Unraveling the causal role of immune cells in gastrointestinal tract cancers: insights from a Mendelian randomization study.

Background: Despite early attempts, the relationship between immune characteristics and gastrointestinal tract cancers remains incompletely elucidated. Hence, rigorous and further investigations in this domain hold significant clinical relevance for the development of novel potential immunotherapeutic targets. Methods: We conducted a two-sample Mendelian randomization (MR) analysis using the tools available in the "TwoSampleMR" R package. The GWAS data for these 731 immune traits were sourced from the GWAS Catalog database. Concurrently, data on gastrointestinal tract cancers, encompassing malignant tumors in the esophagus, stomach, small intestine, colon, and rectum, were extracted from the FinnGen database. The immune traits subjected to MR analysis predominantly fall into four categories: median fluorescence intensities (MFI), relative cell (RC), absolute cell (AC), and morphological parameters (MP). To ensure the reliability of our findings, sensitivity analyses were implemented to address robustness, account for heterogeneity, and alleviate the impact of horizontal pleiotropy. Results: A total of 78 immune traits causally linked to gastrointestinal tract cancers were identified, encompassing esophageal cancer (12 traits), gastric cancer (13 traits), small intestine cancer (22 traits), colon cancer (12 traits), and rectal cancer (19 traits). Additionally, 60 immune traits were recognized as protective factors associated with gastrointestinal tract cancers, distributed across esophageal cancer (14 traits), gastric cancer (16 traits), small intestine cancer (7 traits), colon cancer (14 traits), and rectal cancer (9 traits). Furthermore, it was observed that seven immune traits are causally related to gastrointestinal tract cancers in at least two locations. These traits include "CCR2 on CD14- CD16+ monocyte," "CD19 on IgD+ CD38-," "CD19 on IgD+ CD38- naive," "CD25hi CD45RA+ CD4 not Treg AC," "CD27 on unsw mem," "CD28 on CD39+ activated Treg," and "CD45 on CD4+." Conclusion: This study elucidates a causal link between immune cells and gastrointestinal tract cancers at various sites through genetic investigation. The findings of this research open up new perspectives and resources for exploring tumor prevention strategies and immunotherapeutic targets.

Mitophagy-mediated molecular subtypes depict the hallmarks of the tumour metabolism and guide precision chemotherapy in pancreatic adenocarcinoma.

Background: Mitophagy is closely related to cancer initiation and progression. However, heterogeneity with reference to mitophagy remains unexplored in pancreatic adenocarcinoma (PAAD). Materials and methods: We used Reactome database to download the mitophagy-related, glycolysis-related and cholesterol biosynthesis-related signaling pathways. Unsupervised clustering using the "ConsensusClusterPlus" R package was performed to identify molecular subtypes related to mitophagy and metabolism. Prognosis-related mitophagy regulators were identified by univariate Cox regression analysis. Receiver operating characteristics (ROC) and Kaplan-Meier (K-M) survival analyses were used to assess the diagnostic and prognostic role of the hub genes and prognosis risk model. Weighted gene co-expression network analysis (WGCNA) was utilized for screening the mitophagy subtype-related hub genes. Metascape was utilized to carry out functional enrichment analysis. The "glmnet" R package was utilised for LASSO, and the "e1071" R package was utilised for SVM. Chemotherapeutic drug sensitivity was estimated using the R package "pRRophetic" and Genomics of Drug Sensitivity in Cancer (GDSC) database. The nomogram was established by the "rms" R package. Results: Three distinct mitophagy subtypes (low, high and intermediate) of PAAD were identified based on the landscape of mitophagy regulators. The high mitophagy subtype had the worst prognosis, highest mRNA expression-based stemness index scores and most hypoxic environment compared to the other subtypes. Additionally, glycolysis and cholesterol biosynthesis were significantly elevated. Three mitophagy subtype-specific gene signatures (CAST, CCDC6, and ERLIN1) were extracted using WGCNA and machine learning. Moreover, PAAD tumours were insensitive to Erlotinib, Sunitinib and Imatinib in the high mitophagy subtype and high CAST, CCDC6, and ERLIN1 expressed subtypes. Furthermore, CAST, CCDC6, and ERLIN1 affected immune cell infiltration (M1 and CD8Tcm), resulting in the altered prognosis of patients with PAAD. A nomogram was constructed to screen patients with the low mitophagy subtype, which showed a higher sensitivity to chemotherapeutic agents. Conclusion: Based on various bioinformatics tools and databases, the PAAD heterogeneity regarding mitophagy was systematically examined. Three different PAAD subtypes having different outcomes, metabolism patterns and chemosensitivity were observed. Moreover, three novel biomarkers that are closely associated with mitophagy and have the potential to guide individualised treatment regimens in PAAD were obtained.

