Evidence map›Paper›PMID 35703176›Full record

ArticleThe Journal of clinical investigation2022

Finding the right help in the tumor microenvironment.

Jessica N Filderman, Walter J Storkus

Open access · goldAbstract readComment
In one paragraph

Article in The Journal of clinical investigation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Jessica N FildermanDepartment of Immunology.
Walter J StorkusDepartment of Immunology.
University of Pittsburgh · US

Funding

Targeting the Chemokine System to Sensitize Tumors to ImmunotherapyP01CA234212 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI KALINSKI, PAWEL · 2020 to 2024
$10.1M
Vaccine Targeting of RCC Blood Vessels to Promote TME Normalization and Enhance TIL RecruitmentR01CA249811 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MARANCHIE, JODI KATHLEEN, STORKUS, WALTER J. · 2021 to 2025
$2.3M
Induction of Therapeutic Immunity in the Tumor MicroenvironmentR01CA204419 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STORKUS, WALTER J. · 2016 to 2020
$1.7M
NCI NIH HHS P01 CA234212NCI NIH HHS R01 CA204419NCI NIH HHS R01 CA249811
6 · The paper itself

Abstract

Tumor-infiltrating lymphocytes (TILs) contain substantial numbers of CD4+ T cells mediating pro- and antitumor functions. While CD4+ Tregs are well characterized and known to promote tumor immune evasion, the fingerprint of CD4+ Th cells that recognizes tumor antigens and serves to restrict disease progression has remained poorly discriminated. In this issue of the JCI, Duhen et al. analyzed tumors from patients with head and neck squamous cell carcinoma or colon carcinoma and identified a unique programmed cell death 1-positive, ICOS1-positive (PD-1+ICOS1+) subpopulation of CD4+ TILs highly enriched for the ability to recognize tumor-associated antigens. These cells localized proximally to MHC II+ antigen-presenting cells and CD8+ T cells within tumors, where they appeared to proliferate and function almost exclusively as Th cells. These potentially therapeutic Th cells can be monitored for patient prognosis and are expected to have substantial utility in developing personalized adoptive cell- and vaccine-based immunotherapeutic approaches for improving patient outcomes.

Indexed as

Head and Neck NeoplasmsTumor MicroenvironmentCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesHumansLymphocytes, Tumor-InfiltratingPrognosis

Identifiers

PMID35703176
PMCPMC9197508
OpenAlexW4282916773

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.