Literature DB >> 33531021

An edge-based statistical analysis of long non-coding RNA expression profiles reveals a negative association between Parkinson's disease and colon cancer.

Suyan Tian1, Mingyue Zhang2, Zhiming Ma3.   

Abstract

BACKGROUND: Colon cancer (CC) is one of the most common malignant tumors, while Parkinson's disease (PD) is the second most common neurodegenerative disorder. Recent accumulating evidence indicates that these two diseases are associated with each other. Also, from the perspective of long non-coding RNAs, some well-known genes such as H19 and PVT1 can link these two diseases together. Several studies have shown that patients with PD had a decreased risk of developing CC compared with patients without PD. However, controversies surround the relationship between PD and CC, and to date, no concordant conclusion has been drawn.
METHODS: In this study, we aimed to assess the association between these two diseases based on lncRNA-to-lncRNA interactions. Motivated by the weighted gene co-expression network analysis method, a customized procedure was proposed and used to identify differentially correlated edges (DCEs) in the respective interaction networks for PD and CC and explore how these two diseases are linked.
RESULTS: Of the two sets of DCEs for PD and CC, 16 pairs overlapped. Among them, 15 edges had opposite signs, with positive signs for CC indicating a gain of connectivity, whereas negative signs for PD indicating a loss of connectivity.
CONCLUSIONS: By using the lncRNA expression profiles, and a customized procedure, an answer to the question about how PD and CC are associated is provided.

Entities:  

Keywords:  Association; Colon cancer; Edge; Long non-coding RNA (lncRNA); Parkinson’s disease; Weighted gene co-expression network (WGCNA)

Year:  2021        PMID: 33531021      PMCID: PMC7851899          DOI: 10.1186/s12920-021-00882-6

Source DB:  PubMed          Journal:  BMC Med Genomics        ISSN: 1755-8794            Impact factor:   3.063


  44 in total

1.  The KEGG databases at GenomeNet.

Authors:  Minoru Kanehisa; Susumu Goto; Shuichi Kawashima; Akihiro Nakaya
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

2.  Cancer risk in patients with Parkinson's disease in South Korea: A nationwide, population-based cohort study.

Authors:  Joo-Hyun Park; Do-Hoon Kim; Yong-Gyu Park; Do-Young Kwon; Moonyoung Choi; Jin-Hyung Jung; Kyungdo Han
Journal:  Eur J Cancer       Date:  2019-06-21       Impact factor: 9.162

3.  Differential risks of cancer types in people with Parkinson's disease: a national record-linkage study.

Authors:  Eugene Liat Hui Ong; Raph Goldacre; Michael Goldacre
Journal:  Eur J Cancer       Date:  2014-07-24       Impact factor: 9.162

4.  Parkinson's disease and colorectal cancer risk-A nested case control study.

Authors:  Ben Boursi; Ronac Mamtani; Kevin Haynes; Yu-Xiao Yang
Journal:  Cancer Epidemiol       Date:  2016-05-24       Impact factor: 2.984

5.  Molecular evidence of impaired iron metabolism and its association with Parkinson's disease progression.

Authors:  Haitao Chi; Wei Tang; Ying Bai
Journal:  3 Biotech       Date:  2020-03-19       Impact factor: 2.406

6.  p21 expression in colon cancer and modifying effects of patient age and body mass index on prognosis.

Authors:  Shuji Ogino; Katsuhiko Nosho; Kaori Shima; Yoshifumi Baba; Natsumi Irahara; Gregory J Kirkner; Aditi Hazra; Immaculata De Vivo; Edward L Giovannucci; Jeffrey A Meyerhardt; Charles S Fuchs
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-09-01       Impact factor: 4.254

Review 7.  Genetics meets pathology - an increasingly important relationship.

Authors:  David T Bonthron; William D Foulkes
Journal:  J Pathol       Date:  2017-01       Impact factor: 7.996

8.  Pan-cancer transcriptome analysis reveals long noncoding RNAs with conserved function.

Authors:  Christopher R Cabanski; Nicole M White; Ha X Dang; Jessica M Silva-Fisher; Corinne E Rauck; Danielle Cicka; Christopher A Maher
Journal:  RNA Biol       Date:  2015       Impact factor: 4.652

9.  Co-expression network analysis identified hub genes critical to triglyceride and free fatty acid metabolism as key regulators of age-related vascular dysfunction in mice.

Authors:  Huimin Li; Xinhui Wang; Xinyue Lu; Hongxin Zhu; Sheng Li; Shiwei Duan; Xinzhi Zhao; Fuquan Zhang; Gil Alterovitz; Fudi Wang; Qiang Li; Xiao-Li Tian; Mingqing Xu
Journal:  Aging (Albany NY)       Date:  2019-09-12       Impact factor: 5.682

10.  A genomic pathway approach to a complex disease: axon guidance and Parkinson disease.

Authors:  Timothy G Lesnick; Spiridon Papapetropoulos; Deborah C Mash; Jarlath Ffrench-Mullen; Lina Shehadeh; Mariza de Andrade; John R Henley; Walter A Rocca; J Eric Ahlskog; Demetrius M Maraganore
Journal:  PLoS Genet       Date:  2007-06       Impact factor: 5.917

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.