Richard J Bleicher1, Karen Ruth2, Elin R Sigurdson1, J Robert Beck3, Eric Ross2, Yu-Ning Wong4, Sameer A Patel5, Marcia Boraas1, Eric I Chang5, Neal S Topham5, Brian L Egleston2. 1. Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, Pennsylvania. 2. Department of Biostatistics, Fox Chase Cancer Center, Philadelphia, Pennsylvania. 3. Cancer Prevention and Control Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania. 4. Department of Medical Oncology, Fox Chase Cancer Center, Philadelphia, Pennsylvania. 5. Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, Pennsylvania5Division of Plastic and Reconstructive Surgery, Fox Chase Cancer Center, Philadelphia, Pennsylvania.
Abstract
IMPORTANCE: Time to surgery (TTS) is of concern to patients and clinicians, but controversy surrounds its effect on breast cancer survival. There remains little national data evaluating the association. OBJECTIVE: To investigate the relationship between the time from diagnosis to breast cancer surgery and survival, using separate analyses of 2 of the largest cancer databases in the United States. DESIGN, SETTING, AND PARTICIPANTS: Two independent population-based studies were conducted of prospectively collected national data from the Surveillance, Epidemiology, and End Results (SEER)-Medicare-linked database and the National Cancer Database (NCDB). The SEER-Medicare cohort included Medicare patients older than 65 years, and the NCDB cohort included patients cared for at Commission on Cancer-accredited facilities throughout the United States. Each analysis assessed overall survival as a function of time between diagnosis and surgery by evaluating 5 intervals (≤30, 31-60, 61-90, 91-120, and 121-180 days) and disease-specific survival at 60-day intervals. All patients were diagnosed with noninflammatory, nonmetastatic, invasive breast cancer and underwent surgery as initial treatment. MAIN OUTCOMES AND MEASURES: Overall and disease-specific survival as a function of time between diagnosis and surgery, after adjusting for patient, demographic, and tumor-related factors. RESULTS: The SEER-Medicare cohort had 94 544 patients 66 years or older diagnosed between 1992 and 2009. With each interval of delay increase, overall survival was lower overall (hazard ratio [HR], 1.09; 95% CI, 1.06-1.13; P < .001), and in patients with stage I (HR, 1.13; 95% CI, 1.08-1.18; P < .001) and stage II disease (HR 1.06; 95% CI, 1.01-1.11; P = .01). Breast cancer-specific mortality increased with each 60-day interval (subdistribution hazard ratio [sHR], 1.26; 95% CI, 1.02-1.54; P = .03). The NCDB study evaluated 115 790 patients 18 years or older diagnosed between 2003 and 2005. The overall mortality HR was 1.10 (95% CI, 1.07-1.13; P < .001) for each increasing interval, significant in stages I (HR, 1.16; 95% CI, 1.12-1.21; P < .001) and II (HR, 1.09; 95% CI, 1.05-1.13; P < .001) only, after adjusting for demographic, tumor, and treatment factors. CONCLUSIONS AND RELEVANCE: Greater TTS is associated with lower overall and disease-specific survival, and a shortened delay is associated with benefits comparable to some standard therapies. Although time is required for preoperative evaluation and consideration of options such as reconstruction, efforts to reduce TTS should be pursued when possible to enhance survival.
