Related Experiment Video
Updated: Jan 19, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Prognostic and Predictive Factors for Renal Cell Carcinoma
Cristina Suárez1, Marc Campayo2, Romà Bastús2
1Vall d'Hebron University Hospital and Institute of Oncology, Universitat Autònoma de Barcelona, Barcelona, Spain.
Metastatic renal cell carcinoma (mRCC) is challenging to treat. Understanding both clinical and molecular factors can help personalize treatment for better patient outcomes.
Area of Science:
- Oncology
- Molecular Biology
- Translational Medicine
Background:
- Metastatic renal cell carcinoma (mRCC) is an aggressive cancer resistant to conventional therapies.
- Recent advances in understanding mRCC molecular pathogenesis have spurred targeted therapeutic development.
- Predictive biomarkers are crucial for optimizing mRCC treatment strategies.
Purpose of the Study:
- To provide an overview of clinical and molecular factors with predictive or prognostic value in mRCC.
- To emphasize the importance of integrating both factor types for individualized patient care.
Main Methods:
- Review of current literature on predictive and prognostic factors in mRCC.
- Analysis of molecular pathogenesis and its implications for targeted therapies.
- Synthesis of clinical data and molecular findings for treatment selection.
Main Results:
- Various molecular factors (tumor and host-derived, tissue and serum) show potential in predicting therapeutic benefit for mRCC.
- No single factor has been validated for routine clinical use in patient selection.
- Both clinical and molecular factors are associated with patient prognosis and treatment response.
Conclusions:
- Individualized treatment for mRCC requires parallel consideration of both clinical and molecular factors.
- Integrating diverse biomarkers can lead to more appropriate patient stratification and improved outcomes.
- Further validation of predictive markers is essential for routine clinical application in mRCC management.
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
12:22The Use of Reverse Phase Protein Arrays RPPA to Explore Protein Expression Variation within Individual Renal Cell Cancers
Published on: January 22, 2013
Related Concept Videos
Chronic Kidney Disease I: Introduction
Factors Affecting Renal Clearance: Renal Impairment
One condition associated with renal failure is uremia. Uremia is characterized by impaired glomerular filtration and fluid accumulation in the body. This condition hinders the renal clearance of drugs, resulting in drug accumulation and potential...
mTOR Signaling and Cancer Progression
The mTOR pathway or the...
Cancer Survival Analysis