Alternative polyadenylation associated with prognosis and therapy in colorectal cancer

Integrated RNA expression and alternative polyadenylation analysis identified CPSF1-CCDC137 oncogenic axis in lung adenocarcinoma

This study aims to analyze the RNA expression and alternative polyadenylation (APA) events and identify APA tuned genes with prognostic significance in lung adenocarcinoma (LUAD). Genome-wide RNA expression profile and APA events were acquired in LUAD cancer and normal samples in GSE197346. Comparative analysis screened common deregulated genes and transcripts. All 11 and 19 transcripts were up and down expressed and polyadenylated in cancer samples, respectively. Clinical analysis found eight genes with prognostic significance, such as coiled-coil domain containing 137 (CCDC137). Role of CCDC137 in LUAD was first reported in this study. The cellular and animal experiments indicated that downregulated CCDC137 suppressed the malignant tumor phenotype and tumor growth in LUAD. Then, to identify APA regulators for elevated CCDC137, we analyzed the expression of 26 APA regulators in GSE197346 and The Cancer Genome Atlas (TCGA), and found 4 differential regulators: CPSF1, CELF2, NUDT21, and ELAVL1. At last, the correlation of eight genes with four differential APA regulators was analyzed, and CPSF1 showed a strong positive correlation with CCDC137. Based on the above results, we propose an oncogenic axis of CPSF1-CCDC137 in LUAD. This study first constructed a polyadenylation tuned RNA expression map in LUAD, and the proposed oncogenic axis of CPSF1-CCDC137 would shed light on the pathogenesis of LUAD.

Multiplexed screening reveals how cancer-specific alternative polyadenylation shapes tumor growth in vivo

Alternative polyadenylation (APA) is strikingly dysregulated in many cancers. Although global APA dysregulation is frequently associated with poor prognosis, the importance of most individual APA events is controversial simply because few have been functionally studied. Here, we address this gap by developing a CRISPR-Cas9-based screen to manipulate endogenous polyadenylation and systematically quantify how APA events contribute to tumor growth in vivo. Our screen reveals individual APA events that control mouse melanoma growth in an immunocompetent host, with concordant associations in clinical human cancer. For example, forced Atg7 3' UTR lengthening in mouse melanoma suppresses ATG7 protein levels, slows tumor growth, and improves host survival; similarly, in clinical human melanoma, a long ATG7 3' UTR is associated with significantly prolonged patient survival. Overall, our study provides an easily adaptable means to functionally dissect APA in physiological systems and directly quantifies the contributions of recurrent APA events to tumorigenic phenotypes.

Comprehensive Analysis of Alternative Polyadenylation Events Associated with the Tumor Immune Microenvironment in Colon Adenocarcinoma

Objective

Colon adenocarcinoma (COAD) is one of the leading causes of cancer death worldwide. Alternative polyadenylation (APA) is relevant to the variability of the 3'-UTR of mRNA. However, the posttranscriptional dysregulation of APA in COAD is poorly understood.

Methods

We collected APA data from The Cancer Genome Atlas (TCGA) COAD (n =7692). APA events were evaluated using PDUI values, and the prognostically significant APA events were screened by LASSO Cox regression to construct a prognostic model. Then, prognostic model functions and possible regulatory genes of characteristic APA events were analyzed. Finally, the immune regulatory network based on APA regulatory genes was analyzed and established.

Results

A total of 95 APA events were found to influence the COAD outcomes. Among them, 39 genes were screened as characteristic prognostic APA events by LASSO Cox regression to construct a COAD prognostic signature. The analysis results suggested that a high signature score was associated with poor prognosis and was significantly correlated with a variety of immune cells, including NK and Th1, 2 and 17 cells. Further analysis showed that APA regulators mainly served roles in the prognosis of COAD. Based on the above results, we constructed an immunoregulatory network for APA regulatory genes-APA genes-immune cells.

Conclusion

Our study revealed that APA events in COAD may regulate tumor progression by influencing immune cells, which provides a new direction for exploring the influencing mechanism of the tumor immune microenvironment and is expected to provide a potential new target for COAD immunotherapy.