Kidney Transplant Patients Identified at High Risk of Rejection
|
By LabMedica International staff writers Posted on 18 Nov 2014 |
A quantitative real-time PCR (qPCR)-based assay can identify kidney transplant patients who are at high risk of acute rejection.
Minnie Sarwal at the University of California (San Francisco, CA, USA) and colleagues examined gene expression data from more than 430 renal transplant patients and developed a 17-gene set that could distinguish patients at high risk of rejection. They also developed an algorithm to classify patients into high- or low-risk categories using a numerical risk score.
Called kSORT for Kidney Solid Organ Response Test, the assay has the potential to become a simple, robust, and clinically applicable blood test, the scientists stated in their November 2014 PLOS Medicine paper.
In the US, there are some 17,000 kidney transplants a year, according to the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), and the researchers noted that acute rejection occurs in some 15%–20% of patients even with immunosuppressive therapy. Currently, clinicians monitor creatinine levels as a marker for rejection, followed by a biopsy to confirm rejection. The new assay has a less invasive approach, and can identify rejection events early on.
A further seven genes were added to optimize the panel for both an adult and pediatric population. The 17 genes could predict 39 of 47 AR samples correctly as AR and 87 of 96 non-AR samples as non-AR, a sensitivity of nearly 83% and a specificity of just over 90%.
To develop the test, 558 blood samples from 436 adult and pediatric renal transplant patients in the US, Mexico, and Spain were collected. Using a set of 143 adult samples, the researchers found 31 genes that were differentially expressed between adult acute rejection (AR) and non-AR patients, as determined through kidney biopsies. A subset of 15 genes was able to classify nearly 92% of the AR and non-AR adult samples, but not in pediatric cases.
Related Links:
University of California
Minnie Sarwal at the University of California (San Francisco, CA, USA) and colleagues examined gene expression data from more than 430 renal transplant patients and developed a 17-gene set that could distinguish patients at high risk of rejection. They also developed an algorithm to classify patients into high- or low-risk categories using a numerical risk score.
Called kSORT for Kidney Solid Organ Response Test, the assay has the potential to become a simple, robust, and clinically applicable blood test, the scientists stated in their November 2014 PLOS Medicine paper.
In the US, there are some 17,000 kidney transplants a year, according to the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), and the researchers noted that acute rejection occurs in some 15%–20% of patients even with immunosuppressive therapy. Currently, clinicians monitor creatinine levels as a marker for rejection, followed by a biopsy to confirm rejection. The new assay has a less invasive approach, and can identify rejection events early on.
A further seven genes were added to optimize the panel for both an adult and pediatric population. The 17 genes could predict 39 of 47 AR samples correctly as AR and 87 of 96 non-AR samples as non-AR, a sensitivity of nearly 83% and a specificity of just over 90%.
To develop the test, 558 blood samples from 436 adult and pediatric renal transplant patients in the US, Mexico, and Spain were collected. Using a set of 143 adult samples, the researchers found 31 genes that were differentially expressed between adult acute rejection (AR) and non-AR patients, as determined through kidney biopsies. A subset of 15 genes was able to classify nearly 92% of the AR and non-AR adult samples, but not in pediatric cases.
