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. 2022 Apr 29;14(9):2218. doi: 10.3390/cancers14092218

Table 1.

Summary of included studies on the association between circulating cell-free (tumor) DNA and prognosis.

Author, Year Biomarkers Assay n Tumor Stage % Detectable Presurgery Correlation with Stage Outcome
Cell-Free DNA
Czeiger et al., 2016 [20] Cell-free DNA SYBR Gold fluorometry 38 I: n = 5 100% detectable Higher levels in stage IV mHR for DFS = 6.03 (95% CI 1.87–19.41)
II: n = 20 49% above cutoff of
800 ng/mL
mHR for OS = 3.53 (95% CI 1.46–8.55)
III: n = 7
IV: n = 5
Guadalajara et al., 2008 [21] Cell-free DNA Spectrophotometry (NanoDrop) 73 I: n = 17 Not reported. Higher levels in stage IV No significant correlation between cfDNA concentration and development of metastases or mortality. Trend toward worse prognosis for patients with cfDNA concentration >60 ng/μL
II: n = 25
III: n = 19
IV: n = 11
Benign: n = 1
Fleming et al., 2020 [22] Cell-free DNA Spectrophotometry (NanoDrop) 20 I–II: n = 9 Not reported Not reported Slightly higher cfDNA levels in patient with a recurrence compared to non-recurrence patients
III: n = 11
Zhong et al., 2020 [23] Cell-free DNA qPCR 60 I–II: n = 26 Not reported. Yes cfDNA concentration was an independent risk factor for PFS in both univariate and multivariate regression analysis
III–IV: n = 34
Somatic alterations
Wang et al., 2004 [24] APC, KRAS, TP53 PCR-SSCP
tumor-naive, serum
104 I: n = 7
II: n = 49
III: n = 39
IV: n = 9
0.46 Non-significant trend 75% vs. 9.5% recurrences (p < 0.001)
Lecomte et al., 2002 [25] KRAS (codon 12, 13)
Also: cfDNA, p16 methylation
PCR
tumor-informed, plasma
58 I: n = 8
II: n = 21
III: n = 16
IV: n = 13
cfDNA: 43%
KRAS2: 45%
p16: 68%
Overall: 68% (stage I–III)
No Significant worse RFS for ctDNA+ stage I–III patients: 2 y RFS of 66% (95% CI 36–84%) vs. 100%.
mHR for OS in stage I–IV = 13 (95% CI 1.5–112).
Shin et al., 2017 [26] KRAS Sequenom MassARRAY + modified ultrahigh-sensitivity assay
tumor-naive, plasma
160 I–II: n = 19
III: n = 35
IV: n = 106
17% in stage I–III Correlation with heavier tumor burden 89% vs. 78% recurrences in stage I–III patients.
Lower PFS (17 vs. 21 months), but not significant
Reinert et al., 2016
[27]
Patient-specific somatic structural variants dPCR
tumor-informed, plasma
11 I: n = 1
II: n = 5
III: n = 2
IV: n = 3
0.73 Non-significant trend ctDNA+: 5/8 rec
ctDNA−: 1/3 rec
Scholer et al., 2017 [28] Patient-specific somatic structural variants and SNVs dPCR
tumor-informed, plasma
27 I: n = 5
II: n = 8
III: n = 8
IV: n = 6
0.74 Yes 8/10 ctDNA+ in stage I–III patients with relapse
6/11 ctDNA+ in stage I–III patients without relapse
Thomsen et al., 2017 [29] RAS, BRAF dPCR
tumor-informed, serum
294 I: n = 40
II: n = 151
III: n = 103
0.42 Yes RAS: mHR for DFS = 2.18 (95% CI 1.26–3.77). mHR for OS = 2.30 (95% CI 1.27–4.15).
BRAF and pMMR: mHR for DFS = 3.61 (95% CI 1.70–7.67). mHR for OS = 3.45 (95% CI 1.52–7.85).
Tarazona et al., 2019 [30] 29 cancer-related genes dPCR
tumor-informed, plasma
94 I: n = 14
II: n = 41
III: n = 39
0.64 Lower levels in stage I No relation between ctDNA and outcome: uHR for DFS = 0.93 (95% CI: 0.33–2.69)
Nakamura et al., 2021 [31] KRAS (codon 12, 13) dPCR
tumor-naive, plasma
180 I–III: n = 154
IV: n = 26
33% (30% in stage I–III) Non-significant trend Increased recurrence risk for ctDNA+ patients (27% vs. 3%). mHR for RFS = 2.18 (95% CI 1.02–4.61)
Reinert et al., 2019 [12] Patient-specific mutations Multiplex PCR-based NGS
tumor-informed, plasma
125 I: n = 5
II: n = 39
III: n = 81
0.89 Lower levels in stage I No significant association between ctDNA and outcome
Allegretti et al., 2020 [32] 15 cancer-related genes Targeted NGS + dPCR
tumor-naive, plasma
39 I: n = 9
II: n = 14
III: n = 11
NR: n = 5
0.44 Weak, non-significant trend 3/10 recurrences in follow-up patients. 3 recurrences: 100% ctDNA+ before surgery. 7 non-recurrences: 4/7 ctDNA+ before surgery
