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
Sign In
Advertise with Us
RANDOX LABORATORIES

Download Mobile App




Novel Biomarkers to Improve Diagnosis of Renal Cell Carcinoma Subtypes

By LabMedica International staff writers
Posted on 10 May 2024
Print article
Image: A massive study has identified new biomarkers for renal cancer subtypes, improving diagnosis and treatment (Photo courtesy of Jessica Johnson)
Image: A massive study has identified new biomarkers for renal cancer subtypes, improving diagnosis and treatment (Photo courtesy of Jessica Johnson)

Renal cell carcinomas (RCCs) are notably diverse, encompassing over 20 distinct subtypes and generally categorized into clear cell and non-clear cell types; around 20% of all RCCs fall into the non-clear cell RCCs (non-ccRCC) category, with many subtypes being exceedingly rare and not extensively studied. Despite their varied molecular characteristics, non-ccRCCs are commonly treated with therapies designed for the more prevalent clear cell type, which impacts the effectiveness of the treatments. The differential diagnosis of non-ccRCC tumors poses significant challenges due to the overlapping morphological characteristics and the current biomarkers' lack of specificity. A study has now uncovered new biomarkers in RCCs that could enhance the accuracy of diagnoses and potentially improve treatment strategies. This research utilized an integrative approach to examine comprehensive proteogenomic data from both cc and non-cc RCCs, advancing previous genomic-focused studies and deepening the understanding of the mechanisms driving renal cell carcinomas. These discoveries provide a foundation for identifying potential therapeutic targets specifically for non-ccRCCs.

The study was led by the University of Michigan (Ann Arbor, MI, USA) as part of the Clinical Proteomic Tumor Analysis Consortium (CPTAC), a U.S. group of researchers dedicated to understanding cancer's molecular basis through extensive proteome and genome analysis. This consortium enabled the researchers to integrate genomic and proteogenomic data from tumors, facilitating broad-scale analyses such as those employed in this study. Utilizing high-quality samples from CPTAC, the team generated various data types that underwent analysis through multiple pipelines developed at the University of Michigan. This study builds on prior research into RCCs, with a particular focus on protein analysis. The team had previously led two other CPTAC studies on cc-RCC proteogenomics; those studies evaluated 213 patients (with 305 tumors and 166 benign kidney tissues), identifying potential biomarkers and therapeutic targets for cc-RCC.

This study shifted its focus to non-ccRCC, examining 48 patients (with 48 tumors and 22 benign kidney tissues). Collectively, these studies have created an extensive RCC proteogenomic database, which will now be an invaluable public asset for future research. The researchers compared proteogenomic, metabolomic, and post-translational modification profiles in both ccRCC and non-ccRCC tumors, including several rare subtypes. They conducted integrative analyses on this multi-omics data to thoroughly understand the disease mechanisms in these diverse RCC subtypes. The detailed analyses uncovered molecular characteristics common to both cc and non-cc RCC tumors, as well as unique features specific to different non-ccRCC subtypes and markers of genetic instability, which correlate with reduced survival rates.

RCCs displaying significant genomic instability were found to overexpress IGF2BP3 and PYCR1. These biomarkers can now be used to validate findings in independent patient cohorts and, eventually, to develop assays that can detect genomic instability, helping to identify patients at higher risk and allowing healthcare providers to customize treatment plans according to individual patient needs. The study also identified biomarkers for differential diagnosis that can distinguish between malignant and benign tumors. These diagnostic biomarkers could be integrated into existing test panels to enhance diagnostic precision. Moreover, the integration of RNA sequencing from single cells with bulk transcriptome data has enabled predictions of the cells of origin for various tumor types and has clarified proteogenomic signatures for different RCC subtypes. Overall, these insights significantly advance the capability of researchers to accurately diagnose a wide array of RCC subtypes, including several rare variants, and to identify higher-risk patients, thereby optimizing their treatment strategies.

“Rare cancers are often left out from major profiling efforts, so therapeutic and diagnostic advances in this space have been limited. Until now, no single center has had enough samples of the quality needed for comprehensive multi-omics profiling, as we’ve carried out in this study,” said Saravana Mohan Dhanasekaran, an associate research scientist at the Michigan Medicine Center for Translational Pathology who helped lead the study. “Our study significantly contributes to this growing effort by the rare renal cancer community by characterizing high-quality, rare tumor specimens, providing a useful public data resource.”

Related Links:
University of Michigan

Platinum Member
COVID-19 Rapid Test
OSOM COVID-19 Antigen Rapid Test
Magnetic Bead Separation Modules
MAG and HEATMAG
Anti-Cyclic Citrullinated Peptide Test
GPP-100 Anti-CCP Kit
Gold Member
Magnetic Bead Separation Modules
MAG and HEATMAG

Print article

Channels

Clinical Chemistry

view channel
Image: The 3D printed miniature ionizer is a key component of a mass spectrometer (Photo courtesy of MIT)

3D Printed Point-Of-Care Mass Spectrometer Outperforms State-Of-The-Art Models

Mass spectrometry is a precise technique for identifying the chemical components of a sample and has significant potential for monitoring chronic illness health states, such as measuring hormone levels... Read more

Hematology

view channel
Image: The CAPILLARYS 3 DBS devices have received U.S. FDA 510(k) clearance (Photo courtesy of Sebia)

Next Generation Instrument Screens for Hemoglobin Disorders in Newborns

Hemoglobinopathies, the most widespread inherited conditions globally, affect about 7% of the population as carriers, with 2.7% of newborns being born with these conditions. The spectrum of clinical manifestations... Read more

Immunology

view channel
Image: The novel test uses an existing diagnostic procedure as its basis to target the Epstein Barr Virus (Photo courtesy of 123RF)

Blood Test Measures Immune Response to Epstein-Barr Virus in MS Patients

Multiple sclerosis (MS) is a chronic neurological condition for which there is currently no cure. It affects around three million people globally and ranks as the second most common cause of disability... Read more

Microbiology

view channel
Image: The T-SPOT.TB test is now paired with the Auto-Pure 2400 liquid handling platform for accurate TB testing (Photo courtesy of Shutterstock)

Integrated Solution Ushers New Era of Automated Tuberculosis Testing

Tuberculosis (TB) is responsible for 1.3 million deaths every year, positioning it as one of the top killers globally due to a single infectious agent. In 2022, around 10.6 million people were diagnosed... Read more

Pathology

view channel
Image: Insulin proteins clumping together (Photo courtesy of Jacob Kæstel-Hansen)

AI Tool Detects Tiny Protein Clumps in Microscopy Images in Real-Time

Over 55 million individuals worldwide suffer from dementia-related diseases like Alzheimer's and Parkinson's. These conditions are caused by the clumping together of the smallest building blocks in the... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.