The impact of genetic variants of the IGF-1 axis on surgical outcomes and prognosis in ovarian cancer

Ovarian cancer (OC) remains the most lethal gynaecological malignancy, largely due to late-stage diagnosis, tumour heterogeneity, and high recurrence rates. The insulin-like growth factor-1 (IGF-1) axis has been implicated in tumour proliferation, survival, and treatment resistance. Yet, the prognostic relevance of its genetic variants in OC is not well established. The present study aims to evaluate the impact of two IGF-1-related single-nucleotide polymorphisms (SNPs), IGF1 rs6220 and IGF1R rs2016347, on the clinical outcome of 330 OC patients. SNP genotyping was performed using the TaqMan® Allelic Discrimination methodology. Regarding IGF1 rs6220, G allele carriers presented significantly improved overall survival compared with AA homozygotes within the subgroup of women undergoing suboptimal cytoreductive surgery (residual disease ≥ 1 cm) (p = 0.039). As for IGF1R rs2016347, the TT genotype was associated with shorter disease-free survival than A allele carriers within the well-differentiated tumour group (p = 0.028). These results indicate a context-dependent impact of IGF-1 axis polymorphisms on OC prognosis, suggesting their potential utility as molecular markers. Further validation in larger, independent cohorts, together with functional studies, is warranted to confirm these results and clarify the biological mechanisms underlying the influence of IGF-1-related genetic variants on OC behaviour.

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Publication Details

Journal
Molecular Biology Reports
Published
2026-02-04
DOI
https://doi.org/10.1007/s11033-026-11508-4
Primary Topic
Growth Hormone and Insulin-like Growth Factors
Type
article
Field-Weighted Citation Impact
0.00

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article

The impact of genetic variants of the IGF-1 axis on surgical outcomes and prognosis in ovarian cancer

Deolinda Pickler Pereira, Rui Medeiros, Inês Guerra de Melo, Mariana Moreira Pires et al.
Molecular Biology Reports
Growth Hormone and Insulin-like Growth Factors
article

The impact of genetic variants of the IGF-1 axis on surgical outcomes and prognosis in ovarian cancer

Deolinda Pickler Pereira, Rui Medeiros, Inês Guerra de Melo, Mariana Moreira Pires, Valéria Tavares, Inês de Almeida Lopes
article en

Abstract

Ovarian cancer (OC) remains the most lethal gynaecological malignancy, largely due to late-stage diagnosis, tumour heterogeneity, and high recurrence rates. The insulin-like growth factor-1 (IGF-1) axis has been implicated in tumour proliferation, survival, and treatment resistance. Yet, the prognostic relevance of its genetic variants in OC is not well established. The present study aims to evaluate the impact of two IGF-1-related single-nucleotide polymorphisms (SNPs), IGF1 rs6220 and IGF1R rs2016347, on the clinical outcome of 330 OC patients. SNP genotyping was performed using the TaqMan® Allelic Discrimination methodology. Regarding IGF1 rs6220, G allele carriers presented significantly improved overall survival compared with AA homozygotes within the subgroup of women undergoing suboptimal cytoreductive surgery (residual disease ≥ 1 cm) (p = 0.039). As for IGF1R rs2016347, the TT genotype was associated with shorter disease-free survival than A allele carriers within the well-differentiated tumour group (p = 0.028). These results indicate a context-dependent impact of IGF-1 axis polymorphisms on OC prognosis, suggesting their potential utility as molecular markers. Further validation in larger, independent cohorts, together with functional studies, is warranted to confirm these results and clarify the biological mechanisms underlying the influence of IGF-1-related genetic variants on OC behaviour.

Molecular Biology ReportsVol. 53(1)
Fernando Pessoa University (PT), Universidade do Porto (PT), Portuguese League Against Epilepsy (PT), Instituto Português de Oncologia Francisco Gentil (PT)
Ministério da Saúde, Liga Portuguesa Contra o Cancro, Fundação para a Ciência e a Tecnologia
Gender equality
Openalex Percentile: Top 68%
Growth Hormone and Insulin-like Growth Factors
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