Evidence map›Paper›PMID 35653624›Full record

ArticleCancer control : journal of the Moffitt Cancer Center

Identification and Validation of Serum CST1 as a Diagnostic Marker for Differentiating Early-Stage Non-Small Cell Lung Cancer from Pulmonary Benign Nodules.

Yanzhen Lai, Yu Wang, Yaxian Wu, Meng Wu, Shan Xing, Ying Xie, Shulin Chen, Xiaohui Li, Ao Zhang, Yi He and 7 more

Open access · goldAbstract read
In one paragraph

Article in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

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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

17 authors at 2 institutions in 1 country.

Yanzhen LaiHeyuan People's Hospital, Heyuan, China.
Yu WangDepartment of Clinical Laboratory, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 71067Sun Yat-sen University Cancer Center, Guangzhou, China.
Yaxian WuDepartment of Clinical Laboratory, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 71067Sun Yat-sen University Cancer Center, Guangzhou, China.
Meng WuDepartment of Clinical Laboratory, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 71067Sun Yat-sen University Cancer Center, Guangzhou, China.
Shan XingDepartment of Clinical Laboratory, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 71067Sun Yat-sen University Cancer Center, Guangzhou, China.
Ying XieHeyuan People's Hospital, Heyuan, China.
Shulin ChenDepartment of Clinical Laboratory, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 71067Sun Yat-sen University Cancer Center, Guangzhou, China.ORCID https://orcid.org/0000-0003-0816-2664
Xiaohui LiDepartment of Clinical Laboratory, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 71067Sun Yat-sen University Cancer Center, Guangzhou, China.
Ao ZhangDepartment of Clinical Laboratory, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 71067Sun Yat-sen University Cancer Center, Guangzhou, China.
Yi HeDepartment of Clinical Laboratory, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 71067Sun Yat-sen University Cancer Center, Guangzhou, China.
Huilan LiDepartment of Clinical Laboratory, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 71067Sun Yat-sen University Cancer Center, Guangzhou, China.
Shuqin DaiDepartment of Clinical Laboratory, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 71067Sun Yat-sen University Cancer Center, Guangzhou, China.
Junye WangDepartment of Thoracic Surgery, 71067Sun Yat-sen University Cancer Center, Guangzhou, China.
Shudai LinSchool of Biology and Biological Engineering, 26467South China University of Technology, Guangzhou, China.
Yunmeng BaiSchool of Biology and Biological Engineering, 26467South China University of Technology, Guangzhou, China.
Hongli DuSchool of Biology and Biological Engineering, 26467South China University of Technology, Guangzhou, China.
Wanli LiuDepartment of Clinical Laboratory, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 71067Sun Yat-sen University Cancer Center, Guangzhou, China.ORCID https://orcid.org/0000-0002-7467-760X
Sun Yat-sen University · CNSouth China University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEffective means for early diagnosis are imperative to reduce death rate of non-small cell lung cancer (NSCLC) patients. We aimed to find out high-performance serologic markers to distinguish early-stage NSCLC patients from benign pulmonary nodule patients and healthy controls (HC). Cystatin-SN (CST1) is an active cysteine protease inhibitor of the CST superfamily, involving in the processes of inflammation and tumorigenesis. This is the first exploration of the diagnostic and prognostic values of serum CST1 in NSCLC.

methodsWe analyzed the transcriptome data from The Cancer Genome Atlas and the Gene Expression Omnibus database, screened biomarkers for NSCLC, and verified the candidate markers via the ONCOMINE database. Then, we performed ELISA, western blotting, and immunohistochemistry analysis to detect the expression levels of CST1 in NSCLC cell lines, tumor tissues, and serum samples of clinical cohorts.

resultsWe identified 3 up-regulated secreted protein-encoding genes, validated the expression levels of CST1 in NSCLC tumor tissues and cell lines, and found that serum CST1 levels of NSCLC (4289 ± 2405 pg/mL) were significantly higher than those of PBN patients (1558 ± 441 pg/mL,

conclusionsSerum CST1 may serve as a novel diagnostic marker for differentiating early-stage NSCLC from PBN and HC, and could be used as a prognosis predictor in NSCLC patients.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsSmall Cell Lung CarcinomaAntigens, NeoplasmHumansKeratin-19Salivary Cystatinsantigen CYFRA21.1Antigens, NeoplasmKeratin-19Salivary Cystatinsbiomarkercystatin-SNdiagnosisnon-small cell lung cancerprognosis

Identifiers

PMID35653624
PMCPMC9168853
OpenAlexW4282917402

What OpenQuestion holds

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LicenceCC BY-NC
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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.