Translate this page into:
Review of FSCN1 polymorphism and susceptibility to breast cancer in Egyptian and Chinese patients
-
Received: ,
Accepted: ,
How to cite this article: Sukarna PA, Putra A, Praktyasa MA, Atmaja KS. Review of FSCN1 polymorphism and susceptibility to breast cancer in Egyptian and Chinese patients. South Asian J Cancer. 2026;15:5-10. doi: 10.25259/SAJC_4_2026
Abstract
Breast cancer is a major cause of cancer-related morbidity and mortality in women worldwide. Beyond high-penetrance susceptibility genes, common genetic variants with modest effects may also influence breast cancer risk. Fascin-1, encoded by FSCN1, is an actin-bundling protein that regulates cytoskeletal remodelling, cell motility, and metastasis, and its overexpression has been linked to aggressive breast cancer phenotypes. However, the role of FSCN1 germline polymorphisms in breast cancer susceptibility remains insufficiently defined. This systematic review aimed to critically appraise and synthesise existing evidence on the association between FSCN1 single-nucleotide polymorphisms (SNPs) and breast cancer risk. A comprehensive literature search of PubMed, Embase, Web of Science, and the Cochrane Library was conducted up to December 31, 2025. Eligible studies were case-control designs evaluating associations between FSCN1 polymorphisms and breast cancer, with sufficient genotype or allele frequency data. Methodological quality was assessed using the Newcastle-Ottawa Scale (NOS). Given heterogeneity in populations and investigated SNPs, a qualitative synthesis was performed. Four case-control studies involving Chinese and Egyptian populations met the inclusion criteria. Sample sizes ranged from 96 to 316 cases and 50 to 222 controls. All studies employed PCR-TaqMan genotyping and demonstrated Hardy-Weinberg equilibrium in control groups. Associations between FSCN1 polymorphisms and breast cancer risk varied by SNP and population. The rs56156320 AC genotype was associated with increased risk in a Chinese case-control study, whereas the rs3801004 and rs852479 variants showed protective associations in Egyptian populations. Other polymorphisms exhibited inconsistent or non-significant associations. Overall study quality was moderate to high, but effect estimates were heterogeneous. Current evidence suggests that FSCN1 polymorphisms may influence breast cancer susceptibility in an allele-specific and population-dependent manner. Larger, multi-ethnic studies incorporating functional genomics are needed to clarify their role in breast cancer risk stratification.
Keywords
Breast cancer
Breast cancer susceptibility
FSCN1 polymorphism
Genetic polymorphism
INTRODUCTION
Breast cancer continues to represent a major public health challenge, contributing substantially to cancer-related morbidity and mortality worldwide. Data from international cancer surveillance consistently indicate that it is one of the most commonly diagnosed malignancies among women. Recent global estimates underscore the magnitude of this burden and emphasise the ongoing need to improve risk stratification approaches, including the identification of genetic susceptibility markers, as a foundation for more effective prevention and early detection strategies.[1]
Breast carcinogenesis is a biologically complex and heterogeneous process shaped by interactions among environmental exposures, hormonal influences, and genetic factors. In addition to well-established high-penetrance genes, a wide range of common genetic variants may confer smaller yet clinically relevant increases in disease risk, either independently or in combination within broader genetic risk profiles. Within this context, growing research interest has focused on genes involved in cytoskeletal organisation and cell motility, as these processes play a critical role in malignant transformation, tumour invasion, and metastatic spread.[2]
Fascin-1, encoded by the FSCN1 gene, is an actin-bundling protein that plays a key role in the organisation of parallel actin filaments, thereby facilitating cell migration and invasion. In a wide range of human malignancies, increased FSCN1 expression has consistently been associated with more aggressive tumour behaviour and poorer clinical outcomes, supporting its biological relevance in cancer progression and, potentially, tumour initiation. Mechanistic and translational studies have further highlighted FSCN1 as a promising biomarker and potential therapeutic target.[3] In the context of breast cancer, elevated fascin-1 expression has been particularly observed in more aggressive molecular subtypes, with immunohistochemical studies indicating its utility as a diagnostic marker, especially in triple-negative breast cancer.[4]
In view of the established role of FSCN1 in cytoskeletal remodelling, genetic variation within this gene may contribute to breast cancer susceptibility through effects on gene regulation, expression, or linkage with functional haplotypes. Several genetic association studies have investigated multiple FSCN1 single-nucleotide polymorphisms (SNPs) in relation to breast cancer risk and clinicopathological characteristics. A notable study examined a panel of FSCN1 variants, including rs56156320, rs3801004, and rs2966447, and identified associations with both disease susceptibility and tumour progression markers.[5] A recent case–control study conducted in specific populations has reported statistically significant associations for selected variants, such as rs3801004 and rs852479/rs1640233 in Egyptian cohorts.[6,7] Furthermore, emerging evidence has linked the rs2966447 polymorphism not only to breast cancer risk but also to circulating fascin-1 levels, suggesting a potential correlation between genetic variation and phenotypic expression that may enhance the biological interpretation of these genetic associations.[8]
However, the overall evidence base remains fragmented across populations, SNP panels, genotyping approaches, and adjustment strategies, with findings that may vary by ethnicity, molecular subtype, and clinical context. Therefore, a systematic review is warranted to critically appraise and synthesise the available genetic association evidence, clarify which FSCN1 polymorphisms show the most consistent relationship with breast cancer susceptibility, and identify gaps requiring higher-powered, multi-ethnic, and functionally informed studies.