IMPORTANCE: Time to surgery (TTS) is of concern to patients and clinicians, but controversy surrounds its effect on breast cancer survival. There remains little national data evaluating the association. OBJECTIVE: To investigate the relationship between the time from diagnosis to breast cancer surgery and survival, using separate analyses of 2 of the largest cancer databases in the United States. DESIGN, SETTING, AND PARTICIPANTS: Two independent population-based studies were conducted of prospectively collected national data from the Surveillance, Epidemiology, and End Results (SEER)-Medicare-linked database and the National Cancer Database (NCDB). The SEER-Medicare cohort included Medicare patients older than 65 years, and the NCDB cohort included patients cared for at Commission on Cancer-accredited facilities throughout the United States. Each analysis assessed overall survival as a function of time between diagnosis and surgery by evaluating 5 intervals (≤30, 31-60, 61-90, 91-120, and 121-180 days) and disease-specific survival at 60-day intervals. All patients were diagnosed with noninflammatory, nonmetastatic, invasive breast cancer and underwent surgery as initial treatment. MAIN OUTCOMES AND MEASURES: Overall and disease-specific survival as a function of time between diagnosis and surgery, after adjusting for patient, demographic, and tumor-related factors. RESULTS: The SEER-Medicare cohort had 94 544 patients 66 years or older diagnosed between 1992 and 2009. With each interval of delay increase, overall survival was lower overall (hazard ratio [HR], 1.09; 95% CI, 1.06-1.13; P < .001), and in patients with stage I (HR, 1.13; 95% CI, 1.08-1.18; P < .001) and stage II disease (HR 1.06; 95% CI, 1.01-1.11; P = .01). Breast cancer-specific mortality increased with each 60-day interval (subdistribution hazard ratio [sHR], 1.26; 95% CI, 1.02-1.54; P = .03). The NCDB study evaluated 115 790 patients 18 years or older diagnosed between 2003 and 2005. The overall mortality HR was 1.10 (95% CI, 1.07-1.13; P < .001) for each increasing interval, significant in stages I (HR, 1.16; 95% CI, 1.12-1.21; P < .001) and II (HR, 1.09; 95% CI, 1.05-1.13; P < .001) only, after adjusting for demographic, tumor, and treatment factors. CONCLUSIONS AND RELEVANCE: Greater TTS is associated with lower overall and disease-specific survival, and a shortened delay is associated with benefits comparable to some standard therapies. Although time is required for preoperative evaluation and consideration of options such as reconstruction, efforts to reduce TTS should be pursued when possible to enhance survival.
Authors: Richard J Bleicher; Karen Ruth; Elin R Sigurdson; Eric Ross; Yu-Ning Wong; Sameer A Patel; Marcia Boraas; Neal S Topham; Brian L Egleston Journal: J Clin Oncol Date: 2012-11-19 Impact factor: 44.544
Authors: John M McLaughlin; Roger T Anderson; Amy K Ferketich; Eric E Seiber; Rajesh Balkrishnan; Electra D Paskett Journal: J Clin Oncol Date: 2012-11-19 Impact factor: 44.544
Authors: Jonathan L Vandergrift; Joyce C Niland; Richard L Theriault; Stephen B Edge; Yu-Ning Wong; Loretta S Loftus; Tara M Breslin; Clifford A Hudis; Sara H Javid; Hope S Rugo; Samuel M Silver; Eva M Lepisto; Jane C Weeks Journal: J Natl Cancer Inst Date: 2012-12-21 Impact factor: 13.506
Authors: Maude Trepanier; Tiffany Paradis; Araz Kouyoumdjian; Teodora Dumitra; Patrick Charlebois; Barry S Stein; A Sender Liberman; Kevin Schwartzman; Franco Carli; Gerald M Fried; Liane S Feldman; Lawrence Lee Journal: J Gastrointest Surg Date: 2019-07-31 Impact factor: 3.452
Authors: Rachel Yung; Roberta M Ray; Joshua Roth; Lisa Johnson; Greg Warnick; Garnet L Anderson; Candyce H Kroenke; Rowan T Chlebowski; Michael S Simon; Chunkit Fung; Kathy Pan; Di Wang; Wendy E Barrington; Kerryn W Reding Journal: Breast Cancer Res Treat Date: 2020-02-15 Impact factor: 4.872
Authors: Kelsey H Natsuhara; Katya Losk; Tari A King; Nancy U Lin; Kristen Camuso; Mehra Golshan; Stephen Pochebit; Jane E Brock; Craig A Bunnell; Rachel A Freedman Journal: Oncologist Date: 2018-08-03
Authors: Ali Johnson; Leanne Shulman; Jennifer Kachajian; Brian L Sprague; Farrah Khan; Ted James; David Cranmer; Peter Young; Ruth Heimann Journal: J Oncol Pract Date: 2016-08-30 Impact factor: 3.840
Authors: Marc A Emerson; Yvonne M Golightly; Allison E Aiello; Katherine E Reeder-Hayes; Xianming Tan; Ugwuji Maduekwe; Marian Johnson-Thompson; Andrew F Olshan; Melissa A Troester Journal: Cancer Date: 2020-09-21 Impact factor: 6.860