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      A Long Non-coding RNA Signature to Improve Prognostic Prediction of Pancreatic Ductal Adenocarcinoma

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          Abstract

          Background: Pancreatic ductal adenocarcinoma (PDAC) remains one of the most aggressive solid malignant tumors worldwide. Increasing investigations demonstrate that long non-coding RNAs (lncRNAs) expression is abnormally dysregulated in cancers. It is crucial to identify and predict the prognosis of patients for the selection of further therapeutic treatment.

          Methods: PDAC lncRNAs abundance profiles were used to establish a signature that could better predict the prognosis of PDAC patients. The least absolute shrinkage and selection operator (LASSO) Cox regression model was applied to establish a multi-lncRNA signature in the TCGA training cohort ( N = 107). The signature was then validated in a TCGA validation cohort ( N = 70) and another independent Fudan cohort ( N = 46).

          Results: A five-lncRNA signature was constructed and it was significantly related to the overall survival (OS), either in the training or validation cohorts. Through the subgroup and Cox regression analyses, the signature was proven to be independent of other clinic-pathologic parameters. Receiver operating characteristic curve (ROC) analysis also indicated that our signature had a better predictive capacity of PDAC prognosis. Furthermore, ClueGO and CluePedia analyses showed that a number of cancer-related and drug response pathways were enriched in high risk groups.

          Conclusions: Identifying the five-lncRNA signature (RP11-159F24.5, RP11-744N12.2, RP11-388M20.1, RP11-356C4.5, CTC-459F4.9) may provide insight into personalized prognosis prediction and new therapies for PDAC patients.

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          Most cited references28

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          The meaning and use of the area under a receiver operating characteristic (ROC) curve.

          A representation and interpretation of the area under a receiver operating characteristic (ROC) curve obtained by the "rating" method, or by mathematical predictions based on patient characteristics, is presented. It is shown that in such a setting the area represents the probability that a randomly chosen diseased subject is (correctly) rated or ranked with greater suspicion than a randomly chosen non-diseased subject. Moreover, this probability of a correct ranking is the same quantity that is estimated by the already well-studied nonparametric Wilcoxon statistic. These two relationships are exploited to (a) provide rapid closed-form expressions for the approximate magnitude of the sampling variability, i.e., standard error that one uses to accompany the area under a smoothed ROC curve, (b) guide in determining the size of the sample required to provide a sufficiently reliable estimate of this area, and (c) determine how large sample sizes should be to ensure that one can statistically detect differences in the accuracy of diagnostic techniques.
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            Gene regulation by the act of long non-coding RNA transcription

            Long non-protein-coding RNAs (lncRNAs) are proposed to be the largest transcript class in the mouse and human transcriptomes. Two important questions are whether all lncRNAs are functional and how they could exert a function. Several lncRNAs have been shown to function through their product, but this is not the only possible mode of action. In this review we focus on a role for the process of lncRNA transcription, independent of the lncRNA product, in regulating protein-coding-gene activity in cis. We discuss examples where lncRNA transcription leads to gene silencing or activation, and describe strategies to determine if the lncRNA product or its transcription causes the regulatory effect.
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              Gender Differences in Cancer Susceptibility: An Inadequately Addressed Issue

              The gender difference in cancer susceptibility is one of the most consistent findings in cancer epidemiology. Hematologic malignancies are generally more common in males and this can be generalized to most other cancers. Similar gender differences in non-malignant diseases including autoimmunity, are attributed to hormonal or behavioral differences. Even in early childhood, however, where these differences would not apply, there are differences in cancer incidence between males and females. In childhood, few cancers are more common in females, but overall, males have higher susceptibility. In Hodgkin lymphoma, the gender ratio reverses toward adolescence. The pattern that autoimmune disorders are more common in females, but cancer and infections in males suggests that the known differences in immunity may be responsible for this dichotomy. Besides immune surveillance, genome surveillance mechanisms also differ in efficiency between males and females. Other obvious differences include hormonal ones and the number of X chromosomes. Some of the differences may even originate from exposures during prenatal development. This review will summarize well-documented examples of gender effect in cancer susceptibility, discuss methodological issues in exploration of gender differences, and present documented or speculated mechanisms. The gender differential in susceptibility can give important clues for the etiology of cancers and should be examined in all genetic and non-genetic association studies.
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                Author and article information

                Contributors
                Journal
                Front Oncol
                Front Oncol
                Front. Oncol.
                Frontiers in Oncology
                Frontiers Media S.A.
                2234-943X
                08 November 2019
                2019
                : 9
                : 1160
                Affiliations
                [1] 1Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University , Shanghai, China
                [2] 2Department of General Surgery, Huashan Hospital & Cancer Metastasis Institute, Fudan University , Shanghai, China
                [3] 3Department of Breast Surgery, Zhejiang Cancer Hospital , Zhejiang, China
                [4] 4Institutes of Biomedical Sciences, Fudan University , Shanghai, China
                [5] 5Department of Pancreatic Surgery, Pancreatic Disease Institute, Huashan Hospital, Fudan University , Shanghai, China
                [6] 6Department of General, Visceral and Cancer Surgery, University Hospital of Cologne , Cologne, Germany
                [7] 7Institute of Fudan Minhang Academic Health System, Minhang Hospital, Fudan University , Shanghai, China
                Author notes

                Edited by: Zhaohui Huang, Affiliated Hospital of Jiangnan University, China

                Reviewed by: Pieter J. Eichhorn, National University of Singapore, Singapore; Suresh K. Kalangi, Amity University Gurgaon, India

                *Correspondence: Huliang Jia jbl-1@ 123456163.com

                This article was submitted to Cancer Molecular Targets and Therapeutics, a section of the journal Frontiers in Oncology

                †These authors have contributed equally to this work

                Article
                10.3389/fonc.2019.01160
                6857660
                e6281a06-3d29-4de2-97f9-02dfa57dda1a
                Copyright © 2019 Zhou, Wang, Zhou, Zhao, Xia, Chen, Zheng, Xue, Yang, Fu, Yin, Atyah, Qin, Zhao, Bruns, Jia, Ren and Dong.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 02 August 2019
                : 17 October 2019
                Page count
                Figures: 6, Tables: 2, Equations: 0, References: 49, Pages: 13, Words: 7280
                Funding
                Funded by: National Key Research and Development Program of China Stem Cell and Translational Research 10.13039/501100013290
                Funded by: National Natural Science Foundation of China 10.13039/501100001809
                Award ID: 81472672
                Funded by: Shanghai International Science and Technology 10.13039/501100009962
                Categories
                Oncology
                Original Research

                Oncology & Radiotherapy
                pancreatic ductal adenocarcinoma,lncrna,signature,prognosis,overall survival

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