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
Ovarian cancer is typically diagnosed at an advanced stage, recurs early and often, and currently lacks effective treatment. Therefore, overall survival and progression-free survival are relatively short for this disease. Sensitive and specific biomarkers for early diagnosis and follow-up for effective treatment of the disease are currently lacking. MicroRNA (miRNA/miR) expression studies are widely used in cancer research. Disruption or malfunction of miRNAs, a class of noncoding small RNAs, has been implicated in cancer progression in several publications. Of note, the expression of a series of miRNAs is known to differ in ovarian cancer. In cancer research, it is crucial to analyze expression patterns in both cancer patients and healthy individuals to identify cancer-specific biological markers and to understand their role in cancer. In the present study, the expression levels of miR-3653-3p in the peripheral blood mononuclear cells (PBMCs) of 150 patients with high-risk ovarian cancer were determined, including those with a family history of cancer or an early-age diagnosis of ovarian cancer, as well as 100 healthy individuals. The results were then compared between the two groups. The expression level of miR-3653-3p in the PBMCs of patients with ovarian cancer was determined to be 9.49-fold higher than that in the healthy control group, and this result was statistically significant (P < 0.001). In addition, receiver-operating characteristic curve analysis of PBMC showed statistical significance of miR-3653-3p in discriminating ovarian cancer patients from healthy subjects (P < 0.001). These results suggest that miR-3653-3p detected in peripheral blood may be used as a non-invasive biomarker for ovarian cancer.
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Source |
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http://dx.doi.org/10.1007/s10528-024-10819-0 | DOI Listing |
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