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. 2021 Apr 27;38(6):3032–3065. doi: 10.1007/s12325-021-01645-6

Table 1.

Characteristics of included studies: country, setting and population

Author (year) Country (population) Settinga Cases and controls Biomarkers
Cases (N) Controls (N) Type (N)
Hosp Other CRC A/P All HC NM A/P miRNA Autoab DNA Protein Metab ctDNA Otherb
Ahlquist et al. (2012) [23] USA, Canada, Denmark X 82 0 960 0 0 0 1 1 4
Amiot et al. (2014) [24] France X 66 0 123 123 0 34 3
Bagaria et al. (2013) [25] India X 50 0 50 50 0 0 2
Broll et al. (2001) [26] Germany U U 122 0 65 65 0 0 2
Bunger et al. (2012) [27] Germany X 83 60 50 50 0 0 1 2
Calistri et al. (2009) [28] Italy X 100 0 100 100 0 0 2
Cao et al. (2019a) [29] China X U 62 0 59 59 0 0 1
Cao et al. (2019b) [30] China X 118 0 85 85 0 0 1 2 1
Chan et al. (2010) [31] Taiwan, China X 94 0 54 54 0 0 5 1
Chang et al. (2016) [32] Taiwan, China U U 229 0 368 368 0 0 2
Chang et al. (2011) [33] China X 60 60 57 57 0 0 5 1
Chang et al. (2014) [34] Taiwan, China U U 56 0 120 120 0 0 5
Chao et al. (2013) [35] Canada, USA X X 316 0 328 328 0 0 7
Chen et al. (2019) [36] China X 111 0 114 114 0 0 3
Choi et al. (2018) [37] Korea U U 69 0 74 74 0 0 11
Church et al. (2014) [38] USA, Germany X 53 0 1457 934 0 523 1
Ciarloni et al. (2016) [39] Switzerland, South Korea X 52 0 74 74 0 0 27 4
DeVos et al. (2009) [40] Germany, USA U U 90 0 155 155 0 0 1
Duran-Sanchon et al. (2019) [41] Spain X 67 0 353 217 0 483 9
Duvillard et al. (2014) [42] France X 224 0 252 0 252 0 1 1
Fan et al. (2017) [43] Taiwan, China U U 92 0 100 100 0 0 4 1
Fernandes et al. (2005) [44] Brazil X 169 169 100 100 0 0 1 1
Flamini et al. (2006) [45] Italy X 75 57 75 75 0 0 1 1
Fouad et al. (2017) [46] Egypt U U 50 0 50 0 50 0 1
Fu et al. (2018) [47] China X 98 0 329 253 76 0 1
Fung et al. (2015) [48] Australia X 98 0 99 0 99 0 7
Gao et al. (2018) [49] China X 279 104 74 0 0 0 3
Groblewska et al. (2010) [50] Poland X U 91 0 91 91 0 0 4
Grutzmann et al. (2008) [51] Germany U U 127 0 369 184 149 0 1
Guo et al. (2018) [52] China X 107 0 218 120 0 98 5
Han et al. (2019) [53] South Korea X 245 199 245 245 245 0 1
Hao et al. (2018) [54] China U U 186 0 97 97 0 0 2
Hata et al. (2017) [55] Japan X X 225 0 916 916 0 0 1
Haug et al. (2007) [56] Germany X 65 0 917 917 0 0 1
He et al. (2010) [57] China X 182 0 170 170 0 0 3
Herreros-Villanueva et al. (2019) [58] Spain X 96 78 101 100 1 0 6
Imaoka et al. (2016) [59] Japan X 211 0 57 57 0 0 1
Imperiale et al. (2014) [60] USA, Canada X 65 0 9167 6274 0 2893 1 2
Jaberie et al. (2019) [61] Iran X U 113 242 51 50 0 0 2
Jensen et al. (2018) [62] Denmark X 143 0 91 91 0 0 3
Jin et al. (2015) [63] China X 135 0 341 91 0 250 1
Johnson et al. (2014) [64] USA U U 101 0 171 94 0 77 1 1
Jones et al. (2016) [65] USA U U 68 0 68 68 0 0 1 12
Karam et al. (2018) [66] Egypt X U 65 0 70 70 0 0 1
Karl et al. (2008) [67] Germany X 186 0 252 252 0 0 5
Kim et al. (2017) [68] Korea X 166 60 336 120 81 135 2
Kim et al. (2015) [69] Korea X 139 0 60 60 0 0 2