MATERIAL AND METHODS
Search strategy
Electronic databases (Embase, PubMed, Cochrane Library databases, and Web of Science) were searched by us until December 31, 2025, using the following keywords: “FSCN1 or Fascin-1” and “Polymorphism or variation or mutation or genotypes or SNP” and “breast cancer or breast tumour or breast carcinoma”. In addition, a manual search was needed for references of relevant articles in order to identify potentially eligible publications. The study selection process was conducted according to the PRISMA guidelines and is depicted in Figure 1.

Eligibility criteria
Studies were included in our meta-analysis if the following criteria were met: (1) case-control studies concerned with the association between FSCN1 polymorphisms and breast cancer, (2) published data related to the frequencies of alleles or genotypes must be sufficient, and (3) all studies were published in English. Exclusion criteria included: (1) meta-analyses, reviews, and letters, (2) studies without genetic association analysis.
RESULTS
Study characteristics and methodological quality
The literature search resulted in the identification of four studies that met the predefined inclusion criteria and were included in the qualitative synthesis. All selected studies used a case–control design and evaluated the association between FSCN1 gene polymorphisms and breast cancer susceptibility. No additional eligible studies were identified through manual screening of reference lists. In light of the small number of included studies and the heterogeneity of study populations and investigated polymorphisms, a meta-analysis was not conducted.
The methodological quality of the included studies was assessed using the Newcastle-Ottawa Scale (NOS) for case-control studies. Overall, two studies were rated as high quality, with total NOS scores of 8 out of 9, while two other studies were rated as moderate quality, with both having scores of 7. All studies demonstrated adequate case definition and reliable exposure assessment through validated genotyping methods, including TaqMan real-time polymerase chain reaction (PCR). Comparability scores varied across studies, primarily due to differences in adjustment for potential confounding variables. Despite this variability, the overall risk of bias was considered low to moderate, and all included studies were deemed suitable for qualitative synthesis.
The characteristics of included studies are shown in Table 1. Sample sizes varied substantially, ranging from 96 to 316 cases and 50 to 222 controls per dataset. All studies applied PCRTaqMan assays for genotyping, ensuring methodological consistency and high analytical validity.
| SNPs | First author | Year | Country | Source of controls | Genotype methods | Cases | Controls |
|---|---|---|---|---|---|---|---|
| rs56156320 | Wang | 2017 | China | HB | PCR-TaqMan | 316 | 222 |
| rs8772 | Wang | 2017 | China | HB | PCR-TaqMan | 316 | 222 |
| rs3801004 | Wang | 2017 | China | HB | PCR-TaqMan | 316 | 222 |
| Ibrahim | 2023 | Egypt | PB | PCR-TaqMan | 96 | 50 | |
| rs2966447 | Wang | 2017 | China | HB | PCR-TaqMan | 316 | 222 |
| Abdullah | 2024 | Egypt | PB | PCR-TaqMan | 153 | 144 | |
| rs852479 | Wang | 2017 | China | HB | PCR-TaqMan | 316 | 222 |
| Galal | 2024 | Egypt | HB | PCR-TaqMan | 200 | 200 | |
| rs1640233 | Wang | 2017 | China | HB | PCR-TaqMan | 316 | 222 |
| Galal | 2024 | Egypt | HB | PCR-TaqMan | 200 | 200 |
HB: Hospital-based, PB: Public-based, PCR: Polymerase chain reaction, SNPs: Single-nucleotide polymorphisms.
