Copyright: ©Author(s) 2026.
World J Gastrointest Surg. Oct 27, 2026; 18(10): 120555
Published online Oct 27, 2026. doi: 10.4240/wjgs.120555
Published online Oct 27, 2026. doi: 10.4240/wjgs.120555
Table 1 Key clinical trials and studies evaluating circulating biomarkers in colorectal cancer
| Biomarker | Study/trial | Population | Key findings | Level of evidence | Ref. |
| ctDNA (MRD detection) | DYNAMIC-III | Stage III colon cancer (n = 1002) | ctDNA-guided de-escalation reduced oxaliplatin exposure (88.6% → 34.8%) without compromising 3-year RFS in low-risk patients; non-inferiority not formally met | Phase II/III randomized | [45,46] |
| TRACC Part B | Stage I-III CRC (n = 214 evaluable) | Tissue-free MRD detection; 2-year RFS 91.1% (ctDNA-) vs 50.4% (ctDNA+); HR 6.5; lead time 73 months | Prospective cohort | [44] | |
| Faulkner meta-analysis | 37 studies (n = 3002) | Postoperative ctDNA positivity strongly associated with poorer PFS (HR 6.92; 95%CI 4.49-10.64) | Meta-analysis | [42] | |
| Barault et al[47] | mCRC (n = 182) | Five-gene methylation panel (EYA4, GRIA4, ITGA4, MAP3K14-AS1, MSC) detected in 85.7%; dynamics correlated with response and PFS | Prospective cohort | [47] | |
| Methylation markers | Wang et al[48] MethylDT | Multicenter (n = 1194) | NTMT1/MAP3K14-AS1 methylation: Sensitivity 91.2% for CRC, 87.4% for stage I-II; specificity 92.4% | Multicenter validation | [48] |
| Protein markers | Duan et al[49] | Discovery (n = 72) + validation (n = 191) | SETD7 identified by proteomics; sensitivity 92.2%, specificity 81.1%, AUC 0.947; correlated with stage and MSI | Case-control + functional | [49] |
| IL-8 (prognostic) | Meta-analysis | Multiple studies | High IL-8 levels significantly correlated with shorter OS and PFS; effect stronger for circulating than tissue IL-8 | Meta-analysis | [15] |
| Meta-analysis | Multiple studies | Pooled diagnostic accuracy: AUC 0.92, sensitivity 70%, specificity 91% | Meta-analysis | [20] | |
| Björkman et al[31] | 328 CRC patients | IL-8 was the only significant univariate prognostic factor after FDR correction (HR = 4.88); machine learning identified IL-8 and IL-2Ra for multivariate model | Prospective cohort | [31] | |
| Park et al[55] | 400 CRC patients | IL-8 and LMR were independent prognostic factors for PFS and OS; composite classification enhanced prognostic value | Prospective cohort | [55] | |
| IL-8 (Predictive) | Suenaga et al[58] | mCRC on bevacizumab/regorafenib (n = 125) | High IL-8 associated with liver metastasis and shorter OS (HR = 4.31) | Pooled analysis | [58] |
| Sanmamed et al[59] | Melanoma/NSCLC on anti-PD-1 | Changes in serum IL-8 reflected and predicted response to immunotherapy | Prospective cohort | [59] | |
| IL-8 (Genetic) | Lurje et al[57] | Stage III colon cancer (n = 125) | IL-8 T-251A polymorphism predicted tumor recurrence; combined with VEGF C+936T identified highest risk group | Retrospective cohort | [57] |
| CEA | Beom et al[27] | Discovery (n = 2021) + validation (n = 171) | High-normal CEA (2.1-5.0 ng/mL) independently prognostic; optimal cutoff 2.1 ng/mL; influenced by smoking and tumor location | Retrospective + prospective validation | [27] |
| MMR | ATOMIC | Stage III dMMR colon cancer (n = 700) | mFOLFOX + atezolizumab improved DFS vs mFOLFOX alone | Phase III RCT | [26] |
| NICHE-2 | Locally advanced dMMR colon cancer (n = 112) | Neoadjuvant nivolumab + ipilimumab → pCR > 65%, excellent 3-year DFS | Phase II | [25] | |
| KRAS + laterality | Kamphues et al[28] | International retrospective, n = 1093 resected non-metastatic CRC | KRAS mutation prognostic only in left-sided tumors; not in right-sided or rectal | Retrospective cohort | [28] |
| Tran et al[32] | NCDB analysis, n = 5292 stage I-III colon cancer | Interaction between KRAS and laterality: In mutant KRAS, left-sided worse OS; in wild-type, left-sided better OS | Retrospective cohort | [32] | |
| HER2 | HERACLES | KRAS wild-type, HER2-positive mCRC (n = 27) | Trastuzumab + lapatinib active in HER2-positive mCRC | Phase II | [33] |
| NTRK | Drilon et al[37] | NTRK fusion-positive cancers (n = 55, including CRC) | Larotrectinib demonstrated high response rates across tumor types | Phase I/II | [37] |
