Is prior cancer history a hindrance for non-small cell lung cancer patients to participate in clinical trials?

0Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Background: This study aimed to explore the effect of a prior cancer history on the survivals of resected non-small cell lung cancer (NSCLC) patients. Methods: Kaplan–Meier method with a log-rank test was used to compare overall survival (OS) and disease-free survival (DFS) between groups. Propensity score matching (PSM) method was used to reduce bias. The least absolute shrinkage and selection operator (LASSO)-penalized Cox multivariable analysis was used to identify the prognostic factors. Results: A total of 4,102 eligible cases were included in this study. The rate of patients with a prior cancer was 8.2% (338/4,102). Patients with a prior cancer tended to be younger and have early-stage tumors when compared with those without prior cancer. Before PSM, the survivals of the patients with a prior cancer were similar to those of the patients without prior cancer (OS: P = 0.591; DFS: P = 0.847). After PSM, patients with a prior cancer and those without prior cancer still had comparable survival rates (OS: P = 0.126; DFS: P = 0.054). The LASSO-penalized multivariable Cox analysis further confirmed that a prior cancer history was not a prognostic factor for both OS and DFS. Conclusions: A prior cancer history was not associated with resected NSCLC patients’ survivals, and we proposed that it might be reasonable for clinical trials to enroll the NSCLC patients with a prior cancer.

Cite

CITATION STYLE

APA

Cai, J. S., Li, Y., & Wang, X. (2023). Is prior cancer history a hindrance for non-small cell lung cancer patients to participate in clinical trials? BMC Cancer, 23(1). https://doi.org/10.1186/s12885-023-10551-9

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free