Related Experiment Video
Updated: Aug 12, 2026

07:41
Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Prognostic and Predictive Factors for Breast Cancer
1Division of Medical Oncology, University of Texas Health Science Center at San Antonio, San Antonio, Texas 78284-7884, USA.
Breast Cancer (Tokyo, Japan)
|October 31, 1995
Abstract:
Prognostic factors can be useful for making decisions about which patients should receive adjuvant therapy, and predictive factors can be used to predict response or lack of response to a particular therapy. We review the standard factors that are available today for primary breast cancer, and we dscribe some of the new, potential prognostic and predictive factors that are currently under investigation.
Related Concept Videos
Tumor Progression
Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
Cancer Survival Analysis
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
