Bioinformatics analysis of hedgehog interacting protein in colorectal cancer: a study based on GEO data and TCGA data.

Colorectal cancer (CRC) is one of the most prevalent malignancies worldwide. Hedgehog Interacting Protein (HHIP) is evolutionarily conserved protein, which are important morphogens for a wide range of developmental processes,However, the specific role and mechanism of HHIP in CRC remains not fully understood. In this study, we first performed pan-cancer analysis for HHIP's expression via The Cancer Genome Atlas (TCGA) and The Genotype-Tissue Expression (GTEx) data and found that HHIP might be a potential anti-oncogene for CRC. Subsequently, non-coding RNAs (ncRNAs) contributing to down-regulated HHIP expression were identified through a combination of a series of in silico analyses, including expression and correlation analysis. Finally, the LINC02381/miR-577 complex was identified as the top potential upstream regulator of HHIP in CRC. In addition, HHIP expression level was significantly correlated with tumor immune cell infiltration, biomarkers of immune cells, and immune checkpoint expression. Overall, our findings clarified ncRNAs-mediated down-regulation of HHIP which was associated with poor prognosis and tumor immune infiltration in CRC.

Comprehensive genomics analysis of aging related gene signature to predict the prognosis and drug resistance of colon adenocarcinoma.

Background: Colon adenocarcinoma (COAD) is a heterogeneous tumor and senescence is crucial in the occurrence of cancer. This study aimed to identify senescence-based subtypes and construct a prognostic signature to predict the prognosis and guide immunotherapy or chemotherapy decisions for COAD patients. Methods: Based on the single-cell RNA sequencing (scRNA-seq) data of 13 samples from the Gene Expression Omnibus (GEO) database, we assessed cellular senescence characteristics. Transcriptome data, copy number variations (CNVs) and single nucleotide variations (SNVs) data were obtained from The Cancer Genome Atlas (TCGA) database. GSE39582 and GSE17537 were used for validation. Senescence subtypes were identified using unsupervised consensus clustering analysis, and a prognostic signature was developed using univariate Cox analysis and least absolute shrinkage and selection operator (LASSO). Response of risk groups to chemotherapy was predicted using the half-maximal inhibitory concentration (IC50) values. We further analyzed the relationship between risk gene expression and methylation level. The prediction performance was assessed by nomogram. Results: Senescence-related pathways were highly enriched in malignant cells and bulk RNA-seq verified cellular senescence. Three senescence subtypes were identified, in which patients in clust3 had poorest prognosis and higher T stage, accompanied with higher tumor mutation burden (TMB) and mutations, activated inflammatory response, more immune cell infiltration, and higher immune escape tendency. A senescence-based signature using 11 genes (MFNG, GPRC5B, TNNT1, CCL22, NOXA1, PABPC1L, PCOLCE2, MID2, CPA3, HSPA1A, and CALB1) was established, and accurately predicted a lower prognosis in high risk patients. Its robustness was validated by external cohort. Low risk patients were more sensitive to small molecule drugs including Erlotinib, Sunitinib, MG-132, CGP-082996, AZ628, Sorafenib, VX-680, and Z-LLNle-CHO. Risk score was an independent prognostic factor and nomogram confirmed its reliability. Four risk genes (CALB1, CPA3, NOXA1, and TNNT1) had significant positive correlation with their methylation level, while six genes (CCL22, GPRC5B, HSPA1A, MFNG, PABPC1L, and PCOLCE2) were negatively correlated with their methylation level. Conclusion: This study provides novel understanding of heterogeneity in COAD from the perspective of senescence, and develops signatures for prognosis prediction in COAD.

Telomere is shortened in patients with irritable bowel syndrome in the Chinese population.

BACKGROUND AND AIM: Telomere shortening is an accepted indicator of aging. Many studies have investigated an association between leukocyte telomere length (LTL) and psychiatric disorders. Mental or psychological factors could be an important cause of irritable bowel syndrome (IBS). However, there are currently few research evaluating correlations between LTL and IBS. METHODS: We examined associations between LTL and IBS using quantitative polymerase chain reaction in independent cohorts, including 205 patients with IBS and 189 healthy controls. Furthermore, we examined whether mental or psychological factors, types of IBS, duration of IBS and antidepressants had an association with LTL in patients with IBS. RESULTS: Among total samples, patients with IBS presented shorter LTL when compared to healthy controls (P < 0.0001). Moreover, in subgroup analyses of patients with IBS, not only the LTL in patients with IBS caused by mental or psychological factors was shorter (P < 0.0001), but also in patients with IBS that were caused by other factors (P = 0.0082). Furthermore, LTL in patients with IBS who had taken antidepressants for more than 1 month was longer than that in patients with IBS who did not take antidepressants or took for less than 1 month (P < 0.0001). CONCLUSIONS: This is the first study to describe the relationship between LTL and IBS. This study showed significantly shorter telomeres in patients with IBS. Our findings suggest that LTL may hold the potential to serve as a predictor of IBS diagnosis.