Evidence map›Paper›PMID 33402978›Full record

ArticleAfrican health sciences2020

Association of Rs61764370 polymorphism within let-7 microRNA-binding site with lung cancer in Iranian population.

Neda Farokhzad, Sayed Mostafa Hosseini, Houri Edalat, Morteza Sadeghi

Open access · diamondAbstract read
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Article in African health sciences, 2020. 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 49% 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, 8 citations in OpenAlex.

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  6. Twenty years ofAfrican health sciences · 2020
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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

4 authors at 1 institution in 1 country.

Neda FarokhzadHuman Genetics Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Sayed Mostafa HosseiniHuman Genetics Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Houri EdalatHuman Genetics Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Morteza SadeghiHuman Genetics Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Baqiyatallah University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPolymorphisms within miRNAs binding sites are associated with miRNAs function. The aim of this study was to investigate the relationship between rs61764370 polymorphism within let-7 miRNA binding site in KRAS gene and the risk of lung cancer in Iranian population.

methodsThis case-control study was conducted with 100 lung cancer patients and 100 healthy persons. The rs61764370 polymorphism was analyzed using PCR-RFLP technique and direct sequencing.

resultsWe found a significant relationship between rs61764370 (T / G) polymorphism and lung cancer risk, the GT genotype (OR: 6.25; 95% CI = 2.605-15.00; P= 0.000) and G allele (OR: 5.25; 95% CI = 2.259-12.208; P= 0.000) were significantly associated with an increased risk of lung cancer.

conclusionAccording to our findings, there is a significant relationship between the KRAS rs61764370 polymorphism and lung cancer risk in Iranian population and this polymorphism may be used as a marker in detection of lung cancer in the future.

Indexed as

AdultAgedAmplified Fragment Length Polymorphism AnalysisBinding SitesCase-Control StudiesFemaleGenetic Predisposition to DiseaseHumansIranLung NeoplasmsMaleMicroRNAsMiddle AgedPolymorphism, GeneticProto-Oncogene Proteins p21(ras)KRAS protein, humanMicroRNAsmirnlet7 microRNA, humanProto-Oncogene Proteins p21(ras)KRASLet-7lung cancerPolymorphism

Identifiers

PMID33402978
PMCPMC7751538
OpenAlexW3092429121

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.