Evidence map›Paper›PMID 41813916›Full record

ArticleCommunications medicine2026

A highly resolved integrated single-cell atlas of HPV-negative head and neck cancer.

Lina Kroehling, Andrew Chen, Anthony Spinella, Eric Reed, Maria Kukuruzinska, Xaralabos Varelas, Stefano Monti

Abstract read
In one paragraph

Article in Communications medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Lina KroehlingBioinformatics Program, Faculty of Computing and Data Science, Boston University, Boston, MA, USA.ORCID http://orcid.org/0000-0003-4996-7450
Andrew ChenBioinformatics Program, Faculty of Computing and Data Science, Boston University, Boston, MA, USA.ORCID http://orcid.org/0000-0002-8508-0227
Anthony SpinellaDepartment of Biochemistry and Cell Biology, Boston University Medical Center, Boston, MA, USA.ORCID http://orcid.org/0000-0001-9135-7643
Eric ReedDepartment of Medicine, Albert Einstein College of Medicine, New York, NY, USA.
Maria KukuruzinskaDepartment of Molecular and Cell Biology, Department of Translational Dental Medicine, Boston University Medical Center, Boston, MA, USA.ORCID http://orcid.org/0000-0001-5314-1454
Xaralabos VarelasDepartment of Biochemistry and Cell Biology, Boston University Medical Center, Boston, MA, USA.ORCID http://orcid.org/0000-0002-2882-4541
Stefano MontiBioinformatics Program, Faculty of Computing and Data Science, Boston University, Boston, MA, USA. smonti@bu.edu.ORCID http://orcid.org/0000-0002-9376-0660

Funding

Project-005UL1TR001430 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BAIR-MERRITT, MEGAN H, CENTER, DAVID M. · 2015 to 2024
$52.3M
Enhancement and Cloud Deployment of CaDrA, a software tool for Candidate Driver Analysis of Multiomics DataR01DE030350 · NIDCR · BOSTON UNIVERSITY MEDICAL CAMPUS · PI KUKURUZINSKA, MARIA A., MONTI, STEFANO · 2021 to 2025
$3.2M
Defining immune-evasive mechanical signaling in head and neck cancerR01DE033519 · NIDCR · BOSTON UNIVERSITY MEDICAL CAMPUS · PI MARIA A. KUKURUZINSKA, STEFANO MONTI · 2024 to 2026
$2.0M
System-Level Analyses of Multi-Omics Data to Reveal Mechanisms of Head & Neck CancerR01DE031831 · NIDCR · BOSTON UNIVERSITY MEDICAL CAMPUS · PI MONTI, STEFANO · 2022 to 2024
$1.3M
Elucidating mechanisms of cellular communication critical for head and neck cancer progression and metastasis.F31DE033292 · NIDCR · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI Lina Kroehling · 2023 to 2026
$131k
NCATS NIH HHS UL1 TR001430NIDCR NIH HHS F31 DE033292NIDCR NIH HHS R01 DE030350NIDCR NIH HHS R01 DE031831NIDCR NIH HHS R01 DE033519U.S. Department of Health & Human Services | NIH | National Institute of Dental and Craniofacial Research (NIDCR) 1F31DE033292-01U.S. Department of Health & Human Services | NIH | National Institute of Dental and Craniofacial Research (NIDCR) R01DE031831U.S. Department of Health & Human Services | NIH | National Institute of Dental and Craniofacial Research (NIDCR) R01DE033519
6 · The paper itself

Abstract

backgroundHead and Neck Squamous Cell Carcinomas (HNSCC) are the seventh most prevalent form of cancer and are associated with human papilloma virus infection (HPV-positive) or with tobacco and alcohol use (HPV-negative). HPV-negative HNSCCs have a high recurrence rate, and individual patients' responses to treatment vary greatly due to the high level of cellular heterogeneity of the tumor and its microenvironment.

methodsHere, we describe a HPV-negative HNSCC single cell atlas, which we created by integrating six publicly available datasets encompassing over 230,000 cells across 54 patients. We classify cell types, subpopulations, and their expression programs in the immune, mesenchymal, endothelial and epithelial compartments. We interrogate the relationship between cell types through hierarchical clustering, cell-cell communication analysis and correlating populations changing together across patients.

resultsWe resolve the myeloid and fibroblast compartments, revealing an IL1B+ myeloid population previously unexplored in HNSCC and clarifying two immune cancer associated fibroblast populations that are frequently conflated, identify sex-associated changes in cell type proportions, and a unique interaction between CXCL8-positive fibroblasts and vascular endothelial cells.

conclusionsWe utilize the atlas to contextualize the relationships between existing signatures and cell populations, harmonize nomenclature across studies, and show the power of this large-scale resource to robustly identify associations between transcriptional signatures and clinical phenotypes that would not be possible to discover using fewer patients. Beyond our findings, the atlas serves as a public resource for the high-resolution characterization of tumor heterogeneity of HPV-negative HNSCC.

Identifiers

PMID41813916
PMCPMC12979816

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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.