Academic literature on the topic 'INS-1 Zellen'

ZusammenfassungIn Deutschland gibt es regionale Fahrverbote für ältere Dieselfahrzeuge ohne SCR-Katalysator bei Überschreitung der Grenzwerte für NO2. Dies hat zu einer intensiven Diskussion über die Rolle der Luftschadstoffe für die Gesundheit geführt. In der Replik wird dargestellt, dass die Daten zur Wirkung von Stickstoffdioxid (NO2) und Feinstaub (PM10 und PM2,5) nicht ausreichen, um die Fahrverbote zu begründen.Für NO2 gibt es passagere Reaktionen bei unbehandelten Asthmatikern ab 500 µg/m3. Die deutschen Grenzwerte (Jahresmittelwert 40 µg/m3) fußen im Wesentlichen auf einer Metaanalyse von 9 Studien aus Innenraumbelastungen wobei nur in 4 Studien NO2 gemessen wurde. In der großen europäischen Escape-Studie von 2014 wurde kein Einfluss von NO2 auf die Mortalität gefunden.Als Surrogatparameter für andere Schadstoffe ist NO2 ebenfalls nicht mehr geeignet, da seit Einführung der Partikelfilter bei Dieselautos (etwa ab 2000) der KFZ-Anteil am Feinstaub an der Straße unter 10 % liegt. Der Feinstaub besteht im Wesentlichen aus Aufwirbelung von mineralischen, organischen Bodensubstanzen sowie Reifenabrieb und wird am stärksten durch Wetterphänomene, vor allen Dingen durch Sonneneinstrahlung beeinflusst.Die Grenzwerte für NO2 und Feinstaub werden errechnet aus epidemiologischen Beobachtungsstudien. Es findet sich zumeist eine schwache Assoziation zwischen der Konzentra-tion und zahlreichen Erkrankung sowie der Mortalität. Epidemiologische Beobachtungsstudien erlauben nur die Bildung einer Hypothese. Permanente Wiederholungen der Beobachtungsstudien betätigen nur, dass manche gefundenen Phänomene nicht zufällig sind. Eine Kausalität kann daraus nicht abgeleitet werden, da es zahlreiche Erklärungsmodelle neben dem NO2 und Feinstaub gibt. Dazu wären Interventionsstudien im Niedrigdosisbereich sowie Tierexperimente erforderlich. Diese Daten fehlen nahezu komplett bzw. sind, soweit vorhanden, allesamt negativ.Nie diskutiert wird eine starke Widerlegung der Hypothese der Gefährdung von NO2 und Feinstaub im Grenzwertbereich durch das Inhalationsrauchen. Die Raucher stellen quasi einen inhalationstoxikologischen Großversuch dar. Der Zigarettenrauch enthält sehr hohe Feinstaub-, Stickstoffmonoxid- (NO) und NO2-Konzentrationen, die vom Organismus erstaunlich gut toleriert werden. Das hängt damit zusammen, dass NO ein Naturstoff ist, der in den Zellen oder auch in den Nasennebenhöhlen in z. T. sehr hohen Konzentrationen (über 30 000 µg/m3) vorkommt. Eines der Abbauprodukte von NO ist NO2, was im Wasser zu Nitrat und Nitrit disproportioniert wird. Ein Teil von NO2 wird zur Synthese von Fettsäuren verwendet.Zigaretten haben ein Kondensat von ca. 7 – 10 mg. Nimmt man als Vergleich eine lebenslange Dauerbelastung durch Feinstaub und NO2 in den Grenzwertkonzentrationen an, müssten alle Raucher nach wenigen Tagen bis Monaten zahlreiche Erkrankungen entwickeln, die dem Feinstaub und NOx angelastet werden. Auch die Mortalität müsste drastisch erhöht sein; nahezu alle Raucher müssten bereits nach 1 packyear verstorben sein. Der Unterschied wird noch größer, wenn man die nachgewiesene Toxizität und Kanzerogenität des Zigarettenrauchs im Vergleich zu dem i. d. R. deutlich weniger gefährlichen Feinstaub an der Straße ins Verhältnis setzt.

Background: Risk stratification for Immunoglobulin light chain amyloidosis (AL) has been refined with advances in the understanding of disease biology. Although nonspecific, beta 2 microglobulin (β2M) levels correlate with disease burden and are considered a prognostic marker in several hematologic malignancies. Recently, we and others have shown the association of β2M levels with survival in AL. In this study, we evaluated the role of β2M as a predictor of outcome for high-dose chemotherapy and autologous hematopoietic stem cell transplantation (auto-HCT) in patients with AL. Methods: We identified 175 consecutive patients with AL who received auto-HCT between 2009 and 2019 at our institution. A β2M≥3.5 mg/L, regardless of renal function status was used as a cutoff value. Hematologic and organ responses were evaluated according to the Consensus Guidelines for AL. Revised Mayo staging system was utilized for Cardiac staging. Results: The median age at auto-HCT was 60 years (range, 27 to 77). Of 175 patients, 153 (87%) had a β2M value available, of whom 57 (37%) had a β2M ≥ 3.5 mg/L. There were no significant differences in baseline characteristics between the 2 groups, except for the higher level of LDH, worse renal function, and more patients with renal involvement in the β2M ≥ 3.5 group, and more patients with lambda light chain type in the β2M <3.5 group (Table 1). The median follow-up from auto-HCT was 38 months (range; 1 to 124). One-year non-relapse mortality (NRM) was 2%. The 1-year NRM was 5% (n=3) and 1% (n=1) in patients with β2M≥3.5, and β2M<3.5, respectively (p=0.115). Hematologic CR after auto-HCT was seen in 21 (37%), and 38 (40%) patients with β2M≥3.5 and β2M<3.5, respectively (p=0.864). Organ response (OR) after auto-HCT was seen in 36 (73%), and 65 (71%) patients with β2M≥3.5 and β2M<3.5, respectively (p=1.00). The 3-year progression-free survival (PFS) was 66%, and 74% in patients with β2M≥3.5, and β2M<3.5 (p=0.17) (Figure 1A).The 3-year overall survival (OS) was 73%, ad 89% in patients with β2M≥3.5, and β2M<3.5 (p=0.009) (Figure 1B). On Cox-regression multivariate analysis, cardiac involvement with AL (p=0.043), and β2M≥3.5 (p=0.029) were associated with a shorter OS. Conclusion: In this single-center retrospective analysis, we showed that high serum β2M is associated with shorter OS. β2M may be incorporated as a prognostic marker for AL if these findings are confirmed in larger studies. Disclosures Bashir: Acrotech: Research Funding; StemLine: Research Funding; Celgene: Research Funding; Takeda: Other: Advisory Board, Research Funding; KITE: Other: Advisory Board; Amgen: Other: Advisory Board; Purdue: Other: Advisory Board. Hosing:NKARTA Inc.: Consultancy. Popat:Bayer: Research Funding; Novartis: Research Funding. Kebriaei:Novartis: Other: Served on advisory board; Jazz: Consultancy; Ziopharm: Other: Research Support; Kite: Other: Served on advisory board; Pfizer: Other: Served on advisory board; Amgen: Other: Research Support. Shpall:Takeda: Other: Licensing Agreement; Magenta: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Adaptimmune: Membership on an entity's Board of Directors or advisory committees; Zelluna: Membership on an entity's Board of Directors or advisory committees. Manasanch:Sanofi: Research Funding; Adaptive Biotechnologies: Honoraria; GSK: Honoraria; Sanofi: Honoraria; BMS: Honoraria; Takeda: Honoraria; Quest Diagnostics: Research Funding; Merck: Research Funding; JW Pharma: Research Funding; Novartis: Research Funding. Lee:Amgen: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Daiichi Sankyo: Research Funding; Regeneron: Research Funding; Genentech: Consultancy; Janssen: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Sanofi: Consultancy; GlaxoSmithKline: Consultancy, Research Funding; Genentech: Consultancy. Kaufman:Janssen: Research Funding; Karyopharm: Honoraria; Bristol Myers Squibb: Research Funding. Patel:Cellectis: Research Funding; Nektar: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Bristol Myers Squibb: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Precision Biosciences: Research Funding; Oncopeptides: Consultancy; Poseida: Research Funding. Thomas:BMS: Research Funding; Ascentage: Membership on an entity's Board of Directors or advisory committees, Research Funding; X4 Pharma: Research Funding; Genentech: Research Funding; Xencor: Research Funding; Pharmacyclics: Other: Advisory Boards. Orlowski:STATinMED Research: Consultancy; Founder of Asylia Therapeutics, Inc., with associated patents and an equity interest, though this technology does not bear on the current submission.: Current equity holder in private company, Patents & Royalties; Sanofi-Aventis, Servier, Takeda Pharmaceuticals North America, Inc.: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen, Inc., AstraZeneca, BMS, Celgene, EcoR1 Capital LLC, Forma Therapeutics, Genzyme, GSK Biologicals, Ionis Pharmaceuticals, Inc., Janssen Biotech, Juno Therapeutics, Kite Pharma, Legend Biotech USA, Molecular Partners, Regeneron Pharmaceuticals, Inc.,: Honoraria, Membership on an entity's Board of Directors or advisory committees; Laboratory research funding from BioTheryX, and clinical research funding from CARsgen Therapeutics, Celgene, Exelixis, Janssen Biotech, Sanofi-Aventis, Takeda Pharmaceuticals North America, Inc.: Research Funding. Champlin:Genzyme: Speakers Bureau; Johnson and Johnson: Consultancy; Actinium: Consultancy; Cytonus: Consultancy; Omeros: Consultancy; DKMS America: Membership on an entity's Board of Directors or advisory committees; Takeda: Patents & Royalties. Qazilbash:Angiocrine: Research Funding; Bioline: Research Funding; Amgen: Research Funding; Bioclinica: Consultancy; Janssen: Research Funding.