Characterization of the metabolite of cabozantinib generated from liver microsomes and hepatocytes by ultra-high performance liquid chromatography coupled to quadrupole/orbitrap high resolution mass spectrometry.

Cabozantinib is a potent inhibitor of tyrosine kinase receptor that plays key role in tumor pathogenesis. Cabozantinib has been approved by U. S. Food and Drug Administration for the treatment of cancer. The present work was aimed to explore the in vitro metabolism of cabozantinib using liver microsomes and hepatocytes from animal species and humans through ultra-high performance liquid chromatography coupled to quadrupole/orbitrap high resolution mass spectrometer. The metabolites were characterized by their elemental compositions, MS and MS/MS spectra. As a result, a total of 26 metabolites were identified, and 15 metabolites were newly reported. Among these metabolites, M12 (oxidative defluorination), M19 and M22 (demethylation), M21 (hydroxylation) and M26 (N-oxygenation) were the major metabolites in all species. Our data revealed that cabozantinib was metabolized via the following pathways: oxidative defluorination, hydroxylation, amide hydrolysis, O-dealkylation, N-oxygenation, demethylation and glucuronidation. Human recombinant cytochrome P450 (CYP) enzyme analysis revealed that metabolism of cabozantinib was mainly catalyzed by CYP3A4, while other CYP enzymes played negligible role. The current study provided valuable metabolic data of cabozantinib from different animal species and humans, which would aid in safety and efficacy assessment.

BACH1 is transcriptionally inhibited by TET1 in hepatocellular carcinoma in a microRNA-34a-dependent manner to regulate autophagy and inflammation.

Hepatocellular carcinoma (HCC), one of the main contributors to cancer-associated deaths globally, is characterized by high invasiveness. Herein, we studied the molecular mechanisms underlying ten-eleven translocation 1 (TET1)-mediated autophagy in HCC. Following data mining using GSE101728, GSE14520 and GSE138178, TET1 was screened out, and the differential expression of TET1 was verified by bioinformatics analysis. TET1, one of the prognostic markers in HCC, was poorly expressed in HCC. Through functional experiments, we determined that upregulation of TET1 inhibited the proliferation, migration, invasion, tumorigenesis, metastasis and inflammatory factors of HCC cells, and promoted cell autophagy and apoptosis. Mechanistically, TET1 activated miR-34a by demethylating miR-34a. BTB domain and CNC homology 1 (BACH1) was identified as the target gene of miR-34a. Notably, Downregulation of miR-34a increased cellular inflammatory factors and decreased autophagy in the presence of TET1, while declines in BACH1 suppressed cellular inflammatory factors and enhanced autophagy in the presence of miR-34a inhibitor. BACH1 negatively regulated the p53 pathway. In conclusion, TET1 is a tumor suppressor in the progression of HCC by regulating the miR-34a/BACH1/p53 axis, and may contribute to the improvement of HCC prognosis and therapy.

LncRNA TRG-AS1 stimulates hepatocellular carcinoma progression by sponging miR-4500 to modulate BACH1.

BACKGROUND: T cell receptor gamma locus antisense RNA 1 (TRG-AS1) has been reported to involve in the progression of glioblastoma, however the role and its underlying molecular mechanism in hepatocellular carcinoma (HCC) remain unknown. METHODS: Quantitative real-time polymerase chain reaction (RT-qPCR) was applied to detect TRG-AS1 expression in HCC cells. Besides, the proliferation abilities of HCC cells were assessed by colony formation and EdU assays. The migratory and invasive abilities of HCC cells were examined by transwell assays. Imunofluorescence staining (IF) was used to analyze the epithelial-mesenchymal transitions (EMT). The interaction among TRG-AS1, miR-4500 and BTB domain and CNC homolog 1 (BACH1) were proofed by means of RIP and RNA pull down and luciferase reporter assays. RESULTS: TRG-AS1 was conspicuously overexpressed in HCC cells. TRG-AS1 silencing apparently suppressed HCC cell proliferation, migration, invasion and epithelial-mesenchymal transition (EMT). Mechanism exploration revealed that TRG-AS1 acted as a molecular sponge of miR-4500 to regulate BACH1. MiR-4500 silencing or BACH1 overexpression in BACH1-downregulated cells fully rescued cell proliferation migration, invasion and EMT progress. CONCLUSION: TRG-AS1 regulates HCC progression by targeting miR-4500/BACH1 axis.