Evidence map›Paper›PMID 38796532›Full record

ArticleCommunications medicine2024

Plasmonic nano-aperture label-free imaging of single small extracellular vesicles for cancer detection.

Nareg Ohannesian, Mohammad Sadman Mallick, Jianzhong He, Yawei Qiao, Nan Li, Simona F Shaitelman, Chad Tang, Eileen H Shinn, Wayne L Hofstetter, Alexei Goltsov and 4 more

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Communications medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Nareg Ohannesian *Department of Electrical and Computer Engineering, University of Houston, 4800 Martin Luther King Blvd., Houston, TX, 77204, USA.
Mohammad Sadman Mallick *Department of Electrical and Computer Engineering, University of Houston, 4800 Martin Luther King Blvd., Houston, TX, 77204, USA.
Jianzhong HeDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Yawei QiaoDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Nan LiDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Simona F ShaitelmanDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Chad TangDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Eileen H ShinnDepartment of Behavioral Science, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.ORCID http://orcid.org/0000-0002-3220-7423
Wayne L HofstetterDepartment of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX, 77030, USA.
Alexei GoltsovDepartment of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX, 77030, USA.
Manal M HassanDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX, 77030, USA.
Kelly K HuntDepartment of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX, 77030, USA.ORCID http://orcid.org/0000-0001-9156-8723
Steven H LinDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA. shlin@mdanderson.org.ORCID http://orcid.org/0000-0003-4411-0634
Wei-Chuan ShihDepartment of Electrical and Computer Engineering, University of Houston, 4800 Martin Luther King Blvd., Houston, TX, 77204, USA. wshih@central.uh.edu.

Funding

Streamlined and comprehensive circulating tumor exosome profiling by microfluidic arrayed nanoplasmonic sensors and actuatorsR01EB030623 · NIBIB · UNIVERSITY OF HOUSTON · PI SHIH, WEI-CHUAN · 2021 to 2025
$3.1M
NIBIB NIH HHS R01 EB030623U.S. Department of Health & Human Services | NIH | Center for Information Technology (Center for Information Technology, National Institutes of Health) R01 EB-030623
6 · The paper itself

Abstract

backgroundSmall extracellular vesicle (sEV) analysis can potentially improve cancer detection and diagnostics. However, this potential has been constrained by insufficient sensitivity, dynamic range, and the need for complex labeling.

methodsIn this study, we demonstrate the combination of PANORAMA and fluorescence imaging for single sEV analysis. The co-acquisition of PANORAMA and fluorescence images enables label-free visualization, enumeration, size determination, and enables detection of cargo microRNAs (miRs).

resultsAn increased sEV count is observed in human plasma samples from patients with cancer, regardless of cancer type. The cargo miR-21 provides molecular specificity within the same sEV population at the single unit level, which pinpoints the sEVs subset of cancer origin. Using cancer cells-implanted animals, cancer-specific sEVs from 20 µl of plasma can be detected before tumors were palpable. The level plateaus between 5-15 absolute sEV count (ASC) per µl with tumors ≥8 mm

conclusionsOur techniques and findings can impact the understanding of cancer biology and the development of new cancer detection and diagnostic technologies.

Identifiers

PMID38796532
PMCPMC11128000

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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.