Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

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

International journal of molecular sciences - 7 Feb 2026

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

Abstract excerpt

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...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Antigens, Differentiation, T-Lymphocyte
Share to Breast Neoplasms

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Cytokines

Share to Killer Cells, Natural

Share to Neoadjuvant Therapy

Share to NK Cell Lectin-Like Receptor Subfamily K

Share to Programmed Cell Death 1 Receptor

Share to Receptors, Immunologic

Source

Open in PubMed Open full text

Identifiers

PMID: 41751774
DOI: 10.3390/ijms27041634
PMCID: PMC12940497

Genes

TIGIT
TNF

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Natural Killer Cell Phenotype and Function as a Predictive Factor for Treatment Response to Neoadjuvant Therapy in Breast Cancer Patients.PMID 41751774Read ↗

Phenotypes and cytokines of NK cells in triple-negative breast cancer resistant to checkpoint blockade immunotherapySemantic proximity Read ↗

Natural killer cell subsets and their functional molecules in peripheral blood of the patients with breast cancerSemantic proximity Read ↗

Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in precision medicineSemantic proximity Read ↗

Identification of immune-related biomarkers for predicting neoadjuvant chemotherapy sensitivity in HER2 negative breast cancer via bioinformatics analysisSemantic proximity Read ↗

Single-cell transcriptomic profiling of immune landscape in triple-negative breast cancer during neoadjuvant chemotherapySemantic proximity Read ↗

NK cell-triggered CCL5/IFNγ-CXCL9/10 axis underlies the clinical efficacy of neoadjuvant anti-HER2 antibodies in breast cancer.Semantic proximity Read ↗

Ovarian cancer-associated ascites accumulates NK lymphocytes with transcriptomic profile consistent with the immature/secretory CD56bright subtype.Semantic proximity Read ↗

NK Cell Education in Tumor Immune Surveillance: DNAM-1/KIR Receptor Ratios as Predictive Biomarkers for Solid Tumor OutcomeSemantic proximity Read ↗

Unraveling the breast cancer tumor microenvironment: crucial factors influencing natural killer cell function and therapeutic strategiesSemantic proximity Read ↗

A new highly-specific Natural Killer cell-specific gene signature predicting recurrence in colorectal cancer patientsSemantic proximity Read ↗

Tumor-infiltrating NK cell subsets associated with the magnitude of T cell response in human lung cancerSemantic proximity Read ↗

Determination of HLA-DR level in cytotoxic T lymphocytes: a new validated tool to predict breast cancer response to treatmentSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.