Evidence map›Paper›PMID 38014233›Full record

ArticlebioRxiv : the preprint server for biology2023

Identification of Cellular Interactions in the Tumor Immune Microenvironment Underlying CD8 T Cell Exhaustion.

Christopher Klocke, Amy Moran, Andrew Adey, Shannon McWeeney, Guanming Wu

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 1 institution in 1 country.

Christopher KlockeDivision of Bioinformatics and Computational Biomedicine, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA.ORCID 0000-0001-8528-7781
Amy MoranDepartment of Cell, Developmental and Cancer Biology, Oregon Health & Science University, Portland, OR, USA.
Andrew AdeyKnight Cancer Institute, Oregon Health and Science University, Portland, OR, USA.ORCID 0000-0001-7648-8717
Shannon McWeeneyDivision of Bioinformatics and Computational Biomedicine, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA.ORCID 0000-0001-8333-6607
Guanming WuDivision of Bioinformatics and Computational Biomedicine, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA.ORCID 0000-0001-8196-1177
Oregon Health & Science University · US

Funding

TRAINING PROGRAM IN HEALTH INFORMATICST15LM007088 · NLM · OREGON HEALTH & SCIENCE UNIVERSITY · PI WILLIAM R HERSH, Vishnu Mohan · 1992 to 2026
$23.4M
Reactome - CoreU41HG003751 · NHGRI · ONTARIO INSTITUTE FOR CANCER RESEARCH · PI STEIN, LINCOLN D. · 2012 to 2021
$14.5M
Reactome: An Open Knowledgebase of Human Pathways.U24HG012198 · NHGRI · ONTARIO INSTITUTE FOR CANCER RESEARCH · PI Marc E Gillespie, LINCOLN D. STEIN · 2022 to 2026
$7.0M
Reactome IDG portal: Pathway-based analysis and visualization of understudied human proteinsU01CA239069 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI DEUSTACHIO, PETER G, STEIN, LINCOLN D. · 2019 to 2021
$1.3M
NCI NIH HHS U01 CA239069NHGRI NIH HHS U24 HG012198NHGRI NIH HHS U41 HG003751NLM NIH HHS T15 LM007088
6 · The paper itself

Abstract

While immune checkpoint inhibitors show success in treating a subset of patients with certain late-stage cancers, these treatments fail in many other patients as a result of mechanisms that have yet to be fully characterized. The process of CD8 T cell exhaustion, by which T cells become dysfunctional in response to prolonged antigen exposure, has been implicated in immunotherapy resistance. Single-cell RNA sequencing (scRNA-seq) produces an abundance of data to analyze this process; however, due to the complexity of the process, contributions of other cell types to a process within a single cell type cannot be simply inferred. We constructed an analysis framework to first rank human skin tumor samples by degree of exhaustion in tumor-infiltrating CD8 T cells and then identify immune cell type-specific gene-regulatory network patterns significantly associated with T cell exhaustion. Using this framework, we further analyzed scRNA-seq data from human tumor and chronic viral infection samples to compare the T cell exhaustion process between these two contexts. In doing so, we identified transcription factor activity in the macrophages of both tissue types associated with this process. Our framework can be applied beyond the tumor immune microenvironment to any system involving cell-cell communication, facilitating insights into key biological processes that underpin the effective treatment of cancer and other complicated diseases.

Identifiers

PMID38014233
PMCPMC10680664
OpenAlexW4388620292

What Socratic holds

Textmetadata
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.