Characterization of the immune cell infiltration landscape in lung adenocarcinoma.

Immune checkpoint inhibitors (ICIs) have played an important role in the treatment of lung adenocarcinoma (LUAD). However, their effectiveness is limited, and many patients exhibit a weak response. In this study, we propose a new and more effective immunophenotyping method for evaluating the prognosis and tumor microenvironment (TME) cellular infiltration characteristics in LUAD patients and their response to immunotherapy. Based on the transcriptomic and prognostic data of 584 patients with LUAD collected from TCGA cohort and GEO dataset, we combined tumor immune infiltration, the TME, and immune-related genes to score each sample using principal component analysis (PCA) and divided the patients into two subgroups with high and low tumor immune infiltration (TII) scores. The high-TII score group was characterized by increased immune activation and apoptosis signaling pathways. Moreover, clinical subgroup analysis demonstrated that the TII immune score was also applicable to different clinical groups and the high-TII score group still exhibited good prognosis and better response to ICIs. This study mapped the TII landscape in LUAD patients and confirmed that the TII score is helpful for predicting patient response to immunotherapy and may guide more effective immunotherapeutic strategies.

Overexpression of LncRNA GHET1 predicts an unfavourable survival and clinical parameters of patients in various cancers.

Recently, increasing studies have reported that long non-coding RNA (lncRNA) gastric carcinoma highly expressed transcript 1 (GHET1) is highly expressed in variety of cancers and relevant to poor prognosis of cancer patients. Nevertheless, the results were inconsistent and the systematic analysis of lncRNA GHET1 in cancers has not been inspected. Thus, we aim to evaluate the relationship between lncRNA GHET1 expression and clinical outcomes in human cancers. We searched keywords in PubMed, Web of Science, Embase, Cochrane Library and ClinicalTrial.gov. Stata SE12.0 software was used in the quantitative meta-analysis. Pooled hazard ratio (HR) and odds ratio with 95% confidence interval (95% Cl) were calculated to evaluate the clinical significance of lncRNA GHET1. Twelve studies totalling 761 patients with cancers were included for analysis. The pooled results of this study indicated that high lncRNA GHET1 expression level was significantly associated with poor overall survival (OS, HR = 2.30, 95% CI: 1.75-3.02) in human cancers. The statistical significance was also detected in subgroup analysis stratified by analysis method, cancer type, sample size and follow-up time respectively. In addition, the elevated lncRNA GHET1 expression was also significantly related to more advanced clinical stage, earlier lymph node metastasis, earlier distant metastasis and bigger tumour size. LncRNA GHET1 may serve as a promising biomarker for prognosis in Asians with cancers.