Evidence map›Paper›PMID 35462603›Full record

SynthesisJournal of the Egyptian National Cancer Institute2022

A microRNA binding site polymorphism in the 3' UTR region of VEGF-A gene modifies colorectal cancer risk based on ethnicity: a meta-analysis.

Sai Sushmitha Kontham, Charles Emmanuel Jebaraj Walter, Zioni Sangeetha Shankaran, Arvind Ramanathan, Nirmala Karuppasamy, Thanka Johnson

Open access · diamondAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of the Egyptian National Cancer Institute, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 52% 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, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Impact of Mir196a-2 Genotypes on Colorectal Cancer Risk in Taiwan.International journal of molecular sciences · 2023
    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 at 2 institutions in 1 country.

Sai Sushmitha Kontham *Department of Biotechnology, Sri Ramachandra Institute of Higher Education & Research (formerly Sri Ramachandra Medical College & Research Institute), Chennai, India.
Charles Emmanuel Jebaraj Walter *Department of Biotechnology, Sri Ramachandra Institute of Higher Education & Research (formerly Sri Ramachandra Medical College & Research Institute), Chennai, India. cejwalter@sriramachandra.edu.in.ORCID http://orcid.org/0000-0003-1370-5205
Zioni Sangeetha ShankaranDepartment of Biotechnology, Sri Ramachandra Institute of Higher Education & Research (formerly Sri Ramachandra Medical College & Research Institute), Chennai, India.
Arvind RamanathanHuman Genetics Laboratory, Sree Balaji Dental College & Hospital, Bharath Institute of Higher Education & Research, Chennai, 600116, India.
Nirmala KaruppasamyDepartment of Biotechnology, Sri Ramachandra Institute of Higher Education & Research (formerly Sri Ramachandra Medical College & Research Institute), Chennai, India.
Thanka JohnsonDepartment of Pathology, Sri Ramachandra Institute of Higher Education & Research (formerly Sri Ramachandra Medical College & Research Institute), Chennai, India.
Sri Ramachandra Institute of Higher Education and Research · INSree Balaji Dental College and Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVascular endothelial growth factor A (VEGF-A) plays an integral role in angiogenesis by contributing to growth, development, and metastasis of solid tumors. Recently, a single-nucleotide polymorphism +936C/T located in the VEGF-A 3' untranslated region (UTR) facilitated the susceptibility of colorectal cancer. The association between VEGF-A gene polymorphism +936C/T and colorectal cancer risk has been widely studied in the last decade, but presently, the results furnished remain enigmatic. Hence, the study aimed to investigate the association between VEGF-A +936C/T miRNA binding site polymorphism and the risk of developing colorectal cancer.

methodsThis meta-analysis included 13 published case-control studies covering 3465 cases (colorectal cancer) and 3476 healthy controls. Publication bias was examined by means of Begg's funnel plots and Egger's regression tests. The quality of the studies included was evaluated using Newcastle-Ottawa scale. Subgroup analyses were performed in accordance to the various ethnicities of the study subjects and the study quality.

resultsFrom the data obtained, it is implied that VEGF-A +936C/T polymorphism did not correlate with elevated colorectal cancer risk in all genetic models. But the results acquired from the subgroup analysis in over dominant model (CT vs. CC + TT: OR = 1.5047, 95% CI = 1.19-1.90) suggest that VEGF-A +936C/T polymorphism leads to the raise in the risk of developing CRC among the East Asian population. No association was observed in Caucasian and South Asian population.

conclusionsOur results indicate that VEGF-A +936C/T polymorphism is not a risk factor for developing CRC in Caucasian and South Asian population. However, the East Asian population was related to an increased risk of developing colorectal cancer due to the presence of the minor allele.

Indexed as

3' Untranslated RegionsColorectal NeoplasmsMicroRNAsVascular Endothelial Growth Factor ABinding SitesCase-Control StudiesEthnicityGenetic Predisposition to DiseaseHumansPolymorphism, Single NucleotideRisk3' Untranslated RegionsMicroRNAsVascular Endothelial Growth Factor A+936C/TColorectal cancerMeta-analysisMicroRNA polymorphismsVEGF-A

Identifiers

PMID35462603
PMCPMC13314259
OpenAlexW4224325895

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.