Evidence map›Paper›PMID 34050209›Full record

ArticleScientific reports2021

Genetic evaluation of the variants using MassARRAY in non-small cell lung cancer among North Indians.

Gh Rasool Bhat, Itty Sethi, Amrita Bhat, Sonali Verma, Divya Bakshi, Bhanu Sharma, Muddasser Nazir, Khursheed A Dar, Deepak Abrol, Ruchi Shah and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
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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

11 authors at 5 institutions in 2 countries.

Gh Rasool BhatCancer Genetics Research Group, ICMR, Centre for Advanced Research, School of Biotechnology, Shri Mata Vaishno Devi University, Katra, J&K UT, India.
Itty SethiCancer Genetics Research Group, ICMR, Centre for Advanced Research, School of Biotechnology, Shri Mata Vaishno Devi University, Katra, J&K UT, India.
Amrita BhatCancer Genetics Research Group, ICMR, Centre for Advanced Research, School of Biotechnology, Shri Mata Vaishno Devi University, Katra, J&K UT, India.
Sonali VermaCancer Genetics Research Group, ICMR, Centre for Advanced Research, School of Biotechnology, Shri Mata Vaishno Devi University, Katra, J&K UT, India.
Divya BakshiCancer Genetics Research Group, ICMR, Centre for Advanced Research, School of Biotechnology, Shri Mata Vaishno Devi University, Katra, J&K UT, India.
Bhanu SharmaCancer Genetics Research Group, ICMR, Centre for Advanced Research, School of Biotechnology, Shri Mata Vaishno Devi University, Katra, J&K UT, India.
Muddasser NazirDepartment of Obstetrics and Gynecology, Government Medical College Srinagar, Srinagar, India.
Khursheed A DarChest Disease Hospital, Government Medical College, Srinagar, Srinagar, India.
Deepak AbrolDepartment of Radiotherapy, Government Medical College, Kathua, Jammu, India.
Ruchi ShahCancer Genetics Research Group, ICMR, Centre for Advanced Research, School of Biotechnology, Shri Mata Vaishno Devi University, Katra, J&K UT, India. scientistdobt@gmail.com.
Rakesh KumarCancer Genetics Research Group, ICMR, Centre for Advanced Research, School of Biotechnology, Shri Mata Vaishno Devi University, Katra, J&K UT, India. drrakeshthusoo@gmail.com.
Shri Mata Vaishno Devi University · INCancer Genetics (United States) · USGovernment Medical College · INGovernment Medical College · INUniversity of Kashmir · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is genetically diverse and a major health burden. Non-small cell lung cancer (NSCLC) accounts for 80% of total lung cancer cases and 20% cases are Small cell lung cancer (SCLC). The present case-control association study focused on the cost effective high throughput genotyping using Agena MassARRAY matrix-assisted laser desorption/ionization-time of flight, mass spectrometry (MALDI-TOF) platform to analyze the genetic association of candidate genetic variants. We performed multiplex PCR and genotyped twelve single nucleotide polymorphisms (SNPs) in 723 samples (162 NSCLC cases and 592 healthy controls). These genetic variants were selected from literature for their association with various cancers worldwide and this is the first study from the region to examine these critically important genetic variants. With prospective case-control association study design, twelve variants from ten genes were evaluated. Amongst these six variants, TCF21 (rs12190287), ERCC1 (rs2298881, 11615), ERCC5 (rs751402), ARNTL (rs4757151), BRIP1 (rs4986764) showed significant association with NSCLC risk (p ≤ 0.003) in Jammu and Kashmir population. In-silico findings of these genetic variants showed remarkable functional roles that needs in-vitro validations. It is further anticipated that such case control studies will help us in understanding the missing heritability of non-small cell lung cancer.

Indexed as

AllelesAsian PeopleCarcinoma, Non-Small-Cell LungCase-Control StudiesGene ExpressionGene Expression ProfilingGene FrequencyGenetic Association StudiesGenetic Predisposition to DiseaseGenetic VariationGenotypeHumansIndiaLung NeoplasmsPolymorphism, Single NucleotideSpectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization

Identifiers

PMID34050209
PMCPMC8163781
OpenAlexW3165265757

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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.