Evidence map›Paper›PMID 40445912›Full record

ArticlePloS one2025

Integrated pan-cancer analysis revealed therapeutic targets in the ABC transporter protein family.

Madahiah Bint E Masood, Iqra Shafique, Muhammad Inam Rafique, Ayesha Iman, Ariba Abbasi, Mehak Rafiq, Uzma Habib

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Madahiah Bint E MasoodSchool of Interdisciplinary Engineering & Sciences (SINES), National University of Sciences & Technology, Islamabad, Pakistan.ORCID 0009-0004-5091-6524
Iqra ShafiqueDepartment of Biomedical Engineering and Sciences, School of Mechanical & Manufacturing Engineering, National University of Sciences & Technology, Islamabad, Pakistan.
Muhammad Inam RafiqueSchool of Interdisciplinary Engineering & Sciences (SINES), National University of Sciences & Technology, Islamabad, Pakistan.ORCID 0009-0009-5825-1201
Ayesha ImanSchool of Interdisciplinary Engineering & Sciences (SINES), National University of Sciences & Technology, Islamabad, Pakistan.
Ariba AbbasiSchool of Interdisciplinary Engineering & Sciences (SINES), National University of Sciences & Technology, Islamabad, Pakistan.
Mehak RafiqSchool of Interdisciplinary Engineering & Sciences (SINES), National University of Sciences & Technology, Islamabad, Pakistan.ORCID 0000-0003-1084-6782
Uzma HabibSchool of Interdisciplinary Engineering & Sciences (SINES), National University of Sciences & Technology, Islamabad, Pakistan.ORCID 0000-0001-6592-6419

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation sequencing technology enables uniform and impartial assessment of cancer diagnoses and prognosis. However, such studies are mostly type-specific, and capturing shared genomic abnormalities responsible for neoplastic transformation and progression is a challenging task. Pan-cancer analysis offers insights into the shared and unique molecular mechanisms driving cancer. We conducted an integrated gene-expression analysis using 10,629 samples from 30 distinct cancer types characterized by The Cancer Genome Atlas (TCGA). A gene co-expression network was constructed and genes overlapping between the selected modules and Differentially Expressed Genes (DEGs) were designated as genes of interest. Following a comprehensive literature review, ATP binding cassette subfamily A member 10 (ABCA10) and ATP binding cassette subfamily B member 5 (ABCB5) were selected as key candidates for downstream analysis due to the absence of systematic pan-cancer analysis of these genes. This study presents a unique contribution as the first comprehensive pan-cancer analysis of ABCA10 and ABCB5, highlighting their roles in tumor biology and clinical outcomes. We employed a variety of bioinformatics tools to explore the role of these genes across different tumors. Our research demonstrated that ABCA10 shows reduced expression, while ABCB5 displays variable expression patterns across tumors, indicating their opposing roles and flexible functions in pan-cancer. In many cancer patients, these expression patterns are correlated with worse survival outcomes. Furthermore, immunotherapy responses and immune infiltration across a variety of tumor types are associated with the expression levels of both ABCA10 and ABCB5. These results imply that ABCA10 and ABCB5 could serve as valuable predictive markers and potential therapeutic targets across various cancers.

Indexed as

ATP-Binding Cassette TransportersATP Binding Cassette Transporter, Subfamily BNeoplasmsComputational BiologyGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansPrognosisATP-Binding Cassette TransportersATP Binding Cassette Transporter, Subfamily B

Identifiers

PMID40445912
PMCPMC12124511

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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.