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      Differential expression of mRNA 3′-end isoforms in cervical and ovarian cancers

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          Abstract

          Early diagnosis and therapeutic targeting are continuing challenges for gynecological cancers. Here, we focus on cancer transcriptomes and describe the differential expression of 3′UTR isoforms in patients using an algorithm to detect differential poly(A) site usage. We find primarily 3′UTR shortening cases in cervical cancers compared with the normal cervix. We show differential expression of alternate 3′-end isoforms of FOXP1, VPS4B, and OGT in HPV16-positive patients who develop high-grade cervical lesions compared with the infected but non-progressing group. In contrast, in ovarian cancers, 3′UTR lengthening is more evident compared with normal ovary tissue. Nevertheless, highly malignant ovarian tumors have unique 3′UTR shortening events (e.g., CHRAC1, SLC16A1, and TOP2A), some of which correlate with upregulated protein levels in tumors. Overall, our study shows isoform level deregulation in gynecological cancers and highlights the complexity of the transcriptome. This transcript diversity could help identify novel cancer genes and provide new possibilities for diagnosis and therapy.

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          Most cited references49

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          UALCAN: A Portal for Facilitating Tumor Subgroup Gene Expression and Survival Analyses1

          Genomics data from The Cancer Genome Atlas (TCGA) project has led to the comprehensive molecular characterization of multiple cancer types. The large sample numbers in TCGA offer an excellent opportunity to address questions associated with tumo heterogeneity. Exploration of the data by cancer researchers and clinicians is imperative to unearth novel therapeutic/diagnostic biomarkers. Various computational tools have been developed to aid researchers in carrying out specific TCGA data analyses; however there is need for resources to facilitate the study of gene expression variations and survival associations across tumors. Here, we report UALCAN, an easy to use, interactive web-portal to perform to in-depth analyses of TCGA gene expression data. UALCAN uses TCGA level 3 RNA-seq and clinical data from 31 cancer types. The portal's user-friendly features allow to perform: 1) analyze relative expression of a query gene(s) across tumor and normal samples, as well as in various tumor sub-groups based on individual cancer stages, tumor grade, race, body weight or other clinicopathologic features, 2) estimate the effect of gene expression level and clinicopathologic features on patient survival; and 3) identify the top over- and under-expressed (up and down-regulated) genes in individual cancer types. This resource serves as a platform for in silico validation of target genes and for identifying tumor sub-group specific candidate biomarkers. Thus, UALCAN web-portal could be extremely helpful in accelerating cancer research. UALCAN is publicly available at http://ualcan.path.uab.edu.
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            The Genotype-Tissue Expression (GTEx) project.

            Genome-wide association studies have identified thousands of loci for common diseases, but, for the majority of these, the mechanisms underlying disease susceptibility remain unknown. Most associated variants are not correlated with protein-coding changes, suggesting that polymorphisms in regulatory regions probably contribute to many disease phenotypes. Here we describe the Genotype-Tissue Expression (GTEx) project, which will establish a resource database and associated tissue bank for the scientific community to study the relationship between genetic variation and gene expression in human tissues.
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              RNA-Seq: a revolutionary tool for transcriptomics.

              RNA-Seq is a recently developed approach to transcriptome profiling that uses deep-sequencing technologies. Studies using this method have already altered our view of the extent and complexity of eukaryotic transcriptomes. RNA-Seq also provides a far more precise measurement of levels of transcripts and their isoforms than other methods. This article describes the RNA-Seq approach, the challenges associated with its application, and the advances made so far in characterizing several eukaryote transcriptomes.
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                Author and article information

                Contributors
                Journal
                Heliyon
                Heliyon
                Heliyon
                Elsevier
                2405-8440
                09 September 2023
                September 2023
                09 September 2023
                : 9
                : 9
                : e20035
                Affiliations
                [a ]Department of Biological Sciences, Middle East Technical University (METU), Dumlupinar Blv No: 1 Universiteler Mah., Cankaya, Ankara, 06800, Turkiye
                [b ]Gynecology Clinic, Ugur Mumcu Cad 17/2, Cankaya, Ankara, Turkiye
                [c ]Department of Computer Engineering, Middle East Technical University (METU), Dumlupinar Blv No: 1, Universiteler Mah., Ankara, 06800, Turkiye
                Author notes
                []Corresponding author. erson@ 123456metu.edu.tr
                [1]

                Current address: Computer Science Department, Colorado School of Mines, 1500 Illinois St., Golden, CO 80401 USA.

                Article
                S2405-8440(23)07243-2 e20035
                10.1016/j.heliyon.2023.e20035
                10559779
                37810050
                28ce9568-538b-40c4-8163-2b1bfa8039b5
                © 2023 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 2 September 2022
                : 26 July 2023
                : 8 September 2023
                Categories
                Research Article

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