Circulating MicroRNAs as Biomarkers of Colorectal Cancer: Results From a Genome-Wide Profiling and Validation Study

Giraldez, María D.; Lozano, Juan José; Ramirez, Georgina; Hijona, Elizabeth; Bujanda, Luís; Castells, Antoni; Gironella, Meritxell

doi:10.1016/j.cgh.2012.12.009

Cited by 157 publications

(135 citation statements)

References 23 publications

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“…The categories of specimens included colorectal tissue (2 studies, 15.4%), plasma (7 studies, 53.8%), serum (1 study, 7.7%) and feces (3 studies, 23.1%). Six studies (Ng et al, 2009;Pu et al, 2010;Kalimutho et al, 2011;Kanaan et al, 2012;Wu et al, 2012) evaluated a single microRNA as the diagnostic biomarker, while the other seven studies Koga et al, 2010;Kanaan et al, 2012;Giraldez et al, 2013;Wang et al, 2013a;Wang et al, 2013b) focused on multiple microRNAs for detecting CRC. In total, 23 microRNAs (miR-1, miR-7, miR-15b, miR-17, miR-18a, miR-19a, miR-19b, miR-20a, miR-21, miR-29a, miR-31, miR-92a, miR-92, miR-93, miR-133a, miR-135a, miR-135b, miR-144*, miR-221, miR-375, miR-409-3p, miR-424, miR-760) using as diagnostic biomarkers involved in this meta-analysis.…”

Section: Characteristics and Quality Of The Included Studiesmentioning

confidence: 99%

“…Of the 13 included studies, four (Ng et al, 2009;Koga et al, 2010;Kalimutho et al, 2011;Kanaan et al, 2012) had QUADAS score ≥ 10, and the other nine Pu et al, 2010;Kanaan et al, 2012;Wu et al, 2012;Giraldez et al, 2013;Wang et al, 2013a;Wang et al, 2013b) had a QUADAS score < 10. Most studies (10/13) recruited a group known to have the target disorder and a group of healthy controls, which may lead to spectrum bias.…”

Section: Characteristics and Quality Of The Included Studiesmentioning

confidence: 99%

“…Most studies (10/13) recruited a group known to have the target disorder and a group of healthy controls, which may lead to spectrum bias. Eight studies (Ng et al, 2009;Koga et al, 2010;Pu et al, 2010;Kanaan et al, 2012;Wang et al, 2013a;Wang et al, 2013b) used histopathologic analysis as the standard test, whereas the remaining five Koga et al, 2010;Pu et al, 2010;Kalimutho et al, 2011;Wu et al, 2012;Giraldez et al, 2013) used histopathologic analysis and colonoscopy as the standard test. One study (Pu et al, 2010) did not report the uninterpretable index test results.…”

Section: Characteristics and Quality Of The Included Studiesmentioning

confidence: 99%

“…All studies clearly stated that the results of the standard test were interpreted blind to the results of index test. However, it was unclear whether the index test results were interpreted without knowledge of the results of the standard test in most studies Koga et al, 2010;Pu et al, 2010;Kanaan et al, 2012;Wu et al, 2012;Giraldez et al, 2013;Wang et al, 2013a;Wang et al, 2013b). It may cause review bias.…”

Section: Characteristics and Quality Of The Included Studiesmentioning

confidence: 99%

“…Studies have demonstrated that microRNAs play important roles in the multistep carcinogenesis process through the dysregulation of oncogenes and tumor suppressor genes (Zhang et al, 2007). Aberrant expression of microRNAs is also found in CRC tissue, blood and feces (Ng et al, 2009;Huang et al, 2010;Koga et al, 2010;Pu et al, 2010;Kalimutho et al, 2011;Kanaan et al, 2012;Wu et al, 2012;Giraldez et al, 2013;Wang et al, 2013a;Wang et al, 2013b). In recent years, an increasing number of studies utilizing microRNAs in blood or tissue samples as diagnostic biomarkers for CRC have been reported.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Limited Diagnostic Value of microRNAs for Detecting Colorectal Cancer: A Meta-analysis

