Evidence map›Paper›PMID 38338684›Full record

ArticleInternational journal of molecular sciences2024

Prognostic Markers in Tyrosine Kinases Specific to Basal-like 2 Subtype of Triple-Negative Breast Cancer.

Praopim Limsakul, Pongsakorn Choochuen, Thawirasm Jungrungrueang, Krit Charupanit

Open access · goldAbstract 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
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  4. Article
  5. Article
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.

Praopim LimsakulDivision of Physical Science, Faculty of Science, Prince of Songkla University, Songkhla 90110, Thailand.ORCID 0000-0001-7389-4533
Pongsakorn ChoochuenDepartment of Biomedical Sciences and Biomedical Engineering, Faculty of Medicine, Prince of Songkla University, Songkhla 90110, Thailand.
Thawirasm JungrungrueangDepartment of Biomedical Sciences and Biomedical Engineering, Faculty of Medicine, Prince of Songkla University, Songkhla 90110, Thailand.ORCID 0009-0005-8955-445X
Krit CharupanitDepartment of Biomedical Sciences and Biomedical Engineering, Faculty of Medicine, Prince of Songkla University, Songkhla 90110, Thailand.ORCID 0000-0002-9803-2005
Prince of Songkla University · TH

Funding

Prince of Songkla University SCI6505059S
6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC), a heterogeneous and therapeutically challenging subtype, comprises over 50% of patients categorized into basal-like 1 (BL1) and basal-like 2 (BL2) intrinsic molecular subtypes. Despite their shared basal-like classification, BL2 is associated with a poor response to neoadjuvant chemotherapy and reduced relapse-free survival compared to BL1. Here, the study focused on identifying subtype-specific markers for BL2 through transcriptomic analysis of TNBC patients using RNA-seq and clinical integration. Six receptor tyrosine kinase (TK) genes, including

Indexed as

Triple Negative Breast NeoplasmsErbB ReceptorsHumansNeoplasm Recurrence, LocalPrognosisProtein-Tyrosine KinasesReceptor, Platelet-Derived Growth Factor betaReceptor Protein-Tyrosine KinasesTyrosineErbB ReceptorsProtein-Tyrosine KinasesReceptor, Platelet-Derived Growth Factor betaReceptor Protein-Tyrosine KinasesTyrosinebasal-like subtypebiomarkerprognostic markerstranscriptomic analysistriple-negative breast cancertyrosine kinase

Identifiers

PMID38338684
PMCPMC10855431
OpenAlexW4391170382

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.