Evidence map›Paper›PMID 41814545›Full record

ArticleStem cells translational medicine2026

Towards evolutionary guided precision medicine of acute myeloid leukemia and Fanconi anemia associated bone marrow failure.

Robert A Beckman, Pamela S Becker, Julia Gallini, Gary M Kupfer, Alvin P Makohon-Moore, Matthew D McCoy, Oleksandr Sverdlov

Abstract read
In one paragraph

Article in Stem cells translational medicine, 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

7 authors.

Robert A BeckmanDepartments of Oncology and of Biostatistics, Bioinformatics & Biomathematics, Lombardi Comprehensive Cancer Center and Innovation Center for Biomedical Informatics, Georgetown University Medical Center, Washington, DC 20007, United States.ORCID 0000-0003-0098-9210
Pamela S BeckerDepartment of Hematology and Hematopoietic Cell Transplantation and Department of Hematologic Malignancies Translational Science, City of Hope, Duarte, CA 91010, United States.
Julia GalliniDepartment of Biostatistics, Boston University, Boston, MA 02215, United States.
Gary M KupferDepartments of Oncology, Pediatrics, and Internal Medicine, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20007, United States.
Alvin P Makohon-MooreHackensack Meridian Health Center for Discovery and Innovation, Nutley, NJ 07110, United States.
Matthew D McCoyDepartment of Oncology, Lombardi Comprehensive Cancer Center and Innovation Center for Biomedical Informatics, Georgetown University Medical Center, Washington, DC 20007, United States.
Oleksandr SverdlovAdvanced Quantitative Sciences, Novartis Pharmaceutical Corporation, East Hanover, NJ 07936, United States.

Funding

Development of Innovative Resources to Advance MDS ResearchRC2DK127989 · NIDDK · FRED HUTCHINSON CANCER CENTER · PI Marie Bleakley, Sergei Doulatov · 2023 to 2026
$6.2M
Experimental evolution of pancreatic cancerR00CA229979 · NCI · HACKENSACK UNIVERSITY MEDICAL CENTER · PI MAKOHON-MOORE, ALVIN · 2022 to 2024
$747k
NCI NIH HHS R00 CA229979NIDDK NIH HHS RC2 DK127989US Department of Defense Breakthrough Award
6 · The paper itself

Abstract

Carcinogenesis and acquisition of multidrug resistance within established cancers are both multistep evolutionary processes in which stem cells play a role. This perspective will briefly review two corresponding theoretical constructs under development. Efficiency of carcinogenesis (EOC) considers multistep carcinogenesis and predicts the effect of differing dynamics on the efficiency of generating a transformed founder cell. EOC has been applied to evaluation of the role of genetic instability in carcinogenesis. Dynamic precision medicine (DPM) is a method for providing personalized treatment sequences for cancer while explicitly considering intracancer subclonal heterogeneity and evolutionary dynamics (growth and evolutionary rates). It adapts therapy frequently and proactively by anticipating the kinetics of multidrug resistance prior to its detection, and prioritizing its prevention. Simulations suggest potential to substantially increase survival and cure rates across a broad range of clinical presentations. Both of these problems implicate very small subclones within stem cell and/or differentiated compartments, and evolution may occur over months to years. We describe novel experimental technologies for quantifying longitudinal dynamics of very large numbers of cells for prolonged periods, allowing detection and tracking of rare events and their evolution over time. We further highlight two potential applications. In Fanconi anemia, optimal treatment sequences for minimizing bone marrow failure while not increasing the risk of leukemia may be designed using EOC and DPM and tested in laboratory models. In refractory acute myeloid leukemia, high throughput molecular characterization and drug sensitivity screening of subclones is showing clinical promise, and may be further optimized with DPM.

Indexed as

Fanconi AnemiaLeukemia, Myeloid, AcutePrecision MedicineAnimalsHumansacute myeloid leukemiabone marrow failurecarcinogenesisdrug resistanceFanconi’s anemiaprecision medicine

Identifiers

PMID41814545
PMCPMC12979054

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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.