Academic literature on the topic 'University of Virginia. Cancer Center'

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Journal articles on the topic "University of Virginia. Cancer Center"

1

Wang, Aobo, and David C. Wheeler. "Catchment Area Analysis Using Bayesian Regression Modeling." Cancer Informatics 14s2 (January 2015): CIN.S17297. http://dx.doi.org/10.4137/cin.s17297.

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A catchment area (CA) is the geographic area and population from which a cancer center draws patients. Defining a CA allows a cancer center to describe its primary patient population and assess how well it meets the needs of cancer patients within the CA. A CA definition is required for cancer centers applying for National Cancer Institute (NCI)-designated cancer center status. In this research, we constructed both diagnosis and diagnosis/treatment CAs for the Massey Cancer Center (MCC) at Virginia Commonwealth University. We constructed diagnosis CAs for all cancers based on Virginia state cancer registry data and Bayesian hierarchical logistic regression models. We constructed a diagnosis/treatment CA using billing data from MCC and a Bayesian hierarchical Poisson regression model. To define CAs, we used exceedance probabilities for county random effects to assess unusual spatial clustering of patients diagnosed or treated at MCC after adjusting for important demographic covariates. We used the MCC CAs to compare patient characteristics inside and outside the CAs. Among cancer patients living within the MCC CA, patients diagnosed at MCC were more likely to be minority, female, uninsured, or on Medicaid.
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2

Loughran, Thomas P., Wendy Cohn, Gloribel Bonilla, and Roger T. Anderson. "Cancer Prevention from the Viewpoint of UVA Comprehensive Cancer Center." Cancer Prevention Research 15, no. 11 (2022): 715–20. http://dx.doi.org/10.1158/1940-6207.capr-22-0365.

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Abstract Prevention is a cornerstone of the guiding mission of the University of Virginia Comprehensive Cancer Center, which is “to reduce the burden of cancer for the patients of today, through skilled, integrated, and compassionate care and to eliminate the threat of cancer for the patients of tomorrow, through research and education in an environment that promotes diversity, equity, and inclusion.” We find it useful to conceptualize different opportunities for cancer prevention using NCI's Health Behaviors Research Branch's multilevel translational framework. The latter considers three intersecting continuums: cancer control—from prevention through survivorship; translation—from basic sciences to dissemination and implementation; and level of influence or impact—from genetics to policy. An advantage of this heuristic is that “prevention” is inherently defined as an inter-programmatic concept cutting across basic, clinical, and population science research rather than solely as a programmatic domain of Population Sciences. Through the UVA community outreach and engagement, we apply this multilevel framework to mitigate the social determinants of cancer risk and outcomes that drive cancer inequities in our catchment area. Below, we provide examples of our prevention research and translation along the model continuums and focus on equity.
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3

Arays, Ruta, Zeeshan Ahmad, Lorinda Howard, et al. "Review of Palliative 223Ra in Metastatic Castration-Resistant Prostate Cancer: Experience at West Virginia University Cancer Center." Journal of Nuclear Medicine Technology 49, no. 1 (2020): 70–74. http://dx.doi.org/10.2967/jnmt.120.254474.

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4

Alder, Laura, Harry Douglas Bear, and Mary Helen Hackney. "Racial disparities in utilization of gene expression testing in breast cancer patients at an academic medical center." Journal of Clinical Oncology 37, no. 27_suppl (2019): 142. http://dx.doi.org/10.1200/jco.2019.37.27_suppl.142.

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142 Background: Gene expression profiling of breast cancers, such as the OncotypeDx (ODX) test, PAM 50 and Mammaprint, can define the risk of distant recurrence and assist with decisions about adjuvant chemotherapy. A recent study of all breast cancer patients in Virginia found that only 11.7 % of Caucasian Americans (CA) and 5.1% of African Americans (AA) received genomic testing. Methods: We utilized the Virginia Commonwealth University Health System (VCUHS) Tumor Registry and billing data from 2010-2017 to identify all patients that met the following criteria per NCCN guidelines for genomic testing: early stage (stage I or II) breast cancer, estrogen and/or progesterone receptor positive and lymph node-negative breast cancer. We also obtained records from Genomic Health on ODX testing ordered through VCU Health. Additionally, ODX utilization was stratified by race. We then performed Chi Square analysis. Results: 1080 patients were eligible per NCCN Guidelines. Of these, 248 were eliminated due to having only radiation performed at VCU. 39 were eliminated because initial treatments were at outside hospitals. Of the remaining 793, 536 were CA, 232 AA, 9 Asian and 16 other. Among the patients for whom a genomic test was appropriate, the proportion who actually had such a test performed were: 83.4% for CA, 71.98% for AA, 55.56% for Asians, 81.25 % for Others and 79.7% overall. There was a significant difference between utilization in CAs and AAs (p < 0.001). Conclusions: Breast cancer patients at VCU Health are far more likely to receive gene expression profiling overall compared to the Commonwealth of VA as a whole. This may reflect more equitable and guideline-compliant care in an academic/safety net health system.
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Cobb, Dustin, Jacopo de Rossi, Lixia Liu, Erin An, and Daniel Lee. "127 CAR T cells targeting the integrin alpha v beta 3 exhibit robust anti-tumor responses against diffuse intrinsic pontine glioma and glioblastoma." Journal for ImmunoTherapy of Cancer 9, Suppl 2 (2021): A136. http://dx.doi.org/10.1136/jitc-2021-sitc2021.127.

