Prognostic Role of Detection Method and Its Relationship with Tumor Biomarkers in Breast Cancer: The University of Texas M. D. Anderson Cancer Center Experience

Purpose: To assess the effect of tumor detection method (screening versus symptom-based diagnosis) in predicting breast cancer survival and investigate how biological features of breast cancer are related to the tumor detection method. Patients and Methods: The study population consisted of 5,481 women diagnosed with primary invasive breast cancer between 1997 and 2005 and received their treatment at The University of Texas M. D. Anderson Cancer Center. Results: Patients with symptom-detected tumors had an increased risk of recurrence or death [relative risk (RR), 1.34; P = 0.006] and breast cancer–specific death (RR, 1.31; P = 0.117) than patients with screen-detected tumors after adjusting for tumor characteristics and treatments received. This relationship was especially evident among estrogen receptor (ER)–negative tumors (RR, 1.60 for breast cancer recurrence for ER-negative tumors; RR, 1.18 for ER-positive tumors). ER status and Ki-67 expression were statistically significantly associated with symptom detection rate after adjusting for patients' age, tumor stage, tumor size, and nuclear grade [odds ratio (OR) of ER negative versus ER positive, 1.35; P < 0.001; OR of Ki-67 10-30% versus <10%, 1.40; P = 0.005; OR of Ki-67 >30% versus <10%, 2.11; P < 0.001]. Conclusion: The method of detection was a statistically significant independent predictor of breast cancer recurrence. Information on the method of tumor detection should be collected to improve the prediction of prognosis of breast cancer patients. (Cancer Epidemiol Biomarkers Prev 2008;17(5):1096–103)

[1]  R. Theriault,et al.  Are there racial differences in breast cancer treatments and clinical outcomes for women treated at M.D. Anderson Cancer Center? , 2007, Breast Cancer Research and Treatment.

[2]  Lurdes Y. T. Inoue,et al.  Modeling the impact of treatment and screening on U.S. breast cancer mortality: a Bayesian approach. , 2006, Journal of the National Cancer Institute. Monographs.

[3]  D. Miglioretti,et al.  Does Utilization of Screening Mammography Explain Racial and Ethnic Differences in Breast Cancer? , 2006, Annals of Internal Medicine.

[4]  L. Fuortes,et al.  Prognosis of metachronous contralateral breast cancer according to stage at diagnosis: The importance of early detection , 2006, Breast Cancer Research and Treatment.

[5]  Yu Shen,et al.  Role of detection method in predicting breast cancer survival: analysis of randomized screening trials. , 2005, Journal of the National Cancer Institute.

[6]  I. Tannock,et al.  Should screen-detected breast cancers be managed differently? , 2005, Journal of the National Cancer Institute.

[7]  M. Baum Breast cancer screening comes full circle. , 2004, Journal of the National Cancer Institute.

[8]  V. Kataja,et al.  Risk for distant recurrence of breast cancer detected by mammography screening or other methods. , 2004, JAMA.

[9]  A. Jemal,et al.  Annual report to the nation on the status of cancer, 1975-2000, featuring the uses of surveillance data for cancer prevention and control. , 2003, Journal of the National Cancer Institute.

[10]  J. Hendriks,et al.  Initiation of population-based mammography screening in Dutch municipalities and effect on breast-cancer mortality: a systematic review , 2003, The Lancet.

[11]  L. Tabár,et al.  Mammography service screening and mortality in breast cancer patients: 20-year follow-up before and after introduction of screening , 2003, The Lancet.

[12]  S. Woolf,et al.  Breast Cancer Screening: A Summary of the Evidence for the U.S. Preventive Services Task Force , 2002, Annals of Internal Medicine.

[13]  H M Rosenberg,et al.  Annual report to the nation on the status of cancer (1973 through 1998), featuring cancers with recent increasing trends. , 2001, Journal of the National Cancer Institute.

[14]  M. Dubé,et al.  Re: Biologic characteristics of interval and screen-detected breast cancers. , 2001, Journal of the National Cancer Institute.

[15]  C R Key,et al.  Biologic characteristics of interval and screen-detected breast cancers. , 2000, Journal of the National Cancer Institute.

[16]  P. Porter,et al.  Breast tumor characteristics as predictors of mammographic detection: comparison of interval- and screen-detected cancers. , 1999, Journal of the National Cancer Institute.

[17]  C L Murray,et al.  Survival of women ages 40‐49 years with breast carcinoma according to method of detection , 1997, Cancer.

[18]  A. Miller,et al.  Canadian National Breast Screening Study: 1. Breast cancer detection and death rates among women aged 40 to 49 years. , 1992, CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne.

[19]  A. Miller,et al.  Canadian National Breast Screening Study. , 1990, AJR. American journal of roentgenology.

[20]  R. Tarone,et al.  Analysis of breast cancer mortality and stage distribution by age for the Health Insurance Plan clinical trial. , 1988, Journal of the National Cancer Institute.

[21]  A. Morrison,et al.  The effects of early treatment, lead time and length bias on the mortality experienced by cases detected by screening. , 1982, International journal of epidemiology.

[22]  S. Shapiro,et al.  Lead time in breast cancer detection and implications for periodicity of screening. , 1974, American journal of epidemiology.

[23]  V. Shavers,et al.  Racial/ethnic variation in clinical presentation, treatment, and survival among breast cancer patients under age 35 , 2003, Cancer.

[24]  A. Miller,et al.  Canadian National Breast Screening Study: 2. Breast cancer detection and death rates among women aged 50 to 59 years. , 1992, CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne.

[25]  R. Connor,et al.  Stage-shift cancer screening model. , 1989, Journal of clinical epidemiology.