Evidence map›Paper›PMID 36164638›Full record

ArticleReports of biochemistry & molecular biology2022

Association of a Genetic Variant in the Cyclin-Dependent Kinase Inhibitor 2B with Risk of Pancreatic Cancer.

Newsha Sardarzadeh, Fatemeh Khojasteh-Leylakoohi, Sedigheh Damavandi, Ghazaleh Khalili-Tanha, Mohammad Dashtiahangar, Nima Khalili-Tanha, Amir Avan, Sakineh Amoueian, Seyed Mahdi Hassanian, Habibollah Esmaily and 4 more

Open access · greenAbstract read
In one paragraph

Article in Reports of biochemistry & molecular biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 45% of its field
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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

14 authors at 2 institutions in 2 countries.

Newsha SardarzadehSurgical Oncology Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Fatemeh Khojasteh-LeylakoohiMetabolic syndrome Research center, Mashhad University of Medical Sciences, Mashhad, Iran.
Sedigheh DamavandiMetabolic syndrome Research center, Mashhad University of Medical Sciences, Mashhad, Iran.
Ghazaleh Khalili-TanhaBasic Medical Sciences Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
Mohammad DashtiahangarMetabolic syndrome Research center, Mashhad University of Medical Sciences, Mashhad, Iran.
Nima Khalili-TanhaMetabolic syndrome Research center, Mashhad University of Medical Sciences, Mashhad, Iran.
Amir AvanMetabolic syndrome Research center, Mashhad University of Medical Sciences, Mashhad, Iran.
Sakineh AmoueianDepartment of Pathology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Seyed Mahdi HassanianMetabolic syndrome Research center, Mashhad University of Medical Sciences, Mashhad, Iran.
Habibollah EsmailyMetabolic syndrome Research center, Mashhad University of Medical Sciences, Mashhad, Iran.
Majid KhazaeiMetabolic syndrome Research center, Mashhad University of Medical Sciences, Mashhad, Iran.
Gordon FernsBrighton & Sussex Medical School, Division of Medical Education, Falmer, Brighton, Sussex BN1 9PH, UK.
Alireza KhooeiDepartment of Pathology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Mohsen AliakbarianSurgical Oncology Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Mashhad University of Medical Sciences · IRBrighton and Sussex Medical School · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pancreatic cancer (PC) is among the most aggressive tumors with a poor prognosis, indicating the need for the identification of a novel prognostic biomarker for risk stratifications. Recent genome-wide association studies have demonstrated common genetic variants in a region on chromosome 9p21 associated with an increased risk of different malignancies. Methods: In the present study, we explore the possible relationship between genetic variant, rs10811661, and gene expression of CDKN2B in 75 pancreatic cancer patients, and 188 healthy individuals. DNAs were extracted and genotyping and gene expression were performed by TaqMan real-time PCR and RT-PCR, respectively. Logistic regression was used to assess the association between risk and genotypes, while the significant prognostic variables in the univariate analysis were included in multivariate analyses. Results: The patients with PDAC had a higher frequency of a TT genotype for rs10811661 than the control group. Also, PDAC patients with dominant genetic model, (TT + TC), was associated with increased risk of developing PDAC (OR= 14.71, 95% CI [1.96-110.35], p= 0.009). Moreover, patients with CC genotype had a higher expression of CDKN2B, in comparison with TT genotype. Conclusion: Our findings demonstrated that CDKN2A/B was associated with the risk of developing PDAC, supporting further investigations in the larger and multicenter setting to validate the potential value of this gene as an emerging marker for PDAC.

Indexed as

CDKN2A/BPancreatic cancerPrognostic biomarkerRs10811661

Identifiers

PMID36164638
PMCPMC9455181
OpenAlexW4297264801

What OpenQuestion holds

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Registered trials

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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.