Holistic exploration of CHGA and hsa-miR-137 in colorectal cancer via multi-omic data Integration

Colorectal cancer (CRC) ranks among the most widespread malignancies globally, with early detection significantly influencing prognosis. Employing a systems biology approach, we aimed to unravel the intricate mRNA-miRNA network linked to CRC pathogenesis, potentially yielding diagnostic biomarkers. Through an integrative analysis of microarray, Bulk RNA-seq, and single-cell RNA-seq data, we explored CRC-related transcriptomes comprehensively. Differential gene expression analysis uncovered crucial genes, while Weighted Gene Co-expression Network Analysis (WGCNA) identified key modules closely linked to CRC. Remarkably, CRC manifested its strongest correlation with the turquoise module, signifying its pivotal role. From the cohort of genes showing high Gene Significance (GS) and Module Membership (MM), and Differential Expression Genes (DEGs), we highlighted the downregulated Chromogranin A (CHGA) as a notable hub gene in CRC. This finding was corroborated by the Human Protein Atlas database, which illustrated decreased CHGA expression in CRC tissues. Additionally, CHGA displayed elevated expression in primary versus metastatic cell lines, as evidenced by the CCLE database. Subsequent RT-qPCR validation substantiated the marked downregulation of CHGA in CRC tissues, reinforcing the significance of our differential expression analysis. Analyzing the Space-Time Gut Cell Atlas dataset underscored specific CHGA expression in epithelial cell subclusters, a trend persisting across developmental stages. Furthermore, our scrutiny of colon and small intestine Enteroendocrine cells uncovered distinct CHGA expression patterns, accentuating its role in CRC pathogenesis. Utilizing the WGCNA algorithm and TargetScan database, we validated the downregulation of hsa-miR-137 in CRC, and integrated assessment highlighted its interplay with CHGA. Our findings advocate hsa-miR-137 and CHGA as promising CRC biomarkers, offering valuable insights into diagnosis and prognosis. Despite proteomic analysis yielding no direct correlation, our multifaceted approach contributes comprehensive understanding of CRC's intricate regulatory mechanisms. In conclusion, this study advances hsa-miR-137 and CHGA as promising CRC biomarkers through an integrated analysis of diverse datasets and network interactions.

Effect and Mechanism of lncRNA-PCMF1/hsa-miR-137/Twist1 Axis Involved in the EMT Regulation of Prostate Cancer Cells

The metastasis is a major reason for the poor prognosis of the patients with prostate cancer (PC). Currently, androgen deprivation therapy (ADT) is the basic method for the treatment of PC regardless of surgery or drug treatments. However, ADT therapy is generally not recommended for patients with advanced/metastatic PC. Herein, we report for the first time a long non-coding RNA (lncRNA)-PCMF1 which promotes the progression of Epithelial-Mesenchymal Transition (EMT) in PC cells. Our data demonstrated that PCMF1 in metastatic PC tissues increased significantly compared to non-metastatic specimens. Mechanism research showed that PCMF1 could competitively bind to hsa-miR-137 instead of the 3' -Untranslated Region (UTR) of Twist Family BHLH Transcription Factor 1 (Twist1) by acting as an endogenous miRNA sponge. Furthermore, we found that silence of PCMF1 effectively blocked the EMT in PC cells by indirectly suppressing Twist1 protein mediated by hsa-miR-137 at post-transcriptional level. In summary, our research shows that PCMF1 promotes the EMT of PC cells by causing the functional inactivation of hsa-miR-137 on Twist1 protein, which is an independent risk factor of PC. PCMF1 knockdown combined with hsa-miR-137 expression is a promising PC-targeted therapy. Furthermore, PCMF1 is also expected to act as a useful marker for predicting malignant changes and assessing the prognosis of PC patients.