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Article

Development of a Histopathology Informatics Pipeline for Classification and Prediction of Clinical Outcomes in Subtypes of Renal Cell Carcinoma.

Clinical cancer research : an official journal of the American Association for Cancer Research - 15 May 2021

Marostica Eliana, Barber Rebecca, Denize Thomas, Kohane Isaac S, Signoretti Sabina, Golden Jeffrey A, Yu Kun-Hsing

Abstract excerpt

PURPOSE: Histopathology evaluation is the gold standard for diagnosing clear cell (ccRCC), papillary, and chromophobe renal cell carcinoma (RCC). However, interrater variability has been reported, and the whole-slide histopathology images likely contain underutilized biological signals predictive of genomic profiles. EXPERIMENTAL DESIGN: To address this knowledge gap, we obtained whole-slide histopathology images...

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Share to Carcinoma, Renal Cell
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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 33722896
DOI: 10.1158/1078-0432.CCR-20-4119

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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