Evidence map›Paper›PMID 41213958›Full record

ReviewCell death & disease2025

Genes-first and phenotypes-first paths to treatment resistance in hematological malignancies.

Edoardo Tamellini, Cristina Frusteri, Isacco Ferrarini

Abstract readReview
In one paragraph

Review in Cell death & disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Edoardo TamelliniDepartment of Engineering for Innovation Medicine, University of Verona, Verona, Italy.
Cristina FrusteriDepartment of Engineering for Innovation Medicine, University of Verona, Verona, Italy.
Isacco FerrariniDepartment of Engineering for Innovation Medicine, University of Verona, Verona, Italy. isacco.ferrarini@univr.it.ORCID http://orcid.org/0000-0001-9867-8335

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the outstanding achievements of precision medicine in hematology, many targeted therapies eventually fail due to the emergence of resistance mechanisms. Traditionally, a genocentric approach has been adopted to uncover the molecular underpinnings of treatment resistance. This has contributed to identifying resistance gene mutations and designing novel therapeutic molecules with increased potency for the mutant target. However, over the last five years, additional non-genetic adaptations have become increasingly recognized as crucial promoters of treatment resistance. In parallel, emerging works in the field of evolutionary biology suggest that advantageous phenotypic traits appear most often due to cell-intrinsic phenotypic plasticity and can arise independently of gene mutations. In selected cases, single genetic abnormalities such as those involving TP53 can prime human cells for plasticity and facilitate phenotypic variability. In this narrative review, we retrace the resistance mechanisms to targeted therapies in the framework of these novel evolutionary concepts. We highlight the dichotomy between genes-first and phenotypes-first pathways of treatment adaptation, with the former being driven by traditional single-point mutations and the latter initiated by the phenotypic diversity and the high-level plasticity of cancer cells. Focusing on resistance mechanisms to kinase inhibitors and BH3 mimetics in leukemias and lymphomas, we describe how each drug can trigger both escape routes, which may even coexist within the tumor bulk of individual patients. Lastly, we provide a three-step translational perspective on how to counteract phenotypes-first resistance mechanisms, with the aim of prolonging disease control in hematological malignancies.

Indexed as

Drug Resistance, NeoplasmHematologic NeoplasmsHumansMutationPhenotype

Identifiers

PMID41213958
PMCPMC12603162

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.