» Articles » PMID: 38563016

Expression Profiles and Gene Set Enrichment Analysis of the Transcriptomes from the Cancer Tissue, White Adipose Tissue and Paracancer Tissue with Colorectal Cancer

Overview
Journal PeerJ
Date 2024 Apr 2
PMID 38563016
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Colorectal cancer (CRC) is one of the most common cancers worldwide and is related to diet and obesity. Currently, crosstalk between lipid metabolism and CRC has been reported; however, the specific mechanism is not yet understood. In this study, we screened differentially expressed long non-coding RNAs (lncRNAs) and mRNAs from primary cancer, paracancer, and white adipose tissue of CRC patients. We screened and analyzed the genes differentially expressed between primary and paracancer tissue and between paracancer and white adipose tissue but not between primary and white adipose tissue. According to the results of the biological analysis, we speculated a lncRNA (MIR503HG) that may be involved in the crosstalk between CRC and lipid metabolism through exosome delivery.

Methods: We screened differentially expressed long non-coding RNAs (lncRNAs) and mRNAs from primary cancer, paracancer, and white adipose tissue of CRC patients. We screened and analyzed the genes differentially expressed between primary and paracancer tissue and between paracancer and white adipose tissue but not between primary and white adipose tissue.

Results: We speculated a lncRNA (MIR503HG) that may be involved in the crosstalk between CRC and lipid metabolism through exosome delivery.

Conclusions: In this study, the findings raise the possibility of crosstalk between lipid metabolism and CRC through the exosomal delivery of lncRNAs.

References
1.
Duan Q, Cai L, Zheng K, Cui C, Huang R, Zheng Z . lncRNA KCNQ1OT1 knockdown inhibits colorectal cancer cell proliferation, migration and invasiveness via the PI3K/AKT pathway. Oncol Lett. 2020; 20(1):601-610. PMC: 7286112. DOI: 10.3892/ol.2020.11619. View

2.
Cao Z, Pan X, Yang Y, Huang Y, Shen H . The lncLocator: a subcellular localization predictor for long non-coding RNAs based on a stacked ensemble classifier. Bioinformatics. 2018; 34(13):2185-2194. DOI: 10.1093/bioinformatics/bty085. View

3.
Azulay E, Cooks T, Elkabets M . Potential oncogenic roles of mutant-p53-derived exosomes in the tumor-host interaction of head and neck cancers. Cancer Immunol Immunother. 2020; 69(2):285-292. PMC: 11027799. DOI: 10.1007/s00262-019-02450-5. View

4.
Sung H, Ferlay J, Siegel R, Laversanne M, Soerjomataram I, Jemal A . Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021; 71(3):209-249. DOI: 10.3322/caac.21660. View

5.
GRODIN J, Siiteri P, MACDONALD P . Source of estrogen production in postmenopausal women. J Clin Endocrinol Metab. 1973; 36(2):207-14. DOI: 10.1210/jcem-36-2-207. View