Log in

Relevant bibliographies by topics / Molecular subclassification / Journal articles

To see the other types of publications on this topic, follow the link: Molecular subclassification.

Journal articles on the topic 'Molecular subclassification'

Author: Grafiati

Published: 11 March 2023

Last updated: 31 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Molecular subclassification.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Tsukasaki, Kunihiro, Olivier Hermine, Ali Bazarbachi, et al. "Definition, Prognostic Factors, Treatment, and Response Criteria of Adult T-Cell Leukemia-Lymphoma: A Proposal From an International Consensus Meeting." Journal of Clinical Oncology 27, no. 3 (2009): 453–59. http://dx.doi.org/10.1200/jco.2008.18.2428.

Full text

Abstract:

Adult T-cell leukemia-lymphoma (ATL) is a distinct peripheral T-lymphocytic malignancy associated with a retrovirus designated human T-cell lymphotropic virus type I (HTLV-1). The diversity in clinical features and prognosis of patients with this disease has led to its subclassification into the following four categories: acute, lymphoma, chronic, and smoldering types. The chronic and smoldering subtypes are considered indolent and are usually managed with watchful waiting until disease progression, analogous to the management of some patients with chronic lymphoid leukemia (CLL) or other indo

APA, Harvard, Vancouver, ISO, and other styles

2

Gavrish, Yu E., A. S. Artemieva, A. A. Sidoruk, et al. "MOLECULAR SUBCLASSIFICATION OF ENDOMETRIAL CANCER: AGE ASPECTS." Профилактическая и клиническая медицина, no. 2 (2023): 41–54. http://dx.doi.org/10.47843/2074-9120_2023_2_41.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Köbel, Martin, and Eun Young Kang. "The Evolution of Ovarian Carcinoma Subclassification." Cancers 14, no. 2 (2022): 416. http://dx.doi.org/10.3390/cancers14020416.

Full text

Abstract:

The phenotypically informed histotype classification remains the mainstay of ovarian carcinoma subclassification. Histotypes of ovarian epithelial neoplasms have evolved with each edition of the WHO Classification of Female Genital Tumours. The current fifth edition (2020) lists five principal histotypes: high-grade serous carcinoma (HGSC), low-grade serous carcinoma (LGSC), mucinous carcinoma (MC), endometrioid carcinoma (EC) and clear cell carcinoma (CCC). Since histotypes arise from different cells of origin, cell lineage-specific diagnostic immunohistochemical markers and histotype-specifi

APA, Harvard, Vancouver, ISO, and other styles

4

Hytiroglou, Prodromos, Paulette Bioulac-Sage, Neil D. Theise, and Christine Sempoux. "Etiology, Pathogenesis, Diagnosis, and Practical Implications of Hepatocellular Neoplasms." Cancers 14, no. 15 (2022): 3670. http://dx.doi.org/10.3390/cancers14153670.

Full text

Abstract:

Hepatocellular carcinoma (HCC), a major global contributor of cancer death, usually arises in a background of chronic liver disease, as a result of molecular changes that deregulate important signal transduction pathways. Recent studies have shown that certain molecular changes of hepatocarcinogenesis are associated with clinicopathologic features and prognosis, suggesting that subclassification of HCC is practically useful. On the other hand, subclassification of hepatocellular adenomas (HCAs), a heterogenous group of neoplasms, has been well established on the basis of genotype–phenotype cor

APA, Harvard, Vancouver, ISO, and other styles

5

Effendi, Kathryn, Wit Thun Kwa, Akihisa Ueno, and Michiie Sakamoto. "The role of molecular pathology in the precision diagnosis and subclassification of hepatocellular carcinoma." Universa Medicina 41, no. 2 (2022): 194–206. http://dx.doi.org/10.18051/univmed.2022.v41.194-206.

