Evidence map›Paper›PMID 35008424›Full record

ArticleCancers2022

Blood-Derived Extracellular Vesicle-Associated miR-3182 Detects Non-Small Cell Lung Cancer Patients.

Kekoolani S Visan, Richard J Lobb, Shu Wen Wen, Justin Bedo, Luize G Lima, Sophie Krumeich, Carlos Palma, Kaltin Ferguson, Ben Green, Colleen Niland and 10 more

Abstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Current Trends of Raman Spectroscopy in Clinic Settings: Opportunities and Challenges.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  9. Review
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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

20 authors.

Kekoolani S VisanTumour Microenvironment Laboratory, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia.
Richard J LobbTumour Microenvironment Laboratory, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia.
Shu Wen WenCentre for Inflammatory Diseases, Department of Medicine, School of Clinical Sciences, Monash University, Clayton, VIC 3168, Australia.
Justin BedoBioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia.ORCID 0000-0001-5704-0212
Luize G LimaTumour Microenvironment Laboratory, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia.ORCID 0000-0002-4167-6723
Sophie KrumeichTumour Microenvironment Laboratory, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia.
Carlos PalmaExosome Biology Laboratory, Centre for Clinical Diagnostics, UQ Centre for Clinical Research, Royal Brisbane and Women's Hospital, Faculty of Medicine, The University of Queensland, Brisbane QLD 4029, Australia.
Kaltin FergusonUQ Centre for Clinical Research, The University of Queensland, Brisbane, QLD 4072, Australia.
Ben GreenUQ Centre for Clinical Research, The University of Queensland, Brisbane, QLD 4072, Australia.
Colleen NilandUQ Centre for Clinical Research, The University of Queensland, Brisbane, QLD 4072, Australia.
Nicole CloonanFaculty of Science, University of Auckland, Auckland 1010, New Zealand.
Peter T SimpsonUQ Centre for Clinical Research, The University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0002-4816-8289
Amy E McCart ReedUQ Centre for Clinical Research, The University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0001-5387-2791
Sarah J EverittDivision of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia.
Michael P MacManusDivision of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia.ORCID 0000-0002-0900-5815
Gunter HartelStatistics Unit, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia.ORCID 0000-0002-5454-6450
Carlos SalomonExosome Biology Laboratory, Centre for Clinical Diagnostics, UQ Centre for Clinical Research, Royal Brisbane and Women's Hospital, Faculty of Medicine, The University of Queensland, Brisbane QLD 4029, Australia.ORCID 0000-0003-4474-0046
Sunil R LakhaniUQ Centre for Clinical Research, The University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0003-4067-2760
David FieldingUQ Centre for Clinical Research, The University of Queensland, Brisbane, QLD 4072, Australia.
Andreas MöllerTumour Microenvironment Laboratory, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia.ORCID 0000-0002-8618-6998

Funding

National Breast Cancer Foundation IIRS-18-159National Health and Medical Research Council 1185907National Health and Medical Research Council APP1068510Royal Brisbane and Women's Hospital Foundation 2014000502
6 · The paper itself

Abstract

With five-year survival rates as low as 3%, lung cancer is the most common cause of cancer-related mortality worldwide. The severity of the disease at presentation is accredited to the lack of early detection capacities, resulting in the reliance on low-throughput diagnostic measures, such as tissue biopsy and imaging. Interest in the development and use of liquid biopsies has risen, due to non-invasive sample collection, and the depth of information it can provide on a disease. Small extracellular vesicles (sEVs) as viable liquid biopsies are of particular interest due to their potential as cancer biomarkers. To validate the use of sEVs as cancer biomarkers, we characterised cancer sEVs using miRNA sequencing analysis. We found that miRNA-3182 was highly enriched in sEVs derived from the blood of patients with invasive breast carcinoma and NSCLC. The enrichment of sEV miR-3182 was confirmed in oncogenic, transformed lung cells in comparison to isogenic, untransformed lung cells. Most importantly, miR-3182 can successfully distinguish early-stage NSCLC patients from those with benign lung conditions. Therefore, miR-3182 provides potential to be used for the detection of NSCLC in blood samples, which could result in earlier therapy and thus improved outcomes and survival for patients.

Indexed as

biomarkersdiagnosisexosomesextracellular vesiclesliquid biopsymiRNAnon-small cell lung cancer

Identifiers

PMID35008424
PMCPMC8750562

What OpenQuestion holds

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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.