Background- In patients with light chain amyloidosis (AL), t(11;14) detected by fluorescence in situ hybridization (FISH) is the most common cytogenetic aberration. Several studies have shown that t(11;14) is associated with inferior outcomes in newly diagnosed AL patients [1, 2]. In contrast, at least one study in patients with t(11;14) who underwent high-dose therapy and autologous hematopoietic stem cell transplantation (auto-HCT) showed improved complete response (CR) rate and prolonged hematologic event-free survival[3]. In this single-center, retrospective analysis, we evaluated the outcome of patients with AL and t(11;14) who underwent auto-HCT at our institution. Method- We identified 122 consecutive patients with AL with cardiac or renal involvement who received an auto-HCT between 2011 and 2019. Baseline FISH data were available for 92 patients, 15 (16 %) of whom had t(11;14). Seventy-seven (84%) patients without t(11;14) were included as control . Hematologic and organ responses were evaluated according to the Consensus Guidelines for AL [4]. Revised Mayo staging system was utilized for Cardiac staging [5]. Result- The median age at auto-HCT was 60 years (range, 27 to 77). There were no significant differences in baseline characteristics between the two groups (Table 1). The median follow-up from auto-HCT was 28 months (range, 1 to 100). Overall, 40%, and 42% of patients with or without t(11;14), respectively (p=0.573), received post-auto-HCT maintenance therapy. One-year non-relapse mortality (NRM) was 2%. The 1-year NRM was 0 and 2.6% (n=2) in patients with or without t(11;14) (p=0.366). Hematologic CR after auto-HCT was seen in 7 (47%) and 33 (42%) patients with or without t(11;14), respectively (p=0.78). Organ response (OR) after auto-HCT was seen in 10 (71%) and 50 (67%) patients with or without t(11;14), respectively (p=0.586). The 2-year hematologic disease-free survival (Heme DFS) was 93% and 87% with or without t(11;14), respectively (p=0.422). The 2-year progression-free survival (PFS) was 92%, and 87% in patients with or without t(11;14) (p=0.6) (Figure 1A).The 2-year overall survival was 100%, ad 87% in patients with or without t(11;14) (p=0.2) (Figure 1B). Cardiac involvement with AL was associated with a shorter OS (p=0.012). Conclusion- In this single-center retrospective analysis, we showed that auto-HCT is safe and feasible in selected patients with AL and t(11;14), and these patients have comparable outcomes to patients without t(11;14). Disclosures Bashir: Celgene: Research Funding; StemLine: Research Funding; Acrotech: Research Funding; Takeda: Other: Advisory Board, Research Funding; KITE: Other: Advisory Board; Purdue: Other: Advisory Board; Amgen: Other: Advisory Board. Hosing:NKARTA Inc.: Consultancy. Popat:Bayer: Research Funding; Novartis: Research Funding. Kebriaei:Amgen: Other: Research Support; Pfizer: Other: Served on advisory board; Kite: Other: Served on advisory board; Novartis: Other: Served on advisory board; Ziopharm: Other: Research Support; Jazz: Consultancy. Shpall:Takeda: Other: Licensing Agreement; Magenta: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Adaptimmune: Membership on an entity's Board of Directors or advisory committees; Zelluna: Membership on an entity's Board of Directors or advisory committees. Manasanch:Adaptive Biotechnologies: Honoraria; Sanofi: Research Funding; Novartis: Research Funding; JW Pharma: Research Funding; Merck: Research Funding; Quest Diagnostics: Research Funding; Takeda: Honoraria; BMS: Honoraria; Sanofi: Honoraria; GSK: Honoraria. Lee:Amgen: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Genentech: Consultancy; GlaxoSmithKline: Consultancy, Research Funding; Sanofi: Consultancy; Daiichi Sankyo: Research Funding; Regeneron: Research Funding; Genentech: Consultancy. Kaufman:Janssen: Research Funding; Karyopharm: Honoraria; Bristol Myers Squibb: Research Funding. Patel:Oncopeptides: Consultancy; Celgene: Consultancy, Research Funding; Cellectis: Research Funding; Janssen: Consultancy, Research Funding; Nektar: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Precision Biosciences: Research Funding; Poseida: Research Funding; Bristol Myers Squibb: Consultancy, Research Funding. Thomas:Ascentage: Membership on an entity's Board of Directors or advisory committees, Research Funding; X4 Pharma: Research Funding; Xencor: Research Funding; Pharmacyclics: Other: Advisory Boards; Genentech: Research Funding; BMS: Research Funding. Orlowski:STATinMED Research: Consultancy; Founder of Asylia Therapeutics, Inc., with associated patents and an equity interest, though this technology does not bear on the current submission.: Current equity holder in private company, Patents & Royalties; Sanofi-Aventis, Servier, Takeda Pharmaceuticals North America, Inc.: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen, Inc., AstraZeneca, BMS, Celgene, EcoR1 Capital LLC, Forma Therapeutics, Genzyme, GSK Biologicals, Ionis Pharmaceuticals, Inc., Janssen Biotech, Juno Therapeutics, Kite Pharma, Legend Biotech USA, Molecular Partners, Regeneron Pharmaceuticals, Inc.,: Honoraria, Membership on an entity's Board of Directors or advisory committees; Laboratory research funding from BioTheryX, and clinical research funding from CARsgen Therapeutics, Celgene, Exelixis, Janssen Biotech, Sanofi-Aventis, Takeda Pharmaceuticals North America, Inc.: Research Funding. Champlin:Actinium: Consultancy; Omeros: Consultancy; Takeda: Patents & Royalties; Cytonus: Consultancy; DKMS America: Membership on an entity's Board of Directors or advisory committees; Genzyme: Speakers Bureau; Johnson and Johnson: Consultancy. Qazilbash:Janssen: Research Funding; Bioline: Research Funding; Angiocrine: Research Funding; Amgen: Research Funding; Bioclinica: Consultancy.

Background: Hematopoietic cell transplantation (HCT) is an integral part of the treatment of multiple myeloma (MM). While autologous stem cell transplantation (auto-HCT) is most commonly used, the duration of response is typically finite. Allogeneic HCT (allo-HCT) can provide prolonged survival in some patients, given the added benefit of the graft-versus-myeloma effect. However, long-term data is needed to show this improvement. Method: We retrospectively reviewed a cohort of 37 consecutive patients with newly diagnosed MM who received allo-HCT as part of consolidation therapy between 1994 to 2016. Results: The median age was 54 years (range, 32 to 68), and 54% were male. The Revised International Staging System (R-ISS) stages were I, II, III, and unknown in 27%, 38%, 11%, and 24% of patients, respectively. High-risk cytogenetics (IMWG definition) was identified in 22% of patients. The median time from diagnosis to allo-HCT was 8.8 months (range; 3.3 to 34.3). For induction treatment, fourteen patients (38%) received a combination of immunomodulatory drug (IMiD) plus proteasome inhibitor (PI), sixteen patients (43%) received either IMiD or PI in combination with other agents, and seven patients (19%) did not receive either an IMiD or PI. Twenty-seven (73%) patients received auto-HCT before allo-HCT. Thirty-four (92%) patients received allo-HCT as part of various clinical trials. Median time from auto-HCT to allo-HCT was 4 months (2.5 to 27.3). Prior to allo-HCT, 1 (3%) patient was in complete remission (CR), 18 (48.5%) were in very good partial remission (VGPR), and 18 (48.5%) were in partial remission (PR). Twenty-three (62%) patients received non-myeloablative (NMA) conditioning, 10 (27%) reduced-intensity (RIC), and 4 (11%) myeloablative conditioning (MAC). The graft source was matched unrelated (MUD) in 16% and matched sibling donor (MRD) in 84% of patients. Ten (27%) patients received maintenance therapy after allo-HCT, including bortezomib (n=2), thalidomide (n=2), ixazomib (n=2), and lenalidomide (n=4). The median days to neutrophil and platelet engraftment was 12 (ANC ≥500/µL_ range; 10 to 59) and 13 (platelet count ≥20K/µL _range; 9 to 70), respectively. The cumulative incidence (CI) of non-relapse mortality (NRM) was 16% at 1-year and 19% at 3-years after allo-HCT. There was no difference in NRM between MAC or NMA/RIC conditioning. The overall response rate (PR or better) was 97%, with a 54% stringent CR+CR rate. The incidence of grade I-IV acute graft-versus-host disease (GVHD) was 35%, while chronic GVHD was seen in 62%. Causes of death were deemed to be disease-related in 8 patients, treatment-related in 11 patients, and 1 unknown. The median follow-up in surviving patients was 12.6 years (range; 2.8 to 15.8 years). The 3, 5, and 10-year actuarial overall survival (OS) rates were 70%, 56%, and 47%, respectively (Figure 1A). The 3, 5, and 10-year actuarial progression-free survival (PFS) rates were 66%, 50%, and 36%, respectively (Figure 1B). At the last follow up, 46% (n=17) of patients were alive in the entire cohort, 65% (n=11) of which survived for longer than 10-years from transplant. Sixteen percent (n=6) remained alive and in continued remission for more than 10 years from transplant, one-third of whom received maintenance treatment post allo-HCT. The longest ongoing remission was 15.8 years in this cohort. Conclusion: Allo-HCT may result in durable (>10 years) remission in a number of MM patients when performed early in the disease course. Larger studies would help identify the