Dissecting the Akt/Mammalian Target of Rapamycin Signaling Network: Emerging Results from the Head and Neck Cancer Tissue Array Initiative

2007 ◽  
Vol 13 (17) ◽  
pp. 4964-4973 ◽  
Author(s):  
Alfredo A. Molinolo ◽  
Stephen M. Hewitt ◽  
Panomwat Amornphimoltham ◽  
Somboon Keelawat ◽  
Samraeung Rangdaeng ◽  
...  
Keyword(s):  
Head And Neck Cancer ◽  
Head And Neck ◽  
Neck Cancer ◽  
Mammalian Target Of Rapamycin ◽  
Signaling Network ◽  
Target Of Rapamycin ◽  
Tissue Array ◽  
Cancer Tissue

scholarly journals Protein-intrinsic and signaling network-based sources of resistance to EGFR- and ErbB family-targeted therapies in head and neck cancer

2011 ◽  
Vol 14 (6) ◽  
pp. 260-279 ◽  
Author(s):  
Ranee Mehra ◽  
Ilya G. Serebriiskii ◽  
Roland L. Dunbrack ◽  
Matthew K. Robinson ◽  
Barbara Burtness ◽  
...  
Keyword(s):  
Head And Neck Cancer ◽  
Head And Neck ◽  
Neck Cancer ◽  
Targeted Therapies ◽  
Signaling Network ◽  
Sources Of Resistance ◽  
Erbb Family

scholarly journals caGrid-Enabled caBIGTM Silver Level Compatible Head and Neck Cancer Tissue Database System

2010 ◽  
Vol 4 (1) ◽  
pp. 171-178
Author(s):  
Haibin Wang ◽  
Erik Bouzyk ◽  
Anna Kuehn ◽  
Susan Muller ◽  
Zhengjia Chen ◽  
...  
Keyword(s):  
Head And Neck Cancer ◽  
Head And Neck ◽  
Neck Cancer ◽  
Open Source Software ◽  
Database System ◽  
Cancer Tissue ◽  
Biomedical Data ◽  
Biomedical Knowledge ◽  
Web Based ◽  
Design And Implementation

There are huge amounts of biomedical data generated by research labs in each cancer institution. The data are stored in various formats and accessed through numerous interfaces. It is very difficult to exchange and integrate the data among different cancer institutions, even among different research labs within the same institution, in order to discover useful biomedical knowledge for the healthcare community. In this paper, we present the design and implementation of a caGrid-enabled caBIGTM silver level compatible head and neck cancer tissue database system. The system is implemented using a set of open source software and tools developed by the NCI, such as the caCORE SDK and caGrid. The head and neck cancer tissue database system has four interfaces: Web-based, Java API, XML utility, and Web service. The system has been shown to provide robust and programmatically accessible biomedical information services that syntactically and semantically interoperate with other resources.

The role of CIP2A as a therapeutic target of rapamycin in radioresistant head and neck cancer with TP53 mutation

Head & Neck ◽  
2019 ◽  
Vol 41 (9) ◽  
pp. 3362-3371 ◽  
Author(s):  
Song Hee Kim ◽  
Won Hyeok Lee ◽  
Daseul Seong ◽  
Jae Hee An ◽  
Hyoung Uk Je ◽  
...  
Keyword(s):  
Head And Neck Cancer ◽  
Head And Neck ◽  
Neck Cancer ◽  
Therapeutic Target ◽  
Tp53 Mutation ◽  
Target Of Rapamycin

scholarly journals Validation of Selected Head and Neck Cancer Prognostic Markers from the Pathology Atlas in an Oral Tongue Cancer Cohort

Cancers ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 2387
Author(s):  
Anna Maria Wirsing ◽  
Inger-Heidi Bjerkli ◽  
Sonja Eriksson Steigen ◽  
Oddveig Rikardsen ◽  
Synnøve Norvoll Magnussen ◽  
...  
Keyword(s):  
Head And Neck Cancer ◽  
Head And Neck ◽  
Neck Cancer ◽  
Prognostic Value ◽  
Prognostic Markers ◽  
Multivariate Analyses ◽  
Tongue Cancer ◽  
Cancer Tissue ◽  
Oral Tongue ◽  
Protein Coding

The Pathology Atlas is an open-access database that reports the prognostic value of protein-coding transcripts in 17 cancers, including head and neck cancer. However, cancers of the various head and neck anatomical sites are specific biological entities. Thus, the aim of the present study was to validate promising prognostic markers for head and neck cancer reported in the Pathology Atlas in oral tongue squamous cell carcinoma (OTSCC). We selected three promising markers from the Pathology Atlas (CALML5, CD59, LIMA1), and analyzed their prognostic value in a Norwegian OTSCC cohort comprising 121 patients. We correlated target protein and mRNA expression in formalin-fixed, paraffin-embedded cancer tissue to five-year disease-specific survival (DSS) in univariate and multivariate analyses. Protein expression of CALML5 and LIMA1 were significantly associated with five-year DSS in the OTSCC cohort in univariate analyses (p = 0.016 and p = 0.043, respectively). In multivariate analyses, lymph node metastases, tumor differentiation, and CALML5 were independent prognosticators. The prognostic role of the other selected markers for head and neck cancer patients identified through unbiased approaches could not be validated in our OTSCC cohort. This underlines the need for subsite-specific analyses for head and neck cancer.

scholarly journals Semaphorin 4D in human head and neck cancer tissue and peripheral blood: A dense fibrotic peri-tumoral stromal phenotype

Oncotarget ◽  
2018 ◽  
Vol 9 (13) ◽  
pp. 11126-11144 ◽  
Author(s):  
Roshanak Derakhshandeh ◽  
Sonia Sanadhya ◽  
Kyu Lee Han ◽  
Haiyan Chen ◽  
Olga Goloubeva ◽  
...  
Keyword(s):  
Head And Neck Cancer ◽  
Head And Neck ◽  
Neck Cancer ◽  
Peripheral Blood ◽  
Human Head ◽  
Cancer Tissue ◽  
Semaphorin 4D

scholarly journals mTOR Signalling in Head and Neck Cancer: Heads Up

Cells ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 333 ◽  
Author(s):  
Tan ◽  
Bai ◽  
Saintigny ◽  
Darido
Keyword(s):  
Head And Neck Cancer ◽  
Head And Neck ◽  
Neck Cancer ◽  
Mammalian Target Of Rapamycin ◽  
Genetic Alterations ◽  
Metabolic Reprogramming ◽  
The Cancer Genome Atlas ◽  
Loss Of Function ◽  
Tcga Dataset ◽  
Mtor Signalling

The mammalian target of rapamycin (mTOR) signalling pathway is a central regulator of metabolism in all cells. It senses intracellular and extracellular signals and nutrient levels, and coordinates the metabolic requirements for cell growth, survival, and proliferation. Genetic alterations that deregulate mTOR signalling lead to metabolic reprogramming, resulting in the development of several cancers including those of the head and neck. Gain-of-function mutations in EGFR, PIK3CA, and HRAS, or loss-of-function in p53 and PTEN are often associated with mTOR hyperactivation, whereas mutations identified from The Cancer Genome Atlas (TCGA) dataset that potentially lead to aberrant mTOR signalling are found in the EIF4G1, PLD1, RAC1, and SZT2 genes. In this review, we discuss how these mutant genes could affect mTOR signalling and highlight their impact on metabolic processes, as well as suggest potential targets for therapeutic intervention, primarily in head and neck cancer.

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