Research Article

A Systematic Review and Meta-analysis on the Occurrence of Biomarker Mutation in Colorectal Cancer among the Asian Population

Table 2

Major characteristics of the prevalence of BRAF screening studies that were included in the meta-analysis.

S/NAuthorYearLocationMale, (%)AgeSample sizeTumour stage (early stage)Tumour stage (late-stage)Tumour location (colon)Tumour location (rectum)Tumour grade (poorly differentiated)Tumour grade (moderately differentiated)Tumour grade (well-differentiated)MethodTotal BRAF mutation (%)

1Bagadi et al., 2012 [27]2012India7456 (23-93)10022.577.57822NRNRNRSequencing17
2Eachkoti et al., 2018 [77]2018India495736.863.252.647.48.854.436.8Sequencing21.1
3Fu et al., 2019 [78]2019China6060 (14-96)5495NRNR50.10.4996.50.71324.4HRMS2.8
4Mohammadi Asl et al., 2014 [79]2014Iran5544.ynn (40-50)80NRNRNRNRNRNRNRPCR-FFLP/S46.3
5He et al., 2020 [36]2020China6259 (26-83)1944.18372.627.345.9NRNRSequencing11.9
6Hsieh et al., 2012 [37]2012TaiwanNRNR182NRNRNRNRNRNRNRSequencing1.1
7Jauhri et al., 2017a [39]2017India61NR11223.276.882.117.9NRNRNRSequencing7.1
8Kaji et al., 2011 [41]2011Japan3598NRNRNRNRNRNRNRNR0
9Karbalaie Niya et al., 2016 [42]2016Iran57NR1000NRNRNRNR16.438.443.9HRMS0
10Korphaisarn et al., 2019 [14]2019Thailand5764 (30-89)10824.175.982.417.66.586.14.6PNAMPCR1.9
11Kwon et al., 2011 [43]2011South Korea6092010056.543.515.267.412PNAMPCR/S3.3
12Mohamed Suhaimi et al., 2015 [48]2015Singapore5558.5 (26-74)445040.954.545.5NRNRNRHRM-S11.4
13Nagakubo et al., 2019 [52]2019JapanNRNR50NRNRNRNRNRNRNRSS6
14Nguyen et al., 2021 [53]2021Vietnam5615176.219.268.931.110.236.253.2SS2.6
15Rozek et al., 2010 [80]2010Israel5NR1297NRNRNRNRNRNRNRSequencing5
16Saxena et al., 2018 [81]2018India6864 (26-90)656040NRNR23.150.826.2Immunohistochemistry4.6
17Shimada et al., 2018 [82]2018Japan59NR111NRNRNRNRNRNRNRNGS6.3
18Siraj et al., 2014 [58]2014Saudi Arabia51NR77044.549.2NRNR12.176.69.6PCR/sequencing2.2
19Song et al., 2020 [59]2020China61NR235644.845.2NRNR18.7NR81.3Sequencing1
20Taniguchi et al., 2020 [83]2020JapanNR66325NRNRNRNRNRNRNRSequencing10.5
21Taniguchi et al., 2018 [63]2018Japan5964 (26-89)30226.873.253479.6NRNRSequencing6
22Vilkin et al., 2009 [84]2009Israel4712854.945.1NRNR25.154.620.3Sequencing18.8
23Wang et al., 2017 [85]2017ChinaNRNR1694NRNRNRNRNRNRNRSequencing4.2
24Warsinggih et al., 2020 [86]2020Indonesia4643NRNR67.432.644.234.920.9Sequencing14
25Yari et al., 2020 [67]2020IranNRNR100NRNRNRNRNRNRNRSequencing7
26Yip et al., 2013 [68]2013Malaysia65NR4451.248.868.331.77.382.99.8Sequencing2.3
27Zhang et al., 2020 [87]2020China60NR48018.881.3445621.5NRNRSequencing4
28Zhang et al., 2015 [73]2015China5962.1 (18-96)111019.180.950.749.37.573.519PCR-SS3.1
29Zhu et al., 2020 [74]2020China70NR5337.762.3NRNRNRNRNRSequencing11.3

N: number; NR: not reported. Percentage of all samples, age is presented in years ((/median (range/IQR)/range). HRMS: high resolution melting- (HRM-) sequencing; HRMA/P: high resolution melting assay/pyrosequencing; PNAM/PCR and PNAM/PCR/S: peptide nucleic acid-mediated polymerase chain reaction/sequencing; IHC: immunohistochemistry; SS: Sanger sequencing.