Article in Blood cancer discovery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing 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.
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
19 authors.
Daiki Karigane *Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California.ORCID 0000-0002-4017-5193
Amy C Fan *Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California.ORCID 0000-0003-1612-1862
Toshinobu NishimuraInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California.ORCID 0000-0002-5425-1708
Kensuke KayamoriInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California.ORCID 0000-0001-6140-3135
Yusuke NakauchiInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California.ORCID 0000-0002-6943-3811
Thomas KöhnkeInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California.ORCID 0000-0001-7454-6282
Athreya RangavajhulaInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California.ORCID 0009-0002-1323-2671
Asiri EdiriwickremaInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California.ORCID 0000-0002-6480-8290
Brooks A BenardCancer Institute, Stanford University School of Medicine, Stanford, California.ORCID 0000-0001-7154-744X
Rozario ThomasInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California.ORCID 0000-0003-1221-1879
Feifei ZhaoInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California.ORCID 0000-0002-8406-716X
Melissa StaffordInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California.ORCID 0000-0002-3327-2112
Fabian P SuchyInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California.ORCID 0000-0002-7187-5360
Jonas L FowlerInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California.ORCID 0000-0003-0766-4320
Mark P ChaoInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California.ORCID 0000-0002-5842-7272
Tian Yi ZhangCancer Institute, Stanford University School of Medicine, Stanford, California.ORCID 0000-0002-6274-0763
Kyle M LohInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California.ORCID 0000-0002-8042-0149
Hiromitsu NakauchiInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California.ORCID 0000-0002-9841-6973
Ravindra MajetiInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California.ORCID 0000-0002-5814-0984
Funding
Developing approaches for universal organ transplantationDP5OD024558 · OD · STANFORD UNIVERSITY · PI LOH, KYLE M · 2017 to 2021
$2.0M
Human Acute Myeloid Leukemia Stem CellsR01CA251331 · NCI · STANFORD UNIVERSITY · PI MAJETI, RAVINDRA · 2020 to 2024
$1.8M
Deutsche Forschungsgemeinschaft (DFG) KO 5509/1-1Japan Society for the Promotion of Science (JSPS) JP21J01690Japan Society for the Promotion of Science (JSPS) JP22KJ0751Leukemia and Lymphoma Society (LLS) 3406-21Nakayama Foundation for Human Science ()National Defense Science and Engineering Graduate (NDSEG)National Institutes of Health (NIH) 1R01CA251331National Science Foundation Graduate Research Fellowship Program (GRFP)NCI NIH HHS R01 CA251331NIH HHS DP5 OD024558Siebel Stem Cell Institute
6 · The paper itself
Abstract
Intratumoral heterogeneity can affect the competitive fitness and chemoresistance of individual cancer cells. In acute myeloid leukemia (AML), both genetic and functional heterogeneity contribute to chemoresistance, resulting in relapse. Whereas the role of cell-extrinsic factors has been described for AML relapse, whether interactions between cancer cells affect chemoresistance is not fully known. In this study, we demonstrated that a dominant leukemic fraction can suppress the proliferation and expansion of other leukemic cells and that this suppression is reversible. This suppression is mediated in part by both type I and type II intra-leukemic interferon signaling and dependent on BST2. Importantly, blocking antibodies to type II interferon receptor activated the cycling of this suppressed cell fraction and sensitized the cells to subsequent chemotherapy treatment. Our findings suggest that interactions between functionally heterogeneous leukemic fractions can affect competitive fitness and treatment response, highlighting interferon signaling as a potential therapeutic target to counter chemoresistance. SIGNIFICANCE: AML presents a significant challenge in clinical management due to its poor prognosis and high rates of relapse following chemotherapy. Using multiple models of primary human AML, we demonstrate that competitive interactions between leukemia cells affect clonal dynamics and therapy resistance, thereby identifying a potential strategy to improve patient outcomes. See related commentary by Papaioannou and Aifantis, p. 18.
Indexed as
Drug Resistance, NeoplasmInterferonsLeukemia, Myeloid, AcuteSignal TransductionAnimalsCell Line, TumorCell ProliferationHumansMiceInterferons
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.
Intra-Leukemic Interferon Signaling Suppresses Expansion and Mediates Chemoresistance in Human AML. · full record | OpenQuestion