Full text

Abstract:

Hepatocellular carcinoma (HCC) remains a leading cause of cancer death worldwide despite recent advances in surveillance and therapeutic management. The outcomes for HCC patients remain poor, often as a result of late diagnosis or lack of effective treatments. Early detection and precise diagnosis are evidently crucial in improving the prognosis of HCC. However, HCC is a highly heterogeneous cancer with various clinical backgrounds and altered molecular pathways; these factors make its precise diagnosis more difficult. Approximately 25% of HCCs harbor actionable mutations, which are yet to be

APA, Harvard, Vancouver, ISO, and other styles

6

Yamamoto, Hideki, Eiji Nakada, Seiji Kawano, et al. "Abstract 1767: Molecular subclassification of gastrointestinal stromal tumors by genomic backgrounds." Cancer Research 84, no. 6_Supplement (2024): 1767. http://dx.doi.org/10.1158/1538-7445.am2024-1767.

Full text

Abstract:

Abstract Gastrointestinal stromal tumors (GISTs) are the most common gastrointestinal mesenchymal tumors. While about 10% of GISTs are known to be developed from the KIT or PDGFRA gain-of-function mutations, the rest, which is the majority of GISTs, is so-called as wild-type GISTs. There are attempts to make subclassification of wild-type GISTs in syndromic or non-syndromic group as promising for understanding of heterogeneity or treatment strategy. Genomic states of succinate dehydrogenase B (SDHB) and neurofibromatosis type 1 (NF1) have been raised as candidates for subclassification of wild

APA, Harvard, Vancouver, ISO, and other styles

7

Akhtar, Mohammed, Issam A. Al-Bozom, Mohamed Ben Gashir, and Noheir M. Taha. "Intrinsic Molecular Subclassification of Urothelial Carcinoma of the Bladder." Advances In Anatomic Pathology 26, no. 4 (2019): 251–56. http://dx.doi.org/10.1097/pap.0000000000000235.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Li, Dong, Shuho Semba, Ming Wu, and Hiroshi Yokozaki. "Molecular pathological subclassification of mucinous adenocarcinoma of the colorectum." Pathology International 55, no. 12 (2005): 766–74. http://dx.doi.org/10.1111/j.1440-1827.2005.01903.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Tsuiimoto, Gozoh. "α1-adrenoceptor (α1AR) subclassification by pharmacology and molecular cloning". Japanese Journal of Pharmacology 67 (1995): 15. http://dx.doi.org/10.1016/s0021-5198(19)46039-3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Thompson, Emily F., Lynn Hoang, Anne Kathrin Höhn, et al. "Molecular subclassification of vulvar squamous cell carcinoma: reproducibility and prognostic significance of a novel surgical technique." International Journal of Gynecologic Cancer 32, no. 8 (2022): 977–85. http://dx.doi.org/10.1136/ijgc-2021-003251.

Full text

Abstract:

ObjectivesVulvar squamous cell carcinoma is subclassified into three prognostically relevant groups: (i) human papillomavirus (HPV) associated, (ii) HPV independent p53 abnormal (mutant pattern), and (iii) HPV independent p53 wild type. Immunohistochemistry for p16 and p53 serve as surrogates for HPV viral integration and TP53 mutational status. We assessed the reproducibility of the subclassification based on p16 and p53 immunohistochemistry and evaluated the prognostic significance of vulvar squamous cell carcinoma molecular subgroups in a patient cohort treated by vulvar field resection sur

APA, Harvard, Vancouver, ISO, and other styles

11

Liau, Jau-Yu, Jia-Huei Tsai, Ray-Hwang Yuan, Chih-Ning Chang, Hsin-Jung Lee, and Yung-Ming Jeng. "Morphological subclassification of intrahepatic cholangiocarcinoma: etiological, clinicopathological, and molecular features." Modern Pathology 27, no. 8 (2014): 1163–73. http://dx.doi.org/10.1038/modpathol.2013.241.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Nagasaka, Toru, Masaharu Gunji, Noboru Hosokai, et al. "FISH 1p/19q deletion/imbalance for molecular subclassification of glioblastoma." Brain Tumor Pathology 24, no. 1 (2007): 1–5. http://dx.doi.org/10.1007/s10014-006-0209-6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Huse, Jason T., Heidi S. Phillips, and Cameron W. Brennan. "Molecular subclassification of diffuse gliomas: Seeing order in the chaos." Glia 59, no. 8 (2011): 1190–99. http://dx.doi.org/10.1002/glia.21165.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Fukumoto, Kota, Sou Nakaji, Yasuhito Suehara, et al. "Endoscopic Ultrasound-Guided Fine Needle Aspiration Biopsy for Diagnosis of Intra-Abdominal Lymphoma without Accessible Peripheral Lymphadenopathy." Blood 124, no. 21 (2014): 5380. http://dx.doi.org/10.1182/blood.v124.21.5380.5380.

