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Open AccessJournal ArticleDOI

Fundamental differences in cell cycle deregulation in human papillomavirus-positive and human papillomavirus-negative head/neck and cervical cancers.

TLDR
Findings in primary human tumors provide novel biomarkers for early detection of HPV(+) and HPV(-) cancers, and emphasize the potential value of targeting E6 and E7 function, alone or combined with radiation and/or traditional chemotherapy, in the treatment of HPV (+) cancers.
Abstract
Human papillomaviruses (HPV) are associated with nearly all cervical cancers, 20% to 30% of head and neck cancers (HNC), and other cancers. Because HNCs also arise in HPV-negative patients, this type of cancer provides unique opportunities to define similarities and differences of HPV-positive versus HPV-negative cancers arising in the same tissue. Here, we describe genome-wide expression profiling of 84 HNCs, cervical cancers, and site-matched normal epithelial samples in which we used laser capture microdissection to enrich samples for tumor-derived versus normal epithelial cells. This analysis revealed that HPV+ HNCs and cervical cancers differed in their patterns of gene expression yet shared many changes compared with HPV− HNCs. Some of these shared changes were predicted, but many others were not. Notably, HPV+ HNCs and cervical cancers were found to be up-regulated in their expression of a distinct and larger subset of cell cycle genes than that observed in HPV− HNC. Moreover, HPV+ cancers overexpressed testis-specific genes that are normally expressed only in meiotic cells. Many, although not all, of the hallmark differences between HPV+ HNC and HPV− HNC were a direct consequence of HPV and in particular the viral E6 and E7 oncogenes. This included a novel association of HPV oncogenes with testis-specific gene expression. These findings in primary human tumors provide novel biomarkers for early detection of HPV+ and HPV− cancers, and emphasize the potential value of targeting E6 and E7 function, alone or combined with radiation and/or traditional chemotherapy, in the treatment of HPV+ cancers. [Cancer Res 2007;67(10):4605–19]

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Large meta-analysis of multiple cancers reveals a common, compact and highly prognostic hypoxia metagene.

TL;DR: Combined knowledge of multiple genes' function from in vitro experiments together with meta-analysis of multiple cancers can deliver compact and robust signatures suitable for clinical application.
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Human Papillomavirus in Head and Neck Cancer: Its Role in Pathogenesis and Clinical Implications

TL;DR: Human papillomavirus-positive cancers are clinically distinct when compared with HPV-negative cancers with regard to treatment response and survival outcome, with tumor HPV-positivity being a favorable prognostic biomarker.
Journal ArticleDOI

Heterogeneity of tumor-induced gene expression changes in the human metabolic network

TL;DR: Overall, the metabolic gene expression program in tumors is similar to that in the corresponding normal tissues, and many hundreds of metabolic isoenzymes show significant and tumor-specific expression changes, which are potential targets for anticancer therapy.
Journal ArticleDOI

Enhanced Radiation Sensitivity in HPV-Positive Head and Neck Cancer

TL;DR: These results provide clear evidence, and a supporting mechanism, for increased radiation sensitivity in HPV+ HNC relative to HPV- HNC, and suggest that low levels of normally functioning p53 in HPV+, which could be activated by radiation, leading to cell death.
Journal ArticleDOI

The emerging role of CXCL10 in cancer (Review)

TL;DR: This review focuses on current research elucidating the emerging role of CXCL10 in the pathogenesis of cancer, and examines its role as a potential biomarker and therapeutic target for related human malignancies.
References
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Book

An introduction to the bootstrap

TL;DR: This article presents bootstrap methods for estimation, using simple arguments, with Minitab macros for implementing these methods, as well as some examples of how these methods could be used for estimation purposes.
Journal ArticleDOI

Exploration, normalization, and summaries of high density oligonucleotide array probe level data

TL;DR: There is no obvious downside to using RMA and attaching a standard error (SE) to this quantity using a linear model which removes probe-specific affinities, and the exploratory data analyses of the probe level data motivate a new summary measure that is a robust multi-array average (RMA) of background-adjusted, normalized, and log-transformed PM values.
Journal ArticleDOI

R: A Language for Data Analysis and Graphics

TL;DR: In this article, the authors discuss their experience designing and implementing a statistical computing language, which combines what they felt were useful features from two existing computer languages, and they feel that the new language provides advantages in the areas of portability, computational efficiency, memory management, and scope.
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Statistical significance for genomewide studies

TL;DR: This work proposes an approach to measuring statistical significance in genomewide studies based on the concept of the false discovery rate, which offers a sensible balance between the number of true and false positives that is automatically calibrated and easily interpreted.
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