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
Objectives/hypothesis: To find biomarkers associated with response to radiotherapy in laryngeal cancer that can be used together with clinical parameters to improve outcome prediction.
Methods: In this study, 26 patients irradiated for laryngeal carcinomas with a local recurrence within two years (cases) and 33 patients without recurrence (controls) were included. All pretreatment biopsies were arrayed onto a tissue array. Immunohistochemistry was performed for 13 biomarkers that were selected from the literature as potential predictors for radioresponse in head and neck (HN) cancer: Bcl-2, Bcl-xL, p16, p21, p27, p53, cyclin D1, HIF-1alpha, CA9, COX-2, EGFR, ki-67, and pRB.
Results: Univariate logistic regression models showed borderline statistically significant increased relative risks, with positivity for CA9, COX-2, and p53. Goeman's global testing revealed an overall association between outcome and the 13 markers together with clinical variables. The most important markers were CA9 and COX-2.
Conclusions: In laryngeal carcinoma, hypoxia and COX-2 overexpression provide a stronger contribution to an increased risk of local recurrence after radiotherapy compared with the well-known candidate markers p53, Bcl-2, and cyclin D1. However, no robust expression profile for the prediction of radioresistance was found.
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Source |
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http://dx.doi.org/10.1002/lary.20069 | DOI Listing |
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