Article in Cancer discovery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
0numbers the graph read from it
0cells of the map it votes in
4citing 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.
Ferran Fece de la Cruz *Massachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0003-2694-4838
Andreas Varkaris *Massachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0001-5776-8844
Parasvi S PatelMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-0326-7902
Elijah W KushnerMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, Massachusetts.ORCID 0009-0003-3533-9856
Alvin A Morales-GironMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, Massachusetts.ORCID 0009-0006-0534-2634
Sangmi Sandra LeeMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-0043-4269
Ankit SinghMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-6522-9223
Clara T KimMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, Massachusetts.ORCID 0009-0009-0655-274X
Bryanna L NordenMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0003-2084-473X
Sara EhnstromMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0001-8520-0789
Jakob M RiedlMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-5144-4715
Jacquelyn M CurtisMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, Massachusetts.ORCID 0009-0006-7828-9272
Haley BarnesMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0003-2190-8969
Allison M KehlmannMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, Massachusetts.ORCID 0009-0001-0246-4023
Nicholas J ChevalierMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, Massachusetts.ORCID 0009-0009-0116-8108
Hitomi S OkumaMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0001-9639-7361
Manisha PatelMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, Massachusetts.ORCID 0009-0008-4272-4353
Lori J WirthMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-2629-2289
Brendan ConnellDepartment of Hematology-Oncology, Lahey Hospital and Medical Center, Burlington, Massachusetts.ORCID 0000-0002-9155-5903
Francis NugentLahey Hospital and Medical Center , Tufts University School of Medicine, Burlington, Massachusetts.ORCID 0009-0002-3515-6905
Leontios PappasMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-0589-8265
Kayao LauMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, Massachusetts.ORCID 0009-0003-3894-3610
Dejan JuricMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0003-2983-7704
Jessica L HopkinsMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0003-1562-445X
Keelan Z GuileyDepartment of Cellular and Molecular Pharmacology, Howard Hughes Medical Institute, University of California, San Francisco, California.ORCID 0000-0002-8149-4262
Kevan M ShokatDepartment of Cellular and Molecular Pharmacology, Howard Hughes Medical Institute, University of California, San Francisco, California.ORCID 0000-0001-8590-7741
Doga C GulhanMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0001-5419-0549
Aparna R ParikhMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-5245-7841
Ryan B CorcoranMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0001-8173-5778
Funding
Cancer Moonshot (Misión contra el Cáncer) U54CA224068
6 · The paper itself
Abstract
The tumor-suppressor TP53 is the most frequently altered gene in cancer, and the Y220C hotspot, found in 1.8% of TP53-mutant tumors, creates a druggable cavity that destabilizes p53. Rezatapopt, a first-in-class, orally bioavailable reactivator of Y220C-mutant p53, has demonstrated promising initial efficacy in the phase 1/2 PYNNACLE trial. We report the first clinical mechanisms of resistance to this therapeutic class. Profiling of circulating tumor DNA, tumor biopsies, and rapid autopsy specimens upon rezatapopt progression revealed multiple heterogenous secondary TP53 alterations in cis with Y220C, including (i) DNA-binding domain mutations or frameshift/nonsense mutations that abolish transcriptional activity and (ii) mutations within the Y220C-binding surface predicted to hinder drug binding. Functional modeling confirmed that these double mutants eliminate p53 reactivation and target gene induction by rezatapopt. These findings establish a molecular framework for resistance to p53 Y220C reactivators and inform strategies to overcome resistance with next-generation agents. SIGNIFICANCE: This study illustrates how pan-cancer resistance to Y220C-mutant p53 reactivators emerges in patients, indicating that on-target acquired alterations can represent a major mechanism of clinical resistance. These insights establish a molecular basis for therapeutic failure and provide a framework for developing next-generation agents to overcome resistance. See related commentary by Liu and Gu, p. 620.
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.
Acquired On-Target Alterations Drive Clinical Resistance to p53-Y220C Reactivators. · full record | OpenQuestion