Evidence map›Paper›PMID 40657553›Full record

ArticleAdvanced genetics (Hoboken, N.J.)2025

The Impact of the Rs1044457 Polymorphism in the CMPK1 Gene on the Response Rate to Gemcitabine-Based Chemotherapy in Metastatic NSCLC Patients.

Ghassan Saod Saleh, Fouad Kadhim Gatea, Qasim Sharhan Al-Mayah, Hayder Lazim

Abstract read
In one paragraph

Article in Advanced genetics (Hoboken, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Ghassan Saod SalehMinistry of Health, Salahuddin Health Directory Al-Alam General Hospital Salahuddin Iraq.ORCID https://orcid.org/0009-0008-9864-5654
Fouad Kadhim GateaDepartment of Pharmacology and Therapeutics College of Medicine Al-Nahrain University Baghdad Iraq.ORCID https://orcid.org/0000-0002-4067-7986
Qasim Sharhan Al-MayahMedical Research Unit College of Medicine Al-Nahrain University Baghdad Iraq.ORCID https://orcid.org/0000-0002-3883-5295
Hayder LazimFaculty of Health Social Care and Medicine (FHSCM) School of Medicine Edge Hill University Ormskirk L39 4QP UK.ORCID https://orcid.org/0000-0002-0648-5593

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to evaluate the role of a specific gene polymorphism, Cytidine/Uridine Monophosphate Kinase 1 (CMPK1) rs1044457, in predicting the response to gemcitabine-based chemotherapy in patients with NSCLC. A total of 98 NSCLC patients are enrolled in the study. Based on their response, patients are classified as either responders or non-responders. Specific primers are designed to amplify the rs1044457 variant and performed genotyping using restriction fragment length polymorphism (RFLP). The rs1044457 variant showed a statistically significant difference in frequency between responder and non-responder patients. The mutant genotype (TT) is more frequent in non-responder patients (18.75%) compared to responder patients (4%), with an odds ratio [OR] of 5.93 (95% confidence interval [CI] = 1.16-30.25, p = 0.032). Additionally, at the allelic level, the mutant allele (T) is more common in non-responder patients (36.46%) compared to responder patients (23%), with a statistically significant odds ratio of 1.92 (95% CI = 1.03-3.58, p = 0.040). The findings of this study suggest that the mutant allele (allele T) of the rs1044457 variant may serve as a risk factor for resistance to gemcitabine-based chemotherapy in patients with NSCLC.

Indexed as

CMPK1 gene polymorphismgemcitabine response ratenon‐small cell lung cancerrs1044457 polymorphism

Identifiers

PMID40657553
PMCPMC12245479

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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.