Construction of a non-negative matrix factorization model of immunogenic cell death-related genes in lung adenocarcinoma and analysis of survival prognosis.

Purpose: To explore the effectiveness of the model based on non-negative matrix factorization (NMF), analyze the tumor microenvironment and immune microenvironment for evaluating the prognosis of lung adenocarcinoma, establish a risk model, and screen independent prognostic factors. Methods: Downloading the transcription data files and clinical information files of lung adenocarcinoma from TCGA database and GO database, the R software was used to establish the NMF cluster model, and then the survival analysis between groups, tumor microenvironment analysis, and immune microenvironment analysis was performed according to the NMF cluster result. R software was used to construct prognostic models and calculate risk scores. Survival analysis was used to compare survival differences between different risk score groups. Results: Two ICD subgroups were established according to the NMF model. The survival of the ICD low-expression subgroup was better than that of the ICD high-expression subgroup. Univariate COX analysis screened out HSP90AA1, IL1, and NT5E as prognostic genes, and the prognostic model established on this basis has clinical guiding significance. Conclusion: The model based on NMF has the prognostic ability for lung adenocarcinoma, and the prognostic model of ICD-related genes has a certain guiding significance for survival.

Prevalence and correlation of anxiety and depression on the prognosis of postoperative non-small-cell lung cancer patients in North China.

Identify the prevalence of postoperative anxiety and depression as well as their correlations with clinical features and survival profiles in non-small-cell lung cancer (NSCLC) patients who underwent resection.Four hundred NSCLC patients who underwent resection were recruited, and their anxiety and depression were assessed by hospital anxiety and depression scale (HADS) at discharge after surgery. Besides, 480 healthy controls (HCs) were also enrolled and assessed by HADS.The HADS-Anxiety score of NSCLC patients (7.8 ±â€Š3.9) was greatly higher than that of HCs (4.8 ±â€Š2.7), and the anxiety prevalence of NSCLC patients (49.6%) were dramatically increased compared with HCs (13.8%). Furthermore, the HADS-Depression score (7.2 ±â€Š3.6) of NSCLC patients was considerably increased compared with HCs (4.2 ±â€Š2.6), and the depression prevalence of NSCLC patients (38.3%) was significantly raised compared with HCs (10.0%). Besides, anxiety correlated with gender, marital status, hypertension, diabetes, pathological differentiation, tumor size, lymph node metastasis, TNM stage and carcinoembryonic antigen level, meanwhile, depression correlated with marital status, employment status before surgery, diabetes, pathological differentiation, and TNM stage in NSCLC patients. Additionally, the anxiety and depression predicted shorter disease-free survival in NSCLC patients. And the anxiety predicted worse overall survival (OS), while no association of depression with OS was observed in NSCLC patients.Post-operative anxiety and depression are highly prevalent and implicated in the ongoing care and prognosis prediction in NSCLC patients who underwent resection.

Quantitative assessment of the effects of MMP-2 polymorphisms on lung carcinoma risk.

BACKGROUND: Previous studies assessing associations between matrix metalloproteinase 2 (MMP-2) polymorphisms and lung cancer risk reported conflicting results. A meta-analysis was therefore performed to derive a more precise estimation. METHOD: Case-control studies assessing associations between MMP-2 C735T and C1306T polymorphisms and lung cancer risk were included. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were estimated. RESULTS: 7 studies with a total of 3,189 lung cancer cases and 3,013 controls were finally included into this meta-analysis. Overall, the MMP-2 C735T polymorphism was associated with lung cancer risk under the homozygote model (CC versus TT: OR =1.44, 95% CI = 1.03-2.02, I2 = 0%), while the MMP- 2 C1306T polymorphism also associated demonstrated links with all four models (all P values less than 0.05). Subgroup analyses by race suggested obvious associations between MMP-2 C735T and C1306T polymorphisms and lung cancer risk in Asians but not in Caucasians. There was no evidence for publication bias. CONCLUSION: Currently available evidence supports teh conclusion that MMP-2 C735T and C1306T polymorphisms influence susceptibility to lung cancer in Asians.