Related Experiment Video
Updated: Jan 22, 2026

Modeling Spontaneous Metastatic Renal Cell Carcinoma mRCC in Mice Following Nephrectomy
Published on: April 29, 2014
Time on Therapy for at Least Three Months Correlates with Overall Survival in Metastatic Renal Cell Carcinoma
Viola J Chen1, Gabriela Hernandez-Meza2, Prashasti Agrawal3
1Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
Abstract:
With 15 drugs currently approved for the treatment of metastatic renal cell carcinoma (mRCC) and even more combination regimens with immunotherapy on the horizon, there remains a distinct lack of molecular biomarkers for therapeutic efficacy. Our study reports on real-world clinical outcomes of mRCC patients from a tertiary academic medical center treated with empirically selected standard-of-care therapy. We utilized the Stanford Renal Cell Carcinoma Database (RCCD) to report on various outcome measures, including overall survival (OS) and the median number of lines of targeted therapies received from the time of metastatic diagnosis. We found that most metastatic patients did not survive long enough to attempt even half of the available targeted therapies. We also noted that patients who failed to receive a clinical benefit within the first two lines of therapy could still go on to experience clinical benefit in later lines of therapy. The term, "clinical benefit" was assigned to a line of therapy if a patient remained on drug treatment for three months or longer. Moreover, patients with clinical benefit in at least one line of therapy experienced significantly longer OS compared to those who did not have clinical benefit in at least one line of therapy. Developing biomarkers that identify patients who will receive clinical benefit in individual lines of therapy is one potential strategy for achieving rational drug sequencing in mRCC.
Insights
Most metastatic renal cell carcinoma patients do not survive long enough to receive multiple targeted therapies. However, achieving clinical benefit in any therapy line significantly improves overall survival, highlighting the need for predictive biomarkers.
Area of Science:
- Oncology
- Translational Medicine
Background:
- Metastatic renal cell carcinoma (mRCC) has numerous approved treatments, including immunotherapies.
- A significant gap exists in molecular biomarkers to predict treatment efficacy in mRCC.
Purpose of the Study:
- To analyze real-world clinical outcomes of mRCC patients treated with standard-of-care therapy.
- To investigate the relationship between clinical benefit from targeted therapies and overall survival in mRCC.
Main Methods:
- Utilized the Stanford Renal Cell Carcinoma Database (RCCD) for patient data.
- Analyzed overall survival (OS) and lines of targeted therapy received.
- Defined "clinical benefit" as remaining on a drug for ≥3 months.
Main Results:
- Most mRCC patients did not receive a substantial number of available targeted therapies.
- Clinical benefit in later lines of therapy was observed even after initial treatment failure.
- Patients achieving clinical benefit in at least one line had significantly longer OS.
Conclusions:
- Current mRCC patients often have limited exposure to available therapies.
- Clinical benefit from any line of therapy is a strong predictor of improved OS.
- Developing biomarkers for predicting benefit in individual therapy lines is crucial for rational drug sequencing.
More Related Videos
06:38A Syngeneic Mouse Model of Metastatic Renal Cell Carcinoma for Quantitative and Longitudinal Assessment of Preclinical Therapies
Published on: April 12, 2017
05:36Comparing Metastatic Clear Cell Renal Cell Carcinoma Model Established in Mouse Kidney and on Chicken Chorioallantoic Membrane
Published on: February 8, 2020
Related Concept Videos
Continuous Renal Replacement Therapy
Drug Concentration Versus Time Correlation
Two pivotal parameters are the minimum effective concentration (MEC) and the minimum toxic concentration (MTC). The MEC is the...
Correlations
Extracorporeal Removal of Drugs: Continuous Renal Replacement Therapy
Correlation and Causation
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
Survival Tree
Building a Survival Tree
Constructing a...