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
We investigated the expression of proliferating cell nuclear antigen (PCNA) and the number of nucleolar organizer regions (NORs) in 82 cases of CNS tumors. PCNA is a nuclear protein maximally elevated in the S phase of the cell cycle and recognized immunohistochemically in paraffin sections by the monoclonal antibody PC-10. On the other hand, NORs are loops of DNA that carry the rRNA genes and can be demonstrated in paraffin sections using an argyrophilic method (AgNORs). The present study shows a significant correlation of PCNA index and of AgNOR number with the histological grade (PCNA: I versus II, p < 0.01; II versus III, p < 0.01; and III versus IV, p < 0.05; AgNORs: I versus II, p < 0.001; II versus III, p < 0.05; and III versus IV, p < 0.001). Higher values of PCNA index (0.01 < p < 0.05) were found in recurrent tumors. Metastatic carcinomas were characterized by high PCNA indices and AgNOR numbers, similar to grade IV tumors, whereas in CNS lymphomas the malignancy grade was reflected in PCNA indices and AgNOR numbers. A wide range of PCNA and AgNOR values has been observed within each histological type and grade, probably reflecting variations in the biological behavior, but little overlap in PCNA values was present between grades II and III. The latter finding might be of importance in distinguishing between low- and high-grade CNS tumors. The linear regression coefficient between PCNA index and AgNOR number was excellent (0.91). We suggest that PCNA and AgNORs may be successfully applied in routine material to assess the growth potential of CNS tumors. Their prognostic value, however, must be validated with clinical studies.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1097/00000478-199309000-00007 | DOI Listing |
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