Expression Profiles and Biomarker Potential of Long Non-Coding RNAs H19, NEAT1, MALAT1 and HOTAIR in Locally Advanced Rectal Cancer Patients

Read full text
Authors: Katarina Erić, Jovana Rosić Stojković, Marko Miladinov, Sandra Dragičević, Goran Barišić, Velimir Marković, Katarina Zeljić
Cited by: 1
References: 40

Abstract

Locally advanced rectal cancer (LARC) presents a clinical challenge due to lack of reliable molecular biomarkers for early diagnosis, prognosis, and prediction of response to neoadjuvant chemoradiotherapy (nCRT). Long non-coding RNAs (lncRNAs) have emerged as promising candidates due to their characteristics and regulatory roles. H19, NEAT1, MALAT1 and HOTAIR are lncRNAs deregulated in gastrointestinal cancers, with insufficient data on their biomarker potential in LARC. The study aimed to analyze the diagnostic, prognostic and predictive utility of H19, NEAT1, MALAT1 and HOTAIR in LARC. Relative expression was evaluated by RT-qPCR in tumor and non-tumor tissues from 25 LARC patients before and after nCRT. H19, NEAT1, and MALAT1 showed significantly altered expression in tumor tissue, as well as non-tumor tissue before and after nCRT. H19 expression was significantly higher in tumor vs. non-tumor tissue before treatment and demonstrated moderate potential to discriminate between tumor and non-tumor. None of the lncRNAs showed statistically significant predictive values for nCRT response or association with treatment outcomes in our study, which was limited by the small number of responders. Our results suggest that H19 might be considered as a potential therapeutic target in LARC. Further studies with larger patient groups are required to confirm its diagnostic and prognostic utility.

Fields of Study & Subjects

Cancer-related molecular mechanisms research Colorectal Cancer Surgical Treatments Ferroptosis and cancer prognosis

Publication details

Journal / source
International Journal of Molecular Sciences
Publisher
MDPI AG
Volume
27
Issue
4
Pages
1672–1672
Publication date
9 February 2026
Language
EN