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Objective: This paper aimed to investigate the PI3K/Akt/mTOR signal-pathway regulator factor-related lncRNA signatures (PAM-SRFLncSigs), associated with regulators of the indicated signaling pathway in patients with lung adenocarcinoma (LUAD) undergoing immunotherapy., Materials and Methods: In this retrospective study, we employed univariate Cox, multivariate Cox, and least absolute shrinkage and selection operator (LASSO) regression analyses to identify prognostically relevant long non-coding RNAs (lncRNAs), construct prognostic models, and perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. Subsequently, immunoassay and chemotherapy drug screening were conducted. Finally, the prognostic model was validated using the Imvigor210 cohort, and tumor stem cells were analyzed., Results: We identified seven prognosis-related lncRNAs ( AC084757.3, AC010999.2, LINC02802, AC026979.2, AC024896.1, LINC00941 and LINC01312 ). We also developed prognostic models to predict survival in patients with LUAD. KEGG enrichment analysis confirmed association of LUAD with the PI3K/Akt/mTOR signaling pathway. In the analysis of immune function pathways, we discovered three good prognostic pathways (Cytolytic_activity, Inflammation-promoting, T_cell_co-inhibition) in LUAD. Additionally, we screened 73 oncology chemotherapy drugs using the "pRRophetic" algorithm., Conclusion: Identification of seven lncRNAs linked to regulators of the PI3K/Akt/mTOR signaling pathway provided valuable insights into predicting the prognosis of LUAD, understanding the immune microenvironment and optimizing immunotherapy strategies.

Background/aims: Glucose-regulated protein 78 (GRP78), being a major chaperone, is implicated in the progression of hepatocellular carcinoma (HCC), and elevated GRP78 levels in tissues had been known to be related with poor prognosis in patients with HCC. In the present study, we investigated the possible association between the polymorphisms of haplotypic block in the 3' untranslated region (UTR) of GRP78 and HCC risk in a Han Chinese population., Methodology: DNA from 576 unrelated patients with HCC and 539 sex- and age-matched healthy controls was typed for rs16927997, rs1140763 and rs12009 in the GRP78 gene by TaqMan assays. Polymorphism distributions were computed by logistic regression to test the association of certain alleles, genotypes, haplotypes and diplotypes with HCC risk., Results: Linkage disequilibrium (LD) analysis identified a total of 3 haplotypes and 6 diplotypes in this region. The distributions of allelotype, genotype, haplotype and diplotype in HCC patients were not significantly different from that in controls., Conclusion: The present study suggested that polymorphisms in the 3' UTR of GRP78 were not useful diagnostic markers to predict the HCC risk.