Gene Test Predicts Melanoma Metastases
|
By LabMedica International staff writers Posted on 07 Apr 2014 |

Image: A melanoma on a patient\'s skin (Photo courtesy of the US National Cancer Institute).
A gene expression profile (GEP) test can identify primary cutaneous melanoma tumors that are likely to metastasize in patients who had a negative sentinel lymph node biopsy.
The noninvasive 31-gene GEP test that is widely used to determine metastatic risk in Stage I and II melanoma patients has been compared to sentinel lymph node biopsy (SLNB) which has traditionally been the best prognostic test available for melanoma patients.
Scientists at Castle Biosciences Inc. (Friendswood, TX, USA) compared their test called DecisionDx-Melanoma to results from134 patients with Stage I, II, or III cutaneous melanoma. These 134 patients represented all patients in the initial clinical validation studies who had a documented sentinel lymph node procedure. The DecisionDx-Melanoma is a proprietary test carried out in the company’s laboratories.
In patients with a negative SLNB, a result interpreted as a lower risk for metastasis, the GEP test identified the vast majority of melanomas that ultimately progressed over the subsequent five year period. The rate of five year metastasis-free survival (MFS) was 55% for SLNB negative patients compared to 37% for SLNB positive patients The GEP test results showed improved prognostic accuracy in these same patients with an MFS of 87% for the low-risk (Class 1) patients and 31% for the high risk (Class 2) patients.
The GEP test showed improved prognostic accuracy, with an overall survival (OS) for GEP Class 1 patients of 92% compared to 49% for Class 2 patients. The GEP test was also analyzed in combination with SLNB status. The 20% of patients who had high risk results for both tests (GEP Class 2 and SLNB positive) had lower survival rates (MFS=34%; OS=53%). Similarly, the 31% of patients who had low risk results for both tests (GEP Class 1 and SLNB negative) had higher survival rates (MFS=82%; OS=92%). Importantly, in the 49% of patients who had results that were discordant, high risk outcome for one test, low risk for the other, the GEP test result correctly predicted the patients' clinical outcomes. Net reclassification improvement of GEP class over SLNB status was greater than 50%.
Pedram Gerami, MD, the study author and an associate professor of Dermatology at Northwestern University (Evanston, IL, USA), said, “The results from this study show the GEP test is an independent predictor of metastasis and death, and significantly improves upon sentinel lymph node biopsy for staging melanoma patients. Based upon this data, optimal use of the GEP test may be to identify high risk patients among those with a negative SLNB result, or for patients who are ineligible for or who decline a SLNB procedure.” The study was presented at the 72nd Annual Meeting of the American Academy of Dermatology held March 21-25 2104 in Denver, CO, USA).
Castle Biosciences Inc.
Northwestern University
Related Links:
The noninvasive 31-gene GEP test that is widely used to determine metastatic risk in Stage I and II melanoma patients has been compared to sentinel lymph node biopsy (SLNB) which has traditionally been the best prognostic test available for melanoma patients.
Scientists at Castle Biosciences Inc. (Friendswood, TX, USA) compared their test called DecisionDx-Melanoma to results from134 patients with Stage I, II, or III cutaneous melanoma. These 134 patients represented all patients in the initial clinical validation studies who had a documented sentinel lymph node procedure. The DecisionDx-Melanoma is a proprietary test carried out in the company’s laboratories.
In patients with a negative SLNB, a result interpreted as a lower risk for metastasis, the GEP test identified the vast majority of melanomas that ultimately progressed over the subsequent five year period. The rate of five year metastasis-free survival (MFS) was 55% for SLNB negative patients compared to 37% for SLNB positive patients The GEP test results showed improved prognostic accuracy in these same patients with an MFS of 87% for the low-risk (Class 1) patients and 31% for the high risk (Class 2) patients.
The GEP test showed improved prognostic accuracy, with an overall survival (OS) for GEP Class 1 patients of 92% compared to 49% for Class 2 patients. The GEP test was also analyzed in combination with SLNB status. The 20% of patients who had high risk results for both tests (GEP Class 2 and SLNB positive) had lower survival rates (MFS=34%; OS=53%). Similarly, the 31% of patients who had low risk results for both tests (GEP Class 1 and SLNB negative) had higher survival rates (MFS=82%; OS=92%). Importantly, in the 49% of patients who had results that were discordant, high risk outcome for one test, low risk for the other, the GEP test result correctly predicted the patients' clinical outcomes. Net reclassification improvement of GEP class over SLNB status was greater than 50%.
Pedram Gerami, MD, the study author and an associate professor of Dermatology at Northwestern University (Evanston, IL, USA), said, “The results from this study show the GEP test is an independent predictor of metastasis and death, and significantly improves upon sentinel lymph node biopsy for staging melanoma patients. Based upon this data, optimal use of the GEP test may be to identify high risk patients among those with a negative SLNB result, or for patients who are ineligible for or who decline a SLNB procedure.” The study was presented at the 72nd Annual Meeting of the American Academy of Dermatology held March 21-25 2104 in Denver, CO, USA).
Castle Biosciences Inc.
