Evidence map›Paper›PMID 25925136›Full record

ArticlePathology oncology research : POR2015

Interleukin-1 Gene Cluster Polymorphisms and its Haplotypes may Predict the Risk to Develop Cervical Cancer in Tunisia.

Sabrina Zidi, Ikram Sghaier, Ferjeni Zouidi, Amira Benahmed, Mouna Stayoussef, Radhia Kochkar, Ezzedine Gazouani, Amel Mezlini, Besma Yacoubi-Loueslati

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Article in Pathology oncology research : POR, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

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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

9 authors at 5 institutions in 1 country.

Sabrina ZidiFaculty of Sciences of Tunis, Laboratory of Micro-Organisms and Active Biomolecules, El Manar University, 2092 El MANAR I, Tunis, 1092, Tunisia, ZIDISABRINA86@gmail.com.
Ikram Sghaier
Ferjeni Zouidi
Amira Benahmed
Mouna Stayoussef
Radhia Kochkar
Ezzedine Gazouani
Amel Mezlini
Besma Yacoubi-Loueslati
Tunis El Manar University · TNMilitary Hospital of Tunis · TNHopital Universitaire Habib Bourguiba · TNInstitut Salah-Azaïz · TNUniversity of Monastir · TN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our study aimed to evaluate the association between IL-1α (4845 G/T), IL-1β (-511C/T) and IL-1RN (VNTR) polymorphisms and risk of cervical cancer. This case-control study investigates three polymorphisms in 130 patients and 260 controls by PCR-restriction fragment length polymorphism (RFLP). The IL-1RN (VNTR) A1/A3 genotype appear as a cervical cancer risk factor (p = 0.048; OR = 2.92; 95 % CI = 1.00-8.74), moreover, the L/2* decreased the risk (p = 0.011; OR = 0.47; 95 % CI = 0.25-0.88) and may be a protective factor against this pathology. Stratified analysis according to the FIGO stage subgroup revealed that the IL-1β-511 T/T genotype and T allele may be a protective factors against cervical cancer development for patients with early stage (p = 0.030; OR = 0.46; 95 % CI = 0.22-0.96) (p = 0.020; OR = 0.68; 95 % CI = 0.48-0.97). However, for the patients with advanced FIGO stage, IL-1RN-VNTR L/2* genotype appear as a protective factor for this pathology (p = 0.023; OR = 0.29; 95 % CI = 0.08-0.99). The (G-T-L) haplotype showed a significant decreased frequency in cervical cancer patients as compared to controls (p = 0.032; OR = 0.53; 95 % CI = 0.29-0.95). In contrast, the (T-T-2*) combination appear a risk factor for the development of cervical cancer (p = 0.018; OR = 1.57; 95 % CI = 1.07-2.30). Our study suggested that IL1 cluster polymorphisms and haplotypes may be a genetic risk factor for cervical cancer.

Indexed as

AdultAgedAged, 80 and overAllelesCase-Control StudiesFemaleGenetic Predisposition to DiseaseGenotypeHaplotypesHumansInterleukin-1Middle AgedMultigene FamilyPolymorphism, GeneticRisk FactorsTunisiaInterleukin-1

Identifiers

PMID25925136
OpenAlexW2065825728

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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.