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Filename: controllers/Detail.php
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File: /var/www/html/application/controllers/Detail.php
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Function: _error_handler
File: /var/www/html/index.php
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Function: require_once
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Message: Trying to access array offset on value of type null
Filename: controllers/Detail.php
Line Number: 249
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File: /var/www/html/application/controllers/Detail.php
Line: 249
Function: _error_handler
File: /var/www/html/index.php
Line: 316
Function: require_once
Severity: Warning
Message: Trying to access array offset on value of type null
Filename: controllers/Detail.php
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File: /var/www/html/application/controllers/Detail.php
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Function: _error_handler
File: /var/www/html/index.php
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Message: Trying to access array offset on value of type null
Filename: controllers/Detail.php
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Filename: models/Detail_model.php
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Function: strpos
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Function: insertAPISummary
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Filename: controllers/Detail.php
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File: /var/www/html/index.php
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Filename: controllers/Detail.php
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Filename: controllers/Detail.php
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Filename: controllers/Detail.php
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Treatment failure in solid tumors occurs due to the survival of specific subpopulations of cells that possess tumor-initiating (TIC) phenotypes. Studies have implicated G protein-coupled-receptors (GPCRs) in cancer progression and the acquisition of TIC phenotypes. Many of the implicated GPCRs signal through the G protein GNA13. In this study, we demonstrate that GNA13 is upregulated in many solid tumors and impacts survival and metastases in patients. GNA13 levels modulate drug resistance and TIC-like phenotypes in patient-derived head and neck squamous cell carcinoma (HNSCC) cells in vitro and in vivo. Blockade of GNA13 expression, or of select downstream pathways, using small-molecule inhibitors abrogates GNA13-induced TIC phenotypes, rendering cells vulnerable to standard-of-care cytotoxic therapies. Taken together, these data indicate that GNA13 expression is a potential prognostic biomarker for tumor progression, and that interfering with GNA13-induced signaling provides a novel strategy to block TICs and drug resistance in HNSCCs.
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http://dx.doi.org/10.1038/s41388-017-0038-6 | DOI Listing |
Physiol Genomics
December 2024
Department of Human Sciences, Kanagawa University.
The purpose of this study was to elucidate the skeletal muscle transcriptomic response unique to rest duration during high-intensity interval exercise. Thoroughbred horses performed three 1-min bouts of exercise at their maximal oxygen uptake (10.7-12.
View Article and Find Full Text PDFAm J Hematol
January 2025
Pathology, Microbiology and Immunology, University of Nebraska Medical Center, Omaha, Nebraska, USA.
3 Biotech
October 2024
Department of Medical Laboratory Sciences, College of Applied Medical Sciences, Majmaah University, Al Majmaah, 11932 Saudi Arabia.
Unlabelled: Blood cancers, such as diffuse large B-cell lymphoma (DLBCL), Burkitt's lymphoma (BL) and acute myeloid leukemia (AML), are aggressive neoplasms that are characterized by undesired clinical courses with dismal survival rates. The objective of the current work is to study the expression THRAP3, STMN1 and GNA13 in DLBCL, BL and AML, and to investigate if these proteins are implicated in the prognosis and progression of the blood cancers. Isolation of normal blood cells was performed using lymphoprep coupled with gradient centrifugation and magnetic beads.
View Article and Find Full Text PDFJ ECT
December 2024
From the Department of Psychiatry, Fundamental and Clinical Research on Mental Disorders Key Laboratory of Luzhou, Medical Laboratory Center, Laboratory of Neurological Diseases & Brain Function, Affiliated Hospital of Southwest Medical University, Luzhou.
Objective: GNA13 is an important member of the G protein family, and its coding gene GNA13 has been identified as one of the risk genes for schizophrenia (SCZ). This study aimed to investigate the relationship between GNA13 levels and the clinical symptoms of SCZ following treatment with modified electroconvulsive therapy (MECT).
Methods: This study recruited 82 SCZ patients and 86 healthy controls (HCs).
Blood Cancer J
August 2024
Princess Margaret Cancer Centre-University Health Network, Toronto, ON, Canada.
Follicular lymphoma (FL) exhibits considerable variability in biological features and clinical trajectories across patients. To dissect the diversity of FL, we utilized a Bernoulli mixture model to identify genetic subtypes in 713 pre-treatment tumor tissue samples. Our analysis revealed the existence of five subtypes with unique genetic profiles that correlated with clinicopathological characteristics.
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