Evidence map›Paper›PMID 40779029›Full record

SynthesisBreast cancer research and treatment2025

Association between ESR1 polymorphisms (XbaI & PvuII) and breast cancer risk: a comprehensive meta-analysis of case-control studies.

Ishan Behlam, Amrit Sudershan, Indu Priya, Srishty Sudershan, Adesh K Saini, Ravi Sharma, Mohd Younis, Rachna Sabharwal, Pawan Kumar, Sunita Manhas and 1 more

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Synthesis in Breast cancer research and treatment, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Ishan Behlam *Department of Biochemistry, Maharishi Markandeshwar Institute of Medical Science & Research, Mullana, Ambala, Haryana, India.
Amrit Sudershan *Institute of Human Genetics, University of Jammu, Jammu, Jammu & Kashmir, India.
Indu PriyaDepartment of Biochemistry, Government Medical College, Jammu, Jammu & Kashmir, India.
Srishty SudershanDepartment of Zoology, Central University of Jammu, Samba, Jammu & Kashmir, India.
Adesh K SainiDepartment of Biochemistry, Maharishi Markandeshwar Institute of Medical Science & Research, Mullana, Ambala, Haryana, India.
Ravi SharmaDepartment of Zoology, University of Jammu, Jammu, Jammu & Kashmir, India.
Mohd YounisInstitute of Human Genetics, University of Jammu, Jammu, Jammu & Kashmir, India.
Rachna SabharwalDepartment of Biochemistry, Government Medical College, Jammu, Jammu & Kashmir, India.
Pawan KumarDepartment of Radiation Oncology, Government Medical College Kathua, Jammu, Jammu & Kashmir, India.
Sunita ManhasDepartment of Biochemistry, Maharishi Markandeshwar Institute of Medical Science & Research, Mullana, Ambala, Haryana, India. Sunitamanhas@yahoo.com.
Parvinder KumarInstitute of Human Genetics, University of Jammu, Jammu, Jammu & Kashmir, India. drparvinderkumar@jammuuniversity.ac.in.ORCID http://orcid.org/0000-0003-1039-6638

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer is one of the most common malignancies worldwide with notable geographic variation in incidence and mortality. Its risk is shaped by both environmental and genetic factors. Among the genetic contributors, ESR1 intronic polymorphisms such as XbaI and PvuII have been associated with breast cancer susceptibility, though results across populations remain inconsistent.

aimIn light of these discrepancies, the present study aimed to comprehensively evaluate the association between ESR1 polymorphisms (XbaI and PvuII) and breast cancer risk using a meta-analytical approach, with particular attention to ethnicity-based subgroup effects and methodological rigor.

methodsA systematic review was conducted per PRISMA guidelines using PubMed, Semantic Scholar, and Google Scholar. Twenty-six studies on XbaI and 28 on PvuII polymorphisms were included based on set criteria. Genotype and allele data were extracted, with study quality checked via the Newcastle-Ottawa Scale. Studies deviating from Hardy-Weinberg Equilibrium were excluded. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated across multiple genetic models. Heterogeneity was evaluated using I

resultsMeta-analysis of ESR1 XbaI showed no significant association with breast cancer risk across all genetic models (e.g., allelic OR = 0.9957; p = 0.898), including ethnic subgroups (African, Asian, Caucasian). Moderate heterogeneity was noted, but sensitivity and publication bias analyses confirmed result stability. Similarly, ESR1 PvuII showed no overall association (e.g., allelic OR = 0.9755; p = 0.406); however, significant associations emerged in Africans (e.g., dominant OR = 1.7992; p = 0.012), suggesting ethnic-specific susceptibility. DISCUSSION &

conclusionWhile ESR1 XbaI and PvuII polymorphisms are not associated with overall breast cancer risk, the PvuII variant may influence susceptibility in African populations. These findings highlight the need for large, multi-ethnic studies with standardized methods to clarify population-specific genetic risks.

Indexed as

Breast NeoplasmsEstrogen Receptor alphaGenetic Predisposition to DiseasePolymorphism, GeneticPolymorphism, Single NucleotideAllelesCase-Control StudiesFemaleGenetic Association StudiesGenotypeHumansOdds RatioRisk FactorsESR1 protein, humanEstrogen Receptor alphaBreast cancerESR1Genetic susceptibilityPvuIIXbaI

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.