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Cyriac Kandoth

Researcher at Memorial Sloan Kettering Cancer Center

Publications -  73
Citations -  56295

Cyriac Kandoth is an academic researcher from Memorial Sloan Kettering Cancer Center. The author has contributed to research in topics: Gene & Cancer. The author has an hindex of 44, co-authored 71 publications receiving 45345 citations. Previous affiliations of Cyriac Kandoth include Kettering University & Washington University in St. Louis.

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Integrated genomic analyses of ovarian carcinoma

Debra A. Bell, +285 more
- 30 Jun 2011 - 
TL;DR: It is reported that high-grade serous ovarian cancer is characterized by TP53 mutations in almost all tumours (96%); low prevalence but statistically recurrent somatic mutations in nine further genes including NF1, BRCA1,BRCA2, RB1 and CDK12; 113 significant focal DNA copy number aberrations; and promoter methylation events involving 168 genes.

Integrated genomic analyses of ovarian carcinoma

Daphne W. Bell, +261 more
TL;DR: The Cancer Genome Atlas project has analyzed messenger RNA expression, microRNA expression, promoter methylation and DNA copy number in 489 high-grade serous ovarian adenocarcinomas and the DNA sequences of exons from coding genes in 316 of these tumours as mentioned in this paper.
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The cancer genome atlas pan-cancer analysis project

John N. Weinstein, +379 more
- 01 Oct 2013 - 
TL;DR: The Pan-Cancer initiative compares the first 12 tumor types profiled by TCGA with a major opportunity to develop an integrated picture of commonalities, differences and emergent themes across tumor lineages.
Journal Article

The Cancer Genome Atlas Pan-Cancer analysis project

Kyle Chang, +337 more
- 01 Sep 2013 - 
TL;DR: The Cancer Genome Atlas (TCGA) Research Network has profiled and analyzed large numbers of human tumors to discover molecular aberrations at the DNA, RNA, protein and epigenetic levels as mentioned in this paper.
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Genomic and epigenomic landscapes of adult de novo acute myeloid leukemia

Timothy J. Ley, +138 more
TL;DR: It is found that a complex interplay of genetic events contributes to AML pathogenesis in individual patients and the databases from this study are widely available to serve as a foundation for further investigations of AMl pathogenesis, classification, and risk stratification.