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©The Author(s) 2026.
World J Gastrointest Oncol. Feb 15, 2026; 18(2): 115515
Published online Feb 15, 2026. doi: 10.4251/wjgo.v18.i2.115515
Published online Feb 15, 2026. doi: 10.4251/wjgo.v18.i2.115515
Table 1 Characteristics of the included studies
| Ref. | Country | Design | Diagnosis | Number of patients | Mean age (years) | Men (%) | Number of patients with LM | ICIs used | Concurrent treatment | Median follow-up duration (months) | Outcomes reported | Variables adjusted |
| Schrock et al[15], 2019 | United States | RC | MSI-H mCRC | 22 | 52 | 45.5 | 10 | Pembrolizumab, nivolumab/ipilimumab, or durvalumab/tremelimumab | NR | 18 | PFS and OS | Age, sex, tumor stage, grade, location, and TMB |
| Loupakis et al[16], 2020 | Italy | PC | MSI-H mCRC | 80 | 60 | 56.2 | 25 | Nivolumab, pembrolizumab, or nivolumab/ipilimumab | NR | 22.8 | PFS and OS | None |
| Yang et al[19], 2022 | China | RC | mCRC without confirmed MSI-H/dMMR status | 84 | 63 | 60 | 55 | Sintilimab, nivolumab, toripalimab, camrelizumab, pembrolizumab, and tislelizumab | Regorafenib | 5.5 | PFS | Age, ECOG-PS, RAS mutation status and site of primary tumor |
| Sun et al[18], 2021 | China | RC | MSS mCRC | 51 | 54.2 | 52.9 | 38 | Toripalimab, nivolumab, sintilimab, or camrelizumab | Fruquintinib or regorafenib | 6.2 | PFS | Age, sex, ECOG-PS at baseline, first diagnosis time, tumor location, RAS mutation status, and previous therapy |
| Sahin et al[17], 2021 | United States | RC | dMMR MSI-H mCRC | 60 | NR (> 50) | 55 | 11 | Pembrolizumab, nivolumab, or nivolumab/ipilimumab | NR | 28.3 | PFS | Age, MMR genes, and BRAF V600E mutation |
| Li et al[20], 2022 | China | RC | pMMR/MSS mCRC | 103 | 56 | 54.4 | 59 | Nivolumab, pembrolizumab, camrelizumab, sintilimab, or toripalimab | Regorafenib | 5.3 | OS | None |
| Nie et al[21], 2022 | China | PC | MSS mCRC | 72 | 57 | 50 | 44 | Sintilimab | Fruquintinib or regorafenib | 13 | PFS and OS | None |
| Zhang et al[22], 2022 | China | RC | MSS mCRC | 110 | 53 | 57.3 | 60 | Sintilimab, camrelizumab, toripalimab, tislelizumab, and pembrolizumab | Fruquintinib | 22.4 | PFS | Age, sex, baseline ECOG-PS, site of primary tumor, lines of treatment, RAS and BRAF mutation status, previous treatment, ALP, and TMB |
| Chen et al[23], 2023 | Canada | Post-hoc analysis of RCT | mCRC unselected for MSI status | 119 | 65 | 67.2 | 80 | Durvalumab plus tremelimumab | NR | 15 | PFS and OS | Age, sex, and TMB |
| Saberzadeh-Ardestani et al[24], 2023 | United States | RC | dMMR mCRC | 41 | 81 | 29 | 14 | Pembrolizumab | None | 23 | PFS | Age, sex, primary tumor location, histological grade, PS at baseline, the number of sites of metastatic disease and CEA |
| Yang et al[25], 2023 | China | RC | MSS/pMMR mCRC | 70 | 59 | 52.9 | 51 | Nivolumab, pembrolizumab, tislelizumab, sintilimab, and toripalimab | Fruquintinib | 17.2 | PFS and OS | Age, sex, metastatic site, KRAS mutant, low BMI, primary lesion resected, and lines of ICIs treatment |
| Zhao et al[28], 2024 | China | RC | MSS/pMMR mCRC | 143 | 59 | 68.5 | 93 | Pembrolizumab, nivolumab, sintilimab, tislelizumab, camrelizumab, and durvalumab | TKI, bevacizumab or cetuximab, or chemotherapy | 23.1 | PFS and OS | Age, sex, ECOG-PS, primary tumor site, number of metastases, RAS and BRAF mutation status, previous treatment, and lines of ICIs treatment |
| Kim et al[26], 2024 | United States | PC | MSS/pMMR mCRC | 51 | 56 | 53.8 | 37 | Nivolumab | Regorafenib | 15 | PFS and OS | Age, sex, race, obesity, albumin, ECOG-PS, primary tumor side, RAS mutation status, and previous treatment |
| Saberzadeh-Ardestani et al[27], 2024 | France | RC | dMMR mCRC | 66 | 64 | 45 | 17 | Pembrolizumab, nivolumab, or avelumab | NR | 24.3 | PFS | Age, sex, PS, primary tumor site, and number of metastatic sites |
| Fakih et al[29], 2024 | United States | RC | MSS mCRC | 96 | 58 | 55.2 | 33 | Nivolumab alone, or ipilimumab and nivolumab | Regorafenib | 18 | PFS and OS | None |
| Fakih et al[30], 2024 | United States | RC | MSI-H mCRC | 35 | 56 | 51.4 | 12 | Pembrolizumab, nivolumab and ipilimumab, or durvalumab in combination with tremelimumab | NR | 42 | PFS and OS | None |
Table 2 Study quality evaluation via the Newcastle-Ottawa Scale
| Ref. | Representativeness of the exposed cohort | Selection of the non-exposed cohort | Ascertainment of exposure | Outcome not present at baseline | Control for age | Control for other confounding factors | Assessment of outcome | Enough long follow-up duration | Adequacy of follow-up of cohorts | Total |
| Schrock et al[15], 2019 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 8 |
| Loupakis et al[16], 2020 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 7 |
| Yang et al[19], 2022 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 7 |
| Sun et al[18], 2021 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 7 |
| Sahin et al[17], 2021 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 8 |
| Li et al[20], 2022 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 6 |
| Nie et al[21], 2022 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 7 |
| Zhang et al[22], 2022 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 9 |
| Chen et al[23], 2023 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 8 |
| Saberzadeh-Ardestani et al[24], 2023 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 9 |
| Yang et al[25], 2023 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 8 |
| Zhao et al[28], 2024 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 8 |
| Kim et al[26], 2024 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 8 |
| Saberzadeh-Ardestani et al[27], 2024 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 8 |
| Fakih et al[29], 2024 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 6 |
| Fakih et al[30], 2024 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 6 |
- Citation: Xiang MY, Tuo ZM, Sa XK, Wang P, Bian JW, Zhang XM. Impact of liver metastasis on the efficacy of immune checkpoint inhibitors for advanced colorectal cancer. World J Gastrointest Oncol 2026; 18(2): 115515
- URL: https://www.wjgnet.com/1948-5204/full/v18/i2/115515.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v18.i2.115515
