Evidence map›Paper›PMID 40996827›Full record

Observational studyThe Journal of clinical investigation2025

Personalized treatment in HPV+ oropharynx cancer using genomic adjusted radiation dose.

Emily Ho, Loris De Cecco, Steven A Eschrich, Stefano Cavalieri, Geoffrey Sedor, Frank Hoebers, Ruud H Brakenhoff, Kathrin Scheckenbach, Tito Poli, Kailin Yang and 14 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in The Journal of clinical investigation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. 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.

Emily HoDepartment of Genomic Medicine, Cleveland Clinic Research, Cleveland, Ohio, USA.
Loris De CeccoIntegrated Biology of Rare Tumors, Experimental Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Steven A EschrichDepartment of Biostatistics and Biomedical Informatics, Moffitt Cancer Center, Tampa, Florida, USA.
Stefano CavalieriHead and Neck Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Geoffrey SedorRadiation Oncology Department, NewYork-Presbyterian Hospital/Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.
Frank HoebersDepartment of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, Netherlands.
Ruud H BrakenhoffAmsterdam UMC, Vrije Universiteit Amsterdam, Otolaryngology/Head and Neck Surgery, Cancer Center Amsterdam, Amsterdam, Netherlands.
Kathrin ScheckenbachDepartment of Otolaryngology, Medical Faculty, Heinrich Heine University Dusseldorf, Dusseldorf, Germany.
Tito PoliUnit of Maxillofacial Surgery, Department of Medicine and Surgery, University of Parma-University Hospital of Parma, Parma, Italy.
Kailin YangDepartment of Radiation Oncology, Holden Comprehensive Cancer Center, University of Iowa, Iowa City, Iowa, USA.
Jessica A ScarboroughDepartment of Genomic Medicine, Cleveland Clinic Research, Cleveland, Ohio, USA.
Shivani NelloreDepartment of Genomic Medicine, Cleveland Clinic Research, Cleveland, Ohio, USA.
Shauna CampbellDepartment of Radiation Oncology, and.
Neil WoodyDepartment of Radiation Oncology, and.
Tim ChanDepartment of Radiation Oncology, and.
Jacob MillerDepartment of Radiation Oncology, and.
Natalie SilverCenter for Immunotherapy and Precision Immuno-Oncology, Cleveland Clinic, Cleveland, Ohio, USA.
Shlomo KoyfmanDepartment of Radiation Oncology, and.
James BatesDepartment of Radiation Oncology, Emory University, Atlanta, Georgia, USA.
Jimmy J CaudellDepartment of Radiation Oncology, Moffitt Cancer Center, Tampa, Florida, USA.
Michael W KattanDepartment of Quantitative Health Sciences, Cleveland Clinic, Cleveland Ohio, USA.
Lisa LicitraHead and Neck Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Javier F Torres-RocaDepartment of Biostatistics and Biomedical Informatics, Moffitt Cancer Center, Tampa, Florida, USA.
Jacob G ScottDepartment of Genomic Medicine, Cleveland Clinic Research, Cleveland, Ohio, USA.

Funding

Translational and Clinical Trial Correlates CoreU54CA274513 · NCI · CLEVELAND CLINIC LERNER COM-CWRU · PI Claudia Marcela Diaz-Montero · 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
CAPRI: Columbia Cancer Research Training Program for Resident-InvestigatorsR38CA277850 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Katherine D Crew, Lisa A. Kachnic · 2024 to 2026
$1.6M
NCI NIH HHS R37 CA244613NCI NIH HHS R38 CA277850NCI NIH HHS U54 CA274513
6 · The paper itself

Abstract

BACKGROUNDA key objective in managing HPV+ oropharyngeal squamous cell carcinoma (OPSCC) is reducing radiation therapy (RT) doses without compromising cure rates. A recent phase II/III HN005 trial revealed that clinical factors alone are insufficient to guide safe RT dose de-escalation. Our prior research demonstrated that the genomic adjusted radiation dose (GARD) predicts RT benefit and may inform dose selection. We hypothesize that GARD can guide personalized RT de-escalation in HPV+ OPSCC patients.METHODSGene expression profiles were analyzed in 191 HPV+ OPSCC patients enrolled in an international, multi-institutional observational study (AJCC Eighth Edition, stages I-III). Most patients received 70 Gy in 35 fractions or 69.96 Gy in 33 fractions (median dose: 70 Gy; range: 51.0-74.0 Gy). Overall survival (OS) was 94.1% at 36 months and 87.3% at 60 months. A Cox proportional hazards model assessed association between GARD and OS, and time-dependent receiver operating characteristic analyses compared GARD with traditional clinical predictors.RESULTSDespite uniform RT dosing, GARD showed wide heterogeneity, ranging from 15.4 to 71.7. Higher GARD values were significantly associated with improved OS in univariate (HR = 0.941, P = 0.041) and multivariable analyses (HR = 0.943, P = 0.046), while T and N stages were not. GARD demonstrated superior predictive performance at 36 months (AUC = 78.26) versus clinical variables (AUC = 71.20). Two GARD-based RT de-escalation strategies were identified, offering potential survival benefits while reducing radiation exposure.CONCLUSIONGARD predicts OS and outperforms clinical variables, supporting its integration into the diagnostic workflow for personalized RT in HPV+ OPSCC.FUNDINGThis work was supported by the National Cancer Institute through the Cleveland Clinic/Emory ROBIN center (U54-CA274513, project 2), the European Union Horizon 2020 Framework Programme (grant/award 689715), the Italian Association for Cancer Research (AIRC project ID 23573), and the European Research Area Network ERA PerMed JTC2019/Fondazione Regionale per la Ricerca Biomedica project SuPerTreat (Supporting Personalized Treatment Decisions in Head and Neck Cancer through Big Data).

Indexed as

Oropharyngeal NeoplasmsPapillomavirus InfectionsPrecision MedicineSquamous Cell Carcinoma of Head and NeckAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedBiomarkersClinical ResearchHead and neck cancerOncologyRadiation therapy

Identifiers

PMID40996827
PMCPMC12483556

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Registered trials

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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.