scholarly journals Microfluidic chip for non-invasive analysis of tumor cells interaction with anti-cancer drug doxorubicin by AFM and Raman spectroscopy

2018 ◽  
Vol 12 (2) ◽  
pp. 024119 ◽  
Author(s):  
Han Zhang ◽  
Lifu Xiao ◽  
Qifei Li ◽  
Xiaojun Qi ◽  
Anhong Zhou
Keyword(s):  
Raman Spectroscopy ◽  
Tumor Cells ◽  
Microfluidic Chip ◽  
Cancer Drug ◽  
Non Invasive ◽  
Anti Cancer

Biotinylated carboxymethyl chitosan/CaCO3 hybrid nanoparticles for targeted drug delivery to overcome tumor drug resistance

RSC Advances ◽  
2016 ◽  
Vol 6 (73) ◽  
pp. 69083-69093 ◽  
Author(s):  
Jin-Long Wu ◽  
Xiao-Yan He ◽  
Pei-Yuan Jiang ◽  
Meng-Qing Gong ◽  
Ren-Xi Zhuo ◽  
...  
Keyword(s):  
Drug Delivery ◽  
Drug Resistance ◽  
Tumor Cells ◽  
Targeted Drug Delivery ◽  
Carboxymethyl Chitosan ◽  
Hybrid Nanoparticles ◽  
Cancer Drug ◽  
Tumor Drug Resistance ◽  
Anti Cancer ◽  
Targeted Drug

A tumor targeted nano-sized self-assembled drug delivery system could efficiently co-deliver an anti-cancer drug and a drug resistance inhibitor to tumor cells and achieve an improved therapeutic efficiency through inhibition of P-gp function.

scholarly journals Ensemble transfer learning for the prediction of anti-cancer drug response

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Yitan Zhu ◽  
Thomas Brettin ◽  
Yvonne A. Evrard ◽  
Alexander Partin ◽  
Fangfang Xia ◽  
...  
Keyword(s):  
Tumor Cells ◽  
Transfer Learning ◽  
Drug Response ◽  
Prediction Models ◽  
Response Prediction ◽  
Cancer Drug ◽  
Precision Oncology ◽  
Learning Framework ◽  
Prediction Algorithms ◽  
Anti Cancer

Abstract Transfer learning, which transfers patterns learned on a source dataset to a related target dataset for constructing prediction models, has been shown effective in many applications. In this paper, we investigate whether transfer learning can be used to improve the performance of anti-cancer drug response prediction models. Previous transfer learning studies for drug response prediction focused on building models to predict the response of tumor cells to a specific drug treatment. We target the more challenging task of building general prediction models that can make predictions for both new tumor cells and new drugs. Uniquely, we investigate the power of transfer learning for three drug response prediction applications including drug repurposing, precision oncology, and new drug development, through different data partition schemes in cross-validation. We extend the classic transfer learning framework through ensemble and demonstrate its general utility with three representative prediction algorithms including a gradient boosting model and two deep neural networks. The ensemble transfer learning framework is tested on benchmark in vitro drug screening datasets. The results demonstrate that our framework broadly improves the prediction performance in all three drug response prediction applications with all three prediction algorithms.

Anti-Cancer Drug Disguise Fools Tumor Cells

Science News ◽  
1983 ◽  
Vol 123 (24) ◽  
pp. 374
Author(s):  
P. Taulbee
Keyword(s):  
Tumor Cells ◽  
Cancer Drug ◽  
Anti Cancer

scholarly journals A Novel Model of Cancer Drug Resistance: Oncosomal Release of Cytotoxic and Antibody-Based Drugs

Biology ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 47 ◽  
Author(s):  
Takanori Eguchi ◽  
Eman Ahmed Taha ◽  
Stuart K. Calderwood ◽  
Kisho Ono
Keyword(s):  
Drug Resistance ◽  
Tumor Cells ◽  
Epithelial Mesenchymal Transition ◽  
Cancer Drug ◽  
Cell Phenotype ◽  
Mesenchymal Transition ◽  
Cancer Drug Resistance ◽  
Anti Cancer ◽  
Secretory Phenotype ◽  
Novel Model