Zhou

Dong²,

Yang³

et al. 2013

Asian Pacific Journal of Cancer Prevention

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Section: Characteristics and Quality Of The Included Studiesmentioning

confidence: 99%

Section: Characteristics and Quality Of The Included Studiesmentioning

confidence: 99%

Section: Characteristics and Quality Of The Included Studiesmentioning

confidence: 99%

Section: Characteristics and Quality Of The Included Studiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Limited Diagnostic Value of microRNAs for Detecting Colorectal Cancer: A Meta-analysis

Zhou

Dong²,

Yang³

et al. 2013

Asian Pacific Journal of Cancer Prevention

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Blood‐derived DNA methylation predictors of mortality discriminate tumor and healthy tissue in multiple organs

et al. 2020

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Evidence has shown that certain methylation markers derived from blood can mirror corresponding methylation signatures in internal tissues. In the current study, we aimed to investigate two strong epigenetic predictors for life span, derived from blood DNA methylation data, in tissue samples of solid cancer patients. Using data from the Cancer Genome Atlas (TCGA) and the German DACHS study, we compared a mortality risk score (MRscore) and DNAmPhenoAge in paired tumor and adjacent normal tissue samples of patients with lung (N = 69), colorectal (n = 299), breast (n = 90), head/neck (n = 50), prostate (n = 50), and liver (n = 50) cancer. To explore the concordance across tissue and blood, we additionally assessed the two markers in blood samples of colorectal cancer (CRC) cases and matched controls (n = 93) in the DACHS+ study. The MRscore was significantly elevated in tumor tissues compared to normal tissues of all cancers except prostate cancer, for which an opposite pattern was observed. DNAmPhenoAge was consistently higher in all tumor tissues. The MRscore discriminated lung, colorectal, and prostate tumor tissues from normal tissues with very high accuracy [AUCs of 0.87, 0.99 (TCGA) /0.94 (DACHS), and 0.92, respectively]. DNAmPhenoAge accurately discriminated five types of tumor tissues from normal tissues (except prostate cancer), with AUCs of 0.82–0.93. The MRscore was also significantly higher in blood samples of CRC cases than in controls, with areas under the curve (AUC) of 0.74, whereas DNAmPhenoAge did not distinguish cases from controls, with AUC of 0.54. This study provides compelling evidence that blood‐derived DNAm markers could reflect methylation changes in less accessible tissues. Further research should explore the potential use of these findings for cancer diagnosis and early detection.

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Plasma miRNA can detect colorectal cancer, but how early?

et al. 2018

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Colorectal cancer (CRC) is a major cause of deaths worldwide but has a good prognosis if detected early. The need for efficient, preferable non‐ or minimally invasive, inexpensive screening tools is therefore critical. We analyzed 12 miRNAs in pre‐ and postdiagnostic plasma samples to evaluate their potential as CRC screening markers. We used a unique study design with two overlapping cohorts, allowing analysis of pre‐ and postdiagnostic samples from 58 patients with CRC and matched healthy controls. Plasma concentrations of miR‐15b, ‐16, ‐18a, ‐19a, 21, ‐22, ‐25, ‐26a, ‐29c, ‐142‐5p, ‐150, and ‐192 were measured by semi‐quantitative real‐time PCR. Concentrations of miR‐18a, ‐21, ‐22, and ‐25 in plasma from patients with CRC were significantly altered compared to healthy controls. Combined as a multimarker panel, they detected CRC with an AUC of 0.93. Furthermore, levels of these three miRNAs also showed different levels in the prediagnostic case samples close to diagnosis. Only miR‐21‐levels were elevated several years before diagnosis. Plasma levels of miR‐18a, ‐21, ‐22, and ‐25 show promise as screening biomarkers for CRC. However, based on our unique analysis of prediagnostic and postdiagnostic samples from the same patients, we conclude that circulating miRNAs elevated at diagnosis may not automatically be suitable for CRC screening, if the increase occurs too close to clinical diagnosis.

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Circulating MicroRNAs as Biomarkers of Colorectal Cancer: Results From a Genome-Wide Profiling and Validation Study

Cited by 157 publications

References 23 publications

Limited Diagnostic Value of microRNAs for Detecting Colorectal Cancer: A Meta-analysis

Limited Diagnostic Value of microRNAs for Detecting Colorectal Cancer: A Meta-analysis

Blood‐derived DNA methylation predictors of mortality discriminate tumor and healthy tissue in multiple organs

Plasma miRNA can detect colorectal cancer, but how early?

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