Evidence map›Paper›PMID 39738080›Full record

ArticleNature communications2024

Molecular correlates for HPV-negative head and neck cancer engraftment prognosticate patient outcomes.

Matthew Waas, Christina Karamboulas, Benson Z Wu, Shahbaz Khan, Stephanie Poon, Jalna Meens, Meinusha Govindarajan, Amanda Khoo, Salvador Mejia-Guerrero, Annie Ha and 9 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

19 authors.

Matthew WaasPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Christina KaramboulasPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Benson Z WuPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Shahbaz KhanPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Stephanie PoonPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Jalna MeensPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Meinusha GovindarajanPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Amanda KhooPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Salvador Mejia-GuerreroPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Annie HaPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Lydia Y LiuPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0001-6026-3169
Kevin C J NixonPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Joseph WaltonPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Scott V BratmanDepartment of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
Shao Hui HuangRadiation Medicine Program, Princess Margaret Cancer Centre, and Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-8072-4388
David GoldsteinDepartment of Otolaryngology-Head and Neck Surgery, Princess Margaret Cancer Centre, and University of Toronto, Toronto, ON, Canada.ORCID 0000-0001-9390-7928
Federico GaitiPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0001-5111-8816
Laurie AillesPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada. laurie.ailles@uhn.ca.ORCID 0000-0001-7289-8882
Thomas KislingerPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada. thomas.kislinger@utoronto.ca.ORCID 0000-0003-3525-5540

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a pressing need to improve risk stratification and treatment selection for HPV-negative head and neck squamous cell carcinoma (HNSCC) due to the adverse side effects of treatment. One of the most important prognostic features is lymph nodes involvement. Previously, we demonstrated that tumor formation in patient-derived xenografts (i.e. engraftment) was associated with poor clinical outcomes in patients with HPV-negative HNSCC. However, assessing engraftment is challenging in clinical settings. Here, we perform transcriptomic and proteomic profiling of 88 HNSCC patients and find the relationship between engraftment and clinical outcomes is recapitulated by molecular phenotype. We identify LAMC2 and TGM3 as candidate prognostic biomarkers and validated their utility in an independent cohort containing 404 HPV-negative HNSCC patients. Strikingly, these markers significantly improve prediction of outcomes beyond nodal status alone and can significantly stratify patients without any nodal involvement. Overall, our study demonstrates how the molecular characteristics of engraftment can inform patient prognostication.

Indexed as

Biomarkers, TumorHead and Neck NeoplasmsSquamous Cell Carcinoma of Head and NeckAgedAnimalsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMiceMiddle AgedPapillomaviridaePapillomavirus InfectionsPrognosisProteomicsBiomarkers, Tumor

Identifiers

PMID39738080
PMCPMC11686353

What OpenQuestion holds

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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.