1. MOESM2 of Immune gene expression profiling reveals heterogeneity in luminal breast tumors
- Author
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Zhu, Bin, Tse, Lap, Difei Wang, Koka, Hela, Tongwu Zhang, Abubakar, Mustapha, Lee, Priscilla, Wang, Feng, Wu, Cherry, Koon Tsang, Wing-Cheong Chan, Sze Law, Mengjie Li, Wentao Li, Suyang Wu, Zhiguang Liu, Bixia Huang, Zhang, Han, Tang, Eric, Zhengyan Kan, Soohyeon Lee, Park, Yeon, Nam, Seok, Mingyi Wang, Xuezheng Sun, Jones, Kristine, Hutchinson, Amy, Belynda Hicks, Prokunina-Olsson, Ludmila, Jianxin Shi, Garcia-Closas, Montserrat, Chanock, Stephen, and Xiaohong Yang
- Subjects
skin and connective tissue diseases ,3. Good health - Abstract
Additional file 2: Table S1. The distribution of clinical characteristics and key breast cancer risk factors in the Hong Kong breast cancer study (HKBC). Table S2. 130 immune-related genes used for the classification of luminal tumors. Table S3. The three luminal immune subtypes in relation to the luminal A/B classification in the Hong Kong breast cancer study (HKBC). Table S4. P values for comparisons of tumor MCP-counter abundance scores by immune subtype in the Hong Kong breast cancer study (HKBC). Table S5. P values for comparisons of tumor CIBERSORT fraction scores by immune subtype in the Hong Kong breast cancer study (HKBC). Table S6. The distribution of clinical characteristics and key breast cancer risk factors by luminal immune subtypes in the Hong Kong breast cancer study (HKBC). Table S7. P values for comparisons of the MCP-counter abundance scores between paired tumor and normal tissue (N = 80) by immune subtype in the Hong Kong breast cancer study (HKBC).