The power of prediction

Cancer

Volumn 113, Issue 5, 2008, Pages 890-892

  Burke, Harry B ^a  

^a GEORGE WASHINGTON UNIVERSITY SCHOOL OF MEDICINE AND HEALTH SCIENCES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BREAST CANCER; CANCER CHEMOTHERAPY; CANCER PATIENT; CANCER RISK; CANCER SCREENING; CANCER STAGING; CANCER SURGERY; CANCER SURVIVAL; CARCINOGENESIS; DIAGNOSTIC ACCURACY; EDITORIAL; GENE EXPRESSION; MOLECULAR THERAPY; PREDICTION; PRIORITY JOURNAL; PROGNOSIS; TUMOR LOCALIZATION; BIOLOGICAL MODEL; BREAST TUMOR; FEMALE; HUMAN; NEOPLASM; NOTE; PREDICTION AND FORECASTING; RISK ASSESSMENT;

BREAST NEOPLASMS; FEMALE; HUMANS; MODELS, BIOLOGICAL; NEOPLASMS; PREDICTIVE VALUE OF TESTS; PROGNOSIS; RISK ASSESSMENT;

EID: 52049118858     PISSN: 0008543X     EISSN: 10970142     Source Type: Journal    
DOI: 10.1002/cncr.23675     Document Type: Editorial

References (14)

1. Gospodarowiez M, Benedet L, Hutter RV, Fleming I, Henson DE, Sobin LH. History and international developments in cancer staging. Cancer Prev Control. 1998;2:262-268.
2. Burke HB, Henson DE. Histologic grade as a prognostic factor in breast carcinoma. Cancer. 1997;80:1703-1705.
3. Burke HB. Outcome prediction and the future of the TNM staging system. J Natl Cancer Inst. 2004;96:1408-1409.
4. Dupont WD. Converting relative risks to absolute risks: a graphical approach. Stat Med. 1989;8:641-651.
5. Gail MH, Brinton LA, Byar DP, et al. Projecting individualized probabilities of developing breast cancer for white females who are being examined annually. J Natl Cancer Inst. 1989;81:1879-1886.
6. Spiegelman D, Colditz GA, Hunter D, Hertzmark E. Validation of the Gail et al. model for predicting individual breast cancer risk. J Natl Cancer Inst. 1994;86:600-607.
7. Rockhill B, Spiegelman D, Byrne C, Hunter DJ, Colditz GA. Validation of the Gail et al. model of breast cancer risk prediction and implications for chemoprevention. J Natl Cancer Inst. 2001;93:358-366.
8. Decarli A, Calza S, Masala G, Specchia C, Palli D, Gail MH. Gail model for prediction of absolute risk of invasive breast cancer: independent evaluation in the Florence-European Prospective Investigation Into Cancer and Nutrition cohort. J Natl Cancer Inst. 2006;98:1686-1693.
9. Chen Z, Arendell L, Aickin M, Cauley J, Lewis CE, Chlebowski R. Hip bone density predicts breast cancer risk independently of Gail score: results from the Women's Health Initiative. Cancer. 2008;113:907-915.
10. Santen RJ, Boyd FN, Chlebowski RT, et al. Critical assessment of new risk factors for breast cancer: considerations for development of an improved risk prediction model. Endocr Relat Cancer. 2007;14:169-187.
11. Buyse M, Loi S, van't Veer L, Viale G, Delorenzi M, Glas AM. Validation and clinical utility of a 70-gene prognostic signature for women with node-negative breast cancer. J Natl Cancer Inst. 2006;98:1183-1192.
12. Wolf I, Ben-Baruch N, Shapira-Frommer R, et al. Association between standard clinical and pathologic characteristics and the 21-gene recurrence score in breast cancer patients. Cancer. 2008;112:731-736.
13. Simon E. Development and evaluation of therapeutically relevant predictive classifiers using gene expression profiling. J Natl Cancer Inst. 2006;98:1169-1171.
14. Rieff D. Swimming in a Sea of Death, as quoted by Katie Roiphe, Without Metaphor. New York Times. February 2, 2008:11.