Identification of a potential bioinformatics-based biomarker in keloids and its correlation with immune infiltration

Keloid formation is a pathological consequence resulting from cutaneous irritation and injury, primarily attributed to excessive collagen matrix deposition and fibrous tissue proliferation. Chronic inflammation, left uncontrolled over an extended period, also stands as a substantial contributing factor. The precise mechanisms underlying keloid formation remain unclear. Therefore, this study aimed to identify key genes for diagnostic purposes. To achieve this, we used two Gene Expression Omnibus (GEO) data sets to identify differentially expressed genes. We identified one particular gene, homeobox C9 (HOXC9), using a thorough strategy involving two algorithms (least absolute shrinkage and selection operator and support vector machine-recursive feature elimination) and weighted gene co-expression network analysis. We then assessed its expression in normal and keloid tissues. In addition, we explored its temporal expression patterns via Mfuzz time clustering analysis. In our comprehensive analysis, we observed that immune infiltration, as well as cell proliferation, are crucial to keloid formation. Thus, we investigated immune cell infiltration in the keloid and normal groups, as well as the correlation between HOXC9 and these immune cells. It was found that HOXC9 was closely associated with the immune microenvironment of keloids. This shows that HOXC9 can serve as a potential biomarker and therapeutic target for keloids.

Efficacy and safety of PD-1/PD-L1 inhibitors combined with CTLA-4 inhibitor versus chemotherapy for advanced lung cancer: A meta-analysis

BACKGROUND

This meta-analysis was performed to compare efficacy and tolerability between antiprogrammed cell death (PD-1)/programmed cell death-ligand-1 (PD-L1) + anticytotoxic T-lymphocyte-associated protein-4 (CTLA-4) treatment and chemotherapy in advanced lung cancer.

METHODS

Cochrane Library, Embase, and PubMed databases were searched for potential articles. The fixed-effect model or random-effect model was adopted for pooled analysis based on the I2 and P-value.

RESULTS

Six articles with 1338 patients were identified and subjected to meta-analysis. Compared with chemotherapy, anti-PD-1/PD-L1 + anti-CTLA-4 treatment could significantly improve the overall survival (hazard ratio [HR] = 0.78, 95%confidence interval [CI]: 0.71-0.84, P = .21) and progression-free survival (HR = 0.77, 95%CI: 0.71-0.83, P = .30) of advanced lung cancer patients. Moreover, there was no obvious difference in the incidence of 3 to 4 adverse events (AEs) serious adverse reactions (HR = 1.35, 95%CI: 0.66-2.74, P < .00001) between the 2 treatment groups, but the incidence rates of AEs leading to discontinuation (HR = 2.56, 95%CI: 1.53-4.30, P < .00001) and AEs leading to death (HR = 2.10, 95%CI: 1.21-3.63, P = .20) were higher. Furthermore, no remarkable differences in objective response rate (HR = 1.31, 95%CI: 0.97-1.77, P = .02) were observed between the 2 groups.

CONCLUSION

Our meta-analysis revealed that PD-1/PD-L1 inhibitors plus CTLA-4 inhibitor could markedly improve the endpoint outcomes of patients compared with chemotherapy alone, and did not significantly increase the serious adverse reactions. Thus, it can serve as a new treatment strategy for advanced lung cancer.