Cure Models for Estimating Hospital-Based Breast Cancer Survival

Rama, Ranganathan and Swaminathan, Rajaraman and Venkatesan, P (2010) Cure Models for Estimating Hospital-Based Breast Cancer Survival. Asian Pacific Journal of Cancer Prevention, 11 (2). pp. 387-391. ISSN 2476-762X

Archive 201037.pdf - Published Version Download (351kB)

Abstract

Objective: Research on cancer survival is enriched by development and application of innovative analytical approaches in relation to standard methods. The aim of the present paper is to document the utility of a mixture model to estimate the cure fraction and compare it with other approaches. Methods: The data were for 1,107 patients with locally advanced breast cancer, who completed the neo-adjuvant treatment protocol during 1990-99 at the Cancer Institute (WIA), Chennai, India. Tumour stage, post-operative pathological node (PN) and tumour residue (TR) status were studied. Event free survival probability was estimated using the Kaplan-Meier method. Cure models under proportional and non-proportional hazard assumptions following log normal distribution for survival time were used to estimate both the cure fraction and the survival function for the uncured. Results: Event free survival at 5 and 10 years were 64.2% and 52.6% respectively and cure fraction was 47.5% for all cases together. Follow up ranged between 0-15 years and survival probabilities showed minimal changes after 7 years of follow up. TR and PN emerged as independent prognostic factors using Cox and proportional hazard (PH) cure models. Proportionality condition was violated when tumour stage was considered and it was statistically significant only under PH and not under non PH cure models. However, TR and PN continued to be independent prognostic factors after adjusting for tumour stage using the non PH cure model. A consistent ordering of cure fractions with respect to factors of PN and TR was forthcoming across tumour stages using PH and non PH cure models, but perceptible differences in survival were observed between the two. Conclusion: If PH conditions are violated, analysis using a non PH model is advocated and mixture cure models are useful in estimating the cure fraction and constructing survival curves for non-cures.

Affiliation:	ICMR-National Institute for Research in Tuberculosis
Item Type:	Article
Uncontrolled Keywords:	Parametric - proportional hazard - mixture cure model - cure fraction - breast cancer
Subjects:	Tuberculosis > Biostatistics
Divisions:	Statistics
Depositing User:	Dr. Rathinasabapati R
Date Deposited:	25 May 2022 07:16
Last Modified:	25 May 2022 07:16
URI:	http://eprints.nirt.res.in/id/eprint/1051

Actions (login required)

View Item