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- W2000304156 abstract "Background: Human papillomavirus negative (HPV) (-) squamous cell head and neck cancer (SCCHN) is associated with a poor prognosis and decreased response to treatment. We sought to study the correlation between protein-based biomarkers related to DNA repair, mitotic regulators and apoptosis in a tissue microarray (TMA) of HPV(-) SCCHN. Methods: TMAs were constructed with SCCHN samples from patients treated at Fox Chase Cancer Center from 1990-2002. The TMA contained 85 p16 -surgical specimens from predominantly oral cavity tumors; 72 received adjuvant radiation. Slides were stained by a modified indirect immunofluorescence method. Sections were incubated with antibodies against ERCC1 (HPA029773, Sigma), Aurora A, (Bethyl Laboratory, IHC-00062), pAuroraA ( Bethyl Laboratory, IHC-00067), survivin (Novus Biological, NB100-56168) and a wide-spectrum screening mouse cytokeratin ab (Dako M3515). Prolong Gold mounting medium (P36931; Molecular Probes) containing 4,6-Diamidino-2-phenylindole (DAPI) defined nuclei. A tumor mask (TM) image was created from the cytokeratin stain of each histospot. ERCC1 levels were measured using fluorescent IHC on the HistoRx PM-2000 image analysis platform and data analyzed using AQUA algorithms. We assessed relationships between markers using Spearman9s correlation, explored associations between markers and overall survival using Kaplan-Meier curves, and tested significance using the t-statistic. Parallel analysis of The Cancer Genome Atlas (TCGA) resources was used to establish whether correlative relationships observed at the protein level reflected commensurate changes in mRNA expression, in an independent study cohort. For this purpose, mRNA expression values were imported from the (provisional) TCGA data set encompassing 295 SCCHN samples, and Spearman9s correlation coefficients were calculated. Results: Correlation coefficients indicated a significant positive association between nuclear expression of the following markers: ERCC1 and AuroraA (p Conclusions: ERCC1, Aurora A, and survivin displayed significantly correlated expression in HPV (-) SCCHN, supporting linked function in SCCHN. This works suggests a cluster of biomarkers worthy of future study. Citation Format: Ranee Mehra, Donghua Yang, Elizabeth Handorf, Ilya Serebriiskii, Eric Ross, Miriram Lango, John A. Ridge, Erica Golemis, Barbara Burtness. Analysis of a protein expression biomarkers in HPV negative SCCHN. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 4743. doi:10.1158/1538-7445.AM2014-4743" @default.
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- W2000304156 date "2014-09-30" @default.
- W2000304156 modified "2023-09-27" @default.
- W2000304156 title "Abstract 4743: Analysis of a protein expression biomarkers in HPV negative SCCHN" @default.
- W2000304156 doi "https://doi.org/10.1158/1538-7445.am2014-4743" @default.
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