Correlation Analysis of Histopathology and Proteogenomics Data for Breast Cancer.

ABSTRACT: Tumors are heterogeneous tissues with different types of cells such as cancer cells, fibroblasts, and lymphocytes. Although the morphological features of tumors are critical for cancer diagnosis and prognosis, the underlying molecular events and genes for tumor morphology are far from being clear. With the advancement in computational pathology and accumulation of large amount of cancer samples with matched molecular and histopathology data, researchers can carry out integrative analysis to investigate this issue. In this study, we systematically examine the relationships between morphological features and various molecular data in breast cancers. Specifically, we identified 73 breast cancer patients from the TCGA and CPTAC projects matched whole slide images, RNA-seq, and proteomic data.

SUBMITTER: Zhan X 

PROVIDER: S-EPMC6692775 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature