Inigo Espinosa, Andrew H Beck, Cheng-Han Lee, Shirley Zhu, Kelli Montgomery, Robert J Marinelli, Kirsten N Ganjoo, Torsten O Nielsen, C Blake Gilks, Robert B West and Matt van de Rijn
American Journal of Pathology, doi:10.2353/ajpath.2009.081037
doi:10.2353/ajpath.2009.081037
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Supplemental Figure 1: Unsupervised hierarchical clustering of 59 Soft Tissue Tumors and 459 CSF1 response genes. Both genes and cases were clustered using correlation as a distance metric and average linkage clustering. Within the heatmap, green indicates relatively low expression, red indicates relatively high expression, and grey denotes missing data. The colorbar to the right of the heatmap shows yellow for core CSF1 response genes and blue for non-core CSF1 response genes. The 4 core CSF1 response genes which were analyzed by ISH or IHC on an LMS tissue microarray are indicated on the right-most colorbar in orange. The diagnostic subtype of each case is indicated by its label and font color: LMS (red): leiomyosarcoma with CSF1 response signature, LMS (green): leiomyosarcoma without CSF1 response signature, GIST (blue): gastrointestinal stromal tumors; DFSP (light blue): dermatofibrosarcoma protuberans, DTF (gold): desmoid-type fibromatosis, SFT (orange): solitary fibrous tumor, SS (purple): synovial sarcomas, TGCT (black): tenosynovial giant cell tumors. | ||
| Supplementary Figure 1 available as a PNG file | |
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Supplemental Figure 2: CD163, FCGR3a, CD56, and CD57 stains in a LMS case (92P). The CD163 and FCGR3a positive macrophages do not express CD56 and CD57. | ||
| Supplementary Figure 2 available as a JPEG file | |
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Supplemental Figure 3: Kaplan Meier analysis for FCGR3a, CTSL1, CSF1, and CD163 in the gynecologic and non-gynecologic LMS. The Bonferroni shows that for 6 comparisons the p value for each one should be < 0.008 to have an overall alpha error level (p value) of 0.05. | ||
| Supplementary Figure 3 available as a JPEG file | |
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