patients who would benefit the most, given the risk of graft-versus-host disease after allo-HCT. Disclosures Popat: Bayer: Research Funding; Novartis: Research Funding. Kebriaei:Pfizer: Other: Served on advisory board; Kite: Other: Served on advisory board; Amgen: Other: Research Support; Jazz: Consultancy; Novartis: Other: Served on advisory board; Ziopharm: Other: Research Support. Oran:Celgene: Consultancy; ASTEX: Research Funding; Arog Pharmaceuticals: Research Funding. Hosing:NKARTA Inc.: Consultancy. Manasanch:Adaptive Biotechnologies: Honoraria; GSK: Honoraria; Sanofi: Honoraria; BMS: Honoraria; Takeda: Honoraria; Quest Diagnostics: Research Funding; Merck: Research Funding; JW Pharma: Research Funding; Novartis: Research Funding; Sanofi: Research Funding. Lee:Amgen: Consultancy, Research Funding; Genentech: Consultancy; Regeneron: Research Funding; Daiichi Sankyo: Research Funding; Sanofi: Consultancy; GlaxoSmithKline: Consultancy, Research Funding; Genentech: Consultancy; Takeda: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Celgene: Consultancy, Research Funding. Kaufman:Karyopharm: Honoraria; Bristol Myers Squibb: Research Funding; Janssen: Research Funding. Patel:Precision Biosciences: Research Funding; Takeda: Consultancy, Research Funding; Cellectis: Research Funding; Janssen: Consultancy, Research Funding; Poseida: Research Funding; Oncopeptides: Consultancy; Nektar: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Bristol Myers Squibb: Consultancy, Research Funding. Orlowski:Founder of Asylia Therapeutics, Inc., with associated patents and an equity interest, though this technology does not bear on the current submission.: Current equity holder in private company, Patents & Royalties; STATinMED Research: Consultancy; Sanofi-Aventis, Servier, Takeda Pharmaceuticals North America, Inc.: Honoraria, Membership on an entity's Board of Directors or advisory committees; Laboratory research funding from BioTheryX, and clinical research funding from CARsgen Therapeutics, Celgene, Exelixis, Janssen Biotech, Sanofi-Aventis, Takeda Pharmaceuticals North America, Inc.: Research Funding; Amgen, Inc., AstraZeneca, BMS, Celgene, EcoR1 Capital LLC, Forma Therapeutics, Genzyme, GSK Biologicals, Ionis Pharmaceuticals, Inc., Janssen Biotech, Juno Therapeutics, Kite Pharma, Legend Biotech USA, Molecular Partners, Regeneron Pharmaceuticals, Inc.,: Honoraria, Membership on an entity's Board of Directors or advisory committees. Thomas:Ascentage: Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Research Funding; X4 Pharma: Research Funding; Pharmacyclics: Other: Advisory Boards; Xencor: Research Funding; Genentech: Research Funding. Shpall:Takeda: Other: Licensing Agreement; Magenta: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Adaptimmune: Membership on an entity's Board of Directors or advisory committees; Zelluna: Membership on an entity's Board of Directors or advisory committees. Champlin:Takeda: Patents & Royalties; Actinium: Consultancy; Johnson and Johnson: Consultancy; Omeros: Consultancy; Cytonus: Consultancy; DKMS America: Membership on an entity's Board of Directors or advisory committees; Genzyme: Speakers Bureau. Qazilbash:Bioclinica: Consultancy; Amgen: Research Funding; Angiocrine: Research Funding; Bioline: Research Funding; Janssen: Research Funding. Bashir:Celgene: Research Funding; Amgen: Other: Advisory Board; Purdue: Other: Advisory Board; Takeda: Other: Advisory Board, Research Funding; Acrotech: Research Funding; StemLine: Research Funding; KITE: Other: Advisory Board.

Introduction: Peripheral T-cell lymphoma (PTCL) comprises a heterogeneous group of rare neoplasms, the majority characterized by an aggressive course and short survival. Angioimmunoblastic T-cell lymphoma (AITL) is the second most common subtype (19%) of PTCLs, with generally poor long-term prognosis. The outcomes for most reported cases of AITL are derived from cohorts which include other PTCL subtypes. There is limited data for the role of autologous stem cell transplantation (ASCT) in AITL, and the associated predictive factors for prognosis. We present the largest single center cohort of AITL patients who underwent ASCT either upfront or at time of relapse. Methods: We included consecutive patients with AITL who had confirmed diagnosis and underwent ASCT at our institution from May 2000 to November 2019. Primary endpoints: progression free survival (PFS) and overall survival (OS). Secondary endpoints were cumulative incidence of relapse (CIR), non-relapse mortality (NRM), and to identify prognostic factors associated with PFS and OS. Kaplan-Meier method was used to estimate OS and PFS. CIR and NRM were determined using the competing risks method. Cox regression analyses were used to determine prognostic factors. Results: The study included 54 patients with a median age of 63 (range, 37-77) years and male predominance (57%). All patients had advanced stage III/IV at diagnosis. Additional patient and disease characteristics are outlined in Table 1. Carmustine, etoposide, cytarabine, and melphalan (BEAM) with (30%) or without (57%) rituximab (R; used at the discretion of treating physician for EBER-positive AITL) were the most commonly used preparative regimens. With a median follow-up of 47.4 (range, 7.1-142.2) months, the median PFS and OS of all study patients were 41 and 108 months, respectively. The 2- and 4-year PFS/OS were 58%/83% and 46%/65%, respectively. CIR of relapse at 1, 2, and 4 years were 30%, 34%, and 44%, respectively. NRM at 1, 2, and 4 years were 7.5%, 7.5%, and 10%, respectively. All variables listed in Table 1 were assessed for their prognostic impact in univariate analysis (UVA) for PFS and OS. Of those, transplant for relapsed AITL (HR 3.716 95% CI: 1.728-7.991; p=0.0008) and high LDH at transplant (HR 2.139, 95% CI: 1.023-4.471; p=0.0433) were significantly associated with worse PFS (Figure 1A, C). There was a tendency for improved PFS for women (HR 0.56, 95% CI: 0.259-1.209; p=0.1398) and patients who received R-BEAM conditioning (HR for BEAM 1.99, 95% CI: 0.808-4.899; p=0.1344). Similar UVA results were noted for OS, where transplant for relapsed AITL (HR 2.943, 95% CI: 1.173-7.382; p=0.0214) and high LDH at transplant (HR 2.771, 95% CI: 1.076-7.138; p=0.0348) were significantly associated with worse OS (Figure 1B, D). On multivariable analysis (MVA), transplant at relapse (HR 3.716 95% CI: 1.728-7.991; p=0.0008) was associated with inferior PFS (HR 3.038, 95% CI: 1.386-6.659; p=0.0055) and OS (HR 2.291, 95% CI: 1.054-4.979; p=0.0364). High LDH at transplant was associated with worse PFS (HR 2.291, 95% CI: 1.054-4.979; p=0.0364), and with a trend for inferior OS (HR 2.259, 95% CI: 0.838-6.093; p=0.1073). Only 10 (19%) patients were transplanted with active disease at transplant; disease status at transplant didn't have a significant impact on outcomes in UVA and MVA. A subset analysis subgrouping patients by 1 (n=33) vs 2 (n=16) vs >2 (n=5) prior lines of therapy showed no significant difference in outcomes between 2 vs >2 prior lines of therapy. Conclusions: Upfront ASCT is associated with significantly improved and durable survival in patients with AITL. Receiving more than one prior line of therapy (transplant for relapsed AITL) and elevated LDH at transplant are associated with very poor prognosis, for which allogeneic transplant and alternative novel therapies should be further explored. Disclosures Nieto: Secura Bio: Other: Grant Support; Astra Zeneca: Other: Grant Support; Novartis: Other: Grant Support; Affimed: Consultancy, Other: Grant Support. Popat:Bayer: Research Funding; Novartis: Research Funding. Qazilbash:Angiocrine: Research Funding; Janssen: Research Funding; Bioline: Research Funding; Amgen: Research Funding; Bioclinica: Consultancy. Shpall:Takeda: Other: Licensing Agreement; Novartis: Membership on an entity's Board of Directors or advisory committees; Magenta: Membership on an entity's Board of Directors or advisory committees; Zelluna: Membership on an entity's Board of Directors or advisory committees; Adaptimmune: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees. Flowers:Cancer Prevention and Research Institute of Texas: Research Funding; Karyopharm: Consultancy; Pharmacyclics/Janssen: Consultancy; Eastern Cooperative Oncology Group: Research Funding; Burroughs Wellcome Fund: Research Funding; TG Therapeutics: Research Funding; Millennium/Takeda: Consultancy, Research Funding; Acerta: Research Funding; Spectrum: Consultancy; National Cancer Institute: Research Funding; V Foundation: Research Funding; Kite: Research Funding; Bayer: Consultancy; Leukemia and Lymphoma Society: Membership on an entity's Board of Directors or advisory committees; Genentech, Inc./F. Hoffmann-La Roche Ltd: Consultancy, Research Funding; Denovo Biopharma: Consultancy; Celgene: Consultancy, Research Funding; BeiGene: Consultancy; AbbVie: Consultancy, Research Funding; Gilead: Consultancy, Research Funding; OptumRx: Consultancy. Champlin:Johnson and Johnson: Consultancy; DKMS America: Membership on an entity's Board of Directors or advisory committees; Genzyme: Speakers Bureau; Cytonus: Consultancy; Omeros: Consultancy; Takeda: Patents & Royalties; Actinium: Consultancy. Hosing:NKARTA Inc.: Consultancy. Khouri:Bristol Myers Squibb: Research Funding; Pfizer: Research Funding.