Association between FSCN1 polymorphism and breast cancer risk
The association between FSCN1 polymorphisms and breast cancer risk are shown in Table 2. It showed notable heterogeneity depending on the specific SNP examined and the population studied. For rs56156320, Wang et al. (2017)[5] identified a statistically significant increase in breast cancer risk among individuals carrying the heterozygous AC genotype (OR 2.06; 95% CI 1.02–4.16). Although the homozygous CC genotype also suggested an elevated risk, this finding did not reach statistical significance.
| SNPs | First author | Genotype | OR (95% CI) |
|---|---|---|---|
| rs56156320 | Wang | AC | 2.060 (1.020–4.157)* |
| CC | 1.566 (0.914–2.682) | ||
| rs8772 | Wang | CT | 1.203 (0.743–1.947) |
| TT | 0.551 (0.117–2.610) | ||
| rs3801004 | Wang | CG | 1.321 (0.619–2.820) |
| GG | - | ||
| Ibrahim | CG | 0.133 (0.0537± 0.3297)* | |
| GG | 0.1025 (0.0370 ± 0.2834)* | ||
| rs2966447 | Wang | AT | 1.039 (0.665–1.621) |
| TT | 0.962 (0.252–3.676) | ||
| Abdullah | AT | 2.3 (1.4-3.9)* | |
| TT | 26.5 (4.5-278.7)* | ||
| rs852479 | Wang | AC | 1.187 (0.783–1.799) |
| CC | 1.608 (0.476–5.436) | ||
| Galal | AC | 1.053 (0.67–1.64) | |
| CC | 0.395 (0.204–0.76)* | ||
| rs1640233 | Wang | CT | 1.386 (0.877–2.190) |
| TT | 0.740 (0.251–2.186) | ||
| Galal | CT | 0.863 (0.578–1.29) | |
| TT | 0.327 (0.065–1.632) |
For rs2966447, study by Abdullah et al. (2024)[8] also showed significant increase risk of breast cancer susceptibility among individuals with both AT genotype (OR 2.3; 95% CI 1.4-3.9) and TT genotype (OR 26.5; 95% CI 4.5-278.7). However, Wang et al.[5], did not report any significant association between the polymorphism and breast cancer.
Regarding rs3801004, divergent results were observed between populations. No significant association was detected in the Chinese cohort reported by Wang et al.[5], whereas Ibrahim et al. (2023)[6] demonstrated a pronounced protective effect of the CG and GG genotypes in the Egyptian population, with odds ratios substantially below one.
Similarly, rs852479 exhibited population-specific associations. In the study by Galal et al. (2024)[7], the CC genotype was significantly associated with a reduced risk of breast cancer (OR 0.395; 95% CI 0.204–0.76). In contrast, no statistically significant association was observed in the Chinese cohort.
For the remaining polymorphisms (rs8772, and rs1640233), most analyses did not reveal statistically significant associations with breast cancer susceptibility, despite some variation in effect estimates across studies.
Hardy-Weinberg equilibrium and allelic distribution
The Hardy-Weinberg equilibrium and allelic distribution are shown in Table 3. All examined SNPs conformed to Hardy– Weinberg equilibrium in the control groups (p > 0.05), indicating appropriate sampling and reliable genotyping procedures.
| SNPs | First author | Genotype distribution | HWE Test | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cases | Controls | |||||||||||||
| A | C | AA | AC | CC | MAF | A | C | AA | AC | CC | MAF | |||
| rs56156320 | Wang | 496 | 136 | 231 | 34 | 51 | 0.21 | 372 | 72 | 179 | 14 | 29 | 0.16 | >0.05 |
| C | T | CC | CT | TT | MAF | C | T | CC | CT | TT | MAF | |||
| rs8772 | Wang | 564 | 68 | 251 | 62 | 3 | 0.11 | 397 | 47 | 180 | 37 | 5 | 0.11 | >0.05 |
| C | G | CC | CG | GG | MAF | C | G | CC | CG | GG | MAF | |||
| rs3801004 | Wang | 610 | 22 | 295 | 20 | 1 | 0.03 | 430 | 14 | 208 | 14 | 0 | 0.03 | >0.05 |
| Ibrahim | 146 | 46 | 62 | 22 | 12 | 0.24 | 42 | 58 | 9 | 24 | 17 | 0.42 | >0.05 | |
| A | T | AA | AT | TT | MAF | A | T | AA | AT | TT | MAF | |||
| rs2966447 | Wang | 544 | 88 | 235 | 74 | 7 | 0.14 | 388 | 56 | 170 | 48 | 4 | 0.13 | >0.05 |
| Abdullah | 213 | 93 | 79 | 55 | 19 | 0.30 | 253 | 35 | 110 | 33 | 1 | 0.12 | >0.05 | |
| A | C | AA | AC | CC | MAF | A | C | AA | AC | CC | MAF | |||
| rs852479 | Wang | 514 | 118 | 210 | 94 | 12 | 0.19 | 379 | 65 | 161 | 57 | 4 | 0.15 | >0.05 |
| Galal | 285 | 115 | 117 | 51 | 32 | 0.29 | 319 | 81 | 133 | 53 | 14 | 0.20 | >0.05 | |
| C | T | CC | CT | TT | MAF | C | T | CC | CT | TT | MAF | |||
| rs1640233 | Wang | 541 | 91 | 233 | 75 | 8 | 0.14 | 59 | 385 | 8 | 43 | 171 | 0.13 | >0.05 |
| Galal | 306 | 94 | 112 | 82 | 6 | 0.23 | 321 | 79 | 123 | 75 | 2 | 0.20 | >0.05 | |
HWE: Hardy-Weinberg equilibrium, MAF: Minor allele frequency, SNPs: Single-nucleotide polymorphisms.
