نتایج جستجو برای: tcga

تعداد نتایج: 2480  

Journal: :Anticancer research 2017
Hui-Chen Wu Melissa C Southey Hanina Hibshoosh Regina M Santella Mary Beth Terry

To examine DNA methylation profiles in breast tumors of women with a strong breast cancer family history, we measured methylation by bisulfite sequencing in 40 genes in 40 breast tumor tissues from women in the Breast Cancer Family Registry. We selected candidate genes from analysis of the Cancer Genome Atlas project (TCGA) breast data. Compared to TCGA breast cancer, BCFR cases are younger and...

2016
Eric Levy Rachel Marty Valentina Gárate Calderón Brian Woo Michelle Dow Ricardo Armisen Hannah Carter Olivier Harismendy

Tumor infiltrating lymphocytes (TILs) have been associated with favorable prognosis in multiple tumor types. The Cancer Genome Atlas (TCGA) represents the largest collection of cancer molecular data, but lacks detailed information about the immune environment. Here, we show that exome reads mapping to the complementarity-determining-region 3 (CDR3) of mature T-cell receptor beta (TCRB) can be u...

2015
Jian Guan Rohit Gupta Fabian V. Filipp

We characterized the mutational landscape of human skin cutaneous melanoma (SKCM) using data obtained from The Cancer Genome Atlas (TCGA) project. We analyzed next-generation sequencing data of somatic copy number alterations and somatic mutations in 303 metastatic melanomas. We were able to confirm preeminent drivers of melanoma as well as identify new melanoma genes. The TCGA SKCM study confi...

Journal: :Journal of the National Cancer Institute 2015
Yitan Zhu Yanxun Xu Donald L Helseth Kamalakar Gulukota Shengjie Yang Lorenzo L Pesce Riten Mitra Peter Müller Subhajit Sengupta Wentian Guo Jonathan C Silverstein Ian Foster Nigel Parsad Kevin P White Yuan Ji

BACKGROUND Genetic interactions play a critical role in cancer development. Existing knowledge about cancer genetic interactions is incomplete, especially lacking evidences derived from large-scale cancer genomics data. The Cancer Genome Atlas (TCGA) produces multimodal measurements across genomics and features of thousands of tumors, which provide an unprecedented opportunity to investigate th...

2017
Spyridon Bakas Hamed Akbari Aristeidis Sotiras Michel Bilello Martin Rozycki Justin S Kirby John B Freymann Keyvan Farahani Christos Davatzikos

Gliomas belong to a group of central nervous system tumors, and consist of various sub-regions. Gold standard labeling of these sub-regions in radiographic imaging is essential for both clinical and computational studies, including radiomic and radiogenomic analyses. Towards this end, we release segmentation labels and radiomic features for all pre-operative multimodal magnetic resonance imagin...

Journal: :Cancer genomics & proteomics 2015
Emily Robertson Christina Perry Rachel Doherty Srinivasan Madhusudan

BACKGROUND The Forkhead box transcription factor (FOX) family plays an essential role in embryogenesis, especially during brain development. Our hypothesis is that de-regulation of FOX genes may contribute to aggressive tumor biology and therapy resistance in patients with glioblastoma multiforme (GBM). MATERIALS AND METHODS Univariate and multivariate analyses were performed to evaluate prog...

2016
Chanida Vinayanuwattikun Florence Le Calvez-Kelm Behnoush Abedi-Ardekani David Zaridze Anush Mukeria Catherine Voegele Maxime Vallée Dewajani Purnomosari Nathalie Forey Geoffroy Durand Graham Byrnes James Mckay Paul Brennan Ghislaine Scelo

To examine the diversity of somatic alterations and clonal evolution according to aggressiveness of disease, nineteen tumor-blood pairs of 'formerly bronchiolo-alveolar carcinoma (BAC)' which had been reclassified into preinvasive lesion (adenocarcinoma in situ; AIS), focal invasive lesion (minimally invasive adenocarcinoma; MIA), and invasive lesion (lepidic predominant adenocarcinoma; LPA and...

2012
Toshinori Hinoue Daniel J. Weisenberger Peter W. Laird

[1] "jhu-usc.edu_COAD.HumanMethylation27.Level_3.1.2.0" [2] "jhu-usc.edu_COAD.HumanMethylation27.Level_3.2.2.0" [3] "jhu-usc.edu_COAD.HumanMethylation27.Level_3.3.1.0" [4] "jhu-usc.edu_COAD.HumanMethylation27.Level_3.4.1.0" [5] "jhu-usc.edu_COAD.HumanMethylation27.Level_3.5.2.0" [6] "jhu-usc.edu_COAD.HumanMethylation27.Level_3.6.0.0" [7] "jhu-usc.edu_COAD.HumanMethylation27.Level_3.7.0.0" [8] "...

2016
Michael C. Ryan Wing Chung Wong Robert Brown Rehan Akbani Xiaoping Su Bradley M. Broom James M. Melott John N. Weinstein

TCGA's RNASeq data represent one of the largest collections of cancer transcriptomes ever assembled. RNASeq technology, combined with computational tools like our SpliceSeq package, provides a comprehensive, detailed view of alternative mRNA splicing. Aberrant splicing patterns in cancers have been implicated in such processes as carcinogenesis, de-differentiation and metastasis. TCGA SpliceSeq...

Journal: :Gynecologic oncology 2015
Kevin M Elias Megan M Emori Eniko Papp Emily MacDuffie Gottfried E Konecny Victor E Velculescu Ronny Drapkin

OBJECTIVE Comparisons of The Cancer Genome Atlas (TCGA) with high grade serous ovarian cancer (HGSOC) cell lines used in research reveal that many common experimental models lack defining genomic characteristics seen in patient tumors. As cell lines exist with higher genomic fidelity to TCGA, this study aimed to evaluate the utility of these cell lines as tools for preclinical investigation. ...

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