# Transcriptomic Profiling of Paired Primary Tumors and CNS Metastases in Breast Cancer Reveals Immune Modulation Signatures

**Authors:** Ana Julia Aguiar de Freitas, Muriele Bertagna Varuzza, Stéphanie Calfa, Rhafaela Lima Causin, Vinicius Duval da Silva, Cristiano de Pádua Souza, Márcia Maria Chiquitelli Marques

PMC · DOI: 10.3390/ijms26146944 · International Journal of Molecular Sciences · 2025-07-19

## TL;DR

This study compares gene activity in primary breast tumors and their brain metastases, finding immune-related changes that could help predict outcomes and guide treatment.

## Contribution

The study identifies immune-related gene expression differences between primary breast tumors and CNS metastases, revealing novel biomarkers for prognosis and therapy.

## Key findings

- Forty-five genes were significantly differentially expressed between primary tumors and CNS metastases.
- Immune-related genes like CXCL9 and CD79A were downregulated in CNS metastases and linked to better survival.
- High IL7R and CTSW expression correlated with worse patient outcomes, indicating immune suppression in metastases.

## Abstract

Breast cancer is a leading cause of central nervous system (CNS) metastases in women, often associated with poor prognosis and limited therapeutic options. However, molecular differences between primary tumors and CNS metastases remain underexplored. We aimed to characterize transcriptomic differences between primary breast tumors and matched CNS metastases and identify immune-related biomarkers associated with metastatic progression and patient outcomes. Transcriptomic profiling was based on 11 matched FFPE sample pairs (primary tumor and CNS metastasis). Paired formalin-fixed paraffin-embedded (FFPE) samples from primary tumors (T1) and CNS metastases (T2) were analyzed using the NanoString nCounter® platform and the PanCancer IO 360™ Gene Expression Panel. Differential gene expression, Z-score transformation, and heatmap visualization were performed in R. In silico survival analyses for overall survival (OS) and recurrence-free survival (RFS) were conducted using publicly available TCGA and GEO datasets. Forty-five genes were significantly differentially expressed between the T1 and T2 samples. Immune-related genes such as CXCL9, IL7R, CD79A, and CTSW showed consistent downregulation in CNS metastases. High expression of CXCL9 and CD79A was associated with improved OS and RFS, whereas high IL7R and CTSW expression correlated with worse outcomes. These findings indicate immune suppression as a hallmark of CNS colonization. Comparative transcriptomic analysis further underscored the distinct molecular landscapes between primary and metastatic tumors. This study highlights transcriptional signatures associated with breast cancer CNS metastases, emphasizing the role of immune modulation in metastatic progression. The identified genes have potential as prognostic biomarkers and therapeutic targets, supporting the need for site-specific molecular profiling in metastatic breast cancer management.

## Linked entities

- **Genes:** CXCL9 (C-X-C motif chemokine ligand 9) [NCBI Gene 4283], IL7R (interleukin 7 receptor) [NCBI Gene 3575], CD79A (CD79a molecule) [NCBI Gene 973], CTSW (cathepsin W) [NCBI Gene 1521]
- **Diseases:** breast cancer (MONDO:0004989)

## Full-text entities

- **Genes:** CD79A (CD79a molecule) [NCBI Gene 973] {aka IGA, IGAlpha, MB-1, MB1}, IL7R (interleukin 7 receptor) [NCBI Gene 3575] {aka CD127, CDW127, IL-7R-alpha, IL-7Ralpha, IL7RA, IL7Ralpha}, CTSW (cathepsin W) [NCBI Gene 1521] {aka LYPN}, CXCL9 (C-X-C motif chemokine ligand 9) [NCBI Gene 4283] {aka CMK, Humig, MIG, SCYB9, crg-10}
- **Diseases:** Metastases (MESH:D009362), Breast Cancer (MESH:D001943), Tumors (MESH:D009369)
- **Chemicals:** formalin (MESH:D005557), paraffin (MESH:D010232)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12294877/full.md

## References

44 references — full list in the complete paper: https://tomesphere.com/paper/PMC12294877/full.md

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Source: https://tomesphere.com/paper/PMC12294877