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
Summarize the literature assessing biomarkers in predicting efficacy of anti-PD-1 therapy for patients with high-risk unresectable or metastatic melanoma. Relevant studies were identified via a systematic literature review. About 334 unique biomarkers or biomarker combinations were identified from 121 citations. Neutrophil-to-lymphocyte ratio was the most frequently studied biomarker, followed by C-reactive protein. Fifty-nine biomarkers were significantly associated with overall survival (OS), 51 with progression-free survival (PFS) and 44 with response. Twenty biomarkers were associated with both OS and PFS; two were associated with OS, PFS and response (MHC-II and tumor mutational burden). Numerous biomarkers could potentially predict the efficacy of anti-PD-1-based therapy for melanoma patients. However, confirmatory studies are needed as well as determination of implications for clinical decision-making.
Download full-text PDF |
Source |
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http://dx.doi.org/10.2217/fon-2021-0154 | DOI Listing |
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