Evidence map›Paper›PMID 35326596›Full record

ArticleCancers2022

In Silico Analysis of Ion Channels and Their Correlation with Epithelial to Mesenchymal Transition in Breast Cancer.

K T Shreya Parthasarathi, Susmita Mandal, Smrita Singh, Seetaramanjaneyulu Gundimeda, Mohit Kumar Jolly, Akhilesh Pandey, Jyoti Sharma

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
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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

7 authors at 4 institutions in 2 countries.

K T Shreya ParthasarathiInstitute of Bioinformatics, International Technology Park, Bangalore 560066, India.
Susmita MandalCenter for BioSystems Science and Engineering, Indian Institute of Science, Bangalore 560012, India.
Smrita SinghInstitute of Bioinformatics, International Technology Park, Bangalore 560066, India.ORCID 0000-0002-0394-3069
Seetaramanjaneyulu GundimedaInstitute of Bioinformatics, International Technology Park, Bangalore 560066, India.
Mohit Kumar JollyCenter for BioSystems Science and Engineering, Indian Institute of Science, Bangalore 560012, India.ORCID 0000-0002-6631-2109
Akhilesh PandeyDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0001-9943-6127
Jyoti SharmaInstitute of Bioinformatics, International Technology Park, Bangalore 560066, India.ORCID 0000-0003-3299-9907
Indian Institute of Science Bangalore · INManipal Academy of Higher Education · INMayo Clinic · USInstitute of Bioinformatics · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uncontrolled growth of breast cells due to altered gene expression is a key feature of breast cancer. Alterations in the expression of ion channels lead to variations in cellular activities, thus contributing to attributes of cancer hallmarks. Changes in the expression levels of ion channels were observed as a consequence of EMT. Additionally, ion channels were reported in the activation of EMT and maintenance of a mesenchymal phenotype. Here, to identify altered ion channels in breast cancer patients, differential gene expression and weighted gene co-expression network analyses were performed using transcriptomic data. Protein-protein interactions network analysis was carried out to determine the ion channels interacting with hub EMT-related genes in breast cancer. Thirty-two ion channels were found interacting with twenty-six hub EMT-related genes. The identified ion channels were further correlated with EMT scores, indicating mesenchymal phenotype. Further, the pathway map was generated to represent a snapshot of deregulated cellular processes by altered ion channels and EMT-related genes. Kaplan-Meier five-year survival analysis and Cox regressions indicated the expression of

Indexed as

bioinformaticsinteraction networksmembrane proteinsmicroarrayprognosisRNA-Seq

Identifiers

PMID35326596
PMCPMC8946083
OpenAlexW4220728308

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.