Evidence map›Paper›PMID 38054018›Full record

SynthesisPeerJ2023

Identification of cytokine-induced cell communications by pan-cancer meta-analysis.

Yining Liu, Min Zhao, Hong Qu

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PeerJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

3 authors at 3 institutions in 2 countries.

Yining LiuThe School of Public Health, Institute for Chemical Carcinogenesis, Guangzhou Medical University, Guangzhou, China.
Min ZhaoSchool of Science and Engineering, University of the Sunshine Coast, Maroochydore DC, Australia.
Hong QuCenter for Bioinformatics, State Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Peking University, Beijing, China.
Guangzhou Medical University · CNPeking University · CNUniversity of the Sunshine Coast · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer immune responses are complex cellular processes in which cytokine-receptor interactions play central roles in cancer development and response to therapy; dysregulated cytokine-receptor communication may lead to pathological processes, including cancer, autoimmune diseases, and cytokine storm; however, our knowledge regarding cytokine-mediated cell-cell communication (CCI) in different cancers remains limited. The present study presents a single-cell and pan-cancer-level transcriptomics integration of 41,900 cells across 25 cancer types. We developed a single-cell method to actively express 62 cytokine-receptor pairs to reveal stable cytokine-mediated cell communications involving 84 cytokines and receptors. The correlation between the sample-based CCI profile and the interactome analysis indicates multiple cytokine-receptor modules including

Indexed as

Autoimmune DiseasesNeoplasmsCell CommunicationCytokinesHumansPlatelet-Derived Growth FactorCytokinesPlatelet-Derived Growth FactorCell communicationCytokinePan-cancer data integrationSingle-cell transcriptome

Identifiers

PMID38054018
PMCPMC10695116
OpenAlexW4389272616

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.