Full text

Abstract:

Abstract Introduction: Endoscopic ultrasound-guided fine needle aspiration biopsy (EUS-FNAB) is considered the procedure of choice for the diagnosis and staging of intra-abdominal non-Hodgkin’s lymphoma (NHL) without accessible peripheral lymphadenopathy. However, diagnosis and subclassification lymphoma by FNAB is often challenging due to variable cellularity and lack of architecture. Recent advances of ancillary techniques such as immunohistochemical staining, flowcytometry (FCM), fluorescence in situ hybridization (FISH) analysis and molecular analysis allowed classify lymphoma more precise

APA, Harvard, Vancouver, ISO, and other styles

15

Wu, Yilin, Eric Zander, Andrew Ardeleanu, Ryan Singleton, and Barnabas Bede. "An Overview of Mathematical Models for RNA Sequence-based Glioblastoma Subclassification." Artificial Intelligence in Oncology 3, no. 1 (2021): 001–7. http://dx.doi.org/10.52454/aio.v3i1.11.

Full text

Abstract:

Molecular marker-based glioblastoma (GBM) subclassification is emerging as a key factor in personalized GBM treatment planning. Multiple genetic alterations, including methylation status and mutations, have been proposed in GBM subclassification. RNA-Sequence (RNA-Seq)-based molecular profiling of GBM is widely implemented and readily quantifiable. Machine learning (ML) algorithms have been reported as an applicable method that can consistently subgroup GBM. In this study, we systematically studied the applicability of the commonly used ML algorithms based on The Cancer Genome Atlas Glioblasto

APA, Harvard, Vancouver, ISO, and other styles

16

Jin, Ming, and Paul E. Wakely Jr. "Endoscopic/Endobronchial Ultrasound-Guided Fine Needle Aspiration and Ancillary Techniques, Particularly Flow Cytometry, in Diagnosing Deep-Seated Lymphomas." Acta Cytologica 60, no. 4 (2016): 326–35. http://dx.doi.org/10.1159/000447253.

Full text

Abstract:

Evaluation of deep-seated lymphomas by fine-needle aspiration (FNA) can be challenging due to their reduced accessibility. Controversy remains as to whether FNA and ancillary techniques can be used to diagnose deep-seated lymphomas reliably and sufficiently for clinical management. Most published studies are favorable that endobronchial ultrasound (EBUS)/endoscopic ultrasound (EUS)-FNA plays an important role in the diagnosis of deep-seated lymphomas. The addition of ancillary techniques, particularly flow cytometry, increases diagnostic yield. While subclassification is possible in a reasonab

APA, Harvard, Vancouver, ISO, and other styles

17

Dalziel, H. H., and D. P. Westfall. "Receptors for adenine nucleotides and nucleosides: subclassification, distribution, and molecular characterization." Pharmacological Reviews 46, no. 4 (1994): 449–66. https://doi.org/10.1016/s0031-6997(25)06812-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Kobayashi, Yasuhito, Yoshio Tokuchi, Takehisa Hashimoto, et al. "Molecular markers for reinforcement of histological subclassification of neuroendocrine lung tumors." Cancer Science 95, no. 4 (2004): 334–41. http://dx.doi.org/10.1111/j.1349-7006.2004.tb03212.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Díaz-Martín, Juan, Michele Biscuola, Jonatan Benoit, David Marcilla, Gema Civantos, and Enrique de Álava. "What's in a name? Molecular subclassification of sarcomas creates fresh challenges." Journal of Pathology 247, no. 4 (2019): 409–12. http://dx.doi.org/10.1002/path.5206.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Kaur, Harsimar, Catherine Gereg, Rita Abi-Raad, Adebowale Adeniran, and Guoping Cai. "351 Follicular Neoplasms: Cytomorphological Subclassification, Molecular Alterations and Risk of Malignancy." Laboratory Investigation 105, no. 3 (2025): 102578. https://doi.org/10.1016/j.labinv.2024.102578.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Kelleher, Fergal C., Andrew J. Colebatch, and Aparna Rao. "New Molecular Targets in Lung Adenocarcinoma." Oncology & Hematology Review (US) 09, no. 02 (2013): 122. http://dx.doi.org/10.17925/ohr.2013.09.2.122.

