Long noncoding RNA polymorphisms in gynecological cancers

Esmat Abdi1, Saeid Latifi-Navid1, Alireza Panahi1

  • 1Department of Biology, Faculty of Sciences, University of Mohaghegh Ardabili, Ardabil, 5619911367, Iran.

Personalized Medicine
|December 14, 2023
PubMed

Insights

Long noncoding RNA (lncRNA) polymorphisms show promise for predicting gynecological cancer risk and guiding personalized treatments. Further research is needed to confirm these findings across diverse populations.

Area of Science:

  • Oncology
  • Genetics
  • Molecular Biology

Background:

  • Gynecological malignancies contribute significantly to cancer mortality.
  • Current treatments for these cancers remain insufficient despite therapeutic advances.
  • Long noncoding RNAs (lncRNAs) play crucial roles in cellular processes like differentiation, proliferation, and apoptosis, and their dysregulation is linked to tumorigenesis.

Purpose of the Study:

  • To comprehensively review the impact of lncRNA polymorphisms on gynecological cancers.
  • To explore the potential of lncRNA variants in cancer risk assessment and early diagnosis.
  • To evaluate the role of lncRNA polymorphisms in developing personalized therapeutic strategies for gynecological malignancies.

Main Methods:

  • Literature review of studies investigating lncRNA polymorphisms in gynecological cancers.
  • Analysis of how single nucleotide polymorphisms (SNPs) affect lncRNA function and expression.
  • Synthesis of evidence regarding the predictive value of lncRNA variants for cancer risk and treatment.

Main Results:

  • lncRNA polymorphisms can influence lncRNA expression and function, contributing to cancer development.
  • Specific lncRNA variants show potential as biomarkers for predicting cancer risk.
  • These genetic variations may offer avenues for early detection and tailored therapies in gynecological oncology.

Conclusions:

  • lncRNA polymorphisms are implicated in the development and progression of gynecological cancers.
  • lncRNA-related variants hold promise for improving cancer incidence evaluation, early detection, and personalized management.
  • Further extensive studies are necessary to validate these findings in larger, diverse ethnic cohorts.

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