Results 101 to 110 of about 156,609 (316)

Systematic profiling of cancer‐fibroblast interactions reveals drug combinations in ovarian cancer

Molecular Oncology, EarlyView.
Fibroblasts, cells in the tumor environment, support ovarian cancer cell growth and alter morphology and drug response. We used fibroblast and cancer cell co‐culture models to test 528 drugs and discovered new drugs for combination treatment. We showed that adding Vorinostat or Birinapant to standard chemotherapy may improve drug response, suggesting ...
Greta Gudoityte, Osheen Sharma, Laura Leuenberger, Emelie Wallin, Josefin Fernebro, Päivi Östling, Rebecka Bergström, Johan Lindberg, Ulrika Joneborg, Olli Kallioniemi, Brinton Seashore‐Ludlow   +10 more
wiley   +1 more source

Dose‐dependent induction of epithelial‐mesenchymal transition in 3D melanoma models by non‐thermal plasma treatment

Molecular Oncology, EarlyView.
Non‐thermal plasma treatment of melanoma cells induced epithelial‐mesenchymal transition (EMT) in a dose‐dependent fashion. This report highlights the critical need to further investigate potential adverse effects of non‐thermal plasma for cancer therapy and to optimize treatment parameters for clinical translation. Despite the promising results of non‐
Eline Biscop, Edgar Cardenas De La Hoz, Hanne Verswyvel, Joey De Backer, Ho Wa Lau, Angela Privat‐Maldonado, Wim Vanden Berghe, Steve Vanlanduit, Evelien Smits, Annemie Bogaerts, Abraham Lin   +10 more
wiley   +1 more source

Loss of primary cilia promotes EphA2‐mediated endothelial‐to‐mesenchymal transition in the ovarian tumor microenvironment

Molecular Oncology, EarlyView.
Loss of primary cilia in endothelial cells promotes EndMT and vascular abnormalities in the ovarian tumor microenvironment through EphA2 activation. Using human samples, in vitro models, and endothelial‐specific Kif3a‐knockout mice, we show that primary cilia loss drives the acquisition of cancer‐associated fibroblast‐like phenotypes, thereby ...
Jin Gu Cho, Yubin Hah, Eunsik Yun, Hye In Ka, Aram Lee, Sora Han, Dawn Lee, Sung Wook Kim, Jong Hoon Park, Byung Su Kwon, Young Yang, Jongmin Kim   +11 more
wiley   +1 more source

IDSGAN: Generative Adversarial Networks for Attack Generation against Intrusion Detection

, 2019
As an important tool in security, the intrusion detection system bears the responsibility of the defense to network attacks performed by malicious traffic.
Lin, Zilong, Shi, Yong, Xue, Zhi
core  

The subcellular distribution of phosphorylated Y‐box‐binding protein‐1 at S102 in colorectal cancer patients, stratified by KRAS mutational status and clinicopathological features

Molecular Oncology, EarlyView.
This study identifies nuclear YB‐1 S102 phosphorylation as a marker associated with KRAS and FBXW7 mutations in colorectal cancer. Mutated KRAS correlates specifically with nuclear, not cytoplasmic, S102 YB‐1. These findings provide the first ex vivo evidence of this link in CRC and suggest future studies should assess the prognostic and therapeutic ...
Konstanze Lettau, Stephan Forchhammer, Birgit Fehrenbacher, Lejla Mahmutovic, Marcus Scharpf, Gunnar Blumenstock, Martin Schaller, Irina Bonzheim, Shayan Khozooei, Mahmoud Toulany   +9 more
wiley   +1 more source

Classification Trees as a Technique for Creating Anomaly-Based Intrusion Detection Systems [PDF]

, 2009
Intrusion detection is a critical component of security information systems. The intrusion detection process attempts to detect malicious attacks by examining various data collected during processes on the protected system.
Jecheva, Veselina, Nikolova, Evgeniya
core  

A nucleotide‐independent, pan‐RAS‐targeted DARPin elicits anti‐tumor activity in a multimodal manner

Molecular Oncology, EarlyView.
We report a Designed Ankyrin Repeat Protein that binds and inhibits RAS proteins, which serve as central cell signaling hubs and are essential for the progression of many cancers. Its unique feature is that it does not discriminate between different RAS isoforms or mutations and is capable of binding to RAS in both its active (GTP‐bound) and inactive ...
Jonas N. Kapp, Wouter P. R. Verdurmen, Jonas V. Schaefer, Kari Kopra, Gabriela Nagy‐Davidescu, Elodie Richard, Marie‐Julie Nokin, Patrick Ernst, Rastislav Tamaskovic, Martin Schwill, Ralph Degen, Claudia Scholl, David Santamaria, Andreas Plückthun   +13 more
wiley   +1 more source

Multi-objective optimization algorithms for intrusion detection in IoT networks: A systematic review

Internet of Things and Cyber-Physical Systems
The significance of intrusion detection systems in networks has grown because of the digital revolution and increased operations. The intrusion detection method classifies the network traffic as threat or normal based on the data features.
Shubhkirti Sharma, Vijay Kumar, Kamlesh Dutta   +2 more
doaj   +1 more source

Analysis And Evaluation Snort, Bro, and Suricata as Intrusion Detection System Based on Linux Server [PDF]

, 2014
Security and confidentiality of data on computer networks is currently a problem that continues to grow. Installation of firewalls, antivirus, IDS (Intrusion Detection System) / IPS (Intrusion Prevention System) and various other security applications
, Fatah Yasin Al Irsyadi, S.T., M.T, , Yusuf Sulistyo Nugroho, S.T., M.Eng., Ridho, M. Faqih   +2 more
core  

A framework for constructing features and models for intrusion detection systems [PDF]

, 2000
Wenke Lee, Salvatore J. Stolfo
openalex   +1 more source