ArticleScientific reports2021
Potentiality of multiple modalities for single-cell analyses to evaluate the tumor microenvironment in clinical specimens.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 25 citations in OpenAlex.
- A cDC1-NK/T-Malignant Cell Circuit Drives Immunogenic Remodeling Under PD-1 Blockade in Gastric Cancer.Cancer science · 2026Article
- Neutrophil-Macrophage Interactions Shape Inflammatory Macrophage Remodeling in Gastric Cancer During Chemo-Immunotherapy.Cancer science · 2026Article
- Serum Cytokine Profiles in Patients with Inflammatory Bowel Disease in Clinical Remission: A Cross-Sectional Comparison by Anti-TNF Therapy.Journal of inflammation research · 2026Article
- OX40L and IL-2 combination strategy for gastric cancer immunotherapy.Translational cancer research · 2025Article
- Navigating single-cell RNA-sequencing: protocols, tools, databases, and applications.Genomics & informatics · 2025Review
- Mass cytometry: exploring the immune landscape of systemic autoimmune and inflammatory diseases in the past fourteen years.Frontiers in immunology · 2024Review
- CDC7 inhibition induces replication stress-mediated aneuploid cells with an inflammatory phenotype sensitizing tumors to immune checkpoint blockade.Nature communications · 2023Article
- Article
- Single-cell RNA sequencing reveals tumor immune microenvironment in human hypopharygeal squamous cell carcinoma and lymphatic metastasis.Frontiers in immunology · 2023Article
- Serum cytokine levels and other associated factors as possible immunotherapeutic targets and prognostic indicators for lung cancer.Frontiers in oncology · 2023Review
- Article
- Guest Edited Collection: Epigenetics within the tumor microenvironment.Scientific reports · 2022Article
- Multiplatform Single-Cell Analysis Identifies Immune Cell Types Enhanced in Pulmonary Fibrosis.American journal of respiratory cell and molecular biology · 2022Article
- Characterization of adipose depot-specific stromal cell populations by single-cell mass cytometry.iScience · 2022Article
- Single-Cell Sequencing: Current Applications in Precision Onco-Genomics and Cancer Therapeutics.Cancers · 2022Review
- CyTOFFrontiers in immunology · 2022Review
- GM-CSF: A Double-Edged Sword in Cancer Immunotherapy.Frontiers in immunology · 2022Review
- Breaking the Immune Complexity of the Tumor Microenvironment Using Single-Cell Technologies.Frontiers in genetics · 2022Review
- Assessment of the immune landscapes of advanced ovarian cancer in an optimized in vivo model.Clinical and translational medicine · 2021Article
- Analyzing Modern Biomolecules: The Revolution of Nucleic-Acid Sequencing - Review.Biomolecules · 2021Review
Corrections and comments
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Authors and funding
23 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single-cell level analysis is powerful tool to assess the heterogeneity of cellular components in tumor microenvironments (TME). In this study, we investigated immune-profiles using the single-cell analyses of endoscopically- or surgically-resected tumors, and peripheral blood mononuclear cells from gastric cancer patients. Furthermore, we technically characterized two distinct platforms of the single-cell analysis; RNA-seq-based analysis (scRNA-seq), and mass cytometry-based analysis (CyTOF), both of which are broadly embraced technologies. Our study revealed that the scRNA-seq analysis could cover a broader range of immune cells of TME in the biopsy-resected small samples of tumors, detecting even small subgroups of B cells or Treg cells in the tumors, although CyTOF could distinguish the specific populations in more depth. These findings demonstrate that scRNA-seq analysis is a highly-feasible platform for elucidating the complexity of TME in small biopsy tumors, which would provide a novel strategies to overcome a therapeutic difficulties against cancer heterogeneity in TME.
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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.