In one paragraphArticle in Cancer research, 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 itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
32 authors.
Srushti Kittane *Department of Biochemistry and Molecular Biology, Johns Hopkins School of Public Health, Baltimore, Maryland.ORCID 0000-0001-8776-2195 Erik Ladewig *Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-6661-1803 Jillian R Love *Swiss Institute for Experimental Cancer Research (ISREC), School of Life Sciences, EPFL, Lausanne, Switzerland.ORCID 0009-0002-7773-067X Ryan Blawski *Sidney Kimmel Comprehensive Cancer Center and Department of Oncology, Johns Hopkins University, Baltimore, Maryland.ORCID 0000-0002-3719-8343 Yangzhenyu Gao *Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.ORCID 0009-0009-5267-0122 Amaia Arruabarrena-AristorenaDepartment of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country UPV/EHU, Bilbao, Spain.ORCID 0000-0002-1636-3944 Susan L DalrympleSidney Kimmel Comprehensive Cancer Center and Department of Oncology, Johns Hopkins University, Baltimore, Maryland.ORCID 0000-0003-1330-1964 Xinyu GuoDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.ORCID 0000-0001-7309-566X Mirna SallakuHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0009-0009-2346-4434 Nachiket KelkarDepartment of Biochemistry and Molecular Biology, Johns Hopkins School of Public Health, Baltimore, Maryland.ORCID 0000-0003-2235-665X Javier Carmona SanzHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-7904-8493 Wanlu ChenDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.ORCID 0009-0006-0050-7364 Candice StoudmannSwiss Institute for Experimental Cancer Research (ISREC), School of Life Sciences, EPFL, Lausanne, Switzerland.ORCID 0009-0004-3920-4518 Laura BaldinoHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0009-0003-5930-4842 Milad Razavi-MohseniDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland.ORCID 0000-0002-6052-3159 Ingrid KalemiSidney Kimmel Comprehensive Cancer Center and Department of Oncology, Johns Hopkins University, Baltimore, Maryland.ORCID 0009-0009-0703-6624 Pau CastelDepartment of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, New York, New York.ORCID 0000-0002-4972-4347 W Nathaniel BrennenSidney Kimmel Comprehensive Cancer Center and Department of Oncology, Johns Hopkins University, Baltimore, Maryland.ORCID 0000-0001-9807-7433 Emiliano CoccoDepartment of Biochemistry and Molecular Biology, University of Miami, Miller School of Medicine, Miami, Florida.ORCID 0000-0002-1397-2656 Hongkai JiDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.ORCID 0000-0002-6480-0141 Christina S LeslieComputational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-4571-5910 Wouter R KarthausSwiss Institute for Experimental Cancer Research (ISREC), School of Life Sciences, EPFL, Lausanne, Switzerland.ORCID 0000-0002-9234-9044 Eneda ToskaDepartment of Biochemistry and Molecular Biology, Johns Hopkins School of Public Health, Baltimore, Maryland.ORCID 0000-0002-8974-9792 Funding
X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4MA First-in-Class FAP-activated Protoxin to disrupt the Tumor-Stroma Parasitic Cycle fueling lethal Prostate Cancer ProgressionR01CA255259 · NCI · JOHNS HOPKINS UNIVERSITY · PI BRENNEN, WILLIAM NATHANIEL · 2021 to 2025
$2.1MSequence-based Machine Learning for Inference of Dynamic Cell State Gene Network ModelsR01HG012367 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI BEER, MICHAEL A · 2022 to 2025
$1.8MMechanisms of RING1B and PRC1 complexes in transcriptional activationR01GM141349 · NIGMS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Lluis Morey · 2022 to 2026
$1.6MMechanisms by which histone methyltransferases regulate nuclear receptor activity and response to therapy in hormone-driven tumors.R01CA276187 · NCI · JOHNS HOPKINS UNIVERSITY · PI Eneda Toska · 2023 to 2026
