scholarly journals Effect of Large Tumor Size on Cancer-Specific Mortality in Node-Negative Breast Cancer

2012 ◽  
Vol 87 (12) ◽  
pp. 1171-1180 ◽  
Author(s):  
Ke-Da Yu ◽  
Yi-Zhou Jiang ◽  
Sheng Chen ◽  
Zhi-Gang Cao ◽  
Jiong Wu ◽  
...  
2016 ◽  
Vol 2 (1) ◽  
Author(s):  
Valentina I Petkov ◽  
Dave P Miller ◽  
Nadia Howlader ◽  
Nathan Gliner ◽  
Will Howe ◽  
...  

Abstract The 21-gene Recurrence Score assay is validated to predict recurrence risk and chemotherapy benefit in hormone-receptor-positive (HR+) invasive breast cancer. To determine prospective breast-cancer-specific mortality (BCSM) outcomes by baseline Recurrence Score results and clinical covariates, the National Cancer Institute collaborated with Genomic Health and 14 population-based registries in the the Surveillance, Epidemiology, and End Results (SEER) Program to electronically supplement cancer surveillance data with Recurrence Score results. The prespecified primary analysis cohort was 40–84 years of age, and had node-negative, HR+, HER2-negative, nonmetastatic disease diagnosed between January 2004 and December 2011 in the entire SEER population, and Recurrence Score results (N=38,568). Unadjusted 5-year BCSM were 0.4% (n=21,023; 95% confidence interval (CI), 0.3–0.6%), 1.4% (n=14,494; 95% CI, 1.1–1.7%), and 4.4% (n=3,051; 95% CI, 3.4–5.6%) for Recurrence Score <18, 18–30, and ⩾31 groups, respectively (P<0.001). In multivariable analysis adjusted for age, tumor size, grade, and race, the Recurrence Score result predicted BCSM (P<0.001). Among patients with node-positive disease (micrometastases and up to three positive nodes; N=4,691), 5-year BCSM (unadjusted) was 1.0% (n=2,694; 95% CI, 0.5–2.0%), 2.3% (n=1,669; 95% CI, 1.3–4.1%), and 14.3% (n=328; 95% CI, 8.4–23.8%) for Recurrence Score <18, 18–30, ⩾31 groups, respectively (P<0.001). Five-year BCSM by Recurrence Score group are reported for important patient subgroups, including age, race, tumor size, grade, and socioeconomic status. This SEER study represents the largest report of prospective BCSM outcomes based on Recurrence Score results for patients with HR+, HER2-negative, node-negative, or node-positive breast cancer, including subgroups often under-represented in clinical trials.


Cancers ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1829
Author(s):  
In Sil Choi ◽  
Jiwoong Jung ◽  
Byoung Hyuck Kim ◽  
Sohee Oh ◽  
Jongjin Kim ◽  
...  

Background: To evaluate the performance of the 21-gene recurrence score (RS) assay in predicting chemotherapy benefit in the Surveillance, Epidemiology, and End Results population, we aimed to assess breast cancer-specific mortality (BCSM) by chemotherapy use within each of the RS categories. Methods: Data on breast cancer (BC) cases diagnosed between 2004 and 2015 with available RS results were released. Our analysis included patients with hormone receptor-positive, node-negative early-stage BC (n = 89,402), and three RS groups were defined; RS < 11, low; RS 11–25, intermediate; RS > 25, high. A propensity score matched-analysis was performed to assess and compare BCSM. Results: Chemotherapy was significantly associated with a reduced risk of BC death among patients in the high RS group (hazard ratio = 0.782; 95% CI, 0.618–0.990; p = 0.041). However, in the low and intermediate RS groups, there were no significant differences in BCSM between patients who received chemotherapy and those who did not. Among those with RS 11–25, chemotherapy benefit varied with tumor size (p = 0.001). Conclusions: Our findings provide real-world evidence that the 21-gene RS assay is predictive of chemotherapy benefit among patients in clinical practice. More refined risk estimates would be needed for patients with an intermediate RS.


1986 ◽  
Vol 7 (3) ◽  
pp. 161-169 ◽  
Author(s):  
Rosella Silvestrini ◽  
Maria Grazia Daidone ◽  
Giovanni Di Fronzo ◽  
Alberto Morabito ◽  
Pinuccia Valagussa ◽  
...  

Cancer ◽  
2010 ◽  
Vol 116 (8) ◽  
pp. 1987-1991 ◽  
Author(s):  
Elisa Rush Port ◽  
Sujata Patil ◽  
Michelle Stempel ◽  
Monica Morrow ◽  
Hiram S. Cody

2005 ◽  
Vol 79 (4) ◽  
pp. 1142-1146 ◽  
Author(s):  
Shin-ichi Takeda ◽  
Shimao Fukai ◽  
Hikotaro Komatsu ◽  
Etsuo Nemoto ◽  
Kenji Nakamura ◽  
...  

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