Evidence map›Paper›PMID 27832253›Full record

ArticleJournal of biomedical optics2017

Label-free high-throughput detection and quantification of circulating melanoma tumor cell clusters by linear-array-based photoacoustic tomography.

Pengfei Hai, Yong Zhou, Ruiying Zhang, Jun Ma, Yang Li, Jin-Yu Shao, Lihong V Wang

Open access · bronzeAbstract read
In one paragraph

Article in Journal of biomedical optics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

  1. Pooled it
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  5. Article
  6. Prospects for Fluorescence MolecularFrontiers in photonics · 2022
    Article
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  10. Review
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  13. Detection of Apoptotic Circulating Tumor Cells Using in vivo Fluorescence Flow Cytometry.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2019
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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 1 institution in 1 country.

Pengfei Hai
Yong Zhou
Ruiying ZhangWashington University in St. Louis, Department of Biomedical Engineering, Optical Imaging Laboratory, One Brookings Drive, St. Louis, Missouri 63130, United States.
Jun MaWashington University in St. Louis, Department of Biomedical Engineering, Optical Imaging Laboratory, One Brookings Drive, St. Louis, Missouri 63130, United States.
Yang LiWashington University in St. Louis, Department of Biomedical Engineering, Optical Imaging Laboratory, One Brookings Drive, St. Louis, Missouri 63130, United States.
Jin-Yu ShaoWashington University in St. Louis, Department of Biomedical Engineering, Optical Imaging Laboratory, One Brookings Drive, St. Louis, Missouri 63130, United States.
Lihong V WangWashington University in St. Louis, Department of Biomedical Engineering, Optical Imaging Laboratory, One Brookings Drive, St. Louis, Missouri 63130, United States.
Washington University in St. Louis · US

Funding

IN VIVO IMAGING OF SINGLE CIRCULATING CELLSR01CA186567 · NCI · WASHINGTON UNIVERSITY · PI WANG, LIHONG · 2013 to 2017
$3.6M
HIGH-FREQUENCY ULTRASONIC AND PHOTOACOUSTIC IMAGING SYSTEMS10RR026922 · NCRR · WASHINGTON UNIVERSITY · PI WANG, LIHONG · 2011 to 2011
$599k
NCI NIH HHS R01 CA186567NCRR NIH HHS S10 RR026922
6 · The paper itself

Abstract

Circulating tumor cell (CTC) clusters, arising from multicellular groupings in a primary tumor, greatly elevate the metastatic potential of cancer compared with single CTCs. High-throughput detection and quantification of CTC clusters are important for understanding the tumor metastatic process and improving cancer therapy. Here, we applied a linear-array-based photoacoustic tomography (LA-PAT) system and improved the image reconstruction for label-free high-throughput CTC cluster detection and quantification <italic<in vivo</italic<. The feasibility was first demonstrated by imaging CTC cluster <italic<ex vivo</italic<. The relationship between the contrast-to-noise ratios (CNRs) and the number of cells in melanoma tumor cell clusters was investigated and verified. Melanoma CTC clusters with a minimum of four cells could be detected, and the number of cells could be computed from the CNR. Finally, we demonstrated imaging of injected melanoma CTC clusters in rats <italic<in vivo</italic<. Similarly, the number of cells in the melanoma CTC clusters could be quantified. The data showed that larger CTC clusters had faster clearance rates in the bloodstream, which agreed with the literature. The results demonstrated the capability of LA-PAT to detect and quantify melanoma CTC clusters <italic<in vivo</italic< and showed its potential for tumor metastasis study and cancer therapy.

Indexed as

Photoacoustic TechniquesTomographyAnimalsCell CountMelanomaNeoplastic Cells, CirculatingRats

Identifiers

PMID27832253
PMCPMC5995136
OpenAlexW2549268291

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.