Microdiversity Predicts Outcome in Children's Kidney Cancer
|
By LabMedica International staff writers Posted on 08 Feb 2015 |

Image: CT Scan of 11-centimeter Wilms' tumor of the right kidney in a 13-month-old patient (Photo courtesy of Wikimedia Commons).
A prognosis for the outcome of Wilms' tumor, the most common type of kidney cancer in children, can be determined by examining the genetic variation in a biopsy specimen as small as one millimeter in diameter.
Investigators at Lund University (Sweden) have termed genetic variation in such minute samples as microvariation or microdiversity. They established the importance of this type of variation by analyzing millimeter sized specimens from 44 cases of Wilms' tumor. All 44 patients had been treated with chemotherapy and while most recovered, a few—whose cancers demonstrated the greatest genetic variation between cells—developed metastases and died. Survival was 100% for patients lacking microdiversity.
Very few markers have been found in childhood kidney cancer that can differentiate between aggressive and less dangerous cancers. "The reason for this is that researchers have been looking for certain characteristics, such as mutations, in a single sample from each patient. However, when there is so much variation between the cells, one sample is not enough to determine the properties of the tumor," said senior author Dr. David Gisselsson, a researcher in clinical genetics at Lund University. "Tumors in children are also genetically unstable, and the greater the variation between the cells, the more malignant the cancer. The microvariation is a much better predictor of the risk of metastasis and death than the presence of individual mutations. This is an entirely new way of assessing how dangerous a tumor is."
The study was published in the January 27, 2015, online edition of the journal Nature Communications.
Related Links:
Lund University
Investigators at Lund University (Sweden) have termed genetic variation in such minute samples as microvariation or microdiversity. They established the importance of this type of variation by analyzing millimeter sized specimens from 44 cases of Wilms' tumor. All 44 patients had been treated with chemotherapy and while most recovered, a few—whose cancers demonstrated the greatest genetic variation between cells—developed metastases and died. Survival was 100% for patients lacking microdiversity.
Very few markers have been found in childhood kidney cancer that can differentiate between aggressive and less dangerous cancers. "The reason for this is that researchers have been looking for certain characteristics, such as mutations, in a single sample from each patient. However, when there is so much variation between the cells, one sample is not enough to determine the properties of the tumor," said senior author Dr. David Gisselsson, a researcher in clinical genetics at Lund University. "Tumors in children are also genetically unstable, and the greater the variation between the cells, the more malignant the cancer. The microvariation is a much better predictor of the risk of metastasis and death than the presence of individual mutations. This is an entirely new way of assessing how dangerous a tumor is."
The study was published in the January 27, 2015, online edition of the journal Nature Communications.
Related Links:
Lund University
Latest Pathology News
- Single-Cell Profiling Technique Could Guide Early Cancer Detection
- Intraoperative Tumor Histology to Improve Cancer Surgeries
- Rapid Stool Test Could Help Pinpoint IBD Diagnosis
- AI-Powered Label-Free Optical Imaging Accurately Identifies Thyroid Cancer During Surgery
- Deep Learning–Based Method Improves Cancer Diagnosis
- ADLM Updates Expert Guidance on Urine Drug Testing for Patients in Emergency Departments
- New Age-Based Blood Test Thresholds to Catch Ovarian Cancer Earlier
- Genetics and AI Improve Diagnosis of Aortic Stenosis
- AI Tool Simultaneously Identifies Genetic Mutations and Disease Type
- Rapid Low-Cost Tests Can Prevent Child Deaths from Contaminated Medicinal Syrups
- Tumor Signals in Saliva and Blood Enable Non-Invasive Monitoring of Head and Neck Cancer
- Common Health Issues Can Influence New Blood Tests for Alzheimer’s Disease
- Blood Test Formula Identifies Chronic Liver Disease Patients with Higher Cancer Risk
- Tunable Cell-Sorting Device Holds Potential for Multiple Biomedical Applications
- AI Tool Outperforms Doctors in Spotting Blood Cell Abnormalities
- AI Tool Rapidly Analyzes Complex Cancer Images for Personalized Treatment
Channels
Clinical Chemistry
view channel
Study Compares Analytical Performance of Quantitative Hepatitis B Surface Antigen Assays
Hepatitis B virus (HBV) continues to pose a significant global health challenge, with chronic infection affecting hundreds of millions of people despite effective vaccines and antiviral therapies.... Read more
Blood Test Could Predict and Identify Early Relapses in Myeloma Patients
Multiple myeloma is an incurable cancer of the bone marrow, and while many patients now live for more than a decade after diagnosis, a significant proportion relapse much earlier with poor outcomes.... Read moreMolecular Diagnostics
view channel
Simple Blood Test Detects Cancer in Patients with Non-Specific Symptoms
Patients who seek medical care for non-specific symptoms such as fatigue, unexplained pain, or weight loss often pose a diagnostic challenge. These symptoms can be caused by cancer, other serious diseases,... Read more
New Method Accurately Predicts Asthma Attacks Five Years in Advance
Asthma affects more than 500 million people worldwide and remains a leading cause of preventable hospital visits and healthcare costs. A major challenge in asthma care is the inability to reliably identify... Read moreHematology
view channel
AI Algorithm Effectively Distinguishes Alpha Thalassemia Subtypes
Alpha thalassemia affects millions of people worldwide and is especially common in regions such as Southeast Asia, where carrier rates can reach extremely high levels. While the condition can have significant... Read more
MRD Tests Could Predict Survival in Leukemia Patients
Acute myeloid leukemia is an aggressive blood cancer that disrupts normal blood cell production and often relapses even after intensive treatment. Clinicians currently lack early, reliable markers to predict... Read moreImmunology
view channelBlood 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 channelAI-Powered Platform Enables Rapid Detection of Drug-Resistant C. Auris Pathogens
Infections caused by the pathogenic yeast Candida auris pose a significant threat to hospitalized patients, particularly those with weakened immune systems or those who have invasive medical devices.... Read more
New Test Measures How Effectively Antibiotics Kill Bacteria
Antibiotics are typically evaluated by how well they inhibit bacterial growth in laboratory tests, but growth inhibition does not always mean the bacteria are actually killed. Some pathogens can survive... Read moreTechnology
view channelAptamer Biosensor Technology to Transform Virus Detection
Rapid and reliable virus detection is essential for controlling outbreaks, from seasonal influenza to global pandemics such as COVID-19. Conventional diagnostic methods, including cell culture, antigen... Read more
AI Models Could Predict Pre-Eclampsia and Anemia Earlier Using Routine Blood Tests
Pre-eclampsia and anemia are major contributors to maternal and child mortality worldwide, together accounting for more than half a million deaths each year and leaving millions with long-term health complications.... Read moreIndustry
view channel
WHX Labs Dubai to Gather Global Experts in Antimicrobial Resistance at Inaugural AMR Leaders’ Summit
World Health Expo (WHX) Labs in Dubai (formerly Medlab Middle East), which will be held at Dubai World Trade Centre from 10-13 February, will address the growing global threat of antimicrobial resistance... Read more