HDC/ASCT is standard treatment of chemosensitive relapsed HL, with worse results for high-risk relapses (HRR) than for low-risk relapses. Aiming to improve the results of BEAM, we have studied newer HDC regimens seeking synergistic inhibition of DNA damage repair: gemcitabine/busulfan/melphalan (GBM) (Nieto, 2012) and vorinostat + GBM (SAHA/GBM) (Nieto, 2015). We wished to describe the evolution of results in HRR HL over the last 15 years and identify prognostic features. Methods We retrospectively analyzed all pts with HRR HL treated at MDACC with HDC/ASCT between 1/1/2005-12/31/2019. HRR HL was defined by ≥1 of the modified AETHERA criteria: primary refractory disease, relapse within 1 year of completing initial therapy, extranodal extension at relapse, B symptoms at relapse, or requiring > 1 salvage therapy line. All pts underwent similar pre-SCT evaluation and met eligibility criteria as per our institutional guidelines. HDC regimens included BEAM, busulfan/melphalan (BuMel), GBM and SAHA/GBM. Post-ASCT consolidative radiotherapy (RT) was considered for bulky relapses and/or PET+ lesions at ASCT. We evaluated age, gender, ASCT year, primary refractory disease, prior disease-free interval (DFI), prior radiotherapy (RT), relapse within prior RT field, extranodal extension at relapse, B symptoms at relapse, bulky relapse (largest lesion >5 cm), No. prior relapses, No. prior lines of therapy, prior brentuximab vedotin (BV), prior anti-PD1, PET results at ASCT, post-ASCT maintenance BV and post-ASCT RT. Differences by regimen cohort were tested with Kruskal Wallis or chi-square tests. Outcomes were compared with the log-rank test. Univariable and multivariable Cox regression analyses evaluated factors associated with progression-free survival (PFS) and overall survival (OS). Results A total of 501 pts, treated with BEAM (N=146), BuMel (N=38), GBM (N=189) and SAHA/GBM (N=128), were analyzed (Table 1). The GBM and SAHA/GBM cohorts had significantly more high-risk criteria (P=0.0006), with more pts with primary refractory disease (P=0.001) and bulky relapse (P<0.0001), as well as more pts with PET+ disease at ASCT (P=0.0002), and were slightly younger (P=0.04). Patient- and tumor-related variables did not change over time but there was a significant increase in prior BV (P<0.0001) and anti-PD1 (P<0.0001), a decrease in PET+ disease at ASCT (P=0.0008), and an increase in post-SCT BV (P<0.0001). BEAM and BuMel predominated earlier, GBM and BEAM in middle years, and SAHA/GBM and BEAM in later years (P<0.0001). Consequently, the SAHA/GBM cohort received more prior BV (P<0.0001) and anti-PD1 (P= 0.0001), and more post-ASCT BV (P<0.0001). At a median follow-up of 50 months (6-186), 205 pts (40.9%) experienced relapse and 129 pts (25.8%) died. There were 2 ASCT-related deaths (both after BEAM) and 11 cases of t-MDS/AML (2 BuMel, 5 BEAM, 3 GBM and 1 SAHA/GBM). Outcomes improved significantly over time, with 2-year PFS/OS of 58%/82% (2004-2007), 59%/83% (2008-2011), 71%/94% (2012-2015) and 86%/99% (2016-2019) (P<0.0001) (Fig. 1 and 2). Multivariable analyses of PFS identified as independent favorable predictors: Prior BV (HR 0.61, P=0.03) and SAHA/GBM (GBM HR 1.24 compared to SAHA/GBM, BuMel HR 2.24, BEAM HR 2.26) (P=0.0003) (Fig. 3). The following were independent adverse PFS predictors: Primary refractory disease (HR 1.46, P=0.02), >2 prior lines (HR 1.51, P=0.04), bulky relapse (HR 1.45, P=0.01), B symptoms (HR 1.58, P=0.009), and PET+ at ASCT (HR 2.54, P<0.0001). Regarding OS, prior BV (HR 0.48, P=0.03) and SAHA/GBM (GBM: HR 1.55, BuMel: HR 5.08, BEAM: HR 5.31) (P<0.0001) (Fig. 4) were independent favorable predictors, whereas age >35 (HR 1.84, P=0.001), >2 prior lines (HR 1.89, P=0.01), B symptoms (HR 1.63, P=0.02), and PET+ (HR 2.24, P<0.0004) were adverse predictors. Post-SCT maintenance BV correlated with better PFS in univariate analyses (P=0.01) but did not retain significance in MVA (P=0.1). The 5-yr PFS/OS rates were: S/GBM: 72/87%, GBM: 55/75%, BEAM: 45/61% and BuMel: 39/57%. These differences persisted both within the PET-negative (P=0.0002 / P<0.0001) and PET+ subgroups (P=0.002 / P<0.0001). Conclusions Outcomes of HRR HL pts have improved over the last 15 years. Incorporation of newer agents (BV and anti-PD1) to salvage therapy, resulting in more PET-negative CRs at ASCT, and the use of more active HDC regimens (especially, SAHA/GBM) were associated with these improved results. Disclosures Nieto: Novartis: Other: Grant Support; Affimed: Consultancy, Other: Grant Support; Secura Bio: Other: Grant Support; Astra Zeneca: Other: Grant Support. Hosing:NKARTA Inc.: Consultancy. Kebriaei:Amgen: Other: Research Support; Jazz: Consultancy; Kite: Other: Served on advisory board; Ziopharm: Other: Research Support; Novartis: Other: Served on advisory board; Pfizer: Other: Served on advisory board. Popat:Bayer: Research Funding; Novartis: Research Funding. Qazilbash:Janssen: Research Funding; Bioline: Research Funding; Angiocrine: Research Funding; Amgen: Research Funding; Bioclinica: Consultancy. Alousi:Therakos: Research Funding; Alexion: Honoraria; Incyte: Honoraria, Research Funding. Shpall:Takeda: Other: Licensing Agreement; Magenta: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Adaptimmune: Membership on an entity's Board of Directors or advisory committees; Zelluna: Membership on an entity's Board of Directors or advisory committees. Rezvani:GemoAb: Membership on an entity's Board of Directors or advisory committees; Formula Pharma: Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Other: Educational grant; Affimed: Other: Educational grant; Takeda: Other: Licensing agreement; Adicet Bio: Membership on an entity's Board of Directors or advisory committees; Virogen: Membership on an entity's Board of Directors or advisory committees. Khouri:Pfizer: Research Funding; Bristol Myers Squibb: Research Funding. Parmar:Cellenkos Inc.: Current equity holder in private company, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties, Research Funding. Champlin:Genzyme: Speakers Bureau; DKMS America: Membership on an entity's Board of Directors or advisory committees; Cytonus: Consultancy; Actinium: Consultancy; Takeda: Patents & Royalties; Omeros: Consultancy; Johnson and Johnson: Consultancy. OffLabel Disclosure: Vorinostat and busulfan were used as part of conditioning regimens for ASCT for Hodgkin lymphoma.