$1.5MEpigenetic dependencies and vulnerabilities in endocrine-resistant breast cancerR01CA288742 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Lluis Morey · 2025 to 2026
$892kMechanisms of epigenetic regulation of estrogen receptor function in breast cancerK22CA245487 · NCI · JOHNS HOPKINS UNIVERSITY · PI TOSKA, ENEDA · 2021 to 2023
$527kElucidating the role of the SWI/SNF complex in mediating hormone therapy resistance in breast cancerR21CA252530 · NCI · JOHNS HOPKINS UNIVERSITY · PI TOSKA, ENEDA · 2021 to 2022
$438kResistance and Evolution of Metastatic Breast CancerK00CA212478 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI LADEWIG, ERIK · 2018 to 2021
$369kBreast Cancer Research Foundation (BCRF)Jayne Koskinas Ted Giovanis Foundation for Health and Policy (JKTG)National Cancer Institute (NCI) K00CA212478National Cancer Institute (NCI) K22CA245487National Cancer Institute (NCI) R01CA276187National Cancer Institute (NCI) R01CA288742-01National Cancer Institute (NCI) R21CA252530National Human Genome Research Institute (NHGRI) R01HG012367National Institute of General Medical Sciences (NIGMS) R01GM141349NCI NIH HHS K00 CA212478NCI NIH HHS K22 CA245487NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA255259NCI NIH HHS R01 CA276187NCI NIH HHS R01 CA288742NCI NIH HHS R21 CA252530NHGRI NIH HHS R01 HG012367NIGMS NIH HHS R01 GM141349
6 · The paper itselfAbstract
Castration-resistant prostate cancer (CRPC) is largely dependent on the androgen receptor (AR) for growth and often exhibits hyperactive PI3K signaling, most frequently because of PTEN loss. Therapeutic pressure from anti-AR therapies can induce transdifferentiation toward an AR-independent phenotype. Recently, different subtypes of AR-independent CRPC have been redefined, with the stem cell-like (SCL) subtype emerging as one of the most prevalent. Elucidation of the epigenetic mechanisms controlling the maintenance of these distinct CRPC cell states could pave the way for effective combinatorial therapies for CRPC. In this study, we identified a key role for the histone methyltransferase KMT2D in establishing the chromatin competence necessary for the recruitment of AR and FOXA1 transcription factors (TF) that are essential for the AR transcriptional output in AR-dependent CRPC cell lines, patient-derived organoids, and patient samples. Unexpectedly, KMT2D maintained the identity of the AR-low CRPC-SCL subtype and controlled activity of AP-1 TFs such as FOSL1, which acts as a master regulator of this subtype. Single-cell transcriptomics and chromatin assays underscored the role of KMT2D in sustaining a mixed lineage cell state via AP-1 and FOXA1. The combined suppression of PI3K/AKT and KMT2D reduced cell proliferation in prostate cancer cells and patient-derived organoids in both CRPC-AR and CRPC-SCL subtypes. Altogether, these results unveil KMT2D as a major mediator of the epigenetic landscape in subtype-specific CRPC, contributing to tumor growth and therapeutic response. SIGNIFICANCE: KMT2D is a critical regulator of chromatin accessibility and transcriptional landscapes in castration-resistant prostate cancer that drives both AR-dependent and AR-independent subtypes, highlighting KMT2D as a potential therapeutic target.
Indexed as
DNA-Binding ProteinsHistone-Lysine N-MethyltransferaseNeoplasm ProteinsProstatic Neoplasms, Castration-ResistantAnimalsCell LineageCell Line, TumorEpigenesis, GeneticGene Expression Regulation, NeoplasticHepatocyte Nuclear Factor 3-alphaHumansMaleMiceReceptors, AndrogenSignal TransductionAR protein, humanDNA-Binding ProteinsFOXA1 protein, humanHepatocyte Nuclear Factor 3-alphaHistone-Lysine N-MethyltransferaseKMT2D protein, humanNeoplasm ProteinsReceptors, Androgen
Identifiers
PMID41379538
PMCPMC12900249
What Socratic holds
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