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
- AI Tool Predicts Chemotherapy Response from Biopsy Slides
- Sex Differences in Alzheimer’s Biomarkers Linked to Faster Cognitive Decline
- World’s First Optical Microneedle Device to Enable Blood-Sampling-Free Clinical Testing
- Novel mcPCR Technology to Transform Testing of Clinical Samples
- Pathogen-Agnostic Testing Reveals Hidden Respiratory Threats in Negative Samples
- Molecular Imaging to Reduce Need for Melanoma Biopsies
- Urine Specimen Collection System Improves Diagnostic Accuracy and Efficiency
- AI-Powered 3D Scanning System Speeds Cancer Screening
- 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
Channels
Clinical Chemistry
view channel
Blood Test Tracks Transplant Health Using Donor DNA
Organ transplantation offers life-saving treatment for patients with end-stage disease, but complications such as rejection remain a constant risk. Monitoring transplanted organs typically relies on invasive... Read more
AI Sensor Detects Neurological Disorders Using Single Saliva Drop
Neurological disorders such as Parkinson’s disease and Alzheimer’s disease often develop gradually and present subtle symptoms in their early stages. Because early signs are frequently vague or atypical,... Read moreMolecular Diagnostics
view channel
Blood Test Predicts Dementia in Women 25 Years Before Symptoms Begin
Dementia and Alzheimer’s disease often develop silently over many years before symptoms appear. Detecting risk earlier could allow preventive strategies to begin long before memory problems interfere with... Read more
Serial Liquid Biopsies Reveal Therapy Resistance in Metastatic Prostate Cancer
Metastatic Prostate cancer can rapidly adapt under treatment, making it difficult to detect resistance before clinical progression. Genomic results from archival tumor tissue may no longer reflect the... 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
Cancer Mutation ‘Fingerprints’ to Improve Prediction of Immunotherapy Response
Cancer cells accumulate thousands of genetic mutations, but not all mutations affect tumors in the same way. Some make cancer cells more visible to the immune system, while others allow tumors to evade... Read more
Immune Signature Identified in Treatment-Resistant Myasthenia Gravis
Myasthenia gravis is a rare autoimmune disorder in which immune attack at the neuromuscular junction causes fluctuating weakness that can impair vision, movement, speech, swallowing, and breathing.... Read more
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 moreMicrobiology
view channel
Study Highlights Accuracy Gaps in Consumer Gut Microbiome Kits
Direct-to-consumer gut microbiome kits promise personalized insights by profiling fecal bacteria and generating health readouts, but their analytical accuracy remains uncertain. A new study shows that... Read more
WHO Recommends Near POC Tests, Tongue Swabs and Sputum Pooling for TB Diagnosis
Tuberculosis (TB) remains one of the world’s leading infectious disease killers, yet millions of cases go undiagnosed or are detected too late. Barriers such as reliance on sputum samples, limited laboratory... Read moreTechnology
view channel
AI Model Outperforms Clinicians in Rare Disease Detection
Rare diseases affect an estimated 300 million people worldwide, yet diagnosis is often protracted and error-prone. Many conditions present with heterogeneous signs that overlap with common disorders, leading... Read more
AI-Driven Diagnostic Demonstrates High Accuracy in Detecting Periprosthetic Joint Infection
Periprosthetic joint infection (PJI) is a rare but serious complication affecting 1% to 2% of primary joint replacement surgeries. The condition occurs when bacteria or fungi infect tissues around an implanted... Read moreIndustry
view channel
MGI Tech Strengthens Sequencing Portfolio with Dual Acquisition
MGI Tech Co., Ltd. (Shenzhen, China) announced the acquisition of STOmics and CycloneSEQ on March 3, 2026, as part of its “SEQALL+GLI+Omics” strategy. According to the company, the combined portfolio spans... Read more
Agilent Technologies Acquires Pathology Diagnostics Company Biocare Medical
Agilent Technologies (Santa Clara, CA, USA) has entered into a definitive agreement to acquire Biocare Medical (Pacheco, CA, USA), expanding its pathology portfolio through the addition of highly complementary... Read more








