Purpose To investigate the prognostic utility of the prognostic nutritional index (PNI) in stage IIIB non-small-cell lung carcinoma (NSCLC) patients undergoing concurrent chemoradiotherapy (CRT). Methods A total of 358 stage IIIB NSCLC patients who received a total dose of 60-66 Gy (2 Gy/fraction) radiotherapy and ≥1 cycle(s) of platinum-based chemotherapy were analyzed. The receiver operating curve analysis was utilized to identify the optimal PNI cut-off value demonstrating a significant connection with the overall survival (OS), locoregional progression-free survival (LRPFS), and progression-free survival (PFS). Results At a median follow-up time of 22.5 months (range 2.4-123.5), 30.2% and 14% of the patients were still alive and free of disease progression, respectively.The median OS, LRPFS, and PFS were 25.2 [95% confidence interval (CI) 36.3-46.6 months], 15.4 (95% CI 26.6-35.3 months), and 10.7 (95% CI 36.8-69.9 months), individually, for the whole study accomplice. The ROC analysis revealed an optimum rounded cut-off that associated meaningfully with each of the OS [area under the curve (AUC) 84.1%; sensitivity 75.9%;72.4% specificity], LRPFS (AUC 92.4%; sensitivity 87.9%; 85.1% specificity), and PFS (AUC 80.1%; sensitivity 73.7%; 71.6% specificity) at a value of 40.5. Comparative analyses revealed that the patients presenting with PNI≤40.5 had significantly inferior OS (16.8 vs 36.7; P40.5; P less then 0.001) were the factors found to be associated with OS, LRPFS and PFS results. The results of multivariate analysis exhibited that the PNI was independently associated with each of the OS (P less then 0.001), LRPFS (P less then 0.001), and PFS (P less then 0.001) outcomes. Conclusion The pretreatment PNI appears to be a robust novel prognostic factor that stratifies patients with stage IIIB NSCLC into two significantly distinct survival groups after CRT. © 2020 Ozdemir et al.Objective The disease complexity of metastatic non-small-cell lung cancer (mNSCLC) makes it difficult for physicians to make clinical decisions efficiently and accurately. The Watson for Oncology (WFO) system of artificial intelligence might help physicians by providing fast and precise treatment regimens.  https://www.selleckchem.com/products/e-7386.html  This study measured the concordance of the medical treatment regimens of the WFO system and actual clinical regimens, with the aim of determining the suitability of WFO recommendations for Chinese patients with mNSCLC. Methods Retrospective data of mNSCLC patients were input to the WFO, which generated a treatment regimen (WFO regimen). The actual regimen was made by physicians in a medical team for patients (medical-team regimen). The factors influencing the consistency of the two treatment options were analyzed by univariate and multivariate analyses. Results The concordance rate was 85.16% between the WFO and medical-team regimens for mNSCLC patients. Logistic regression showed that the concordance differed significantly for various pathological types and gene mutations in two treatment regimens. Patients with adenocarcinoma had a lower rate of "recommended" regimen than those with squamous cell carcinoma. There was a statistically significant difference in EGFR-mutant patients for "not recommended" regimens with inconsistency rate of 18.75%. In conclusion, the WFO regimen has 85.16% consistency rate with medical-team regimen in our treatment center. The different pathological type and different gene mutation markedly influenced the agreement rate of the two treatment regimens. Conclusion WFO recommendations have high applicability to mNSCLC patients in our hospital. This study demonstrates that the valuable WFO system may assist the doctors better to determine the accurate and effective treatment regimens for mNSCLC patients in the Chinese medical setting. © 2020 You et al.Background The most common cancer among humans is lung cancer. Non-small cell lung cancer (NSCLC) comprises the majority of these cases. In the development and progression of cancers across the spectrum, tumor abnormal protein (TAP) plays crucial roles. Additionally, in the advancement of the bladder and colorectal cancers, the involvement of glycoproteins like TAP is present. However, it is worth noting that current literature has yet to clarify the clinical significance of the TAP in NSCLC. Methods In the present study, to evaluate the relative level of TAP, we utilized a TAP detection agent in 154 cases of NSCLC and normal patients who underwent surgical resection anytime from March 2013 to January 2019 at the People's Hospital of Chizhou. Results Our results demonstrated that in NSCLC patients, the expression level of TAP was significantly higher than in normal patients. Moreover, after surgery, TAP expression was significantly downregulated in NSCLC patients. TAP expression is associated with an array of factors, which include the patient's sex, history of smoking use, tumor size, pTNM, distant cancer, metastasis of lymph nodes, invasive and aggressive indicator pleural invasion, and differentiation degree of NSCLC. Additionally, TAP has no association with the patient's age, history of drinking, location of the tumor, hypertension, and diabetes. In NSCLC patients, a poor overall survival rate within 5 years is significantly correlated with the increased TAP expression. For NSCLC patients, an independent prognostic factor is the TAP, which is confirmed using the multivariate survival analysis. Conclusion In the malignant progression of NSCLC, our results demonstrate how the promoting role of the upregulated TAP expression takes place. Hence, a therapeutic aim for NSCLC and a potential biomarker for NSCLC progress is a TAP. © 2020 Cheng et al.Background Many studies showed that long non-coding RNA MALAT1 is served as an oncogene. However, the specific role of MALAT1 in gastric cancer is not fully elucidated. The aim of this study is to elucidate the regulatory effects of MALAT1 on tumor development and cisplatin resistance in gastric cancer. Methods TCGA database was applied to investigate the expression levels of MALAT1 in GC tissues and normal gastric tissues and its correlation with GC patients' survival. Univariate and multivariate analysis were performed to investigate whether MALAT1 expression is an independent risk for overall survival of gastric cancer patients. The expression of MALAT1 was detected by Quantitative real-time PCR. After knockdown or overexpression of MALAT1, the cellular functions of GC cells were detected by cell-proliferation, flow cytometry, transwell assay and colony formation assays, respectively. Western blot analysis was performed to detect the protein levels of Bcl-2 and key genes in the PI3K/AKT pathway in GC cells.