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
Information arising from next generation sequencing of leukemia genome has shed important light on the heterogeneous and combinatorial driver events in acute myeloid leukemia (AML). It has also provided insight into its intricate signaling pathways operative in the disease pathogenesis. These have also become biomarkers and targets for therapeutic intervention. Emerging evidence from in vitro drug screening has demonstrated its potential value in predicting clinical drug responses in specific AML subtypes. However, the best culture conditions and readouts have yet to be standardized and the drugs included in these screening exercises frequently revised in view of the rapid emergence of new therapeutic agents in the oncology field. Testing of leukemia cell functions, including BCL2 profiling, has also been used to predict treatment response to conventional chemotherapy and hypomethylating agents as well as BCL2 antagonist in small patient cohorts. These platforms should be integrated into future clinical trials to develop personalized treatment of AML.
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Source |
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http://dx.doi.org/10.1016/j.blre.2017.08.001 | DOI Listing |
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