1. Correlation Analysis of Histopathology and Proteogenomics Data for Breast Cancer*
- Author
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Zhan, Xiaohui, Cheng, Jun, Huang, Zhi, Han, Zhi, Helm, Bryan, Liu, Xiaowen, Zhang, Jie, Wang, Tian-Fu, Ni, Dong, and Huang, Kun
- Abstract
Histopathology images are important for cancer diagnosis and prognosis. We extracted quantitative morphological features from breast cancers images and systematically analyzed their relationships with proteins and mRNAs. We observed concordant correlation patterns between image-protein and image-RNA and identified four cancer-related biological processes associated with morphological features related to different tumor components. Further, we observed that proteomic data reveal unique protein-related biological processes associated with morphology. Finally, prognostic morphological features were identified, and their roles are consistent with the underlying biological processes.
- Published
- 2019
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