Biomarkers of Oral Cancer Discovered
|
By LabMedica International staff writers Posted on 30 Apr 2019 |

Image: A histopathology of oral cancer: tumor islands can be seen infiltrating the connective tissues deep to the overlying oral epithelium. This carcinoma is moderately differentiated with a non-cohesive invasive pattern (Photo courtesy of University of Sheffield).
Epigenetics, the non-genetic influences on gene expression, is a powerful mechanism capable of altering gene expression in cancer cells without changes to the DNA sequence, and can cause tumor progression.
Oral cancer is known for its high mortality rate in developing countries, but an international team of scientists hope its latest discovery will change that. The team has discovered epigenetic markers that are distinctly different in oral cancer tissues compared to the adjacent healthy tissues in patients.
Collaborating scientists from the University of Otago (Otago, New Zealand) and the Indian Statistical Institute (ISI, Kolkata, India) recruited 16 oral cancer patients in India, who were either tobacco smokers or chewers or of mixed habits, and took samples of both tumor and normal, adjacent tissue from them.
The team isolating the DNA in the samples, and discovered regions with altered epigenetic profiles in tumors cells compared to normal cells. They looked at one epigenetic mechanism, DNA methylation, which refers to the addition of methyl groups to DNA, like bookmarks. A total of 4,310 unique differentially methylated regions, mapping to 144 miRNA loci, were identified. Three distinct groups of miRNAs were differentially methylated in cancer tissues from smokers, chewers and mixed habitués. Hypermethylation of miR-503, miR-200a/b, miR-320b and miR-489 was associated with worse 5-year survival.
How these bookmarks are arranged could dictate the expression of genes and the spread of abnormal cells. Late diagnosis and poor prognosis are key problems associated with the high mortality rate of this cancer in developing countries. Of the 300,000 cases of tobacco associated oral cancer detected globally, 86% are from India. Aniruddha Chatterjee, PhD, a senior research fellow and co-author of the study, said, “This phenomenon is relatively new and under studied, particularly in oral cancer. This study is one of the first to identify epigenetic markers in oral cancer, using cutting-edge approaches.”
Roshni Roy, PhD, the lead author of the study, added, “We were also surprised to see that small molecules, called microRNA, were methylated or demethylated in the tumors from smokers or chewers or mixed habitués, suggesting that therapeutic intervention might be different in patients depending on the way the tobacco was abused.” The study was published on March 15, 2019, in the journal Epigenomics.
Related Links:
University of Otago
Indian Statistical Institute
Oral cancer is known for its high mortality rate in developing countries, but an international team of scientists hope its latest discovery will change that. The team has discovered epigenetic markers that are distinctly different in oral cancer tissues compared to the adjacent healthy tissues in patients.
Collaborating scientists from the University of Otago (Otago, New Zealand) and the Indian Statistical Institute (ISI, Kolkata, India) recruited 16 oral cancer patients in India, who were either tobacco smokers or chewers or of mixed habits, and took samples of both tumor and normal, adjacent tissue from them.
The team isolating the DNA in the samples, and discovered regions with altered epigenetic profiles in tumors cells compared to normal cells. They looked at one epigenetic mechanism, DNA methylation, which refers to the addition of methyl groups to DNA, like bookmarks. A total of 4,310 unique differentially methylated regions, mapping to 144 miRNA loci, were identified. Three distinct groups of miRNAs were differentially methylated in cancer tissues from smokers, chewers and mixed habitués. Hypermethylation of miR-503, miR-200a/b, miR-320b and miR-489 was associated with worse 5-year survival.
How these bookmarks are arranged could dictate the expression of genes and the spread of abnormal cells. Late diagnosis and poor prognosis are key problems associated with the high mortality rate of this cancer in developing countries. Of the 300,000 cases of tobacco associated oral cancer detected globally, 86% are from India. Aniruddha Chatterjee, PhD, a senior research fellow and co-author of the study, said, “This phenomenon is relatively new and under studied, particularly in oral cancer. This study is one of the first to identify epigenetic markers in oral cancer, using cutting-edge approaches.”
Roshni Roy, PhD, the lead author of the study, added, “We were also surprised to see that small molecules, called microRNA, were methylated or demethylated in the tumors from smokers or chewers or mixed habitués, suggesting that therapeutic intervention might be different in patients depending on the way the tobacco was abused.” The study was published on March 15, 2019, in the journal Epigenomics.
