Identification and Validation of a Potent Multi-lncRNA Molecular Model for Predicting Gastric Cancer Prognosis

Gastric cancer (GC) remains the third deadliest malignancy in China. Despite the current understanding that the long noncoding RNAs (lncRNAs) play a pivotal function in the growth and progression of cancer, their prognostic value in GC remains unclear. Therefore, we aimed to construct a polymolecular prediction model by employing a competing endogenous RNA (ceRNA) network signature obtained by integrated bioinformatics analysis to evaluate patient prognosis in GC. Overall, 1,464 mRNAs, 14,376 lncRNAs, and 73 microRNAs (miRNAs) were found to be differentially expressed in GC. Gene Ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses revealed that these differentially expressed RNAs were mostly enriched in neuroactive ligand–receptor interaction, chemical carcinogenesis, epidermis development, and digestion, which were correlated with GC. A ceRNA network consisting of four lncRNAs, 21 miRNAs, and 12 mRNAs were constructed. We identified four lncRNAs (lnc00473, H19, AC079160.1, and AC093866.1) as prognostic biomarkers, and their levels were quantified by qRT-PCR in cancer and adjacent noncancerous tissue specimens. Univariable and multivariable Cox regression analyses suggested statistically significant differences in age, stage, radiotherapy, and risk score groups, which were independent predictors of prognosis. A risk prediction model was created to test whether lncRNAs could be used as an independent risk predictor of GC or not. These novel lncRNAs’ signature independently predicted overall survival in GC (p < 0.001). Taken together, this study identified a ceRNA and protein–protein interaction networks that significantly affect GC, which could be valuable for GC diagnosis and therapy.

The Unique Genetic and Histological Characteristics of DMBA-Induced Mammary Tumors in an Organoid-Based Carcinogenesis Model

Here, we report a model system using in vitro 7,12-dimethylbenz[a]anthracene (DMBA; 0.6 μM)-treated mammary tissue-derived organoids generated from heterozygous BALB/c-Trp53 knockout mice to induce tumors after injection into the nude mouse subcutis. In parallel, a single oral dose of DMBA (50 mg/kg bodyweight) to the same murine strain induced mammary adenocarcinomas, characterized by biphasic structures differentiated into luminal and myoepithelial lineages and frequent Hras mutations at codon 61. In the present study, the genetic and histological characteristics of DMBA-induced tumors in the organoid-based model were evaluated to validate its similarities to the in vivo study. The organoid-derived tumors were low-grade adenocarcinomas composed of luminal and basal/myoepithelial cells. When the organoid-derived carcinomas were passaged to other nude mice, they partly progressed to squamous cell carcinomas (SCCs). Whole exome sequencing revealed no mutations at Hras codon 61 in the organoid-derived tumors. However, various mutations were detected in other genes such as Tusc3 and Tgfbr2, which have been reported as cancer-associated or homeostatic squamous cell genes. The most common mutational pattern observed in these genes were the G:C to T:A transversions and G:C to A:T transitions, which are not typical of the mutations caused by DMBA treatment. In conclusion, DMBA exhibited carcinogenicity in the both the ex vivo and in vivo mammary carcinogenesis models, albeit with distinct histological and genetical alterations. Further studies are needed to clarify whether organoid-based carcinogenesis models generated following chemical treatment in vitro could be applied to the clarification of the novel mode of action of chemical carcinogenesis.

Establishment of Novel Genotoxicity Assay System Using Murine Normal Epithelial Tissue-Derived Organoids

Short-/middle-term and simple prediction studies for carcinogenesis are needed for the safety assessment of chemical substances. To establish a novel genotoxicity assay with an in vivo mimicking system, we prepared murine colonic/pulmonary organoids from gpt delta mice according to the general procedure using collagenase/dispase and cultured them in a 3D environment. When the organoids were exposed to foodborne carcinogens—2-amino-1-methyl-6-phenylimidazo(4,5-b)pyridine (PhIP) and acrylamide (AA)—in the presence of metabolic activation systems, mutation frequencies (MFs) occurring in the gpt gene dose-dependently increased. Moreover, the mutation spectrum analysis indicated predominant G:C to T:A transversion with PhIP, and A:T to C:G and A:T to T:A transversion with AA. These data correspond to those of a previous study describing in vivo mutagenicity in gpt delta mice. However, organoids derived from the liver, a non-target tissue of PhIP-carcinogenesis, also demonstrated genotoxicity with a potency comparable to colonic organoids. Organoids and PhIP were directly incubated in the presence of metabolic activation systems; therefore, there was a lack of organ specificity, as observed in vivo. Additionally, PhIP-DNA adduct levels were comparable in hepatic and colonic organoids after PhIP exposure. Taken together, the organoids prepared in the present study may be helpful to predict chemical carcinogenesis.

Metabolomic credentialing of murine carcinogen-induced urothelial cancer

Bladder cancer (BCa) is the most common malignancy of the urinary system with increasing incidence, mortality, and limited treatment options. Therefore, it is imperative to validate preclinical models that faithfully represent BCa cellular, molecular, and metabolic heterogeneity to develop new therapeutics. We performed metabolomic profiling of premalignant and non-muscle invasive bladder cancer (NMIBC) that ensued in the chemical carcinogenesis N-butyl-N-(4-hydroxybutyl)-nitrosamine (BBN) mouse model. We identified the enriched metabolic signatures that associate with premalignant and NMIBC. We found that enrichment of lipid metabolism is the forerunner of carcinogen-induced premalignant and NMIBC lesions. Cross-species analysis revealed the prognostic value of the enzymes associated with carcinogen-induced enriched metabolic in human disease. To date, this is the first study describing the global metabolomic profiles associated with early premalignant and NMIBC and provide evidence that these metabolomic signatures can be used for prognostication of human disease.

