Published November 2019
| Version v1
Journal article
Clinical-Genomic Models of Node-Positive Breast Cancer: Training, Testing, and Validation
- 1. Department of Research, Koo Foundation Sun Yat-Sen Cancer Center, Taipei (China)
- 2. Epidemiology and Preventive Medicine, Department of Public Health, National Taiwan University (China)
- 3. University of Mississippi Medical Center, Jackson (United States)
- 4. Department of Radiation Oncology, Koo Foundation Sun Yat-Sen Cancer Center, Taipei (China)
Description
There is no useful model for predicting the risk of recurrence in node-positive patients regardless of breast cancer subtype. We developed and validated 2 clinical-genomic models (recurrence index [RI]–local recurrence [LR]) and RI-distant recurrence (RI-DR) for stratifying these patients into low- and high-risk groups.
Additional details
Identifiers
- DOI
- 10.1016/j.ijrobp.2019.06.2546;
- PII
- S0360301619334467;
Publishing Information
- Journal Title
- International Journal of Radiation Oncology, Biology and Physics
- Journal Volume
- 105
- Journal Issue
- 3
- Journal Page Range
- p. 637-648
- ISSN
- 0360-3016
- CODEN
- IOBPD3
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 55060947
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- HEALTH HAZARDS; MAMMARY GLANDS; NEOPLASMS; PATIENTS; TRAINING; VALIDATION
- Descriptors DEC
- BODY; DISEASES; EDUCATION; GLANDS; HAZARDS; ORGANS; TESTING
Optional Information
- Copyright
- Copyright (c) 2019 Elsevier Inc. All rights reserved.