Diaza- and Triazachrysenes: Potent Topoisomerase-Targeting Agents with Exceptional Antitumor Activity Against the Human Tumor Xenograft, MDA-MB-435

ChemInform ◽  
2003 ◽  
Vol 34 (9) ◽  
Author(s):  
Alexander L. Ruchelman ◽  
Sudhir K. Singh ◽  
Xiaohua Wu ◽  
Abhijit Ray ◽  
Jin-Ming Yang ◽  
...  
Keyword(s):  
Antitumor Activity ◽  
Human Tumor ◽  
Tumor Xenograft ◽  
Human Tumor Xenograft

Abstract A247: Preclinical antitumor activity of the MEK inhibitor RO5068760 in human tumor xenograft models

2009 ◽  
Author(s):  
Higgins Brian ◽  
Kenneth Kolinsky ◽  
Sherif Daouti ◽  
Christine Rizzo ◽  
Huisheng Wang ◽  
...  
Keyword(s):  
Antitumor Activity ◽  
Human Tumor ◽  
Mek Inhibitor ◽  
Tumor Xenograft ◽  
Human Tumor Xenograft ◽  
Xenograft Models

scholarly journals GSK1070916, a potent Aurora B/C kinase inhibitor with broad antitumor activity in tissue culture cells and human tumor xenograft models

2009 ◽  
Vol 8 (7) ◽  
pp. 1808-1817 ◽  
Author(s):  
Mary Ann Hardwicke ◽  
Catherine A. Oleykowski ◽  
Ramona Plant ◽  
Jamin Wang ◽  
Qiaoyin Liao ◽  
...  
Keyword(s):  
Tissue Culture ◽  
Antitumor Activity ◽  
Kinase Inhibitor ◽  
Human Tumor ◽  
Tumor Xenograft ◽  
Aurora B ◽  
Human Tumor Xenograft ◽  
Culture Cells ◽  
Tissue Culture Cells ◽  
Xenograft Models

Diaza- and triazachrysenes: potent topoisomerase-targeting agents with exceptional antitumor activity against the human tumor xenograft, MDA-MB-435

2002 ◽  
Vol 12 (22) ◽  
pp. 3333-3336 ◽  
Author(s):  
Alexander L. Ruchelman ◽  
Sudhir K. Singh ◽  
Xiaohua Wu ◽  
Abhijit Ray ◽  
Jin-Ming Yang ◽  
...  
Keyword(s):  
Antitumor Activity ◽  
Human Tumor ◽  
Tumor Xenograft ◽  
Human Tumor Xenograft

Antitumor activity of erlotinib in combination with capecitabine in human tumor xenograft models

2005 ◽  
Vol 57 (5) ◽  
pp. 693-702 ◽  
Author(s):  
Kaori F. -Ouchi ◽  
Mieko Yanagisawa ◽  
Fumiko Sekiguchi ◽  
Yutaka Tanaka
Keyword(s):  
Antitumor Activity ◽  
Human Tumor ◽  
Tumor Xenograft ◽  
Human Tumor Xenograft ◽  
Xenograft Models

scholarly journals Force estimation from 4D OCT data in a human tumor xenograft mouse model

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Maximilian Neidhardt ◽  
Nils Gessert ◽  
Tobias Gosau ◽  
Julia Kemmling ◽  
Susanne Feldhaus ◽  
...  
Keyword(s):  
Deep Learning ◽  
Mouse Model ◽  
Haptic Feedback ◽  
Human Tumor ◽  
Tumor Xenograft ◽  
Human Tumor Xenograft ◽  
Force Estimation ◽  
Xenograft Mouse Model ◽  
Dead Tissue

AbstractMinimally invasive robotic surgery offer benefits such as reduced physical trauma, faster recovery and lesser pain for the patient. For these procedures, visual and haptic feedback to the surgeon is crucial when operating surgical tools without line-of-sight with a robot. External force sensors are biased by friction at the tool shaft and thereby cannot estimate forces between tool tip and tissue. As an alternative, vision-based force estimation was proposed. Here, interaction forces are directly learned from deformation observed by an external imaging system. Recently, an approach based on optical coherence tomography and deep learning has shown promising results. However, most experiments are performed on ex-vivo tissue. In this work, we demonstrate that models trained on dead tissue do not perform well in in vivo data. We performed multiple experiments on a human tumor xenograft mouse model, both on in vivo, perfused tissue and dead tissue. We compared two deep learning models in different training scenarios. Training on perfused, in vivo data improved model performance by 24% for in vivo force estimation.

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