Koga et al. (2013) [70] Japan X 117 0 107 107 0 0 1 1
Lee et al. (2013a) [71] Korea X 101 0 96 96 0 0 1
Lee et al. (2013b) [72] Korea X U 132 0 228 124 67 37 3
Li et al. (2019a) [73] China X 147 0 147 147 0 0 1
Li et al. (2019b) [74] China X 62 60 155 155 0 0 1
Li et al. (2012) [75] China X 70 0 141 141 0 0 1
Liu et al. (2013) [76] China X U 200 0 80 80 0 0 2
Liu et al. (2016) [77] China X 148 0 320 80 80 160 1 1
Liu et al. (2018a) [78] China X 130 0 140 90 0 50 2
Liu et al. (2018b) [79] China X 50 0 100 50 0 50 2
Lumachi et al. (2012) [80] Italy U U 102 0 99 0 99 0 1 4
Luo et al. (2019) [81] China X 57 0 192 192 0 0 12 1
Marcuello et al. (2019) [82] Spain X 59 0 80 80 0 0 6
Marshall et al. (2010) [83] Canada, USA X 202 0 208 0 0 0 7
Matsubara et al. (2011) [84] Japan X 101 0 109 109 0 0 1 1
Matsushita et al. (2005) [85] Japan X 116 169 83 83 0 0 1
Melotte et al. (2015) [86] Germany X 66 57 240 240 0 0 2
Meng et al. (2012) [87] China X 93 0 158 158 0 0 2
Min et al. (2019) [88] China X 58 0 76 0 69 7 4
Mizuno et al. (2003) [89] Japan X 100 0 100 100 0 0 1
Mroczko et al. (2010) [90] Poland X 75 104 70 70 0 0 4
Mroczko et al. (2006) [91] Poland X 76 0 65 65 0 0 3
Mulder et al. (2007) [92] Netherlands X 52 0 63 63 0 0 1
Murakoshi et al. (2011) [93] Japan X 115 0 230 230 0 0 1 1
Murata et al. (2012) [94] Japan X 252 199 81 81 0 0 9
Ng et al. (2017) [95] Hong Kong X 117 0 90 90 0 0 2 1
Nielsen et al. (2011) [96] Denmark X 294 0 4202 2173 1176 843 2
Ning et al. (2018) [97] China X U 513 0 75 75 0 0 4
Nishiumi et al. (2012) [98] Japan X 59 0 63 63 0 0 2 27
Niu et al. (2012) [99] China X 119 78 397 300 97 0 1
Ørntoft et al. (2015) [100] Denmark X 128 0 150 150 0 0 1
Palmqvist et al. (2003) [101] Sweden X 124 0 243 0 0 0 2
Pedersen et al. (2013) [102] England, Wales, Northern Ireland X 97 242 94 0 0 0 18
Pedersen et al. (2015) [103] Australia, Netherlands X 129 0 1288 450 542 296 1 1
Peng et al. (2017) [104] China X U 559 0 559 559 0 0 1 2
Pengjun et al. (2013) [105] China X 149 0 69 69 0 0 4
Qian et al. (2018) [106] Germany X 212 0 106 106 0 0 5
Qu et al. (2019) [107] China X 100 0 100 100 0 0 5
Ren et al. (2016) [108] China X 422 0 1019 747 272 0 1 1
Rho et al. (2018) [109] Japan X 514 60 386 168 59 159 5
Ritchie et al. (2010) [110] USA, Japan X 70 0 70 0 0 0 3
Ritchie et al. (2013) [111] Canada X X 98 0 964 0 964 0 1
Ruffin et al. (2010) [112] USA U U 69 137 93 70 23 0 1 1
Schneider et al. (2005) [113] Germany U U 247 0 53 0 0 0 3
Shastri et al. (2008) [114] Germany U U 55 69 516 498 18 0 1
Shastri et al. (2006) [115] Germany U U 74 0 128 117 11 60 1
Shi et al. (2019) [116] China X 211 0 103 0 0 103 2 1
Sithambaram et al. (2015) [117] Malaysia U U 100 0 200 200 0 0 1
Song et al. (2017a) [118] China X 85 0 324 324 0 0 1
Song et al. (2018a) [119] Germany X 465 0 882 610 0 272 1
Song et al. (2017b) [120] China X 388 0 837 590 0 247 1
Song et al. (2018b) [121] China X 783 0 794 331 0 463 2 1
Stojkovic Lalosevic et al. (2019) [122] Serbia X 300 0 300 300 0 0 3
Sun et al. (2019a) [123] China X 133 0 587 494 11 82 3 1
