ARTICANZ - Beta (ver 0.91)

Annotated Registry of Trials in Cancer, Australia and New Zealand Ed. - Results - target/anti-ERBB2-monoclonal-antibody

ARTICANZ (Annotated Registry of Trials in Cancer, Australia/NZ Edition; ARTificial Intelligence-enhanced CANcer trial information database) provides information about cancer drug trials in Australia and New Zealand as a free, open-information platform. Please note the following:

Data Accuracy: While ARTICANZ strives to maintain accurate and up-to-date information through regular weekly updates and specialist review, we cannot guarantee the complete accuracy, reliability, or timeliness of all data. Information may change between updates.
Not Medical Advice: The information provided by ARTICANZ is for informational purposes only and should not be considered medical advice. All clinical decisions should be made in consultation with qualified healthcare professionals.
No Warranty: ARTICANZ is provided "as is" without any warranties, expressed or implied. We disclaim all liability for any damages arising from the use of or inability to use this platform.
External Links: ARTICANZ may contain links to external websites. We are not responsible for the content or privacy practices of these sites.

By using ARTICANZ, you acknowledge that you have read and understood this disclaimer.

The ARTICANZ platform and its contents are made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

Users are free to:

Share — copy and redistribute the data in any medium or format
Adapt — remix, transform, and build upon the data
Use the data for any purpose, including commercial use

Under the following terms:

Attribution — You must give appropriate credit to ARTICANZ, provide a link to the license, and indicate if changes were made
No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits

Platform developed and currently maintained by Dr. Frank Lin and the ARTICANZ team.

ERBB2	100%
PD-1/PD-L1	38%
PD-1	25%
CDK4	25%
CDK6	25%
ER	25%
PI3Kalpha	25%
VEGF	25%
oestrogen axis	25%
TIGIT	13%
EGFR	13%
SMO	13%
TLR7/TLR8	13%
AKT	13%
CDK7	13%
PD-L1	13%
mTOR	13%
mTORC1	13%

ARTICANZ - Beta (ver 0.91)

Search results

target/anti-ERBB2-monoclonal-antibody

Filters