Introduction. The efficacy of CAR T-cell therapy in relapsed/refractory (r/r) LBCL has been associated with peak CAR T-cell expansion post-infusion. One of the critical factors that drives CAR T-cell expansion is the availability of homeostatic cytokines, such as IL-15, at the time of infusion. Consistent with this hypothesis, serum IL-15 levels have been associated with CAR T-cell therapy expansion and efficacy, higher levels favoring improved outcomes. Since induction of lymphodepleting conditioning (LDC) therapy results in decreased consumption of homeostatic cytokines and thereby increases their serum levels, we aimed to determine whether the magnitude of change in absolute lymphocyte count (ALC) pre- and post-conditioning, referred to as delta lymphocyte index (DLIx), impacts outcomes after CAR T-cell therapy in r/r LBCL. Methods. This is a retrospective study of all patients with r/r LBCL treated with standard of care (SOC) axicabtagene ciloleucel (axi-cel) at MD Anderson Cancer Center between 01/2018 and 04/2020 (data cut-off 06/30/2020). DLIx was defined as the difference in ALC between day of initiation of LDC and day of axi-cel infusion. All patients received LDC therapy with cyclophosphamide and fludarabine. CRS and ICANS were prospectively graded according to CARTOX criteria from 01/2018 to 04/2019, and ASTCT criteria from 05/2019 onward. Response to treatment and progression were defined according to 2014 Lugano criteria. Results. All 171 LBCL patients treated with SOC axi-cel were included in the analysis. At time of initiation of LDC, median age was 59 years (range, 18-85 years), 120 (70%) were male, 151 (88%) had an ECOG performance status of 0-1; 96 (56%) had an IPI > 3, median number of prior systemic therapies was 4 (range, 2-15), 45 (26%) had received an autologous SCT, 3 (2%) an allogeneic SCT; 86 (50%) patients received bridging therapy, including chemotherapy in 52 (30%), radiotherapy in 21 (12%), and biological therapy or corticosteroids in 13 (8%). Median ALC at time of LDC was 0.6 X 109/L (range, 0-2.8 X 109/L) and < lower limit of normal (LLN) in 131 (77%) patient; at time of axi-cel infusion it was 0.03 X109/L (range, 0-1.9 X109/L), and median DLIx was 0.5 X 109/L (range, 0.01-2.75 X 109/L). Ten (6%) patients experienced a delay between LDC and axi-cel infusion, with a median time of 13 days (range, 7-19 days), but no association between delay and DLIx was observed (p=0.79). On univariate analysis, the baseline characteristics associated with low DLIx were ALC < LLN (p<0.001), platelet count < LLN (p=0.003) and use of bridging therapy (p=0.02). On MVA, only the association between low DLIx and use of bridging therapy was maintained (Odds Ratio 0.4, 95% 0.2-0.8, p=0.007)(Figure), whereas the association with ALC < LLN was not maintained. Overall, 13 (8%) patients had grade (Gr) 3-4 CRS, and 61 (36%) had Gr 3-4 ICANS. There was no association between DLIx and incidence of Gr 3-4 CRS (p=0.28) or Gr 3-4 ICANS (0.43). Of 164 patients evaluable for response, complete responses (CR) was achieved in 89 (54%) patients, and DLIx was significantly higher in patients who achieved CR vs. non-CR (p=0.04)(Figure). After a median follow-up of 9 months (95% CI, 7-11 months), 94 patients progressed and/or died, and median progression-free survival (PFS) was 6 months (95% CI, 4-8 months). Median PFS was significantly shorter in patients with low DLIx (Q1 vs. Q2-4): 3 months vs 9 months (p=0.002). The association was maintained also after adjusting for bridging therapy use (Hazard Ratio (HR) 0.6, 95% CI 0.4-0.9; p=0.02)(Figure). At data cut-off, 56 (33%) patients died and median OS was not reached. Median OS was significantly shorter among patients with low DLIx (Q1 vs Q2-4) (7 months vs not reached, p<0.001). The association was maintained after adjusting for bridging therapy use (HR 0.4, 95% CI 0.2-0.7; p=0.001) (Figure). Discussion. DLIx has prognostic value in patients with r/r LBCL treated with axi-cel, with low DLIx independently associating with worse outcome. Additional studies are planned and will be presented to determine whether the pharmacokinetics of cyclophosphamide and fludarabine or other host factors impact DLIx, and whether levels of homeostatic cytokines correlate with DLIx. Such studies could lead to optimization of conditioning therapy and development of future combination strategies, aimed at improving CAR T-cell efficacy in these patients. Figure 1 Disclosures Lee: Takeda: Research Funding; Celgene: Research Funding; Guidepoint Blogal: Consultancy; Oncternal Therapeutics: Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Aptitude Health: Speakers Bureau; Seattle Genetics: Research Funding. Iyer:Legend Biotech: Consultancy; Daiichi Sankyo: Consultancy; Seattle Genetics, Inc.: Research Funding; Merck: Research Funding; Afffimed: Research Funding; Trillium: Research Funding; Curio Biosciences: Honoraria; CRISPR: Research Funding; Spectrum: Research Funding; Rhizen: Research Funding; Target Oncology: Honoraria. Nastoupil:Pfizer: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Merck: Research Funding; Karus Therapeutics: Research Funding; TG Therapeutics: Honoraria, Research Funding; LAM Therapeutics: Research Funding; Janssen: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; Gilead/KITE: Honoraria; Gamida Cell: Honoraria; Genentech, Inc.: Honoraria, Research Funding; Bayer: Honoraria. Parmar:Cellenkos Inc.: Current equity holder in private company, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties, Research Funding. Wang:Juno: Consultancy, Research Funding; Kite Pharma: Consultancy, Other: Travel, accommodation, expenses, Research Funding; Pulse Biosciences: Consultancy; OMI: Honoraria, Other: Travel, accommodation, expenses; AstraZeneca: Consultancy, Honoraria, Other: Travel, accommodation, expenses, Research Funding; Dava Oncology: Honoraria; InnoCare: Consultancy; Oncternal: Consultancy, Research Funding; Nobel Insights: Consultancy; Guidepoint Global: Consultancy; Targeted Oncology: Honoraria; Molecular Templates: Research Funding; OncLive: Honoraria; VelosBio: Research Funding; Celgene: Consultancy, Other: Travel, accommodation, expenses, Research Funding; Pharmacyclics: Consultancy, Honoraria, Other: Travel, accommodation, expenses, Research Funding; Janssen: Consultancy, Honoraria, Other: Travel, accommodation, expenses, Research Funding; BioInvent: Research Funding; Beijing Medical Award Foundation: Honoraria; Lu Daopei Medical Group: Honoraria; MoreHealth: Consultancy; Acerta Pharma: Research Funding; Verastem: Research Funding; Loxo Oncology: Consultancy, Research Funding. Shpall:Takeda: Other: Licensing Agreement; Magenta: Membership on an entity's Board of Directors or advisory committees; Adaptimmune: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Zelluna: Membership on an entity's Board of Directors or advisory committees. Kebriaei:Pfizer: Other: Served on advisory board; Ziopharm: Other: Research Support; Amgen: Other: Research Support; Jazz: Consultancy; Novartis: Other: Served on advisory board; Kite: Other: Served on advisory board. Westin:Genentech: Consultancy; Novartis: Consultancy; Janssen: Consultancy; Curis: Consultancy; 47 Inc: Consultancy; Kite: Consultancy; Juno: Consultancy; MorphoSys: Consultancy; Unum: Consultancy. Neelapu:N/A: Other; Takeda Pharmaceuticals: Patents & Royalties; Karus Therapeutics: Research Funding; Pfizer: Other: personal fees; Novartis: Other: personal fees; Bristol-Myers Squibb: Other: personal fees, Research Funding; Merck: Other: personal fees, Research Funding; Kite, a Gilead Company: Other: personal fees, Research Funding; Precision Biosciences: Other: personal fees, Research Funding; Legend Biotech: Other; Unum Therapeutics: Other, Research Funding; Acerta: Research Funding; Adicet Bio: Other; Allogene Therapeutics: Other: personal fees, Research Funding; Cell Medica/Kuur: Other: personal fees; Incyte: Other: personal fees; Poseida: Research Funding; Cellectis: Research Funding; Calibr: Other; Celgene: Other: personal fees, Research Funding.

Introduction. Cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS) are common adverse effects of chimeric antigen receptor (CAR) T-cell therapy. Elevated biomarkers, such as ferritin and LDH, have been shown to correlate with more severe toxicity. The endothelial activation and stress index (EASIX) is a surrogate of endothelial activation, and correlates to other biomarkers of endothelial dysfunction. In allogeneic hematopoietic cell transplantation (HCT), it is predictive of toxicity such as fluid overload, which is correlative with endothelial dysfunction, as well as sinusoidal obstruction syndrome, non relapse mortality and overall survival (Luft et al, BMT 2019, Varma et al, BBMT, 2020, Jiang et al, Haematologica, 2020). In this study we describe the correlation of EASIX to CAR T cell related CRS and ICANS. Methods. Retrospective data from consecutive patients treated with standard of care axi-cel for non-Hodgkin's lymphoma at MD Anderson Cancer Center between January 2018 and April 2020 were included in the study. CRS and ICANS were graded according to CARTOX criteria (Neelapu et al, Nat Rev Clin Oncol, 2018), and after 5/2019, according to the ASTCT criteria (Lee et al, BBMT, 2019). EASIX parameters were recorded prior to lymphodepletion (the latest value on days -12 to -6) and were available for all 171 patients. The score was defined as lactate dehydrogenase (U/L) × creatinine (mg/dL)/ thrombocytes (10^9 cells per L), with LDH adjusted to the upper limit of normal. Predictors of toxicity were evaluated using Fine and Grey regression analysis considering death before grade 2-4 toxicity as a competing risk. Results. 