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: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
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
Renal cell carcinoma (RCC) is a highly aggressive neoplastic disease of the renal parenchyma that is characterized by an intrinsic resistance to cytotoxic chemotherapy; for this reason, curative treatment is only achieved through surgical intervention in its early stages. The successful treatment of advanced or metastatic RCC will require the combined use of novel targeted therapies such as tyrosine kinase inhibitors, vascular endothelial growth factor blockers and immune checkpoint blockade therapies. Unfortunately, not all patients are candidates for such treatments, and at present, it is not possible to predict a patient's therapeutic response or likelihood to develop treatment‑associated complications. The present review described the literature focusing on the use of biomarkers for predicting patients' responses to therapies that induce immune checkpoint blockade in RCC.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.3892/or.2024.8823 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!