Laboratories:
- By PI Laboratory:
-
- Bashford, Don, PhD
- Chen, Taosheng, PhD, PMP®
- Evans, William E., PharmD
- Fujii, Naoaki, PhD
- Guy, Kip R., PhD
- Kriwacki, Richard W., PhD
- McCullers, Jonathan A., MD
- McKinney-Freeman, Shannon, PhD
- Mead, Paul E., PhD
- Mittag, Tanja, PhD
- Pillai, Asha B., MD
- Rivas, Fatima, PhD
- Shelat, Anang, PhD
- Snyder, Scott E., PhD
- Webb, Thomas R., PhD
- Yan, Bing, PhD
- Zhang, Jinghui, PhD
Supplemental Data:
- By Author
-
- Ma, Jing, PhD
- Macdonald, Tobey
- Magdaleno, Susan
- Mahfouz, Rami
- Malkin, D.
- Mathew, Rose
- Mathew, Susan
- Mehta, Perdeep K., PhD
- Meyer, J.
- Meyling, H.
- Mikhail, Fady M.
- Miller, Christopher B.
- Mo, Bing
- Morris, Steve
- Mukatira, Suraj, PhD
- Mullighan, Charles, MBBS(Hons), MSc, MD
- Murray, Peter, PhD
- Murti, Gopal, PhD
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Supplementary Information
Gene-expression patterns in drug resistant acute lymphoblastic leukemia cells and response to treatment.
Supplemental Figure 1: Unsupervised hierarchical clustering discriminating drug resistant and drug sensitive ALL patients.
Unsupervised hierarchical clustering of 173 patients was performed using 14,550 probe sets. Age (red= >10 years), white blood cell count (WBC, red= >100 x109/L), genetic or lineage subtype (see legend) and the combined drug resistance gene expression (GE) score for prednisolone, vincristine, asparaginase and daunorubicin are shown for each patient (high/resistant in red= GE score>5.58 and low/sensitive green= GE score<4.70). Unsupervised clustering is largely driven by ALL subtype, e.g., T- and B-lineage ALL. None of the other known prognostic features (patient age, WBC) clustered in an unsupervised analysis, as was also the case for the drug resistance gene expression score.
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