Minor allele frequencies (MAF) varied between populations, particularly for rs3801004 and rs852479, which may partially account for the inconsistencies observed in genetic association outcomes.
DISCUSSION
In this systematic evaluation of FSCN1 polymorphisms and breast cancer risk, the cumulative evidence suggests that genetic variation in FSCN1 may contribute to disease susceptibility in a context-dependent and allele-specific manner. Although only a limited number of studies have examined associations between FSCN1 single-nucleotide polymorphisms (SNPs) and breast cancer, the observed patterns align with established roles of fascin-1 as a regulator of cytoskeletal dynamics, cell motility, and invasive behaviour.
Fascin-1, encoded by FSCN1, is an actin-bundling protein normally expressed in neuronal and mesenchymal tissues but typically absent in quiescent epithelial cells. In malignant contexts, increased fascin-1 expression correlates with enhanced formation of filopodia and invadopodia, facilitating extracellular matrix interaction and metastatic potential. This mechanistic role has been documented across several cancers, including breast carcinoma, where fascin-1 overexpression associates with aggressive phenotypes and poor clinical outcomes. Functional studies have demonstrated that fascin expression in breast cancer cells establishes pro-metastatic gene profiles and increases motility.[9] In addition, elevated fascin-1 protein expression has been observed at significantly higher rates in triple-negative breast cancer (TNBC) compared to other subtypes, supporting its role as a marker of invasiveness.[4]
The biological relevance of fascin-1 in cancer supports the hypothesis that FSCN1 genetic variation may influence individual susceptibility to breast cancer. Candidate gene studies have evaluated several FSCN1 SNPs, such as rs3801004, rs56156320, and rs2966447, with mixed associations reported across populations. For example, specific alleles at rs56156320 were reported to increase breast cancer risk in a Chinese cohort, whereas rs3801004 demonstrated protective associations in another ethnic group.[6] These divergent findings likely reflect population heterogeneity in linkage disequilibrium patterns, allele frequencies, and environmental exposures, emphasising the importance of verifying associations across multiple ancestries.
The heterogeneity of genetic effects observed in FSCN1 mirrors broader findings in breast cancer genetics, where common risk variants identified through genome-wide association studies (GWAS) often exhibit population-specific effect sizes and directionality. Large GWAS meta-analyses have identified numerous susceptibility loci for breast cancer at genome-wide significance, including both European and Asian cohorts, but these loci together explain only a fraction of familial risk, and 2017 follow-up studies further expanded the catalogue of risk variants.[10,11] The limited GWAS coverage of FSCN1 underscores that candidate genes with strong functional rationale may not be tagged adequately by arrays, particularly if causal variants are rare or have modest effect sizes. Differences in linkage disequilibrium structure between populations can also lead to inconsistent tagging of causal alleles at the same locus.[12]
While the mechanistic rationale for FSCN1 involvement in carcinogenesis is strong, interpretation of high effect estimates for specific SNPs should be cautious. Some studies report large odds ratios for particular genotypes, such as homozygous rare alleles, but these estimates are often accompanied by wide confidence intervals. Such inflation is a known artefact of small sample sizes and low minor allele frequencies, particularly in candidate gene studies with limited statistical power.[13] Without replication in larger, independent cohorts, it remains uncertain whether observed associations represent true causal effects or are attributable to sampling variability or population stratification.
