DNA-Based Test Predicts Likelihood of HPV-Linked Oral Cancer Recurrence
|
By LabMedica International staff writers Posted on 13 Aug 2014 |
![Image: Electron micrograph of human papillomavirus (HPV) (Photo courtesy of the [US] National Institutes of Health). Image: Electron micrograph of human papillomavirus (HPV) (Photo courtesy of the [US] National Institutes of Health).](https://globetechcdn.com/mobile_labmedica/images/stories/articles/article_images/2014-08-13/GMS-205.jpg)
Image: Electron micrograph of human papillomavirus (HPV) (Photo courtesy of the [US] National Institutes of Health).
A recent paper described using a real-time quantitative polymerase chain reaction (RT-PCR) to detect human papillomavirus (HPV) DNA in saliva and blood for the diagnosis of oropharyngeal squamous cell carcinoma (OPSCC) and to predict likelihood of recurrence of the disease after treatment.
Human papillomavirus type 16 (HPV-16) is a major causative factor OPSCC, accounting for more than 21,000 cases annually in the United States. Diagnosis of OPSCC is difficult due to the complexity of the anatomical structures (such as tonsils, throat, and base of the tongue) where the cancer might develop. Survival rates for patients with early-stage, HPV-related oral cancers are as high as 90% within the first two years, and, even after recurrence, more than 50% of patients survive at least two years.
Investigators at Johns Hopkins University (Baltimore, MD, USA) applied an advanced DNA-based analysis system to the problem of OPSCC diagnosis. They used RT-PRC to analyze blood and saliva samples from 93 oropharyngeal cancer patients who had been treated with surgery, radiation alone, or combined chemotherapy and radiation. Among this group, 81 patients had HPV-16-positive tumors and 12 patients had HPV-16-negative tumors.
Results revealed that the sensitivities of pretreatment saliva or plasma alone were 52.8% and 67.3%, respectively. However, the sensitivity, specificity, negative predictive value, and positive predictive value of combined saliva and plasma pretreatment HPV-16 DNA status for detecting tumor HPV-16 status increased to 76%, 100%, 42%, and 100%, respectively. Overall survival was reduced among those with post-treatment HPV-positive status in saliva and those with HPV-positive status in either saliva or plasma but not among patients with HPV-positive status in plasma alone. The combined saliva and plasma post-treatment HPV-16 DNA status was 90.7% specific and 69.5% sensitive in predicting recurrence within three years.
“There is a window of opportunity in the year after initial therapy to take an aggressive approach to spotting recurrences and intensively addressing them while they are still highly treatable,” said senior author Dr. Joseph Califano, professor of otolaryngology at Johns Hopkins University. “Until now, there has been no reliable biological way to identify which patients are at higher risk for recurrence, so these tests should greatly help do so.”
The study was published in the July 31, 2014, online edition of the journal JAMA Otolaryngology – Head & Neck Surgery.
Related Links:
Johns Hopkins University
Human papillomavirus type 16 (HPV-16) is a major causative factor OPSCC, accounting for more than 21,000 cases annually in the United States. Diagnosis of OPSCC is difficult due to the complexity of the anatomical structures (such as tonsils, throat, and base of the tongue) where the cancer might develop. Survival rates for patients with early-stage, HPV-related oral cancers are as high as 90% within the first two years, and, even after recurrence, more than 50% of patients survive at least two years.
Investigators at Johns Hopkins University (Baltimore, MD, USA) applied an advanced DNA-based analysis system to the problem of OPSCC diagnosis. They used RT-PRC to analyze blood and saliva samples from 93 oropharyngeal cancer patients who had been treated with surgery, radiation alone, or combined chemotherapy and radiation. Among this group, 81 patients had HPV-16-positive tumors and 12 patients had HPV-16-negative tumors.
Results revealed that the sensitivities of pretreatment saliva or plasma alone were 52.8% and 67.3%, respectively. However, the sensitivity, specificity, negative predictive value, and positive predictive value of combined saliva and plasma pretreatment HPV-16 DNA status for detecting tumor HPV-16 status increased to 76%, 100%, 42%, and 100%, respectively. Overall survival was reduced among those with post-treatment HPV-positive status in saliva and those with HPV-positive status in either saliva or plasma but not among patients with HPV-positive status in plasma alone. The combined saliva and plasma post-treatment HPV-16 DNA status was 90.7% specific and 69.5% sensitive in predicting recurrence within three years.
“There is a window of opportunity in the year after initial therapy to take an aggressive approach to spotting recurrences and intensively addressing them while they are still highly treatable,” said senior author Dr. Joseph Califano, professor of otolaryngology at Johns Hopkins University. “Until now, there has been no reliable biological way to identify which patients are at higher risk for recurrence, so these tests should greatly help do so.”
The study was published in the July 31, 2014, online edition of the journal JAMA Otolaryngology – Head & Neck Surgery.
