Evidence map›Paper›PMID 35019173›Full record

ArticleJournal of clinical laboratory analysis2022

A comprehensive profiling of soluble immune checkpoints from the sera of patients with non-small cell lung cancer.

Ying Peng, Chen Zhang, Zhilian Rui, Weiming Tang, Yan Xu, Xiaoxin Tao, Qi Zhao, Xin Tong

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

24 citing papers in PubMed, 29 citations in OpenAlex.

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  19. Soluble CD137: A Potential Prognostic Biomarker in Critically Ill Patients.International journal of molecular sciences · 2023
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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

8 authors at 2 institutions in 1 country.

Ying PengDepartment of Clinical Laboratory, Liyang People's Hospital, Liyang, China.
Chen ZhangCenter of Clinical Laboratory Medicine, Zhongda Hospital, Southeast University, Nanjing, China.
Zhilian RuiDepartment of Clinical Laboratory, Liyang People's Hospital, Liyang, China.
Weiming TangDepartment of Clinical Laboratory, Liyang People's Hospital, Liyang, China.
Yan XuDepartment of Clinical Laboratory, Liyang People's Hospital, Liyang, China.
Xiaoxin TaoDepartment of Oncology, Liyang People's Hospital, Liyang, China.
Qi ZhaoDepartment of Respiratory and Critical Care Medicine, Nanjing Drum Tower Hospital, Nanjing University Medical School, Nanjing, China.
Xin TongDepartment of Infectious Diseases, Nanjing Drum Tower Hospital, Nanjing University Medical School, Nanjing, China.ORCID https://orcid.org/0000-0001-8024-2357
Nanjing Drum Tower Hospital · CNZhongda Hospital Southeast University · CN

Funding

Guiding Science and Technology Project of Changzhou Health Committee WZ201925Young Talent Development Plan of Changzhou Health Commission
6 · The paper itself

Abstract

backgroundImmunotherapy was widely used for the treatment of non-small cell lung cancer (NSCLC). However, whether inhibition of immune checkpoints individually or simultaneously could improve the therapeutic efficacy of NSCLC remains to be investigated. Here, we explored the aberrant levels of several checkpoints and evaluated their potential diagnostic values for NSCLC.

methodsSerum samples of 89 NSCLC patients and 57 healthy donors were collected from Nanjing Drum Tower Hospital between November 2019 and July 2020. Fourteen human immune checkpoints were quantified by Procarta-Plex Human Immuno-Oncology Checkpoint Panel.

resultsThe expression levels of sTIM-3, sCD137, sCD27, sLAG-3, sIDO, sPD-L2, sCD152, sCD80, and sPD-1 were all significantly increased in serum of NSCLC patients. Especially, sLAG-3 was significantly elevated in serum of NSCLC patients at early-stage (stages I and II), TIM-3, CD137, and CD27 were significantly higher in the advanced NSCLC patients (stages III and IV) than in the early-stage groups. Receiver operating characteristics (ROC) results showed that except for PD-1, all the other immune checkpoint proteins had potential diagnostic values for NSCLC. sTIM-3 had the highest diagnostic accuracy, followed by sLAG-3. Combining sTIM-3, sLAG-3, and sCD137 could increase the accuracy to a higher level. Moreover, sCD27 was correlated with NSCLC cancer type, age, sex, and disease stage, while sCD137 was correlated with age and disease stage. sTIM-3 and sIDO were correlated with stage and age, respectively.

conclusionsTIM-3 and LAG-3 were independent biomarkers for the early diagnosis of NSCLC. The combination of TIM-3, LAG-3, and CD137 could increase the diagnostic accuracy.

Indexed as

4-1BB LigandAgedAntigens, CDBiomarkers, TumorCarcinoma, Non-Small-Cell LungCase-Control StudiesFemaleHepatitis A Virus Cellular Receptor 2HumansImmune Checkpoint ProteinsLung NeoplasmsLymphocyte Activation Gene 3 ProteinMaleMiddle Aged4-1BB LigandAntigens, CDBiomarkers, TumorHAVCR2 protein, humanHepatitis A Virus Cellular Receptor 2Immune Checkpoint ProteinsLag3 protein, humanLymphocyte Activation Gene 3 Proteinsoluble LAG-3 protein, humanTNFSF9 protein, humanimmunotherapynon-small cell lung cancersoluble immune checkpoint

Identifiers

PMID35019173
PMCPMC8841185
OpenAlexW4206014221

What OpenQuestion holds

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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.