Evidence map›Paper›PMID 40826166›Full record

ArticleNPJ precision oncology2025

Synergistic effect of MDM2 inhibitors and radiotherapy in endometrial cancer.

Roberto Vargas, Aaron Petty, Daniel J Lindner, Yvonne Parker, Brian Yard, Arda Durmaz, Kristi Lin-Rahardja, Ofer Reizes, Robert Debernardo, Jacob Scott

Abstract read
In one paragraph

Article in NPJ precision oncology, 2025. 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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

10 authors.

Roberto VargasDivision of Gynecologic Oncology, Obstetrics and Gynecology Institute, The Cleveland Clinic, Cleveland, OH, USA. vargasr@ccf.org.
Aaron PettyDepartment of Translational Hematology and Oncology Research, Lerner Research Institute, The Cleveland Clinic, Cleveland, OH, USA.
Daniel J LindnerDepartment of Translational Hematology and Oncology Research, Lerner Research Institute, The Cleveland Clinic, Cleveland, OH, USA.
Yvonne ParkerDepartment of Translational Hematology and Oncology Research, Lerner Research Institute, The Cleveland Clinic, Cleveland, OH, USA.
Brian YardDepartment of Translational Hematology and Oncology Research, Lerner Research Institute, The Cleveland Clinic, Cleveland, OH, USA.
Arda DurmazDepartment of Translational Hematology and Oncology Research, Lerner Research Institute, The Cleveland Clinic, Cleveland, OH, USA.
Kristi Lin-RahardjaDepartment of Translational Hematology and Oncology Research, Lerner Research Institute, The Cleveland Clinic, Cleveland, OH, USA.
Ofer ReizesDepartment of Cellular and Molecular Medicine, Lerner Research Institute, The Cleveland Clinic, Cleveland, OH, USA.
Robert DebernardoDivision of Gynecologic Oncology, Obstetrics and Gynecology Institute, The Cleveland Clinic, Cleveland, OH, USA.
Jacob ScottDepartment of Translational Hematology and Oncology Research, Lerner Research Institute, The Cleveland Clinic, Cleveland, OH, USA. scottj10@ccf.org.

Funding

TUMOR METABOLISM PROGRAMP30CA043703 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI Amar Desai · 1987 to 2026
$142.3M
TRANSLATIONAL RESEARCH ONCOLOGY TRAINING GRANTK12CA076917 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI GERSON, STANTON L. · 1997 to 2022
$14.2M
Translational and Clinical Trial Correlates CoreU54CA274513 · NCI · CLEVELAND CLINIC LERNER COM-CWRU · PI Timothy An-thy Chan · 2022 to 2026
$9.3M
Exploiting Ecology and Evolution to Prevent Therapy Resistance in EGFR-Driven Lung CancerR37CA244613 · NCI · CLEVELAND CLINIC LERNER COM-CWRU · PI Jacob Gardinier Scott · 2020 to 2026
$4.0M
Extending experimental evolutionary game theory in cancer in vivo to enable clinical translation: integrating spatio-temporal dynamics using mathematical modelingU01CA280829 · NCI · CLEVELAND CLINIC LERNER COM-CWRU · PI Andriy Marusyk, Jacob Gardinier Scott · 2023 to 2026
$2.6M
American Association for Cancer Research 22-20-01-VARGAmerican Cancer Society 132691-RSG-20-096NCI NIH HHS K12 CA076917NCI NIH HHS K12CA076917NCI NIH HHS P30 CA043703NCI NIH HHS R37 CA244613NCI NIH HHS R37CA244613NCI NIH HHS U01 CA280829NCI NIH HHS U54 CA274513
6 · The paper itself

Abstract

Endometrial cancer (EC) is the most common type of gynecologic malignancy in the United States, with over 69,120 new cases expected in 2025. The total number of mortalities surpasses that of ovarian cancer. Despite our ability to identify different biological clusters of EC, we have yet to understand the functional impact of key genomic alterations associated with varying prognoses and exploit this knowledge for therapeutic benefits. Our overarching goal is to understand how genomic alterations impact radiotherapy response in EC, and whether manipulation of these signaling pathways could be utilized as a radio-sensitization strategy. Given that TP53-mutated ECs portend the worst prognoses and seem to benefit from escalation of therapy above that of radiotherapy alone, we first focused our attention on understanding the impact of this genomic aberration on radiation response. Using high-throughput in vitro profiling, genomic manipulation, and in vivo studies, we demonstrated that p53 signaling plays a significant role in the radiotherapy response in EC, thus providing a biological rationale for observed clinical trial findings. We also leveraged this same finding to test a therapeutic approach driving p53/p21 signaling using murine double minute-2 (MDM2) inhibitors, subsequently demonstrating synergism with radiation. Thus, MDM2 inhibitors could be considered as a novel radiosensitizing approach for EC.

Identifiers

PMID40826166
PMCPMC12361404

What Socratic 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 Socratic graph.