» Articles » PMID: 38551987

Circulating MiRNA Signature Predicts Cancer Incidence in Lynch Syndrome-A Pilot Study

Overview
Specialty Oncology
Date 2024 Mar 29
PMID 38551987
Authors
Affiliations
Soon will be listed here.
Abstract

Prevention Relevance: The development of cancer risk prediction models is key to improving the survival of patients with LS. This pilot study describes a serum miRNA signature-based risk prediction model that predicts LS cancer incidence within 4 years, although further validation is required.

References
1.
Snel B, Lehmann G, Bork P, Huynen M . STRING: a web-server to retrieve and display the repeatedly occurring neighbourhood of a gene. Nucleic Acids Res. 2000; 28(18):3442-4. PMC: 110752. DOI: 10.1093/nar/28.18.3442. View

2.
Love M, Huber W, Anders S . Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014; 15(12):550. PMC: 4302049. DOI: 10.1186/s13059-014-0550-8. View

3.
Seppala T, Burkhart R, Katona B . Hereditary colorectal, gastric, and pancreatic cancer: comprehensive review. BJS Open. 2023; 7(3). PMC: 10172688. DOI: 10.1093/bjsopen/zrad023. View

4.
Sticht C, de la Torre C, Parveen A, Gretz N . miRWalk: An online resource for prediction of microRNA binding sites. PLoS One. 2018; 13(10):e0206239. PMC: 6193719. DOI: 10.1371/journal.pone.0206239. View

5.
Peltomaki P, Nystrom M, Mecklin J, Seppala T . Lynch Syndrome Genetics and Clinical Implications. Gastroenterology. 2023; 164(5):783-799. DOI: 10.1053/j.gastro.2022.08.058. View