RESUMO
Background: Inflammation is not only involved in the development and progression of cancer but also affects the response to therapy. The aim of this study was to investigate the association of single nucleotide polymorphisms (SNPs) in inflammation genes with the prognosis of advanced non-small cell lung cancer (NSCLC) patients treated with epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs). Methods: Forty-seven SNPs were genotyped in 318 advanced NSCLC patients receiving EGFR-TKIs. Of 318 patients, 182 (57.2%) patients died during follow-up period. We assessed the association of SNPs with the progression-free survival (PFS) and overall survival (OS) as well as calculated the weighted genetic risk score (GRS). We also explored the expression levels and prognostic values of inflammation genes in lung adenocarcinoma (LUAD) in Gene Expression Profiling Interactive Analysis (GEPIA) and using UCSC Xena, respectively. The relationship between the expression levels of IL15, IL17RA, AGER, MIF, and TNFRSF1A and EGFR mutation status was analyzed using UCSC Xena. Results: In single variant analyses, 3 SNPs (rs10519613, rs4819554, and rs4149570) were significantly associated with worse PFS. Five SNPs (rs10519613, rs4819554, rs2070600, rs755622, and rs4149570) were significantly with worse OS. In addition, high and intermediate GRSs (based on rs10519613, rs4819554, and rs4149570) were associated with worse PFS than those with low GRS. For OS, patients with high GRSs (based on rs10519613, rs4819554, rs2070600, rs755622, and rs4149570) had shorter survival time than those with low GRS. Furthermore, IL15, IL17RA, AGER, MIF, and TNFRSF1A were dysregulated in LUAD. There was difference in the expression level of TNFRSF1A between EGFR wildtype and EGFR-mutant LUAD. Both low AGER expression and high TNFRSF1A expression were significantly associated with worse PFS in LUAD. In addition, low IL17RA and AGER expression, high MIF and TNFRSF1A expression were significantly associated with worse OS in LUAD. Conclusion: SNPs in inflammation genes could serve as prognostic biomarkers for NSCLC patients treated with EGFR-TKIs.
RESUMO
A new method for targeting lung infections is of great interest using biodegradable nanoparticles. In this study, bergenin-loaded BSA NPs were developed against lung injury. Briefly, bergenin-loaded bovine serum albumin nanoparticles (BG@BSA NPs) were synthesized and characterized. HPLC recorded the major peak of bergenin. UV-Vis spectra had an absorbance at 376 nm. XRD revealed the presence of crystalline particles. FTIR confirmed the occurrence of functionalized molecules in the synthesized NPs. The particles were highly stable with a net negative charge of - 24.2. The morphology of NPs was determined by SEM and TEM. The mean particle size was 124.26 nm. The production of NO by NR8383 cells was decreased by BG@BSA NPs. Also, in mice, lipopolysaccharide-mediated acute lung inflammation was induced. BG@BSA NPs reduced macrophages and neutrophils in BALF and remarkably enhanced wet weight-to-dry weight (W/D) ratios and myeloperoxidase (MPO) activity. Further, BG@BSA NPs inhibited the production of inflammatory cells as well as tumor necrosis factor. The histopathological studies revealed that the damage and neutrophil infiltration were greatly inhibited by BG@BSA NPs. This indicates that BG@BSA NPs may be used to treat lung infections. Therefore, this study has given new insight into producing an active drug for the treatment of lung-associated diseases in the future.
