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Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...

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Building Up a High-throughput Screening Platform to Assess the Heterogeneity of HER2 Gene Amplification in Breast Cancers
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Identifying High Recurrence Risk in Breast Carcinoma Patients Through Spatial Transcriptomic Analysis.

Jinah Chu1, Sung-Im DO2, Hyun-Soo Kim3

  • 1Department of Pathology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.

Anticancer Research
|September 30, 2024
PubMed
Summary

High Oncotype DX Recurrence Score (ORS) breast cancer shows distinct stromal gene expression, including immune response and interferon pathways. This spatial transcriptomic analysis reveals key differences in high-risk tumors.

Keywords:
BreastOncotype DX Recurrence Scoreinvasive carcinomaspatial transcriptomicstumor recurrence

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Area of Science:

  • Genomics and Molecular Biology
  • Oncology
  • Bioinformatics

Background:

  • Spatially resolved transcriptomic analysis for breast carcinoma recurrence risk remains underexplored.
  • Identifying genetic features associated with high Oncotype DX Recurrence Score (ORS) is crucial for personalized treatment.

Purpose of the Study:

  • To identify distinct genetic features of breast carcinoma associated with a high Oncotype DX Recurrence Score (ORS) using spatial transcriptomics.
  • To compare gene expression profiles between high-risk (ORS-H) and non-high-risk (ORS-NH) breast cancer groups.

Main Methods:

  • Digital spatial profiling and bioinformatic analyses were employed.
  • Patients were stratified into ORS-high (ORS-H) and ORS-non-high (ORS-NH) groups.
  • Spatial transcriptomic profiles were investigated to identify differentially expressed genes and pathways.

Main Results:

  • Lysozyme (LYZ), complement C1q C chain (C1QC), and complement C1q B chain (C1QB) showed the highest fold changes in the stromal compartment of the ORS-H group.
  • Gene ontology analysis revealed significant up-regulation of immune response genes (lymphocyte-mediated, adaptive, and leukocyte-mediated immunity) in the ORS-H stroma.
  • Gene set enrichment analysis identified significant positive enrichment of interferon (IFN) response and complement pathways in the ORS-H stromal compartment.

Conclusions:

  • Significant differences in gene expression and spatial transcriptional activity exist between ORS-H and ORS-NH breast carcinomas.
  • The stromal compartment of ORS-H tumors exhibits significant up-regulation of cell-mediated immunity, IFN response, and complement C1q-related genes.
  • Further validation in larger cohorts is warranted to confirm these findings for high-risk breast cancer stratification.