Evidence map›Paper›PMID 35903095›Full record

ArticleFrontiers in immunology2022

Single-Cell Transcriptomic Analysis Reveals the Crosstalk Propensity Between the Tumor Intermediate State and the CD8+ T Exhausted State to be Associated with Clinical Benefits in Melanoma.

Jiali Zhu, Min Yan, Haoteng Yan, Liwen Xu, Zedong Jiang, Gaoming Liao, Yao Zhou, Wei Liu, Xin Liang, Xia Li and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Progenitor CD8Apoptosis : an international journal on programmed cell death · 2026
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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

12 authors at 1 institution in 1 country.

Jiali ZhuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Min YanCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Haoteng YanCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Liwen XuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Zedong JiangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Gaoming LiaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Yao ZhouCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Wei LiuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Xin LiangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Xia LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Yun XiaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Yunpeng ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heterogeneous crosstalk between tumor cells and CD8+ T cells leads to substantial variation in clinical benefits from immunotherapy in melanoma. Due to spatial distribution and functional state heterogeneity, it is still unknown whether there is a crosstalk propensity between tumor cells and CD8+ T cells in melanoma, and how this crosstalk propensity affects the clinical outcome of patients. Using public single-cell transcriptome data, extensive heterogeneous functional states and ligand-receptor interactions of tumor cells and CD8+ T cells were revealed in melanoma. Furthermore, based on the association between cell-cell communication intensity and cell state activity in a single cell, we identified a crosstalk propensity between the tumor intermediate state and the CD8+ T exhausted state. This crosstalk propensity was further verified by pseudo-spatial proximity, spatial co-location, and the intra/intercellular signal transduction network. At the sample level, the tumor intermediate state and the CD8+ T exhausted state synergistically indicated better prognosis and both reduced in immunotherapy-resistant samples. The risk groups defined based on these two cell states could comprehensively reflect tumor genomic mutations and anti-tumor immunity information. The low-risk group had a higher

Indexed as

MelanomaTranscriptomeCD8-Positive T-LymphocytesHumansImmunotherapyCD8+ T cellcell-cell communicationcell statemelanomasingle-cell transcriptome analysis

Identifiers

PMID35903095
PMCPMC9314667
OpenAlexW4285019540

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.