ReviewOral oncology2019
Single-cell sequencing and its applications in head and neck cancer.
Review in Oral oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
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.
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
52 citing papers in PubMed.
- Spatial analysis of head and neck cancer identifies two ecosystems with distinct modes of epithelial-to-mesenchymal transition.Nature genetics · 2026Article
- Integrating RNA-seq and Single-Cell RNA-seq to Uncover Transcriptional Signature of Fibroblasts in Oral Squamous Cell Carcinoma.Biochemical genetics · 2026Article
- A unified single-cell atlas of HNSCC: Toward characterizing HPV- and sex-associated TME variability.iScience · 2026Article
- Whole transcriptome sequencing and ceRNA regulatory network in diabetic peripheral neuropathy.Scientific reports · 2026Article
- Single cell RNA sequencing improves the next generation of approaches to AML treatment: challenges and perspectives.Molecular medicine (Cambridge, Mass.) · 2025Review
- A novel mast cell marker gene-related prognostic signature to predict prognosis and reveal the immune landscape in head and neck squamous cell carcinoma.Frontiers in immunology · 2025Article
- MetaPhenotype: A Transferable Meta-Learning Model for Single-Cell Mass Spectrometry-Based Cell Phenotype Prediction Using Limited Number of Cells.Analytical chemistry · 2024Article
- Phenotype remodelling of HNSCC cells in the muscle invasion environment.Journal of translational medicine · 2024Article
- Review
- A robust statistical approach for finding informative spatially associated pathways.Briefings in bioinformatics · 2024Article
- Single-cell transcriptomic landscape and the microenvironment of normal adjacent tissues in hypopharyngeal carcinoma.BMC genomics · 2024Article
- Article
- An Overview of Advances in Rare Cancer Diagnosis and Treatment.International journal of molecular sciences · 2024Review
- Single-cell multi-omic analysis of the vestibular schwannoma ecosystem uncovers a nerve injury-like state.Nature communications · 2024Article
- Revelation of comprehensive cell profiling of primary and metastatic tumour ecosystems in oral squamous cell carcinoma by single-cell transcriptomic analysis.International journal of medical sciences · 2024Article
- Research progress and application of single-cell sequencing in head and neck malignant tumors.Cancer gene therapy · 2024Review
- Article
- [Advances of spatial omics in the individualized diagnosis and treatment of head and neck cancer].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2023Article
- Advances in single-cell RNA sequencing and its applications in cancer research.Journal of hematology & oncology · 2023Review
- Spatial transcriptomics reveals distinct and conserved tumor core and edge architectures that predict survival and targeted therapy response.Nature communications · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Head and neck squamous cell carcinoma (HNSCC), like many tumors, is characterized by significant intra-tumoral heterogeneity, namely transcriptional, genetic, and epigenetic differences that define distinct cellular subpopulations. While it has been established that intra-tumoral heterogeneity may have prognostic significance in HNSCC, we are only beginning to describe and define such heterogeneity at a cellular resolution. Recent advances in single-cell sequencing technologies have been critical in this regard, opening new avenues in our understanding of more nuanced tumor biology by identifying distinct cellular subpopulations, dissecting signaling within the tumor microenvironment, and characterizing cellular genomic mutations and copy number aberrations. The combined effect of these insights is likely to be robust and meaningful changes in existing diagnostic and treatment algorithms through the application of novel biomarkers as well as targeted therapeutics. Here, we review single-cell technological and computational advances at the genomic, transcriptomic, and epigenomic levels, and discuss their applications in cancer research and clinical practice, with a specific focus on HNSCC.
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What OpenQuestion holds
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.