Cited by 88Cancer-related Molecular PathwaysAcute Myeloid Leukemia ResearchProtein Tyrosine Phosphatases

A Gain-of-Function p53-Mutant Oncogene Promotes Cell Fate Plasticity and Myeloid Leukemia through the Pluripotency Factor FOXH1

Open access
Loizou, Evangelia, Banito, Ana, Livshits, Geulah, Ho, Yu-Jui, Koche, Richard P., Sánchez-Rivera, Francisco J., Mayle, Allison, Chen, Chi-Chao +5 more·2019·Cancer Discovery

Published version of a preprint

Abstract

Mutations in the TP53 tumor suppressor gene are common in many cancer types, including the acute myeloid leukemia (AML) subtype known as complex karyotype AML (CK-AML). Here, we identify a gain-of-function (GOF) Trp53 mutation that accelerates CK-AML initiation beyond p53 loss and, surprisingly, is required for disease maintenance. The Trp53R172H mutation (TP53R175H in humans) exhibits a neomorphic function by promoting aberrant self-renewal in leukemic cells, a phenotype that is present in hematopoietic stem and progenitor cells (HSPC) even prior to their transformation. We identify FOXH1 as a critical mediator of mutant p53 function that binds to and regulates stem cell–associated genes and transcriptional programs. Our results identify a context where mutant p53 acts as a bona fide oncogene that contributes to the pathogenesis of CK-AML and suggests a common biological theme for TP53 GOF in cancer. Significance: Our study demonstrates how a GOF p53 mutant can hijack an embryonic transcription factor to promote aberrant self-renewal. In this context, mutant Trp53 functions as an oncogene to both initiate and sustain myeloid leukemia and suggests a potential convergent activity of mutant Trp53 across cancer types. This article is highlighted in the In This Issue feature, p. 813

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1158/2159-8290.cd-18-1391

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Loss of the TP53-WT allele confers an additional fitness advantage to TP53-sAML LSCs.

    “Despite the known dominant negative and/or gain of function effect of certain TP53 mutations28,42, loss of the TP53-WT allele, a genetic event associated with a particularly dismal prognosis2, confers an additional fitness advantage to TP53-sAML LSCs.”

    From Single-cell multi-omics identifies chronic inflammation as a driver of TP53-mutant leukemic evolution (2023) · cites this paper as [42]

    The Results section (“p53R172H enhances self-renewal in hematopoietic cells in vitro and in vivo”; page unavailable) reports enhanced self-renewal in mutant mouse hematopoietic cells only after loss of the remaining wild-type p53 allele, along with a competitive advantage in transplantation. It does not directly establish that loss of the TP53-WT allele gives human TP53-sAML leukemia stem cells an additional fitness advantage. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 74

