Evidence map›Paper›PMID 30906836›Full record

ArticleGenes & diseases2019

Integrated transcriptome interactome study of oncogenes and tumor suppressor genes in breast cancer.

G Pranavathiyani, Raja Rajeswary Thanmalagan, Naorem Leimarembi Devi, Amouda Venkatesan

Open access · diamondAbstract read
In one paragraph

Article in Genes & diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 23 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

4 authors at 1 institution in 1 country.

G PranavathiyaniCentre for Bioinformatics, School of Life Sciences, Pondicherry University, Pondicherry 605014, India.
Raja Rajeswary ThanmalaganCentre for Bioinformatics, School of Life Sciences, Pondicherry University, Pondicherry 605014, India.
Naorem Leimarembi DeviCentre for Bioinformatics, School of Life Sciences, Pondicherry University, Pondicherry 605014, India.
Amouda VenkatesanCentre for Bioinformatics, School of Life Sciences, Pondicherry University, Pondicherry 605014, India.
Pondicherry University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the leading cause for mortality among women worldwide. Dysregulation of oncogenes and tumor suppressor genes is the major reason for the cause of cancer. Understanding these genes will provide clues and insights about their regulatory mechanism and their interplay in cancer. In the present study, an attempt is made to compare the functional characteristics and interactions of oncogenes and tumor suppressor genes to understand their biological role. 431 breast cancer samples from seven publicly available microarray datasets were collected and analysed using GEO2R tool. The identified 416 differentially expressed genes were classified into five gene sets as oncogenes (OG), tumor suppressor genes (TSG), druggable genes, essential genes and other genes. The gene sets were subjected to various analysis such as enrichment analysis (

Indexed as

Breast cancerDifferential gene expressionNetwork analysisOncogenesTumor suppressor genes

Identifiers

PMID30906836
PMCPMC6411624
OpenAlexW2900638230

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.