Literature DB >> 8625202

Proliferative rate by S-phase measurement may affect cure of breast carcinoma.

J W Gamel1, J S Meyer, M A Province.   

Abstract

BACKGROUND: Standard, nonparametric statistical methods measure the interaction of covariates with survival rate or relative risk. Conversely, parametric methods measure the interaction of covariates with the two cardinal features of malignant potential: the likelihood of cure and the median time to relapse among uncured patients.
METHODS: The authors performed parametric analysis on data from 810 patients with breast cancer using relapse as the survival end point. Prognostic covariates included lymph node status, tumor size, patient age, nuclear size, S-phase by thymidine or bromodeoxy-uridine labeling, and type of adjuvant therapy (chemotherapy, radiation, or hormone therapy). Also included was the cross-product term (labeling index X chemotherapy).
RESULTS: Multivariate analysis revealed that: likelihood of cure was associated positively with labeling index X chemotherapy and associated negatively with lymph node status, tumor size, and patient age; and time to relapse was associated negatively with node status, nuclear size, and labeling index.
CONCLUSION: The associations of labeling index and chemotherapy with the clinical course suggest that rapidly dividing tumors have a high likelihood of cure, especially with adjuvant chemotherapy, but those not cured may have early relapse.

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Year:  1995        PMID: 8625202     DOI: 10.1002/1097-0142(19950915)76:6<1009::aid-cncr2820760615>3.0.co;2-8

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  3 in total

1.  Systematic heterogeneity and prognostic significance of cell proliferation in colorectal cancer.

Authors:  R Palmqvist; A Oberg; C Bergström; J N Rutegård; B Zackrisson; R Stenling
Journal:  Br J Cancer       Date:  1998-03       Impact factor: 7.640

2.  Competing risks analyses for recurrence from primary breast cancer.

Authors:  J W Chapman; E B Fish; M A Link
Journal:  Br J Cancer       Date:  1999-03       Impact factor: 7.640

3.  Is the thymidine labeling index a good prognostic marker in breast cancer?

Authors:  Ebru Sen-Oran; Vahit Ozmen; Ayhan Bilir; Neslihan Cabioglu; Mahmut Muslumanoglu; Abdullah Igci; Nese Guney; Mustafa Kecer
Journal:  World J Surg Oncol       Date:  2007-08-19       Impact factor: 2.754

  3 in total

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