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©The Author(s) 2026.
World J Gastroenterol. Feb 21, 2026; 32(7): 114538
Published online Feb 21, 2026. doi: 10.3748/wjg.v32.i7.114538
Published online Feb 21, 2026. doi: 10.3748/wjg.v32.i7.114538
| Ref. | Study type and population | Biomarkers | Grouped control | AUC | Sensitivity (%) | Specificity (%) |
| Min et al[23] | Prospective observational study; 24 CAA; 53 NC | EV-delivered 9 RNAs, 3 miRNAs, 4 mRNAs, 2 lncRNAs | CAA/NC | 0.880 | ||
| Shi et al[22] | Prospective observational study; 29 CRC; 24 CAA; 22 NC | EV-delivered miR-185-5p | CRC/CAA | 0.700 | 75.86 | |
| CAA/NC | 0.737 | 65.52 | 81.82 | |||
| Raut et al[21] | Retrospective observational study; 52 CRC; 100 CAA; 88 NAA; 173 NC | 7 serum miRNAs, let-7 g-5p, miR-19a-3p, miR-23a-3p, miR-92a-3p, miR-144-5p, miR-21-5p, miR-27a-3p | CRC/CAA | 0.380 | ||
| CAA/NAA | 0.590 | |||||
| NAA/NC | 0.440 | |||||
| Zaki et al[19] | Prospective observational study; 54 CRC; 15 CRA; 15 NC | miR-92a | CRC/CRA | 0.993 | 92.6 | 93.3 |
| CRA/NC | 0.529 | 73.3 | 46.7 | |||
| Qi et al[26] | Clinical experimental study; 80 CRC; 80 CRA | 3 plasma circRNAs, hsa-circ-001978, hsa-circ-105039, hsa-circ-103627 | CRC/CRA | 0.966 | ||
| Han et al[83] | Observational study; 81 CRC; 67 CRA | EV-delivered 3 miRNAs, miR-15b, miR-16, miR-21 | CRC/CRA | 85.19 | 82.09 | |
| Wang et al[84] | Case-control study and retrospective cohort study; 42 CRA; 36 NC | miR-1207-5p | CRA/NC | 0.953 | 90.48 | 80.56 |
| Pan and Miao[85] | Experimental study; 50 CAA; 50 NC | miR-592 | CAA/NC | 0.747 | 68.60 | 78.1 |
| Li et al[25] | Retrospective observational study; 102 CRC; 30 CRA | CircPanel, hsa-circ-0001900, hsa-circ-0001178, hsa-circ-0005927 | CRC/CRA | 0.818 | 84.31 | 70.0 |
| Xu et al[34] | Experimental study; 30 CRA; 42 NC | SNHG11, ZFAS1 | CRA/NC | 0.868 | ||
| CRA/NC | 0.850 | |||||
| Wang et al[31] | Case-control study; 40 CRA; 40 NC | piR-020619, piR-020450, piR-020619 + piR-020450 | CRA/NC | 0.701 | 82.50 | 55.90 |
| CRA/NC | 0.689 | 67.50 | 72.50 | |||
| CRA/NC | 0.779 | 72.50 | 76.60 | |||
| Marcuello et al[86] | Prospective observational study; 74 CAA; 80 NC | 6 serum miRNAs, miR-15b-5p, miR-18a-5p, miR-29a-3p, miR-335-5p, miR-19a-3p, miR-19b-3p | CAA/NC | 0.800 | 81 | 63 |
| Liu et al[87] | Observational study and experimental study; 80 CRC; 50 CRA; 30 NC | miR-1290, miR-320d, miR-1290 + miR-320d | CRA/NC | 0.780 | 75.53 | 87.41 |
| CRA/NC | 0.740 | 79.64 | 71.55 | |||
| CRA/NC | 0.820 | 77.46 | 88.69 | |||
| Roberts et al[77] | Cross-sectional study; 7 CRA; 12 NC | 2 small RNAs, a miR-335-5p isoform, an unannotated small RNA | CRA/NC | 0.833 | ||
| Uratani et al[88] | Retrospective observational study; 26 CRA; 47 NC | miR-21, miR-29a, miR-92a | CRA/NC | 0.755 | 73.1 | 68.1 |
| CRA/NC | 0.676 | 72.0 | 66.0 | |||
| CRA/NC | 0.747 | 65.4 | 78.7 | |||
| Carter et al[89] | Prospective observational study; 25 CRC; 25 CAA | 4 plasma miRNAs, miR-29c, miR-122, miR-192, miR-374a | CRC/CAA | 0.980 | 72.0-80.0 | 100 |
| Zheng et al[90] | Prospective observational study; 117 CAC; 73 CRA; 102 NC | 4 serum miRNAs, miR-19a-3p, miR-223-3p, miR-92a-3p, miR-422a | CAC/CRA | 0.886 | ||
| CRA/NC | 0.765 | |||||
| Wang et al[91] | Case-control study; 43 CAA; 58 NC | miR-601, miR-760, miR-601 + miR-760 | CAA/NC | 0.638 | 72.1 | 51.7 |
| CAA/NC | 0.682 | 69.8 | 62.1 | |||
| CAA/NC | 0.683 | 72.1 | 62.1 | |||
