Results 21 to 30 of about 184,470 (334)
Chromoanagenesis landscape in 10,000 TCGA patients [PDF]
AbstractDuring the past decade, whole-genome sequencing of tumor biopsies and individuals with congenital disorders highlighted the phenomenon of chromoanagenesis, a single chaotic event of chromosomal rearrangement. Chromoanagenesis was shown to be frequent in many types of cancers, to occur in early stages of cancer development, and significantly ...
Roni Rasnic, Michal Linial
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TCGA data reveal a highly heterogeneous disease [PDF]
Peter Sidaway
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Background Pan-cancer analysis examines both the commonalities and heterogeneity among genomic and cellular alterations across numerous types of tumors.
Chenqi Liao, Xiong Wang
semanticscholar +1 more source
Nowadays, brain tumors have become a leading cause of mortality worldwide. The brain cells in the tumor grow abnormally and badly affect the surrounding brain cells.
Abdullah A. Asiri +10 more
semanticscholar +1 more source
Molecular Profiling of Endometrial Cancer From TCGA to Clinical Practice.
Molecular classification provides an objective, reproducible framework for categorization of endometrial cancers (ECs), informing prognosis and selection of therapy.
A. Jamieson, J. McAlpine
semanticscholar +1 more source
HER2-low breast cancer (BC) is currently an area of active interest. This study evaluated the impact of low expression of HER2 on survival outcomes in HER2-negative non-metastatic breast cancer (BC).
R. Tan +22 more
semanticscholar +1 more source
TCGA Molecular Prognostic Groups of Endometrial Carcinoma: Current Knowledge and Future Perspectives
The four TCGA-based molecular prognostic groups of endometrial carcinoma (EC), i.e., POLE-mutant, mismatch repair (MMR)-deficient, p53-abnormal, and “no specific molecular profile” (NSMP), have recently been integrated into ESGO-ESTRO-ESP guidelines. The
D. Arciuolo +12 more
semanticscholar +1 more source
TCGA-Assembler: open-source software for retrieving and processing TCGA data [PDF]
To the Editor: The Cancer Genome Atlas (TCGA) has been generating multi-modal genomics, epigenomics, and proteomics data for thousands of tumor samples across more than 20 types of cancer. While the access to most level-1 and -2 TCGA data is restricted, the entire level-3 TCGA data as well as some level-1 clinical data (e.g., survival and drug ...
Peng Qiu, Yitan Zhu, Yuan Ji
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Background Numerous studies support that Human papillomavirus (HPV) can cause cervical cancer. However, few studies have surveyed the heterogeneity of HPV infected or uninfected (HPV+ and HPV-) cervical cancer (CESC) patients.
Erdong Wei +5 more
semanticscholar +1 more source
TCGA-assembler 2: software pipeline for retrieval and processing of TCGA/CPTAC data [PDF]
Abstract Motivation The Cancer Genome Atlas (TCGA) program has produced huge amounts of cancer genomics data providing unprecedented opportunities for research. In 2014, we developed TCGA-Assembler, a software pipeline for retrieval and processing of public TCGA data.
Yitan Zhu +6 more
openaire +4 more sources