Identification of The Critical Genes and miRNAs in Hepatocellular Carcinoma by Integrated Bioinformatics Analysis

Hepatocellular carcinoma (HCC) is a global health problem with a complex etiology and pathogenesis. Microarray data is increasingly being used as a novel and effective method for cancer pathogenesis analysis. To unravel the potential prognosis of HCC, an integrative study of mRNA and miRNA for HCC was conducted. Two microarray datasets (GSE89377 and GSE101685) and two miRNAs expression profiles (GSE112264 and GSE113740) were obtained from Gene Expression Omnibus (GEO) database. A total of 177 DEGs and 80 DEMs were screened out. Functional enrichment of DEGs was proceeded by Clue GO, including GO and KEGG pathway analysis. These genes were significantly enriched in chemical carcinogenesis. PPI network was then established on the STRING platform, and ten hub genes (CDC20, TOP2A, ASPM, NCAPG, AURKA, CYP2E1, HMMR, PRC1, TYMS, and CYP4A11) were visualized via Cytoscape software. Then, a miRNA-target network was established to identify the dysregulated miRNA. A key miRNA (hsa-miR-124-3p) was filtered. Finally, the miRNA-target- transcription factor networks were constructed for hsa-miR-124-3p. The network for hsa-miR-124-3p included two transcription factors (TFs) and five targets. These identified DEGs and DEMs, TFs, targets, and regulatory networks may help advance our understanding the underlying pathogenesis of HCC.

Label-Free Quantitative Proteomic Study of The Effect of Dihydrotestosterone (DHT) On Rat Ovarian GCs

Dihydrotestosterone (DHT) is a main androgen in the human body. Previous reports have shown that DHT can affect the proliferation, apoptosis and estrogen and progesterone secretion of ovarian granulosa cells (GCs). An imbalance in DHT secretion leads to GC dysfunction and follicular development disorder.Therefore, exploring the influence of DHT on GCs is necessary. The purpose of this study was to analyze the effect of DHT on GCs through label-free quantitative proteomics (LFQP). After primary cultured rat GCs were treated with DHT (10-8 mol/L), the effect of DHT on GCs was analyzed by LFQP, and some of the differentially expressed proteins (DEPs) were verified by western blotting.A total of 6124.0 proteins were identified, of which 4496.0 were quantifiable. Compared with the control group, 28 proteins were upregulated and 10 were downregulated after DHT intervention. The subcellular localization of DEPs indicates that DHT is involved in the proliferation, migration, molding and metabolism of GCs. Gene Ontology (GO) revealed that DHT downregulated the oxygen transport capacity and oxygen-binding protein of GCs. Orthologous Groups of proteins (COG/KOG) showed that DHT had an important effect on the survival, growth and apoptosis of GCs. Kyoto Encyclopedia of Genes and Genomes (KEGG) revealed that DHT promotes metabolism, amino acid degradation, chemical carcinogenesis, platelet activation and vasoconstriction in GCs. The western blot results were consistent with the proteomics results. Mark3 and Mre11a are DEPs that were upregulated, and Fth1 and Nqo1 were downregulated, which indicated that DHT could promote the proliferation of GCs.This study comprehensively analyzes the impact of DHT on GCs through LFQP and provides clues for further research.

Resistance to chemical carcinogenesis induction via a dampened inflammatory response in naked mole-rats

Naked mole-rats (NMRs) have a very low spontaneous carcinogenesis rate, which has prompted scientists to study their cancer resistance mechanisms in order to provide clues for human cancer prevention. Although cancer resistance in NMRs has been intensively investigated at the cellular level, it is still unknown how strongly resistant NMR individuals are to carcinogenesis and how NMR tissues respond to experimental carcinogenesis induction. Here, we show that NMRs exhibit extraordinary resistance against potent chemical carcinogenesis induction through a dampened inflammatory response. Although carcinogenic insults damaged skin cells of both NMRs and mice, NMR skin showed markedly lower immune cell infiltration and reduced induction of inflammatory genes. NMRs harbor loss-of-function mutations in receptor-interacting protein kinase 3 (RIPK3) and mixed lineage kinase domain-like (MLKL) genes, which are essential for necroptosis, a type of necrotic cell death that activates strong inflammation. A necroptosis-inducing stimulus did not increase death of NMR cells. After carcinogenic insults, leakage of the HMGB1, a marker of necrotic cell death, was not increased in NMR skin. In mice, inhibition or knockout of RIPK3 reduced immune cell infiltration and delayed the onset of chemical carcinogenesis. Therefore, necroptosis deficiency may serve as a cancer resistance mechanism via attenuating the inflammatory response in NMRs. Our study sheds light on the importance of a dampened inflammatory response as a non-cell-autonomous cancer resistance mechanism in NMRs. Further in vivo study of the unusual tissue immune system and carcinogenesis resistance of NMRs may lead to the development of new strategies to prevent carcinogenesis in humans.