Evidence map›Paper›PMID 34759748›Full record

ArticleSaudi journal of biological sciences2021

Involvement of INF-γ functional single nucleotide polymorphism +874 T/A (rs2430561) in breast cancer risk.

Hanan E Al-Rashidi, Sherif Refaat, Enas Ahmed, Dalia T Hussein, Fatma M Eltantawy, Sahar Hamed

Abstract read
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Article in Saudi journal of biological sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. The functional TNF-αBreast cancer research and treatment · 2025
    Article
  2. Article
  3. Article
  4. 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

6 authors.

Hanan E Al-RashidiMedical Laboratory Technology Department, College of Applied Medical Science, Taibah University, Madinah, Saudi Arabia.
Sherif RefaatOncology Center, Mansoura University, Egypt.
Enas AhmedEmergency Hospital, Mansoura University, Egypt.
Dalia T HusseinChildren's Hospital, Mansoura University, Egypt.
Fatma M EltantawyUrology and Nephrology Center, Mansoura University, Egypt.
Sahar HamedUrology and Nephrology Center, Mansoura University, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

According Global Cancer Statistics 2020 GLOBOCAN estimates female breast cancer was found as the most commonly diagnosed cancer, with an estimated 2.3 million new cases (11.7%), and the fourth leading cause (6.9%) of cancer death among women worldwide. Identification of new diagnostic marker sharply characterize the tumor feature is intensive need. The present work was performed to investigate the involvement of the INF-γ + 874 T/A gene polymorphism in different breast cancer prognostic factors. Polymorphism detection analysis was performed on 163 subjects from breast cancer patients, 79 with inflamed cells of breast patients and 144 controls. The gene polymorphism was detected using the amplification refractory mutation system- polymerase chain reaction method (ARMS-PCR). The distribution of INF-γ T + 874A gene polymorphism shows strong significant association between INF-γ + 874 T/A genotypes TT in BC patients (ORTT: 6.41 [95% CI = 2.72-15.1] P < 0.0001) as well as strong significant association regarding T allele (ORT: 1.99 [95% CI = 1.43-2.76] P < 0.0001) when compared to the healthy control. In ICB group the strong association was noted with INF-γ + 874 T/A genotypes AT genotype (ORAT: 2.28 [95% CI = 1.22-4.29] P = 0.007). From the different histological BC hormonal markers the human epidermal growth factor receptor 2 (HER2) was showing significant association in INF-γ + 874 T/A genotypes TT (P = 0.03) and recessive model (TT versus AA + AT P = 0.03). Concerning different BC prognostic models, the poor prognostic one of luminal B, (ER

Indexed as

ARMS-PCR, amplification refractory mutation system, polymerase chain reaction methodBC, Breast cancerBreast cancerC, controlsCD, cluster of differentiationCI, 95% confidence intervalsER, estrogen receptorGenotypesGPI, good prognostic indexHER2, human epidermal growth factor receptor 2ICB, inflamed cells of breastIL, interleukinINF-γINF-γ, Interferon-γIRB, Institutional Review BoardISGs, INF-stimulated genesMPI, moderate prognostic indexNK, natural killer cellsNPI, the mandatory prognostic indexOR, odds ratioPAM50, Prediction Analysis of Microarray 50PolymorphismPPI, poor prognostic indexPR, progesterone receptorRisk factorSNPs, single nucleotide polymorphismTGF-β, transforming growth factor-βTh1, T helper1TNBC, Triple Negative BCTNF-α, tumor necrosis factor-α

Identifiers

PMID34759748
PMCPMC8568710

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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.