Evidence map›Paper›PMID 39856363›Full record

ArticleClinical and translational medicine2025

Functional genomics pipeline identifies CRL4 inhibition for the treatment of ovarian cancer.

Sally E Claridge, Shalini Nath, Anneliese Baum, Richard Farias, Julie-Ann Cavallo, Nile M Rizvi, Lamberto De Boni, Eric Park, Genesis Lara Granados, Matthew Hauesgen and 14 more

Abstract read
In one paragraph

Article in Clinical and translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Ubiquitination in cancer: mechanisms and therapeutic opportunities.Cancer communications (London, England) · 2025
    Review
  3. Article
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

24 authors.

Sally E ClaridgeDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, New York, USA.ORCID 0000-0002-2539-0178
Shalini NathDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, New York, USA.
Anneliese BaumDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Richard FariasDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Julie-Ann CavalloDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Nile M RizviDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Lamberto De BoniDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, New York, USA.
Eric ParkDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Genesis Lara GranadosDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Matthew HauesgenDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Ruben Fernandez-RodriguezDepartment of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Eda Nur KozanEnglander Institute for Precision Medicine, Weill Cornell Medicine, New York Presbyterian Hospital, New York, New York, USA.
Evgeny KanshinDepartment of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, New York, USA.
Khoi Q HuynhDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Peng-Jen ChenDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Kenneth WuDepartment of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Beatrix UeberheideDepartment of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, New York, USA.
Juan Miguel MosqueraEnglander Institute for Precision Medicine, Weill Cornell Medicine, New York Presbyterian Hospital, New York, New York, USA.
Fred R HirschTisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Robert J DeVitaProteomics Laboratory, New York University School of Medicine, New York, New York, USA.
Olivier ElementoEnglander Institute for Precision Medicine, Weill Cornell Medicine, New York Presbyterian Hospital, New York, New York, USA.
Chantal PauliDepartment of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.
Zhen-Qiang PanDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Benjamin D HopkinsDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, New York, USA.

Funding

TRAINING PROGRAM IN CANCER THERAPYT32CA078207 · NCI · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI James J Manfredi · 1999 to 2026
$11.6M
Modulate Cullin-RING E3 ubiquitin ligases by small molecule agentsR01CA251425 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DEVITA, ROBERT J, PAN, ZHEN-QIANG · 2020 to 2024
$3.5M
Utilizing Precision Medicine to elucidate the mechanisms underpinning treatment efficacyR00CA230384 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HOPKINS, BENJAMIN D. · 2019 to 2021
$718k
Utilizing Precision Medicine to elucidate the mechanisms underpinning treatment efficacyK99CA230384 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI HOPKINS, BENJAMIN D. · 2018 to 2018
$108k
National Cancer Institute of the National Institutes of Health 5T32CA078207-22National Cancer Institute of the National Institutes of Health CA230384-03National Cancer Institute of the National Institutes of Health CA251425NCI NIH HHS K99 CA230384NCI NIH HHS R00 CA230384NCI NIH HHS R01 CA251425NCI NIH HHS T32 CA078207
6 · The paper itself

Abstract

backgroundThe goal of precision oncology is to find effective therapeutics for every patient. Through the inclusion of emerging therapeutics in a high-throughput drug screening platform, our functional genomics pipeline inverts the common paradigm to identify patient populations that are likely to benefit from novel therapeutic strategies. APPROACH: Utilizing drug screening data across a panel of 46 cancer cell lines from 11 tumor lineages, we identified an ovarian cancer-specific sensitivity to the first-in-class CRL4 inhibitors KH-4-43 and 33-11. CRL4 (i.e., Cullin-4 RING E3 ubiquitin ligase) is known to be dysregulated in a variety of cancer contexts, making it an attractive therapeutic target. Unlike proteasome inhibitors that are associated with broad toxicity, CRL4 inhibition offers the potential for tumor-specific effects.

resultsWe observed that CRL4 inhibition negatively regulates core gene signatures that are upregulated in ovarian tumors and significantly slowed tumor growth as compared to the standard of care, cisplatin, in OVCAR8 xenografts. Building on this, we performed combination drug screening in conjunction with proteomic and transcriptomic profiling to identify ways to improve the antitumor effects of CRL4 inhibition in ovarian cancer models. CRL4 inhibition consistently resulted in activation of the mitogen-activated protein kinase (MAPK) signaling cascade at both the transcriptomic and protein levels, suggesting that survival signaling is induced in response to CRL4 inhibition. These observations were concordant with the results of the combination drug screens in seven ovarian cancer cell lines that showed CRL4 inhibition cooperates with MEK inhibition. Preclinical studies in OVCAR8 and A2780 xenografts confirmed the therapeutic potential of the combination of KH-4-43 and trametinib, which extended overall survival and slowed tumor progression relative to either single agent or the standard of care.

conclusionsTogether, these data demonstrate the prospective utility of functional modeling pipelines for therapeutic development and underscore the clinical potential of CRL4 inhibition in the ovarian cancer context. HIGHLIGHTS: A precision medicine pipeline identifies ovarian cancer sensitivity to CRL4 inhibitors. CRL4 inhibition induces activation of MAPK signalling as identified by RNA sequencing, proteomics, and phosphoproteomics. Inhibitor combinations that target both CRL4 and this CRL4 inhibitor-induced survival signalling enhance ovarian cancer sensitivity to treatment.

Indexed as

GenomicsOvarian NeoplasmsAnimalsAntineoplastic AgentsCell Line, TumorFemaleHumansMiceXenograft Model Antitumor AssaysAntineoplastic AgentsCRL4functional genomicsovarian cancerprecision oncology

Identifiers

PMID39856363
PMCPMC11761363

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.