We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
INTEGRA BIOSCIENCES AG

Download Mobile App




A Minimally Invasive PCR Test for Diagnosis of Oral Cancer

By LabMedica International staff writers
Posted on 25 Mar 2022

A team of British researchers has adapted the PCR method - now well known for the detection of the COVID-19 virus - for the precise diagnosis of oral squamous cell carcinoma (mouth cancer). More...

Tissue biopsy is highly invasive procedure, but it remains the current practice for oral cancer diagnosis through the examination of histopathological samples. To reduce biopsy invasiveness without compromising diagnosis, investigators at Queen Mary University of London (United Kingdom) pioneered a multi-gene RT-qPCR (real-time quantitative polymerase chain reaction) method for oral cancer detection using only a tiny one cubic millimeter minimally invasive biopsy sample.

As a first step, the investigators reformulated their previously established multi-gene qPCR test, quantitative Malignancy Index Diagnostic System (qMIDS) with new genes involved in matrix/stroma and immune modulation of the tumor microenvironment. An algorithm was devised that calculated and converted a panel of 16 gene mRNA expression levels into a qMIDS index to quantify risk of malignancy for each sample.

The new 90-minute qMIDSV2 assay was validated in an oral squamous cell carcinoma (OSCC) cohort of 282 patients in the United Kingdom. Margin and tumor core samples demonstrated significantly better diagnostic performance compared to the previous qMIDSV1 assay. Performance of qMIDSV2 was independently validated in 35 Chinese and 95 Indian OSCC patients. In addition, five-year retrospective analysis on a group of 30 Indian dysplastic patients showed that qMIDSV2 was able to significantly differentiate between lesions without transformation and those with malignant transformation.

Senior author Dr. Iain Hutchison, professor of oral and maxillofacial surgery at Queen Mary University of London, said, "qMIDS dramatically improves our management of mouth cancer and its pre-cancerous state, saving lives and healthcare costs. Surgeons and dentists anywhere in the world can use this test for minimally invasive tissue samples because all it needs is a PCR machine and the technician who operates it. qMIDS will help us identify patients with pre-malignancies that will never transform to cancer, so they can be reassured and discharged from hospital review. Patients with high-risk premalignancy can have minor surgery to remove the lesion before it has transformed to cancer, thereby curing the patient and saving them major surgery, which in turn reduces health service costs. It is a powerful tool especially when used in conjunction with conventional histopathology assessment."

The PCR method for oral cancer diagnosis was described in the March 9, 2022, online edition of the journal Cancers.

Related Links:
Queen Mary University of London 


Gold Member
Flocked Fiber Swabs
Puritan® Patented HydraFlock®
Verification Panels for Assay Development & QC
Seroconversion Panels
New
HbA1c Test
HbA1c Rapid Test
New
Silver Member
Fixed Speed Tube Rocker
GTR-FS
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Clinical Chemistry

view channel
Image: The GlycoLocate platform uses multi-omics and advanced computational biology algorithms to diagnose early-stage cancers (Photo courtesy of AOA Dx)

AI-Powered Blood Test Accurately Detects Ovarian Cancer

Ovarian cancer ranks as the fifth leading cause of cancer-related deaths in women, largely due to late-stage diagnoses. Although over 90% of women exhibit symptoms in Stage I, only 20% are diagnosed in... Read more

Hematology

view channel
Image: CitoCBC is the world first cartridge-based CBC to be granted CLIA Waived status by FDA (Photo courtesy of CytoChip)

Disposable Cartridge-Based Test Delivers Rapid and Accurate CBC Results

Complete Blood Count (CBC) is one of the most commonly ordered lab tests, crucial for diagnosing diseases, monitoring therapies, and conducting routine health screenings. However, more than 90% of physician... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Pathology

view channel
Image: AI-analyzed images from the FDM microscope show platelet clumps in motion (Photo courtesy of Hirose et al CC-BY-ND)

AI Microscope Spots Deadly Blood Clots Before They Strike

Platelets are small blood cells that act as emergency responders in the body, rushing to areas of injury to help stop bleeding by forming clots. However, sometimes platelets can overreact, leading to complications.... Read more

Technology

view channel
Image: The new algorithms can help predict which patients have undiagnosed cancer (Photo courtesy of Adobe Stock)

Advanced Predictive Algorithms Identify Patients Having Undiagnosed Cancer

Two newly developed advanced predictive algorithms leverage a person’s health conditions and basic blood test results to accurately predict the likelihood of having an undiagnosed cancer, including ch... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.