Evidence map›Paper›PMID 42154738›Full record

ArticlePloS one2026

Multiplex profiling of 16 immune checkpoints identifies novel serum biomarker panels for breast cancer detection and TNBC stratification: A case-control study.

Mouna Stayoussef, Azza Habel, Weili Xu, Mariem Bessaad, Hanen Bouaziz, Mouna Ayadi, Wassim Y Almawi, Anis Larbi, Besma Yacoubi-Loueslati

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

9 authors.

Mouna StayoussefUniversity of Tunis El Manar (UTM), Faculty of Sciences of Tunis (FST), Laboratory of Mycology, Pathologies and Biomarkers (LR16ES05), Tunis, Tunisia.
Azza HabelUniversity of Tunis El Manar (UTM), Faculty of Sciences of Tunis (FST), Laboratory of Mycology, Pathologies and Biomarkers (LR16ES05), Tunis, Tunisia.
Weili XuSingapore Immunology Network (SIgN), Agency for Science Technology and Research (A* STAR), Immunos Building, Singapore, Singapore.
Mariem BessaadUniversity of Tunis El Manar (UTM), Faculty of Sciences of Tunis (FST), Laboratory of Mycology, Pathologies and Biomarkers (LR16ES05), Tunis, Tunisia.
Hanen BouazizSalah Azaiez Oncology Institute, Bab Saadoun, Tunis, Tunisia.
Mouna AyadiSalah Azaiez Oncology Institute, Bab Saadoun, Tunis, Tunisia.ORCID https://orcid.org/0000-0002-8649-9054
Wassim Y AlmawiUniversity of Tunis El Manar (UTM), Faculty of Sciences of Tunis (FST), Laboratory of Mycology, Pathologies and Biomarkers (LR16ES05), Tunis, Tunisia.ORCID https://orcid.org/0000-0003-1633-9757
Anis LarbiSingapore Immunology Network (SIgN), Agency for Science Technology and Research (A* STAR), Immunos Building, Singapore, Singapore.
Besma Yacoubi-LoueslatiUniversity of Tunis El Manar (UTM), Faculty of Sciences of Tunis (FST), Laboratory of Mycology, Pathologies and Biomarkers (LR16ES05), Tunis, Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmune checkpoints (ICs) are key regulators of anti-tumor immunity, yet their diagnostic potential as blood-based biomarkers in breast cancer (BC) remains insufficiently characterized. Comprehensive serum profiling using multiplex immunoassays may enable minimally invasive detection and molecular stratification, particularly for triple-negative breast cancer (TNBC).

methodsSerum samples from 88 treatment-naïve BC patients and 49 age-matched controls were analyzed using a 16-analyte MILLIPLEX® immuno-oncology panel. Six co-inhibitory and ten co-stimulatory IC proteins were quantified. Diagnostic accuracy was assessed using ROC curves and logistic regression. Associations with TNBC subtype, chemotherapy response, and 6-month progression-free survival (PFS) were evaluated.

resultsSeven immune checkpoint proteins (LAG-3, BTLA, CD80, GITRL, CTLA-4, GITR, TLR-2) showed significant differential expression between BC patients and controls. A seven-protein panel demonstrated high diagnostic accuracy (AUC = 0.89; sensitivity 83%; specificity 86%), surpassing CA15-3 and CEA. TNBC patients exhibited a distinct eight-protein signature, with TIM-3, CTLA-4, and CD28 independently associated with TNBC classification. Elevated baseline TIM-3 and PD-L1 were associated with chemotherapy resistance and shorter PFS.

conclusionsComprehensive serum IC profiling identified biomarkers with strong diagnostic and subtype-discriminatory potential. These minimally invasive panels show potential for BC detection and TNBC stratification, pending validation in prospective and longitudinal studies. Validation in larger, multi-center cohorts is warranted.

Indexed as

Biomarkers, TumorImmune Checkpoint ProteinsTriple Negative Breast NeoplasmsAdultAgedCase-Control StudiesFemaleHumansMiddle AgedROC CurveBiomarkers, TumorImmune Checkpoint Proteins

Identifiers

PMID42154738
PMCPMC13186330

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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.