Evidence map›Paper›PMID 40647471›Full record

ReviewCancers2025

Genetic Polymorphisms in Base Excision Repair (BER) and Nucleotide Excision Repair (NER) Pathways as Potential Biomarkers for Gynecological Cancers: A Comprehensive Literature Review.

Magdalena Szatkowska, Julita Zdrada-Nowak

Abstract readReview
In one paragraph

Review in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Magdalena SzatkowskaDepartment of Cosmetology and Medical Biology, Wladyslaw Bieganski Collegium Medicum, Jan Dlugosz University in Czestochowa, 42-200 Czestochowa, Poland.ORCID 0009-0003-2803-3955
Julita Zdrada-NowakDepartment of Cosmetology and Medical Biology, Wladyslaw Bieganski Collegium Medicum, Jan Dlugosz University in Czestochowa, 42-200 Czestochowa, Poland.ORCID 0000-0003-3255-457X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2022, approximately 1.4 million new cases of gynecological cancers were diagnosed worldwide, accounting for a significant share of all female cancer cases, according to the World Cancer Research Fund. DNA repair mechanisms play a critical role in maintaining genomic integrity, and their dysfunction can lead to the accumulation of DNA damage, thereby increasing the risk of gynecological cancer development. Single nucleotide polymorphisms (SNPs) in genes involved in DNA repair pathways, such as Base Excision Repair (BER) and Nucleotide Excision Repair (NER), represent important biomarkers for gynecological malignancies. These polymorphisms can affect the efficiency of DNA repair processes, thereby influencing individual susceptibility to cancer. SNPs within the BER and NER pathways exhibit high specificity, enabling accurate detection and monitoring of gynecological cancers, as well as the identification of individuals at elevated risk. This facilitates early risk assessment and supports the implementation of preventive strategies. Compared to traditional biomarkers such as CA-125, SNPs allow for the detection of genomic alterations at an earlier, preclinical stage. Furthermore, the characterization of SNPs in BER and NER pathways may serve as a foundation for personalized therapy, allowing treatment to be tailored to the patient's specific genetic mutations. To identify polymorphisms in the BER and NER pathways associated with gynecological cancer risk, a systematic analysis of 128 scientific articles was conducted, which may serve as a solid foundation for advancing precision oncology and improving the early diagnosis of gynecological cancers.

Indexed as

BERbiomarkersbreast cancercervical cancerendometrial cancergynecological cancerNERovarian cancerpersonalized therapySNPs

Identifiers

PMID40647471
PMCPMC12249323

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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.