Full text

Abstract:

Lung cancer is designated as either non-small-cell lung cancer (NSCLC) or small-cell lung cancer. There are three subtypes of NSCLC: adenocarcinoma (48 %), squamous cell carcinoma (28 %), and large-cell carcinoma (24 %). Epidermal growth factor receptor(EGFR)mutations, anaplastic lymphoma kinase(ALK)rearrangements, andROS1rearrangements are co-associated with lung adenocarcinoma in never-smokers. Histologically, lung adenocarcinoma is sub-divided into papillary, acinar, bronchioalveolar, and solid subtypes. A superseding molecular subclassification is emerging with important therapeutic implic

APA, Harvard, Vancouver, ISO, and other styles

22

Rossi, Maura, Maria Antonella Laginestra, Anna Gazzola, Maria Rosaria Sapienza, Stefano A. Pileri, and Pier Paolo Piccaluga. "Molecular Profiling of Aggressive Lymphomas." Advances in Hematology 2012 (2012): 1–9. http://dx.doi.org/10.1155/2012/464680.

Full text

Abstract:

In the last years, several studies of molecular profiling of aggressive lymphomas were performed. In particular, it was shown that DLBCL can be distinguished in two different entities according to GEP. Specifically, ABC and GCB subtypes were characterized by having different pathogenetic and clinical features. In addition, it was demonstrated that DLBCLs are distinct from BL. Indeed, the latter is a unique molecular entity. However, relevant pathological differences emerged among the clinical subtypes. More recently, microRNA profiling provided further information concerning BL-DLBCL distincti

APA, Harvard, Vancouver, ISO, and other styles

23

Barroca, Helena, and Cristina Marques. "A Basic Approach to Lymph Node and Flow Cytometry Fine-Needle Cytology." Acta Cytologica 60, no. 4 (2016): 284–301. http://dx.doi.org/10.1159/000448679.

Full text

Abstract:

According to the World Health Organization (WHO), the new classification of lymphomas is mainly based on morphological, immunophenotypical, and molecular criteria. Consequently, this new approach has led from the substantial role that architecture played in the past to a secondary panel highlighting the role of fine-needle biopsy (FNB). Applied together with other ancillary techniques, such as flow cytometry (FC), FNB is a potential tool for the diagnosis of lymphomas, and enlarged lymph nodes represent an excellent target for the implementation of this technique. Despite the difficulties inhe

APA, Harvard, Vancouver, ISO, and other styles

24

Nakada, M., W. Obuchi, S. Ohtsuki, et al. "CS-25 * MOLECULAR SUBCLASSIFICATION OF GLIOBLASTOMA BASED ON THE ABSOLUTE QUANTITATIVE PROTEOMICS." Neuro-Oncology 16, suppl 5 (2014): v56. http://dx.doi.org/10.1093/neuonc/nou242.25.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Kaur, Kavneet, Aanchal Kakkar, Anupam Kumar, et al. "Integrating Molecular Subclassification of Medulloblastomas into Routine Clinical Practice: A Simplified Approach." Brain Pathology 26, no. 3 (2015): 334–43. http://dx.doi.org/10.1111/bpa.12293.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Takahashi, Masayuki, Ximing J. Yang, Jun Sugimura, et al. "Molecular subclassification of kidney tumors and the discovery of new diagnostic markers." Oncogene 22, no. 43 (2003): 6810–18. http://dx.doi.org/10.1038/sj.onc.1206869.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Amador, Catalina, Timothy C. Greiner, Tayla B. Heavican, et al. "Reproducing the molecular subclassification of peripheral T-cell lymphoma–NOS by immunohistochemistry." Blood 134, no. 24 (2019): 2159–70. http://dx.doi.org/10.1182/blood.2019000779.

