Introduction
Methods
Literature search strategy
Eligibility criteria for studies
Data extraction
Quality assessment
Statistical analysis and visualization tools
Results
Characteristics of the identified studies and quality assessment
Study | Country | Study type | Cancer type | Patients(n) | Median age(years) | Median follow-up | Therapies | Endpoints | Quality |
Chen 2022 [14] | China | retrospective | HCC | 136 | 50(25–78) | 18.0(2–72) | local therapy (surgical resection, interventional or radiofrequency ablation therapy) | RFS | 7 |
Guan(1) 2021 [10] | China | retrospective | RCC | 163 | NR | NR | local therapy (surgery) | MFS/OS | 8 |
Guan(2) 2021 [15] | China | prospective | MBC | 135 | 51(27–73) | 36.0(27.8–44.3) | systemic therapy (chemotherapy) | PFS | 7 |
Jansson 2016 [16] | Sweden | prospective | MBC | 52 | 60(40–83) | 12(5–44), 10(1–42), 15(1–38) | systemic therapy (endocrine/chemotherapy) | PFS/OS | 7 |
Li 2022 [17] | China | retrospective | NSCLC | 61 | NR | 8.5(2.1–14.7) | local therapy (surgery)/systemic therapy | PFS | 6 |
Luo 2020 [11] | China | retrospective | HCC | 214 | 53 | 52(18–78) | local therapy (surgery) | DFS/OS | 7 |
Qiu 2022 [18] | China | retrospective | GC | 217 | 59(29–89) | 18.5(4–30) | local therapy (surgery) | OS | 8 |
Wang 2021 [13] | China | retrospective | RCC | 131 | NR | 24(6–61) | local therapy (surgery) | PFS | 6 |
Xu 2022 [19] | China | retrospective | CRC | 329 | 58(16–88) | 30(11–43) | local therapy (surgery) | PFS/OS | 7 |
Zhu 2021 [20] | China | prospective | SCLC | 33 | 63(43–69) | 20(2.8–30.2) | systemic therapy (chemotherapy) | PFS/OS | 7 |
Study | Detection method | Detection system | Marker | Sampling time | Positive rate | Blood(mL) | Cutoff | ||
Chen 2022 [14] | RNA-ISH | CanPatrol | epithelial markers: EpCAM/CKs mesenchymal markers: Vimentin/Twist leukocyte marker: CD45 | baseline | 31.6% | 5 | 1 | ||
Guan(1) 2021 [10] | RNA-ISH | CanPatrol | epithelial markers: EpCAM, CK8, CK18, and CK19 mesenchymal markers: Vimentin/Twist leukocyte marker: CD45 | 3 months after surgery | 11.7% | 5 | 0 | ||
Guan(2) 2021 [15] | RNA-ISH | CanPatrol | epithelial markers: EpCAM and CK8, CK18, and CK19 mesenchymal markers: Vimentin/Twist leukocyte marker: CD45 | baseline | 5.9%, | 5 | 0 | ||
Jansson 2016 [16] | ICC | CellSearch | epithelial cells: CK8, CK18, and CK19 leukocyte marker: CD45 | baseline,1–3, and 6 months after chemotherapy or until disease progression | 67.3% 35.3% 29.6% | 7.5 | 0 | ||
Li 2022 [17] | SE-iFISH | Cytelligen | CTC: Vimentin leukocyte marker: CD45 | baseline | 29.3% | 6 | 0, 3 | ||
Luo 2020 [11] | RNA-ISH | CanPatrol | epithelial cells: EpCAM and CK8, CK18, and CK19 mesenchymal cells: Vimentin/Twist leukocyte marker: CD45 | baseline | 41.6% | 7.5 | 2 | ||