  1. [1]Kandoth C, McLellan MD, Vandin F, Ye K, Niu B, Lu C, Mutational landscape and significance across 12 major cancer types. Nature 2013; 502(7471): 333– 9 doi 10.1038/nature12634. 24132290 PMC3927368 · DOI · Paper page
  2. [3]Laptenko O, Prives C. Transcriptional regulation by p53: one protein, many possibilities. Cell Death Differ 2006; 13(6): 951– 61 doi 10.1038/sj.cdd.4401916. 16575405 · DOI
  3. [5]Lowe SW, Ruley HE, Jacks T, Housman DE. p53-dependent apoptosis modulates the cytotoxicity of anticancer agents. Cell 1993; 74(6): 957– 67. 8402885
  4. [6]Kastan MB, Onyekwere O, Sidransky D, Vogelstein B, Craig RW. Participation of p53 protein in the cellular response to DNA damage. Cancer Res 1991; 51(23 Pt 1): 6304– 11. 1933891
  5. [7]Kastenhuber ER, Lowe SW. Putting p53 in Context. Cell 2017; 170(6): 1062– 78 doi 10.1016/j.cell.2017.08.028. 28886379 PMC5743327 · DOI · Paper page
  6. [8]Bouaoun L, Sonkin D, Ardin M, Hollstein M, Byrnes G, Zavadil J, TP53 Variations in Human Cancers: New Lessons from the IARC TP53 Database and Genomics Data. Hum Mutat 2016; 37(9): 865– 76 doi 10.1002/humu.23035. 27328919 · DOI · Paper page
  7. [9]Prives C, Hall PA. The p53 pathway. J Pathol 1999; 187(1): 112– 26 doi 10.1002/(SICI)1096–9896(199901)187:1<112::AID-PATH250>3.0.CO;2–3. 10341712 · DOI
  8. [10]Muller PA, Vousden KH. Mutant p53 in cancer: new functions and therapeutic opportunities. Cancer Cell 2014; 25(3): 304– 17 doi 10.1016/j.ccr.2014.01.021. 24651012 PMC3970583 · DOI · Paper page
  9. [13]Freed-Pastor WA, Mizuno H, Zhao X, Langerod A, Moon SH, Rodriguez-Barrueco R, Mutant p53 disrupts mammary tissue architecture via the mevalonate pathway. Cell 2012; 148(1–2): 244– 58 doi 10.1016/j.cell.2011.12.017. 22265415 PMC3511889 · DOI · Paper page
  10. [14]Sarig R, Rivlin N, Brosh R, Bornstein C, Kamer I, Ezra O, Mutant p53 facilitates somatic cell reprogramming and augments the malignant potential of reprogrammed cells. J Exp Med 2010; 207(10): 2127– 40 doi 10.1084/jem.20100797. 20696700 PMC2947075 · DOI
  11. [15]Yi L, Lu C, Hu W, Sun Y, Levine AJ. Multiple roles of p53-related pathways in somatic cell reprogramming and stem cell differentiation. Cancer Res 2012; 72(21): 5635– 45 doi 10.1158/0008-5472.CAN-12-1451. 22964580 · DOI
  12. [16]Rucker FG, Schlenk RF, Bullinger L, Kayser S, Teleanu V, Kett H, TP53 alterations in acute myeloid leukemia with complex karyotype correlate with specific copy number alterations, monosomal karyotype, and dismal outcome. Blood 2012; 119(9): 2114– 21 doi 10.1182/blood-2011-08-375758. 22186996 · DOI
  13. [18]Zhao Z, Zuber J, Diaz-Flores E, Lintault L, Kogan SC, Shannon K, p53 loss promotes acute myeloid leukemia by enabling aberrant self-renewal. Genes Dev 2010; 24(13): 1389– 402 doi 10.1101/gad.1940710. 20595231 PMC2895198 · DOI
  14. [19]Chen C, Liu Y, Rappaport AR, Kitzing T, Schultz N, Zhao Z, MLL3 is a haploinsufficient 7q tumor suppressor in acute myeloid leukemia. Cancer Cell 2014; 25(5): 652– 65 doi 10.1016/j.ccr.2014.03.016. 24794707 PMC4206212 · DOI
  15. [20]Zuber J, Radtke I, Pardee TS, Zhao Z, Rappaport AR, Luo W, Mouse models of human AML accurately predict chemotherapy response. Genes Dev 2009; 23(7): 877– 89 doi 10.1101/gad.1771409. 19339691 PMC2666344 · DOI
  16. [21]Ogilvy S, Elefanty AG, Visvader J, Bath ML, Harris AW, Adams JM. Transcriptional regulation of vav, a gene expressed throughout the hematopoietic compartment. Blood 1998; 91(2): 419– 30. 9427694
