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1. Acute myeloid leukemia with a novel AKAP9::PDGFRA fusion transformed from essential thrombocythemia: A case report and mini review

2. Isochromosome 7p, i(7)(p10): A rare AML, myelodysplasia-related entity

3. Ibrutinib and venetoclax target distinct subpopulations of CLL cells: implication for residual disease eradication

4. Activation of MYC, a bona fide client of HSP90, contributes to intrinsic ibrutinib resistance in mantle cell lymphoma

5. Clonal evolution underlying leukemia progression and Richter transformation in patients with ibrutinib-relapsed CLL

7. Decrease in JAK2V617F allele burden is not a prerequisite to clinical response in patients with polycythemia vera

8. To Live or to Die: Prosurvival Activity of PPARγ in Cancers

9. SHP1 loss augments DLBCL cellular response to ibrutinib: a candidate predictive biomarker

11. Data from XPO1 Inhibitor Selinexor Overcomes Intrinsic Ibrutinib Resistance in Mantle Cell Lymphoma via Nuclear Retention of IκB

12. Supplementary figures 1-3 from XPO1 Inhibitor Selinexor Overcomes Intrinsic Ibrutinib Resistance in Mantle Cell Lymphoma via Nuclear Retention of IκB

13. Supplementary Figure S1. Schematic representation and establishment of the B-cell lymphoma PDX models from B-Cell Lymphoma Patient-Derived Xenograft Models Enable Drug Discovery and Are a Platform for Personalized Therapy

14. Data from Cerdulatinib Pharmacodynamics and Relationships to Tumor Response Following Oral Dosing in Patients with Relapsed/Refractory B-cell Malignancies

15. Supplementary Table S3. OncoPlus Gene List and Identified Variants from B-Cell Lymphoma Patient-Derived Xenograft Models Enable Drug Discovery and Are a Platform for Personalized Therapy

16. Supplementary Figure S4. Carfilzomib overcomes primary ibrutinib resistance in vivo from B-Cell Lymphoma Patient-Derived Xenograft Models Enable Drug Discovery and Are a Platform for Personalized Therapy

17. Supplementary Table S2. The RPPA antibody list from B-Cell Lymphoma Patient-Derived Xenograft Models Enable Drug Discovery and Are a Platform for Personalized Therapy

18. Supplementary Figure S2. Characterization of the B-cell lymphoma PDX models from B-Cell Lymphoma Patient-Derived Xenograft Models Enable Drug Discovery and Are a Platform for Personalized Therapy

19. Data from B-Cell Lymphoma Patient-Derived Xenograft Models Enable Drug Discovery and Are a Platform for Personalized Therapy

20. Supplementary Data (Table S1, Figure S1, Figure S2, Figure S3) from Cerdulatinib Pharmacodynamics and Relationships to Tumor Response Following Oral Dosing in Patients with Relapsed/Refractory B-cell Malignancies

21. Supplementary Figure S3. Treatment profiling of PDX models from B-Cell Lymphoma Patient-Derived Xenograft Models Enable Drug Discovery and Are a Platform for Personalized Therapy

22. Supplementary Materials from B-Cell Lymphoma Patient-Derived Xenograft Models Enable Drug Discovery and Are a Platform for Personalized Therapy

24. Ibrutinib and venetoclax target distinct subpopulations of CLL cells: implication for residual disease eradication

25. Inhibition of B-cell receptor signaling disrupts cell adhesion in mantle cell lymphoma via RAC2

26. XPO1 Inhibitor Selinexor Overcomes Intrinsic Ibrutinib Resistance in Mantle Cell Lymphoma via Nuclear Retention of IκB

27. MYD88 Mutations and Sensitivity to Ibrutinib Therapy

28. Dual SYK/JAK inhibition overcomes ibrutinib resistance in chronic lymphocytic leukemia: Cerdulatinib, but not ibrutinib, induces apoptosis of tumor cells protected by the microenvironment

29. Clinical Validation of a Next-Generation Sequencing Genomic Oncology Panel via Cross-Platform Benchmarking against Established Amplicon Sequencing Assays

30. Lee J, Zhang LL, Wu W, et al. Activation of MYC, a bona fide client of HSP90, contributes to intrinsic ibrutinib resistance in mantle cell lymphoma. Blood Adv. 2018;2(16):2039-2051

31. Cerdulatinib Pharmacodynamics and Relationships to Tumor Response Following Oral Dosing in Patients with Relapsed/Refractory B-cell Malignancies

32. System for Informatics in the Molecular Pathology Laboratory: An Open-Source End-to-End Solution for Next-Generation Sequencing Clinical Data Management

33. Laboratory Practice Guidelines for Detecting and Reporting JAK2 and MPL Mutations in Myeloproliferative Neoplasms

34. Molecular Monitoring of Chronic Myeloid Leukemia

35. Bone marrow morphology predicts additional chromosomal abnormalities in patients with myelodysplastic syndrome with del(5q)

36. The JAK2V617F Mutation Seen in Myeloproliferative Neoplasms (MPNs) Occurs in Patients with Inflammatory Bowel Disease: Implications of a Pilot Study

37. Certification in Molecular Pathology in the United States

38. Splenic extramedullary hematopoietic proliferation in Philadelphia chromosome-negative myeloproliferative neoplasms: heterogeneous morphology and cytological composition

39. Ibrutinib Resistance in Chronic Lymphocytic Leukemia

40. Establishment of the first World Health Organization International Genetic Reference Panel for quantitation of BCR-ABL mRNA

41. Epigenetic Down-Regulation of the Tumor Suppressor Gene PRDM1/Blimp-1 in Diffuse Large B Cell Lymphomas

42. NK/T cell non-Hodgkin lymphoma in a HIV-positive patient

43. Activities of SYK and PLCγ2 Predict Apoptotic Response of CLL Cells to SRC Tyrosine Kinase Inhibitor Dasatinib

44. Colorectal Cancer Expression of Peroxisome Proliferator-Activated Receptor γ (PPARG, PPARgamma) Is Associated With Good Prognosis

45. JAK2 haplotype is a major risk factor for the development of myeloproliferative neoplasms

46. Amplification Refractory Mutation System, a Highly Sensitive and Simple Polymerase Chain Reaction Assay, for the Detection of JAK2 V617F Mutation in Chronic Myeloproliferative Disorders

47. Activation of Peroxisome Proliferator-Activated Receptor γ Contributes to the Survival of T Lymphoma Cells by Affecting Cellular Metabolism

48. Contents Vol. 118, 2007

49. Heightened BTK-dependent cell proliferation in unmutated chronic lymphocytic leukemia confers increased sensitivity to ibrutinib

50. β-Glucuronidase Is an Optimal Normalization Control Gene for Molecular Monitoring of Chronic Myelogenous Leukemia

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