Sun et al. (2019b) [124] China U U 105 0 102 102 0 0 1 1 3
Swellam et al. (2016) [125] Egypt U U 162 0 57 57 0 0 5
Symonds et al. (2016) [126] Australia X 66 169 246 246 0 0 1 1
Tagore et al. (2003) [127] USA X 52 57 212 113 0 99 23
Taguchi et al. (2015) [128] USA U U 60 0 60 60 0 0 10
Tang et al. (2011) [129] China X 169 0 139 30 0 109 1
Tibble et al. (2001) [130] UK U U 62 0 233 0 233 0 1
Toiyama et al. (2013) [131] Japan X 200 104 53 53 0 0 2
Tomasevic et al. (2016) [132] Serbia X 181 0 191 0 191 0 2
Toth et al. (2012) [133] Hungary U U 92 0 92 92 0 0 1 1
Uchiyama et al. (2018) [134] Japan X 56 0 60 60 0 0 5
Vychytilova-Faltejskova et al. (2016) [135] Czech Republic X 203 199 100 100 0 0 4
Vychytilova-Faltejskova et al. (2018) [136] Czech Republic X 179 0 100 100 0 0 4
Wang et al. (2018) [137] China U U 96 0 60 60 0 0 1
Wang et al. (2017a) [138] China X 91 0 91 91 0 0 10
Wang et al. (2014) [139] China X U 113 0 59 59 0 0 6 2
Wang et al. (2007) [140] Taiwan X U 157 78 80 80 0 0 4
Wang et al. (2017b) [141] China X 60 0 50 50 0 0 1 2
Wang et al. (2016) [142] China X 120 0 120 120 0 0 4 1
Warren et al. (2011) [143] USA and Russia X X 50 242 94 0 0 0 1
Wilhelmsen et al. (2017) [144] Denmark X 512 0 3320 1978 1342 0 1 6 1
Wu et al. (2014) [145] Hong Kong, China X 104 0 109 109 0 0 1
Wu et al. (2012) [146] Hong Kong X 88 0 101 101 0 0 2
Wu et al. (2017) [147] China X 135 0 140 140 0 0 1
Wu et al. (2015) [148] China X 100 0 100 100 0 0 2
Wu et al. (2016) [149] China X 291 0 295 295 0 0 2 1
Xie et al. (2017) [150] China X 132 60 107 0 0 0 2
Xie et al. (2018) [151] China X 123 0 125 19 106 0 3 1
Xu et al. (2013) [152] China X X 87 0 73 73 0 0 2 1 14 1
Yang et al. (2018) [153] China U U 50 0 50 0 0 0 2 1
Yau et al. (2016) [154] Hong Kong U U 198 0 198 198 0 0 1
Yuan et al. (2016) [155] China X 187 0 109 109 0 0 5 1
Zhang et al. (2015a) [156] China X 138 60 111 0 46 65 2
Zhang et al. (2016) [157] China X 80 0 171 116 55 0 6
Zhang et al. (2015b) [158] Japan U U 130 0 54 54 0 0 4
Zhao et al. (2019a) [159] China X 117 0 166 166 0 0 2
Zhao et al. (2019b) [160] China X 358 0 286 286 0 0 1
Zheng et al. (2014) [161] China X 117 0 175 102 0 73 4 1
Zhou et al. (2017) [162] China X 242 0 262 262 0 0 1
Zhu et al. (2013) [163] China X U 269 0 110 110 0 0 5
Zhu et al. (2015) [164] China X 70 0 70 70 0 0 1 1

autoab autoantibodies and other immunological markers, ctDNA circulating tumour DNA, HC healthy control, Hosp hospital, Ind individual, NM non-malignant, A/P adenomas/polyps, U unclear, UK United Kingdom, USA United States of America

aDue to wide variations in health systems across different countries, hospital setting is a broad definition than can encompass secondary and tertiary care. Other setting refers to biobanks, reference sets, databases or archived samples; general population cohorts or cohorts from population screening programmes; or cohorts from previous trials or observational studies

bOther biomarker type refers to methylation markers, platelets, white blood cells, red blood cells and colonocytes