Evidence map›Paper›PMID 29927945›Full record

ArticlePloS one2018

Exploring novel key regulators in breast cancer network.

Shahnawaz Ali, Md Zubbair Malik, Soibam Shyamchand Singh, Keilash Chirom, Romana Ishrat, R K Brojen Singh

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Review
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  8. Phycocyanin fromLife (Basel, Switzerland) · 2021
    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

6 authors.

Shahnawaz AliCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi-110025, India.
Md Zubbair MalikCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi-110025, India.
Soibam Shyamchand SinghSchool of Computational & Integrative Sciences, Jawaharlal Nehru University, New Delhi-110067, India.
Keilash ChiromSchool of Computational & Integrative Sciences, Jawaharlal Nehru University, New Delhi-110067, India.
Romana IshratCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi-110025, India.
R K Brojen SinghSchool of Computational & Integrative Sciences, Jawaharlal Nehru University, New Delhi-110067, India.ORCID 0000-0001-6856-5655

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The breast cancer network constructed from 70 experimentally verified genes is found to follow hierarchical scale free nature with heterogeneous modular organization and diverge leading hubs. The topological parameters (degree distributions, clustering co-efficient, connectivity and centralities) of this network obey fractal rules indicating absence of centrality lethality rule, and efficient communication among the components. From the network theoretical approach, we identified few key regulators out of large number of leading hubs, which are deeply rooted from top to down of the network, serve as backbone of the network, and possible target genes. However, p53, which is one of these key regulators, is found to be in low rank and keep itself at low profile but directly cross-talks with important genes BRCA2 and BRCA3. The popularity of these hubs gets changed in unpredictable way at various levels of organization thus showing disassortive nature. The local community paradigm approach in this network shows strong correlation of nodes in majority of modules/sub-modules (fast communication among nodes) and weak correlation of nodes only in few modules/sub-modules (slow communication among nodes) at various levels of network organization.

Indexed as

AlgorithmsBRCA1 ProteinBRCA2 ProteinBreast NeoplasmsCluster AnalysisFemaleHumansProtein Interaction MapsTumor Suppressor Protein p53BRCA1 ProteinBRCA2 ProteinTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID29927945
PMCPMC6013121

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.