Related Links:
University of California
Latest Molecular Diagnostics News
- Digital PCR Assays Support Surveillance of Bundibugyo Ebolavirus Outbreak
- Updated Guidance Prioritizes Stool-Based Colorectal Cancer Screening Tests
- Blood-Based Proteomic Test May Predict Treatment Response in Non-Small Cell Lung Cancer
- Position Statements Outline Evidence Standards for Multi-Cancer Detection Tests
- Ultrasensitive MRD Blood Test Detects Early Breast Cancer Recurrence
- Gene Fusion Patterns May Flag High Risk Solitary Fibrous Tumors
- New RNA Origami Method Supports Faster Targeted Testing for Repeat Expansion Disorders
- FDA Approves Expanded Liquid Biopsy Panel for Advanced Cancer Profiling
- Microbial Saliva Test Could Help Triage Esophageal Cancer Risk
- Expanded DPYD Genotyping Test Supports Safer Chemotherapy Dosing
- Blood Test Detects Early Nonresponse in Metastatic Prostate Cancer
- Multi-Omics Profiling Helps Predict BCG Response and Recurrence in Bladder Cancer
- New Computational Tool Reveals Genetic Driver of Idiopathic Neuropathy
- Breast Cancer-Specific Signatures Link Genome Instability to Outcomes
- FDA-Cleared Genomic Profiling Assay Guides Treatment Selection in Solid Tumors
- ctDNA Blood Test Could Help Guide Radiotherapy in Patients with Limited Metastases
Channels
Clinical Chemistry
view channel
Urine-Based Test Shows Promise for Autism Screening in Children
Autism spectrum disorder (ASD) is commonly diagnosed through behavioral assessments, which can involve long waits that delay intervention. Earlier identification is linked to better developmental outcomes,... Read more
Liquid Biopsy Biomarkers May Improve Childhood Epilepsy Diagnosis
Childhood epilepsy remains a major neurological disorder with unmet needs for accurate, non-invasive biomarkers, as conventional tests such as electroencephalography and neuroimaging can have limited sensitivity... Read moreMolecular Diagnostics
view channel
Updated Guidance Prioritizes Stool-Based Colorectal Cancer Screening Tests
Colorectal cancer is the second-leading cause of cancer death in the United States and claimed an estimated 55,000 lives in 2026. Incidence is rising among adults younger than 50, even as overall mortality... Read more
Digital PCR Assays Support Surveillance of Bundibugyo Ebolavirus Outbreak
QIAGEN (Venlo, Netherlands) has introduced two custom-designed research-use-only (RUO) QIAcuity dPCR assays to support infectious disease research and surveillance connected to the Bundibugyo ebolavirus outbreak.... Read more
Blood-Based Proteomic Test May Predict Treatment Response in Non-Small Cell Lung Cancer
Lung cancer remains the leading cause of cancer death, with non-small cell lung cancer (NSCLC) accounting for most cases. Treatment decisions are often made without a clear indication of how a patient... Read moreHematology
view channel
Next-Generation Hematology Platform Streamlines High-Complexity Lab Workflows
Sysmex America (Chicago, IL, USA) has introduced the next generation XR-Series, centered on the XR-10 Automated Hematology Module for high-complexity laboratories. The platform builds on the widely used... Read more
Blood Eosinophil Count May Predict Cancer Immunotherapy Response and Toxicity
Immune checkpoint inhibitors have improved outcomes across many cancers, yet only a subset of patients derive durable benefit and biomarkers to guide treatment remain limited. Eosinophils, best known for... Read moreImmunology
view channel
Metabolic Biomarker Distinguishes Latent from Active Tuberculosis and Tracks Treatment Response
Tuberculosis (TB) remains the world’s leading infectious killer, with 10.8 million cases and 1.25 million deaths recorded globally in 2023. Yet many infected individuals never develop active disease, underscoring... Read more
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 moreMicrobiology
view channel
Gut Microbiome Signatures Help Identify Risk of IBD Progression
Inflammatory bowel disease (IBD), encompassing Crohn’s disease and ulcerative colitis, is a chronic relapsing inflammatory disorder of the gastrointestinal tract with highly variable outcomes.... Read more
FDA-Cleared Gastrointestinal Panel Detects 24 Pathogen Targets
Clinical guidelines support testing based on patient presentation in suspected gastrointestinal infections, yet available technologies have often forced laboratories to choose between panels that are too... Read morePathology
view channel
AI-Powered Atlas Maps Immune Structures Linked to Cancer Outcomes
Tertiary lymphoid structures are emerging as important indicators of antitumor immunity, but their heterogeneity and spatial context within tumors remain difficult to capture through routine diagnostics.... Read more
AI Tool Extracts Immune Signals from Biopsy to Inform Myeloma Therapy
Multiple myeloma is a bone marrow malignancy in which patients can respond very differently to the same treatments, making initial therapy decisions difficult. Clinicians must choose among options such... Read moreIndustry
view channelWerfen and Oxford Nanopore Collaborate on Transplant Assay Development
Werfen (Barcelona, Spain), a global specialized diagnostics company, has announced a strategic collaboration with Oxford Nanopore Technologies (Oxford, UK), which develops nanopore-based sequencing technology,... Read more








