Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Diagnosing central nervous system (CNS) tumours post-radiation therapy is often complicated by treatment-induced histological changes. Molecular diagnostics, such as methylation profiling, offer robust tools to aid in accurate tumour classification. The present study reported a case of a 48-year-old woman with a recurrent parasellar mass previously treated with stereotactic radiosurgery. Despite imaging suggestive of meningioma, histopathology and immunohistochemistry yielded ambiguous findings. Low-coverage whole genome methylation profiling using Oxford Nanopore sequencing provided a conclusive diagnosis of meningioma, with a classifier confidence score of 0.791, supported by t-distributed stochastic neighbor embedding clustering and characteristic copy number variations. The present case illustrated the diagnostic utility of methylation profiling in post-treatment CNS tumours with perplexing histopathology. Integration of molecular diagnostics can enhance classification accuracy and inform clinical decision-making.
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Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12402683 | PMC |
http://dx.doi.org/10.3892/br.2025.2043 | DOI Listing |