Evidence map›Paper›PMID 39239087›Full record

ArticleBioinformatics and biology insights2024

Identification of Hub of the Hub-Genes From Different Individual Studies for Early Diagnosis, Prognosis, and Therapies of Breast Cancer.

Md Shahin Alam, Adiba Sultana, Md Kaderi Kibria, Alima Khanam, Guanghui Wang, Md Nurul Haque Mollah

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PubMed Full text at PMC Publisher
In one paragraph

Article in Bioinformatics and biology insights, 2024. 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
–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

3 citing papers in PubMed.

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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.

Md Shahin AlamCenter of Translational Medicine, The First People's Hospital of Taicang, Taicang Affiliated Hospital of Soochow University, Suzhou, China.ORCID https://orcid.org/0000-0003-4703-653X
Adiba SultanaBioinformatics Laboratory (Dry), Department of Statistics, University of Rajshahi, Rajshahi, Bangladesh.
Md Kaderi KibriaBioinformatics Laboratory (Dry), Department of Statistics, University of Rajshahi, Rajshahi, Bangladesh.
Alima KhanamDepartment of Biochemistry and Molecular Biology, University of Rajshahi, Rajshahi, Bangladesh.
Guanghui WangCenter of Translational Medicine, The First People's Hospital of Taicang, Taicang Affiliated Hospital of Soochow University, Suzhou, China.
Md Nurul Haque MollahBioinformatics Laboratory (Dry), Department of Statistics, University of Rajshahi, Rajshahi, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC) is a complex disease, which causes of high mortality rate in women. Early diagnosis and therapeutic improvements may reduce the mortality rate. There were more than 74 individual studies that have suggested BC-causing hub-genes (HubGs) in the literature. However, we observed that their HubG sets are not so consistent with each other. It may be happened due to the regional and environmental variations with the sample units. Therefore, it was required to explore hub of the HubG (hHubG) sets that might be more representative for early diagnosis and therapies of BC in different country regions and their environments. In this study, we selected top-ranked 10 HubGs (

Indexed as

Breast cancerdrug repurposingearly diagnosis and prognosishub of the hub-genes (hHubGs)molecular dockingregulatory factors

Identifiers

PMID39239087
PMCPMC11375675

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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.