Evidence map›Paper›PMID 36206755›Full record

ReviewCancer cell2023

Technology meets TILs: Deciphering T cell function in the -omics era.

William H Hudson, Andreas Wieland

Open access · greenAbstract readReview
In one paragraph

Review in Cancer cell, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 4% of its field
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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Review
  6. Regulatory T cells in cancer and inflammation.Signal transduction and targeted therapy · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Targeting the TRIM21-PD-1 axis potentiates immune checkpoint blockade and CAR-T cell therapy.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review
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

2 authors at 2 institutions in 1 country.

William H HudsonDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA; Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA; Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, TX 77030, USA. Electronic address: william.hudson@bcm.edu.
Andreas WielandDepartment of Otolaryngology, The Ohio State University, Columbus, OH 43210, USA; Department of Microbial Infection and Immunity, The Ohio State University, Columbus, OH 43210, USA; Pelotonia Institute for Immuno-Oncology, The Ohio State University, Columbus, OH 43210, USA. Electronic address: andreas.wieland@osumc.edu.
Baylor College of Medicine · USThe Ohio State University · US

Funding

Control of CD8+ T cell exhaustion by novel checkpoint moleculesR00AI153736 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI HUDSON, WILLIAM HARRIS · 2022 to 2023
$498k
Control of CD8+ T cell exhaustion by novel checkpoint moleculesK99AI153736 · NIAID · EMORY UNIVERSITY · PI HUDSON, WILLIAM HARRIS · 2020 to 2021
$184k
NIAID NIH HHS K99 AI153736NIAID NIH HHS R00 AI153736
6 · The paper itself

Abstract

T cells are at the center of cancer immunology because of their ability to recognize mutations in tumor cells and directly mediate cancer cell killing. Immunotherapies to rejuvenate exhausted T cell responses have transformed the clinical management of several malignancies. In parallel, the development of novel multidimensional analysis platforms, such as single-cell RNA sequencing and high-dimensional flow cytometry, has yielded unprecedented insights into immune cell biology. This convergence has revealed substantial heterogeneity of tumor-infiltrating immune cells in single tumors, across tumor types, and among individuals with cancer. Here we discuss the opportunities and challenges of studying the complex tumor microenvironment with -omics technologies that generate vast amounts of data, highlighting the opportunities and limitations of these technologies with a particular focus on interpreting high-dimensional studies of CD8

Indexed as

CD8-Positive T-LymphocytesNeoplasmsHumansImmunotherapyLymphocytes, Tumor-InfiltratingTumor Microenvironmentbystandercancer immunologyCD4CD8flow cytometryimmunotherapyPD-1scRNA-seqT celltechniquestumor-infiltrating lymphocytes

Identifiers

PMID36206755
PMCPMC9839604
OpenAlexW4302424723

What OpenQuestion 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 OpenQuestion graph.