Literature DB >> 8410120

Tumor necrosis is a prognostic predictor for early recurrence and death in lymph node-positive breast cancer: a 10-year follow-up study of 728 Eastern Cooperative Oncology Group patients.

K W Gilchrist1, R Gray, B Fowble, D C Tormey, S G Taylor.   

Abstract

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.

Entities:  

Mesh:

Year:  1993        PMID: 8410120     DOI: 10.1200/JCO.1993.11.10.1929

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  28 in total

1.  Mapping electrical properties heterogeneity of tumor using boundary informed electrical properties tomography (BIEPT) at 7T.

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

2.  MNK1/NODAL Signaling Promotes Invasive Progression of Breast Ductal Carcinoma In Situ.

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

3.  Time distribution of the recurrence risk for breast cancer patients undergoing mastectomy: further support about the concept of tumor dormancy.

Authors:  R Demicheli; A Abbattista; R Miceli; P Valagussa; G Bonadonna
Journal:  Breast Cancer Res Treat       Date:  1996       Impact factor: 4.872

4.  Use of Large Retrospective Databases to Guide Tumor Staging Criteria.

Authors:  D A Dominguez; L W Thornblade
Journal:  Ann Surg Oncol       Date:  2022-03-02       Impact factor: 5.344

Review 5.  Cancer Stem Cells: The Architects of the Tumor Ecosystem.

Authors:  Briana C Prager; Qi Xie; Shideng Bao; Jeremy N Rich
Journal:  Cell Stem Cell       Date:  2019-01-03       Impact factor: 24.633

6.  Variables with time-varying effects and the Cox model: some statistical concepts illustrated with a prognostic factor study in breast cancer.

Authors:  Carine A Bellera; Gaëtan MacGrogan; Marc Debled; Christine Tunon de Lara; Véronique Brouste; Simone Mathoulin-Pélissier
Journal:  BMC Med Res Methodol       Date:  2010-03-16       Impact factor: 4.615

7.  Tumour necrosis is a postoperative prognostic marker for pancreatic cancer patients with a high interobserver reproducibility in histological evaluation.

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

8.  Comprehensive Histologic Scoring to Maximize the Predictability of Pathology-generated Equation of Breast Cancer Oncotype DX Recurrence Score.

Authors:  Thaer Khoury; Xiao Huang; Xiwei Chen; Dan Wang; Song Liu; Mateusz Opyrchal
Journal:  Appl Immunohistochem Mol Morphol       Date:  2016 Nov/Dec

9.  Prognostic significance of the intra-vessel tumor characteristics of invasive ductal carcinoma of the breast: a prospective study.

Authors:  Takahiro Hasebe; Satoshi Sasaki; Shigeru Imoto; Atsushi Ochiai
Journal:  Virchows Arch       Date:  2003-11-18       Impact factor: 4.064

10.  The combination of angiogenesis and blood vessel invasion as a prognostic indicator in primary breast cancer.

Authors:  T Kato; S Kameoka; T Kimura; T Nishikawa; M Kobayashi
Journal:  Br J Cancer       Date:  2003-06-16       Impact factor: 7.640

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.