LabMedica

Download Mobile App
Recent News Expo Clinical Chem. Molecular Diagnostics Hematology Immunology Microbiology Pathology Technology Industry Focus

Screening Test Predicts Treatment Response in Metastatic Kidney Cancer

By LabMedica International staff writers
Posted on 18 Oct 2015
Print article
Image: Histopathology of metastatic renal cell carcinoma (Photo courtesy of Dr. Mark R. Wick).
Image: Histopathology of metastatic renal cell carcinoma (Photo courtesy of Dr. Mark R. Wick).
Expression levels of a key protein involved in tumor cell survival appear to predict response to standard first-line therapy in patients with metastatic clear cell renal cell carcinoma (mCCRCC).

Vascular endothelial growth factor pathway (VEGF)-tyrosine kinase inhibitors (TKIs) are essential for the treatment of metastatic renal cell carcinoma patients, but the treatment suffers from a lack of predictive markers.

Scientists from Ulsan College of Medicine (Seoul, Republic of Korea) retrospectively studied a total of 91 patients with metastatic renal cell carcinoma (mRCC) between 2006 and 2011. Formalin-fixed, paraffin-embedded tissue samples taken from resected primary tumor at the time of initial diagnosis were exclusively collected; and 1.0-mm-core tissue microarray (TMA) blocks were constructed with two representative cores for each case.

Sections from the TMA blocks were immunostained using the Ventana Benchmark XT automated staining system (Ventana Medical Systems; Tucson, AZ, USA. The number of programmed death ligand-1 (PD-L1) tumor-infiltrating lymphocytes (TILs) were manually counted for each core, and the mean number per unit area (mm2) was calculated for each case. PD-1+ TILs were observed to have increased in the cases with equal to or greater than five TILs per mm2. Tumors with moderate or strong staining in at least 5% of tumor cells were considered positive for PD-L1 expression.

In total, 17.6% of the mCCRCC tumor samples tested positive for PD-L1 expression. The PD-L1-positive tumors were more likely than PD-L1-negative tumors to harbor other aggressive features, including higher tumor grade and sarcomatoid features. The analysis showed that PD-L1 positivity significantly predicted worse treatment response. Only one in eight patients (12.5%) with PD-L1-positive tumors responded to VEGF-TKI therapy, compared with nearly half of patients (46.7%) with PD-L1-negative tumors. Patients with PD-L1-positive tumors also had worse outcomes than those with PD-L1-negative tumors, including worse overall survival and worse progression-free survival.

The authors concluded that PD-L1 expression was significantly related to lack of VEGF-TKI responsiveness and independently associated with shorter survival in mCCRCC patients after VEGF-TKI treatment. PD-L1 may have a predictive and prognostic value for determining the value of VEGF-TKI treatment in patients with mCCRCC. The study was published on September 30, 2015, in the journal the Oncologist.

Related Links:

Ulsan College of Medicine 
Ventana Medical Systems


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
Systemic Autoimmune Testing Assay
BioPlex 2200 ANA Screen with MDSS

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 AI predictive model identifies the most potent cancer killing immune cells for use in immunotherapies (Photo courtesy of Shutterstock)

AI Predicts Tumor-Killing Cells with High Accuracy

Cellular immunotherapy involves extracting immune cells from a patient's tumor, potentially enhancing their cancer-fighting capabilities through engineering, and then expanding and reintroducing them into the body.... 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