| Literature DB >> 30898109 |
Khadiga Abdulrashid1, Nour AlHussaini1, Wifag Ahmed1, Lukman Thalib2.
Abstract
BACKGROUND: To systematically assess the prevalence of BRCA1 and BRCA2 gene mutations in women with Hereditary Breast and/or Ovarian Cancer (HBOC) in Arab countries and to describe the variability in the BRCA gene mutations in different regions of the Arab world.Entities:
Keywords: Arab countries; BRCA mutations; Familial breast cancer; Familial ovarian cancer; Systematic review, meta-analysis
Mesh:
Substances:
Year: 2019 PMID: 30898109 PMCID: PMC6429759 DOI: 10.1186/s12885-019-5463-1
Source DB: PubMed Journal: BMC Cancer ISSN: 1471-2407 Impact factor: 4.638
Characteristics of Studies Included
| Author | Year | Country | City | Design | HBOC/HBC | Age at Diagnosis (range or mean) | Mutation type | Test type | Sample size | Sample size of HBOC |
|---|---|---|---|---|---|---|---|---|---|---|
| Abdel-Razeq | 2018 | Jordan | – | Pilot study | HBCb | 22–75 | Deleterious | BART1 | 100 | 84 |
| Bu | 2016 | Saudi Arabia | – | Cross-sectional | HBC | 41.9 | Deleterious | PCR2, CS3/SS4, and TCS5 | 818 | 60 |
| Bujassoum | 2017 | Qatar | – | Retroa | HBC | 23–68 | Deleterious | MLPA6 | 82 | 82 |
| Cherbal | 2015 | Algeria | High Plains | Cross-sectional | HBOCc | < 50 | Deleterious | PCR2 | 192 | 192 |
| El Saghir | 2015 | Lebanon | Beirut | Cross-sectional | HBC | 40.8 | Deleterious | MLPA6 | 250 | 74 |
| Ibrahim | 2010 | Egypt | Alexandria | Registry data | HBC | 43.5 | Deleterious | SSCP7 | 60 | 39 |
| Jalkh | 2012 | Lebanon | – | Cross-sectional | HBC | 41 | Deleterious | Fluorescent DS9 | 72 | 72 |
| Kadouri | 2007 | Palestine | East Jerusalem | Cross-sectional | HBC | – | Deleterious | DHPLC10 | 31 | 10 |
| Laarabi | 2017 | Morocco | North-East morocco (Rabat, Fes, Oujda) | Cross-sectional | HBOC | – | Deleterious | CSS11 | 122 | 122 |
| Laraqui | 2013 | Morocco | Rabat | Retro | HBC | – | Deleterious | DS14 | 121 | 19 |
| Mahfoudh | 2012 | Tunisia | Sousse | Cross-sectional | HBC | 29–65 | Deleterious | DS15 | 24 | 24 |
| Riahi | 2016 | Tunisia | – | Cross-sectional | HBC | – | Deleterious | Logistic regression model (studied three studies) | 92 | 92 |
| Tazzite | 2012 | Morocco | Casablanca | Case series | HBOC | 25–60 | Deleterious | DS15 | 40 | 34 |
| Uhrhammer | 2008 | Algeria | Algiers | Pilot study | HBC | 15–52 | Deleterious | PCR2 | 64 | 13 |
aRetro: retrospective cohort study
bHBC: hereditary breast cancer
cHBOC: hereditary breast and/or ovarian cancer
1BART: Comprehensive BRACAnalysis and BRACAnalysis rearrangement test
2PCR: Polymerase chain reaction
3CS: Capture sequencing
4SS: Sanger sequencing
5TCS: Targeted capture sequencing
6MLPA: Multiple ligation dependent probe amplification
7SSCP: single strand conformation polymorphism assay
8HAC: Heteroduplex assay confirmation
9Fluorescent direct sequencing of the entire coding region and intronic sequence flanking each exon
10DHPLC: denaturing high performance liquid chromatography
11CSS: Conventional individual exon-by-exon Sanger sequencing
12NGS: Next generation sequencing
13TS: Target screening for exon 10 in BRCA2
14Direct sequencing of all coding exons and flanking intron sequences of the BRCA1 gene
15DS: Direct Sequencing
16Direct sequencing
Fig. 1Flowchart representing the process of screening and selection of eligible studies, based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines
Fig. 2Risk of bias plot that shows the methodological quality assessment of the 14 studies included
