Evidence map›Paper›PMID 33783985›Full record

ArticleClinical and translational medicine2021

Landscape and dynamics of single tumor and immune cells in early and advanced-stage lung adenocarcinoma.

Zhencong Chen, Yiwei Huang, Zhengyang Hu, Mengnan Zhao, Ming Li, Guoshu Bi, Yuansheng Zheng, Jiaqi Liang, Tao Lu, Wei Jiang and 5 more

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed
8.4field-weighted citation impact, top 1% 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

64 citing papers in PubMed, 109 citations in OpenAlex.

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  20. Computational and structural biotechnology journal · 2025
    Article

4 more citing papers are in PubMed but not listed here.

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

15 authors at 1 institution in 2 countries.

Zhencong ChenDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Yiwei HuangDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Zhengyang HuDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Mengnan ZhaoDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Ming LiDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Guoshu BiDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Yuansheng ZhengDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Jiaqi LiangDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Tao LuDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Wei JiangDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Songtao XuDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Cheng ZhanDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.ORCID 0000-0001-8745-9276
Junjie XiDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Qun WangDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Lijie TanDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung adenocarcinoma (LUAD) patients with different American Joint Committee on Cancer stages have different overall 5-year survival rates. The tumor microenvironment (TME) and intra-tumor heterogeneity (ITH) have been shown to play a crucial role in the occurrence and development of tumors. However, the TME and ITH in different lesions of LUAD have not been extensively explored.

methodsWe present a 204,157-cell catalog of the TME transcriptome in 29 lung samples to systematically explore the TME and ITH in the different stages of LUAD. Traditional RNA sequencing data and complete clinical information were downloaded from publicly available databases.

resultsBased on these high-quality cells, we constructed a single-cell network underlying cellular and molecular features of normal lung, early LUAD, and advanced LUAD cells. In contrast with early malignant cells, we noticed that advanced malignant cells had a remarkably more complex TME and higher ITH level. We also found that compared with other immune cells, more differences in CD8+/CTL T cells, regulatory T cells, and follicular B cells were evident between early and advanced LUAD. Additionally, cell-cell communication analyses, revealed great diversity between different lesions of LUAD at the single-cell level. Flow cytometry and qRT-PCR were used to validate our results.

conclusionOur results revealed the cellular diversity and molecular complexity of cell lineages in different stages of LUAD. We believe our research, which serves as a basic framework and valuable resource, can facilitate exploration of the pathogenesis of LUAD and identify novel therapeutic targets in the future.

Indexed as

Adenocarcinoma of LungAgedBiomarkers, TumorFemaleHumansLung NeoplasmsMaleMiddle AgedPrognosisSurvival RateTranscriptomeTumor MicroenvironmentBiomarkers, Tumoradvanced/early lung adenocarcinomaheterogeneitysingle-cell RNA-seqthe tumor microenvironment

Identifiers

PMID33783985
PMCPMC7943914
OpenAlexW3135072380

What OpenQuestion holds

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LicenceCC BY
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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.