Intratumoral heterogeneity has emerged as a problem to be resolved for precise diagnosis and effective treatment of cancer. Breast cancer is one of the most heterogeneous cancer in its molecular subtypes and its intratumoral genomic diversity has been demonstrated as well. Single-cell sequencing approach would reveal heterogeneity in gene expression signatures and the common gene expression characteristics across tumor cells within a tumor. In this study, we isolated live individual cells and amplified cDNAs using C1™Single-cell Auto Prep System (Fluidigm) then performed RNA sequencing using HiSeq2500 System (Illumina). Single-cell transcriptomes were acquired from four primary tumor (ER+/HER2-, ER-/HER2+, ER+/HER2+ and triple negative breast cancer) and two matched lymph node metastases (ER+/HER2+ and triple negative breast cancer). Because the tumor tissue isolates may include stromal and immune cells in the tumor microenvironment, we defined ‘epithelial cell adhesion molecule signature’ to filter out non-tumor populations (Poster# presented by Woosung Chung et. al) After the removal of non-tumor cells, collected tumor single-cell transcriptomes largely recapitulated bulk tumor-expression profiles. The ER+/HER2- tumor cells showed highly activated estrogen receptor-associated pathways. Although both ER-/HER2+ and ER+/HER2+ tumors had the HER2 gene amplification and overexpression, HER2/HER3 pathway is activated only in ER-/HER2+ tumor cells. The association of gene expression for cancer stem cells and chemoresistance, such as IL8 and CXCL1, with HER2/HER3 signaling pathway activation was prominent. By contrast, the ER+/HER2+ tumor cells had highly activated estrogen receptor signaling, presenting them as the luminal type. The triple negative breast cancer cells highly expressed adhesion molecules and proteases suggesting their invasive nature, yet demonstrated extensive gene expression heterogeneity. Collectively these data revealed the power of single cell gene expression profiling in the precise characterization of tumor cell properties. The explicit gene expression signatures for patient specific tumors may be defined as subtype-specific signatures and helpful to unmask targets for molecular directed therapies.
Citation Format: Hye Hyeon Eum, Hae-Ock Lee, Woosung Chung, Kyu-Tae Kim, Kyung-Min Lee, Arum Jo, WonShik Han, Woong-Yang Park. Single-cell RNA sequencing presents explicit expression signatures in primary breast cancer. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 161.