Effect on Non-Small Cell Lung Cancer after Combination of Driver Gene Mutations and Anti-PD -1/PD-L1 Immunotherapy as Well as Chemotherapy
Abstract
Background: We aimed to reveal the correlation between pathological indicators and PD-L1, between gene mutation status in lung cancer through clinico-pathological data and lung cancer-related gene mutation and PD-L1 expression analysis.
Methods: The study was conducted in . PD-L1 testing and targeted gene mutations detection were evaluated. The clinical characteristics of these non-small cell lung cancer (NSCLC) samples have been obtained. The groups were grouped according to clinico-pathological features and PD-L1 expression (Yes/No or High/Low), and the clinico-pathological and genetic and molecular features and correlation with PD-L1 expression were compared across the above groups. Comparisons and analyses were made between different treatment schemes.
Results: Lung adenocarcinoma (LUAD, n=142) and lung squamous carcinoma (LUSC, n=143) samples were enrolled (median age: 64 years old). Pleural invasion and M staging were significantly different from PD-L1 alterations (P<0.05). The percentage of patients with PD-L1 tumor proportion score (TPS)≥50% was 36.24% and the percentage of patients with PD-L1 TPS<50% was 29.53%. The percentage of patients with PD-L1 high-expressed and treated by immunotherapy was 75.93% and 63.41% experienced Partial Response/Complete Response. The mutations ratio of EGFR, ALK, KRAS, MET, RET and TP53 were 28.86%, 1.34%, 6.04%, 0.67%, 1.34% and 0.67%, respectively. KRAS mutation was significantly different from PD-L1 alterations (P<0.01).
Conclusion: There are individual differences in PD-L1 expression, which can also vary depending on the different clinical features. Specific molecular features correlate with differential PD-L1 expression and may influence the response to therapy.
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Issue | Vol 53 No 8 (2024) | |
Section | Original Article(s) | |
DOI | https://doi.org/10.18502/ijph.v53i8.16280 | |
Keywords | ||
Non-small cell lung cancer (NSCLC) Gene mutations Prognostic analysis Immunotherapy |
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