  17. [23]Hanel W, Marchenko N, Xu S, Yu SX, Weng W, Moll U. Two hot spot mutant p53 mouse models display differential gain of function in tumorigenesis. Cell Death Differ 2013; 20(7): 898– 909 doi 10.1038/cdd.2013.17. 23538418 PMC3679454 · DOI
  18. [24]Kuhn R, Schwenk F, Aguet M, Rajewsky K. Inducible gene targeting in mice. Science 1995; 269(5229): 1427– 9. 7660125
  19. [25]Liu Y, Chen C, Xu Z, Scuoppo C, Rillahan CD, Gao J, Deletions linked to TP53 loss drive cancer through p53-independent mechanisms. Nature 2016; 531(7595): 471– 5 doi 10.1038/nature17157. 26982726 PMC4836395 · DOI
  20. [26]Zuber J, McJunkin K, Fellmann C, Dow LE, Taylor MJ, Hannon GJ, Toolkit for evaluating genes required for proliferation and survival using tetracycline-regulated RNAi. Nat Biotechnol 2011; 29(1): 79– 83 doi 10.1038/nbt.1720. 21131983 PMC3394154 · DOI
  21. [27]Wang T, Yu H, Hughes NW, Liu B, Kendirli A, Klein K, Gene Essentiality Profiling Reveals Gene Networks and Synthetic Lethal Interactions with Oncogenic Ras. Cell 2017; 168(5): 890– 903 e15 doi 10.1016/j.cell.2017.01.013. 28162770 PMC5445660 · DOI · Paper page
  22. [28]Brummelkamp TR, Bernards R, Agami R. A system for stable expression of short interfering RNAs in mammalian cells. Science 2002; 296(5567): 550– 3 doi 10.1126/science.1068999. 11910072 · DOI
  23. [29]Weisz L, Oren M, Rotter V. Transcription regulation by mutant p53. Oncogene 2007; 26(15): 2202– 11 doi 10.1038/sj.onc.1210294. 17401429 · DOI
  24. [30]Pietras EM, Reynaud D, Kang YA, Carlin D, Calero-Nieto FJ, Leavitt AD, Functionally Distinct Subsets of Lineage-Biased Multipotent Progenitors Control Blood Production in Normal and Regenerative Conditions. Cell Stem Cell 2015; 17(1): 35– 46 doi 10.1016/j.stem.2015.05.003. 26095048 PMC4542150 · DOI · Paper page
  25. [31]Bagger FO, Kinalis S, Rapin N. BloodSpot: a database of healthy and malignant haematopoiesis updated with purified and single cell mRNA sequencing profiles. Nucleic Acids Res 2019; 47(D1): D881– D5 doi 10.1093/nar/gky1076. 30395307 PMC6323996 · DOI · Paper page
  26. [32]Passegue E, Jamieson CH, Ailles LE, Weissman IL. Normal and leukemic hematopoiesis: are leukemias a stem cell disorder or a reacquisition of stem cell characteristics? Proc Natl Acad Sci U S A 2003; 100 Suppl 1: 11842– 9 doi 10.1073/pnas.2034201100. 14504387 PMC304096 · DOI
  27. [33]Nowak D, Stewart D, Koeffler HP. Differentiation therapy of leukemia: 3 decades of development. Blood 2009; 113(16): 3655– 65 doi 10.1182/blood-2009-01-198911. 19221035 PMC2943835 · DOI · Paper page
  28. [34]Nakahata T, Ogawa M. Identification in culture of a class of hemopoietic colony-forming units with extensive capability to self-renew and generate multipotential hemopoietic colonies. Proc Natl Acad Sci U S A 1982; 79(12): 3843– 7. 6954527 PMC346524
  29. [35]Liu Y, Elf SE, Miyata Y, Sashida G, Liu Y, Huang G, p53 regulates hematopoietic stem cell quiescence. Cell Stem Cell 2009; 4(1): 37– 48 doi 10.1016/j.stem.2008.11.006. 19128791 PMC2839936 · DOI · Paper page
  30. [36]Matsuoka S, Ebihara Y, Xu M, Ishii T, Sugiyama D, Yoshino H, CD34 expression on long-term repopulating hematopoietic stem cells changes during developmental stages. Blood 2001; 97(2): 419– 25. 11154218
  31. [37]Moran-Crusio K, Reavie L, Shih A, Abdel-Wahab O, Ndiaye-Lobry D, Lobry C, Tet2 loss leads to increased hematopoietic stem cell self-renewal and myeloid transformation. Cancer Cell 2011; 20(1): 11– 24 doi 10.1016/j.ccr.2011.06.001. 21723200 PMC3194039 · DOI · Paper page