Qiu 2022 [18] | RNA-ISH | CanPatrol | epithelial biomarkers: EpCAM and CK8, CK18, and CK19 mesenchymal biomarkers: Vimentin/Twist leukocyte marker: CD45 | after radical resection | 13.4% | 5 | 0 | ||
Wang 2021 [13] | RNA-ISH | CanPatrol | epithelial markers: EpCAM, CK8, CK18, and CK19 mesenchymal markers: Vimentin/Twist leukocyte marker: CD45 | baseline | 19.1 | 5 | 0 | ||
Xu 2022 [19] | RNA-ISH | CanPatrol | epithelial markers: EpCAM, CK8, CK18, and CK19 mesenchymal markers: Vimentin/Twist leukocyte marker: CD45 | baseline and 3 months after surgery | 11.5% 13.0% | 5 | 0 | ||
Zhu 2021 [20] | SE-iFISH | Cytelligen | cancer stem cell (CSC) marker: CD44 epithelial-to-mesenchymal transition (EMT) marker: vimentin leukocyte marker: CD45 | baseline, and following two cycles of chemotherapy | 24.1% 48.1% | 6 | 0 |
Clinicopathological features
Outcomes | Study | Odd ratio | Z and P for hazard ratio | Heterogeneity (I2, P) | Publication bias |
---|---|---|---|---|---|
TNM stage (III-IV vs. Stage I-II) | Li, Qiu, Xu | 1.20 (0.76–1.88) | Z = 0.78, P = 0.44 | 0%, 0.77 | / |
Depth of tumor invasion (T3-T4 vs. T1-T2) | Qiu, Wang, Xu | 1.07 (0.63–1.82) | Z = 0.25, P = 0.80 | 0%, 0.79 | / |
Lymph node metastases (Yes vs. no) | Luo, Qiu, Xu | 1.53(0.89–2.65) | Z = 1.54, P = 0.12 | 57%,0.10 | / |
Tumor size(> 5 vs. ≤ 5) | Chen, Luo | 2.65(1.58–4.44) | Z = 3.69, P < 0.001 | 0%, 0.73 | Begg’s Test = 1.000 Egger’s test = / |
AFP level (≥ 400 vs. < 400) | Chen, Luo | 2.52(1.50–4.22) | Z = 3.51, P < 0.001 | 0%, 0.60 | Begg’s Test = 1.000 Egger’s test = / |
Liver cirrhosis (Yes vs. no) | Chen, Luo | 1.13 (0.68–1.89) | Z = 0.47, P = 0.64 | 14%, 0.28 | / |
Quality assessment
Impact of CTC-WBC clusters on OS and PFS/DFS/MFS/RFS
Subgroup analyses
Sampling time
Studies | Hazard ratio | Z and P for hazard ratio | Heterogeneity (I2, P) | Publication bias | |
---|---|---|---|---|---|
OS | |||||
Sampling time | |||||
Pretherapy | Jansson, Luo, Xu, Zhu | 2.16(0.88–5.3) | Z = 1.69, P = 0.092 | 64.0%, 0.040 | Begg’s Test = 0.734; Egger’s test = 0.261 |
Pretherapya | Luo, Xu, Zhu | 2.98(1.96–4.53) | Z = 2.76, P = 0.006 | 41.4%, 0.182 | Begg’s Test = 1.000; Egger’s test = 0.416 |
Posttherapy | Guan(1), Jansson, Qiu, Zhu | 2.62 (1.51–4.56) | Z = 3.34, P = 0.001 | 3.6%, 0.375 | Begg’s Test = 0.089; Egger’s test = 0.295 |
Posttherapya | Guan(1), Qiu, Zhu | 3.43(1.38–4.26) | Z = 3.09, P = 0.002 | 0%, 0.592 | Begg’s Test = 0.296; Egger’s test = 0.382 |
Treatment method | |||||
Local therapy | Guan(1), Qiu, Xu | 1.97(1.13–3.43) | Z = 2.40, P = 0.016 | 0%, 0.710 | Begg’s Test = 1.000; Egger’s test = 0.386 |
Systematic therapy | Jansson, Luo, Zhu | 3.42(2.21–5.32) | Z = 3.07, P = 0.002 | 38.1%, 0.199 | Begg’s Test = 0.296; Egger’s test = 0.054 |
Detection method | |||||
