Phenotype-related drug sensitivity analysis of single CTCs for medicine evaluation.
Phenotype-related drug sensitivity analysis of single CTCs for medicine evaluation.
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用于药物评价的单一 CTC 表型相关药物敏感性分析
DOI:
10.1039/c9sc05566e
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发表时间:
2020-08-10
期刊:
影响因子:
8.4
通讯作者:
Tang B
中科院分区:
文献类型:
--
作者:
Pei H;Yu M;Dong D;Wang Y;Li Q;Li L;Tang B
Due to the heterogeneous and variable drug sensitivity of tumor cells, real-time monitoring of a patient's drug response is desirable for implementing personalized and dynamic therapy. Although considerable efforts have been directed at drug screening in living cells, performing repeated drug sensitivity analysis using patient-derived primary tumor cells at the single-cell level remains challenging. Here, we present an efficient approach to assess phenotype-related drug sensitivity at the single-cell level using patient-derived circulating tumor cells (CTCs) based on a drug sensitivity microfluidic chip (DS-Chip). The DS-Chip consists of a drug gradient generator and parallel cell traps, achieving continuous single CTC capture, drug gradient distributions, drug stimulation, fluorescent probe labeling and three-color fluorescence imaging. Based on the established DS-Chip, we investigated the drug sensitivity of single cells by simultaneously monitoring epithelial–mesenchymal transition (EMT) biomarkers and apoptosis in living cells, and verified the correlation between EMT gradients and drug sensitivity. Using the new approach, we further tested the optimal drug response dose in individual CTCs isolated from 5 cancer patients through fluorescence analysis of EMT and apoptosis. The DS-Chip allows noninvasive and real-time measurements of the drug sensitivity of a patient's tumor cells during therapy. This developed approach has practical significance and can effectively guide drug selection and therapeutic evaluation for personalized medicine. Due to the heterogeneous and variable drug sensitivity of tumor cells, real-time monitoring of a patient's drug response is desirable for implementing personalized and dynamic therapy.
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影响因子:
7.4
作者:
Li Y;Uddayasankar U;He B;Wang P;Qin L
通讯作者:
Qin L
影响因子:
16.6
作者:
Chia S;Low JL;Zhang X;Kwang XL;Chong FT;Sharma A;Bertrand D;Toh SY;Leong HS;Thangavelu MT;Hwang JSG;Lim KH;Skanthakumar T;Tan HK;Su Y;Hui Choo S;Hentze H;Tan IBH;Lezhava A;Tan P;Tan DSW;Periyasamy G;Koh JLY;Gopalakrishna Iyer N;DasGupta R
通讯作者:
DasGupta R
影响因子:
38.3
作者:
Poudineh, Mahla;Aldridge, PeterM.;Kelley, Shana O.
通讯作者:
Kelley, Shana O.
影响因子:
64.8
作者:
Garnett, Mathew J.;Edelman, Elena J.;Heidorn, Sonja J.;Greenman, Chris D.;Dastur, Anahita;Lau, King Wai;Greninger, Patricia;Thompson, I. Richard;Luo, Xi;Soares, Jorge;Liu, Qingsong;Iorio, Francesco;Surdez, Didier;Chen, Li;Milano, Randy J.;Bignell, Graham R.;Tam, Ah T.;Davies, Helen;Stevenson, Jesse A.;Barthorpe, Syd;Lutz, Stephen R.;Kogera, Fiona;Lawrence, Karl;McLaren-Douglas, Anne;Mitropoulos, Xeni;Mironenko, Tatiana;Thi, Helen;Richardson, Laura;Zhou, Wenjun;Jewitt, Frances;Zhang, Tinghu;O'Brien, Patrick;Boisvert, Jessica L.;Price, Stacey;Hur, Wooyoung;Yang, Wanjuan;Deng, Xianming;Butler, Adam;Choi, Hwan Geun;Chang, JaeWon;Baselga, Jose;Stamenkovic, Ivan;Engelman, Jeffrey A.;Sharma, Sreenath V.;Delattre, Olivier;Saez-Rodriguez, Julio;Gray, Nathanael S.;Settleman, Jeffrey;Futreal, P. Andrew;Haber, Daniel A.;Stratton, Michael R.;Ramaswamy, Sridhar;McDermott, Ultan;Benes, Cyril H.
通讯作者:
Benes, Cyril H.
DOI:
10.1126/science.1228522
发表时间:
2013-02-01
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Yu M;Bardia A;Wittner BS;Stott SL;Smas ME;Ting DT;Isakoff SJ;Ciciliano JC;Wells MN;Shah AM;Concannon KF;Donaldson MC;Sequist LV;Brachtel E;Sgroi D;Baselga J;Ramaswamy S;Toner M;Haber DA;Maheswaran S
通讯作者:
Maheswaran S