171 consecutive patients treated with commercial axi-cel for diffuse large B cell lymphoma (n=133), transformed follicular lymphoma (n=28) and primary mediastinal lymphoma (n=10) were included in the study. Median age was 59 years (range, 18-85), and 120 (70%) were male. 151 patients had an ECOG performance status ≤1, 45 patients (26%) had a previous autologous HCT, and 3 (1.8%) had a previous allogeneic HCT. Prior to lymphodepletion, 96 (56%) patients had a high IPI score (≥3) and 134 (78%) were refractory to the previous line of treatment. With a median follow-up of 259 days (range: 25-800) since infusion, ICANS of any grade was noted in 109 (64%) patients, with 84 (49%) having grades 2-4. CRS of any grade was observed in 160 (93%) patients, with 81 (47%) having grades 2-4 CRS. A total of 56 (33%) patients were diagnosed with grade 2-4 ICANS and CRS. The median EASIX score for the entire cohort was 2.1 (range: 0.3-283; inter-quartiles: 1.1 and 4.6). On univariate analysis, EASIX levels above the median were associated with higher cumulative incidence (CI) of grade 2-4 ICANS (% CI: 61 vs 31%; HR=2.4, p<0.001); and levels above the upper quartile were associated with grade 2-4 CRS (% CI: 71 vs 38%; HR=2.2, p=0.02), (Figure 1,2). Additional predictors of grade 2-4 toxicity included IPI score ≥3 (HR=1.6, p=0.03) and female gender (HR=1.7, p=0.05) for ICANS; and IPI score ≥ 3 (HR=1.6, p=0.04) and lack of prior autologous transplant (HR=2, p=0.02) for CRS. Multivariate analysis showed EASIX score to be an independent predictor of grade 2-4 ICANS (HR=2.3, p=0.001) or CRS (HR=2.3, p=0.001); female gender of ICANS (HR=1.7, p=0.03) and lack of prior autologous transplant of CRS (HR=1.9, p=0.02). The impact of IPI did not reach statistical significance for either ICANS (HR=1.3, p=0.3) or CRS (HR=1.2, p=0.4). Further multivariate analysis for other biomarkers and their incorporation into a revised biomarker score will be presented at the meeting. Conclusions. Our results suggest that the EASIX score prior to lymphodepletion predicts higher grade CRS and ICANS in patients receiving axi-cel. These results of routinely available clinical variables require further prospective studies for validation, however our study shows that this score may better stratify patient risk of toxicity, and possibly inform clinical decisions and prevention strategies for patients at higher risk. Disclosures Nieto: Secura Bio: Other: Grant Support; Novartis: Other: Grant Support; Astra Zeneca: Other: Grant Support; Affimed: Consultancy, Other: Grant Support. Hosing:NKARTA Inc.: Consultancy. Westin:47: Research Funding; Amgen: Consultancy; Morphosys: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; BMS: Consultancy, Research Funding; Kite: Consultancy, Research Funding; Curis: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Astra Zeneca: Consultancy, Research Funding; Genentech: Consultancy, Research Funding. Lee:Celgene: Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Guidepoint Blogal: Consultancy; Aptitude Health: Speakers Bureau; Oncternal Therapeutics: Research Funding; Seattle Genetics: Research Funding; Takeda: Research Funding. Nastoupil:Celgene: Honoraria, Research Funding; Karus Therapeutics: Research Funding; Bayer: Honoraria; Genentech, Inc.: Honoraria, Research Funding; Gamida Cell: Honoraria; Gilead/KITE: Honoraria; Novartis: Honoraria, Research Funding; Merck: Research Funding; TG Therapeutics: Honoraria, Research Funding; LAM Therapeutics: Research Funding; Janssen: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding. Parmar:Cellenkos Inc.: Current equity holder in private company, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties, Research Funding. Wang:Guidepoint Global: Consultancy; Dava Oncology: Honoraria; Verastem: Research Funding; Molecular Templates: Research Funding; Celgene: Consultancy, Other: Travel, accommodation, expenses, Research Funding; OMI: Honoraria, Other: Travel, accommodation, expenses; Nobel Insights: Consultancy; Lu Daopei Medical Group: Honoraria; Beijing Medical Award Foundation: Honoraria; Pharmacyclics: Consultancy, Honoraria, Other: Travel, accommodation, expenses, Research Funding; MoreHealth: Consultancy; AstraZeneca: Consultancy, Honoraria, Other: Travel, accommodation, expenses, Research Funding; Janssen: Consultancy, Honoraria, Other: Travel, accommodation, expenses, Research Funding; Oncternal: Consultancy, Research Funding; OncLive: Honoraria; InnoCare: Consultancy; Targeted Oncology: Honoraria; Loxo Oncology: Consultancy, Research Funding; Pulse Biosciences: Consultancy; Kite Pharma: Consultancy, Other: Travel, accommodation, expenses, Research Funding; Juno: Consultancy, Research Funding; BioInvent: Research Funding; VelosBio: Research Funding; Acerta Pharma: Research Funding. Flowers:AbbVie: Consultancy, Research Funding; Kite: Research Funding; Leukemia and Lymphoma Society: Membership on an entity's Board of Directors or advisory committees; V Foundation: Research Funding; Cancer Prevention and Research Institute of Texas: Research Funding; Bayer: Consultancy; National Cancer Institute: Research Funding; Eastern Cooperative Oncology Group: Research Funding; Burroughs Wellcome Fund: Research Funding; TG Therapeutics: Research Funding; Millennium/Takeda: Consultancy, Research Funding; Acerta: Research Funding; Spectrum: Consultancy; Pharmacyclics/Janssen: Consultancy; Karyopharm: Consultancy; OptumRx: Consultancy; Gilead: Consultancy, Research Funding; Genentech, Inc./F. Hoffmann-La Roche Ltd: Consultancy, Research Funding; Denovo Biopharma: Consultancy; Celgene: Consultancy, Research Funding; BeiGene: Consultancy. Hawkins:Kite: Membership on an entity's Board of Directors or advisory committees. Rezvani:GemoAb: Membership on an entity's Board of Directors or advisory committees; Affimed: Other: Educational grant; Adicet Bio: Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Other: Educational grant; Virogen: Membership on an entity's Board of Directors or advisory committees; Takeda: Other: Licensing agreement; Formula Pharma: Membership on an entity's Board of Directors or advisory committees. Champlin:Takeda: Patents & Royalties; DKMS America: Membership on an entity's Board of Directors or advisory committees; Genzyme: Speakers Bureau; Actinium: Consultancy; Johnson and Johnson: Consultancy; Omeros: Consultancy; Cytonus: Consultancy. Shpall:Magenta: Membership on an entity's Board of Directors or advisory committees; Takeda: Other: Licensing Agreement; Novartis: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Zelluna: Membership on an entity's Board of Directors or advisory committees; Adaptimmune: Membership on an entity's Board of Directors or advisory committees. Neelapu:Novartis: Other: personal fees; Bristol-Myers Squibb: Other: personal fees, Research Funding; Merck: Other: personal fees, Research Funding; Kite, a Gilead Company: Other: personal fees, Research Funding; Celgene: Other: personal fees, Research Funding; Pfizer: Other: personal fees; Allogene Therapeutics: Other: personal fees, Research Funding; Cell Medica/Kuur: Other: personal fees; Incyte: Other: personal fees; Precision Biosciences: Other: personal fees, Research Funding; Legend Biotech: Other; Adicet Bio: Other; Calibr: Other; Unum Therapeutics: Other, Research Funding; Poseida: Research Funding; Cellectis: Research Funding; Karus Therapeutics: Research Funding; Acerta: Research Funding; Takeda Pharmaceuticals: Patents & Royalties; N/A: Other. Kebriaei:Jazz: Consultancy; Novartis: Other: Served on advisory board; Kite: Other: Served on advisory board; Ziopharm: Other: Research Support; Pfizer: Other: Served on advisory board; Amgen: Other: Research Support.

The trafficking of insulin secretory granules(SGs) of pancreatic b-cells is a tightly controlled complex network. Increasing evidence indicates that the cortical actin cytoskeleton modulates the mobility and exocytosis of SGs,yet the mechanisms anchoring SGs to the cytoskeleton is not completely understood.It has been shown by Ort et al.(2000,2001) that the cytoplasmic tail of an intrinsic membrane protein of the SGs named ICA512/IA-2 binds the PDZ domain of b2-syntrophin,which in turn binds to the F-actin-binding protein utrophin. These data also indicate that stimulation of SG exocytosis affects the phosphorylation of b2-syntrophin,hence altering its binding to ICA512.Therefore a model was proposed whereby SGs are anchored to the actin cytoskeleton through the ICA512/b2-syntrophin complex, whose dynamics are regulated by phosphorylation.To test this model GFP-b2-syntrophin stable INS-1 cell clones were generated.GFP-b2-syntrophin expression and localization pattern were similar to those of the endogenous protein. Electron microscopy showed that in GFP-b2-syntrophin INS-1 cells the number of SGs with a pear-like shape was increased relative to control cells. Insulin content and stimulated secretion were increased in three GFP-â2-syntrophin INS-1 cell clones,compared to non-transfected INS-1 cells and INS-1 cells expressing GFP. These increments correlated with the different expression levels of GFP-b2-syntrophin in the three GFP-b2-syntrophin INS-1 cell clones. These findings support the hypothesis that b2-syntrophin regulates the trafficking and exocytosis of SGs by modulating their tethering to the actin cytoskeleton.In order to confirm the proposed model, the phosphorylation of b2-syntrophin was investigated in more detail. Similar to endogenous