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BackgroundDiffuse intrinsic pontine glioma (DIPG) and glioblastoma (GBM) are two highly aggressive and mostly incurable gliomas with little therapeutic advancements made in the past several decades. Despite immense initial success of chimeric antigen receptor (CAR) T cells for the treatment of leukemia and lymphoma, significant headway into the application of CAR T cells against solid tumors, including gliomas, is still forthcoming. The integrin complex alpha v beta 3 (avb3) is present on multiple and diverse solid tumor types and tumor vasculature with limited expression throughout most normal tissues, qualifying it as an appealing target for CAR T cell-mediated immunotherapy.MethodsPatient-derived diffuse intrinsic pontine glioma (DIPG) cells and glioblastoma (GBM) cell lines were evaluated by flow cytometry for surface expression of avb3. Second-generation CAR T cells expressing an anti-avb3 scFv were generated by retroviral transduction containing either a CD28 or 4-1BB co-stimulatory domain and CD3zeta. CAR T cells were evaluated by flow cytometry for CAR expression, memory phenotype distribution, and inhibitory receptor profile. DIPG and GBM cell lines were orthotopically implanted into NSG mice via stereotactic injection and monitored with bioluminescent imaging to evaluate avb3 CAR T cell-mediated anti-tumor responses.ResultsWe found that patient-derived DIPG cells and GBM cell lines express high levels of surface avb3 by flow cytometry, while avb3 is minimally expressed on normal tissues by RNA sequencing and protein microarray. Second-generation CAR T cells expressing an anti-avb3 single-chain variable fragment (scFv) were designed and generated by retroviral transduction containing either a CD28 or 4-1BB co-stimulatory domain and CD3zeta. avb3 CAR T cells demonstrated efficient, antigen-specific tumor cell killing in both cytotoxicity assays and in in vivo models of orthotopically and stereotactically implanted DIPG and GBM tumors into relevant locations in the brain of NSG mice. Tumor responses were rapid and robust with systemic CAR T cell proliferation and long-lived persistence associated with long-term survival.ConclusionsThese results highlight the potential of avb3 CAR T cells for immunotherapeutic treatment of deadly brain tumors with reduced risk of on-target, off-tumor mediated toxicity due to the restricted nature of avb3 expression in normal tissues.AcknowledgementsWe would like to acknowledge the following core facilities at the University of Virginia: The Research Histology Core, the Biorepository and Tissue Research Facility, and the Molecular Imaging Core which are supported by the University of Virginia School of Medicine and through the University of Virginia Cancer Center National Cancer Institute P30 Center Grant. We would also like to acknowledge the University of Virginia Center for Comparative Medicine for providing animal care and services.
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6

Khimani, Farhad, Brendan F. Curley, and Mohammed Almubarak. "Survey Of Patients Referred To a University Cancer Center For Benign Hematology: Quality Measures and Patient Understanding." Blood 122, no. 21 (2013): 2952. http://dx.doi.org/10.1182/blood.v122.21.2952.2952.

