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4. Influence of TP53 gene mutations and their allelic status in myelodysplastic syndromes with isolated 5q deletion

10. Validation of the Artificial Intelligence Prognostic Scoring System for Myelodysplastic Syndromes in chronic myelomonocytic leukaemia: A novel approach for improved risk stratification

11. Influence of TP53gene mutations and their allelic status in myelodysplastic syndromes with isolated 5q deletion

15. P703: THE AIPSS-MDS MACHINE LEARNING MODEL PREDICTS OVERALL SURVIVAL AND LEUKEMIC TRANSFORMATION IN CMML: AN ANALYSIS OF THE SPANISH REGISTRY OF MDS

17. P720: A BONE MARROW MICROENVIRONMENTAL CELL SIGNATURE SCORING SYSTEM INDEPENDENTLY PREDICTED SURVIVAL AND DRUG RESISTANCE IN CHRONIC MYELOMONOCYTIC LEUKAEMIA PATIENTS

19. S171: HIGHER MDMX EXPRESSION WAS ASSOCIATED WITH HYPOMETHYLATING AGENT RESISTANCE AND WORSE SURVIVAL IN MYELODYSPLASTIC SYNDROME PATIENTS, INFERRING IT A POTENTIAL THERAPEUTIC TARGET

21. A three‐gene leukaemic stem cell signature score is robustly prognostic in chronic myelomonocytic leukaemia

23. Distinct genetic landscapes and their clinical implications in younger and older patients with myelodysplastic syndromes.

26. A Three Gene Leukemic Stem Cell Signature Score Is Robustly Prognostic in Chronic Myelomonocytic Leukemia

46. Immune signatures of bone marrow cells can independently predict prognosis in patients with myelodysplastic syndrome.

47. Future directions in myelodysplastic syndromes/neoplasms and acute myeloid leukaemia classification: from blast counts to biology.

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