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

APC mutations dysregulate alternative polyadenylation in cancer

BACKGROUND

Alternative polyadenylation (APA) affects most human genes and is recurrently dysregulated in all studied cancers. However, the mechanistic origins of this dysregulation are incompletely understood.

RESULTS

We describe an unbiased analysis of molecular regulators of poly(A) site selection across The Cancer Genome Atlas and identify that colorectal adenocarcinoma is an outlier relative to all other cancer subtypes. This distinction arises from the frequent presence of loss-of-function APC mutations in colorectal adenocarcinoma, which are strongly associated with long 3' UTR expression relative to tumors lacking APC mutations. APC knockout similarly dysregulates APA in human colon organoids. By mining previously published APC eCLIP data, we show that APC preferentially binds G- and C-rich motifs just upstream of proximal poly(A) sites. Lastly, we find that reduced APC expression is associated with APA dysregulation in tumor types lacking recurrent APC mutations.

CONCLUSIONS

As APC has been previously identified as an RNA-binding protein that preferentially binds 3' UTRs during mouse neurogenesis, our results suggest that APC promotes proximal poly(A) site use and that APC loss and altered expression contribute to pervasive APA dysregulation in cancers.

Genome-scale exon perturbation screens uncover exons critical for cell fitness

CRISPR-Cas technology has transformed functional genomics, yet understanding of how individual exons differentially shape cellular phenotypes remains limited. Here, we optimized and conducted massively parallel exon deletion and splice-site mutation screens in human cell lines to identify exons that regulate cellular fitness. Fitness-promoting exons are prevalent in essential and highly expressed genes and commonly overlap with protein domains and interaction interfaces. Conversely, fitness-suppressing exons are enriched in nonessential genes, exhibiting lower inclusion levels, and overlap with intrinsically disordered regions and disease-associated mutations. In-depth mechanistic investigation of the screen-hit TAF5 alternative exon-8 revealed that its inclusion is required for assembly of the TFIID general transcription initiation complex, thereby regulating global gene expression output. Collectively, our orthogonal exon perturbation screens established a comprehensive repository of phenotypically important exons and uncovered regulatory mechanisms governing cellular fitness and gene expression.

Cleavage and polyadenylation machinery as a novel targetable vulnerability for human cancer

The role of alternative polyadenylation of mRNA in sustaining aggressive features of tumors is quite well established, as it is responsible for the 3'UTR shortening of oncogenes and subsequent relief from miRNA-mediated repression observed in cancer cells. However, the information regarding the vulnerability of cancer cells to the inhibition of cleavage and polyadenylation (CPA) machinery is very scattered. Only few recent reports show the antitumor activity of pharmacological inhibitors of CPSF3, one among CPA factors. More in general, the fact that deregulated CPA can be seen as a new hallmark of cancer and as a potential reservoir of novel therapeutic targets has never been formalized. Here, to extend our view on the potential of CPA inhibition (CPAi) approaches as anticancer therapies, we systematically tested the fitness of about one thousand cell lines of different cancer types upon depletion of all known CPA factors by interrogating genome-scale CRISPR and RNAi dependency maps of the DepMap project. Our analysis confirmed core and accessory CPA factors as novel vulnerabilities for human cancer, thus highlighting the potential of CPAi as anticancer therapy. Among all, CPSF1 appeared as a promising actionable candidate for drug development, as it showed low dependency scores pancancer and particularly in highly proliferating cells. In a personalized medicine perspective, the observed differential vulnerability of cancer cell lines to selected CPA factors may be used to build up signatures to predict response of individual human tumors to CPAi approaches.