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1. Does a Multiple Myeloma Polygenic Risk Score Predict Overall Survival of Patients with Myeloma?

3. A polygenic risk score for multiple myeloma risk prediction

5. Genome-wide association study identifies variants at 16p13 associated with survival in multiple myeloma patients.

6. Genetically determined telomere length and multiple myeloma risk and outcome

7. Exome sequencing identifies germline variants in DIS3 in familial multiple myeloma

8. Supporting the Diagnosis of Fabry Disease Using a Natural Language Processing-Based Approach

9. Analiza skuteczności ibrutynibu w podgrupie chorych na przewlekłą białaczkę limfocytową z delecją 17p: badanie obserwacyjne Polskiej Grupy ds. Leczenia Białaczek u Dorosłych (PALG)

10. A pleiotropic variant in DNAJB4 is associated with multiple myeloma risk

11. A pleiotropic variant in DNAJB4 is associated with multiple myeloma risk

13. A pleiotropic variant in DNAJB4 is associated with multiple myeloma risk

14. Identification of miRSNPs associated with the risk of multiple myeloma

16. Polish Experts’ Position Statement on the use of granulocyte colony-stimulating factor in the treatment of chronic lymphocytic leukemia with venetoclax combined with rituximab

17. A polygenic risk score for multiple myeloma risk prediction

18. Risk of multiple myeloma is associated with polymorphisms within telomerase genes and telomere length

19. Common gene variants within 3′-untranslated regions as modulators of multiple myeloma risk and survival

21. Expression quantitative trait loci of genes predicting outcome are associated with survival of multiple myeloma patients

22. A polygenic risk score for multiple myeloma risk prediction:E-poster

23. Common gene variants within 3′‐untranslated regions as modulators of multiple myeloma risk and survival

24. Cereblon (CRBN) gene polymorphisms predict clinical response and progression-free survival in relapsed/refractory multiple myeloma patients treated with lenalidomide: a pharmacogenetic study from the IMMEnSE consortium

25. Exome sequencing identifies germline variants in DIS3 in familial multiple myeloma.

26. Genetic polymorphisms in genes of class switch recombination and multiple myeloma risk and survival:an IMMEnSE study

27. Efficacy and safety of obinutuzumab-chlorambucil combination in the frontline treatment of elderly patients with chronic lymphocytic leukemia and comorbidities : real‑life data from Polish Adult Leukemia Group (PALG) analysis

29. Ruksolitynib w terapii chorych na mielofibrozę — pytania i odpowiedzi

30. Genetic polymorphisms in genes of class switch recombination and multiple myeloma risk and survival: an IMMEnSE study

31. Inherited variation in the xenobiotic transporter pathway and survival of multiple myeloma patients

34. Inherited variation in the xenobiotic transporter pathway and survival of multiple myeloma patients

35. Efficacy and safety of the obinutuzumab-chlorambucil combination in the frontline treatment of elderly CLL patients with comorbidities – Polish Adult Leukemia Group (PALG) real-life analysis

36. Praktyka kliniczna oceny minimalnej choroby resztkowej u chorych na szpiczaka plazmocytowego w Polsce: badanie ankietowe Polskiego Konsorcjum Szpiczakowego

37. A multicenter prospective study on efficacy and safety of imatinib generics: A report from Polish Adult Leukemia Group imatinib generics registry

38. Efficacy and toxicity of compassionate ibrutinib use in relapsed/refractory chronic lymphocytic leukemia in Poland: analysis of the Polish Adult Leukemia Group (PALG)

39. Imatinib Generics in Treatment of Chronic Myeloid Leukemia; A Prospective Observation in Large Cohort of Patients from Polish (PALG) Imatinib Generics Registry

40. Identification of miRSNPs associated with the risk of multiple myeloma

41. Genome-wide association study identifies variants at 16p13 associated with survival in multiple myeloma patients

43. Correction: Corrigendum: Genome-wide association study identifies variants at 16p13 associated with survival in multiple myeloma patients

45. Exome sequencing identifies germline variants in DIS3in familial multiple myeloma

46. Genome-wide association study identifies variants at 16p13 associated with survival in multiple myeloma patients

48. Type 2 Diabetes-Related Variants Influence on the Risk of Developing Multiple Myeloma: Results from the Immense Consortium

49. Praktyka kliniczna oceny minimalnej choroby resztkowej u chorych na szpiczaka plazmocytowego w Polsce: badanie ankietowe Polskiego Konsorcjum Szpiczakowego.

50. Abstract 5078: Genome wide association study identifies variants at 16p13 associated with survival in multiple myeloma patients

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