Association of pre-existing conditions with major driver mutations and PD-L1 expression in NSCLC

1Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.

Abstract

Objectives This study aims to explore how pre-existing conditions such as blood types, family history of cancer and comorbid diseases correlate with the genetic and programmed death-ligand 1 (PD-L1) expression that contributes to the heterogeneous biological behaviours of non-small cell lung cancer (NSCLC). Materials and methods A cohort of 5507 NSCLC patients who underwent surgical resection between January 2014 and July 2018 was studied. Targeted next-generation sequencing was used to detect mutations in nine pivotal cancer-related genes, and immunohistochemical staining was applied to assess PD-L1 expression. Logistic regression analysis was employed to identify significant correlations. Results All patients underwent NGS, with 1839 were also evaluated for PD-L1 expression. Several significant findings were found: ROS1 mutations were closely associated with a family history of lung cancer (OR 7.499, 95% CI 1.094 to 30.940, p=0.013). Epidermal growth factor receptor (EGFR) L858R mutations were common among patients with a family history of non-lung cancers and those with hypertension (OR 2.089, 95% CI 1.029 to 4.135, p=0.037 and OR 1.252, 95% CI 1.001 to 1.562, p=0.048, respectively). Pre-existing conditions such as diabetes and hepatitis B surface antigen positivity (OR 1.468, 95% CI 1.042 to 2.047, p=0.026 and OR 1.373, 95% CI 1.012 to 1.847, p=0.038, respectively) were correlated with EGFR exon 19 deletions. RhD negativity showed potential ties to BRAF mutations (OR 0.010, 95% CI 0.001 to 0.252, p=0.001). A history of tuberculosis linked to increased PD-L1 expression in immune cells (OR 3.597, 95% CI 1.295 to 14.957, p=0.034). Conclusion This large-scale, cross-sectional study reveals a complex interplay between genetic mutations, immunological features and pre-existing conditions in NSCLC patients, offering insights that could inform personalised treatment strategies.

Author supplied keywords

Cite

CITATION STYLE

APA

Chen, P., Zheng, X., Li, C., Li, J., Yang, C., Feng, Y., … Liang, W. (2024). Association of pre-existing conditions with major driver mutations and PD-L1 expression in NSCLC. BMJ Open Respiratory Research, 11(1). https://doi.org/10.1136/bmjresp-2024-002571

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