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August 18, 2025Frontiers in OncologyOpen Access

Spatial gene expression profiling identifies prognostic features of residual tumors after neoadjuvant chemotherapy in triple-negative breast cancer

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Authors

HWHye Sung WonYKYong-Seok KimKSKyung Jin Seo

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Overview

Spatial transcriptomic analysis reveals gene expression changes in residual tumors of triple-negative breast cancer, indicating potential prognosis factors for recurrence.

Key Points

  • Residual tumors after neoadjuvant chemotherapy show significant gene expression differences related to prognosis, and distinct patterns emerge based on recurrence status.
  • In patients with recurrence, eight genes were significantly upregulated while 17 were downregulated, highlighting potential targets for further study.
  • Spatial transcriptomic profiling using the NanoString GeoMx platform assessed residual tumor tissues and identified key gene changes linked to tumor behavior.
  • Insights about differentially expressed genes may enhance understanding of oncogenic signaling and immune response in triple-negative breast cancer post-treatment.

Cite This Study

Won et al. (2025) studied this question.

synapsesocial.com/papers/68af31ddcf1dd9ea359e7908https://doi.org/10.3389/fonc.2025.1638758
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Also Consider

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  1. 1Spatial analysis of tumor immune microenvironment of TNBC with different neoadjuvant chemotherapy outcomes using multiplex Immunofluorescence2025
  2. 2The Prediction Model for Triple-Negative Breast Cancer Prognosis and Immunotherapy Efficacy Based on Single-Cell Sequencing of CD8+ T cells2025
  3. 3Identification of tumor associated neutrophils-related genes in triple-negative breast cancer for predicting prognosis and therapeutic response through integrated single-cell analysis2025
  4. 4Spatial-Immune Multi-omics Refines Prognostication in Early-Stage Estrogen Receptor-Positive Breast Cancer2025
  5. 5Spatial transcriptomics exploration of the primary neuroblastoma microenvironment in archived FFPE samples unveils novel paracrine interactions.2025