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NF-κB and stat3 transcription factor signatures differentiate HPV-positive and HPV-negative head and neck squamous cell carcinoma
DA. Gaykalova, JB. Manola, H. Ozawa, V. Zizkova, K. Morton, JA. Bishop, R. Sharma, C. Zhang, C. Michailidi, M. Considine, M. Tan, EJ. Fertig, PT. Hennessey, J. Ahn, WM. Koch, WH. Westra, Z. Khan, CH. Chung, MF. Ochs, JA. Califano,
Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články
PubMed
25857630
DOI
10.1002/ijc.29558
Knihovny.cz E-zdroje
- MeSH
- infekce papilomavirem genetika metabolismus MeSH
- lidé MeSH
- metylace DNA MeSH
- nádorové buněčné linie MeSH
- nádory hlavy a krku genetika metabolismus virologie MeSH
- NF-kappa B genetika metabolismus MeSH
- regulace genové exprese u nádorů MeSH
- sekvenční analýza hybridizací s uspořádaným souborem oligonukleotidů MeSH
- signální transdukce MeSH
- spinocelulární karcinom genetika metabolismus virologie MeSH
- transkripční faktor STAT3 genetika metabolismus MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
Using high-throughput analyses and the TRANSFAC database, we characterized TF signatures of head and neck squamous cell carcinoma (HNSCC) subgroups by inferential analysis of target gene expression, correcting for the effects of DNA methylation and copy number. Using this discovery pipeline, we determined that human papillomavirus-related (HPV+) and HPV- HNSCC differed significantly based on the activity levels of key TFs including AP1, STATs, NF-κB and p53. Immunohistochemical analysis confirmed that HPV- HNSCC is characterized by co-activated STAT3 and NF-κB pathways and functional studies demonstrate that this phenotype can be effectively targeted with combined anti-NF-κB and anti-STAT therapies. These discoveries correlate strongly with previous findings connecting STATs, NF-κB and AP1 in HNSCC. We identified five top-scoring pair biomarkers from STATs, NF-κB and AP1 pathways that distinguish HPV+ from HPV- HNSCC based on TF activity and validated these biomarkers on TCGA and on independent validation cohorts. We conclude that a novel approach to TF pathway analysis can provide insight into therapeutic targeting of patient subgroup for heterogeneous disease such as HNSCC.
Department of Biostatistics and Computational Biology Dana Farber Cancer Institute Boston MA
Department of Oncology Johns Hopkins Medical Institutions Baltimore MD
Department of Otolaryngology Head and Neck Surgery Johns Hopkins Medical Institutions Baltimore MD
Department of Pathology Johns Hopkins Medical Institutions Baltimore MD
Citace poskytuje Crossref.org
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- $a Using high-throughput analyses and the TRANSFAC database, we characterized TF signatures of head and neck squamous cell carcinoma (HNSCC) subgroups by inferential analysis of target gene expression, correcting for the effects of DNA methylation and copy number. Using this discovery pipeline, we determined that human papillomavirus-related (HPV+) and HPV- HNSCC differed significantly based on the activity levels of key TFs including AP1, STATs, NF-κB and p53. Immunohistochemical analysis confirmed that HPV- HNSCC is characterized by co-activated STAT3 and NF-κB pathways and functional studies demonstrate that this phenotype can be effectively targeted with combined anti-NF-κB and anti-STAT therapies. These discoveries correlate strongly with previous findings connecting STATs, NF-κB and AP1 in HNSCC. We identified five top-scoring pair biomarkers from STATs, NF-κB and AP1 pathways that distinguish HPV+ from HPV- HNSCC based on TF activity and validated these biomarkers on TCGA and on independent validation cohorts. We conclude that a novel approach to TF pathway analysis can provide insight into therapeutic targeting of patient subgroup for heterogeneous disease such as HNSCC.
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