The association of FSCN1 variants with functional outcomes also remains underexplored. Neither expression quantitative trait locus (eQTL) analyses nor studies integrating genotype with tumour-specific fascin-1 expression have been reported in the context of these SNPs. Establishing a functional link between germline variation, gene expression, and phenotypic consequences in breast tissue would significantly strengthen causal inference. For example, eQTL analyses could reveal whether risk alleles correlate with elevated FSCN1 transcription in normal or neoplastic breast tissue, providing mechanistic evidence beyond statistical association.
In comparison to expression studies, the genetic data provide complementary but preliminary evidence. Immunohistochemical analyses show that fascin-1 protein levels are significantly higher in TNBC and associate with aggressive clinicopathological features, suggesting that fascin-1 contributes to tumour progression.[4] These expression patterns align with functional studies in vitro and in vivo, reinforcing the pro-invasive role of fascin-1. However, whether germline SNPs in FSCN1 directly modulate these expression patterns or act through regulatory networks remains to be elucidated.
This review’s findings have several implications for future research. First, larger, well-powered studies across ethnically diverse populations are required to validate FSCN1 SNP associations and quantify effect sizes with sufficient precision. Integration with GWAS data and polygenic risk scores may help position FSCN1 within broader genetic risk architectures. Second, functional genomics approaches, such as CRISPR perturbation of candidate variants in breast epithelial models, or allele-specific expression analysis, could clarify causal mechanisms linking genotype to phenotype. Lastly, studies combining germline genetics with tumour expression and clinical outcomes could assess the potential utility of FSCN1 variants as biomarkers for risk stratification or therapeutic targeting.
TAKE HOME MESSAGE
The current evidence supports a plausible role for FSCN1 genetic variation in breast cancer susceptibility. The findings are provisional and require replication and functional validation. The convergence of biological plausibility, expression associations, and preliminary genetic signals justifies further investigation within larger, multi-ethnic cohorts and integrative functional studies. Clarifying the contribution of FSCN1 polymorphisms to breast carcinogenesis may ultimately advance understanding of tumour invasiveness and enable more precise risk prediction models.
Ethical approval:
Institutional Review Board approval is not required.
Declaration of patient consent:
Patient's consent is not required as there are no patients in this study.
Conflicts of interest:
There are no conflicts of interest.
Use of artificial intelligence (AI)-assisted technology for manuscript preparation:
The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.
Financial support and sponsorship: Nil.
References
- Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71:209-49.
- [CrossRef] [PubMed] [Google Scholar]
- Polygenes, risk prediction, and targeted prevention of breast cancer. N Engl J Med. 2008;358:2796-803.
- [CrossRef] [PubMed] [Google Scholar]
- Circulating fascin 1 as a promising prognostic marker in adrenocortical cancer. Front Endocrinol (Lausanne). 2021;12:698862.
- [CrossRef] [PubMed] [Google Scholar]
- Fascin-1 as a novel diagnostic marker of triple-negative breast cancer. Cancer Med. 2016;5:1983-8.
- [CrossRef] [PubMed] [Google Scholar]
- FSCN1 gene polymorphisms: biomarkers for the development and progression of breast cancer. Sci Rep. 2017;7:15887.
- [CrossRef] [PubMed] [Google Scholar]
- Genetic polymorphism in FSCN1 rs3801004 C/G and CD44 rs353639 A/C, as prognostic factor in Egyptian breast cancer patients. Asian Pac J Cancer Prev. 2023;24:3517-23.
- [CrossRef] [PubMed] [Google Scholar]
- The association of FSCN1 (rs852479, rs1640233) and HOTAIR (rs920778) polymorphisms with the risk of breast cancer in Egyptian women. Mol Biol Rep. 2024;51:495.
- [CrossRef] [PubMed] [Google Scholar]
- The FSCN1 gene rs2966447 variant is associated with increased serum fascin-1 levels and breast cancer susceptibility. Gene. 2024;927:148743.
- [CrossRef] [PubMed] [Google Scholar]
- Fascin is a key regulator of breast cancer invasion that acts via the modification of metastasis-associated molecules. PLoS One. 2011;6:e27339.
- [CrossRef] [PubMed] [Google Scholar]
- Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer. Nat Genet. 2015;47:373-80.
- [CrossRef] [PubMed] [Google Scholar]
- Association analysis identifies 65 new breast cancer risk loci. Nature. 2017;551:92-4.
- [CrossRef] [PubMed] [Google Scholar]
- Critical analysis of genome-wide association studies: triple negative breast cancer quae exempli causa. Int J Mol Sci. 2020;21:5835.
- [CrossRef] [PubMed] [Google Scholar]
- Repeatability of published microarray gene expression analyses. Nat Genet. 2009;41:149-55.
- [CrossRef] [PubMed] [Google Scholar]


