Evidence map›Paper›PMID 38791477›Full record

ArticleInternational journal of molecular sciences2024

Identification of Genes Crucial for Biological Processes in Breast Cancer Liver Metastasis Relapse.

Tyler Kwok, Suneetha Yeguvapalli, Kumaraswamy Naidu Chitrala

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

3 authors.

Tyler KwokDepartment of Engineering Technology, University of Houston, Sugar Land, TX 77479, USA.
Suneetha YeguvapalliDepartment of Engineering Technology, University of Houston, Sugar Land, TX 77479, USA.
Kumaraswamy Naidu ChitralaDepartment of Engineering Technology, University of Houston, Sugar Land, TX 77479, USA.

Funding

Testing a Digital Therapeutic for Smoking Cessation among Hispanic Persons who SmokeU54MD015946 · NIMHD · UNIVERSITY OF HOUSTON · PI Bettina M. Beech · 2020 to 2026
$22.0M
NIMHD NIH HHS U54MD015946
6 · The paper itself

Abstract

Breast cancer, when advancing to a metastatic stage, involves the liver, impacting over 50% of cases and significantly diminishing survival rates. Presently, a lack of tailored therapeutic protocols for breast cancer liver metastasis (BCLM) underscores the need for a deeper understanding of molecular patterns governing this complication. Therefore, by analyzing differentially expressed genes (DEGs) between primary breast tumors and BCLM lesions, we aimed to shed light on the diversities of this process. This research investigated breast cancer liver metastasis relapse by employing a comprehensive approach that integrated data filtering, gene ontology and KEGG pathway analysis, overall survival analysis, identification of the alteration in the DEGs, visualization of the protein-protein interaction network, Signor 2.0, identification of positively correlated genes, immune cell infiltration analysis, genetic alternation analysis, copy number variant analysis, gene-to-mRNA interaction, transcription factor analysis, molecular docking, and identification of potential treatment targets. This study's integrative approach unveiled metabolic reprogramming, suggesting altered

Indexed as

Breast NeoplasmsGene Expression Regulation, NeoplasticLiver NeoplasmsNeoplasm Recurrence, LocalProtein Interaction MapsBiomarkers, TumorComputational BiologyFemaleGene Expression ProfilingGene OntologyGene Regulatory NetworksHumansMolecular Docking SimulationTranscriptomeBiomarkers, Tumorbioinformatic analysisbreast cancer liver metastasisbreast cancer recurrence

Identifiers

PMID38791477
PMCPMC11122209

What OpenQuestion holds

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LicenceCC BY
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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.