RNA-ISH | Guan(1), Luo, Qiu, Xu | 2.55(1.78–3.63) | Z = 5.15, P < 0.001 | 0%, 0.578 | Begg’s Test = 0.308; Egger’s test = 0.021 |
Detection system | |||||
CanPatrol | Guan(1), Luo, Qiu,Xu | 2.55(1.78–3.63) | Z = 5.15, P < 0.001 | 0%, 0.578 | Begg’s Test = 0.308; Egger’s test = 0.021 |
Study type | |||||
Prospective | Jansson, Zhu | 11.44 (2.71–48.37) | Z = 3.31, P = 0.001 | 0%, 0.605 | Begg’s Test = 1.000; Egger’s test = / |
Retrospective | Guan(1), Luo, Qiu, Xu | 2.55 (1.78–3.63) | Z = 5.15, P < 0.001 | 0%, 0.578 | Begg’s Test = 0.308; Egger’s test = 0.021 |
PFS/DFS/MFS/RFS | |||||
Sampling time | |||||
Pretherapy | Chen, Guan(2), Jansson, Li, Luo, Wang, Xu, Zhu | 1.91 (1.51–2.42) | Z = 5.42, P < 0.001 | 0%, 0.584 | Begg’s Test = 0.386; Egger’s test = 0.019 |
Pretherapya | Chen, Guan(2), Li, Luo, Wang, Xu, Zhu | 2.04(1.60–2.60) | Z = 5.73, P < 0.001 | 0%, 0.922 | Begg’s Test = 0.881; Egger’s test = 0.010 |
Posttherapy | Guan(1), Jansson, Wang, Zhu | 1.64 (0.89–3.00) | Z = 1.44, P = 0.151 | 56.4%, 0.0.076 | Begg’s Test = 0.734; Egger’s test = 0.301 |
Posttherapya | Guan(1), Wang, Zhu | 1.78 (1.29–2.44) | Z = 2.49, P = 0.013 | 35.2%, 0.214 | Begg’s Test = 0.296; Egger’s test = 0.691 |
Treatment method | |||||
Local therapy | Chen, Guan(1),Luo, Wang, Xu | 1.95(1.57–2.43) | Z = 5.99, P < 0.001 | 0%, 0.447 | Begg’s Test = 0.086; Egger’s test = 0.430 |
Systematic therapy | Guan(2), Jansson, Li, Zhu | 1.99(1.24–3.19) | Z = 1.99, P = 0.047 | 33.0%, 0.214 | Begg’s Test = 0.308; Egger’s test = 0.024 |
Detection method | |||||
RNA-ISH | Chen, Guan(1), Guan(2), Luo, Qiu, Wang, Xu | 1.88(1.50–2.36) | Z = 5.51, P = 0.047 | 0%, 0.742 | Begg’s Test = 0.707; Egger’s test = 0.935 |
SE-iFISH | Li, Zhu | 2.09 (1.16–3.74) | Z = 2.46, P = 0.014 | 0%, 0.465 | Begg’s Test = 1.000; Egger’s test = / |
Detection system | |||||
CanPatrol | Chen, Guan(1), Guan(2), Luo, Xu | 1.91 (1.54–2.38) | Z = 5.86, P < 0.001 | 0%, 0.770 | Begg’s Test = 0.221; Egger’s test = 0.172 |
Cytelligen | Li, Zhu | 1.86 (1.05–3.29) | Z = 2.14, P = 0.033 | 0%, 0.465 | Begg’s Test = 1.000; Egger’s test = / |
Cancer type | |||||
HCC | Chen, Luo | 2.09 (1.51–2.89) | Z = 4.45, P < 0.001 | 0%, 0.448 | Begg’s Test = 1.000; Egger’s test = / |
MBC | Guan(2), Jansson | 0.76 (0.05–11.74) | Z = 0.20, P = 0.841 | 0%, 0.460 | Begg’s Test = 1.000; Egger’s test = / |
RCC | Guan(1),Wang | 1.60 (1.31–2.26) | Z = 2.63, P = 0.009 | 0%, 0.454 | Begg’s Test = 1.000; Egger’s test = / |
Study type | |||||
Prospective | Guan(2), Jansson, Zhu | 1.31 (0.46–3.75) | Z = 0.51, P = 0.609 | 56.0%, 0.103 | Begg’s Test = 0.297; Egger’s test = 0.138 |
Retrospective | Chen, Guan(1), Li, Luo, Wang, Xu | 1.88 (1.52–2.32) | Z = 5.93, P < 0.001 | 0%, 0.769 | Begg’s Test = 1.000; Egger’s test = 0.046 |