Full text

Abstract:

One-third of peripheral T-cell lymphomas are “not otherwise specified” (PTCL-NOS), but they have been subdivided into 2 subgroups based on gene expression profiling. Amador and colleagues generated an immunohistochemical algorithm that parallels the molecular separation of PTCL-NOS and provides useful prognostic information.

APA, Harvard, Vancouver, ISO, and other styles

28

Kristensen, Vessela N. "Divide and conquer: the genetic basis of molecular subclassification of breast cancer." EMBO Molecular Medicine 3, no. 4 (2011): 183–85. http://dx.doi.org/10.1002/emmm.201100128.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Horn, Lars-Christian, Christine E. Brambs, Blake Gilks, et al. "Molecular Subtypes of Vulvar Squamous Cell Carcinoma: The Significance of HPV-Independent/p53 Wild Type." Cancers 16, no. 24 (2024): 4216. https://doi.org/10.3390/cancers16244216.

Full text

Abstract:

Vulvar carcinoma is a rare disease, meeting the criteria for a “rare cancer”, but its incidence is increasing, especially in women <60 years of age. Squamous cell carcinoma (VSCC) accounts for the overwhelming majority of vulvar carcinomas and is the focus of this review. As with many cancers, the increased understanding of molecular events during tumorigenesis has led to the emergence of the molecular subclassification of VSCC, which is subclassified into tumors that arise secondary to high-risk human papillomavirus infection (HPV-associated, or HPVa) and those that arise independently of

APA, Harvard, Vancouver, ISO, and other styles

30

HAMILTON, C. A. "Imidazoline Receptors, Subclassification, and Drug-Induced Regulation." Annals of the New York Academy of Sciences 763, no. 1 The Imidazoli (1995): 57–65. http://dx.doi.org/10.1111/j.1749-6632.1995.tb32390.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

MANNHOLD, R., and R. BAYER. "Biochemical subclassification of Ca antagonists-correlation with functionalproperties." Journal of Molecular and Cellular Cardiology 19 (1987): S56. http://dx.doi.org/10.1016/s0022-2828(87)80174-8.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Hieble, J. Paul. "Adrenoceptor subclassification: an approach to improved cardiovascular therapeutics." Pharmaceutica Acta Helvetiae 74, no. 2-3 (2000): 163–71. http://dx.doi.org/10.1016/s0031-6865(99)00030-8.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Hirani, Samina, Aswani Thurlapati, Shahzeem Bhayani, Adam Greer, and Glenn Mills. "PATH-43. TARGETED GENOMIC ANALYSIS OF PRIMARY ADULT BRAIN TUMORS: A SINGLE INSTITUTIONAL EXPERIENCE OF 26 CASES." Neuro-Oncology 22, Supplement_2 (2020): ii173—ii174. http://dx.doi.org/10.1093/neuonc/noaa215.723.

Full text

Abstract:

Abstract BACKGROUND In the United States, primary brain tumors comprise 2% of all cancers with an alarming 5-year survival rate of 35% [1,2]. To aid histopathological diagnosis, genomic profiling of tumors using next generation sequencing (NGS) has allowed more accurate molecular subclassification of tumors and identification of novel, subtype specific therapies in management [3]. We present single institutional data of molecular gene profiles in patients with adult primary brain tumors. Understanding the genetic landscape of these tumors will help determine molecular targets for currently ava

APA, Harvard, Vancouver, ISO, and other styles

34

Zhu, J., L. Wu, Y. Zhou, et al. "POS0833 A RETROSPECTIVE COHORT STUDY IN CHINESE PATIENTS WITH ADULT POLYMYOSITIS AND DERMATOMYOSITIS: RISK OF COMORBIDITIES AND SUBCLASSIFICATION USING MACHINE LEARNING." Annals of the Rheumatic Diseases 80, Suppl 1 (2021): 670.1–670. http://dx.doi.org/10.1136/annrheumdis-2021-eular.590.

