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Published on: December 5, 2017
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.
Background/Aim:
Comparing gene expression profiles according to recurrence risk using spatially resolved transcriptomic analysis has not been reported. This study aimed to identify distinct genetic features of breast carcinoma associated with a high Oncotype DX Recurrence Score (ORS).
Patients And Methods:
Patients were categorized into two groups, ORS-high (ORS-H; two patients) and ORS-non-high (ORS-NH; five patients). We performed digital spatial profiling and bioinformatic analyses to investigate the spatial transcriptomic profiles.
Results:
Lysozyme (LYZ), complement C1q C chain (C1QC), and complement C1q B chain (C1QB) exhibited the highest fold changes in the stromal compartment of the ORS-H group. Gene ontology enrichment analysis of the ORS-H group revealed significant up-regulation of genes associated with immune response in the stromal compartment, including lymphocyte-mediated immunity, adaptive immune response related to the immunoglobulin superfamily, and leukocyte-mediated immunity. Gene set enrichment analysis showed significant positive enrichment of gene sets associated with interferon (IFN) response and complement pathways in the stromal compartment.
Conclusion:
This study highlights significant differences in gene expression profiles and spatially resolved transcriptional activities between ORS-H and ORS-NH breast carcinomas. The significant up-regulation of genes and pathways associated with cell-mediated immunity, IFN response, and complement C1q in the stromal compartment of the ORS-H group warrants further evaluation with larger population cohorts.

