Evidence map›Paper›PMID 33340250›Full record

ArticleMolecular oncology2021

Discovery and validation of extracellular vesicle-associated miRNAs as noninvasive detection biomarkers for early-stage non-small-cell lung cancer.

Yujie Zhong, Xiaoyu Ding, Yuying Bian, Jing Wang, Wanqing Zhou, Xiangdong Wang, Pumin Li, Yi Shen, Jun-Jun Wang, Jing Li and 2 more

Open access · goldAbstract readValidation Study
In one paragraph

Article in Molecular oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 16% 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. The diagnostic and prognostic value of exosomal microRNAs in lung cancer: a systematic review.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
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  10. The RNA content of extracellular vesicles from gene-editedMolecular therapy. Methods & clinical development · 2025
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  17. Liquid biopsy techniques and lung cancer: diagnosis, monitoring and evaluation.Journal of experimental & clinical cancer research : CR · 2024
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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

12 authors at 4 institutions in 1 country.

Yujie ZhongDepartment of Clinical Laboratory, Jinling Hospital, State Key Laboratory of Analytical Chemistry for Life Science, Nanjing University School of Medicine, Nanjing University, China.ORCID 0000-0002-5760-437X
Xiaoyu DingDepartment of Clinical Laboratory, Jinling Hospital, State Key Laboratory of Analytical Chemistry for Life Science, Nanjing University School of Medicine, Nanjing University, China.
Yuying BianDepartment of Clinical Laboratory, Jinling Hospital, State Key Laboratory of Analytical Chemistry for Life Science, Nanjing University School of Medicine, Nanjing University, China.
Jing WangDepartment of Clinical Laboratory, Jinling Hospital, State Key Laboratory of Analytical Chemistry for Life Science, Nanjing University School of Medicine, Nanjing University, China.
Wanqing ZhouDepartment of Laboratory Medicine, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, China.
Xiangdong WangDepartment of Laboratory Medicine, the Affiliated Chest Hospital of Nanjing Medical School, China.
Pumin LiState Key Laboratory of Pharmaceutical Biotechnology, Jiangsu Engineering Research Center for MicroRNA Biology and Biotechnology, NJU Advanced Institute for Life Sciences (NAILS), Nanjing University School of Life Sciences, Nanjing University, China.
Yi ShenDepartment of Thoracic Surgery, Jinling Hospital, Nanjing University School of Medicine, Nanjing University, China.
Jun-Jun WangDepartment of Clinical Laboratory, Jinling Hospital, State Key Laboratory of Analytical Chemistry for Life Science, Nanjing University School of Medicine, Nanjing University, China.
Jing LiState Key Laboratory of Pharmaceutical Biotechnology, Jiangsu Engineering Research Center for MicroRNA Biology and Biotechnology, NJU Advanced Institute for Life Sciences (NAILS), Nanjing University School of Life Sciences, Nanjing University, China.
Chunni ZhangDepartment of Clinical Laboratory, Jinling Hospital, State Key Laboratory of Analytical Chemistry for Life Science, Nanjing University School of Medicine, Nanjing University, China.
Cheng WangDepartment of Clinical Laboratory, Jinling Hospital, State Key Laboratory of Analytical Chemistry for Life Science, Nanjing University School of Medicine, Nanjing University, China.ORCID 0000-0002-1834-2119
Nanjing University · CNNanjing Chest Hospital · CNNanjing Drum Tower Hospital · CNNanjing General Hospital of Nanjing Military Command · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

miRNAs in circulating extracellular vesicles (EVs) are promising biomarkers for cancer. However, their diagnostic ability for early-stage non-small-cell lung cancer (NSCLC) is not well known. In this study, the circulating EV miRNAs profiling was initially performed in 36 untreated NSCLC patients and 36 healthy controls by TaqMan Low Density Array (TLDA). Subsequently, we performed quantitative reverse-transcription PCR assay (RT-qPCR) validation in several independent cohorts that included 159 NSCLC patients, 120 age/sex-matched healthy controls and 31 benign nodule patients enrolled from three different clinical centres. In addition, 38 cases of NSCLC were analysed before and after surgery. We demonstrated that miR-520c-3p and miR-1274b were significantly and steadily increased in NSCLC patients in comparison with healthy controls and benign nodule patients (P < 0.001) and decreased markedly after tumour resection (P < 0.001). The areas under the curve (AUCs) of the ROC curve of the two-miRNA panel were 0.857 (95% CI, 0813-0.901; P < 0.0001) and 0.845 (95% CI, 0.793-0.896; P < 0.0001) for NSCLC and NSCLC stage I, respectively. Furthermore, the panel was able to differentiate NSCLC from benign nodules with an AUC of 0.823 (95% CI, 0.730-0.915; P < 0.0001). Furthermore, logistic regression analysis revealed the two-miRNA panel as an independent risk factor for NSCLC (OR = 16.128, P < 0.0001). In conclusion, miR-520c-3p and miR-1274b have biomarker potential for early diagnosis of NSCLC in multiple centres.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungCase-Control StudiesEarly Detection of CancerFemaleHigh-Throughput Nucleotide SequencingHumansLung NeoplasmsMaleMicroRNAsMiddle AgedReal-Time Polymerase Chain ReactionBiomarkers, TumorMicroRNAsbiomarker; early diagnosiscirculating miRNAsextracellular vesiclesnon-small-cell lung cancer

Identifiers

PMID33340250
PMCPMC8410569
OpenAlexW3115122051

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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.