Differential expression of microRNAs in plasma of patients with colorectal cancer: a potential marker for colorectal cancer screening
Abstract
Objective: MicroRNAs (miRNAs) have been shown to offer great potential in the diagnosis of cancer. We investigated whether plasma miRNAs could discriminate between patients with and without colorectal cancer (CRC). Methods: This study was divided into three phases: (1) marker discovery using real-time PCR-based miRNA profiling on plasma, corresponding cancerous and adjacent non-cancerous colonic tissues of five patients with CRC, along with plasma from five healthy individuals as controls; (2) marker selection and validation by real-time quantitative RT-PCR on a small set of plasma; and (3) independent validation on a large set of plasma from 90 patients with CRC, 20 patients with gastric cancer, 20 patients with inflammatory bowel disease (IBD) and 50 healthy controls. Results: Of the panel of 95 miRNAs analysed, five were upregulated both in plasma and tissue samples. All the five miRNAs were validated on the plasma of 25 patients with CRC and 20 healthy controls. Both miR-17-3p and miR-92 were significantly elevated in the patients with CRC (p<0.0005). The plasma levels of these markers were significantly reduced after surgery in 10 patients with CRC (p<0.05). Further validation with an independent set of plasma samples (n = 180) indicated that miR-92 differentiates CRC from gastric cancer, IBD and normal subjects. This marker yielded a receiver operating characteristic curve area of 88.5%. At a cut-off of 240 (relative expression in comparison to RNU6B snRNA), the sensitivity was 89% and the specificity was 70% in discriminating CRC from control subjects. Conclusion: MiR-92 is significantly elevated in plasma of patients with CRC and can be a potential non-invasive molecular marker for CRC screening.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Among the miRNA biomarkers examined, variation attributable to blood cell effects was greater in magnitude than many differences reported between cancer patients and controls.
“we observed variation attributable to blood cell effects that was greater in magnitude than many of the differences reported between cancer patients and controls (13, 15, 20).”
From Blood Cell Origin of Circulating MicroRNAs: A Cautionary Note for Cancer Biomarker Studies (2012) · cites this paper as [15]
Cited by
Sorted by citations
Arroyo, J. D., Chevillet, J. R., Kroh, E. M., Ruf, I. K., Pritchard, C. C., Gibson, D. F., Mitchell, P. S., Bennett, C. F., Pogosova-Agadjanyan, E. L., Stirewalt, D. L., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1019055108 · Cited by 3,294 · see citing works
Zhang, L., Hou, D., Chen, X., Li, D., Zhu, L., Zhang, Y., Li, J., Bian, Z., Liang, X., Cai, X., et al. (2012) · Cell Research · doi:10.1038/cr.2011.158 · Cited by 1,216 · see citing works
Blood Cell Origin of Circulating MicroRNAs: A Cautionary Note for Cancer Biomarker Studies
Pritchard, C. C., Kroh, E., Wood, B., Arroyo, J. D., Dougherty, K. J., Miyaji, M. M., Tait, J. F., & Tewari, M. (2012) · Cancer Prevention Research · doi:10.1158/1940-6207.capr-11-0370 · Cited by 879 · see citing works
Epigenetics of colorectal cancer: biomarker and therapeutic potential
Jung, G., Hernández-Illán, E., Moreira, L., Balaguer, F., & Goel, A. (2020) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-019-0230-y · Cited by 813 · see citing works
Epigenetic Alterations in Colorectal Cancer: Emerging Biomarkers
Okugawa, Y., Grady, W. M., & Goel, A. (2015) · Gastroenterology · doi:10.1053/j.gastro.2015.07.011 · Cited by 782 · see citing works
Circulating Exosomal microRNAs as Biomarkers of Colon Cancer
Ogata-Kawata, H., Izumiya, M., Kurioka, D., Honma, Y., Yamada, Y., Furuta, K., Gunji, T., Ohta, H., Okamoto, H., Sonoda, H., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0092921 · Cited by 809 · see citing works
Zhang, Y., Fei, M., Xue, G., Zhou, Q., Jia, Y., Li, L., Xin, H., & Sun, S. (2012) · Journal of Cellular and Molecular Medicine · doi:10.1111/j.1582-4934.2011.01291.x · Cited by 236 · see citing works
Yong, F. L., Law, C. W., & Wang, C. W. (2013) · BMC Cancer · doi:10.1186/1471-2407-13-280 · Cited by 176 · see citing works
Plasma miR-17-5p, miR-20a and miR-22 are down-regulated in women with endometriosis
Jia, S.-Z., Yang, Y., Lang, J., Sun, P., & Leng, J. (2013) · Human Reproduction · doi:10.1093/humrep/des413 · Cited by 172 · see citing works
MicroRNAs in the etiology of colorectal cancer: Pathways and clinical implications
Strubberg, A. M., & Madison, B. B. (2017) · Disease Models & Mechanisms · doi:10.1242/dmm.027441 · Cited by 147 · see citing works
Circulating microRNAs as biomarkers for depression: Many candidates, few finalists
Yuan, H., Mischoulon, D., Fava, M., & Otto, M. W. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.06.058 · Cited by 86 · see citing works
Circulating MicroRNAs as Minimally Invasive Biomarkers for Cancer Theragnosis and Prognosis
Cho, W. C. S. (2011) · Frontiers in Genetics · doi:10.3389/fgene.2011.00007 · Cited by 61 · see citing works
Epigenetic Alteration in Colorectal Cancer: Potential Diagnostic and Prognostic Implications
Cao, Q., Tian, Y., Deng, Z., Yang, F., & Chen, E. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25063358 · Cited by 60 · see citing works
Zafari, N., Tarafdari, A. M., Izadi, P., Noruzinia, M., Yekaninejad, M. S., Bahramy, A., & Mohebalian, A. (2021) · Reproductive Sciences · doi:10.1007/s43032-020-00415-z · Cited by 36 · see citing works
miR-21-5p promotes cell proliferation by targeting BCL11B in Thp-1 cells
Zhang, L., Yu, L., Liu, Y., Wang, S., Hou, Z., & Zhou, J. (2020) · Oncology Letters · doi:10.3892/ol.2020.12380 · Cited by 26 · see citing works
- Authors
- Ng, E. K. O., Chong, W. W. S., Jin, H., Lam, E. K. Y., Shin, V. Y., Yu, J., Poon, T. C. W., Ng, S. S. M., & Sung, J. J. Y.
- Venue
- Gut
- Publisher
- BMJ
- Published
- 2009-02-06
- Volume
- 58
- Issue
- 10
- Pages
- 1375-1381
- ISSN
- 0017-5749
- 1468-3288
- Cited by
- 936
- References
- 0
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review