Evidence map›Paper›PMID 38319415›Full record

ArticleCell biology and toxicology2024

Deciphering the heterogeneity of neutrophil cells within circulation and the lung cancer microenvironment pre- and post-operation.

Fangming Liu, Xuanqi Liu, Yifei Liu, Dongsheng Chen, Xiaoxia Liu, Chuan Qin, Yuanlin Song, Hao Fang, Duojiao Wu

Open access · hybridAbstract read
In one paragraph

Article in Cell biology and toxicology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 47% of its field
1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 7 institutions in 1 country.

Fangming Liu *Center for Tumor Diagnosis and Therapy, Jinshan Hospital, Fudan University, Shanghai, China.
Xuanqi Liu *Center for Tumor Diagnosis and Therapy, Jinshan Hospital, Fudan University, Shanghai, China.
Yifei Liu *Center of Molecular Diagnosis and Therapy, The Second Attached Hospital of Fujian Medical University, Quanzhou, China.
Dongsheng Chen *Suzhou Institute of Systems Medicine, Suzhou, Jiangsu Province, China.
Xiaoxia LiuRespiratory Department, Zhongshan Hospital, Fudan University, Shanghai, China.
Chuan QinDepartment of Medical Ultrasound, Jinshan Hospital, Fudan University, Shanghai, China. 357746275@qq.com.
Yuanlin SongRespiratory Department, Zhongshan Hospital, Fudan University, Shanghai, China. song.yuanlin@zs-hospital.sh.cn.
Hao FangDepartment of Anesthesiology, Shanghai Geriatic Medical Center, Shanghai, China. drfanghao@163.com.
Duojiao WuCenter for Tumor Diagnosis and Therapy, Jinshan Hospital, Fudan University, Shanghai, China. wuduojiao@126.com.
Fudan University · CNJinshan Hospital of Fudan University · CNFujian Medical University · CNShanghai Center For Bioinformation Technology · CNShanghai Medical Information Center · CNSun Yat-sen University · CNSuzhou Institute of Systems Medicine · CN

Funding

2021Shanghai Science and Technology Innovation Action Plan-Medical Innovation Research Special Project 21Y11902000Open fund project of Shenzhen BGI Institute of Life Science BGIRSZ20200004Science and Technology Commission of Shanghai Municipality 20DZ2261200Shanghai Engineering Research Center of Tumor Multi-Target Gene Diagnosis 20DZ2254300Shanghai Municipal Science and Technology Major Project ZD2021CY001Shanghai Sailing Program 21YF1407700Special Fund for Clinical Research of Zhongshan Hospital, Fudan University 2020ZSLC07the National Natural Science Foundation of China 82273188
6 · The paper itself

Abstract

Neutrophils play a crucial role in the immune system within tumor microenvironment. At present, numerous studies have explored the changes of neutrophils' automatic killing effect and cellular communication with other immune cells under pathological conditions through single-cell sequencing. However, there remains a lack of definite conclusion about the identification criteria of neutrophil subgroups. Here, we collected tumor and para-carcinoma tissues, pre- and postoperative blood from patients with non-small cell lung cancer (NSCLC), and performed single-cell RNA (scRNA) sequencing to evaluate the distribution of neutrophil subgroups. We have developed a computational method of over expression rate (OER) to evaluate the specificity of neutrophil subgroups, in order to target gene panels with potential clinical application value. In addition, OER was used to evaluate specificity of neutrophil subsets in healthy people and patients with various diseases to further validate the feasibility of this evaluation system. As a result, we found the specificity of Neu_ c1_ IL1B and Neu_ c2_ cxcr4 (low) in postoperative blood has increased, while that of IL-7R + neutrophils has decreased, indicating that these groups of cells possibly differentiated or migrated to other subgroups in the state of lung cancer. In addition, seven gene panels (Neu_c3_CST7, RSAD2_Neu, S100A2/Pabpc1_Neu, ISG15/Ifit3_Neu, CD74_Neu, PTGS2/Actg1_Neu, SPP1_Neu) were high specific in all the four NSCLC-associated samples, meaning that changes in the percentage of these cell populations would have a high degree of confidence in assessing changes of disease status. In conclusion, combined consideration of the distribution characteristics of neutrophil subgroups could help evaluate the diagnosis and prognosis of NSCLC.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsHumansLungNeutrophilsTumor MicroenvironmentHeterogeneityNeutrophilsNSCLCSingle-cell sequencing

Identifiers

PMID38319415
PMCPMC10847186
OpenAlexW4391565021

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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.