Related Links:
Johns Hopkins University
Latest Pathology News
- Multimodal AI Tool Predicts Genetic Alterations to Guide Breast Cancer Treatment
- Interpretable AI Reveals Hidden Cellular Features from Microscopy Images
- Tumor Immune Structure Predicts Response to Immunotherapy in Melanoma
- Plug-and-Play AI Pathology System Classifies Multiple Cancers from Few Slides
- AI-Based Assays Support Risk Stratification in Prostate and Breast Cancer
- AI Pathology Model Predicts Immunotherapy Response in Lung Cancer
- Study Reveals Moleclar Mechanism Driving Aggressive Skin Cancer
- AI Precision Tests Deliver Cancer Risk Insights from Routine H&E Slides
- Collaboration Applies AI Pathology to Predict Response to Antibody-Drug Conjugates
- Biomarker Predicts Immunotherapy Response and Prognosis in Colorectal Cancer
- AI Improves Completeness of Complex Cancer Pathology Reports
- AI Tool Predicts Chemotherapy Response in Small Cell Lung Cancer
- Tumor-Specific Biomarker Predicts Neoadjuvant Immunotherapy Response in Gastric Cancer
- AI Tool Predicts Patient-Specific Chemotherapy Benefit in Breast Cancer
- AI-Based Pathology Model Guides Chemotherapy Decisions in Breast Cancer
- Biopsy-Based Gene Test Predicts Recurrence Risk in Lung Adenocarcinoma
Channels
Clinical Chemistry
view channel
Proteomic Data Underscore Need for Age-Specific Pediatric Reference Ranges
Serum proteins underpin many routine tests used to detect inflammation, hormonal imbalance, cardiovascular disease, and metabolic disorders. Yet pediatric interpretation often relies on adult reference... Read more
Routine Blood Count Ratio Linked to Future Alzheimer’s and Dementia Risk
Alzheimer’s disease and related dementias develop over years, making it difficult to identify at-risk patients before symptoms appear. Clinicians therefore need widely available laboratory markers that... Read more
Label-Free Microfluidic Device Enriches Tumor Cells and Clusters from Pleural Effusions
Diagnosing malignancy from pleural effusion remains challenging because tumor cells are rare and clusters are easily disrupted during processing. Conventional cytology can miss malignant tumor cells and... Read moreMolecular Diagnostics
view channel
Genetic Signature Predicts Myeloid Leukemia Risk in Down Syndrome
Children with Down syndrome face a markedly increased risk of myeloid leukemia, yet early lesions and pre-cancerous cells can appear indistinguishable under the microscope. Many are born with a transient... Read more
Gene Expression Model Guides Neoadjuvant Therapy Selection in Breast Cancer
Predicting which patients with early breast cancer will benefit from chemotherapy before surgery remains difficult. Reliable upfront markers are lacking. In hormone-dependent, HER2-negative disease, overall... Read moreHematology
view channel
Single Assay Enables Rapid HLA and ABO Genotyping for Transplant Matching
CareDx (Brisbane, CA, USA) has introduced AlloSeq Nano, a nanopore‑based HLA (human leukocyte antigen) and ABO genotyping solution unveiled at the European Federation for Immunogenetics (EFI) Conference 2026.... Read more
Prognostic Biomarker Identified in Diffuse Large B-Cell Lymphoma
Diffuse large B-cell lymphoma (DLBCL) is the most common form of non-Hodgkin lymphoma and often presents with aggressive clinical behavior. Although many patients respond to standard chemotherapy with... Read moreImmunology
view channel
Immune Aging Clock Quantifies Immunosenescence and Identifies Therapeutic Target
Immune aging undermines host defense and contributes to multiple age-related diseases, yet its heterogeneity complicates measurement and intervention. Clinical laboratories increasingly seek objective... Read more
Study Finds Influenza Often Undiagnosed in Winter Deaths
Seasonal influenza drives substantial excess mortality, yet its contribution is often obscured when infections go undiagnosed near the time of death. Many deaths occur outside hospitals or in older adults... Read moreMicrobiology
view channel
Rapid Antigen Biosensor Detects Active Tuberculosis in One Hour
Tuberculosis remains a major global health challenge and continues to drive significant morbidity and mortality. The World Health Organization’s 2024 global report cites it as the leading cause of death... Read more
Oral–Gut Microbiome Signatures Identify Early Gastric Cancer
Early detection of gastric cancer could be advanced by scalable screening strategies using minimally invasive sampling. Saliva collection is noninvasive and cost-effective, supporting wider adoption... Read moreTechnology
view channel
Microfluidic Single-Cell Assay Predicts Breast Cancer Risk
Risk stratification for breast cancer remains imprecise, as population-based models and breast density can over- or underestimate individual risk, potentially leading to over- or under-screening.... Read more
AI Tool Predicts Non-Response to Targeted Therapy in Colorectal Cancer
Advanced bowel cancer remains difficult to treat, and many patients receive targeted therapies that do not help them but still cause harm. Clinicians need reliable ways to identify likely responders before... Read moreIndustry
view channel
Collaboration Expands Access to Rapid Metagenomic Diagnostics for Complex Infections
Hospitals are seeing rising rates of complicated and healthcare-associated infections, especially in immunocompromised patients, intensifying the need for rapid, comprehensive pathogen detection.... Read more





.jpg)