Full text

Abstract:

Background:Idiopathic inflammatory myopathy (IIM), also known as myositis, refers to a group of heterogeneous disorders including polymyositis (PM), dermatomyositis (DM), inclusion body myositis and immune-mediated necrotising myopathy. Phenotype, pathogenesis, and prognosis vary due to multi-organ involvement and comorbidities. With the clinical application of MSAs, a new classification system for myositis was explored to reduce confusion between subgroups. But it is far from showing the full picture of myositis due to high heterogeneity. Therefore, it is necessary to systematically evaluate

APA, Harvard, Vancouver, ISO, and other styles

35

Chan, CY, AWI Lo, KO Lam, et al. "Abstract 5266: Prognostic role of molecular subclassification based on mutational profiling and tumor-associated neutrophil status in stage III colon cancer." Cancer Research 82, no. 12_Supplement (2022): 5266. http://dx.doi.org/10.1158/1538-7445.am2022-5266.

Full text

Abstract:

Abstract The traditional prognostic prediction of colon cancer (CC) is based on the tumor-node-metastasis (TNM) system. This, however, is not adequate for clinical decision making due to the existence of inter-patient variations and heterogeneity of underlying molecular pathways. We aim to investigate the prognostic value of molecular subclassification utilizing i) tumor-associated neutrophil (TAN) status by immunohistochemical (IHC) staining; ii) microsatellite instability (MSI) and elevated microsatellite alteration at selected tetranucleotide repeats (EMAST) status by PCR-based microsatelli

APA, Harvard, Vancouver, ISO, and other styles

36

Li, Chenghao, Zhuo Zheng, and Meishan Jin. "The Significance of Lysosome in the Diagnosis and Subclassification of Alzheimer’s Disease." Science of Advanced Materials 15, no. 2 (2023): 233–42. http://dx.doi.org/10.1166/sam.2023.4441.

Full text

Abstract:

Lysosomes are the main degradation organelles in eukaryotic cells, and their dysfunction is closely related to Alzheimer’s disease (AD). Our goal is to identify the lysosomal molecular subtype of AD and explore the mechanisms. By differential analysis, 50 differentially expressed lysosomal genes in AD were identified. R-package “ROCR” was used to calculate ROC curves and AUC values for lysosomal genes. “ConsensusClusterPlus” was used for consistent clustering of the AD data set. The contents of 28 kinds of immune cells in AD samples were calculated using the R-package “GSVA”. The R package “li

APA, Harvard, Vancouver, ISO, and other styles

37

Dijkhuizen, Trijnie, Eva van den Berg, Willemina M. Molenaar, et al. "Cytogenetics as a tool in the histologic subclassification of chondrosarcomas." Cancer Genetics and Cytogenetics 76, no. 2 (1994): 100–105. http://dx.doi.org/10.1016/0165-4608(94)90457-x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Alaña, Lide, Idoia Martin-Guerrero, Aurora Navajas, et al. "MEDB-65. Molecular subclassification of a national cohort of pediatric medulloblastoma based on methylation profile." Neuro-Oncology 24, Supplement_1 (2022): i121. http://dx.doi.org/10.1093/neuonc/noac079.439.

