» Articles » PMID: 33623882

Precision Medicine in Hematology 2021: Definitions, Tools, Perspectives, and Open Questions

Abstract

During the past few years, our understanding of molecular mechanisms and cellular interactions relevant to malignant blood cell disorders has improved substantially. New insights include a detailed knowledge about disease-initiating exogenous factors, endogenous (genetic, somatic, epigenetic) elicitors or facilitators of disease evolution, and drug actions and interactions that underlie efficacy and adverse event profiles in defined cohorts of patients. As a result, precision medicine and personalized medicine are rapidly growing new disciplines that support the clinician in making the correct diagnosis, in predicting outcomes, and in optimally selecting patients for interventional therapies. In addition, precision medicine tools are greatly facilitating the development of new drugs, therapeutic approaches, and new multiparametric prognostic scoring models. However, although the emerging roles of precision medicine and personalized medicine in hematology and oncology are clearly visible, several questions remain. For example, it remains unknown how precision medicine tools can be implemented in healthcare systems and whether all possible approaches are also affordable. In addition, there is a need to define terminologies and to relate these to specific and context-related tools and strategies in basic and applied science. To discuss these issues, a working conference was organized in September 2019. The outcomes of this conference are summarized herein and include a proposal for definitions, terminologies, and applications of precision and personalized medicine concepts and tools in hematologic neoplasms. We also provide proposals aimed at reducing costs, thereby making these applications affordable in daily practice.

Citing Articles

Surveying Hematologists' Perceptions and Readiness to Embrace Artificial Intelligence in Diagnosis and Treatment Decision-Making.

Alanzi T, Alanazi F, Mashhour B, Altalhi R, Alghamdi A, Al Shubbar M Cureus. 2023; 15(11):e49462.

PMID: 38152821 PMC: 10751460. DOI: 10.7759/cureus.49462.


Microphysiological Drug-Testing Platform for Identifying Responses to Prodrug Treatment in Primary Leukemia.

Gokce F, Kaestli A, Lohasz C, de Geus M, Kaltenbach H, Renggli K Adv Healthc Mater. 2023; 12(6):e2202506.

PMID: 36651229 PMC: 11469234. DOI: 10.1002/adhm.202202506.


Deep Morphology Learning Enhances Ex Vivo Drug Profiling-Based Precision Medicine.

Heinemann T, Kornauth C, Severin Y, Vladimer G, Pemovska T, Hadzijusufovic E Blood Cancer Discov. 2022; 3(6):502-515.

PMID: 36125297 PMC: 9894727. DOI: 10.1158/2643-3230.BCD-21-0219.


Precision Medicine in Therapy of Non-solid Cancer.

Schmidts I, Haferlach T, Hoermann G Handb Exp Pharmacol. 2022; 280:35-64.

PMID: 35989345 DOI: 10.1007/164_2022_608.


Chemosensitivity Profiling of Acute Myeloid Leukemia and Its Correlation With Clinical Response and Outcome to Chemotherapy.

Zhang Y, Ji M, Zhao J, Wang H, Wang C, Li W Front Oncol. 2022; 11:793773.

PMID: 35071002 PMC: 8767104. DOI: 10.3389/fonc.2021.793773.

References
1.
Valent P . Standard treatment of Ph+ CML in 2010: how, when and where not to use what BCR/ABL1 kinase inhibitor?. Eur J Clin Invest. 2010; 40(10):918-31. DOI: 10.1111/j.1365-2362.2010.02328.x. View

2.
Rix U, Hantschel O, Durnberger G, Remsing Rix L, Planyavsky M, Fernbach N . Chemical proteomic profiles of the BCR-ABL inhibitors imatinib, nilotinib, and dasatinib reveal novel kinase and nonkinase targets. Blood. 2007; 110(12):4055-63. DOI: 10.1182/blood-2007-07-102061. View

3.
Vicente A, Ballensiefen W, Jonsson J . How personalised medicine will transform healthcare by 2030: the ICPerMed vision. J Transl Med. 2020; 18(1):180. PMC: 7189458. DOI: 10.1186/s12967-020-02316-w. View

4.
Crombie J, Armand P . Diffuse Large B-Cell Lymphoma and High-Grade B-Cell Lymphoma: Genetic Classification and Its Implications for Prognosis and Treatment. Surg Oncol Clin N Am. 2019; 29(1):115-125. DOI: 10.1016/j.soc.2019.08.009. View

5.
Ozturk K, Dow M, Carlin D, Bejar R, Carter H . The Emerging Potential for Network Analysis to Inform Precision Cancer Medicine. J Mol Biol. 2018; 430(18 Pt A):2875-2899. PMC: 6097914. DOI: 10.1016/j.jmb.2018.06.016. View