Evidence map›Paper›PMID 41904511›Full record

ArticleMolecular cancer2026

[

Stefan Stoiber, Daniel Pölöske, Clemens P Spielvogel, Elisabeth Gurnhofer, Michaela Schlederer, David Haberl, Cécile Philippe, Dominik P Elmer, Richard Morrigl, Heidi A Neubauer and 13 more

Abstract read
In one paragraph

Article in Molecular cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

23 authors.

Stefan StoiberDepartment of Pathology, Medical University of Vienna, Vienna, Austria. stefan.stoiber@meduniwien.ac.at.
Daniel PölöskeDepartment of Pathology, Medical University of Vienna, Vienna, Austria.
Clemens P SpielvogelChristian Doppler Laboratory for Applied Metabolomics (CDL-AM), Medical University of Vienna, Vienna, Austria.
Elisabeth GurnhoferDepartment of Pathology, Medical University of Vienna, Vienna, Austria.
Michaela SchledererDepartment of Pathology, Medical University of Vienna, Vienna, Austria.
David HaberlChristian Doppler Laboratory for Applied Metabolomics (CDL-AM), Medical University of Vienna, Vienna, Austria.
Cécile PhilippeDepartment of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria.
Dominik P ElmerDepartment of Biosciences and Medical Biology, Paris-Lodron University of Salzburg, Salzburg, Austria.
Richard MorriglDepartment of Biosciences and Medical Biology, Paris-Lodron University of Salzburg, Salzburg, Austria.
Heidi A NeubauerCentre for Biological Sciences, University of Veterinary Medicine, Vienna, Austria.
Vojtěch BystrýCentral European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic.
Karolína TrachtováCentral European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic.
Hanne VerswyvelCenter for Oncological Research (CORE), Integrated Personalized & Precision Oncology Network (IPPON), University of Antwerp, Wilrijk, Belgium.
Hannah ZaryouhCenter for Oncological Research (CORE), Integrated Personalized & Precision Oncology Network (IPPON), University of Antwerp, Wilrijk, Belgium.
Abraham LinCenter for Oncological Research (CORE), Integrated Personalized & Precision Oncology Network (IPPON), University of Antwerp, Wilrijk, Belgium.
Christophe DebenCenter for Oncological Research (CORE), Integrated Personalized & Precision Oncology Network (IPPON), University of Antwerp, Wilrijk, Belgium.
Gregor HeiduschkaDepartment of Otorhinolaryngology, Head and Neck Surgery, Medical University of Vienna, Vienna, Austria.
Maik DahlhoffInstitute of in Vivo and in Vitro Models, University of Veterinary Medicine, Vienna, Austria.
Fritz AbergerDepartment of Biosciences and Medical Biology, Center for Tumor Biology and Immunology, Cancer Cluster Salzburg, Paris-Lodron University of Salzburg, Salzburg, Austria.
Daniel SchramekLunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Canada.
Marcus HackerDepartment of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria.
Alexander R HaugChristian Doppler Laboratory for Applied Metabolomics (CDL-AM), Medical University of Vienna, Vienna, Austria.
Lukas KennerDepartment of Pathology, Medical University of Vienna, Vienna, Austria. lukas.kenner@meduniwien.ac.at.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Head and neck squamous cell carcinoma (HNSCC) is a highly heterogeneous malignancy with limited predictive markers to guide personalized treatment, particularly in human papillomavirus (HPV)-negative cases, which exhibit poor outcomes. Identifying reliable biomarkers for prognosis and therapeutic response remains a critical challenge. In a retrospective cohort of 51 patients with primary HPV-negative HNSCC, we investigated the prognostic significance of the Hedgehog (HH) signaling pathway and its association with imaging biomarkers. Genomic and transcriptomic analysis revealed that HH pathway activation correlated with distinct [18F]FDG PET/CT radiomic features, notably the PET-derived “histogram:ih.max”, a surrogate for peak [18F]FDG uptake that was associated with inferior survival outcomes. Functionally, pharmacologic inhibition of HH signaling demonstrated anticancer efficacy across multiple models, including HNSCC cell lines, patient-derived tumoroids, and in vivo xenograft models. Importantly, HH pathway inhibition induced reproducible changes in imaging characteristics in xenografts, including a measurable reduction in [1⁸F]FDG uptake, closely mirroring patterns observed in patient tumors. Together these findings demonstrate that integration of multi-level molecular profiling with functional imaging captures HH-driven tumor biology in HPV-negative HNSCC. Our study underscores the value of [18F]FDG PET/CT multiomics in linking tumor biology with imaging features, providing a framework for biologically-informed patient stratification and hypothesis-driven evaluation of treatment response. These results support further translational validation of HH pathway inhibition in HPV-negative HNSCC within appropriately designed preclinical and clinical studies.

Indexed as

Fluorodeoxyglucose F18Head and Neck NeoplasmsHedgehog ProteinsPositron Emission Tomography Computed TomographySquamous Cell Carcinoma of Head and NeckAnimalsCell Line, TumorFemaleHuman Papillomavirus VirusesHumansMaleMiceMiddle AgedMultiomicsPrognosisSignal TransductionFluorodeoxyglucose F18Hedgehog ProteinsCancer stem cellsClinical imagingGLI1Head and neck squamous cell carcinomaHedgehogHNSCCPrecision medicineRadiomicsWhole exome sequencing

Identifiers

PMID41904511
PMCPMC13130424

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.