959 results on '"Novak, Anne J."'
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2. Transcriptomic classification of diffuse large B-cell lymphoma identifies a high-risk activated B-cell-like subpopulation with targetable MYC dysregulation
3. Multiomic analysis identifies a high-risk signature that predicts early clinical failure in DLBCL
4. T-cell phenotype including CD57+ T follicular helper cells in the tumor microenvironment correlate with a poor outcome in follicular lymphoma
5. Relationship between BCL2 mutations and follicular lymphoma outcome in the chemoimmunotherapy era
6. Characterization of immune exhaustion and suppression in the tumor microenvironment of splenic marginal zone lymphoma
7. Follicular lymphoma B cells exhibit heterogeneous transcriptional states with associated somatic alterations and tumor microenvironments
8. Distinct germline genetic susceptibility profiles identified for common non-Hodgkin lymphoma subtypes
9. Correction: Distinct germline genetic susceptibility profiles identified for common non-Hodgkin lymphoma subtypes
10. Genetic overlap between autoimmune diseases and non‐Hodgkin lymphoma subtypes
11. Causes of death in low-grade B-cell lymphomas in the rituximab era: a prospective cohort study
12. Multiomics analysis of IgM monoclonal gammopathies reveals epigenetic influence on oncogenesis via DNA methylation
13. Chronic lymphocytic leukemia B-cell-derived TNFα impairs bone marrow myelopoiesis
14. Increased glutathione utilization augments tumor cell proliferation in Waldenstrom Macroglobulinemia
15. Targeting of inflammatory pathways with R2CHOP in high-risk DLBCL
16. Genetically predicted longer telomere length is associated with increased risk of B-cell lymphoma subtypes
17. MicroRNA and long non-coding RNA analysis in IgM monoclonal gammopathies reveals epigenetic influence on cellular functions and oncogenesis
18. A genome-wide association study of marginal zone lymphoma shows association to the HLA region.
19. Genetics in Lymphomagenesis
20. Targeting glycogen synthase kinase 3 for therapeutic benefit in lymphoma
21. Lack of intrafollicular memory CD4 + T cells is predictive of early clinical failure in newly diagnosed follicular lymphoma
22. Genome-wide association study identifies multiple susceptibility loci for diffuse large B cell lymphoma
23. Genome-wide Association Study Identifies Five Susceptibility Loci for Follicular Lymphoma outside the HLA Region
24. Molecular Classification of Relapsed DLBCL Reveals Novel Biologic Subgroups
25. DEK Regulates B-Cell Proliferative Capacity and Is Associated with Aggressive Disease in Low-Grade B-Cell Lymphoma
26. Genome-wide association study identifies multiple risk loci for chronic lymphocytic leukemia
27. GWAS of Follicular Lymphoma Reveals Allelic Heterogeneity at 6p21.32 and Suggests Shared Genetic Susceptibility with Diffuse Large B-cell Lymphoma
28. Multiomic Analysis Identifies a High-Risk Metabolic and TME Depleted Signature that Predicts Early Clinical Failure in DLBCL
29. Somatic copy number gains in MYC, BCL2, and BCL6 identifies a subset of aggressive alternative-DH/TH DLBCL patients
30. Multiomic Analysis Identifies a High-Risk Metabolic and TME Depleted Signature that Predicts Early Clinical Failure in DLBCL
31. Molecular subtypes of diffuse large B cell lymphoma are associated with distinct pathogenic mechanisms and outcomes
32. Molecular classification and identification of an aggressive signature in low‐grade B‐cell lymphomas
33. Abstract 1181: Etiologic heterogeneity of genetic risk for DLBCL cell-of origin molecular subtypes
34. Supplementary Figure from Phenotype, Function, and Clinical Significance of CD26+ and CD161+Tregs in Splenic Marginal Zone Lymphoma
35. Supplementary Data from Phenotype, Function, and Clinical Significance of CD26+ and CD161+Tregs in Splenic Marginal Zone Lymphoma
36. Data from Phenotype, Function, and Clinical Significance of CD26+ and CD161+Tregs in Splenic Marginal Zone Lymphoma
37. Supplementary Figure 3 from Molecular Clusters and Tumor-Immune Drivers of IgM Monoclonal Gammopathies
38. Data from Germline Variation in Apoptosis Pathway Genes and Risk of Non–Hodgkin's Lymphoma
39. Supplementary Tables 1 and 2 from Non-Hodgkin Lymphoma, Body Mass Index, and Cytokine Polymorphisms: A Pooled Analysis from the InterLymph Consortium
40. Data from Mapping of the IRF8 Gene Identifies a 3′UTR Variant Associated with Risk of Chronic Lymphocytic Leukemia but not Other Common Non-Hodgkin Lymphoma Subtypes
41. Figure S1 from TIGIT Expression Is Associated with T-cell Suppression and Exhaustion and Predicts Clinical Outcome and Anti–PD-1 Response in Follicular Lymphoma
42. Supplementary Table 5 from Mapping of the IRF8 Gene Identifies a 3′UTR Variant Associated with Risk of Chronic Lymphocytic Leukemia but not Other Common Non-Hodgkin Lymphoma Subtypes
43. Supplementary Table 3 from Mapping of the IRF8 Gene Identifies a 3′UTR Variant Associated with Risk of Chronic Lymphocytic Leukemia but not Other Common Non-Hodgkin Lymphoma Subtypes
44. Table S2 from TIGIT Expression Is Associated with T-cell Suppression and Exhaustion and Predicts Clinical Outcome and Anti–PD-1 Response in Follicular Lymphoma
45. Supplementary Table 1 from Germline Variation in Apoptosis Pathway Genes and Risk of Non–Hodgkin's Lymphoma
46. Supplementary Figure 1 from Mapping of the IRF8 Gene Identifies a 3′UTR Variant Associated with Risk of Chronic Lymphocytic Leukemia but not Other Common Non-Hodgkin Lymphoma Subtypes
47. Supplementary Table 1 from Mapping of the IRF8 Gene Identifies a 3′UTR Variant Associated with Risk of Chronic Lymphocytic Leukemia but not Other Common Non-Hodgkin Lymphoma Subtypes
48. Supplementary Table 4 from Mapping of the IRF8 Gene Identifies a 3′UTR Variant Associated with Risk of Chronic Lymphocytic Leukemia but not Other Common Non-Hodgkin Lymphoma Subtypes
49. Supplementary Table 2 from Mapping of the IRF8 Gene Identifies a 3′UTR Variant Associated with Risk of Chronic Lymphocytic Leukemia but not Other Common Non-Hodgkin Lymphoma Subtypes
50. Supplementary Figure legends from TIGIT Expression Is Associated with T-cell Suppression and Exhaustion and Predicts Clinical Outcome and Anti–PD-1 Response in Follicular Lymphoma
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