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Abstract Background Traditionally, benign blood disorders are being evaluated and managed by hematologists who are also trained in oncology. Many of these physicians have their clinics located in Cancer Centers. Based on our clinical observations, the term “Cancer Center” is misleading to many benign hematology patients and it may affect their perception of their disease and/or reason for referral. There are currently no studies investigating patient understanding of benign hematology, the impact of a referral to a cancer center on a patients' well being or their understanding of a referral- therefore we designed this survey to explore those issues. Methods At West Virginia University/Mary Babb Randolph Cancer Center we drafted a survey. This IRB approved, anonymous and voluntary survey included twenty-eight questions that abstracted patient data that included: age, gender, race, level of education, understanding of reason for referral, knowledge of basic training aspects of hematologists, and multiple questions on stress and the impact of emotional well-being of a referral to the cancer center. Multiple-choice questions were drafted with 4-6 answer choices with no option for unknown. Surveys were collected from exclusively new patient benign hematology visits from May 2013-July 2013. Patients were surveyed at outpatient appointments after a verbal consent was obtained prior to their first contact with a hematologist. Results A total of 55 patients consented and received the questionnaire. Of the 55 questionnaires, 4 were incomplete and thus were excluded. 41.2% (21) responders were males, 58.8% (30) were females, 76.4% (39) were >40 yrs, 98% (50) were Caucasian, and 56.8% (29) had at least some college education or above. 60.7% (31) of patients surveyed stated that they were surprised when they found that their appointment was at the Cancer Center and 39.2% (20) stated that they received no explanation as to why they were referred to the cancer center prior to the visit. 70.5% (36) of patients did not know what benign hematology was and only 54.9% (28) patients knew that cancer doctors are also frequently trained to see benign hematology patients. 49% (25) of patients stated that their primary care physician's office did not explain that their referral to the cancer center was for a benign hematologic problem. 45% (23) and 41.1% (21) of patients expressed an increase in their anxiety and stress levels, respectively, when they found out their referral was to a Cancer Center. 27.4% (14) of patients said they were afraid they might have cancer during the process of referral and 37.3% (19) actually thought that the reason for their referral to the Cancer Center was an evaluation for cancer. Only 11.7% (6) patients expressed that they would prefer to be referred at a benign hematology clinic that is not located in a Cancer Center. Conclusion Referral to Cancer Center for benign hematologic diseases appears to increase stress and anxiety of patients and patients may perceive that they are referred for evaluation of a cancer diagnosis. Careful explanation by the entire team including referring physicians, hematologists, and office staff as to the reason for evaluation of a benign hematologic disorder may decrease stress and increase understanding of this subset of patients. Disclosures: No relevant conflicts of interest to declare.
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7

Wiseman, Kara P., Lindsay Hauser, Connie Clark, et al. "An Evaluation of the Process and Quality Improvement Measures of the University of Virginia Cancer Center Tobacco Treatment Program." International Journal of Environmental Research and Public Health 17, no. 13 (2020): 4707. http://dx.doi.org/10.3390/ijerph17134707.

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Tobacco use after a cancer diagnosis can increase risk of disease recurrence, increase the likelihood of a second primary cancer, and negatively impact treatment efficacy. The implementation of system-wide comprehensive tobacco cessation in the oncology setting has historically been low, with over half of cancer clinicians reporting that they do not treat or provide a referral to cessation resources. This quality improvement study evaluated the procedures for assessing and documenting tobacco use among cancer survivors and referring current smokers to cessation resources at the University of Virginia Cancer Center. Process mapping revealed 20 gaps across two major domains: electronic health record (EHR), and personnel barriers. The top identified priority was inconsistent documentation of tobacco use status as it impacted several downstream gaps. Eleven of the 20 gaps were deemed a high priority, and all were addressed during the implementation of the resulting Tobacco Treatment Program. Prioritized gaps were addressed using a combination of provider training, modifications to clinical workflow, and EHR modifications. Since implementation of solutions, the number of unique survivors receiving cessation treatment has increased from 284 survivors receiving cessation support during Year 1 of the initiative to 487 in Year 3. The resulting Tobacco Treatment Program provides a systematic, personalized, and sustainable comprehensive cessation program that optimizes the multifaceted workflow of the Cancer Center and has the potential to reduce tobacco use in a population most in need of cessation support.
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8

Tossas, Katherine Y., Bianca D. Owens, Savannah Reitzel, et al. "The Chickahominy T.R.U.T.H. (Trust, Research, Understand, Teach, and Heal) Project—A Tribal Community–Academic Partnership for Understanding the Impact of Structural Factors on Perceived Cancer Risk in Rural Virginia." International Journal of Environmental Research and Public Health 21, no. 3 (2024): 262. http://dx.doi.org/10.3390/ijerph21030262.

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In 2022, the Virginia Chickahominy Indian Tribe partnered with Virginia Commonwealth University Massey Comprehensive Cancer Center to investigate concerns about a potential cancer cluster near a local landfill. While investigating cancer clusters is complex due to long latency and multifactorial causes, the community’s concerns about structural factors driving cancer risk warrant exploration. Thus, the Chickahominy T.R.U.T.H. (Trust, Research, Understand, Teach, and Heal) Project was created as a community–academic partnership to (1) identify structural factors and barriers associated with perceived cancer risk and care; (2) assess cancer knowledge, care access gaps, and perceived risks, including testing private and community water sources; (3) develop and deploy culturally tailored cancer education and resource navigation, including groundwater safety education, policies, and remediation. We will conduct 150 in-person interviews and water tests among residents within a four-mile radius of the landfill, and deploy 1000 structured questionnaires among Charles City County residents. In this paper, we provide an overview of the ongoing project design, development, and progress in support of the project’s objectives. This collaborative investigation aims to address cancer health disparities, enhance research and health policy advocacy, and honor the sacred knowledge of an underserved community, laying the groundwork for a long-term partnership to guide future research questions.
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9

Yu, Stephen Lee, Seth Holler, Sijin Wen, Xiaofei Wang, and Thomas F. Hogan. "Lutetium-177–PSMA-617 experience in Appalachian patients with advanced prostate cancer at West Virginia University Health Science Center." Journal of Clinical Oncology 42, no. 16_suppl (2024): e17045-e17045. http://dx.doi.org/10.1200/jco.2024.42.16_suppl.e17045.

