A retrospective analysis of eleven gene mutations, PD-L1 expression and clinicopathological characteristics in non-small cell lung cancer patients.

To investigate the associations among expression of programmed cell death ligand 1 (PD-L1), eleven mutated genes, and clinicopathological characteristics in 273 patients with non-small cell lung cancer (NSCLC). We retrospectively examined tumor PD-L1 expression in 247 surgically resected primary and 26 advanced NSCLC patients by immunohistochemistry using SP263 antibody assay. Gene mutations of EGFR, TP53, KRAS, PIK3CA, ERBB2, MET, RET, ALK, BRAF, ROS1, and APC were examined by NGS sequence. Data analysis was carried out using SPSS 22.0. The associations among PD-L1 expression, eleven mutated genes and clinicopathological characteristics were assessed by univariate and multivariate analysis. Among the total 273 patients, 68 (24.9%) patients were positive for PD-L1 expression. Data showed that mutated rate of EGFR gene was the highest with 63.0% (172/273), followed by TP53 (11.7%, 32/273) and KRAS (5.5%, 15/273). The female, non-smoker, and patients with adenocarcinoma (ADC) were more likely to have EGFR mutations. Multivariate logistic regression showed that PD-L1 expression was significantly associated with Non-ADC, lymphatic invasion, EGFR wild type and TP53 mutation (p = 0.041, <0.001, 0.004 and 0.014, respectively). Moreover, PD-L1 expression in adenocarcinoma was associated with lymphatic invasion, mutation of TP53 and KRAS gene (p = 0.012, <0.025 and 0.041, respectively). Mutations of EGFR, KRAS and TP53 should be routinely detected in clinical practice to better guide the immunotherapy for NSCLC patients. Future investigations are warranted to illustrate the potential mechanisms between driver mutations and PD-L1 expression for guiding immunotherapy in patients with NSCLC.

Liu Y ，Wu A ，Li X ，Wang S ，Fang S ，Mo Y ... -  《-》

Molecular diagnostic characteristics based on the next generation sequencing in lung cancer and its relationship with the expression of PD-L1.

Next generation sequencing (NGS) is a massively parallel sequencing technique that can be used to detect many forms of DNA variation, including point mutations, small fragment insertion deletions, gene recombination, and copy number variations. It can simultaneously analyze multiple genes and mutations, quantitatively detect gene mutation rate, and provide comprehensive information for clinicians. More and more lung cancer patients have benefited from studies on programmed death-1igand l (PD-L1) and immunocheckpoint inhibitors. The relationship between gene mutation and PD-L1 is also a focus of current research. Therefore, we collected a large number of cases to describe the molecular diagnostic characteristics of NGS in lung cancer and the relationship between NGS and PD-L1 expression. A total of 1017 lung cancer patients with 15-gene panel (EGFR, ALK, ROS1, BRAF, MET, RET, ERBB2, KRAS, PIK3CA, KIT, ESR1, PDGFRA, DDR2, HRAS, NRAS) examined by NGS from our hospital were collected to analyze their clinicopathological characteristics. 600 of 1017 patients were tested for PD-L1 (22C3) by immunohistochemistry (IHC) at the same time. PD-L1 tumor proportion score (TPS) were used for comparative analysis with gene mutation results, and then to screen for possible correlation genes. 74.63 % (759/1017) of lung cancer patients had at least one version of the genes. The top three mutation were EGFR (46.41 %), KRAS (13.86 %) and PIK3CA (10.03 %). Mutations in EGFR, KRAS, PIK3CA, KIT, ESR1 and NRAS were associated with sex (P < 0.05). Except for EGFR, which was more frequent in female, other genes were more frequent in male. ALK was more detectable in patients younger than 60, while PIK3CA was more detectable in patients older than 60(P < 0.05). EGFR, ALK, ROS1, KRAS, PIK3CA, ESR1 and NRAS were associated with smoking (P < 0.05). EGFR, KRAS, PIK3CA and ESR1 were correlated with pathological histology (P < 0.05). Among the 15 genes, only EGFR was associated with pathological histology of invasive adenocarcinoma (IA). EGFR had the highest mutation rate (60.00 %) in Lepidic predominate IA. Significantly different in sample types were found in EGFR, ALK, MET, KRAS, PIK3CA and NRAS examined by NGS. There were significant differences in the TPS of PD-L1 (22C3) in EGFR, ALK, BRAF and MET variants (P < 0.05). EGFR mutations were more common in TPS < 1 %, ALK mutations were more common in TPS (1 %-49 %), and BRAF and MET mutations were more common in TPS ≥ 50 %. In the 15-gene panel, in addition to EGFR, ALK and ROS1, MET, KRAS, PIK3CA, KIT, ESR1 and NRAS also had their own characteristics in sex, age, smoking history, histopathology, sample type and PD-L1, showing different clinicopathological tendencies. Understanding this information can help us optimize stratified lung cancer patients. Furthermore, it provides patients with a variety of diagnostic needs and a large number of unique clinical data worthy of clinical recognition.

