Evidence mapPaperPMID 42512392Full record

ReviewCancers2026

Modern Concepts in Precision Targeting of Acute Myeloid Leukemia Based on Principles of Molecular Oncology.

Robert Yuan, Melissa Mariano, David Cachia, Talha Badar, Shyam A Patel

Abstract readReview
In one paragraph

Review in Cancers, 2026. 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

5 authors.

Robert YuanDivision of Hematology/Oncology, Department of Medicine, UMass Memorial Medical Center, UMass Chan Medical School, Worcester, MA 01655, USA.ORCID 0009-0004-4290-0645
Melissa MarianoDivision of Hematology/Oncology, Department of Medicine, UMass Memorial Medical Center, UMass Chan Medical School, Worcester, MA 01655, USA.
David CachiaDivision of Hematology/Oncology, Department of Medicine, UMass Memorial Medical Center, UMass Chan Medical School, Worcester, MA 01655, USA.ORCID 0000-0002-5860-8452
Talha BadarBone Marrow Transplant Program, Division of Hematology/Oncology, Mayo Clinic, Jacksonville, FL 32224, USA.ORCID 0000-0003-1548-918X
Shyam A PatelDivision of Hematology/Oncology, Department of Medicine, UMass Memorial Medical Center, UMass Chan Medical School, Worcester, MA 01655, USA.ORCID 0000-0002-8208-1902

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myeloid leukemia (AML) pathogenesis is deeply rooted in the concept of clonal evolution, in which hematopoietic stem cells experience an initial genetic insult, followed by the sequential acquisition of mutations leading to various disease phenotypes. Through natural selection, a malignant clone can diversify and propagate with time. Aside from clonal evolution, a number of time-honored principles of molecular oncology account for the initiation and maintenance of AML. These principles include loss of heterozygosity, genomic instability, epigenomic disruption, deregulation of signaling pathways, anti-apoptotic mechanisms, and oncogene addiction. Such tenets of cancer biology not only explain AML cellular behavior but also may inform target validation in AML. Herein, we highlight the current state of targeted therapeutics, including the 14 novel agents (beyond 7+3 chemotherapy) approved by the Food and Drug Administration, in the context of these tenets and discuss future prospects by leveraging current knowledge of AML genomics. Such therapeutic concepts, including synthetic lethality, are especially relevant to

Indexed as

acute myeloid leukemiaprecision therapysynthetic lethalitytargeted therapeutics

Identifiers

PMID42512392
PMCPMC13407033

What Socratic holds

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Registered trials

None linked

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 Socratic graph.