PD-L1 Immunohistochemistry Comparability and Their Correlation with Clinical Characteristics in NSCLC

Which Is More Suitable for First-Line Treatment of Extensive-Stage Small Cell Lung Cancer, PD-L1 Inhibitors Versus PD-1 Inhibitors? A Systematic Review and Network Meta-Analysis

BACKGROUND

In this network meta-analysis (NMA), the efficiency and safety of PD-1 inhibitors + chemotherapy and PD-L1 inhibitors + chemotherapy were compared in the first-line therapy of patients with extensive-stage small cell lung cancer (ES-SCLC).

METHODS

We searched research databases, conference abstracts, and trial registries and subsequently chose relevant studies and extracted dates. The NMA was conducted to estimate the efficiency and safety of the PD-1 inhibitors + chemotherapy and PD-L1 inhibitors + chemotherapy on overall survival (OS), progression-free survival (PFS), overall remission rate (ORR), and adverse events (AEs). Studies were assessed for quality. Subgroup analyses were used to evaluate study heterogeneity.

RESULTS

We included six randomized trials with a total of 3163 patients. Direct comparisons showed that patients who received either PD-1 inhibitors + chemotherapy (HR: 0.71, 95% CI: 0.57-0.87) or PD-L1 inhibitors + chemotherapy (HR: 0.74, 0.61-0.89) demonstrated significantly longer OS than those who received placebo + chemotherapy. The results of the NMA showed that no significant differences in OS (HR 0.96 95% CI: 0.72-1.3), PFS (HR 0.83, 95% CI: 0.51-1.4), and ORR (OR 1.3 95% CI: 0.66-2.5) were observed for PD-1 inhibitors + chemotherapy compared with PD-L1 inhibitors + chemotherapy, but the Bayesian ranking revealed that patients receiving PD-1 inhibitors + chemotherapy tended to have longer OS, PFS benefit, and better treatment response than patients receiving PD-L1 inhibitors + chemotherapy. In terms of safety, no significant difference was observed in their safety profiles.

CONCLUSION

In comparison to placebo + chemotherapy, PD-L1 inhibitors + chemotherapy and PD-1 inhibitors + chemotherapy significantly improved survival for ES-SCLC. According to the available data, PD-L1 inhibitors + chemotherapy and PD-1 inhibitors + chemotherapy had equivalent efficacy and safety; however, the level of evidence of this type of comparison is limited.

The Expression and Prognostic Significance of ICOS in NSCLC Integrated Pan-Cancer and Multi-Omics Analyses

Background: Inducible co-stimulator (ICOS) shows great potential in the regulation of innate and adaptive immunity. However, previous studies of ICOS have often been limited to one or two levels. Methods: Using the data from the online database, the immunohistochemistry, and enzyme-linked immunosorbent assays, we investigated the role of ICOS / PD-L1 on patients with NSCLC at the mRNA, protein, and serum levels. Results: Our data revealed that unlike most solid tumors, the mRNA expression of ICOS was down-regulated in NSCLC. In addition, our data also showed that mRNA expression levels in ICOS are negatively associated with poor clinicopathologic grading but positively associated with better prognostic outcomes and higher Tregs infiltration level. Immunohistochemistry showed that ICOS correlated negatively with the T stage; while PD-L1 levels correlated positively with the N stage and FOXP3 levels. Serological biomarker analysis showed that patients with NSCLC had lower sICOS levels, which increased significantly post-surgery, and combined sICOS and sPD-L1 diagnosis improved efficacy and accuracy of disease diagnosis. Conclusion: Our findings support that ICOS suggests lower pathological staging and better prognosis. ICOS is a potential diagnostic and prognostic biomarker for NSCLC.

TMSB4X: A novel prognostic marker for non-small cell lung cancer

Non-small cell lung cancer (NSCLC), as the main type of lung cancer, has a long history of high incidence and mortality. Despite the continuous updates to the American Joint Committee on Cancer (AJCC) staging system, which adapt to evolving treatment modalities and diagnostic advancements, it is evident that patients at the same stage exhibit varying prognoses. The heterogeneity of tumors underscores the need for molecular diagnostics to assume a pivotal role in tumor staging and patient stratification. In our investigation, we meticulously analyzed the data of the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database, incorporating clinical patients and scrutinizing pathological specimens. Through this comprehensive approach, we established a correlation between the expression of the Thymosin beta 4 X-linked (TMSB4X) gene and poorer disease-free survival (DFS) and overall survival (OS) post-surgery. Compared to the TMSB4X positive expression group, patients in the negative expression group had a better prognosis, with longer DFS (median disease-free survival (median DFS): 16.2 months vs. 11.3 months, P = 0.032) and OS (median overall survival (mOS): 29.8 months vs. 18.5 months, P = 0.033). Furthermore, our findings suggest that TMSB4X may facilitate immune evasion in non-small cell lung cancer cells by influencing the activation of infiltrating dendritic cells (DCs) in tumor infiltrating immune cells (TIICs) (R = 0.27, P = 4.8E+08). In summary, TMSB4X emerges as an unfavorable prognostic factor for NSCLC, potentially modulating the tumor immune microenvironment through its regulatory impact on dendritic cell function, thus facilitating tumor immune escape.

Evaluation of PD-L1 Expression Level in Patients With Non-Small Cell Lung Cancer by 18F-FDG PET/CT Radiomics and Clinicopathological Characteristics

PURPOSE

In the present study, we aimed to evaluate the expression of programmed death-ligand 1 (PD-L1) in patients with non-small cell lung cancer (NSCLC) by radiomic features of 18F-FDG PET/CT and clinicopathological characteristics.

METHODS

A total 255 NSCLC patients (training cohort: n = 170; validation cohort: n = 85) were retrospectively enrolled in the present study. A total of 80 radiomic features were extracted from pretreatment 18F-FDG PET/CT images. Clinicopathologic features were compared between the two cohorts. The least absolute shrinkage and selection operator (LASSO) regression was used to select the most useful prognostic features in the training cohort. Radiomics signature and clinicopathologic risk factors were incorporated to develop a prediction model by using multivariable logistic regression analysis. The receiver operating characteristic (ROC) curve was used to assess the prognostic factors.

RESULTS

A total of 80 radiomic features were extracted in the training dataset. In the univariate analysis, the expression of PD-L1 in lung tumors was significantly correlated with the radiomic signature, histologic type, Ki-67, SUVmax, MTV, and TLG (p< 0.05, respectively). However, the expression of PD-L1 was not correlated with age, TNM stage, and history of smoking (p> 0.05). Moreover, the prediction model for PD-L1 expression level over 1% and 50% that combined the radiomic signature and clinicopathologic features resulted in an area under the curve (AUC) of 0.762 and 0.814, respectively.

CONCLUSIONS

A prediction model based on PET/CT images and clinicopathological characteristics provided a novel strategy for clinicians to screen the NSCLC patients who could benefit from the anti-PD-L1 immunotherapy.