High GPX1 expression was marginally associated with poor prognosis in acute myeloid leukemia (AML). Gene regulation network suggested that GPX1 mainly involved in pathways including the glutathione metabolism, ferroptosis, TP53 regulates metabolic genes, reactive oxygen species (ROS) metabolic process, and several other signaling pathways. Conclusions Our findings revealed that GPX1 showed significant expression differences among cancers and served as a prognostic biomarker for defined cancer types. The data mining effectively revealed useful information about GPX1 expression, prognostic values, and potential functional networks in cancers, thus providing researchers with an available way to further explore the mechanism underlying carcinogenesis of genes of interest in different cancers. 2020 Annals of Translational Medicine. All rights reserved.Background To evaluate the efficacy of the nodal descriptors and subgroups proposed by International Association for the Study of Lung Cancer (IASLC) in the 8th edition of the TNM classification system and to provide references for future editions. Methods A total of 3,177 patients with non-small cell lung cancer at the Beijing Cancer Hospital were classified based on the following three methods (I) the N descriptors in the 8th edition of the TNM classification system N0, N1, N2, and N3; (II) the IASLC-proposed N subgroups N1a, N1b, N2a1, N2a2, and N2b; (III) our more extensive division method N1a, N1b, N1c, N2a1, N2a2, N2b1, N2b2, N2c, N3a, and N3b. Five-year survival analysis was performed using the Kaplan-Meier method, and differences between subgroups were evaluated using the log-rank test. Results (I) A significant survival difference was found between each adjacent N descriptor; (II) the difference between each adjacent subgroup N descriptor was significant, but the difference between N1b and N2a1 was not; (III) in our proposed method, a significant difference was found between all the subgroups apart from N2a2 and N2b1, N2b1 and N2b2, N2c and N3a, and N3a and N3b. Conclusions The N descriptors in the 8th edition of the tumor, node, and metastasis (TNM) classification system are consistent with our data. Although our more extensive division method could distinguish between patients at different stages, its implementation is complicated; thus, we recommend the implementation of the IASLC-proposed subgroups with the addition of the N1b and N2a1 groups. 2020 Annals of Translational Medicine. All rights reserved.Background A new revision of the tumor, node, metastasis (TNM) classification for lung cancer has been proposed by the International Association for the Study of Lung Cancer (IASLC), but external validation for it is required. This study aimed to evaluate stage groupings in the 8th edition of the TNM classification in an independent Chinese cohort. Methods We retrospectively analyzed 3,611 patients who were diagnosed as stage I to IV non-small cell lung cancer (NSCLC) and who received surgical treatment at our institute in China between October 2009 and August 2017. Long-rank tests were used to compare survival between two adjacent stage groups. Results Based on the 8th edition of the TNM classification, differences between every 2 adjacent stage groups were found to be significant except between Ia1 and Ia2 (P=0.062), and between IIIc and IVa (P=0.063). Significant differences were found between every 2 adjacent categories stratified by the T and N descriptors. Additionally, significant differences were found between M0 and M1a (P less then 0.001), while no significant difference was observed between M1a and M1b (P=0.092). Conclusions Our study provides an external validation of the stage groupings in the 8th edition of the TNM staging system in surgically treated Chinese patients with NSCLC. 2020 Annals of Translational Medicine. All rights reserved.Background The further progression of credible expression profiling analysis of genes continues to expand our understanding of the biological characteristics in lung cancer. In this study, RNA sequencing (RNA-Seq) was used to contrast the transcriptomics profiling of small cell lung cancer (SCLC) that acquired partial response (PR) and stable disease (SD)/progressive disease (PD) after first-line chemotherapy. We aimed to illuminate the underlying mechanisms of long noncoding RNAs (lncRNAs) and microRNAs (miRNAs) in the efficacy of SCLC first-line chemotherapy. Methods Six male patients (mean age, 64.2 years) with SCLC were enrolled in this study. RNA-Seq was executed on the tumor tissues from 3 patients with PR outcome and 3 patients with SD or PD therapeutic effect after first-line chemotherapy.  https://www.selleckchem.com/products/ga-017.html  Results RNA-Seq generated 26.67×106 (±8.7×106) reads in SCLC tissues [mean (±standard deviation)]. Analysis revealed that 64 lncRNAs had higher expression and 194 had lower expression in the PR group ≥2-fold (P less then 0.05). Three downregulated genes in the PR group [HOXA-AS3, cancer susceptibility 9 (CASC9), and KEGG] could have a role in the insensitivity of SCLC. A total of 1,303 differential miRNAs were defined between PR and the SD or PD SCLC group, while 520 miRNAs had higher expression, and 783 had lower expression in the PR group. Two lower expressed miRNAs in the PR group (miRNA 601 and miRNA 596) might be the key genes in SCLC chemotherapy insensitivity. Conclusions The expression of 3 gene (HOXA-AS3, CASC9, and KEGG) and 2 miRNAs (miRNA 601 and miRNA 596) were markedly decreased in SCLC patients who achieved PR. They thus might be the promising candidate genes in SCLC chemotherapy insensitivity. 2020 Annals of Translational Medicine. All rights reserved.Background Children with vitamin A, D, and E deficiency are susceptible to respiratory infections. However, the correlations between the levels with Mycoplasma pneumoniae pneumonia (MPP) and patient MPP occurrence is still unclear. This study aims to measure and compare the serum levels in severe (sMPP) and non-severe MPP (nsMPP) and to investigate the correlations between their levels and the occurrence of MPP. Methods A total of 122 children were enrolled, including 52 sMPP and 70 nsMPP aged 0-15 years old in 2015-2018. The serum levels of vitamins A, D, and E were measured and compared, and two-category logistic regression was used for correlation analysis of vitamins A, D, and E levels with nsMPP and sMPP. Results The age was older (7.12 vs. 4.01 y, P=0.002) in the sMPP samples than that in the nsMPP samples. Vitamin A deficiency was present in both the nsMPP and sMPP samples; its level was significantly lower (0.15±0.06 vs. 0.19±0.07, P=0.0193) in the sMPP serum than that in the nsMPP serum. Vitamins E and D in the sMPP samples were significantly lower (vitamin E 7.