Published online Aug 6, 2022. doi: 10.12998/wjcc.v10.i22.7772
Peer-review started: February 28, 2022
First decision: May 11, 2022
Revised: May 19, 2022
Accepted: June 17, 2022
Article in press: June 17, 2022
Published online: August 6, 2022
Processing time: 143 Days and 23.2 Hours
Among all malignant tumor types, non-small cell lung cancer (NSCLC) has the highest incidence rate and mortality.
To investigate the effect of simultaneous polygenic abnormalities on the prognosis and survival of NSCLC patients.
To study the effect of polygene mutation and abnormal expression on the prognosis and survival of patients with non-small cell lung cancer.
We used R packages to analyze gene expression data and clinical data downloaded from The Cancer Genome Atlas (TCGA) database. We also collected samples from 85 NSCLC patients from the First People’s Hospital of Jingzhou City and retrospectively followed the patients. Multivariate Cox regression analysis and survival analysis were performed.
The probability of multiple genes (TP53, PTEN, RB1, and STK11) affecting survival was 0.025. Retrospective analysis of clinical data revealed that sex (hazard ratio [HR] = 1.29), age (HR = 1.05), smoking status (HR = 2.26), tumor histology (HR = 0.58), cancer stage (HR = 16.63), epidermal growth factor receptor (EGFR) mutation (HR = 1.82), abundance (HR = 4.95), and treatment with tyrosine kinase inhibitors (TKIs) (HR = 0.58) affected patient survival. Co-occurring mutation of TP53, PTEN, RB1, and STK11 did not significantly affect the overall survival of patients receiving chemotherapy (P = 0.96) but significantly affected the overall survival of patients receiving TKIs (P = 0.045).
Co-mutation or overexpression of different genes has different effects on the overall survival and prognosis of NSCLC patients. Combined with TKI treatment, the co-mutations of some genes may have a synergistic effect on the survival and prognosis of NSCLC patients.
In the future, the development of new molecular targeted drugs will help deal with the heterogeneity of different mutant subtypes.