Identification of a stool long non-coding RNAs panel as a potential biomarker for early detection of colorectal cancer

J Clin Lab Anal. 2021 Feb;35(2):e23601. doi: 10.1002/jcla.23601. Epub 2020 Oct 23.

Abstract

Background: The feces of colorectal cancer (CRC) patients contain tumor colonocytes, which constantly shed into the lumen area. Therefore, stool evaluation can be considered as a rapid and low-risk way to directly determine the colon and rectum status. As long non-coding RNAs (lncRNAs) alterations are important in cancer cells fate regulation, we aimed to assess the level of a panel of cancer-related lncRNAs in fecal colonocytes.

Methods: The population study consisted of 150 subjects, including a training set, a validation set, and a group of 30 colon polyps. The expression levels of lncRNAs were evaluated by quantitative real-time PCR (qRT-PCR). The NPInetr and EnrichR tools were used to identify the interactions and functions of lncRNAs.

Results: A total of 10 significantly dysregulated lncRNAs, including CCAT1, CCAT2, H19, HOTAIR, HULC, MALAT1, PCAT1, MEG3, PTENP1, and TUSC7, were chosen for designing a predictive panel. The diagnostic performance of the panel in distinguishing CRCs from the healthy group was AUC: 0.8554 in the training set and 0.8465 in the validation set. The AUC for early CRCs (I-II TNM stages) was 0.8554 in the training set and 0.8465 in the validation set, and for advanced CRCs (III-IV TNM stages) were 0.9281 in the training set and 0.9236 in the validation set. The corresponding AUC for CRCs vs polyps were 0.9228 (I-IV TNM stages), 0.9042 (I-II TNM stages), and 0.9362 (III-IV TNM stages).

Conclusions: These data represented the application of analysis of fecal colonocytes lncRNAs in early detection of CRC.

Keywords: biomarker; colorectal cancer; fecal colonocytes; gene expression; long non-coding RNAs.

MeSH terms

  • Adult
  • Biomarkers, Tumor / genetics*
  • Colonic Polyps / genetics
  • Colorectal Neoplasms / diagnosis
  • Colorectal Neoplasms / genetics*
  • Early Detection of Cancer
  • Feces
  • Female
  • Gene Expression Regulation, Neoplastic
  • Humans
  • Male
  • Middle Aged
  • RNA, Long Noncoding / analysis*
  • RNA, Long Noncoding / genetics
  • RNA, Long Noncoding / isolation & purification
  • Reproducibility of Results

Substances

  • Biomarkers, Tumor
  • RNA, Long Noncoding