Evidence map›Paper›PMID 42244007›Full record

ArticleBreast cancer research : BCR2026

A systemic immune signature stratifies early-stage breast cancer patients and reveals soluble IL-2RA and PD-1 as potential independent prognostic biomarkers.

Yoel G Montoyo-Pujol, Pascual Martínez-Peinado, Sandra Pascual-García, Samanta Ortuño-Miquel, José J Ponce, Inmaculada Lozano-Cubo, Elena Castellón-Molla, Silvia Delgado-García, Tina A Martín-Bayón, Hortensia Ballester and 3 more

Abstract read
In one paragraph

Article in Breast cancer research : BCR, 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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0citing papers 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

13 authors.

Yoel G Montoyo-PujolResearch Unit, Dr Balmis University General Hospital, and Alicante Institute for Health and Biomedical Research (ISABIAL), Pintor Baeza 12, 03010, Alicante, Spain. montoyo_yoe@isabial.es.ORCID http://orcid.org/0000-0003-3169-0924
Pascual Martínez-PeinadoImmunology Division, Biotechnology Department, University of Alicante, Ctra San Vicente S/N. 03080-San Vicente del Raspeig, 03010, Alicante, Spain.ORCID http://orcid.org/0000-0003-4370-5468
Sandra Pascual-GarcíaImmunology Division, Biotechnology Department, University of Alicante, Ctra San Vicente S/N. 03080-San Vicente del Raspeig, 03010, Alicante, Spain.ORCID http://orcid.org/0000-0002-0536-1185
Samanta Ortuño-MiquelBioinformatics Unit, Dr. Balmis University General Hospital, and Alicante Institute for Health and Biomedical Research (ISABIAL), Pintor Baeza 12, 03010, Alicante, Spain.ORCID http://orcid.org/0000-0003-0731-6975
José J PonceMedical Oncology Department, Dr. Balmis University General Hospital, and Alicante Institute for Health and Biomedical Research (ISABIAL), Pintor Baeza 12, 03010, Alicante, Spain.ORCID http://orcid.org/0000-0002-0491-901X
Inmaculada Lozano-CuboMedical Oncology Department, Dr. Balmis University General Hospital, and Alicante Institute for Health and Biomedical Research (ISABIAL), Pintor Baeza 12, 03010, Alicante, Spain.
Elena Castellón-MollaPathology Department, Dr. Balmis University General Hospital, and Alicante Institute for Health and Biomedical Research (ISABIAL), Pintor Baeza 12, 03010, Alicante, Spain.ORCID http://orcid.org/0000-0001-6800-118X
Silvia Delgado-GarcíaGynecology and Obstetrics Department, Dr. Balmis University General Hospital, and Alicante Institute for Health and Biomedical Research (ISABIAL), Pintor Baeza 12, 03010, Alicante, Spain.ORCID http://orcid.org/0000-0002-2183-1343
Tina A Martín-BayónGynecology and Obstetrics Department, Dr. Balmis University General Hospital, and Alicante Institute for Health and Biomedical Research (ISABIAL), Pintor Baeza 12, 03010, Alicante, Spain.ORCID http://orcid.org/0000-0002-3676-127X
Hortensia BallesterGynecology and Obstetrics Department, Dr. Balmis University General Hospital, and Alicante Institute for Health and Biomedical Research (ISABIAL), Pintor Baeza 12, 03010, Alicante, Spain.ORCID http://orcid.org/0000-0001-8117-2725
Angela Ramos-MontoyaGynecology and Obstetrics Department, Dr. Balmis University General Hospital, and Alicante Institute for Health and Biomedical Research (ISABIAL), Pintor Baeza 12, 03010, Alicante, Spain.ORCID http://orcid.org/0000-0001-9247-3427
José Miguel Sempere-OrtellsResearch Unit, Dr Balmis University General Hospital, and Alicante Institute for Health and Biomedical Research (ISABIAL), Pintor Baeza 12, 03010, Alicante, Spain.ORCID http://orcid.org/0000-0001-5439-0604
Gloria Peiró-CabreraResearch Unit, Dr Balmis University General Hospital, and Alicante Institute for Health and Biomedical Research (ISABIAL), Pintor Baeza 12, 03010, Alicante, Spain.ORCID http://orcid.org/0000-0002-2899-2908

Funding

SEAP- Semilla "Antonio Llombart Bosch" for Translational Research in Pathology 2021-0297
6 · The paper itself

Abstract

backgroundBreast cancer (BC) is the most common cancer in women and the leading cause of cancer-related death worldwide. Systemic immune dysregulation is increasingly recognized as a critical component of BC pathophysiology. Therefore, the characterization of inflammatory mediators in this neoplasia has emerged as a focus of increasing research.

methodsIn this study, we performed a multiplex analysis of 62 circulating immune-related molecules in serum samples from 229 BC patients prior to any treatment and 50 healthy controls. Serum samples were analyzed using the LEGENDplex™ protocol and measured by a spectral flow cytometer.

resultsAmong the 62 circulating immune-related molecules initially analyzed, we identified a distinct serum signature comprising 27 soluble factors that significantly discriminated BC patients from healthy controls. The integration of these biomarkers into supervised machine learning models revealed that the Light Gradient Boosting Machine (LightGBM) algorithm achieved optimal diagnostic performance (AUC = 0.91; accuracy = 96.4%), with TSLP, IL-8, and IL-1β emerging as key predictive features. By integrating clinicopathological data, we identified significant associations between immune factor levels and tumor characteristics, including proliferation, lymph-node involvement, and histological grade. Stratification by molecular subtype also revealed distinct immunologic patterns. Significantly, elevated levels of IL-2RA and PD-1 were identified as promising candidates to predict shorter overall and disease-free survival, respectively.

conclusionThese findings provide novel insights into the systemic immune landscape of early-stage BC and support the use of circulating immune mediators as minimally invasive biomarkers for diagnosis and prognosis. However, external validation is needed to confirm the robustness and generalizability of these findings.

Indexed as

Biomarkers, TumorBreast NeoplasmsInterleukin-2 Receptor alpha SubunitProgrammed Cell Death 1 ReceptorAdultAgedCase-Control StudiesFemaleHumansMiddle AgedNeoplasm StagingPrognosisBiomarkers, TumorIL2RA protein, humanInterleukin-2 Receptor alpha SubunitPDCD1 protein, humanProgrammed Cell Death 1 ReceptorBreast cancerImmune-related biomarkersImmune systemMachine learningPrognostic value

Identifiers

PMID42244007
PMCPMC13455350

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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.