Evidence map›Paper›PMID 37679527›Full record

ArticleCancer gene therapy2023

Integrative single-cell transcriptome analysis reveals immune suppressive landscape in the anaplastic thyroid cancer.

Chao Feng, Yujia Tao, Chao Yu, Lirui Wang, Xiao Liu, Yuan Cao

Abstract read
PubMed Publisher
In one paragraph

Article in Cancer gene therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

20 citing papers in PubMed, 15 citations in OpenAlex.

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  19. The impact of evodiamine on human anaplastic thyroid cancer therapy-anInternational journal of medical sciences · 2025
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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

6 authors at 1 institution in 1 country.

Chao Feng *Department of Basic Medical Sciences, The 960th Hospital of PLA, 250031, Jinan, China.ORCID 0000-0003-4868-2277
Yujia Tao *Department of Basic Medical Sciences, The 960th Hospital of PLA, 250031, Jinan, China.
Chao YuDepartment of Basic Medical Sciences, The 960th Hospital of PLA, 250031, Jinan, China.
Lirui WangDepartment of Basic Medical Sciences, The 960th Hospital of PLA, 250031, Jinan, China.
Xiao LiuDepartment of Basic Medical Sciences, The 960th Hospital of PLA, 250031, Jinan, China. gracelau57@gmail.com.ORCID 0000-0001-8174-4738
Yuan CaoDepartment of Basic Medical Sciences, The 960th Hospital of PLA, 250031, Jinan, China. labs.net@gmail.com.ORCID 0000-0002-2681-8711
82th Hospital of Pla · CN

Funding

National Natural Science Foundation of China (National Science Foundation of China) 81572620Natural Science Foundation of Shandong Province (Shandong Provincial Natural Science Foundation) ZR2023MH370
6 · The paper itself

Abstract

The tumor immune microenvironment (TIME) in ATC is a complex and diverse ecosystem. It is essential to have a comprehensive understanding to improve cancer treatment and prognosis. However, TIME of ATC and the dynamic changes with PTC has not been revealed at the single-cell level. Here, we performed an integrative single-cell analysis of PTC and ATC primary tumor samples. We found that immunosuppressive cells and molecules dominated the TIME in ATC. Specifically, the level of infiltration of exhausted CD8+ T cells, and M2 macrophages was increased, and that of NK cells, B cells, and M1 macrophages was decreased. The cytotoxicity of CD8+ T cells, γδT cells, and NK cells was decreased, and immune checkpoint molecules, such as LAG3, PD1, HAVCR2, and TIGIT were highly expressed in ATC. Our findings contribute to the comprehension of TIME in both PTC and ATC, offering insights into the immunosuppressive factors specifically associated with ATC. Targeting these immunosuppressive factors may activate the anti-tumor immune response in ATC.

Indexed as

Thyroid Carcinoma, AnaplasticThyroid NeoplasmsEcosystemHumansMacrophagesSingle-Cell Gene Expression AnalysisTumor Microenvironment

Identifiers

PMID37679527
OpenAlexW4386518213

What OpenQuestion 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 OpenQuestion graph.