b2-syntrophin,GFP-b2-syntrophin underwent Ca2+-dependent and okadaic acid-sensitive dephosphorylation upon stimulation of insulin secretion. Stimulation-dependent dephosphorylation was confirmed by immunoprecipitation of 32P-labeled GFP-b2-syntrophin.Mass spectrometry of immunoprecipitated GFP-b2-syntrophin allowed the identification of four serine-phosphorylation sites (S75,S90,S213,S373) that could affect the binding to ICA512.Mutants,in which all four phosphoserines, were replaced by either asp or ala to mimic(S/D) or prevent(S/A) phosphorylation were expressed in INS-1 cells. All S/D mutants retained a cortical localization,but by immunoblotting the pattern of the S75D allele differed from wild type and all other S/D alleles.Conversely, all S/A alleles were diffused cytosolically, except S213A,which was still restricted to the cortex. Finally, pull down assays showed increased binding of ICA512 to the S75A and S90D alleles compared to wild type b2-syntrophin,while the opposite was observed with the S75D and S90A mutants.Additionally,both the S75 and the S213 allele conform a consensus for phosphorylation by Cdk5,which is known to modulate insulin secretion. The phosphorylation of GFP-b2-syntrophin and particularly the S75 allele by Cdk5 was exhibited with pharmacological inhibitors,by in vitro phosphorylation and by RNAi. Taken together, these findings are consistent with the model by which phosphorylation of b2-syntrophin modulates the tethering of SGs to the cytoskeleton, and thereby their mobility and exocytosis. Specifically, the data of this thesis suggest that Cdk5-dependent phosphorylation of the S75 site of GFP-b2-syntrophin facilitates insulin secretion by reducing the interaction of b2-syntrophin with ICA512,thereby decreasing the actin cytoskeleton constrain on SG mobility. This process could occur in combination with the phosphatase-dependent dephosphorylation of b2-syntrophin at phosphosites other than S75
Der Transport Insulin-gefüllter sekretorische Granula(SG) ist ein streng kontrollierter komplexer Prozess.Es gibt vermehrt Beweise,dass das kortikale Actinzytoskelett die Ausschüttung der SGs beeinflusst.Bisher ist der Mechanismus der Verankerung von SGs am Zytoskelett noch nicht vollständig aufgeklärt.Ort et al.(2000,2001) haben gezeigt,daß der zytosoplasmatische Teil des trans-membranen SG-Proteins ICA512 mit der PDZ-Domäne von b2-Syntrophin interagiert.Dieses Protein bindet das F-Actin-Bindeprotein Utrophin.Die Ergebnisse zeigen außerdem,daß durch Stimulation der SG-Exozytose der Phosphorilierungsstatus von b2-Syntrophin beeinflusst wird,woraus ein verändertes Bindungsvermögen zu ICA512 resultiert.Es wurde ein Funktionsmodel vorgestellt,in dem sich SGs durch die Interaktion des ICA512/b2-Syntrophin Komplexes an das Actinzytoskelett binden.Dabei wird die Bindedynamik durch Phosphorilierung reguliert.Um dieses Model zu etablieren,wurden stabile GFP-b2-Syntrophin produzierende INS-1-Zellklone erzeugt.Die zelluläre Lokalisation und das Expressionsmuster von GFP-b2-Syntrophin stimmen mit dem des endogenen Proteins überein.Elektronenmikroskopie zeigte eine größe Anzahl oval-verformter SGs in GFP-b2-Syntrophin INS-1-Zellen im Vergleich zu Kontrollzellen.Verglichen mit nicht-transfizierten INS-1 Zellen waren in drei GFP-b2-Syntrophin INS-1-Zellklonen der Insulingehalt der Zellen und die stimulierte Insulinsekretion erhöht.Die Werte korrelierten mit den unterschiedlichen GFP-b2-Syntrophin Expressionsmengen der Klone.Diese Ergebnisse untermauern die Hypothese,daß b2-Syntrophin den Transport und die Sekretion der SGs durch Modulation ihres Bindevermögens an Actin reguliert.Um das postulierte Model genauer zu prüfen,wurde die Phosphorilierung von b2-Syntrophin detaillierter untersucht.Das GFP-Protein wurde,ähnlich dem endogenen b2-Syntrophin,durch Stimulation der Insulinausschüttung dephosphoriliert.Diese Dephosphorilierung ist Ca2+-abhängig und Okadeinsäuresensitiv.Die stimulationsabhängige Dephosphorilierung wurde durch Immunoprezipitation von 32P-markiertem GFP-b2-Syntrophin bestätigt.Massenspektrometrie des präzipitierten Proteins ermöglichte die Identifikation von vier Serin-Phosphorilierungsstellen(S75,S90,S213,S373),welche die Bindung zu ICA512 beeinflussen könnten.Mutanten,in denen die vier Phosphoserine durch Asp beziehungsweise Ala ersetzt wurden,um entweder eine Phosphorilierung(S/D) oder Dephosphorilierung(S/A) nachzuahmen,wurden in INS-1-Zellen exprimiert.Alle S/D Mutanten blieben kortikal lokalisiert.Das Expressionsmuster des S75D Allels unterschied sich jedoch von denen des Wild-Typs(wt).Im Gegensatz dazu waren alle S/A Allele zytosolisch verteilt.Eine Ausnahme bildete S213A,das an der Zellkortex lokalisiert blieb.Im Vergleich zu wt b2-Syntrophin zeigten PullDown-Assays eine erhöhte Bindung von ICA512 zu den S75A und S90D Allelen.Das Gegenteil konnte für die S75D und S90A Mutanten nachgewiesen werden.S75,S90 und S213 sind in einer Konsensussequenz für Cdk5-Phosphorilierung enthalten.Diese Kinase kann die Insulinsekretion regulieren.Die Phosphorilierung von b2-Syntrophin,insbesondere des S75 Allels durch Cdk5 wurde durch pharmakologische Inhibitoren,in vitro-Phosphorilierung und RNAi demonstriert.Zusammenfassend stimmen diese Erkenntnisse mit dem Model überein,daß die Phosphorilierung von b2-Syntrophin die Vernetzung von SGs mit Actin und dadurch deren Mobilität und Exozytose moduliert.Im Speziellen postulieren die Ergebnisse dieser Arbeit eine Cdk5-abhängige Phosphorilierung der S75 Stelle des b2-Syntrophins.Durch eine verminderte Interaktion von b2-Syntrophin und ICA512 erleichtert diese Mutante vermutlich die Insulinsekretion,da der Einfluss des Actinzytoskeletts auf die Granulamobilität vermindert ist.Dieser Prozess ereignet sich möglicherweise in Kombination mit einer Dephosphorilierung des b2-Syntrophins.in Kombination mit einer Dephosphorilierung des b2-Syntrophins

The trafficking of insulin secretory granules(SGs) of pancreatic b-cells is a tightly controlled complex network. Increasing evidence indicates that the cortical actin cytoskeleton modulates the mobility and exocytosis of SGs,yet the mechanisms anchoring SGs to the cytoskeleton is not completely understood.It has been shown by Ort et al.(2000,2001) that the cytoplasmic tail of an intrinsic membrane protein of the SGs named ICA512/IA-2 binds the PDZ domain of b2-syntrophin,which in turn binds to the F-actin-binding protein utrophin. These data also indicate that stimulation of SG exocytosis affects the phosphorylation of b2-syntrophin,hence altering its binding to ICA512.Therefore a model was proposed whereby SGs are anchored to the actin cytoskeleton through the ICA512/b2-syntrophin complex, whose dynamics are regulated by phosphorylation.To test this model GFP-b2-syntrophin stable INS-1 cell clones were generated.GFP-b2-syntrophin expression and localization pattern were similar to those of the endogenous protein. Electron microscopy showed that in GFP-b2-syntrophin INS-1 cells the number of SGs with a pear-like shape was increased relative to control cells. Insulin content and stimulated secretion were increased in three GFP-â2-syntrophin INS-1 cell clones,compared to non-transfected INS-1 cells and INS-1 cells expressing GFP. These increments correlated with the different expression levels of GFP-b2-syntrophin in the three GFP-b2-syntrophin INS-1 cell clones. These findings support the hypothesis that b2-syntrophin regulates the trafficking and exocytosis of SGs by modulating their tethering to the actin cytoskeleton.In order to confirm the proposed model, the phosphorylation of b2-syntrophin was investigated in more detail. Similar to endogenous b2-syntrophin,GFP-b2-syntrophin underwent Ca2+-dependent and okadaic acid-sensitive dephosphorylation upon stimulation of insulin secretion. Stimulation-dependent dephosphorylation was confirmed by immunoprecipitation of 32P-labeled GFP-b2-syntrophin.Mass spectrometry of immunoprecipitated GFP-b2-syntrophin allowed the identification of four serine-phosphorylation sites (S75,S90,S213,S373) that could affect the binding to ICA512.Mutants,in which all four phosphoserines, were replaced by either asp or ala to mimic(S/D) or prevent(S/A) phosphorylation were expressed in INS-1 cells. All S/D mutants retained a cortical localization,but by immunoblotting the pattern of the S75D allele differed from wild type and all other S/D alleles.Conversely, all S/A alleles were diffused cytosolically, except S213A,which was still restricted to the cortex. Finally, pull down assays showed increased binding of ICA512 to the S75A and S90D alleles compared to wild type b2-syntrophin,while the opposite was observed with the S75D and S90A mutants.Additionally,both the S75 and the S213 allele conform a consensus for phosphorylation by Cdk5,which is known to modulate insulin secretion. The phosphorylation of GFP-b2-syntrophin and particularly the S75 allele by Cdk5 was exhibited with pharmacological inhibitors,by in vitro phosphorylation and by RNAi. Taken together, these findings are consistent with the model by which phosphorylation of b2-syntrophin modulates the tethering of SGs to the cytoskeleton, and thereby their mobility and exocytosis. Specifically, the data of this thesis suggest that Cdk5-dependent phosphorylation of the S75 site of GFP-b2-syntrophin facilitates insulin secretion by reducing the interaction of b2-syntrophin with ICA512,thereby decreasing the actin cytoskeleton constrain on SG mobility. This process could occur in combination with the phosphatase-dependent dephosphorylation of b2-syntrophin at phosphosites other than S75.
