ArticleCancers2021
Single-Cell Deconvolution of Head and Neck Squamous Cell Carcinoma.
Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
What it found
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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.
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.
Who cites it
28 citing papers in PubMed.
- Long-term Survival and Molecular Biomarker Evaluation of a Phase II Cetuximab and Nivolumab Clinical Trial in Recurrent/Metastatic Head and Neck Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026Trial
- IGF2BP3 promotes immune evasion and predicts poor prognosis in head and neck squamous cell carcinoma.Translational cancer research · 2026Article
- Integration of Bulk and Single-Cell RNA Sequencing Analyses in Biomedicine.International journal of molecular sciences · 2026Review
- Molecular remodeling of cancer-associated fibroblasts in breast cancer patients receiving anti-PD-1 immunotherapy.Frontiers in oncology · 2026Article
- A pan-cancer comparative analysis of the cancer genome atlas transcriptomic TIL-immune signatures.Cancer immunology, immunotherapy : CII · 2025Article
- An energy metabolism-related signature relevant to the tumor immune microenvironment in HNSCC.Discover oncology · 2025Article
- Tumor cell-derived ISG15 promotes fibroblast recruitment in oral squamous cell carcinoma via CD11a-dependent glycolytic reprogramming.Oncogenesis · 2025Article
- Single-nucleus CUT&RUN elucidates the function of intrinsic and genomics-driven epigenetic heterogeneity in head and neck cancer progression.Genome research · 2025Article
- Review
- Deciphering the interplay of HPV infection, MHC-II expression, and CXCL13Cancer immunology, immunotherapy : CII · 2024Article
- Article
- Deep spatial-omics analysis of Head & Neck carcinomas provides alternative therapeutic targets and rationale for treatment failure.NPJ precision oncology · 2023Article
- The tumor ecosystem in head and neck squamous cell carcinoma and advances in ecotherapy.Molecular cancer · 2023Review
- Cellular states are coupled to genomic and viral heterogeneity in HPV-related oropharyngeal carcinoma.Nature genetics · 2023Article
- Deciphering Tumour Microenvironment of Liver Cancer through Deconvolution of Bulk RNA-Seq Data with Single-Cell Atlas.Cancers · 2022Article
- The analysis of tumor-infiltrating immune cell and ceRNA networks in laryngeal squamous cell carcinoma.Medicine · 2022Article
- Unraveling the Complexity of Liver Disease One Cell at a Time.Seminars in liver disease · 2022Review
- Epithelial-Mesenchymal Plasticity in Tumor Immune Evasion.Cancer research · 2022Review
- Single-cell RNA sequencing technologies and applications: A brief overview.Clinical and translational medicine · 2022Review
- A Novel Immune-Related Gene Signature to Identify the Tumor Microenvironment and Prognose Disease Among Patients With Oral Squamous Cell Carcinoma Patients Using ssGSEA: A Bioinformatics and Biological Validation Study.Frontiers in immunology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
Abstract
Complexities in cell-type composition have rightfully led to skepticism and caution in the interpretation of bulk transcriptomic analyses. Recent studies have shown that deconvolution algorithms can be utilized to computationally estimate cell-type proportions from the gene expression data of bulk blood samples, but their performance when applied to tumor tissues, including those from head and neck, remains poorly characterized. Here, we use single-cell data (~6000 single cells) collected from 21 head and neck squamous cell carcinoma (HNSCC) samples to generate cell-type-specific gene expression signatures. We leverage bulk RNA-seq data from >500 HNSCC samples profiled by The Cancer Genome Atlas (TCGA), and using single-cell data as a reference, apply two newly developed deconvolution algorithms (CIBERSORTx and MuSiC) to the bulk transcriptome data to quantitatively estimate cell-type proportions for each tumor in TCGA. We show that these two algorithms produce similar estimates of constituent/major cell-type proportions and that a high T-cell fraction correlates with improved survival. By further characterizing T-cell subpopulations, we identify that regulatory T-cells (T
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Registered trials
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.