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e17045 Background: Lutetium Lu-177 vipivotide tetraxetan (Lu-177) allowed for improved biochemical and radiographic response rate with relatively low toxicity for metastatic castration-resistant prostate cancer (PC) after multiple lines of therapy. In the 2021 VISION study (DOI: 10.1056/NEJMoa2107322), Lu-177 was reported to have a median overall survival (OS) of 15.3 months in patients (pts) with advanced prostate cancer (PC). We reviewed the result with Lu-177 for the treatment of advanced PC at a rural tertiary academic center at West Virginia University Health Science Center (WVU-HSC). Methods: All PC pts receiving one or more doses of Lu-177 at WVU-HSC were retrospectively reviewed. Pts were followed until death or the last clinic visit. All pts were established patients at WVU-HSC for management of the advanced PC between July 2022 and February 2024. Data was tabulated with descriptive statistics and median survival was calculated from Kaplan-Meier method. Results: Over an eighteen months period 34 pts received 126 doses of Lu-177. 26 pts were referred from outside the WVU-HSC specifically for Lu-177. Demographics from data collection showed predominantly Caucasian pts (91% Caucasian). The time from the initial PC diagnosis to the first dose of Lu-177 was a median of 67 months (range: 10 months-367 months). The median age at the first dose of Lu-177 was 65 years (range: 45-80). 18 patients (53%) remain alive as of Feb 2024. 14 pts (41%) completed 6 cycles of Lu-177 and 11 pts (32%) remain alive. The Kaplan-Meier median OS for these 34 pts starting from the first cycle of Lu-177 was 10 months. Conclusions: A 2022 estimated cost for Lu-177 was $42,500 per dose (excludes administration) so “payors” may have been charged more than $5,000,000 for the Lu-177 for these patients. Lu-177 may be of more benefit earlier in the PC disease spectrum, or perhaps pre-treatment PSMA imaging can better target patients who will benefit from Lu-177. Our observed median OS of 10 months did not match the 15.3 reported in the VISION study (DOI: 10.1056/NEJMoa2107322). Further data evaluation and collection are warranted from different communities to investigate the differences observed in the survival data reported in the literature and observed in the clinic setting. [Table: see text]
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Ali, Shamsher, Mark W. Knestrick, Lori Aciavatti, Sijin Wen, and Nilay Arvind Shah. "A survey on social media use and expectations in cancer patients." Journal of Clinical Oncology 35, no. 15_suppl (2017): e18183-e18183. http://dx.doi.org/10.1200/jco.2017.35.15_suppl.e18183.

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e18183 Background: Social media encompasses a wide variety of web based and mobile technologies. It has become increasingly popular, allowing for rapid communication and dissemination of information. Many believe that social media can be used as a platform for patient education and knowledge sharing. This survey intended to assess patient use of social media and patient expectations for its role at our cancer center. Methods: The study took place at West Virginia University (WVU) Hospital/Mary Babb Randolph Cancer Center, a tertiary care center. This IRB-approved, anonymous, and voluntary survey included twenty-five questions that abstracted patient data which included: age, gender, cancer type, level of education, internet use, information sources for given cancer, use of social media, and the use of WVU cancer website and social media. The survey was distributed by nursing staff to patients who were at least 18 years of age Results: 370 surveys were collected in total. 87.6 % of patients reported using social media, with Facebook as the most commonly used platform at 85.6 %. 70% reported to view or update social media sites daily. All patients reported at least monthly internet use with 61.1 % of patients reported using the internet daily. 32.7% of patients interact with WVU Cancer Centeron social media daily. When asked how patients search for background information or reviews about their provider, 57.8% of patients reported they used our institution’s website. 55.7% of patients believe it would beneficial to contact their cancer provider through social media. Only 22% of patients reported they use social media for medical information. Conclusions: With the increasing use of social media for medical information over the past several years, it is crucial for academic centers and providers to keep up with the growing demand to provide accurate and practical information for patients. Our data suggests our patient population would like to see an increased use of social media from the cancer center and its providers. The information can be used to update our cancer website and social media sites to provide patient-centered cancer information in hopes that patients will have one reliable source for all of their disease related questions and concerns.
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