Five-Year Survival and Correlates Among Patients With Advanced Melanoma, Renal Cell Carcinoma, or Non-Small Cell Lung

Suzanne L Topalian1, F Stephen Hodi2, Julie R Brahmer3

  • 1Department of Surgery, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins Bloomberg-Kimmel Institute for Cancer Immunotherapy, Baltimore, Maryland.

JAMA Oncology
|July 26, 2019
PubMed
Abstract

Insights

Nivolumab (anti-PD-1) showed long-term survival in some advanced melanoma, RCC, and NSCLC patients. Factors like ECOG status and treatment-related AEs influenced survival outcomes.

Area of Science:

  • Oncology
  • Immunotherapy
  • Clinical Trials

Background:

  • Nivolumab, a programmed cell death 1 inhibitor, is approved for advanced cancers.
  • Long-term survival data for nivolumab treatment are limited.
  • This study analyzes long-term outcomes in a phase 1 trial.

Purpose of the Study:

  • To assess long-term overall survival (OS) in patients treated with nivolumab.
  • To identify clinical and laboratory factors associated with tumor regression and OS.

Main Methods:

  • Secondary analysis of the phase 1 CA209-003 trial.
  • Included 270 patients with advanced melanoma, renal cell carcinoma (RCC), or non-small cell lung cancer (NSCLC).
  • Patients received nivolumab for up to 96 weeks; minimum follow-up was 58.3 months.

Main Results:

  • Estimated 5-year survival rates: 34.2% (melanoma), 27.7% (RCC), 15.6% (NSCLC).
  • Liver or bone metastases were associated with reduced 5-year survival.
  • ECOG performance status of 0 and treatment-related adverse events (any grade or grade ≥3) were associated with increased likelihood of 5-year survival.

Conclusions:

  • Nivolumab treatment is linked to long-term survival in a subset of pretreated patients.
  • Identifying survival predictors can guide future treatment strategies and clinical trial design.

Related Concept Videos

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...
652
Correlations02:20

Correlations

Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
35.8K
Correlation and Causation01:27

Correlation and Causation

Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
42.1K
Cancer Cell Migration through Invadopodia01:35

Cancer Cell Migration through Invadopodia

Invadosome is a broad category of cell surface structures with proteolytic activity that  degrades the extracellular matrix (ECM). Invadosomes are present in normal cell types, including macrophages, endothelial cells, and neurons, as well as tumor cells. Although the macrophage podosomes and tumor cell invadopodia are classified as invadosomes, they have different structures, molecular pathways, and functions. Podosomes are short structures that last for a few minutes. However,...
3.2K
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
7.0K
Survival Tree01:19

Survival Tree

Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
393