  32. [38]Challen GA, Sun D, Jeong M, Luo M, Jelinek J, Berg JS, Dnmt3a is essential for hematopoietic stem cell differentiation. Nat Genet 2011; 44(1): 23– 31 doi 10.1038/ng.1009. 22138693 PMC3637952 · DOI · Paper page
  33. [39]Seita J, Weissman IL. Hematopoietic stem cell: self-renewal versus differentiation. Wiley Interdiscip Rev Syst Biol Med 2010; 2(6): 640– 53 doi 10.1002/wsbm.86. 20890962 PMC2950323 · DOI
  34. [40]Muller PA, Vousden KH. p53 mutations in cancer. Nat Cell Biol 2013; 15(1): 2– 8 doi 10.1038/ncb2641. 23263379 · DOI · Paper page
  35. [41]Chiu WT, Charney Le R, Blitz IL, Fish MB, Li Y, Biesinger J, Genome-wide view of TGFbeta/Foxh1 regulation of the early mesendoderm program. Development 2014; 141(23): 4537– 47 doi 10.1242/dev.107227. 25359723 PMC4302925 · DOI
  36. [42]Attisano L, Silvestri C, Izzi L, Labbe E. The transcriptional role of Smads and FAST (FoxH1) in TGFbeta and activin signalling. Mol Cell Endocrinol 2001; 180(1–2): 3– 11. 11451566
  37. [43]Takahashi K, Tanabe K, Ohnuki M, Narita M, Sasaki A, Yamamoto M, Induction of pluripotency in human somatic cells via a transient state resembling primitive streak-like mesendoderm. Nat Commun 2014; 5: 3678 doi 10.1038/ncomms4678. 24759836 · DOI
  38. [44]Charney RM, Forouzmand E, Cho JS, Cheung J, Paraiso KD, Yasuoka Y, Foxh1 Occupies cis-Regulatory Modules Prior to Dynamic Transcription Factor Interactions Controlling the Mesendoderm Gene Program. Dev Cell 2017; 40(6): 595– 607 e4 doi 10.1016/j.devcel.2017.02.017. 28325473 PMC5434453 · DOI
  39. [45]Cerami E, Gao J, Dogrusoz U, Gross BE, Sumer SO, Aksoy BA, The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. Cancer Discov 2012; 2(5): 401– 4 doi 10.1158/2159-8290.CD-12-0095. 22588877 PMC3956037 · DOI · Paper page
  40. [46]Gao J, Aksoy BA, Dogrusoz U, Dresdner G, Gross B, Sumer SO, Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal. Sci Signal 2013; 6(269): pl1 doi 10.1126/scisignal.2004088. 23550210 PMC4160307 · DOI · Paper page
  41. [47]Spittau B, Krieglstein K. Klf10 and Klf11 as mediators of TGF-beta superfamily signaling. Cell Tissue Res 2012; 347(1): 65– 72 doi 10.1007/s00441-011-1186-6. 21574058 · DOI
  42. [48]Lee KS, Kim HJ, Li QL, Chi XZ, Ueta C, Komori T, Runx2 is a common target of transforming growth factor beta1 and bone morphogenetic protein 2, and cooperation between Runx2 and Smad5 induces osteoblast-specific gene expression in the pluripotent mesenchymal precursor cell line C2C12. Mol Cell Biol 2000; 20(23): 8783– 92. 11073979 PMC86511
  43. [49]Kuo YH, Zaidi SK, Gornostaeva S, Komori T, Stein GS, Castilla LH. Runx2 induces acute myeloid leukemia in cooperation with Cbfbeta-SMMHC in mice. Blood 2009; 113(14): 3323– 32 doi 10.1182/blood-2008-06-162248. 19179305 PMC2665897 · DOI
  44. [50]Schuler A, Schwieger M, Engelmann A, Weber K, Horn S, Muller U, The MADS transcription factor Mef2c is a pivotal modulator of myeloid cell fate. Blood 2008; 111(9): 4532– 41 doi 10.1182/blood-2007-10-116343. 18326819 · DOI
  45. [51]Giacomelli AO, Yang X, Lintner RE, McFarland JM, Duby M, Kim J, Mutational processes shape the landscape of TP53 mutations in human cancer. Nat Genet 2018 doi 10.1038/s41588-018-0204-y. PMC6168352 30224644 · DOI · Paper page
  46. [52]Kelly LM, Gilliland DG. Genetics of myeloid leukemias. Annu Rev Genomics Hum Genet 2002; 3: 179– 98 doi 10.1146/annurev.genom.3.032802.115046. 12194988 · DOI
