# Evaluating MiRNAs in Blood-Based Liquid Biopsy for Early-Onset Colorectal Cancer Detection: A Systematic Review and Meta-Analysis

**Authors:** Aman Ullah, Mustafa Ghulam, Jiahao Liu, Sanfei Peng, Yuhan Yin, Sihan Wu, Yang Fu

PMC · DOI: 10.3390/cancers18050720 · Cancers · 2026-02-24

## TL;DR

This study reviews blood tests using microRNAs to detect early-onset colorectal cancer in young adults, finding them promising but needing more validation.

## Contribution

The study provides a systematic review and meta-analysis of miRNA-based blood tests for early-onset colorectal cancer detection.

## Key findings

- Pooled sensitivity and specificity of miRNA tests for EOCRC were 84.4% and 85.7%, respectively.
- Key pathways like Wnt/β-catenin and PI3K/AKT were identified as relevant in miRNA cancer detection.
- High heterogeneity and risk of bias in study designs were observed, indicating a need for standardized research.

## Abstract

Colorectal cancer is increasingly being found in younger adults under age 50, highlighting a need for easier early detection methods. This research reviewed existing studies on a promising type of blood test that looks for tiny molecules called microRNAs, which are often released by cancer cells. Our goal was to assess how accurate these single-molecule blood tests are at spotting early-onset colorectal cancer. We found that, overall, these tests show high accuracy, meaning they may have potential relevance for future screening applications for younger people. While these results are encouraging for future cancer detection, more standardized and large-scale studies are needed to confirm their reliability before they can be used widely in clinics.

Background: A significant rise is observed in the incidence of early-onset colorectal cancer (EOCRC) worldwide, demanding discovery of promising non-invasive diagnostic biomarkers. This systematic review and meta-analysis evaluated the diagnostic accuracy of single circulating microRNAs (miRNAs) for EOCRC detection. Methods: The protocol for this systematic review was prospectively registered with PROSPERO (registration number: CRD420251252155). We systematically searched PubMed, Embase, Web of Science and Scopus through September 2025 following PRISMA 2020 guidelines. Studies stating diagnostic accuracy of single circulating miRNAs in blood samples for histologically confirmed CRC were included. The quality assessment of included studies was done by using QUADAS-2 and bivariate random-effect meta-analysis was performed to calculate pooled diagnostic metrics. Results: Sixteen studies comprising 909 CRC cases and 1214 controls evaluating 22 distinct miRNAs were included. In the primary meta-analysis restricted to early-onset colorectal cancer (EOCRC, <50 years), pooled sensitivity was 84.4% and specificity was 85.7%. Analyses including mixed-age or all CRC populations were conducted as secondary analyses and showed comparable diagnostic performance. Subgroup analysis showed EOCRC patients (<50 years, n = 15) demonstrated sensitivity of 84.4% and specificity of 85.7%. Substantial heterogeneity existed (I2 > 85%). Quality assessment revealed high risk of bias in patient selection (87.5%) and index test domains (87.5%). Mechanistic analysis identified key pathways including Wnt/β-catenin, PI3K/AKT and EMT regulation. Sensitivity analyses confirmed robust estimates and Deeks’ test (p = 0.99) indicated no publication bias. Conclusion: This study has shown that individual circulating miRNAs provide consistent diagnostic accuracy for early-onset colorectal cancer (EOCRC); however, these findings require prospective validation in true screening settings before clinical implementation.

## Linked entities

- **Diseases:** colorectal cancer (MONDO:0005575)

## Full-text entities

- **Genes:** AKT1 (AKT serine/threonine kinase 1) [NCBI Gene 207] {aka AKT, PKB, PKB-ALPHA, PRKBA, RAC, RAC-ALPHA}, CTNNB1 (catenin beta 1) [NCBI Gene 1499] {aka CTNNB, EVR7, MRD19, NEDSDV, armadillo}, PIK3CB (phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit beta) [NCBI Gene 5291] {aka P110BETA, PI3K, PI3KBETA, PIK3C1}
- **Diseases:** CRC (MESH:D015179)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

15 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12985209/full.md

## References

77 references — full list in the complete paper: https://tomesphere.com/paper/PMC12985209/full.md

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Source: https://tomesphere.com/paper/PMC12985209