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


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.

SUBMITTER: Cai JS 

PROVIDER: S-EPMC9930244 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature

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

Cai Jing-Sheng JS   Li Yun Y   Wang Xun X  

BMC cancer 20230215 1


<h4>Background</h4>This study aimed to explore the effect of a prior cancer history on the survivals of resected non-small cell lung cancer (NSCLC) patients.<h4>Methods</h4>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  ...[more]

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