Evidence map›Paper›PMID 41366282›Full record

ArticleMolecular medicine (Cambridge, Mass.)2025

Identification of predictive pretreatment biomarkers for neoadjuvant chemotherapy response in Latino invasive breast cancer patients.

Hedda Michelle Guevara-Nieto, Rafael Parra-Medina, Carlos A Orozco, Sandra Diaz-Casas, Jone Garai, Jovanny Zabaleta, Liliana López-Kleine, Alba L Combita

Abstract read
In one paragraph

Article in Molecular medicine (Cambridge, Mass.), 2025. 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

8 authors.

Hedda Michelle Guevara-NietoGrupo de Investigación en Biología del Cáncer, Instituto Nacional de Cancerología (INC), Bogotá, 111511, Colombia. hguevara@unal.edu.co.
Rafael Parra-MedinaDepartmento de Patología, Instituto Nacional de Cancerología (INC), Bogotá, Colombia.
Carlos A OrozcoGrupo de Investigación en Biología del Cáncer, Instituto Nacional de Cancerología (INC), Bogotá, 111511, Colombia.
Sandra Diaz-CasasGrupo de Seno y Tejidos Blandos, Instituto Nacional de Cancerología (INC), Bogotá, 111511, Colombia.
Jone GaraiStanley S. Scott Cancer Center, Louisiana State University Health Science Center (LSUHSC), New Orleans, LA, 70112, USA.
Jovanny ZabaletaDepartment of Interdisciplinary Oncology, Louisiana State University Health Science Center (LSUHSC), New Orleans, LA, 70112, USA.
Liliana López-KleineDepartmento de Estadística, Facultad de Ciencias, Universidad Nacional de Colombia, Bogotá, 111321, Colombia.
Alba L CombitaGrupo de Investigación en Biología del Cáncer, Instituto Nacional de Cancerología (INC), Bogotá, 111511, Colombia. acombita@cancer.gov.co.

Funding

Translational Genomics Core (TGC)P20GM121288 · NIGMS · LSU HEALTH SCIENCES CENTER · PI Arunava Roy · 2017 to 2026
$22.4M
Instituto Nacional de Cancerología C19010300-403NIGMS NIH HHS P20 GM121288NIH HHS P20GM121288-06
6 · The paper itself

Abstract

backgroundBreast cancer (BC) exhibits significant heterogeneity in incidence and mortality worldwide. Neoadjuvant chemotherapy (NAC) is the standard treatment for locally advanced BC; however, its efficacy varies by subtype. This study examined the gene expression profiles associated with NAC response in Colombian women with invasive BC.

methodsRNA sequencing of pre-treatment tissues from 58 patients (29 responders and 29 non-responders) identified differentially expressed genes (DEGs) for each molecular subtype, and prognostic performance was evaluated using risk scores.

resultsFunctional enrichment analysis highlighted the immune system pathways in non-responders. Changes in cytokine target activity and immune cell populations were analyzed to understand the role of the tumor microenvironment (TME) in response to treatment. APOD, GPR132, FGF10, and HBB emerged as independent predictors of NAC response, with APOD showing a protective effect in LuminalB/HER2- patients. These results were corroborated by immunohistochemistry and public databases. Drug sensitivity analysis revealed varied responses to potential therapeutics among the non-responders.

conclusionsThis study underscores the need to identify specific gene expression profiles and immune cell population changes to predict NAC responses, paving the way for personalized and effective treatments for the Colombian BC population.

Indexed as

Biomarkers, TumorBreast NeoplasmsAdultColombiaFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHispanic or LatinoHumansMiddle AgedNeoadjuvant TherapyPrognosisTranscriptomeTreatment OutcomeTumor MicroenvironmentBiomarkers, TumorGene expression profilesInvasive breast cancerMolecular subtypesNeoadjuvant chemotherapyPathological complete responsePredictive biomarkersTumor microenvironment

Identifiers

PMID41366282
PMCPMC12690809

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Registered trials

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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.