  47. [53]Takahashi S Current findings for recurring mutations in acute myeloid leukemia. J Hematol Oncol 2011; 4: 36 doi 10.1186/1756-8722-4-36. 21917154 PMC3180439 · DOI
  48. [54]Armstrong SA, Staunton JE, Silverman LB, Pieters R, den Boer ML, Minden MD, MLL translocations specify a distinct gene expression profile that distinguishes a unique leukemia. Nat Genet 2002; 30(1): 41– 7 doi 10.1038/ng765. 11731795 · DOI
  49. [55]Somervaille TC, Cleary ML. Identification and characterization of leukemia stem cells in murine MLL-AF9 acute myeloid leukemia. Cancer Cell 2006; 10(4): 257– 68 doi 10.1016/j.ccr.2006.08.020. 17045204 · DOI · Paper page
  50. [56]Zuber J, Rappaport AR, Luo W, Wang E, Chen C, Vaseva AV, An integrated approach to dissecting oncogene addiction implicates a Myb-coordinated self-renewal program as essential for leukemia maintenance. Genes Dev 2011; 25(15): 1628– 40 doi 10.1101/gad.17269211. 21828272 PMC3182026 · DOI
  51. [57]Zhu J, Sammons MA, Donahue G, Dou Z, Vedadi M, Getlik M, Gain-of-function p53 mutants co-opt chromatin pathways to drive cancer growth. Nature 2015; 525(7568): 206– 11 doi 10.1038/nature15251. 26331536 PMC4568559 · DOI · Paper page
  52. [58]Di Agostino S, Strano S, Emiliozzi V, Zerbini V, Mottolese M, Sacchi A, Gain of function of mutant p53: the mutant p53/NF-Y protein complex reveals an aberrant transcriptional mechanism of cell cycle regulation. Cancer Cell 2006; 10(3): 191– 202 doi 10.1016/j.ccr.2006.08.013. 16959611 · DOI · Paper page
  53. [59]Do PM, Varanasi L, Fan S, Li C, Kubacka I, Newman V, Mutant p53 cooperates with ETS2 to promote etoposide resistance. Genes Dev 2012; 26(8): 830– 45 doi 10.1101/gad.181685.111. 22508727 PMC3337457 · DOI
  54. [60]Brennan J, Lu CC, Norris DP, Rodriguez TA, Beddington RS, Robertson EJ. Nodal signalling in the epiblast patterns the early mouse embryo. Nature 2001; 411(6840): 965– 9 doi 10.1038/35082103. 11418863 · DOI
  55. [61]Yamamoto M, Meno C, Sakai Y, Shiratori H, Mochida K, Ikawa Y, The transcription factor FoxH1 (FAST) mediates Nodal signaling during anterior-posterior patterning and node formation in the mouse. Genes Dev 2001; 15(10): 1242– 56 doi 10.1101/gad.883901. 11358868 PMC313795 · DOI
  56. [62]Vogelstein B, Papadopoulos N, Velculescu VE, Zhou S, Diaz LA Jr., Kinzler KW. Cancer genome landscapes. Science 2013; 339(6127): 1546– 58 doi 10.1126/science.1235122. 23539594 PMC3749880 · DOI · Paper page
  57. [63]Wong TN, Ramsingh G, Young AL, Miller CA, Touma W, Welch JS, Role of TP53 mutations in the origin and evolution of therapy-related acute myeloid leukaemia. Nature 2015; 518(7540): 552– 5 doi 10.1038/nature13968. 25487151 PMC4403236 · DOI · Paper page
  58. [64]Xie M, Lu C, Wang J, McLellan MD, Johnson KJ, Wendl MC, Age-related mutations associated with clonal hematopoietic expansion and malignancies. Nat Med 2014; 20(12): 1472– 8 doi 10.1038/nm.3733. 25326804 PMC4313872 · DOI · Paper page
  59. [66]Steensma DP, Bejar R, Jaiswal S, Lindsley RC, Sekeres MA, Hasserjian RP, Clonal hematopoiesis of indeterminate potential and its distinction from myelodysplastic syndromes. Blood 2015; 126(1): 9– 16 doi 10.1182/blood-2015-03-631747. 25931582 PMC4624443 · DOI · Paper page
  60. [67]Alexandrova EM, Yallowitz AR, Li D, Xu S, Schulz R, Proia DA, Improving survival by exploiting tumour dependence on stabilized mutant p53 for treatment. Nature 2015; 523(7560): 352– 6 doi 10.1038/nature14430. 26009011 PMC4506213 · DOI
