Chronic lymphocytic leukemia treatment algorithm 2022.
Paul Joseph HampelSameer A ParikhPublished in: Blood cancer journal (2022)
The treatment landscape for patients with chronic lymphocytic leukemia (CLL) has changed considerably with the introduction of very effective oral targeted therapies (such as Bruton tyrosine kinase inhibitors and venetoclax) and next-generation anti-CD20 monoclonal antibodies (such as obinutuzumab). These agents lead to improved outcomes in patients with CLL, even among those with high-risk features, such as del17p13 or TP53 mutation and unmutated immunoglobulin heavy chain (IGHV) genes. Selecting the right treatment for the right patient requires consideration of disease characteristics and prior treatment sequence, as well as patient preferences and comorbidities. The CLL-International Prognostic Index (CLL-IPI) remains the best-validated tool in predicting the time to first therapy among previously untreated patients, which guides selection for early intervention efforts. This review summarizes our current approach to the management of CLL, right from the time of diagnosis through relapsed disease.
Keyphrases
- chronic lymphocytic leukemia
- randomized controlled trial
- stem cells
- machine learning
- type diabetes
- deep learning
- acute myeloid leukemia
- gene expression
- newly diagnosed
- bone marrow
- prognostic factors
- skeletal muscle
- genome wide
- replacement therapy
- diffuse large b cell lymphoma
- multiple myeloma
- cell therapy
- single cell
- amino acid