Table 2 Current status and evidence gaps for interleukin-8 as a colorectal cancer biomarker
| Application | Current evidence level | Key findings | Evidence gaps | Future directions |
| Diagnosis | Moderate (case-control) | AUC 0.68; sensitivity/specificity 63.6%; independent predictor (OR 1.050)[16]; meta-analysis AUC 0.92[20] | Lack of validation in independent cohorts; optimal cut-off undefined; heterogeneity in assays | Multi-center validation; integration into multi-marker panels; harmonization of assays |
| Early detection | Limited | Performance varies widely; correlation with stage and metastasis[19,20,56] | Limited data on stage I-II; no screening cohort studies | Evaluation in asymptomatic populations; comparison to FIT and colonoscopy |
| Prognosis | Moderate (retrospective cohorts) | Correlates with OS and PFS in multiple studies[19,20,31,54-56]; independent of other inflammatory markers[55]; associated with liver metastasis[53,58] | Predominantly retrospective; heterogeneous cut-offs; limited validation in prospective cohorts | Large prospective cohorts with long-term follow-up; integration with ctDNA and CEA; define standardized cut-offs |
| Predictive (anti-angiogenic) | Preliminary | Baseline IL-8 associated with bevacizumab response in mCRC[58] | Retrospective analyses; heterogeneous populations | Prospective validation in biomarker-directed trials |
| Predictive (immunotherapy) | Exploratory | IL-8 dynamics correlate with immunotherapy response in melanoma/NSCLC[40]; relevance to CRC uncertain | Limited to melanoma/NSCLC; scarce CRC data, particularly in pMMR/MSS | Evaluation in CRC ICI trials, particularly pMMR/MSS; prospective biomarker-stratified studies |
| Monitoring | Not established | No longitudinal data; IL-8 lacks tumor specificity[21]; cfDNA shows earlier recurrence detection[65] | Cross-sectional design only; no comparison to ctDNA kinetics | Serial measurement studies; comparison to ctDNA dynamics; assessment of confounding factors |
| Therapeutic targeting | Preclinical | IL-8/CXCR2 inhibitors in development; KO models show reduced tumor growth[63,64] | No clinical trials in CRC | Phase I/II trials of IL-8/CXCR2-targeted agents; combination with chemotherapy and immunotherapy |
Table 3 Summary of established and emerging biomarkers in colorectal cancer
| Biomarker | Prevalence | Clinical utility | Evidence level | Guideline recommendation | Ref. |
| MMR/MSI | 15% stage II/III | Predictive for immunotherapy; prognostic in stage II | Level I | Universal testing recommended | [23-26] |
| KRAS | Approximately 40% | Prognostic (interacts with laterality); predictive in metastatic setting | Level II | Recommended for all patients | [28,29,32] |
| BRAF V600E | 5%-10% | Prognostic in MSS; predictive in metastatic setting | Level II | Recommended for all patients | [30,31] |
| HER2 | 3%-5% | Predictive for anti-HER2 therapy in metastatic disease | Level II | Recommended in metastatic setting | [33-35] |
| NTRK | < 1% | Predictive for TRK inhibitors | Level II | Recommended (tumor-agnostic) | [36,37] |
| PIK3CA | 10%-15% | Predictive for aspirin benefit (secondary prevention) | Level II | NCCN recommends testing | [38-41] |
| CEA | N/A | Prognostic; surveillance | Level II | Recommended perioperatively | [22,27] |
| ctDNA | N/A | MRD detection; treatment monitoring | Level II (prognostic) | Not routine outside trials; NCCN recommends in clinical trials | [42-46] |
| Level I (emerging interventional) | |||||
| IL-8 | Variable | Investigational; prognostic potential | Level III | Not recommended | [10,19-21,31,35-37,59] |
| Methylation (SEPT9, etc.) | Variable | Screening; diagnostic | Level II | FDA-approved for screening | [48] |
| SETD7 | Variable | Investigational; diagnostic potential | Level III | Not recommended | [49] |
| Metabolomic signatures | Variable | Investigational; diagnostic potential | Level III | Not recommended | [50] |
- Citation: Ismaili N. Evolving landscape of biomarkers in colorectal cancer: From interleukin-8 to integrated multi-marker strategies. World J Gastrointest Surg 2026; 18(10): 120555
- URL: https://www.wjgnet.com/1948-9366/full/v18/i10/120555.htm
- DOI: https://dx.doi.org/10.4240/wjgs.120555