Purpose: Patients with human papillomavirus (HPV)-containing oropharyngeal squamous cell carcinomas (OSCC) have a better prognosis than patients with HPV-negative OSCC. This may be attributed to different genetic pathways promoting cancer. Experimental Design: We used comparative genomic hybridization to identify critical genetic changes in 60 selected OSCC, 28 of which were associated with HPV-16 as determined by HPV-specific PCR and fluorescence in situ hybridization analysis and positive p16 INK4A immunostaining. The results were correlated with HPV status and clinical data from patients. Results: Two thirds of OSCC harbored gain at 3q26.3-qter irrespective of HPV status. In HPV-negative tumors this alteration was associated with advanced tumor stage (P = 0.013). In comparison with HPV-related OSCC, the HPV-negative tumors harbored: (a) a higher number of chromosomal alterations and amplifications (P = 0.03 and 0.039, respectively); (b) significantly more losses at 3p, 5q, 9p, 15q, and 18q, and gains/amplifications at 11q13 (P = 0.002, 0.03; <0.001, 0.02, 0.004, and 0.001, respectively); and (c) less often 16q losses and Xp gains (P = 0.02 and 0.03). Survival analysis revealed a significantly better disease-free survival for HPV-related OSCC (P = 0.02), whereas chromosome amplification was an unfavorable prognostic indicator for disease-free and overall survival (P = 0.01 and 0.05, respectively). Interestingly, 16q loss, predominantly identified in HPV-related OSCC, was a strong indicator of favorable outcome (overall survival, P = 0.008; disease-free survival, P = 0.01) and none of these patients had a tumor recurrence. Conclusions: Genetic signatures of HPV-related and HPV-unrelated OSCC are different and most likely underlie differences in tumor development and progression. In addition, distinct chromosomal alterations have prognostic significance.
Drug-induced liver injury (DILI) is a leading cause of acute liver failure and the major reason for withdrawal of drugs from the market. Preclinical evaluation of drug candidates has failed to detect about 40% of potentially hepatotoxic compounds in humans. At the onset of liver injury in humans, currently used biomarkers have difficulty differentiating severe DILI from mild, and/or predict the outcome of injury for individual subjects. Therefore, new biomarker approaches for predicting and diagnosing DILI in humans are urgently needed. Recently, circulating microRNAs (miRNAs) such as miR-122 and miR-192 have emerged as promising biomarkers of liver injury in preclinical species and in DILI patients. In this study, we focused on examining global circulating miRNA profiles in serum samples from subjects with liver injury caused by accidental acetaminophen (APAP) overdose. Upon applying next generation high-throughput sequencing of small RNA libraries, we identified 36 miRNAs, including 3 novel miRNA-like small nuclear RNAs, which were enriched in the serum of APAP overdosed subjects. The set comprised miRNAs that are functionally associated with liver-specific biological processes and relevant to APAP toxic mechanisms. Although more patients need to be investigated, our study suggests that profiles of circulating miRNAs in human serum might provide additional biomarker candidates and possibly mechanistic information relevant to liver injury.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.