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1. Racial and ethnic differences in clonal hematopoiesis, tumor markers, and outcomes of patients with multiple myeloma

2. Classifying the evolutionary and ecological features of neoplasms

4. IAP and HDAC inhibitors interact synergistically in myeloma cells through noncanonical NF-κB– and caspase-8–dependent mechanisms

5. Figure S7 Part 2 from CK1δ and CK1ε Signaling Sustains Mitochondrial Metabolism and Cell Survival in Multiple Myeloma

6. CK1δ/CK1ε Signaling Sustains Mitochondrial Metabolism and Cell Survival in Multiple Myeloma

8. PLK1 stabilizes a MYC-dependent kinase network in aggressive B cell lymphomas

9. Whole-Exome sequencing analysis identified TMSB10/TRABD2A locus to be associated with carfilzomib-related cardiotoxicity among patients with multiple myeloma

30. Replicative Instability Drives Cancer Progression

31. CancerCellTracker: a brightfield time-lapse microscopy framework for cancer drug sensitivity estimation

32. Plasma cell dependence on histone/protein deacetylase 11 reveals a therapeutic target in multiple myeloma

33. Therapeutic Targeting of Protein Disulfide Isomerase PDIA1 in Multiple Myeloma

34. Metabolic Changes Are Associated with Melphalan Resistance in Multiple Myeloma

35. Transcriptional programming drives Ibrutinib-resistance evolution in mantle cell lymphoma

37. A pharmacodynamic model of clinical synergy in multiple myeloma

38. BCL2 Amplicon Loss and Transcriptional Remodeling Drives ABT-199 Resistance in B Cell Lymphoma Models

39. A theoretical quantitative model for evolution of cancer chemotherapy resistance

50. Adaptive Therapy

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