The impact of stage and histology on the long-term clinical course of 163,808 patients with breast carcinoma

Cancer. 1996 Apr 15;77(8):1459-64. doi: 10.1002/(SICI)1097-0142(19960415)77:8<1459::AID-CNCR6>3.0.CO;2-7.

Abstract

Background: Stage and histologic type have a significant impact on the long term clinical course of breast carcinoma. Clinical course is governed by two components: likelihood of cure and medial tumor-related survival time among uncured patients. Estimates of these components can be derived only by using survival models that incorporate cured fraction as a specific parameter.

Methods: The prognostic value of stage and histologic type was determined for 163,808 patients with breast carcinoma using the log normal and log logit cure-based survival models. Follow-up ranged from 1 month to 19 years and was obtained from the SEER Program.

Results: In approximate terms, ductal carcinoma was diagnosed in 70% of the patients, with estimate cured fractions of 2/3 and 1/3 for local and regional disease, respectively. Estimates of medial survival times for uncured patients were 10 and 5 years. Findings were similar for patients with tumor of miscellaneous histologic types. For patients with medullary carcinoma were 82% and 50%, with median survival times of 6 and 4 years. For patients with mucinous, lobular, and ductolobular carcinomas, parametric analysis gave inconsistent estimates of cured fraction, but findings suggested unusually long tumor-related survival times.

Conclusions: Cured-based parametric survival models offer valuable insight into the impact of stage and histology on the clinical course of breast cancer.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Breast Neoplasms / mortality*
  • Breast Neoplasms / pathology*
  • Carcinoma, Ductal, Breast / mortality*
  • Carcinoma, Ductal, Breast / pathology*
  • Female
  • Follow-Up Studies
  • Humans
  • Neoplasm Staging
  • Prognosis
  • SEER Program
  • Survival Analysis