Northwestern University
Related Links:
Latest Molecular Diagnostics News
- New Biomarker Panel to Improve Heart Failure Diagnosis in Women
- Dual Blood Biomarkers Improve ALS Diagnostic Accuracy
- Automated Test Distinguishes Dengue from Acute Fever-Causing Illnesses In 18 Minutes
- High-Sensitivity Troponin I Assay Aids in Diagnosis of Myocardial Infarction
- Fast Low-Cost Alzheimer’s Tests Could Detect Disease in Early and Silent Stages
- Further Investigation of FISH-Negative Tests for Renal Cell Carcinoma Improves Diagnostic Accuracy
- First Direct Measurement of Dementia-Linked Proteins to Enable Early Alzheimer’s Detection
- New Diagnostic Method Detects Pneumonia at POC in Low-Resource Settings
- Blood Immune Cell Analysis Detects Parkinson’s Before Symptoms Appear
- New Diagnostic Marker for Ovarian Cancer to Enable Early Disease Detection

- Urine Test Detects Early Stage Pancreatic Cancer
- Genomic Test Could Reduce Lymph Node Biopsy Surgery in Melanoma Patients
- Urine Test Could Replace Painful Kidney Biopsies for Lupus Patients
- Blood Test Guides Post-Surgical Immunotherapy for Muscle-Invasive Bladder Cancer
- Mitochondrial DNA Mutations from Kidney Stressors Could Predict Future Organ Decline
- Blood Test Could Predict Bariatric Surgery Outcomes in Teenagers
Channels
Clinical Chemistry
view channel
VOCs Show Promise for Early Multi-Cancer Detection
Early cancer detection is critical to improving survival rates, but most current screening methods focus on individual cancer types and often involve invasive procedures. This makes it difficult to identify... Read more
Portable Raman Spectroscopy Offers Cost-Effective Kidney Disease Diagnosis at POC
Kidney disease is typically diagnosed through blood or urine tests, often when patients present with symptoms such as blood in urine, shortness of breath, or weight loss. While these tests are common,... Read moreHematology
view channel
ADLM’s New Coagulation Testing Guidance to Improve Care for Patients on Blood Thinners
Direct oral anticoagulants (DOACs) are one of the most common types of blood thinners. Patients take them to prevent a host of complications that could arise from blood clotting, including stroke, deep... Read more
Viscoelastic Testing Could Improve Treatment of Maternal Hemorrhage
Postpartum hemorrhage, severe bleeding after childbirth, remains one of the leading causes of maternal mortality worldwide, yet many of these deaths are preventable. Standard care can be hindered by delays... Read more
Pioneering Model Measures Radiation Exposure in Blood for Precise Cancer Treatments
Scientists have long focused on protecting organs near tumors during radiotherapy, but blood — a vital, circulating tissue — has largely been excluded from dose calculations. Each blood cell passing through... Read moreImmunology
view channel
Chip Captures Cancer Cells from Blood to Help Select Right Breast Cancer Treatment
Ductal carcinoma in situ (DCIS) accounts for about a quarter of all breast cancer cases and generally carries a good prognosis. This non-invasive form of the disease may or may not become life-threatening.... Read more
Blood-Based Liquid Biopsy Model Analyzes Immunotherapy Effectiveness
Immunotherapy has revolutionized cancer care by harnessing the immune system to fight tumors, yet predicting who will benefit remains a major challenge. Many patients undergo costly and taxing treatment... Read moreMicrobiology
view channel
15-Minute Blood Test Diagnoses Life-Threatening Infections in Children
Distinguishing minor childhood illnesses from potentially life-threatening infections such as sepsis or meningitis remains a major challenge in emergency care. Traditional tests can take hours, leaving... Read more
High-Throughput Enteric Panels Detect Multiple GI Bacterial Infections from Single Stool Swab Sample
Gastrointestinal (GI) infections are among the most common causes of illness worldwide, leading to over 1.7 million deaths annually and placing a heavy burden on healthcare systems. Conventional diagnostic... Read morePathology
view channel
AI Tool Improves Accuracy of Skin Cancer Detection
Diagnosing melanoma accurately in people with darker skin remains a longstanding challenge. Many existing artificial intelligence (AI) tools detect skin cancer more reliably in lighter skin tones, often... Read more
Highly Sensitive Imaging Technique Detects Myelin Damage
Damage to myelin—the insulating layer that helps brain cells function efficiently—is a hallmark of many neurodegenerative diseases, age-related decline, and traumatic injuries. However, studying this damage... Read moreTechnology
view channel
AI Model Achieves Breakthrough Accuracy in Ovarian Cancer Detection
Early diagnosis of ovarian cancer remains one of the toughest challenges in women’s health. Traditional tools such as the Risk of Ovarian Malignancy Algorithm (ROMA) can struggle to distinguish between... Read more
Portable Biosensor Diagnoses Psychiatric Disorders Using Saliva Samples
Early diagnosis of psychiatric disorders such as depression, schizophrenia, and bipolar disorder remains one of medicine’s most pressing challenges. Current diagnostic methods rely heavily on clinical... Read more
Cell-Sorting Device Uses Electromagnetic Levitation to Precisely Direct Cell Movement
Sorting different cell types—such as cancerous versus healthy or live versus dead cells—is a critical task in biology and medicine. However, conventional methods often require labeling, chemical exposure,... Read moreIndustry
view channel
Co-Diagnostics Forms New Business Unit to Develop AI-Powered Diagnostics
Co-Diagnostics, Inc. (Salt Lake City, UT, USA) has formed a new artificial intelligence (AI) business unit to integrate the company's existing and planned AI applications into its Co-Dx Primer Ai platform.... Read more








