Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2018 Jan 31;17(1):17.
doi: 10.1186/s12943-018-0770-8.

A coordinate deregulation of microRNAs expressed in mucosa adjacent to tumor predicts relapse after resection in localized colon cancer

Angela Grassi  1 , Lisa Perilli  2   3 , Laura Albertoni  4 , Sofia Tessarollo  5 , Claudia Mescoli  4 , Emanuele D L Urso  6 , Matteo Fassan  4 , Massimo Rugge  4 , Paola Zanovello  7   8
Affiliations

A coordinate deregulation of microRNAs expressed in mucosa adjacent to tumor predicts relapse after resection in localized colon cancer

Angela Grassi et al. Mol Cancer. .

Abstract

Up to 20% of colorectal cancer (CRC) node-negative patients develop loco-regional or distant recurrences within 5 years from surgery. No predictive biomarker able to identify the node-negative subjects at high risk of relapse after curative treatment is presently available.Forty-eight localized (i.e. stage I-II) colon cancer patients who underwent radical tumor resection were considered. The expression of five miRNAs, involved in CRC progression, was investigated by qRT-PCR in both tumor tissue and matched normal colon mucosa.Interestingly, we found that the coordinate deregulation of four miRNAs (i.e. miR-18a, miR-21, miR-182 and miR-183), evaluated in the normal mucosa adjacent to tumor, is predictive of relapse within 55 months from curative surgery.Our results, if confirmed in independent studies, may help to identify high-risk patients who could benefit most from adjuvant therapy. Moreover, this work highlights the importance of extending the search for tissue biomarkers also to the tumor-adjacent mucosa.

Keywords: adjacent mucosa; localized colon cancer; microRNAs; predictive markers; relapse.

PubMed Disclaimer

Conflict of interest statement

Ethics approval and consent to participate

The study was approved by the Ethics Committee of the University Hospital of Padua (n. 57841 December 3rd 2013) and informed consent was obtained from all the patients involved.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
Boxplots of the distribution of –ΔCt values in tumor tissue versus matched normal mucosa for miR-18a, miR-21, miR-182, miR-183 and miR-139. Each dot represents a patient sample. –ΔCt values were calculated using miR-200c as a reference. Differences between cancer tissue (K) and matched normal mucosa (N) samples were analyzed using one-tailed Wilcoxon rank-sum test
Fig. 2
Fig. 2
miR-21/miR-183, miR-18a/182 and miR-18a/183 ratios in tumor-adjacent mucosa predict relapse of colon cancer after bowel resection. a. The three panels show the distribution of miRNA ratio relative expression levels, indicated as 2-ΔCt, in localized colon cancer patients, relapsing (R) and non-relapsing (NR) within 55 months after resection. b. ROC curves generated for the three significant miRNA ratios (p < 0.01) in univariate logistic regression. Corresponding areas under ROC curves (AUC) are detailed in the figure
See this image and copyright information in PMC

References

    1. Siegel RL, Miller KD, Fedewa SA, Ahnen DJ, Meester RG, Barzi A, et al. Colorectal cancer statistics, 2017. CA Cancer J Clin. 2017;67(3):177–193. doi: 10.3322/caac.21395. - DOI - PubMed
    1. Labianca R, Nordlinger B, Beretta GD, Mosconi S, Mandala M, Cervantes A, et al. Early colon cancer: ESMO clinical practice guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2013;24(Suppl 6):vi64–vi72. doi: 10.1093/annonc/mdt354. - DOI - PubMed
    1. Ragusa M, Barbagallo C, Statello L, Condorelli AG, Battaglia R, Tamburello L, et al. Non-coding landscapes of colorectal cancer. World J Gastroenterol. 2015;21(41):11709–11739. doi: 10.3748/wjg.v21.i41.11709. - DOI - PMC - PubMed
    1. Slattery ML, Herrick JS, Pellatt DF, Mullany LE, Stevens JR, Wolff E, et al. Site-specific associations between miRNA expression and survival in colorectal cancer cases. Oncotarget. 2016;7(37):60193–60205. doi: 10.18632/oncotarget.11173. - DOI - PMC - PubMed
    1. Pizzini S, Bisognin A, Mandruzzato S, Biasiolo M, Facciolli A, Perilli L, et al. Impact of microRNAs on regulatory networks and pathways in human colorectal carcinogenesis and development of metastasis. BMC Genomics. 2013;14:589. doi: 10.1186/1471-2164-14-589. - DOI - PMC - PubMed

Publication types

LinkOut - more resources