Abstract

Shortening of 3′UTRs (3′US) through alternative polyadenylation is a post-transcriptional mechanism that regulates the expression of hundreds of genes in human cancers. In breast cancer, different subtypes of tumor samples, such as estrogen receptor positive and negative (ER+ and ER–), are characterized by distinct molecular mechanisms, suggesting possible differences in the post-transcriptional regulation between the subtype tumors. In this study, based on the profound tumorigenic role of 3′US interacting with competing-endogenous RNA (ceRNA) network (3′US-ceRNA effect), we hypothesize that the 3′US-ceRNA effect drives subtype-specific tumor growth. However, we found that the subtypes are available in different sample sizes, biasing the ceRNA network size and disabling the fair comparison of the 3′US-ceRNA effect. Using normalized Laplacian matrix eigenvalue distribution, we addressed this bias and built tumor ceRNA networks comparable between the subtypes. Based on the comparison, we identified a novel role of housekeeping (HK) genes as stable and strong miRNA sponges (sponge HK genes) that synchronize the ceRNA networks of normal samples (adjacent to ER+ and ER– tumor samples). We further found that distinct 3′US events in the ER- tumor break the stable sponge effect of HK genes in a subtype-specific fashion, especially in association with the aggressive and metastatic phenotypes. Knockdown of NUDT21 further suggested the role of 3′US-ceRNA effect in repressing HK genes for tumor growth. In this study, we identified 3′US-ceRNA effect on the sponge HK genes for subtype-specific growth of ER- tumors.

Highlights

  • 70% of human genes contain multiple polyadenylation sites in the 3′-untranslated region (3′-UTR) (Mayr and Bartel, 2009)

  • We found that the estrogen receptor (ER)+ and ER- sample pairs have similar numbers of total 3′US genes and 3′-UTR lengthening (3′UL) genes (Figure 1A)

  • To investigate the role of 3′US-competing-endogenous RNA (ceRNA) effect (Park et al, 2018b) for ER- vs. ER+ breast tumors, we built the ceRNA networks that are comparable to each other subtype by addressing the bias due to the different numbers of samples (72 for ER+ and 20 for ER- in TCGA)

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Summary

Introduction

70% of human genes contain multiple polyadenylation (polyA) sites in the 3′-untranslated region (3′-UTR) (Mayr and Bartel, 2009). 3′US events add prognostic power beyond common clinical and molecular covariates in cancer patients (Xia et al, 2014) and are associated with drug sensitivity in cancer cell lines (Xiang et al, 2018). These results suggest that APA events, both 3′-UTR shortening and lengthening, play important roles in cancer etiology and treatments

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