Molecular Classification of Gastric Adenocarcinoma: Translating New Insights from The Cancer Genome Atlas Research Network

2015 ◽  
Vol 16 (4) ◽  
Author(s):  
Yu Sunakawa ◽  
Heinz-Josef Lenz
Keyword(s):  
Gastric Adenocarcinoma ◽  
Molecular Classification ◽  
Cancer Genome ◽  
The Cancer Genome Atlas ◽  
Research Network ◽  
Cancer Genome Atlas ◽  
Genome Atlas

scholarly journals The Biological Function Delineated Across Pan-Cancer Levels Through lncRNA-Based Prognostic Risk Assessment Factors for Pancreatic Cancer

2021 ◽  
Vol 9 ◽  
Author(s):  
Xudong Tang ◽  
Mengyan Zhang ◽  
Liang Sun ◽  
Fengyan Xu ◽  
Xin Peng ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Prognostic Marker ◽  
Cancer Genome ◽  
The Cancer Genome Atlas ◽  
Research Network ◽  
Molecular Characteristics ◽  
Cancer Data ◽  
Cancer Genome Atlas ◽  
Pan Cancer ◽  
Genome Atlas

Long non-coding RNAs (lncRNAs) play key roles in tumors and function not only as important molecular markers for cancer prognosis, but also as molecular characteristics at the pan-cancer level. Because of the poor prognosis of pancreatic cancer, accurate assessment of prognosis is a key issue in the development of treatment plans for pancreatic cancer. Here we analyzed pancreatic cancer data from The Cancer Genome Atlas and The Genotype Tissue Expression database using Cox regression and lasso regression in analyses using a combination of the two databases as well as only The Cancer Genome Atlas database (Cancer Genome Atlas Research Network et al., 2013). A prognostic risk score model with significant correlation with pancreatic cancer survival was constructed, and two lncRNAs were investigated. Additional analysis of 33 cancers using the two lncRNAs showed that lncRNA TsPOAP1-AS1 was a prognostic marker of seven cancers, among which pancreatic cancer was the most significant, and lncRNA mi600hg was a prognostic marker of ovarian cancer and pancreatic cancer. LncRNA TsPOAP1-AS1 is associated with clinical stage and tumor mutation burden of some cancers as well as a strong degree of immune infiltration in many cancers, while a strong correlation between lncRNA mi600hg and microsatellite instability was observed in several cancers. The results of this study help further our understanding of the different functions of lncRNAs in cancer and may aid in the clinical application of lncRNAs as prognostic factors for cancer.

scholarly journals A Timely Update of Immunohistochemistry and Molecular Classification in the Diagnosis and Risk Assessment of Endometrial Carcinomas

2021 ◽  
Vol 145 (11) ◽  
pp. 1367-1378
Author(s):  
Minhua Wang ◽  
Pei Hui
Keyword(s):  
Copy Number ◽  
Treatment Strategies ◽  
The United States ◽  
Cancer Genome ◽  
The Cancer Genome Atlas ◽  
Molecular Profile ◽  
Cancer Genome Atlas ◽  
Endometrial Carcinomas ◽  
Genome Atlas

Context.— Endometrial carcinoma is the most common gynecologic malignancy in the United States and has been traditionally classified based on histology. However, the distinction of certain histologic subtypes based on morphology is not uncommonly problematic, and as such, immunohistochemical study is often needed. Advances in comprehensive tumor sequencing have provided novel molecular profiles of endometrial carcinomas. Four distinct molecular subtypes with different prognostic values have been proposed by The Cancer Genome Atlas program: polymerase epsilon ultramutated, microsatellite instability hypermutated, copy number low (microsatellite stable or no specific molecular profile), and copy number high (serouslike, p53 mutant). Objective.— To discuss the utilities of commonly used immunohistochemical markers for the classification of endometrial carcinomas and to review the recent advancements of The Cancer Genome Atlas molecular reclassification and their potential impact on treatment strategies. Data Sources.— Literature review and authors' personal practice experience. Conclusions.— The current practice of classifying endometrial cancers is predominantly based on morphology. The use of ancillary testing, including immunohistochemistry, is helpful in the identification, differential diagnosis, and classification of these cancers. New developments such as molecular subtyping have provided insightful prognostic values for endometrial carcinomas. The proposed The Cancer Genome Atlas classification is poised to gain further prominence in guiding the prognostic evaluation for tailored treatment strategies in the near future.

Genetic Analysis of Uveal Melanoma in 658 Patients Using the Cancer Genome Atlas Classification of Uveal Melanoma as A, B, C, and D

Ophthalmology ◽  
2019 ◽  
Vol 126 (10) ◽  
pp. 1445-1453 ◽  
Author(s):  
Pornpattana Vichitvejpaisal ◽  
Lauren A. Dalvin ◽  
Mehdi Mazloumi ◽  
Kathryn G. Ewens ◽  
Arupa Ganguly ◽  
...  
Keyword(s):  
Genetic Analysis ◽  
Uveal Melanoma ◽  
Cancer Genome ◽  
The Cancer Genome Atlas ◽  
Cancer Genome Atlas ◽  
Genome Atlas

scholarly journals Molekulare Pathologie des ösophagogastralen Adenokarzinoms

2018 ◽  
Vol 09 (04) ◽  
pp. 192-193
Author(s):  
Ine Schmale
Keyword(s):  
Epstein Barr Virus ◽  
Cancer Genome ◽  
The Cancer Genome Atlas ◽  
Research Network ◽  
Molekulare Pathologie ◽  
Barr Virus ◽  
Adenokarzinom Des Ösophagus ◽  
Cancer Genome Atlas ◽  
Epstein Barr ◽  
Genome Atlas

Zusammenfassung Die molekularbiologische Beschreibung des Magenkarzinoms hat sich durch die Arbeit des TCGA (The Cancer Genome Atlas) Research Network stark gewandelt. In einer aktuellen Publikation des TCGA wurden vier genomische Subtypen unterschieden: Epstein-Barr-Virus-infizierte Tumoren (EBV), Mikrosatelliten-instabile Tumoren (MSI), genomisch stabile Tumoren (GS) und chromosomal instabile Tumoren (CIN). Dabei unterscheidet sich das Plattenepithel des Ösophagus fundamental vom dem des Adenokarzinoms Das Adenokarzinom des Ösophagus bzw. des ösophagogastralen Übergangs (ÖGÜ) entspricht eher dem CIN-Subtyp des proximalen Magenkarzinoms, berichtete Prof. Timo Gaiser, Universitätsklinikum Mannheim, auf dem Deutschen Krebs-kongress (DKK) in Berlin.

scholarly journals Regulation of Pharmacogene Expression by microRNA in The Cancer Genome Atlas (TCGA) Research Network

2017 ◽  
Vol 25 (5) ◽  
pp. 482-489
Author(s):  
Nayoung Han ◽  
Yun-Kyoung Song ◽  
Gilbert J. Burckart ◽  
Eunhee Ji ◽  
In-Wha Kim ◽  
...  
Keyword(s):  
Cancer Genome ◽  
The Cancer Genome Atlas ◽  
Research Network ◽  
Cancer Genome Atlas ◽  
Genome Atlas
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