Der Transport Insulin-gefüllter sekretorische Granula(SG) ist ein streng kontrollierter komplexer Prozess.Es gibt vermehrt Beweise,dass das kortikale Actinzytoskelett die Ausschüttung der SGs beeinflusst.Bisher ist der Mechanismus der Verankerung von SGs am Zytoskelett noch nicht vollständig aufgeklärt.Ort et al.(2000,2001) haben gezeigt,daß der zytosoplasmatische Teil des trans-membranen SG-Proteins ICA512 mit der PDZ-Domäne von b2-Syntrophin interagiert.Dieses Protein bindet das F-Actin-Bindeprotein Utrophin.Die Ergebnisse zeigen außerdem,daß durch Stimulation der SG-Exozytose der Phosphorilierungsstatus von b2-Syntrophin beeinflusst wird,woraus ein verändertes Bindungsvermögen zu ICA512 resultiert.Es wurde ein Funktionsmodel vorgestellt,in dem sich SGs durch die Interaktion des ICA512/b2-Syntrophin Komplexes an das Actinzytoskelett binden.Dabei wird die Bindedynamik durch Phosphorilierung reguliert.Um dieses Model zu etablieren,wurden stabile GFP-b2-Syntrophin produzierende INS-1-Zellklone erzeugt.Die zelluläre Lokalisation und das Expressionsmuster von GFP-b2-Syntrophin stimmen mit dem des endogenen Proteins überein.Elektronenmikroskopie zeigte eine größe Anzahl oval-verformter SGs in GFP-b2-Syntrophin INS-1-Zellen im Vergleich zu Kontrollzellen.Verglichen mit nicht-transfizierten INS-1 Zellen waren in drei GFP-b2-Syntrophin INS-1-Zellklonen der Insulingehalt der Zellen und die stimulierte Insulinsekretion erhöht.Die Werte korrelierten mit den unterschiedlichen GFP-b2-Syntrophin Expressionsmengen der Klone.Diese Ergebnisse untermauern die Hypothese,daß b2-Syntrophin den Transport und die Sekretion der SGs durch Modulation ihres Bindevermögens an Actin reguliert.Um das postulierte Model genauer zu prüfen,wurde die Phosphorilierung von b2-Syntrophin detaillierter untersucht.Das GFP-Protein wurde,ähnlich dem endogenen b2-Syntrophin,durch Stimulation der Insulinausschüttung dephosphoriliert.Diese Dephosphorilierung ist Ca2+-abhängig und Okadeinsäuresensitiv.Die stimulationsabhängige Dephosphorilierung wurde durch Immunoprezipitation von 32P-markiertem GFP-b2-Syntrophin bestätigt.Massenspektrometrie des präzipitierten Proteins ermöglichte die Identifikation von vier Serin-Phosphorilierungsstellen(S75,S90,S213,S373),welche die Bindung zu ICA512 beeinflussen könnten.Mutanten,in denen die vier Phosphoserine durch Asp beziehungsweise Ala ersetzt wurden,um entweder eine Phosphorilierung(S/D) oder Dephosphorilierung(S/A) nachzuahmen,wurden in INS-1-Zellen exprimiert.Alle S/D Mutanten blieben kortikal lokalisiert.Das Expressionsmuster des S75D Allels unterschied sich jedoch von denen des Wild-Typs(wt).Im Gegensatz dazu waren alle S/A Allele zytosolisch verteilt.Eine Ausnahme bildete S213A,das an der Zellkortex lokalisiert blieb.Im Vergleich zu wt b2-Syntrophin zeigten PullDown-Assays eine erhöhte Bindung von ICA512 zu den S75A und S90D Allelen.Das Gegenteil konnte für die S75D und S90A Mutanten nachgewiesen werden.S75,S90 und S213 sind in einer Konsensussequenz für Cdk5-Phosphorilierung enthalten.Diese Kinase kann die Insulinsekretion regulieren.Die Phosphorilierung von b2-Syntrophin,insbesondere des S75 Allels durch Cdk5 wurde durch pharmakologische Inhibitoren,in vitro-Phosphorilierung und RNAi demonstriert.Zusammenfassend stimmen diese Erkenntnisse mit dem Model überein,daß die Phosphorilierung von b2-Syntrophin die Vernetzung von SGs mit Actin und dadurch deren Mobilität und Exozytose moduliert.Im Speziellen postulieren die Ergebnisse dieser Arbeit eine Cdk5-abhängige Phosphorilierung der S75 Stelle des b2-Syntrophins.Durch eine verminderte Interaktion von b2-Syntrophin und ICA512 erleichtert diese Mutante vermutlich die Insulinsekretion,da der Einfluss des Actinzytoskeletts auf die Granulamobilität vermindert ist.Dieser Prozess ereignet sich möglicherweise in Kombination mit einer Dephosphorilierung des b2-Syntrophins.in Kombination mit einer Dephosphorilierung des b2-Syntrophins.

Dieser VDI-Bericht ist ausschließlich als PDF-Dokument erschienen! Inhalt Vorwort 1 R. Schöneburg, Mercedes-Benz AG S. Müller, Technische Universität Berlin Auswirkung automatisierten Fahrens auf die Fahrzeugsicherheit Sicherheit zukünftiger hochautomatischer Fahrzeuge im Mischverkehr – Anforderungen, Lösungskonzepte und Potenzialabschätzungen 3 H. Freienstein, J. Kolatschek, G. A. D‘Addetta, Bosch Research, Vehicle Safety and Automated Driving, Robert Bosch GmbH Erkennung der kognitiven Belastung eines Fahrers anhand von Vitalparametern aus realen Fahrzeugsensoren 21 F. Ripper, K. Mahdi, Joyson Safety Systems Aschaffenburg GmbH, Berlin Injury Risk on Rearward Facing Seats in Frontal Impact – Sled Tests and Simulation in a Generic Test Environment 41 H. Zellmer, A. Soni, S. Schilling, B. Eickhoff, Autoliv B.V. & Co. KG, Elmshorn The individual safety of a car seat as a central element of autonomous driving – A comprehensive study of ATDs and human body models based...

The atmospheric chemistry of alkoxy radicals determines the first-generation oxidation products of organic compounds in the atmosphere. There are three competing fates for alkoxy radicals: reaction with molecular oxygen (O2), isomerization, and decomposition (Atkinson and Arey, 2003b; Devolder, 2003; Orlando et al., 2003b; Calvert et al., 2008). Reaction with O2 preserves the carbon chain of the parent alkane and results in the production of a carbonyl compound and HO2. Unimolecular decomposition usually results in the formation of an alkyl radical and a carbonyl compound with a shortening of the carbon chain. Unimolecular isomerization usually leads to multifunctional oxidation products (e.g., 1,4-hydroxycarbonyls and 1,4-hydroxynitrates) and a preservation of the carbon chain. These potentially competing pathways are illustrated in Figure VI-A-1 for the 2-pentoxy radical: Absolute rate coefficients for these processes have been obtained for only a few of the smaller alkoxy radicals. For example, rate coefficients have been firmly established only over a range of temperatures for reaction of a subset of the C1–C6 alkoxy radicals with O2; dissociation rate coefficients have only been directly measured for ethoxy, 2-propoxy, 2-butoxy, and tert-butoxy radicals (Balla et al., 1985; Blitz et al., 1999; Caralp et al., 1999; Devolder et al., 1999; Fittschen et al., 1999, 2000; Falgayrac et al., 2004); and no direct measurement of isomerization rates have been reported to date. A large portion of the database describing the atmospheric behavior of alkoxy radicals has been built up primarily from two sources: (1) environmental chamber experiments, where end-product distributions observed under atmospheric conditions have been used to infer relative rates of competing alkoxy radical reactions (e.g., Carter et al., 1976; Cox et al., 1981; Niki et al., 1981a; Eberhard et al., 1995; Aschmann et al., 1997; Orlando et al., 2000a; Cassanelli et al., 2006); and (2) from theoretical methodologies that lend themselves well to the study of unimolecular processes (e.g., Somnitz and Zellner, 2000a, 2000b, 2000c; Mereau et al., 2000a, 2000b; Fittschen et al., 2000; Lin and Ho, 2002; Mereau et al., 2003; Davis and Francisco, 2011). An overview of these three classes of competing alkoxy radical reactions (reaction with O2, unimolecular decomposition, and isomerization) is given in this section.

Pipelines can be exposed at water crossings where rivers lower the channel bed. Channel bed scour may cause damage to linear infrastructure such as pipelines by exposing the pipe to the flow of water and sediment. Accurate estimation of depth of scour is therefore critical in limiting damage to infrastructure. Channel bed scour has three main components: (1) general scour, (2) bed degradation, and (3) pool depth. General scour is the temporary lowering of the channel bed during a flood event. Channel bed degradation is the systematic lowering of a channel bed over time. Pool depth is depth of pools below the general bed elevation and includes the relocation of pools that result from river dynamics. Channel degradation is assessed in the field using indicators of channel incision such as channel bed armoring and bank characteristics, through the analysis of long profiles and sediment transport modelling. Pool depth is assessed using long profiles and channel movement over time. The catastrophic nature of bed lowering due to general scour requires a different assessment. A design depth of cover is based on analysis of depth of scour for a given return period (eg. 100-years). There are three main steps to predict general scour: (1) regional flood frequency analysis, (2) estimation of hydraulic variables, and (3) scour depth modelling. Typically, four scour models are employed: Lacey (1930), Blench (1969), Neill (1973), and Zeller (1981), with the average or maximum value used for design depth. We provide herein case studies for potential scour for pipeline water crossings at the Little Smoky River and Joachim Creek, AB. Using the four models above, and an analysis of channel degradation and pool depth, the recommended minimum depth of cover of 0.75 m and 0.142 m, respectively, were prescribed. Variability between scour models is large. The general scour model results varied from 0.45 m and 0.75 m for the Little Smoky River and 0.16 m to 0.51 m for Joachim Creek. While these models are more than 30 years old and do not adequately account for factors such as sediment mobility, they nevertheless do provide usable answers and should form part of the usual toolbox in water crossing scour calculations.