Evidence map›Paper›PMID 28615226›Full record

ArticleCancer research2017

Raman-Encoded Molecular Imaging with Topically Applied SERS Nanoparticles for Intraoperative Guidance of Lumpectomy.

Yu Winston Wang, Nicholas P Reder, Soyoung Kang, Adam K Glaser, Qian Yang, Matthew A Wall, Sara H Javid, Suzanne M Dintzis, Jonathan T C Liu

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
14.7field-weighted citation impact, top 1% 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

51 citing papers in PubMed, 101 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Design and Synthesis of SERS Materials for In Vivo Molecular Imaging and Biosensing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
  13. Nanoparticle Diagnostics and Theranostics in the Clinic.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022
    Review
  14. Article
  15. Multiplexed imaging in oncology.Nature biomedical engineering · 2022
    Review
  16. Review
  17. Review
  18. Article
  19. Review
  20. Review
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

9 authors at 1 institution in 2 countries.

Yu Winston WangDepartment of Mechanical Engineering, University of Washington, Seattle, Washington. jonliu@uw.edu yuwang2@uw.edu.
Nicholas P RederDepartment of Mechanical Engineering, University of Washington, Seattle, Washington.
Soyoung KangDepartment of Mechanical Engineering, University of Washington, Seattle, Washington.
Adam K GlaserDepartment of Mechanical Engineering, University of Washington, Seattle, Washington.
Qian YangDepartment of Mechanical Engineering, University of Washington, Seattle, Washington.
Matthew A WallDepartment of Mechanical Engineering, University of Washington, Seattle, Washington.
Sara H JavidDepartment of Surgery, University of Washington School of Medicine, Seattle, Washington.
Suzanne M DintzisDepartment of Pathology, University of Washington School of Medicine, Seattle, Washington.
Jonathan T C LiuDepartment of Mechanical Engineering, University of Washington, Seattle, Washington. jonliu@uw.edu yuwang2@uw.edu.
University of Washington · US

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Marian Esvelt · 1985 to 2026
$296.4M
Endoscopic molecular imaging of esophageal cancer with multiplexed Raman nanopartR21EB015016 · NIBIB · UNIVERSITY OF WASHINGTON · PI LIU, JONATHAN T.C. · 2013 to 2014
$493k
Kinetic modeling of multiplexed SERS nanoparticles for quantitative molecular phenotyping (QMP) of breast cancerR21CA215561 · NCI · UNIVERSITY OF WASHINGTON · PI LIU, JONATHAN T.C. · 2017 to 2018
$358k
NCI NIH HHS P30 CA015704NCI NIH HHS R21 CA215561NIBIB NIH HHS R21 EB015016
6 · The paper itself

Abstract

Intraoperative identification of carcinoma at lumpectomy margins would enable reduced re-excision rates, which are currently as high as 20% to 50%. Although imaging of disease-associated biomarkers can identify malignancies with high specificity, multiplexed imaging of such biomarkers is necessary to detect molecularly heterogeneous carcinomas with high sensitivity. We have developed a Raman-encoded molecular imaging (REMI) technique in which targeted nanoparticles are topically applied on excised tissues to enable rapid visualization of a multiplexed panel of cell surface biomarkers at surgical margin surfaces. A first-ever clinical study was performed in which 57 fresh specimens were imaged with REMI to simultaneously quantify the expression of four biomarkers HER2, ER, EGFR, and CD44. Combined detection of these biomarkers enabled REMI to achieve 89.3% sensitivity and 92.1% specificity for the detection of breast carcinoma. These results highlight the sensitivity and specificity of REMI to detect biomarkers in freshly resected tissue, which has the potential to reduce the rate of re-excision procedures in cancer patients.

Indexed as

Breast NeoplasmsFemaleHumansMastectomy, SegmentalMolecular ImagingNanoparticles

Identifiers

PMID28615226
PMCPMC5559330
OpenAlexW2626913208

What OpenQuestion holds

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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.