  61. [68]Schulz-Heddergott R, Stark N, Edmunds SJ, Li J, Conradi LC, Bohnenberger H, Therapeutic Ablation of Gain-of-Function Mutant p53 in Colorectal Cancer Inhibits Stat3-Mediated Tumor Growth and Invasion. Cancer Cell 2018; 34(2): 298– 314 e7 doi 10.1016/j.ccell.2018.07.004. 30107178 PMC6582949 · DOI
  62. [69]Kotler E, Shani O, Goldfeld G, Lotan-Pompan M, Tarcic O, Gershoni A, A Systematic p53 Mutation Library Links Differential Functional Impact to Cancer Mutation Pattern and Evolutionary Conservation. Mol Cell 2018; 71(1): 178– 90 e8 doi 10.1016/j.molcel.2018.06.012. 29979965 · DOI
  63. [70]Morton JP, Timpson P, Karim SA, Ridgway RA, Athineos D, Doyle B, Mutant p53 drives metastasis and overcomes growth arrest/senescence in pancreatic cancer. Proc Natl Acad Sci U S A 2010; 107(1): 246– 51 doi 10.1073/pnas.0908428107. 20018721 PMC2806749 · DOI · Paper page
  64. [71]Lang GA, Iwakuma T, Suh YA, Liu G, Rao VA, Parant JM, Gain of function of a p53 hot spot mutation in a mouse model of Li-Fraumeni syndrome. Cell 2004; 119(6): 861– 72 doi 10.1016/j.cell.2004.11.006. 15607981 · DOI · Paper page
  65. [72]Shibue T, Weinberg RA. EMT, CSCs, and drug resistance: the mechanistic link and clinical implications. Nat Rev Clin Oncol 2017; 14(10): 611– 29 doi 10.1038/nrclinonc.2017.44. 28397828 PMC5720366 · DOI · Paper page
  66. [73]Mizuno H, Spike BT, Wahl GM, Levine AJ. Inactivation of p53 in breast cancers correlates with stem cell transcriptional signatures. Proc Natl Acad Sci U S A 2010; 107(52): 22745– 50 doi 10.1073/pnas.1017001108. 21149740 PMC3012457 · DOI
  67. [74]Ben-Porath I, Thomson MW, Carey VJ, Ge R, Bell GW, Regev A, An embryonic stem cell-like gene expression signature in poorly differentiated aggressive human tumors. Nat Genet 2008; 40(5): 499– 507 doi 10.1038/ng.127. 18443585 PMC2912221 · DOI
  68. [75]Morita S, Kojima T, Kitamura T. Plat-E: an efficient and stable system for transient packaging of retroviruses. Gene Ther 2000; 7(12): 1063– 6 doi 10.1038/sj.gt.3301206. 10871756 · DOI
  69. [76]Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 2014; 30(15): 2114– 20 doi 10.1093/bioinformatics/btu170. 24695404 PMC4103590 · DOI · Paper page
  70. [77]Dobin A, Davis CA, Schlesinger F, Drenkow J, Zaleski C, Jha S, STAR: ultrafast universal RNA-seq aligner. Bioinformatics 2013; 29(1): 15– 21 doi 10.1093/bioinformatics/bts635. 23104886 PMC3530905 · DOI · Paper page
  71. [78]Anders S, Pyl PT, Huber W. HTSeq--a Python framework to work with high-throughput sequencing data. Bioinformatics 2015; 31(2): 166– 9 doi 10.1093/bioinformatics/btu638. 25260700 PMC4287950 · DOI · Paper page
  72. [79]Rapin N, Bagger FO, Jendholm J, Mora-Jensen H, Krogh A, Kohlmann A, Comparing cancer vs normal gene expression profiles identifies new disease entities and common transcriptional programs in AML patients. Blood 2014; 123(6): 894– 904 doi 10.1182/blood-2013-02-485771. 24363398 · DOI
  73. [80]Fellmann C, Hoffmann T, Sridhar V, Hopfgartner B, Muhar M, Roth M, An optimized microRNA backbone for effective single-copy RNAi. Cell Rep 2013; 5(6): 1704– 13 doi 10.1016/j.celrep.2013.11.020. 24332856 · DOI
  74. [81]Banito A, Li X, Laporte AN, Roe JS, Sanchez-Vega F, Huang CH, The SS18-SSX Oncoprotein Hijacks KDM2B-PRC1.1 to Drive Synovial Sarcoma. Cancer Cell 2018; 33(3): 527– 41 e8 doi 10.1016/j.ccell.2018.01.018. 29502955 PMC5881394 · DOI

