Evidence map›Paper›PMID 31360113›Full record

ArticleInternational journal of biological sciences2019

Serum microRNA Signature Is Capable of Early Diagnosis for Non-Small Cell Lung Cancer.

Xia Yang, Qiuhong Zhang, Ming Zhang, Wenmei Su, Zhuwen Wang, Yali Li, Jie Zhang, David G Beer, Shuanying Yang, Guoan Chen

Open access · goldAbstract read
In one paragraph

Article in International journal of biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

46 citing papers in PubMed, 71 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

10 authors at 3 institutions in 2 countries.

Xia YangDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Xian Jiaotong University, Xi'an, Shaanxi, China.
Qiuhong ZhangDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Xian Jiaotong University, Xi'an, Shaanxi, China.
Ming ZhangDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Xian Jiaotong University, Xi'an, Shaanxi, China.
Wenmei SuAffiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Zhuwen WangSection of Thoracic Surgery, Department of Surgery, University of Michigan, Ann Arbor, MI, USA.
Yali LiDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Xian Jiaotong University, Xi'an, Shaanxi, China.
Jie ZhangDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Xian Jiaotong University, Xi'an, Shaanxi, China.
David G BeerSection of Thoracic Surgery, Department of Surgery, University of Michigan, Ann Arbor, MI, USA.
Shuanying YangDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Xian Jiaotong University, Xi'an, Shaanxi, China.
Guoan ChenSchool of Medicine, Southern University of Science and Technology, Shenzhen, China.
University of Michigan–Ann Arbor · USGuangdong Medical College · CNSouthern University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite decades of efforts, non-small-cell lung cancer (NSCLC) remains the leading cause of cancer mortality globally primarily due to the challenge in early detection of the cancer. Being an important player in cancer development, the dysregulated miRNAs have been shown promising values as non-invasive diagnostic and prognostic biomarkers for NSCLC. The aim of our study is to access the efficacy and reliability of a potential circulating miRNA panel in early diagnosis of NSCLC. We first selected eight candidate miRNAs, miR-146b, miR-205, miR-29c, miR-31, miR-30b, miR-337, miR-411, and miR-708, which have been shown frequently aberrant in primary NSCLC patients based on our previous studies and other reports. The serum level of each of these miRNAs was evaluated by quantitative real-time PCR (qRT-PCR) in training and testing sets. We found that 5 out of 8 miRNAs (miR-146b, miR-205, miR-29c, miR-30b, and miR-337) were significantly up-regulated in NSCLCs patients compared to healthy or cancer-free controls in both training and testing sets. Based on the logistic regression model, a 4-miRNAs set (miR-146b, miR-205, miR-29c and miR-30b) was picked out of the 5 miRNAs owing to its excellent diagnostic power for NSCLC patients in the training set (AUC=0.99, accuracy=95.00%), the testing set (AUC=0.93, accuracy=89.69%), and the training-testing combined set ( AUC=0.96, accuracy=92.00%). When pathological subtypes of NSCLC are compared, this 4-miRNA panel carried a relatively higher prediction power and higher sensitivity for adenocarcinoma (AC) (AUC=0.98, sensitivity=99.10%) than for squamous cell carcinoma (SCC) (AUC=0.93, sensitivity=90.32%). Additionally, this panel demonstrated a comparable diagnostic capacity for stage I (AUC=0.96) and stage II-III (AUC=0.95) of NSCLC, suggesting its role in reflecting the tumor load. Importantly, the high levels of miR-146b and miR-29c in serum were significantly associated with poor 5-year overall survival (OS) (both p=0.04). Further survival analysis showed that high level of miR-146b in serum is specifically correlated with poor survival rate in SCC patients (p=0.0035) but not in AC patients (p=0.83), consistent with our previous finding that the high tissue expression of miR-146b in lung cancer specimen is indicative of a poor prognosis for SCC patients. Altogether, our study demonstrated that the 4-miRNA panel is a novel, sensitive and non-invasive serum marker for the early diagnosis of NSCLC.

Indexed as

AgedBiomarkers, TumorCarcinoma, Non-Small-Cell LungEarly Detection of CancerHumansKaplan-Meier EstimateLung NeoplasmsMicroRNAsMiddle AgedBiomarkers, TumorMicroRNAsearly diagnosismiRNAnon-small-cell lung cancer (NSCLC)prognosisserum biomarker

Identifiers

PMID31360113
PMCPMC6643220
OpenAlexW2952299848

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.