Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\25821127
.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117 Oncotarget
2015 ; 6
(11
): 9627-42
Nephropedia Template TP
gab.com Text
Twit Text FOAVip
Twit Text #
English Wikipedia
Head and neck cancer subtypes with biological and clinical relevance:
Meta-analysis of gene-expression data
#MMPMID25821127
De Cecco L
; Nicolau M
; Giannoccaro M
; Daidone MG
; Bossi P
; Locati L
; Licitra L
; Canevari S
Oncotarget
2015[Apr]; 6
(11
): 9627-42
PMID25821127
show ga
Head and neck squamous cell carcinoma (HNSCC) is a disease with heterogeneous
clinical behavior and response to therapies. Despite the introduction of
multimodality treatment, 40-50% of patients with advanced disease recur.
Therefore, there is an urgent need to improve the classification beyond the
current parameters in clinical use to better stratify patients and the
therapeutic approaches. Following a meta-analysis approach we built a large
training set to whom we applied a Disease-Specific Genomic Analysis (DSGA) to
identify the disease component embedded into the tumor data. Eleven independent
microarray datasets were used as validation sets. Six different HNSCC subtypes
that summarize the aberrant alterations occurring during tumor progression were
identified. Based on their main biological characteristics and de-regulated
signaling pathways, the subtypes were designed as immunoreactive, inflammatory,
human papilloma virus (HPV)-like, classical, hypoxia associated, and mesenchymal.
Our findings highlighted a more aggressive behavior for mesenchymal and
hypoxia-associated subtypes. The Genomics Drug Sensitivity Project was used to
identify potential associations with drug sensitivity and significant differences
were observed among the six subtypes. To conclude, we report a robust molecularly
defined subtype classification in HNSCC that can improve patient selection and
pave the way to the development of appropriate therapeutic strategies.