Evidence map›Paper›PMID 30949322›Full record

ArticleGastroenterology and hepatology from bed to bench2019

Investigation of health benefits of cocoa in human colorectal cancer cell line, HT-29 through interactome analysis.

Mona Zamanian-Azodi, Mostafa Rezaei-Tavirani

Open access · greenAbstract read
In one paragraph

Article in Gastroenterology and hepatology from bed to bench, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 11 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

2 authors at 1 institution in 1 country.

Mona Zamanian-AzodiStudent Research Committee, Proteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mostafa Rezaei-TaviraniProteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Shahid Beheshti University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis bioinformatics study aims to identify the potential key genes influenced by cocoa extraction treatment on colon cancer cell line HT-29 after 24h.

backgroundCocoa consumption has been claimed to have beneficial effects on human body including protection against diseases such as different types of cancers. However, the mechanisms behind this is still remained to be studied.

methodsThe microarray dataset (GSE94154) from GEO, was the source for differentially expressed genes (DEGs) extraction through GEO2R analysis. The comparison was between 3 controls of colorectal cell line HT-29 and 3 ones incubated with 500 µg cocoa extraction after 24 h. Afterwards, the top significant DEGs were assigned for protein-protein interaction network construction and analysis by Cytoscape v 3.7.0. and the related applications.

resultsThe findings indicate that there are 222 up-regulated and 28 down-regulated genes among 250 top-ranked DEGs in cocoa incubated group. What is more, centrality analysis of the DEGs network identified 10 hub-bottlenecks that ISG15, MX 1, and STAT1 were among the significant differential expression genes with the contribution in type 1 interferon signaling pathway, positive regulation of erythrocyte differentiation, and negative regulation of viral genome replication.

conclusionIn conclusion, the underlying mechanisms of cocoa treatment could be clarified by its up-regulatory and modulatory effect on prominent genes of tumor suppressor family. In other words, valuable clues for future clinical studies of cocoa health benefits are highlighted as anticancer agent in this study once validation studies are carried out.

Indexed as

Cocoa extractionColon cancerInteractomeTranscriptome

Identifiers

PMID30949322
PMCPMC6441487
OpenAlexW2920602274

What OpenQuestion holds

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LicenceCC BY
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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.