Photoacoustic detection of circulating melanoma cells in late stage patients.

IF 2.3 3区 医学 Q2 OPTICS Journal of Innovative Optical Health Sciences Pub Date : 2020-11-01 Epub Date: 2020-08-05 DOI:10.1142/s1793545820500236
John A Viator, Marc Hazur, Andrea Sajewski, Ahmad Tarhini, Martin E Sanders, Robert H Edgar
{"title":"Photoacoustic detection of circulating melanoma cells in late stage patients.","authors":"John A Viator,&nbsp;Marc Hazur,&nbsp;Andrea Sajewski,&nbsp;Ahmad Tarhini,&nbsp;Martin E Sanders,&nbsp;Robert H Edgar","doi":"10.1142/s1793545820500236","DOIUrl":null,"url":null,"abstract":"<p><p>Melanoma is the deadliest skin cancer and is responsible for over 7000 deaths in the US annually. The spread of cancer, or metastasis, is responsible for these deaths, as secondary tumors interrupt normal organ function. Circulating tumor cells, or those cells that spread throughout the body from the primary tumor, are thought to be responsible for metastasis. We developed an optical method, photoacoustic flow cytometry, in order to detect and enumerate circulating melanoma cells (CMCs) from blood samples of patients. We tested the blood of Stage IV melanoma patients to show the ability of the photoacoustic flow cytometer to detect these rare cells in blood. We then tested the system on archived blood samples from Stage III melanoma patients with known outcomes to determine if detection of CMCs can predict future metastasis. We detected between 0 and 66 CMCs in Stage IV patients. For the Stage III study, we found that of those samples with CMCs, 2 remained disease free and 5 developed metastasis. Of those without CMCs, 6 remained disease free and 1 developed metastasis. We believe that photoacoustic detection of CMCs provides valuable information for the prediction of metastasis and we postulate a system for more accurate prognosis.</p>","PeriodicalId":16248,"journal":{"name":"Journal of Innovative Optical Health Sciences","volume":"13 6","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8218985/pdf/nihms-1606057.pdf","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Innovative Optical Health Sciences","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1142/s1793545820500236","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/8/5 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"OPTICS","Score":null,"Total":0}
引用次数: 4

Abstract

Melanoma is the deadliest skin cancer and is responsible for over 7000 deaths in the US annually. The spread of cancer, or metastasis, is responsible for these deaths, as secondary tumors interrupt normal organ function. Circulating tumor cells, or those cells that spread throughout the body from the primary tumor, are thought to be responsible for metastasis. We developed an optical method, photoacoustic flow cytometry, in order to detect and enumerate circulating melanoma cells (CMCs) from blood samples of patients. We tested the blood of Stage IV melanoma patients to show the ability of the photoacoustic flow cytometer to detect these rare cells in blood. We then tested the system on archived blood samples from Stage III melanoma patients with known outcomes to determine if detection of CMCs can predict future metastasis. We detected between 0 and 66 CMCs in Stage IV patients. For the Stage III study, we found that of those samples with CMCs, 2 remained disease free and 5 developed metastasis. Of those without CMCs, 6 remained disease free and 1 developed metastasis. We believe that photoacoustic detection of CMCs provides valuable information for the prediction of metastasis and we postulate a system for more accurate prognosis.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
晚期患者循环黑色素瘤细胞的光声检测。
黑色素瘤是最致命的皮肤癌,每年在美国导致7000多人死亡。癌症的扩散或转移是造成这些死亡的原因,因为继发性肿瘤会干扰正常的器官功能。循环肿瘤细胞,或那些从原发肿瘤扩散到全身的细胞,被认为是导致转移的原因。我们开发了一种光学方法,光声流式细胞术,以检测和枚举循环黑色素瘤细胞(cmc)从患者的血液样本。我们测试了IV期黑色素瘤患者的血液,以显示光声流式细胞仪在血液中检测这些罕见细胞的能力。然后,我们在已知预后的III期黑色素瘤患者的存档血液样本上测试了该系统,以确定cmc的检测是否可以预测未来的转移。我们在IV期患者中检测到0 - 66个cmc。在III期研究中,我们发现在那些有cmc的样本中,2个没有疾病,5个发生转移。在没有cmc的患者中,6人没有疾病,1人发生转移。我们相信光声检测cmc为预测转移提供了有价值的信息,我们假设了一个更准确的预后系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Innovative Optical Health Sciences
Journal of Innovative Optical Health Sciences OPTICS-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
CiteScore
4.50
自引率
20.00%
发文量
69
审稿时长
>12 weeks
期刊介绍: JIOHS serves as an international forum for the publication of the latest developments in all areas of photonics in biology and medicine. JIOHS will consider for publication original papers in all disciplines of photonics in biology and medicine, including but not limited to: -Photonic therapeutics and diagnostics- Optical clinical technologies and systems- Tissue optics- Laser-tissue interaction and tissue engineering- Biomedical spectroscopy- Advanced microscopy and imaging- Nanobiophotonics and optical molecular imaging- Multimodal and hybrid biomedical imaging- Micro/nanofabrication- Medical microsystems- Optical coherence tomography- Photodynamic therapy. JIOHS provides a vehicle to help professionals, graduates, engineers, academics and researchers working in the field of intelligent photonics in biology and medicine to disseminate information on the state-of-the-art technique.
期刊最新文献
Label-free in-vivo classification and tracking of red blood cells and platelets using Dynamic-YOLOv4 network Unified deep learning model for predicting fundus fluorescein angiography image from fundus structure image Review of polarization-based technology for biomedical applications Spatial sensitivity to absorption changes for various near-infrared spectroscopy methods: A compendium review Distal-scanning common path probe for optical coherence tomography
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1