Evidence map›Paper›PMID 34804045›Full record

ArticleFrontiers in immunology2021

Single-Cell Transcriptomic Analysis Reveals a Tumor-Reactive T Cell Signature Associated With Clinical Outcome and Immunotherapy Response In Melanoma.

Min Yan, Jing Hu, Yanyan Ping, Liwen Xu, Gaoming Liao, Zedong Jiang, Bo Pang, Shangqin Sun, Yunpeng Zhang, Yun Xiao and 1 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.9field-weighted citation impact, top 6% 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

32 citing papers in PubMed, 51 citations in OpenAlex.

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  18. A Paradoxical Tumor Antigen Specific Response in the Liver.bioRxiv : the preprint server for biology · 2024
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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

11 authors at 1 institution in 1 country.

Min YanCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Jing HuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Yanyan PingCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Liwen XuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Gaoming LiaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Zedong JiangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Bo PangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Shangqin SunCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Yunpeng ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Yun XiaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Xia LiCollege 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

The infiltration of tumor-reactive T cells in the tumor site is associated with better survival and immunotherapy response. However, tumor-reactive T cells were often represented by the infiltration of total CD8+ T cells, which was confounded by the presence of bystander T cells. To identify tumor-reactive T cells at the cancer lesion, we performed integration analyses of three scRNA-seq data sets of T cells in melanoma. Extensive heterogeneous functional states of T cells were revealed in the tumor microenvironment. Among these states, we identified a subset of tumor-reactive T cells which specifically expressed tumor-reactive markers and T cell activation signature, and were strongly enriched for larger T cell receptor (TCR) clones. We further identified and validated a tumor-reactive T cell signature (TRS) to evaluate the tumor reactivity of T cells in tumor patients. Patients with high TRS scores have strong immune activity and high mutation burden in the TCGA-SKCM cohort. We also demonstrated a significant association of the TRS with the clinical outcomes of melanoma patients, with higher TRS scores representing better survival, which was validated in four external independent cohorts. Furthermore, the TRS scores exhibited greater performance on prognosis prediction than infiltration levels of CD8+ T cells and previously published prognosis-related signatures. Finally, we observed the capability of TRS to predict immunotherapy response in melanoma. Together, based on integrated analysis of single-cell RNA-sequencing, we developed and validated a tumor-reactive-related signature that demonstrated significant association with clinical outcomes and response to immunotherapy.

Indexed as

ImmunotherapySingle-Cell AnalysisTranscriptomeBase SequenceCD8-Positive T-LymphocytesClone CellsDatasets as TopicHumansImmune Checkpoint InhibitorsKaplan-Meier EstimateLymphocytes, Tumor-InfiltratingMelanomaPrognosisReceptors, Antigen, T-CellRNA, NeoplasmT-Lymphocyte SubsetsImmune Checkpoint InhibitorsReceptors, Antigen, T-CellRNA, Neoplasmexhausted T cellsimmunotherapymelanomatumor-infiltrating T cellstumor reactivity

Identifiers

PMID34804045
PMCPMC8602834
OpenAlexW3214468520

What OpenQuestion holds

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Registered trials

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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.