Evidence map›Paper›PMID 40093111›Full record

ArticlebioRxiv : the preprint server for biology2025

Hierarchical Lineage Tracing Reveals Diverse Pathways of AML Treatment Resistance.

Rachel Saxe, Hannah Stuart, Abigail Marshall, Fahiima Abdullahi, Zoë Chen, Francesco Emiliani, Aaron McKenna

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

5 · Who and what money

Authors and funding

7 authors.

Rachel SaxeMolecular and Systems Biology, Dartmouth College, Hanover, NH.ORCID 0000-0002-3266-6363
Hannah StuartMolecular and Systems Biology, Dartmouth College, Hanover, NH.ORCID 0009-0003-6639-1817
Abigail MarshallMolecular and Systems Biology, Dartmouth College, Hanover, NH.ORCID 0000-0002-6790-3998
Fahiima AbdullahiThe Dartmouth MD-PhD Undergraduate Summer Fellowship Program, Lebanon, NH.
Zoë ChenDartmouth Cancer Center, Dartmouth College, Lebanon, NH.
Francesco EmilianiMolecular and Systems Biology, Dartmouth College, Hanover, NH.ORCID 0000-0001-6476-5166
Aaron McKennaMolecular and Systems Biology, Dartmouth College, Hanover, NH.ORCID 0000-0001-8277-651

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
Zhao - Proj 2P20GM130454 · NIGMS · DARTMOUTH COLLEGE · PI MICHAEL L WHITFIELD · 2019 to 2026
$27.2M
Acquisition of the NextSeq2000 Sequencing platform to Increase Next Generation Sequencing Throughput While Reducing Costs at DartmouthS10OD030242 · OD · DARTMOUTH COLLEGE · PI KOLLING IV, FRED W · 2021 to 2021
$321k
10X Genomics Chromium Single-cell Sequencing to Expand Research At DartmouthS10OD025235 · OD · DARTMOUTH COLLEGE · PI TOMLINSON, CRAIG R · 2018 to 2018
$125k
NCI NIH HHS P30 CA023108NIGMS NIH HHS P20 GM130454NIH HHS S10 OD025235NIH HHS S10 OD030242
6 · The paper itself

Abstract

Cancer cells adapt to treatment, leading to the emergence of clones that are more aggressive and resistant to anti-cancer therapies. We have a limited understanding of the development of treatment resistance as we lack technologies to map the evolution of cancer under the selective pressure of treatment. To address this, we developed a hierarchical, dynamic lineage tracing method called FLARE (Following Lineage Adaptation and Resistance Evolution). We use this technique to track the progression of acute myeloid leukemia (AML) cell lines through exposure to Cytarabine (AraC), a front-line treatment in AML, in vitro and in vivo. We map distinct cellular lineages in murine and human AML cell lines predisposed to AraC persistence and/or resistance via the upregulation of cell adhesion and motility pathways. Additionally, we highlight the heritable expression of immunoproteasome 11S regulatory cap subunits as a potential mechanism aiding AML cell survival, proliferation, and immune escape in vivo. Finally, we validate the clinical relevance of these signatures in the TARGET-AML cohort, with a bisected response in blood and bone marrow. Our findings reveal a broad spectrum of resistance signatures attributed to significant cell transcriptional changes. To our knowledge, this is the first application of dynamic lineage tracing to unravel treatment response and resistance in cancer, and we expect FLARE to be a valuable tool in dissecting the evolution of resistance in a wide range of tumor types.

Identifiers

PMID40093111
PMCPMC11908168

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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.