Fig. 3a Pooled prevalence of any BRCA mutations among hereditary population obtained using Quality Effect Model (QEM). b Pooled prevalence of BRCA1 mutations among hereditary sample obtained using Quality Effect Model (QEM). c Pooled prevalence of BRCA2 mutations among hereditary sample obtained using Quality Effect Model (QEM)
Comparison between Quality Effect Model and the Random Effect Model results
| Quality effect model | Random effect model | ||||||
|---|---|---|---|---|---|---|---|
| No. of studies (patients) | Prevalence (CI 95%) | I2% | No. of studies (patients) | Prevalence (CI 95%) | I2% | ||
| All eligible studies | 14 (917) | 20% (7–36%) | 94.6% | 14 (917) | 63% (17–44%) | 94.6% | |
| Risk of Bias | |||||||
| Low ROB | 6 (604) | 11% (1–27%) | 94.7% | 6 (604) | 66% (4–31%) | 94.7% | |
| Moderate ROB | 8 (313) | 40% (21–60%) | 87.1% | 2 (313) | 63% (26–59%) | 87.1% | |
| Studies with good external validity | 3 (374) | 5% (0–14%) | 85.5% | 3 (374) | 49% (1–16%) | 85.5% | |
| Gene mutations | |||||||
| Both BRCA1 and BRCA2 | 7 (477) | 34% (18–52%) | 93.2% | 7 (477) | 78% (22–56%) | 93.2% | |
| BRCA1 | 11 (684) | 19% (7–36%) | 92.8% | 11 (684) | 59% (15–42%) | 92.8% | |
| BRCA2 | 6 (488) | 27% (16–40%) | 87.4% | 6 (488) | 75% (18–42%) | 87.4% | |
| Target population | |||||||
| HBOC | 3 (348) | 7% (0–20%) | 91.8% | 3 (348) | 55% (0–25%) | 91.8% | |
| HBC | 11 (569) | 32% (18–47%) | 90.8% | 10 (550) | 65% (23–50%) | 90.8% | |
| HOC | 1 (192) | 2% (0–5%) | 0 | 1 (192) | 33% (0–5%) | 0 | |
| Geographic Location | |||||||
| Levant | 4 (240) | 28% (11–49%) | 87.9% | 4 (240) | 63% (13–49%) | 87.9% | |
| GCC | 2 (142) | 22% (0–58%) | 93.9% | 2 (142) | 24% (0–56%) | 93.9% | |
| North Africa | 8 (535) | 16% (0–43%) | 96.2% | 8 (535) | 64% (11–54%) | 96.2% | |
| Sample size | |||||||
| < 100 | 12 (603) | 29% (16–44%) | 89.9% | 12 (603) | 62% (21–48%) | 89.9% | |
| ≥100 | 2 (314) | 5% (0–16%) | 91.4% | 2 (314) | 52% (0–17%) | 91.4% | |
| Year of recruitment | |||||||
| ≤2011 | 10 (467) | 25% (8–47%) | 93.1% | 10 (467) | 60% (17–52%) | 93.1% | |
| 2012–2018 | 5 (572) | 13% (1–31%) | 95.6% | 5 (572) | 71% (5–37%) | 95.6% | |
| Type of mutation | |||||||
| Deleterious | 8 (532) | 26% (11–44%) | 93.6% | 8 (532) | 71% (17–49%) | 93.6% | |
| Deleterious and VUS | 2 (266) | 10% (0–100%) | 98.8% | 2 (266) | 73% (0–85%) | 98.8% | |
| Deleterious, VUS, and Polymorphisims | 4 (119) | 20% (4–43%) | 72.4% | 4 (119) | 46% (7–57%) | 85.0% | |
Fig. 4a Funnel plot assessing the publication bias in pooling the prevalence of any BRCA mutation. b Funnel plot assessing the publication bias in pooling the prevalence of BRCA1 mutation. c. Funnel plot assessing the publication bias in pooling the prevalence of BRCA2 mutation
Comparison between the pooled prevalence in Arab countries with other regions around the world
| Author (year) | Country | Sample size | BRCA mutation prevalence | z-score | |
|---|---|---|---|---|---|
| Keshavarzi et al. (2011) | Iran | 85 | 7% | 15.429 | < 0.0001 |
| Vaca-Panigua et al. (2012) | Mexico | 39 | 7.7% | 13.97 | < 0.0001 |
| Loman et al. (2001) | Sweden | 234 | 8.9% | 11.81 | < 0.0001 |
| Hamann et al. (2003) | Germany | 23 | 13% | 6.30 | < 0.0001 |
| Alsop et al. (2012) | Australia | 1001 | 14.1% | 5.134 | < 0.0001 |
| Yazici et al. (2000) | Turkey | 53 | 15.1% | 4.144 | < 0.0001 |
| Sharma et al., (2014) | Kansas, USA | 207 | 15.4% | 3.86 | 0.0001 |
| Han et al. (2013) | Korea | 775 | 21.7% | 1.25 | 0.2117 |
| Hedau et al. (2004) | India | 24 | 25% | 3.497 | = 0.0005 |
| Sugano et al. (2008) | Japan | 135 | 26.7% | 4.59 | < 0.0001 |
| Weitzel et al. (2005) | Hispanics in USA | 110 | 30.9% | 7.14 | < 0.0001 |
| Hoya et al. (2001) | Spain | 102 | 43% | 14.07 | < 0.0001 |