Phallen et al., 2017 [33] 58 cancer-related genes Targeted NGS
tumor-naive, plasma
42 I: n = 8
II: n = 9
III: n = 10
IV: n = 15
0.83 Lower levels in stage I uHR for PFS/OS = 1.13 (95% CI 1.03–1.24) in stage I–III
mHR for PFS = 36.3 (95% CI 2.8–471.1) in stage I–IV
Suzuki et al., 2020 [34] 52 cancer-related genes Targeted NGS
tumor-naive, plasma
154 I: n = 29
II: n = 64
III: n = 50
IV: n = 11
0.73 Non-significant trend 4 recurrences in CRC patients with detectable ctDNA before surgery. MAF heat plot does not discriminate between recurrence and non-recurrence patients
Methylation
Matthaios et al., 2016 [35] APC, RASSF1A methylation PCR 155 I–III: n = 88
IV: n = 67
APC: 33%
RASSF1A: 25%
Yes APC: OS 27 vs. 81 months
RASSF1A: OS 46 vs. 71 months (p < 0.001)
Xue et al., 2017 [36] Cystathionine-beta-synthase (CBS) hypomethylation PCR 95 I: n = 10
II: n = 22
III: n = 38
IV: n = 15
0.64 Yes RR of RFP = 1.54 (95% CI 1.18–3.02)
RR of OS = 1.35 (95% CI 1.09–2.41)
Rasmussen et al., 2018 [37] 30 gene promotor regions PCR 193 I–III: n = 159
IV: n = 34
NR Non-significant trend Signification association between OS and >4 methylated regions
RARB or RASSF1A: mHR for OS = 2.53 (95% CI 1.60–3.90)
Lin et al., 2015 [38] TWIST1, FLI1, AGBL4 qPCR (Sequenom MassArray) 353 I: n = 42
II: n = 140
III: n = 108
IV: n = 63
≥1 meth: 93%
AGBL4: 65%
FLI1: 66%
TWIST1: 70%
No No significant association between (number of) methylated genes and DFS
Wallner et al., 2006 [39] TMEFF2, HLTF, hMLH1 qPCR 77 I: n = 10
II: n = 24
III: n = 24
IV: n = 15
HLTF: 22%
HPP1: 12%
hMLH1: 23%
Yes TMEFF2 or HLTF: mRRD = 3.4 (95% CI 1.4–8.1)
Herbst et al., 2009 [40] HLTF, TMEFF2 qPCR 106 I: n = 13
II: n = 39
III: n = 54
HLTF: 12%
TMEFF2: 6%
No HLTF: mRRR = 2.5 (95% CI 1.1–5.6). Significant worse RFS (p = 0.014).
Liu et al., 2016 [41] SST, MAL, TAC1, SEPT9, EYA4, CRABP1, NELL1 qPCR 165 I: n = 26
II: n = 62
III: n = 62
IV: n = 15
0.5 NR mSST: mHR for DFS = 2.60 (95% CI 1.37–4.94)
mSST: mHR for CSD = 1.96 (95% CI 1.06–3.62)
Bedin et al., 2017 [42] SFRP1, OSMR
Also: total amount cfDNA
qPCR 114 I: n = 38
II: n = 29
III: n = 32
IV: n = 15
0.67 Methylation: No
cfDNA: Higher levels in stage III/IV
Methylation: no significant association with DFS/OS
cfDNA: high level associated with poor prognosis.
mHR for OS ALU83 = HR 2.71 (95%CI 1.22–6.02),
mHR for OS ALU244 = 2.40 (95% CI 1.11–5.19).
Song et al., 2018 [43] SEPT9 qPCR 120 I: n = 14
II: n = 40
III: n = 45
IV: n = 21
0.87 Yes uHR for OS = HR 2.51 (95% CI 1.03–6.12)
Constâncio et al., 2019 [44] APC, FOXA1, GSTP1, HOXD3, RARβ2, RASSF1A, SEPT9, SOX17 qPCR 100 I–II: n = 39
III: n = 43
IV: n = 18
SEPT9: 8%
SOX17: 11%
Higher levels in stage IV Significant association between RARβ2, SEPT9 and SOX17 and DSM
Leon Arellano et al., 2020 [45] SEPT9 qPCR 10 II: n = 4
III: n = 3
IV: n = 3
0.8 NR No significant association with recurrence
ctDNA+: 1/5 recurrence
ctDNA−: 0/2 recurrence
Jin et al., 2021 [46] SEPT9 qPCR 82 I: n = 5
II: n = 30
III: n = 40
IV: n = 7
0.89 Higher levels for stage III and IV No significant association with recurrence
Luo et al., 2020 [47] Diagnostic score (cd-score) including 9 methylation markers Targeted NGS + dPCR 801 I: n = 38
II: n = 139
III: n = 209
IV: n = 406
0.88 Higher levels for stage III and IV mHR for OS = 2.24 (SE 0.11)

PCR: polymerase chain reaction. dPCR: digital PCR. ddPCR: digital droplet PCR. NGS: next-generation sequencing. qPCR: quantitative PCR. MASA: mutant allele-specific amplification. SSCP: single-strand conformation polymorphism. mHR: hazard ratio in multivariate analysis. uHR: hazard ratio in univariate analysis. DFS: disease-free survival. OS: overall survival. PFS: progression-free survival. RFS: recurrence-free survival. RR: relative risk. mRRD: RR of death in multivariate analysis. RFP: recurrence-free probability. MAF: mutant allele fraction. pMMR: proficient mismatch repair. DSM: disease-specific mortality. CSD: cancer-specific death.