Full text

Abstract:

Abstract INTRODUCTION: Pediatric Medulloblastoma (MB) accounts for approximately 20% of all childhood brain tumors. Molecular subgroups namely WNT, SHH, Group 3 and Group 4, exhibit divergent biology, and clinical outcomes. DNA methylation analysis is a robust option to classify pediatric MB into molecular subgroups, which allows the optimization of diagnosis and stratification of the treatment. We review the first experience of molecular subclassification carried out at the national level in our country. METHODS: Multi-center centralized prospective and retrospective study of frozen tumor sam

APA, Harvard, Vancouver, ISO, and other styles

39

Zhang, Xiaohui, Prerna Rastogi, Bijal Shah, and Ling Zhang. "B lymphoblastic leukemia/lymphoma: new insights into genetics, molecular aberrations, subclassification and targeted therapy." Oncotarget 8, no. 39 (2017): 66728–41. http://dx.doi.org/10.18632/oncotarget.19271.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Jain, Rajan, Laila Poisson, Jayant Narang, et al. "Genomic Mapping and Survival Prediction in Glioblastoma: Molecular Subclassification Strengthened by Hemodynamic Imaging Biomarkers." Radiology 267, no. 1 (2013): 212–20. http://dx.doi.org/10.1148/radiol.12120846.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Linge, A., B. Tawk, S. Löck, et al. "OC-0390 TCGA molecular subclassification is prognostic for LRC of HNSCC after postoperative RCTx." Radiotherapy and Oncology 133 (April 2019): S196. http://dx.doi.org/10.1016/s0167-8140(19)30810-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Cammer, Stephen A., Brian T. Hoffman, Jeffrey A. Speir, et al. "Structure-based Active Site Profiles for Genome Analysis and Functional Family Subclassification." Journal of Molecular Biology 334, no. 3 (2003): 387–401. http://dx.doi.org/10.1016/j.jmb.2003.09.062.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Lan, Hao, Jinyi Zhao, Linxi Yuan, Menglong Li, Xuemei Pu, and Yanzhi Guo. "Deep Clustering-Based Immunotherapy Prediction for Gastric Cancer mRNA Vaccine Development." International Journal of Molecular Sciences 26, no. 6 (2025): 2453. https://doi.org/10.3390/ijms26062453.

Full text

Abstract:

Immunotherapy is becoming a promising strategy for treating diverse cancers. However, it benefits only a selected group of gastric cancer (GC) patients since they have highly heterogeneous immunosuppressive microenvironments. Thus, a more sophisticated immunological subclassification and characterization of GC patients is of great practical significance for mRNA vaccine therapy. This study aimed to find a new immunological subclassification for GC and further identify specific tumor antigens for mRNA vaccine development. First, deep autoencoder (AE)-based clustering was utilized to construct t

APA, Harvard, Vancouver, ISO, and other styles

44

Jaffe, Elaine S., Paul M. Barr, and Sonali M. Smith. "Understanding the New WHO Classification of Lymphoid Malignancies: Why It's Important and How It Will Affect Practice." American Society of Clinical Oncology Educational Book, no. 37 (May 2017): 535–46. http://dx.doi.org/10.1200/edbk_175437.

Full text

Abstract:

Improved delineation of lymphoid malignancy biology has prompted refinement of the 2008 World Health Organization (WHO) classification of hematopoietic and lymphoid tumors with a new framework introduced in 2016. This knowledge has provided valuable insights regarding management. Early clonal proliferations have been set apart given their limited potential for malignant dissemination. Increasing knowledge of molecular drivers of aggressive lymphomas has allowed subclassification and opportunity for clinical investigations to personalize therapy. New insights into T-cell pathophysiology has all

APA, Harvard, Vancouver, ISO, and other styles

45

Shah, Harsh R., Arjun Gramopadhye, Sierra Sky Nishizaki, et al. "Molecular Subtyping of DLBCL Patients from the Oncology Research Information Exchange Network." Blood 144, Supplement 1 (2024): 6199. https://doi.org/10.1182/blood-2024-204481.

Full text

Abstract:

Background: Simplified LymphPlex algorithm recently described molecular subclassification of DLBCL based on mutations of 35 genes and rearrangements of BCL2, BCL6, and MYC. Seven distinct genetic subtypes are included: TP53Mut, MCD-like (co-occurrence of MYD88L265P and CD79Mut), BN2-like (BCL6 fusions and NOTCH2Mut), N1-like (NOTCH1Mut), EZB-like with or without MYC rearrangement (EZH2, other chromatin modifier mutations and BCL2 fusions), and ST2-like (SGK1Mut and TET2Mut), with ~50% of patients (pts) assigned a molecular subtype (Shen et al, Nature 2023). Each group has potential therapeutic

APA, Harvard, Vancouver, ISO, and other styles

46

Alrasheed, Rana, Ali Alsawadi, Abdulmajeed Alzahrani, et al. "Central nervous system embryonal tumor with BRD4-LEUTX gene fusion: A rare case." International Journal of Health Sciences 19 (July 1, 2025): 62–67. https://doi.org/10.25259/ojs_8856.

