Evidence map›Paper›PMID 35366907›Full record

ArticleJournal of nanobiotechnology2022

Identification and evaluation of circulating small extracellular vesicle microRNAs as diagnostic biomarkers for patients with indeterminate pulmonary nodules.

Di Zheng, Yuming Zhu, Jiyang Zhang, Wei Zhang, Huizhen Wang, Hao Chen, Chunyan Wu, Jian Ni, Xiaoya Xu, Baoning Nian and 11 more

Open access · goldAbstract read
In one paragraph

Article in Journal of nanobiotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Review
  17. Review
  18. Review
  19. Article
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

21 authors at 3 institutions in 1 country.

Di Zheng *Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Yangpu District, Shanghai, 200433, China.
Yuming Zhu *Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Yangpu District, Shanghai, 200433, China.
Jiyang Zhang *3D Medicines Inc, Building 2A, No. 158 Xin Junhuan Road, Pujiang Hi-tech Park, Shanghai, 201114, China.
Wei Zhang *3D Medicines Inc, Building 2A, No. 158 Xin Junhuan Road, Pujiang Hi-tech Park, Shanghai, 201114, China.
Huizhen Wang3D Medicines Inc, Building 2A, No. 158 Xin Junhuan Road, Pujiang Hi-tech Park, Shanghai, 201114, China.
Hao Chen3D Medicines Inc, Building 2A, No. 158 Xin Junhuan Road, Pujiang Hi-tech Park, Shanghai, 201114, China.
Chunyan WuDepartment of Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China.
Jian NiDepartment of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Yangpu District, Shanghai, 200433, China.
Xiaoya Xu3D Medicines Inc, Building 2A, No. 158 Xin Junhuan Road, Pujiang Hi-tech Park, Shanghai, 201114, China.
Baoning Nian3D Medicines Inc, Building 2A, No. 158 Xin Junhuan Road, Pujiang Hi-tech Park, Shanghai, 201114, China.
Sheng Chen3D Medicines Inc, Building 2A, No. 158 Xin Junhuan Road, Pujiang Hi-tech Park, Shanghai, 201114, China.
Beibei Wang3D Medicines Inc, Building 2A, No. 158 Xin Junhuan Road, Pujiang Hi-tech Park, Shanghai, 201114, China.
Xiaofang Li3D Medicines Inc, Building 2A, No. 158 Xin Junhuan Road, Pujiang Hi-tech Park, Shanghai, 201114, China.
Yanan Zhang3D Medicines Inc, Building 2A, No. 158 Xin Junhuan Road, Pujiang Hi-tech Park, Shanghai, 201114, China.
Jiatao ZhangGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Wenzhao ZhongGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Lei Xiong3D Medicines Inc, Building 2A, No. 158 Xin Junhuan Road, Pujiang Hi-tech Park, Shanghai, 201114, China.
Fugen Li3D Medicines Inc, Building 2A, No. 158 Xin Junhuan Road, Pujiang Hi-tech Park, Shanghai, 201114, China.
Dadong Zhang3D Medicines Inc, Building 2A, No. 158 Xin Junhuan Road, Pujiang Hi-tech Park, Shanghai, 201114, China. dadong.zhang@3dmedcare.com.
Jianfang XuDepartment of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Yangpu District, Shanghai, 200433, China. xujianfang63@aliyun.com.
Gening JiangDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Yangpu District, Shanghai, 200433, China. geningjiang@tongji.edu.cn.ORCID http://orcid.org/0000-0002-1351-3409
Tongji University · CNGuangdong Academy of Medical Sciences · CNDahua Hospital · CN

Funding

Shanghai Metropolitan Key Program No. 16CR2016A
6 · The paper itself

Abstract

backgroundThe identification of indeterminate pulmonary nodules (IPNs) following a low-dose computed tomography (LDCT) is a major challenge for early diagnosis of lung cancer. The inadequate assessment of IPNs' malignancy risk results in a large number of unnecessary surgeries or an increased risk of cancer metastases. However, limited studies on non-invasive diagnosis of IPNs have been reported.

methodsIn this study, we identified and evaluated the diagnostic value of circulating small extracellular vesicle (sEV) microRNAs (miRNAs) in patients with IPNs that had been newly detected using LDCT scanning and were scheduled for surgery. Out of 459 recruited patients, 109 eligible patients with IPNs were enrolled in the training cohort (n = 47) and the test cohort (n = 62). An external cohort (n = 99) was used for validation. MiRNAs were extracted from plasma sEVs, and assessed using Small RNA sequencing. 490 lung adenocarcinoma samples and follow-up data were used to investigate the role of miRNAs in overall survival.

resultsA circulating sEV miRNA (CirsEV-miR) model was constructed from five differentially expressed miRNAs (DEMs), showing 0.920 AUC in the training cohort (n = 47), and further identified in the test cohort (n = 62) and in an external validation cohort (n = 99). Among five DEMs of the CirsEV-miR model, miR-101-3p and miR-150-5p were significantly associated with better overall survival (p = 0.0001 and p = 0.0069). The CirsEV-miR scores were calculated, which significantly correlated with IPNs diameters (p < 0.05), and were able to discriminate between benign and malignant PNs (diameter ≤ 1 cm). The expression patterns of sEV miRNAs in the benign, adenocarcinoma in situ/minimally invasive adenocarcinoma, and invasive adenocarcinoma subgroups were found to gradually change with the increase in aggressiveness for the first time. Among all DEMs of the three subgroups, five miRNAs (miR-30c-5p, miR-30e-5p, miR-500a-3p, miR-125a-5p, and miR-99a-5p) were also significantly associated with overall survival of lung adenocarcinoma patients.

conclusionsOur results indicate that the CirsEV-miR model could help distinguish between benign and malignant PNs, providing insights into the feasibility of circulating sEV miRNAs in diagnostic biomarker development.

trial registrationChinese Clinical Trials: ChiCTR1800019877. Registered 05 December 2018, https://www.chictr.org.cn/showproj.aspx?proj=31346 .

Indexed as

Circulating MicroRNAExtracellular VesiclesMicroRNAsBiomarkers, TumorEarly Detection of CancerHumansBiomarkers, TumorCirculating MicroRNAMicroRNAsIndeterminate pulmonary noduleLow-dose computed tomographymicroRNASmall extracellular vesicleSmall RNA sequencing

Identifiers

PMID35366907
PMCPMC8976298
OpenAlexW4225504938

What OpenQuestion holds

Textmetadata
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.