Hematologic Malignancies: Clinical Features and Prognostic Indicators
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Clinical Research of Cancer".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 1
Special Issue Editor
2. Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia
Interests: myeloproliferative neoplasms; leukemia; lymphoma; myeloma; myelodysplastic syndrome
Special Issue Information
Dear Colleagues,
Cancer remains one of the leading causes of death in developed countries, with 20% of cases involving hematological malignancies, myeloid and lymphoid neoplasms caused by disruption of normal hematopoietic function. Several common subtypes are used to classify them, including leukemia, myelodysplastic syndrome (MDS), multiple myeloma (MM), non-Hodgkin lymphoma (NHL) and Hodgkin lymphoma (HL), multiple myeloma (MM), and myeloproliferative neoplasms (MPN). Although survival rates in these patients have improved dramatically over the past decade, understanding specific patterns and temporal trends in morbidity and mortality from hematological malignancies remains a priority, which may help develop more targeted prevention strategies. Clinical features have shown importance for early diagnosis of the disease, assessment of disease burden and severity, as well as in monitoring response to treatment. Prognostic markers provide key information for predicting outcome and survival. Patients identified as high-risk may require more intensive therapies, including stem cell transplantation in younger individuals, while those with favorable indicators may receive less aggressive treatment to minimize side effects.
This Special Issue invites original research articles and comprehensive reviews investigating the clinical characteristics and prognostic indicators of hematologic malignancies, which thereby help identify and close gaps in our knowledge of prevention and clinical management of blood cancers.
Dr. Danijela Leković
Guest Editor
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Keywords
- leukemia
- myelodysplastic syndrome
- myeloproliferative neoplasms
- lymphoma
- multiple myeloma
- diagnosis
- prognosis
- molecular markers
- infections
- survival
- machine learning
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