Related Links:
University of Otago
Indian Statistical Institute
Latest Pathology News
- Rapid AI Tool Predicts Cancer Spatial Gene Expression from Pathology Images
- AI Pathology Test Receives FDA Breakthrough for Bladder Cancer Risk Stratification
- FDA Clears AI Digital Pathology Tool for Breast Cancer Risk Stratification
- New AI Tool Reveals Hidden Genetic Signals in Routine H&E Slides
- AI System Analyzes Routine Pathology Slides to Predict Cancer Outcomes
- New Tissue Mapping Approach Identifies High-Risk Form of Diabetic Kidney Disease
- 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
Channels
Clinical Chemistry
view channel
New CA19-9 Cutoff Value Helps Identify High-Risk Pancreatic Cancer Patients
Pancreatic ductal adenocarcinoma (PDAC) is frequently diagnosed at an advanced stage and remains one of the most lethal solid tumors. Clinicians commonly use serum carbohydrate antigen 19-9 (CA19-9) to... Read more
Blood-Based Biomarkers Show Promise for Psychosis Risk Prediction
Psychosis commonly emerges in adolescence or early adulthood and can severely disrupt social and occupational functioning. Hallucinations, delusions, and disorganized thinking often evolve gradually, hindering... Read moreHematology
view channel
Higher Ferritin Threshold May Improve Iron Deficiency Detection in Children
Iron deficiency in school-age children can affect brain development, learning, growth, and physical performance, yet early deficiency may be missed when screening focuses mainly on anemia.... Read more
Stem Cell Biomarkers May Guide Precision Treatment in Acute Myeloid Leukemia
Acute myeloid leukemia (AML) is an aggressive blood cancer that most often affects older adults and still carries a poor prognosis despite therapeutic advances. Venetoclax-based regimens have improved... Read moreImmunology
view channel
Immune Enzyme Linked to Treatment-Resistant Inflammatory Bowel Disease
Inflammatory bowel disease (IBD) affects nearly 3 million people in the United States and its prevalence continues to rise. Medications that target tumor necrosis factor (TNF)-alpha are widely used, but... Read more
Simple Blood Test Could Replace Biopsies for Lung Transplant Rejection Monitoring
Lung transplant recipients face some of the highest rates of acute cellular rejection, and routine surveillance often relies on repeated surgical biopsies. These procedures can cause complications such... Read moreMicrobiology
view channel
New AMR Assay Supports Rapid Infection Control Screening in Hospitals
As antimicrobial resistance spreads worldwide, healthcare-associated infections are placing a growing burden on hospitals, increasing the need for faster and broader diagnostic solutions.... Read more
Diagnostic Gaps Complicate Bundibugyo Ebola Outbreak Response in Congo
In eastern Democratic Republic of the Congo, communities are confronting a resurgence of Bundibugyo ebolavirus, a rarer species for which no vaccines or treatments have been approved. Ebola is a highly... Read more
Study Finds Hidden Mpox Infections May Drive Ongoing Spread
Mpox continues to circulate despite vaccination, and many cases show no known link to a symptomatic partner. The role of people without symptoms has remained uncertain, limiting clarity on how transmission persists.... Read more
Large-Scale Genomic Surveillance Tracks Resistant Bacteria Across European Hospitals
Antimicrobial resistance (AMR) poses a growing threat to patient safety, with carbapenem-resistant Enterobacterales causing difficult-to-treat infections and leaving clinicians with limited therapeutic options.... Read morePathology
view channel
Rapid AI Tool Predicts Cancer Spatial Gene Expression from Pathology Images
Gene expression profiling can inform tumor biology and treatment selection, but spatial assays remain costly and time-consuming. Results can take weeks and cost thousands of dollars, limiting large-scale... Read more
AI Pathology Test Receives FDA Breakthrough for Bladder Cancer Risk Stratification
Non–muscle invasive bladder cancer has highly variable outcomes, complicating surveillance and treatment planning. Risk assessment typically relies on stage, grade, and tumor size, leaving uncertainty... Read moreTechnology
view channel
AI-Enabled Assistant Unifies Molecular Workflow Planning and Support
Clinical laboratories and research groups face increasingly complex molecular workflows and expanding technical documentation spread across multiple systems. Fragmented digital tools can slow experiment... Read more
AI Tool Automates Validation of Laboratory Software Configuration Changes
Regulated laboratories face heavy documentation and requalification demands when software configurations change, slowing improvements and discouraging beneficial updates. A new capability now automates... Read moreIndustry
view channel
Strategic Collaboration Advances RNA Foundation Models for Precision Oncology
Bulk RNA sequencing is increasingly used to study tumor biology, but standard analyses often reduce results to gene-level summaries that miss important transcript variants and mutation patterns.... Read more








