Evidence map›Paper›PMID 34329587›Full record

ReviewCancer cell2021

From bench to bedside: Single-cell analysis for cancer immunotherapy.

Emily F Davis-Marcisak, Atul Deshpande, Genevieve L Stein-O'Brien, Won J Ho, Daniel Laheru, Elizabeth M Jaffee, Elana J Fertig, Luciane T Kagohara

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Cancer cell, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers.

0numbers the graph read from it
0cells of the map it votes in
77citing 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

77 citing papers in PubMed.

  1. Article
  2. Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Harnessing biomarkers to guide immunotherapy in esophageal cancer: toward precision oncology.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Targeting tumor-associated CCR2Science advances · 2025
    Article
  14. Article
  15. Review
  16. Article
  17. Role of CD4Journal of translational medicine · 2025
    Review
  18. Review
  19. Review
  20. Review

17 more citing papers are in PubMed but not listed here.

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

8 authors.

Emily F Davis-MarcisakMcKusick-Nathans Institute of the Department of Genetic Medicine, Johns Hopkins School of Medicine, 550 N Broadway, Suite 1101E, Baltimore, MD 21205, USA; Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, 1650 Orleans Street, Room 485, Baltimore, MD 21287, USA; Convergence Institute, Johns Hopkins University, Baltimore, MD, USA; Bloomberg-Kimmel Immunotherapy Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Atul DeshpandeDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, 1650 Orleans Street, Room 485, Baltimore, MD 21287, USA; Convergence Institute, Johns Hopkins University, Baltimore, MD, USA; Bloomberg-Kimmel Immunotherapy Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Genevieve L Stein-O'BrienMcKusick-Nathans Institute of the Department of Genetic Medicine, Johns Hopkins School of Medicine, 550 N Broadway, Suite 1101E, Baltimore, MD 21205, USA; Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, 1650 Orleans Street, Room 485, Baltimore, MD 21287, USA; Convergence Institute, Johns Hopkins University, Baltimore, MD, USA; Bloomberg-Kimmel Immunotherapy Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Won J HoDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, 1650 Orleans Street, Room 485, Baltimore, MD 21287, USA; Convergence Institute, Johns Hopkins University, Baltimore, MD, USA; Bloomberg-Kimmel Immunotherapy Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Daniel LaheruDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, 1650 Orleans Street, Room 485, Baltimore, MD 21287, USA; Convergence Institute, Johns Hopkins University, Baltimore, MD, USA; Bloomberg-Kimmel Immunotherapy Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Elizabeth M JaffeeDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, 1650 Orleans Street, Room 485, Baltimore, MD 21287, USA; Convergence Institute, Johns Hopkins University, Baltimore, MD, USA; Bloomberg-Kimmel Immunotherapy Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Elana J FertigMcKusick-Nathans Institute of the Department of Genetic Medicine, Johns Hopkins School of Medicine, 550 N Broadway, Suite 1101E, Baltimore, MD 21205, USA; Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, 1650 Orleans Street, Room 485, Baltimore, MD 21287, USA; Convergence Institute, Johns Hopkins University, Baltimore, MD, USA; Bloomberg-Kimmel Immunotherapy Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Applied Mathematics and Statistics, Johns Hopkins University Whiting School of Engineering, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: ejfertig@jhmi.edu.
Luciane T KagoharaDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, 1650 Orleans Street, Room 485, Baltimore, MD 21287, USA; Convergence Institute, Johns Hopkins University, Baltimore, MD, USA; Bloomberg-Kimmel Immunotherapy Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: ltsukam1@jhmi.edu.

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI ALAN KEITH MEEKER · 1985 to 2026
$208.6M
Transforming Human Pancreatic Cancer Into An Immunologic DiseaseP01CA247886 · NCI · JOHNS HOPKINS UNIVERSITY · PI ANDERS, ROBERT A. · 2021 to 2025
$12.7M
Targeting the Immunosuppressive Tumor Microenvironment of Pancreatic Cancer with a Neoadjuvant Platform Clinical TrialR01CA197296 · NCI · JOHNS HOPKINS UNIVERSITY · PI William Reece Burns, Eric Christenson · 2015 to 2026
$5.7M
Integrating bioinformatics into multiscale models for hepatocellular carcinomaU01CA212007 · NCI · JOHNS HOPKINS UNIVERSITY · PI EWALD, ANDREW JOSEF, FERTIG, ELANA · 2018 to 2022
$3.2M
Single-cell and imaging data integration software to spatially resolve the tumor microenvironmentU01CA253403 · NCI · JOHNS HOPKINS UNIVERSITY · PI FERTIG, ELANA · 2020 to 2022
$1.2M
Resolving Spatiotemporal Determinants of Cell Specification in Corticogenesis with Latent Space MethodsK99NS122085 · NINDS · JOHNS HOPKINS UNIVERSITY · PI STEIN-O'BRIEN, GENEVIEVE LAUREN · 2021 to 2022
$221k
T cell mechanisms of immunotherapy response in pancreatic ductal adenocarcinomaF31CA250135 · NCI · JOHNS HOPKINS UNIVERSITY · PI DAVIS, EMILY · 2021 to 2022
$74k
NCI NIH HHS F31 CA250135NCI NIH HHS P01 CA247886NCI NIH HHS P30 CA006973NCI NIH HHS R01 CA197296NCI NIH HHS U01 CA212007NCI NIH HHS U01 CA253403NINDS NIH HHS K99 NS122085
6 · The paper itself

Abstract

Single-cell technologies are emerging as powerful tools for cancer research. These technologies characterize the molecular state of each cell within a tumor, enabling new exploration of tumor heterogeneity, microenvironment cell-type composition, and cell state transitions that affect therapeutic response, particularly in the context of immunotherapy. Analyzing clinical samples has great promise for precision medicine but is technically challenging. Successfully identifying predictors of response requires well-coordinated, multi-disciplinary teams to ensure adequate sample processing for high-quality data generation and computational analysis for data interpretation. Here, we review current approaches to sample processing and computational analysis regarding their application to translational cancer immunotherapy research.

Indexed as

Computational BiologyData VisualizationGene Expression ProfilingHumansImmunotherapyNeoplasmsProteomicsSingle-Cell AnalysisTumor Microenvironmentcomputational biologysingle-cell proteomicssingle-cell transcriptomicsspatial proteomicsspatial transcriptomicstranslational medicinetumor immunology

Identifiers

PMID34329587
PMCPMC8406623

What Socratic holds

Textmetadata
LicenceTDM
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.