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
- Single Sample Classifier Predicts Cancer-Associated Fibroblast Subtypes in Patient Samples
- New AI-Driven Platform Standardizes Tuberculosis Smear Microscopy Workflow
- AI Tool Uses Blood Biomarkers to Predict Transplant Complications Before Symptoms Appear
- High-Resolution Cancer Virus Imaging Uncovers Potential Therapeutic Targets
- Research Consortium Harnesses AI and Spatial Biology to Advance Cancer Discovery
- AI Tool Helps See How Cells Work Together Inside Diseased Tissue
- AI-Powered Microscope Diagnoses Malaria in Blood Smears Within Minutes
- Engineered Yeast Cells Enable Rapid Testing of Cancer Immunotherapy
- First-Of-Its-Kind Test Identifies Autism Risk at Birth
- AI Algorithms Improve Genetic Mutation Detection in Cancer Diagnostics
- Skin Biopsy Offers New Diagnostic Method for Neurodegenerative Diseases
- Fast Label-Free Method Identifies Aggressive Cancer Cells
- New X-Ray Method Promises Advances in Histology
- Single-Cell Profiling Technique Could Guide Early Cancer Detection
- Intraoperative Tumor Histology to Improve Cancer Surgeries
- Rapid Stool Test Could Help Pinpoint IBD Diagnosis
Channels
Clinical Chemistry
view channel
Existing Hospital Analyzers Can Identify Fake Liquid Medical Products
Counterfeit and substandard medicines remain a serious global health threat, with World Health Organization estimates suggesting that 10.5% of medicines in low- and middle-income countries are either fake... Read more
Rapid Blood Testing Method Aids Safer Decision-Making in Drug-Related Emergencies
Acute recreational drug toxicity is a frequent reason for emergency department visits, yet clinicians rarely have access to confirmatory toxicology results in real time. Instead, treatment decisions are... Read moreMolecular Diagnostics
view channel
New Extraction Kit Enables Consistent, Scalable cfDNA Isolation from Multiple Biofluids
Circulating cell-free DNA (cfDNA) found in plasma, serum, urine, and cerebrospinal fluid is typically present at low concentrations and is often highly fragmented, making efficient recovery challenging... Read more
AI-Powered Liquid Biopsy Classifies Pediatric Brain Tumors with High Accuracy
Liquid biopsies offer a noninvasive way to study cancer by analyzing circulating tumor DNA in body fluids. However, in pediatric brain tumors, the small amount of ctDNA in cerebrospinal fluid has limited... Read moreHematology
view channel
Rapid Cartridge-Based Test Aims to Expand Access to Hemoglobin Disorder Diagnosis
Sickle cell disease and beta thalassemia are hemoglobin disorders that often require referral to specialized laboratories for definitive diagnosis, delaying results for patients and clinicians.... Read more
New Guidelines Aim to Improve AL Amyloidosis Diagnosis
Light chain (AL) amyloidosis is a rare, life-threatening bone marrow disorder in which abnormal amyloid proteins accumulate in organs. Approximately 3,260 people in the United States are diagnosed... Read moreImmunology
view channel
New Biomarker Predicts Chemotherapy Response in Triple-Negative Breast Cancer
Triple-negative breast cancer is an aggressive form of breast cancer in which patients often show widely varying responses to chemotherapy. Predicting who will benefit from treatment remains challenging,... Read moreBlood Test Identifies Lung Cancer Patients Who Can Benefit from Immunotherapy Drug
Small cell lung cancer (SCLC) is an aggressive disease with limited treatment options, and even newly approved immunotherapies do not benefit all patients. While immunotherapy can extend survival for some,... Read more
Whole-Genome Sequencing Approach Identifies Cancer Patients Benefitting From PARP-Inhibitor Treatment
Targeted cancer therapies such as PARP inhibitors can be highly effective, but only for patients whose tumors carry specific DNA repair defects. Identifying these patients accurately remains challenging,... Read more
Ultrasensitive Liquid Biopsy Demonstrates Efficacy in Predicting Immunotherapy Response
Immunotherapy has transformed cancer treatment, but only a small proportion of patients experience lasting benefit, with response rates often remaining between 10% and 20%. Clinicians currently lack reliable... Read moreMicrobiology
view channel
Rapid Test Promises Faster Answers for Drug-Resistant Infections
Drug-resistant pathogens continue to pose a growing threat in healthcare facilities, where delayed detection can impede outbreak control and increase mortality. Candida auris is notoriously difficult to... Read more
CRISPR-Based Technology Neutralizes Antibiotic-Resistant Bacteria
Antibiotic resistance has accelerated into a global health crisis, with projections estimating more than 10 million deaths per year by 2050 as drug-resistant “superbugs” continue to spread.... Read more
Comprehensive Review Identifies Gut Microbiome Signatures Associated With Alzheimer’s Disease
Alzheimer’s disease affects approximately 6.7 million people in the United States and nearly 50 million worldwide, yet early cognitive decline remains difficult to characterize. Increasing evidence suggests... Read moreTechnology
view channel
Blood Test “Clocks” Predict Start of Alzheimer’s Symptoms
More than 7 million Americans live with Alzheimer’s disease, and related health and long-term care costs are projected to reach nearly USD 400 billion in 2025. The disease has no cure, and symptoms often... Read more
AI-Powered Biomarker Predicts Liver Cancer Risk
Liver cancer, or hepatocellular carcinoma, causes more than 800,000 deaths worldwide each year and often goes undetected until late stages. Even after treatment, recurrence rates reach 70% to 80%, contributing... Read more
Robotic Technology Unveiled for Automated Diagnostic Blood Draws
Routine diagnostic blood collection is a high‑volume task that can strain staffing and introduce human‑dependent variability, with downstream implications for sample quality and patient experience.... Read more
ADLM Launches First-of-Its-Kind Data Science Program for Laboratory Medicine Professionals
Clinical laboratories generate billions of test results each year, creating a treasure trove of data with the potential to support more personalized testing, improve operational efficiency, and enhance patient care.... Read moreIndustry
view channel
QuidelOrtho Collaborates with Lifotronic to Expand Global Immunoassay Portfolio
QuidelOrtho (San Diego, CA, USA) has entered a long-term strategic supply agreement with Lifotronic Technology (Shenzhen, China) to expand its global immunoassay portfolio and accelerate customer access... Read more