Cited by

Sorted by citations

Authors
Loizou, E., Banito, A., Livshits, G., Ho, Y.-J., Koche, R. P., Sánchez-Rivera, F. J., Mayle, A., Chen, C.-C., Kinalis, S., Bagger, F. O., Kastenhuber, E. R., Durham, B. H., & Lowe, S. W.
Affiliations
  • Memorial Sloan Kettering Cancer Center (US)
  • 1Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York.
  • University of Copenhagen (DK)
Corresponding author
Lowe, Scott W.
Venue
Cancer Discovery
Published
2019-07-01
Volume
9
Issue
7
Pages
962-979
ISSN
  • 2159-8274 (ISSN-L)
  • 2159-8290
OpenAlex
W2944511181
Cited by
88
References
7
Citations by year
2026: 7 · 2025: 12 · 2024: 12 · 2023: 15 · 2022: 12 · 2021: 9 · 2020: 15 · 2019: 6
FWCI
4.38
Type
journal article
Language
en
Open access
Locations
  • Cancer Discovery (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
HHS | NIH | National Cancer InstituteHHS | NIH | National Cancer Institute (NCI) (R01 CA190261, P30 CA008748)
Topics
  • Health Sciences › Medicine › Oncology › Cancer-related Molecular Pathways
  • Health Sciences › Medicine › Hematology › Acute Myeloid Leukemia Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Tyrosine Phosphatases
Keywords
FOXH1, myeloid leukemia, cell fate plasticity, hematopoietic stem and progenitor cells, self-renewal, pluripotency, oncogenes, disease maintenance
MeSH terms
Cell Plasticity, Gain of Function Mutation, Animals, Humans, Mice, Transgenic, Neoplastic Stem Cells, Leukemia, Myeloid, Acute, Tumor Suppressor Protein p53, Mice, SCID, Mice, Inbred NOD, Mice, Knockout, Gene Expression Profiling, Xenograft Model Antitumor Assays, Pluripotent Stem Cells, Cell Line, Tumor, Mice, Forkhead Transcription Factors

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review