Full text

Abstract:

The World Health Organization classification of embryonal central nervous system (CNS) tumors continues to evolve, with molecular profiling enhancing diagnostic accuracy, prognosis, and treatment strategies. The BRD4-LEUTX gene fusion is a rare genetic alteration identified in a small subset of embryonal CNS tumors, though its oncogenic role remains poorly understood. We present a case of a 2-year-old girl who presented with a large intraventricular mass, diagnosed as an embryonal CNS tumor with BRD4-LEUTX fusion following histopathological, immunohistochemical, and molecular analyses. Despite

APA, Harvard, Vancouver, ISO, and other styles

47

Conroy, Siobhan, Frank A. E. Kruyt, Justin V. Joseph, et al. "Subclassification of Newly Diagnosed Glioblastomas through an Immunohistochemical Approach." PLoS ONE 9, no. 12 (2014): e115687. http://dx.doi.org/10.1371/journal.pone.0115687.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Mohammed, Mazin. "Enhanced Cancer Subclassification Using Multi-Omics Clustering and Quantum Cat Swarm Optimization." Iraqi Journal For Computer Science and Mathematics 5, no. 3 (2024): 552–82. http://dx.doi.org/10.52866/ijcsm.2024.05.03.035.

Full text

Abstract:

Integrating multiple omics data can significantly improve the accuracy of cancer subclassification, achallenging task due to the high dimensionality and limited sample sizes. The integration of these data sets canenhance model performance. This study addresses these challenges by employing Quantum Cat SwarmOptimization (QCSO) for feature selection, along with K-means clustering and Support Vector Machine (SVM) forclassification. Using QCSO, the most significant features were identified, resulting in an increase in accuracy from81% to 100%. Performance was evaluated using accuracy, F1-score, pr

APA, Harvard, Vancouver, ISO, and other styles

49

Sean, Brown, Hall Caitlin, Galliera Raffaele, and Bagui Sikha. "Object Detection and Ship Classification Using YOLOv5." BOHR International Journal of Computer Science 1, no. 1 (2021): 124–33. http://dx.doi.org/10.54646/bijcs.017.

Full text

Abstract:

Using a public dataset of images of maritime vessels provided by Analytics Vidhya, manual annotations were made on a subsample of images with Roboflow using the ground truth classifications provided by the dataset. YOLOv5, a prominent open source family of object detection models that comes with an out-of-the-box pre-training on the Common Objects in Context (COCO) dataset, was used to train on annotations of subclassifications of maritime vessels. YOLOv5 provides significant results in detecting a boat. The training, validation, and test set of images trained YOLOv5 in the cloud using Google

APA, Harvard, Vancouver, ISO, and other styles

50

Bylund, David B., John W. Regan, James E. Faber, J. Paul Hieble, Christopher R. Triggle та Robert R. Ruffolo Jr. "Vascular α-adrenoceptors: from the gene to the human". Canadian Journal of Physiology and Pharmacology 73, № 5 (1995): 533–43. http://dx.doi.org/10.1139/y95-068.

Full text

Abstract:

Adrenoceptors can be subdivided into three major types, the α1-, α2-, and β-adrenoceptors. Each of these types can be further subdivided into three subtypes, based on pharmacological characteristics. Molecular cloning techniques have supported this subclassification. Recent data now suggest that α-adrenoceptor subtypes identified by pharmacological and molecular techniques correspond well, although species orthologs of several adrenoceptor subtypes have been identified. The secondary structure of the adrenoceptors has been elucidated and correlated with their interaction with second messenger

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!