Prolonged survival after surgery for cardiac metastasis from malignant melanoma

Antoine Noel1,2, Claire Toquet3, Jacques Dewilde1

  • 1Hôpital Laennec, Cardiology, Quimper, France.

Journal of Cardiology Cases
|December 12, 2018
PubMed

Insights

Surgical removal of isolated cardiac metastasis from malignant melanoma can significantly improve patient survival. This case highlights the benefits of early surgical intervention for obstructive heart tumors.

Area of Science:

  • Cardiology
  • Oncology
  • Cardiac Surgery

Background:

  • Malignant melanoma commonly metastasizes to the heart in advanced stages.
  • Isolated cardiac metastasis from melanoma is a rare clinical presentation.

Observation:

  • A 64-year-old woman with a history of melanoma presented with exertional dyspnea.
  • An isolated metastasis was identified in the right ventricular outflow tract.

Findings:

  • Surgical removal of the isolated cardiac metastasis was successfully performed.
  • The patient remained asymptomatic for 3 years post-surgery, contrasting with a median survival of 3 months without treatment.

Implications:

  • Early surgical intervention for obstructive cardiac melanoma metastasis can lead to long-term favorable outcomes.
  • This case supports considering surgery even for incomplete resection of isolated cardiac metastasis.
  • Prompt surgical management may improve symptom relief and survival in select patients.

Related Concept Videos

Metastasis02:30

Metastasis

Metastasis is the spread of cancer cells from the original site to distant locations in the body. Cancer cells can spread via blood vessels (hematogenous) as well as lymph vessels in the body.
Epithelial-to-Mesenchymal Transition
The epithelial-to-mesenchymal transition or EMT is a developmental process commonly observed in wound healing, embryogenesis, and cancer metastasis. EMT is induced by transforming growth factor-beta (TGF-β) or receptor tyrosine kinase (RTK) ligands, which further...
6.6K
Survival Curves01:18

Survival Curves

Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
714
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...
429
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
783
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
597
Truncation in Survival Analysis01:09

Truncation in Survival Analysis

Truncation in survival analysis refers to the exclusion of individuals or events from the dataset based on specific criteria related to the time of the event. This exclusion can happen in two primary forms: left truncation and right truncation.
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are...
619