LINC02418 upregulates EPHA2 by competitively sponging miR-372-3p to promote 5-Fu/DDP chemoresistance in colorectal cancer.

Chemoresistance is a huge clinical challenge in the treatment of advanced colorectal cancer (CRC). Non-coding RNAs (ncRNAs) and messenger RNA (mRNA) are involved in CRC chemoresistance. However, the profiles of long ncRNAs (lncRNAs), microRNAs (miRNAs), mRNAs and competing endogenous RNA (ceRNA) networks in CRC chemoresistance are still largely unknown. Here, we compared the gene expression profiles in chemosensitive (HCT8) and chemoresistant [HCT8/5-fluorouracil (5-Fu) and HCT8/cisplatin (DDP)] cell lines by whole-transcriptome sequencing. The common differentially expressed RNAs in two drug-resistant cells were selected to construct lncRNA-miRNA-mRNA networks. The ceRNA network closely related to chemoresistance was further established based on the widely accepted drug resistance-associated genes enriched in three signaling pathways involved in chemoresistance. In total 52 lncRNA-miRNA-mRNA pathways were screened out, among which EPHA2 and LINC02418 were identified as hub genes; thus, LINC02418/miR-372-3p/EPHA2 were further selected and proved to affect the 5-Fu and DDP resistance of CRC. Mechanistically, LINC02418 upregulated EPHA2 by functioning as a 'sponge' of miR-372-3p to modulate the chemoresistance of CRC. Collectively, our study uncovered the underlying mechanism of LINC02418/miR-372-3p/EPHA2 in 5-Fu and DDP resistance of CRC, which may provide potential therapeutic targets for improving the chemosensitivity of CRC.

Metabolomic analysis of gut metabolites in patients with colorectal cancer: Association with disease development and outcome.

Colorectal cancer (CRC) is one of the leading global malignancies with low 5-year survival and high mortality rates. Despite extensive research, the precise role of gut metabolites in CRC development and clinical outcomes remains unclear, while its elucidation may aid the development of improved clinical diagnosis and treatment options. In the present study, targeted metabolomic analysis was conducted on fecal samples from 35 patients with CRC, 37 patients with colorectal adenoma and 30 healthy controls (HC) to identify metabolite biomarkers. Using orthogonal partial least squares discriminant analysis, metabolomic features distinguishing the three groups were identified. Receiver operating characteristic (ROC) curve analysis was used to assess diagnostic utility for distinguishing CRC from HC. The association of gut metabolites with survival in patients with CRC was also analyzed by comparing short-term survivors (STS) and long-term survivors (LTS), and the prognostic ability of metabolites was predicted using Cox regression and Kaplan-Meier analysis. The results of the current study showed that the enriched pathways in CRC included 'caffeine metabolism', 'thiamine metabolism', 'phenylalanine, tyrosine and tryptophan biosynthesis' and 'phenylalanine metabolism'. ROC analysis found that 9,10-dihydroxy-12-octadecenoic acid, cholesterol ester (18:2) and lipoxinA4 distinguished CRC from HC. Joint quantification of these three metabolites resulted in an area under the ROC curve of 0.969 in the diagnosis of CRC. The analysis of the current study also showed that the expression of metabolites involved in 'sphingolipid metabolism' was mainly dysregulated in LTS and STS, while N-acetylmannosamine and 2,5-dihydroxybenzaldehyde were associated with better overall survival. In conclusion, the present study provided preliminary insight into the metabolic changes associated with CRC and may have important implications for the development of future diagnostic and treatment strategies.

Identification of Circular RNAs Associated With Chemoresistance in Colorectal Cancer.

Chemoresistance is a major clinical obstacle for the treatment of colorectal cancer (CRC). Circular RNAs (circRNAs) are a new type of non-coding RNA that participated in the development of chemoresistance. However, the profiles and effects of circRNAs in 5-fluorouracil (5-Fu) and cisplatin resistance of CRC are still unclear and need to be elucidated. In the present study, the profiles of circRNAs in CRC chemoresistant (HCT8/5-Fu and HCT8/DDP) and chemosensitive (HCT8) cell lines were identified via RNA-sequencing. In total, 48 and 90 differentially expressed (DE)-circRNAs were detected in HCT8/5-Fu and HCT8/DDP cell lines, respectively. Gene Ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathway analysis were conducted on the host genes of DE-circRNAs; the results showed that the most significant enrichment pathways in HCT8/5-Fu and HCT8/DDP cell lines were base excision repair and Hippo signaling pathway, respectively. In addition, 11 common DE-circRNAs in the two drug-resistant cell lines (two are upregulated and nine are downregulated) were screened and verified by quantitative real-time PCR; hsacirc_023607 and hsacirc_007420 were found to be the circRNAs with the highest upregulation and downregulation fold changes. However, functional studies showed hsacirc_023607 has no effect on CRC chemoresistance. Therefore, the regulatory networks of targeted miRNAs related to 5-Fu or cisplatin resistance were predicted and constructed, in which hsacirc_002482 was identified as a hub gene, and its overexpression could suppress HCT8/5-Fu and HCT8/DDP cell proliferation and promote cell apoptosis, and enhance cell chemosensitivity. Taken together, these results of the study suggested that hsacirc_002482 may play important roles in chemoresistance of CRC.