Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
The mixed patient responses to antibodies targeting immune checkpoint proteins (e.g., CTLA-4, PD-1, PD-L1) have generated tremendous interest in discovering biomarkers that predict which patients will best respond to these treatments. To complement molecular biomarkers obtained from biopsies, the nuclear medicine community has begun developing radiopharmaceuticals that may provide a more holistic assessment of the biological character of all disease sites in patients. On the leading edge of clinical translation are a spectrum of radiolabeled antibodies targeting immune checkpoint proteins or T cell-specific antigens. The adoption of these reagents requires development of efficient and versatile methods for antibody bioconjugation and radiochemistry. We report herein protocols for the preparation of an anti-PD-L1 IgG1 (termed C4) labeled with zirconium-89. The approach is time and cost economical, high yielding, and adaptable to numerous antibody clones and platforms of interest to the immune-oncology community. Included also are representative methods for characterizing the pharmacology of the antibody post bioconjugation, and conducting an in vivo assessment of radiotracer biodistribution in tumor bearing mouse models.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1007/978-1-0716-1803-5_44 | DOI Listing |
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