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@ARTICLE{Hofmann:181143,
author = {W.-K. Hofmann and A. Trumpp$^*$ and C. Müller-Tidow},
title = {{T}herapy {R}esistance {M}echanisms in {H}ematological
{M}alignancies.},
journal = {International journal of cancer},
volume = {152},
number = {3},
issn = {0020-7136},
address = {Bognor Regis},
publisher = {Wiley-Liss},
reportid = {DKFZ-2022-01796},
pages = {340-347},
year = {2023},
note = {2023 Feb 1;152(3):340-347},
abstract = {Hematologic malignancies are model diseases for
understanding neoplastic transformation and serve as
prototypes for developing effective therapies. Indeed, the
concept of systemic cancer therapy originated in hematologic
malignancies and has guided the development of chemotherapy,
cellular therapies, immunotherapy, and modern precision
oncology. Despite significant advances in the treatment of
leukemias, lymphomas and multiple myelomas, treatment
resistance associated with molecular and clinical relapse
remains very common. Therapy of relapsed and refractory
disease remains extremely difficult, and failure of disease
control at this stage remains the leading cause of mortality
in patients with hematologic malignancies. In recent years,
many efforts have been made to identify the genetic and
epigenetic mechanisms that drive the development of
hematologic malignancies to the stage of full-blown disease
requiring clinical intervention. In contrast, the mechanisms
responsible for treatment resistance in hematologic
malignancies remain poorly understood. For example, the
molecular characteristics of therapy-resistant persisting
cells in minimal residual disease (MRD) remain rather
elusive. In this mini-review we want to discuss that
cellular heterogeneity and plasticity, together with
adaptive genetic and epigenetic processes, lead to reduced
sensitivity to various treatment regimens such as
chemotherapy and pathway inhibitors such as tyrosine kinase
inhibitors. However, resistance mechanisms may be conserved
across biologically distinct cancer entities. Recent
technological advances have made it possible to explore the
underlying mechanisms of therapy resistance with
unprecedented resolution and depth. These include novel
multi-omics technologies with single cell resolution
combined with advanced biocomputational approaches, along
with artificial intelligence (AI), and sophisticated disease
models for functional validation. This article is protected
by copyright. All rights reserved.},
subtyp = {Review Article},
keywords = {Hematological malignancies (Other) / Mechanisms (Other) /
Resistance (Other) / Therapy (Other)},
cin = {A010 / V960},
ddc = {610},
cid = {I:(DE-He78)A010-20160331 / I:(DE-He78)V960-20160331},
pnm = {311 - Zellbiologie und Tumorbiologie (POF4-311)},
pid = {G:(DE-HGF)POF4-311},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:35962946},
doi = {10.1002/ijc.34243},
url = {https://inrepo02.dkfz.de/record/181143},
}