Evidence map›Paper›PMID 41751774›Full record

ArticleInternational journal of molecular sciences2026

Natural Killer Cell Phenotype and Function as a Predictive Factor for Treatment Response to Neoadjuvant Therapy in Breast Cancer Patients.

Cinthya Yareli Anguiano Serrato, Fabiola Solorzano-Ibarra, Ignacio Mariscal-Ramirez, Maria Iyali Torres-Bustamante, Sylvia Elena Totsuka-Sutto, Jorge Raúl Vázquez-Urrutia, Aldo Alcaraz-Wong, Betsabé Contreras-Haro, Pablo Cesar Ortiz-Lazareno

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2026. 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

9 authors.

Cinthya Yareli Anguiano SerratoHospital General Regional N°2 El Marqués, Instituto Mexicano del Seguro Social, Querétaro 76246, Querétaro, Mexico.
Fabiola Solorzano-IbarraDepartamento de Biología Molecular y Genómica, Instituto de Investigación en Enfermedades Crónico-Degenerativas, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara, Guadalajara 44340, Jalisco, Mexico.ORCID 0000-0002-4675-2203
Ignacio Mariscal-RamirezUnidad Médica de Alta Especialidad, Departamento de Oncología Médica, Hospital de Especialidades (UMAE, HE), Centro Médico Nacional de Occidente Ignacio García Téllez, IMSS, Guadalajara 44340, Jalisco, Mexico.
Maria Iyali Torres-BustamanteCentro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara, Guadalajara 44340, Jalisco, Mexico.
Sylvia Elena Totsuka-SuttoCentro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara, Guadalajara 44340, Jalisco, Mexico.
Jorge Raúl Vázquez-UrrutiaDepartment of Medicine, The Pennsylvania State University College of Medicine, The Pennsylvania State University, Hershey, PA 17033, USA.
Aldo Alcaraz-WongUnidad Médica de Alta Especialidad, Departamento de Patología, Hospital de Especialidades (UMAE, HE), Centro Médico Nacional de Occidente Ignacio García Téllez, IMSS, Guadalajara 44340, Jalisco, Mexico.
Betsabé Contreras-HaroUnidad de Investigación Biomédica 02, UMAE, HE, Centro Médico Nacional de Occidente Ignacio García Téllez, Instituto Mexicano del Seguro Social, Guadalajara 44340, Jalisco, Mexico.
Pablo Cesar Ortiz-LazarenoDivisión de Inmunología, Centro de Investigación Biomédica de Occidente, Instituto Mexicano del Seguro Social, Guadalajara 44340, Jalisco, Mexico.

Funding

Universidad de Guadalajara PRODEP 2023
6 · The paper itself

Abstract

Neoadjuvant systemic therapy (NST) is standard for locally advanced breast cancer (BC), yet predictors of pathological complete response (pCR) remain elusive. While Natural Killer (NK) cells are vital for anti-tumor response, their specific receptor dynamics during NST are poorly defined. This study provides a high-dimensional characterization of the peripheral NK cell landscape and immune signatures associated with therapeutic success. This prospective cohort study included 34 BC patients and 35 healthy donors (HD). Clinical characteristics were collected, and peripheral blood NK cell subsets were evaluated. We utilized high-parameter flow cytometry and unsupervised clustering (UMAP) to longitudinally track NK cell phenotypes (NKG2D, DNAM-1, PD-1, TIGIT) pre- and post-NST. NK cell cytotoxicity was evaluated, and serum levels of related IL-17A (interleukin), IL-2, IL-4, IL-10, IL-6, TNF-α (tumor necrosis factor-alpha), Fas, sFasL, IFN-γ (interferon-gamma), and Granzyme A were analyzed. Patients exhibited distinct NK cell profiles according to the pathological response. Only 12 BC patients achieved pCR. These patients showed improved NK cell cytotoxicity and higher concentrations of IL-2, TNF-α, sFASL, and Granzyme B after treatment compared with Non-pCR patients. In contrast, in Non-pCR patients, the percentages of CD56

Indexed as

Breast NeoplasmsKiller Cells, NaturalNeoadjuvant TherapyAdultAgedAntigens, Differentiation, T-LymphocyteCytokinesFemaleHumansMiddle AgedNK Cell Lectin-Like Receptor Subfamily KPathologic Complete ResponsePhenotypeProgrammed Cell Death 1 ReceptorProspective StudiesReceptors, ImmunologicAntigens, Differentiation, T-LymphocyteCytokinesKLRK1 protein, humanNK Cell Lectin-Like Receptor Subfamily KPDCD1 protein, humanProgrammed Cell Death 1 ReceptorReceptors, ImmunologicTIGIT protein, humanT Lineage-Specific Activation Antigen 1breast cancercytokinescytotoxicityDNAM-1high-dimensional flow cytometryimmune checkpointsneoadjuvant therapyNK cellsNKG2DNon-pCRpCRPD-1TIGITTIGIT/DNAM-1 axis

Identifiers

PMID41751774
PMCPMC12940497

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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.