Article ; Online: Biomarkers of Response to Venetoclax Therapy in Acute Myeloid Leukemia.
International journal of molecular sciences
2024 Volume 25, Issue 3
Abstract: Recent progress in the use of massive sequencing technologies has greatly enhanced our understanding of acute myeloid leukemia (AML) pathology. This knowledge has in turn driven the development of targeted therapies, such as venetoclax, a BCL-2 inhibitor ...
Abstract | Recent progress in the use of massive sequencing technologies has greatly enhanced our understanding of acute myeloid leukemia (AML) pathology. This knowledge has in turn driven the development of targeted therapies, such as venetoclax, a BCL-2 inhibitor approved for use in combination with azacitidine, decitabine, or low-dose cytarabine for the treatment of newly diagnosed adult patients with AML who are not eligible for intensive chemotherapy. However, a significant number of AML patients still face the challenge of disease relapse. In this review, we will explore biomarkers that may predict disease progression in patients receiving venetoclax-based therapy, considering both clinical factors and genetic changes. Despite the many advances, we conclude that the identification of molecular profiles for AML patients who will respond optimally to venetoclax therapy remains an unmet clinical need. |
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MeSH term(s) | Adult ; Humans ; Antineoplastic Combined Chemotherapy Protocols/adverse effects ; Leukemia, Myeloid, Acute/drug therapy ; Leukemia, Myeloid, Acute/genetics ; Leukemia, Myeloid, Acute/pathology ; Antineoplastic Agents/therapeutic use ; Bridged Bicyclo Compounds, Heterocyclic/therapeutic use ; Biomarkers ; Sulfonamides |
Chemical Substances | venetoclax (N54AIC43PW) ; Antineoplastic Agents ; Bridged Bicyclo Compounds, Heterocyclic ; Biomarkers ; Sulfonamides |
Language | English |
Publishing date | 2024-01-24 |
Publishing country | Switzerland |
Document type | Journal Article ; Review |
ZDB-ID | 2019364-6 |
ISSN | 1422-0067 ; 1422-0067 ; 1661-6596 |
ISSN (online) | 1422-0067 |
ISSN | 1422-0067 ; 1661-6596 |
DOI | 10.3390/ijms25031421 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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