Evidence map›Paper›PMID 32557708›Full record

ArticleLasers in surgery and medicine2021

Predicting Metastasis in Melanoma by Enumerating Circulating Tumor Cells Using Photoacoustic Flow Cytometry.

Robert H Edgar, Ahmad Tarhini, Cindy Sander, Martin E Sanders, Justin L Cook, John A Viator

Abstract read
In one paragraph

Article in Lasers in surgery and medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
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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

6 authors.

Robert H EdgarDepartment of Engineering, Duquesne University, Pittsburgh, Pennsylvania, 15282.
Ahmad TarhiniH. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, 33612.
Cindy SanderHillman Cancer Center, University of Pittsburgh Medical Center, 5115 Centre Ave, Pittsburgh, Pennsylvania, 15232.
Martin E SandersAcousys Biodevices Inc., 1777 Highland Drive, Ann Arbor, Michigan, 48108.
Justin L CookDepartment of Engineering, Duquesne University, Pittsburgh, Pennsylvania, 15282.
John A ViatorDepartment of Engineering, Duquesne University, Pittsburgh, Pennsylvania, 15282.ORCID 0000-0003-2362-5612

Funding

Photoacoustic detection, capture, and analysis of circulating melanoma cellsR01CA182840 · NCI · DUQUESNE UNIVERSITY · PI VIATOR, JOHN A. · 2014 to 2018
$1.4M
NCI NIH HHS 1R01CA161367-01NCI NIH HHS R01 CA182840Pennsylvania Department of Health PA-CUREPennsylvania Department of Health Viator
6 · The paper itself

Abstract

BACKGROUND AND

objectivesEnumerating circulating tumor cells has been used as a method of monitoring progression of various cancers. Various methods for detecting circulating melanoma cells (CMCs) have been reported, but none has had sufficient sensitivity to determine if the presence of rare CMCs in the blood of Stage I-III melanoma patients predicts if those patients eventually develop metastatic disease. STUDY

designWe quantified CMCs in serial blood samples from 38 early stage melanoma patients to determine if CMC numbers predict development of metastatic melanoma. CMCs were enumerated using a photoacoustic flow cytometric detection system that uses a laser to induce high frequency acoustic signals in pigmented CMCs.

resultsWe observed that detection of greater than 2 CMCs/ml of blood from patients with Stage I-III melanoma predicts metastatic disease. Of the 11 patients we studied who had two or fewer CMCs detected at all time points tested, none progressed to metastatic disease over a mean follow-up of 1288 days. In contrast, 18 of the 27 patients (67%) having more than 2 CMCs/ml at one or more time points progressed to metastatic disease over a mean follow-up of 850 days.

conclusionsPhotoacoustic flow cytometry can detect rare CMCs in the blood of Stage I-III melanoma patients and detectionof these cells is predictive of subsequent development of metastatic disease. Lasers Surg. Med.

Indexed as

MelanomaNeoplastic Cells, CirculatingSkin NeoplasmsFlow CytometryHumanscancer stagingmicrofluidicoptoacoustics

Identifiers

PMID32557708
PMCPMC7746591

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Registered trials

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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.