Evidence map›Paper›PMID 32265989›Full record

ArticleFrontiers in genetics2020

Non-invasive Detection of Exosomal MicroRNAs via Tethered Cationic Lipoplex Nanoparticles (tCLN) Biochip for Lung Cancer Early Detection.

Chang Liu, Eric Kannisto, Guan Yu, Yunchen Yang, Mary E Reid, Santosh K Patnaik, Yun Wu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 5 pooled it
2.7field-weighted citation impact, top 9% 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

27 citing papers in PubMed, 5 syntheses or guidelines pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. 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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  19. Circulating exosomal miRNAs and cancer early diagnosis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2022
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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

7 authors at 2 institutions in 1 country.

Chang LiuDepartment of Biomedical Engineering, University at Buffalo - The State University of New York, Buffalo, NY, United States.
Eric KannistoDepartment of Thoracic Surgery, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States.
Guan YuDepartment of Biostatistics, University at Buffalo - The State University of New York, Buffalo, NY, United States.
Yunchen YangDepartment of Biomedical Engineering, University at Buffalo - The State University of New York, Buffalo, NY, United States.
Mary E ReidDepartment of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States.
Santosh K PatnaikDepartment of Thoracic Surgery, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States.
Yun WuDepartment of Biomedical Engineering, University at Buffalo - The State University of New York, Buffalo, NY, United States.
University at Buffalo, State University of New York · USRoswell Park Comprehensive Cancer Center · US

Funding

Two-Spirit Films in Indigenous Cancer HealthP30CA016056 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI Dean G. Tang · 1985 to 2026
$116.6M
Noninvasive detection of circulating RNAs for lung cancer early detection and prognosisR33CA191245 · NCI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI WU, YUN · 2015 to 2018
$1.3M
MicroRNA profiling to predict recurrence after resection of early lung cancerK23CA149076 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI YENDAMURI, SAIKRISHNA · 2011 to 2016
$937k
NCI NIH HHS K23 CA149076NCI NIH HHS P30 CA016056NCI NIH HHS R33 CA191245
6 · The paper itself

Abstract

Circulating microRNAs carried by exosomes have emerged as promising diagnostic biomarkers for cancer because of their abundant amount and remarkable stability in body fluids. Exosomal microRNAs in blood are typically quantified using the RNA isolation-qRT-PCR workflow, which cannot distinguish circulating microRNAs secreted by cancer cells from those released by non-tumor cells, making it potentially less sensitive in detecting cancer-specific microRNA biomarkers. We have developed a sensitive and simple tethered cationic lipoplex nanoparticles (tCLN) biochip to detect exosomal microRNAs in human sera. The tCLN biochip allows the discrimination of tumor-derived exosomes from their non-tumor counterparts, and thus achieves higher detection sensitivity and specificity than qRT-PCR. We have demonstrated the clinical utility of the tCLN biochip in lung cancer diagnosis using sera from normal controls, therapy-naive early stage and late stage non-small cell lung cancer (NSCLC) patients. Total five microRNAs (miR-21, miR-25, miR-155, miR-210, and miR-486) were selected as the biomarkers. Each microRNA biomarker measured by tCLN assay showed higher sensitivity and specificity in lung cancer detection than that measured by qRT-PCR. When all five microRNAs were combined, the tCLN assay distinguished normal controls from all NSCLC patients with sensitivity of 0.969, specificity of 0.933 and AUC of 0.970, and provided much better diagnostic accuracy than qRT-PCR (sensitivity = 0.469, specificity = 1.000, AUC = 0.791). Remarkably, the tCLN assay achieved absolute sensitivity and specificity in discriminating early stage NSCLC patients from normal controls, demonstrating its great potential as a liquid biopsy assay for lung cancer early detection.

Indexed as

cancer biomarkercirculating microRNAsexosomesliquid biopsylung cancer

Identifiers

PMID32265989
PMCPMC7100709
OpenAlexW3011259194

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.