Extracellular vesicles (EVs), such as exosomes or oncosomes, often carry oncogenic molecules derived from tumor cells. In addition, accumulating evidence indicates that tumor cells can eject anti-cancer drugs such as chemotherapeutics and targeted drugs within EVs, a novel mechanism of drug resistance. The EV-releasing drug resistance phenotype is often coupled with cellular dedifferentiation and transformation in cells undergoing epithelial-mesenchymal transition (EMT), and the adoption of a cancer stem cell phenotype. The release of EVs is also involved in immunosuppression. Herein, we address different aspects by which EVs modulate the tumor microenvironment to become resistant to anticancer and antibody-based drugs, as well as the concept of the resistance-associated secretory phenotype (RASP).

scholarly journals Biochemical Basis of Anti-Cancer-Effects of Phloretin—A Natural Dihydrochalcone

Molecules ◽  
2019 ◽  
Vol 24 (2) ◽  
pp. 278 ◽  
Author(s):  
Bu Choi
Keyword(s):  
Cancer Cells ◽  
Tumor Cells ◽  
Human Cancer ◽  
Cancer Drug ◽  
Biochemical Basis ◽  
Human Cancer Cells ◽  
Anti Cancer ◽  
Anti Inflammatory ◽  
Natural Agent ◽  
Growth Of Tumor

Apple is a rich source of bioactive phytochemicals that help improve health by preventing and/or curing many disease processes, including cancer. One of the apple polyphenols is phloretin [2′,4′,6′-Trihydroxy-3-(4-hydroxyphenyl)-propiophenone], which has been widely investigated for its antioxidant, anti-inflammatory and anti-cancer activities in a wide array of preclinical studies. The efficacy of phloretin in suppressing xenograft tumor growth in athymic nude mice implanted with a variety of human cancer cells, and the ability of the compound to interfere with cancer cells signaling, have made it a promising candidate for anti-cancer drug development. Mechanistically, phloretin has been reported to arrest the growth of tumor cells by blocking cyclins and cyclin-dependent kinases and induce apoptosis by activating mitochondria-mediated cell death. The blockade of the glycolytic pathway via downregulation of GLUT2 mRNA and proteins, and the inhibition of tumor cells migration, also corroborates the anti-cancer effects of phloretin. This review sheds light on the molecular targets of phloretin as a potential anti-cancer and anti-inflammatory natural agent.

Role of 3′ repressor sequences of p53 in anti-cancer drug sensitivity of human lung tumor cells

Gene ◽  
2016 ◽  
Vol 594 (2) ◽  
pp. 190-196 ◽  
Author(s):  
Hui Wang ◽  
Weiying Li ◽  
Baitang Lai ◽  
Xuehui Yang ◽  
Chunyan Zhang ◽  
...  
Keyword(s):  
Tumor Cells ◽  
Drug Sensitivity ◽  
Human Lung ◽  
Lung Tumor ◽  
Cancer Drug ◽  
Human Lung Tumor ◽  
Anti Cancer

Adhesion-based simple capture and recovery of circulating tumor cells using a blood-compatible and thermo-responsive polymer-coated substrate

RSC Advances ◽  
2016 ◽  
Vol 6 (92) ◽  
pp. 89103-89112 ◽  
Author(s):  
Takashi Hoshiba ◽  
Toshihiko Orui ◽  
Chiho Endo ◽  
Kazuhiro Sato ◽  
Ayano Yoshihiro ◽  
...  
Keyword(s):  
Tumor Cells ◽  
Circulating Tumor Cells ◽  
Cancer Biology ◽  
Metastatic Cancer ◽  
Cancer Diagnostics ◽  
Cancer Drug ◽  
Coated Substrate ◽  
Anti Cancer ◽  
Biology Research

Circulating tumor cells (CTCs) have been a focus of study for metastatic cancer diagnostics, in in vitro anti-cancer drug screening to decide the chemotherapeutic course, and cancer biology research.

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