Liu J ，Liu Y 《-》

Comprehensive molecular analysis of driver mutations in non-small cell lung carcinomas and its correlation with PD-L1 expression, An Indian perspective.

Aggarwal A ，Sharma S ，Brar Z ，Kumar V ，Kumar A ，Katara R ，Mohanty SK ... -  《-》

Integration of comprehensive genomic profiling, tumor mutational burden, and PD-L1 expression to identify novel biomarkers of immunotherapy in non-small cell lung cancer.

This study aimed to explore the novel biomarkers for immune checkpoint inhibitor (ICI) responses in non-small cell lung cancer (NSCLC) by integrating genomic profiling, tumor mutational burden (TMB), and expression of programmed death receptor 1 ligand (PD-L1). Tumor and blood samples from 637 Chinese patients with NSCLC were collected for targeted panel sequencing. Genomic alterations, including single nucleotide variations, insertions/deletions, copy number variations, and gene rearrangements, were assessed and TMB was computed. TMB-high (TMB-H) was defined as ≥10 mutations/Mb. PD-L1 positivity was defined as ≥1% tumor cells with membranous staining. Genomic data and ICI outcomes of 240 patients with NSCLC were derived from cBioPortal. EGFR-sensitizing mutations, ALK, RET, and ROS1 rearrangements were associated with lower TMB and PD-L1+/TMB-H proportions, whereas KRAS, ALK, RET, and ROS1 substitutions/indels correlated with higher TMB and PD-L1+/TMB-H proportions than wild-type genotypes. Histone-lysine N-methyltransferase 2 (KMT2) family members (KMT2A, KMT2C, and KMT2D) were frequently mutated in NSCLC tumors, and these mutations were associated with higher TMB and PD-L1 expression, as well as higher PD-L1+/TMB-H proportions. Specifically, patients with KMT2C mutations had higher TMB and PD-L1+/TMB-H proportions than wild-type patients. The median progression-free survival (PFS) was 5.47 months (95% CI 2.5-NA) in patients with KMT2C mutations versus 3.17 months (95% CI 2.6-4.27) in wild-type patients (p = 0.058). Furthermore, in patients with NSCLC who underwent ICI treatment, patients with TP53/KMT2C co-mutations had significantly longer PFS and greater durable clinical benefit (HR: 0.48, 95% CI: 0.24-0.94, p = 0.033). TP53 mutation combined with KMT2C or KRAS mutation was a better biomarker with expanded population benefit from ICIs therapy and increased the predictive power (HR: 0.46, 95% CI: 0.26-0.81, p = 0.007). We found that tumors with different alterations in actionable target genes had variable expression of PD-L1 and TMB in NSCLC. TP53/KMT2C co-mutation might serve as a predictive biomarker for ICI responses in NSCLC. Cancer immunotherapies, especially immune checkpoint inhibitors (ICIs), have revolutionized the treatment of non-small cell lung cancer (NSCLC); however, only a proportion of patients derive durable responses to this treatment. Biomarkers with greater accuracy are highly needed. In total, 637 Chinese patients with NSCLC were analyzed using next-generation sequencing and IHC to characterize the unique features of genomic alterations and TMB and PD-L1 expression. Our study demonstrated that KMT2C/TP53 co-mutation might be an accurate, cost-effective, and reliable biomarker to predict responses to PD-1 blockade therapy in NSCLC patients and that adding KRAS to the biomarker combination creates a more robust parameter to identify the best responders to ICI therapy.

Shi Y ，Lei Y ，Liu L ，Zhang S ，Wang W ，Zhao J ，Zhao S ，Dong X ，Yao M ，Wang K ，Zhou Q ... -  《Cancer Medicine》

Programmed death-ligand 1 expression associated with molecular characteristics in surgically resected lung adenocarcinoma.

Song Z ，Yu X ，Cheng G ，Zhang Y ... -  《Journal of Translational Medicine》