Results 11 to 20 of about 184,470 (334)

SnapShot: TCGA-Analyzed Tumors

Cell, 2018
This SnapShot provides a list of the tumor types characterized by The Cancer Genome Atlas (TCGA) program. Key findings shown are the most relevant discoveries described in each marker paper for the tumor type.
Peggy I. Wang, Jean C. Zenklusen, Amy Blum   +2 more
semanticscholar   +5 more sources

On the Reproducibility of TCGA Ovarian Cancer MicroRNA Profiles [PDF]

PLoS ONE, 2013
AbstractDysregulated microRNA (miRNA) expression is a well-established feature of human cancer. However, the role of specific miRNAs in determining cancer outcomes remains unclear. Using Level 3 expression data from the Cancer Genome Atlas (TCGA), we identified 61 miRNAs that are associated with overall survival in 469 ovarian cancers profiled by ...
Wan, Ying-Wooi, Mach, Claire M., Allen, Genevera I., Anderson, Matthew L., Liu, Zhandong   +4 more
openaire   +8 more sources

Machine learning analysis of TCGA cancer data

PeerJ Computer Science, 2021
In recent years, machine learning (ML) researchers have changed their focus towards biological problems that are difficult to analyse with standard approaches. Large initiatives such as The Cancer Genome Atlas (TCGA) have allowed the use of omic data for the training of these algorithms.
Jose Liñares-Blanco, Alejandro Pazos, Carlos Fernandez-Lozano   +2 more
openaire   +6 more sources

TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data [PDF]

Nucleic Acids Research, 2015
The Cancer Genome Atlas (TCGA) research network has made public a large collection of clinical and molecular phenotypes of more than 10 000 tumor patients across 33 different tumor types. Using this cohort, TCGA has published over 20 marker papers detailing the genomic and epigenomic alterations associated with these tumor types.
Antonio Colaprico 1, 2, Tiago C. Silva 3, 4, Catharina Olsen 1, 2, Luciano Garofano 5, 6, Claudia Cava 7, Davide Garolini 8, Thais S. Sabedot 3, 4, Tathiane M. Malta 3, 4, Stefano M. Pagnotta 5, 9, Isabella Castiglioni 7, Michele Ceccarelli 10, Gianluca Bontempi 1, 2, Houtan Noushmehr 3, 4   +21 more
openaire   +8 more sources

Molecular analysis of TCGA breast cancer histologic types

Cell Genomics, 2021
Breast cancer is classified into multiple distinct histologic types, and many of the rarer types have limited characterization. Here, we extend The Cancer Genome Atlas Breast Cancer (TCGA-BRCA) dataset with additional histologic type annotations in a total of 1,063 breast cancers.
Aatish Thennavan, Francisco Beca, Youli Xia, Susana Garcia-Recio, Kimberly Allison, Laura C. Collins, Gary M. Tse, Yunn-Yi Chen, Stuart J. Schnitt, Katherine A. Hoadley, Andrew Beck, Charles M. Perou   +11 more
openaire   +4 more sources

Prognostic value of the TCGA molecular classification in uterine carcinosarcoma

International Journal of Gynecology & Obstetrics, 2021
AbstractBackgroundThe TCGA molecular groups of endometrial carcinoma are “POLE‐mutated” (POLEmut), “microsatellite‐instable/mismatch repair‐deficient” (MSI/MMRd), “TP53‐mutated/p53‐abnormal” (TP53mut/p53abn), and “no specific molecular profile” (NSMP).ObjectivePrognostic assessment of the TCGA groups in uterine carcinosarcoma (UCS).Search ...
Paolo Casadio, Nicoletta D'Alessandris, Gian Franco Zannoni, Gian Franco Zannoni, Michele Valente, Antonio Mollo, Antonio Travaglino, Antonio Travaglino, Renato Seracchioli, Diego Raimondo, Antonio Raffone, Antonio Raffone, Giulia Scaglione, Angela Santoro, Damiano Arciuolo, Giuseppe Angelico, Frediano Inzani   +16 more
openaire   +6 more sources

Review The Cancer Genome Atlas (TCGA): an immeasurable source of knowledge

Współczesna Onkologia, 2015
The Cancer Genome Atlas (TCGA) is a public funded project that aims to catalogue and discover major cancer-causing genomic alterations to create a comprehensive "atlas" of cancer genomic profiles. So far, TCGA researchers have analysed large cohorts of over 30 human tumours through large-scale genome sequencing and integrated multi-dimensional analyses.
Patrycja Czerwińska, Maciej Wiznerowicz, Katarzyna Tomczak   +2 more
openaire   +3 more sources

TCGA Classification of Endometrial Cancer: the Place of Carcinosarcoma

Pathology & Oncology Research, 2020
In 2013, The Cancer Genome Atlas (TCGA) Research Network found four novel prognostic subgroups of endometrial carcinoma: POLE/ultramutated (POLE), microsatellite-instable/hypermutated (MSI), copy-number-low/TP53-wild-type (CNL), and copy-number-highTP53-mutant (CNH). However, poor is known regarding uncommon histotypes of endometrial cancer.
Travaglino A., Raffone A., Gencarelli A., Mollo A., Guida M., Insabato L., Santoro A., Zannoni G. F., Zullo F.   +8 more
openaire   +6 more sources

Gene signatures and prognostic values of m6A regulators in clear cell renal cell carcinoma – a retrospective study using TCGA database

Aging, 2019
m6A is the most common form of mRNA modification. However, little is known about its role in clear cell renal cell carcinoma (ccRCC). This study aims to identify gene signatures and prognostic values of m6A regulators in ccRCC.
Jingcheng Zhou, Jiangyi Wang, Baoan Hong, Kaifang Ma, Haibiao Xie, Lei Li, Kenan Zhang, Bowen Zhou, Lin Cai, Kan Gong   +9 more
openalex   +2 more sources

TCGA molecular subgroups and FIGO grade in endometrial endometrioid carcinoma

Archives of Gynecology and Obstetrics, 2020
International Federation of Gynecology and Obstetrics (FIGO) grade is a crucial factor in the current system for the risk stratification of endometrial endometrioid carcinoma (EC). The Cancer Genome Atlas (TCGA) demonstrated four molecular prognostic subgroups for EC: POLE (good prognosis), microsatellite-instable (MSI, intermediate prognosis), copy ...
Travaglino A., Raffone A., Mollo A., Borrelli G., Alfano P., Zannoni G. F., Insabato L., Zullo F.   +7 more
openaire   +7 more sources