PURPOSE: The Eastern Cooperative Oncology Group (ECOG) entered 766 patients onto two prospectively randomized surgical adjuvant clinical trials for lymph node-positive breast cancer (T1-3N1M0). Ninety-five percent (n = 728) of eligible patients have complete information on the prognostic covariables under study (tumor necrosis [TN], tumor size, number of positive lymph nodes, age) and a median follow-up duration of 10.3 years. METHODS: TN was defined as confluent cell death in invasive areas of primary cancers, visible at 4 x objective lens magnification. Cox proportional hazards models were used to estimate presence versus absence of TN effects on clinical outcomes over full cross-stratification of variables, including delivery of chemotherapy versus observation only. Time-varying effects were modeled using spline functions of time, and by fixing proportional hazards models separately in the time periods 0 to 2 and 2+ years. RESULTS: Presence of TN was an independent predictor for time to recurrence (TTR) (P = .007) and for survival (P = .0003) in the overall 10-year follow-up period. Presence of TN was also an independent predictor for TTR and for survival (each P < .0001) in the period 0 to 2 years after diagnosis. Spline function time-modeling calculations showed different hazard ratios in the TN-present (TN+) versus TN-absent (TN-) groups for both TTR and survival (each P < .0001). This difference is changing over time (P = .0001 for TTR, P = .0005 for survival). Once a patient has been disease-free beyond 2 years after diagnosis, presence or absence of TN is irrelevant to future prognosis. CONCLUSION: Confluent TN of any dimension in invasive areas of lymph node-positive breast cancer is an independent predictor for early recurrence and death from the disease.
RCT Entities:
PURPOSE: The Eastern Cooperative Oncology Group (ECOG) entered 766 patients onto two prospectively randomized surgical adjuvant clinical trials for lymph node-positive breast cancer (T1-3N1M0). Ninety-five percent (n = 728) of eligible patients have complete information on the prognostic covariables under study (tumor necrosis [TN], tumor size, number of positive lymph nodes, age) and a median follow-up duration of 10.3 years. METHODS:TN was defined as confluent cell death in invasive areas of primary cancers, visible at 4 x objective lens magnification. Cox proportional hazards models were used to estimate presence versus absence of TN effects on clinical outcomes over full cross-stratification of variables, including delivery of chemotherapy versus observation only. Time-varying effects were modeled using spline functions of time, and by fixing proportional hazards models separately in the time periods 0 to 2 and 2+ years. RESULTS: Presence of TN was an independent predictor for time to recurrence (TTR) (P = .007) and for survival (P = .0003) in the overall 10-year follow-up period. Presence of TN was also an independent predictor for TTR and for survival (each P < .0001) in the period 0 to 2 years after diagnosis. Spline function time-modeling calculations showed different hazard ratios in the TN-present (TN+) versus TN-absent (TN-) groups for both TTR and survival (each P < .0001). This difference is changing over time (P = .0001 for TTR, P = .0005 for survival). Once a patient has been disease-free beyond 2 years after diagnosis, presence or absence of TN is irrelevant to future prognosis. CONCLUSION: Confluent TN of any dimension in invasive areas of lymph node-positive breast cancer is an independent predictor for early recurrence and death from the disease.
Authors: Yicun Wang; Qi Shao; Pierre-Francois Van de Moortele; Emilian Racila; Jiaen Liu; John Bischof; Bin He Journal: Magn Reson Med Date: 2018-09-19 Impact factor: 4.668
Authors: Qianyu Guo; Vivian Z Li; Jessica N Nichol; Fan Huang; William Yang; Samuel E J Preston; Zahra Talat; Hanne Lefrère; Henry Yu; Guihua Zhang; Mark Basik; Christophe Gonçalves; Yao Zhan; Dany Plourde; Jie Su; Jose Torres; Maud Marques; Sara Al Habyan; Krikor Bijian; Frédéric Amant; Michael Witcher; Fariba Behbod; Luke McCaffrey; Moulay Alaoui-Jamali; Nadia V Giannakopoulos; Muriel Brackstone; Lynne-Marie Postovit; Sonia V Del Rincón; Wilson H Miller Journal: Cancer Res Date: 2019-01-18 Impact factor: 12.701
Authors: N Hiraoka; Y Ino; S Sekine; H Tsuda; K Shimada; T Kosuge; J Zavada; M Yoshida; K Yamada; T Koyama; Y Kanai Journal: Br J Cancer Date: 2010-08-24 Impact factor: 7.640