Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Treatment Resistent Cancers02:56

Treatment Resistent Cancers

Cancer is the second leading cause of death in the United States. A cancer cell is genetically unstable and hence can mutate faster. They can also modify their microenvironment and escape immune surveillance. The difficulties in treating cancer are further compounded by the emergence of rapid resistance to anticancer drugs. The most common ways to attain resistance in cancer cells include alteration in drug transport and metabolism, modification of drug target, elevated DNA damage response, or...
Targeted Cancer Therapies02:57

Targeted Cancer Therapies

The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
There are several types of targeted therapies against specific...
Treatment Resistant Cancers02:56

Treatment Resistant Cancers

Cancer is the second leading cause of death in the United States. A cancer cell is genetically unstable and hence can mutate faster. They can also modify their microenvironment and escape immune surveillance. The difficulties in treating cancer are further compounded by the emergence of rapid resistance to anticancer drugs. The most common ways to attain resistance in cancer cells include alteration in drug transport and metabolism, modification of drug target, elevated DNA damage response, or...
Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Recurrence and timing of conversion to radical nephroureterectomy after endoscopic laser ablation for upper tract urothelial carcinoma: a multicenter Japanese study.

Translational andrology and urology·2026
Same author

Impact of Surgical Techniques on Anastomotic Stricture in Urinary Diversion: A Systematic Review and Meta-analysis.

European urology open science·2026
Same author

Androgen Receptor Pathway Inhibitors for Metastatic Hormone-Sensitive Prostate Cancer Outside of Randomized Controlled Trials: A Systematic Review and Meta-Analysis of Prognostic Factors in Real-World Analyses.

Clinical genitourinary cancer·2026
Same author

First-Line Systemic Treatments of Metastatic Hormone-Sensitive Prostate Cancer: Updated Systematic Review and Network Meta-Analysis.

The Journal of urology·2026
Same author

The Prognostic Value of Tumor HER2 Expression in Predicting Oncological Outcomes of Patients with Advanced Urothelial Carcinoma: A Systematic Review and Meta-Analysis.

International journal of molecular sciences·2026
Same author

Nodal maximum standardised uptake value improves PSMA-PET/CT-based nodal staging in intermediate- and high-risk prostate cancer.

BJU international·2026

Related Experiment Video

Updated: Jun 16, 2026

A Syngeneic Mouse Model of Metastatic Renal Cell Carcinoma for Quantitative and Longitudinal Assessment of Preclinical Therapies
06:38

A Syngeneic Mouse Model of Metastatic Renal Cell Carcinoma for Quantitative and Longitudinal Assessment of Preclinical Therapies

Published on: April 12, 2017

First-line Therapy for Metastatic Renal Cell Carcinoma: An Updated Network Meta-analysis using Final Follow-up Data.

Takafumi Yanagisawa1, Keiichiro Mori1, Wataru Fukuokaya2

  • 1Department of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria; Department of Urology, The Jikei University School of Medicine, Tokyo, Japan.

European Urology Focus
|June 13, 2026
PubMed
Summary

This network meta-analysis compared first-line immune checkpoint inhibitor (ICI) combination therapies for metastatic renal cell carcinoma (mRCC). Nivolumab/ipilimumab showed promise for overall survival, while pembrolizumab/lenvatinib excelled in progression-free survival and response rates.

Keywords:
AvelumabAxitinibCabozantinibImmune checkpoint inhibitorsIpilimumabLenvatinibMetastasisNivolumabPembrolizumabRenal cell carcinoma

More Related Videos

Modeling Spontaneous Metastatic Renal Cell Carcinoma (mRCC) in Mice Following Nephrectomy
11:27

Modeling Spontaneous Metastatic Renal Cell Carcinoma (mRCC) in Mice Following Nephrectomy

Published on: April 29, 2014

Related Experiment Videos

Last Updated: Jun 16, 2026

A Syngeneic Mouse Model of Metastatic Renal Cell Carcinoma for Quantitative and Longitudinal Assessment of Preclinical Therapies
06:38

A Syngeneic Mouse Model of Metastatic Renal Cell Carcinoma for Quantitative and Longitudinal Assessment of Preclinical Therapies

Published on: April 12, 2017

Modeling Spontaneous Metastatic Renal Cell Carcinoma (mRCC) in Mice Following Nephrectomy
11:27

Modeling Spontaneous Metastatic Renal Cell Carcinoma (mRCC) in Mice Following Nephrectomy

Published on: April 29, 2014

Area of Science:

  • Oncology
  • Immunotherapy
  • Clinical Trials

Background:

  • Immune checkpoint inhibitor (ICI)-based combination therapies are standard for metastatic renal cell carcinoma (mRCC).
  • Previous network meta-analyses (NMAs) have not synthesized final follow-up data from pivotal phase 3 randomized controlled trials (RCTs).

Purpose of the Study:

  • To compare first-line ICI-based combination therapies in mRCC using final follow-up data from pivotal phase 3 RCTs.
  • To synthesize oncologic and safety outcomes through a comprehensive NMA.

Main Methods:

  • A systematic literature search was conducted in June 2025 across three databases.
  • Frequentist network meta-analysis (NMA) was employed to compare oncologic and safety outcomes.
  • Subgroup analyses were performed based on International mRCC Database Consortium (IMDC) risk classification and metastatic site.

Main Results:

  • Five RCTs involving 4206 patients were included.
  • Nivolumab/ipilimumab demonstrated the highest probability for improved overall survival (OS) in the overall population.
  • Pembrolizumab/lenvatinib ranked highest for progression-free survival (PFS), objective response rates (ORRs), and complete response (CR) rates.
  • Subgroup analyses revealed specific treatment advantages based on risk classification and metastatic sites, with nivolumab/cabozantinib showing high efficacy in patients with bone metastasis.

Conclusions:

  • Nivolumab/ipilimumab is a strong option for intermediate-/poor-risk mRCC.
  • Pembrolizumab/lenvatinib and nivolumab/cabozantinib offer comparable OS benefits in ICI + tyrosine kinase inhibitor combinations.
  • Pembrolizumab/lenvatinib appears more favorable for delaying disease progression.
  • Tailoring treatment based on IMDC risk and metastatic sites can optimize clinical decision-making.