| Kanaan et al[92] | Retrospective observational study; 45 CRC; 16 CRA; 26 NC | 8 plasma miRNAs, miR-532-3p, miR-331, miR-195, miR-17, miR-142-3p, miR-15b, miR-532, miR-652. 5 plasma miRNAs, miR-331, miR-15b, miR-21, miR-142-3p, miR-339-3p | CRA/NC | 0.868 | 88 | 64 |
| CRC/CRA | 0.856 | 91 | 69 | |||
| Huang et al[18] | Retrospective observational study; 37 CAA; 59 NC | miR-29a, miR-92a, miR-29a + miR-92a | CAA/NC | 0.769 | 62.2 | 84.7 |
| CAA/NC | 0.749 | 64.9 | 81.4 | |||
| CAA/NC | 0.773 | 73.0 | 79.7 |
| Ref. | Study type | Biomarkers | AUC | Sensitivity (%) | Specificity (%) |
| Wang et al[93] | Cross-sectional study | MethyDT test: Methylation levels of NTMT1 and MAP3K14-AS1 | 0.679 | 43.5 | |
| Wu et al[94] | Prospective study | ColonUSK test: Two CpG-rich subregions in the promoter of the Septin9 gene | 25.26 | 93.53 | |
| Zhao et al[53] | Prospective cohort study | ColonSecure test: 149 hypermethylated CpG sites | 89.7 | ||
| Cai et al[51] | Clinical experimental study | ColonAiQ test: 6 methylation markers | 0.84 | 42.1 | |
| Wu et al[95] | Retrospective observational study | cfDNA methylation model: 11 methylation biomarkers | 0.85 | 76.5 | 82.7 |
| Zhao et al[50] | Clinical experimental study | SpecColon test: Methylated SFRP2 and SDC2 | 58.3 | 87.9 | |
| Zhao et al[96] | Clinical experimental study | ColoDefense test: Methylated SEPT9 and SDC2 | 0.754 | 47.8 | 92.8 |
| Potter et al[97] | Prospective clinical study | Epi proColon test: Methylation of the SEPT9 gene promoter region | 22 | 78.8 | |
| Church et al[98] | Prospective observational study | Epi proColon test: Methylated SEPT9 DNA | 14.4 | 88.4 |
| Ref. | Detection methods | Biomarkers | AUC | Sensitivity (%) | Specificity (%) |
| Jin et al[99] | PEA + ML | TGM2, MMP7, GDF15, RNASE3, REG1B | 0.921 | ||
| Zhang et al[56] | DIA-MS + ML | APOA4, SERPINA3, GPX3, SNCA, YKT6, RAN, ENPP2, ANTXR1, THBS4, SPP2 | 1.0 | ||
| Hua et al[59] | DDA + DIA + MRM + ML | LRG1, C9, IGFBP2, CNDP1, ITIH3, SERPINA1, ORM1 | 49 | ||
| Huang et al[57] | 4D-DIA + CRC-EV array + ML | EVs-FIBG, EVs-PDGF-β, EVs-TGF-β | 0.822 (training set); 0.767 (testing set) | 68.0 (training set); 56.0 (testing set) | 94.9 (training set); 89.3 (testing set) |
| Ref. | Study type and population | Biomarkers | Grouped control | AUC | Sensitivity (%) | Specificity (%) |
| Huang et al[100] | Retrospective multi-center case-control study; 219 CRC; 164 CRA | 6 plasma metabolites, 3 lipids and lipid-like molecules, 2 organic oxygen compounds, 1 phenylpropanoid | CRC/CRA | 0.905 | 84.0 | 81.7 |
| Huang et al[100] | Retrospective multi-center case-control study; 164 CRA; 219 NC | 7 plasma metabolites, 5 lipids and lipid-like molecules, 1 organic nitrogen compound, 1 organic acid | CRA/NC | 0.997 | 97.0 | 97.7 |
| Sun et al[70] | Multi-center case-control study; 111 CRC; 143 CRA; 119 NC | 17 plasma metabolites | CRC/CRA | 0.928 | 89.0 | 88.7 |
| CRA/NC | 0.968 | 87.0 | 97.2 | |||
| Guo et al[101] | Observational study; 19 CRC; 26 CRA; 20 NC | 5 serum metabolites and 5 gut bacteria, 7 serum metabolites and 6 gut bacteria | CRC/CRA | 0.850 | 84.21 | 76.92 |
| CRA/NC | 0.880 | 75.00 | 96.15 | |||
| Zhang et al[66] | Clinical case-control study; 200 CRC; 160 CRA | 3 plasma metabolites ribitol, beta-hydroxybutyric acid, lactic acid | CRC/CRA | 0.960 |
- Citation: Qi CY, Wang R, Wang JW, Ye GL, Yang P, Zhou YP. Noninvasive diagnosis of colorectal adenoma: The emerging potential of blood-based biomarkers. World J Gastroenterol 2026; 32(7): 114538
- URL: https://www.wjgnet.com/1007-9327/full/v32/i7/114538.htm
- DOI: https://dx.doi.org/10.3748/wjg.v32.i7.114538
