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Robert B. West

Researcher at Stanford University

Publications -  185
Citations -  24353

Robert B. West is an academic researcher from Stanford University. The author has contributed to research in topics: Breast cancer & Cancer. The author has an hindex of 65, co-authored 182 publications receiving 20227 citations. Previous affiliations of Robert B. West include University of California, Davis & University of Southern California.

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Long non-coding RNA HOTAIR reprograms chromatin state to promote cancer metastasis

TL;DR: It is shown that lincRNAs in the HOX loci become systematically dysregulated during breast cancer progression, indicating that l incRNAs have active roles in modulating the cancer epigenome and may be important targets for cancer diagnosis and therapy.
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The prognostic landscape of genes and infiltrating immune cells across human cancers

TL;DR: A pan-cancer resource and meta-analysis of expression signatures from ∼18,000 human tumors with overall survival outcomes across 39 malignancies is presented and it is found that expression of favorably prognostic genes, including KLRB1 (encoding CD161), largely reflect tumor-associated leukocytes.
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Gene Expression Signature of Fibroblast Serum Response Predicts Human Cancer Progression: Similarities between Tumors and Wounds

TL;DR: The transcriptional signature of the response of fibroblasts to serum provides a possible link between cancer progression and wound healing, as well as a powerful predictor of the clinical course in several common carcinomas.
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Integrated digital error suppression for improved detection of circulating tumor DNA

TL;DR: This work introduces an approach for integrated digital error suppression (iDES), which combines in silico elimination of highly stereotypical background artifacts with a molecular barcoding strategy for the efficient recovery of cfDNA molecules, and facilitates noninvasive variant detection across hundreds of kilobases of circulating tumor DNA.
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Systematic analysis of breast cancer morphology uncovers stromal features associated with survival.

TL;DR: An automated pathologist is created by replacing the human brain with sophisticated image processing software and instructing it to find quantitative aspects of breast cancer tissue that predict prognosis, which was strongly associated with overall survival in both the NKI and the VGH cohorts.