Multi-omic based molecular profiling of advanced cancer identifies treatable targets and improves survival in

Alexandra Samsen1, Silvia von der Heyde2, Carsten Bokemeyer3

  • 1IndivuTest GmbH, Hamburg, Germany.

Oncotarget
|November 10, 2018
PubMed

Insights

Comprehensive molecular profiling of tumors can guide targeted therapies for advanced cancer patients lacking standard treatment options. This approach demonstrated improved disease control in patients receiving personalized treatments.

Area of Science:

  • Oncology
  • Molecular Diagnostics
  • Genomics and Proteomics

Background:

  • Advanced stage IV cancer often lacks effective standard therapies.
  • Identifying actionable targets is crucial for improving patient outcomes.

Purpose of the Study:

  • To evaluate the benefit of comprehensive molecular profiling for guiding targeted therapy in advanced cancer patients.
  • To assess the efficacy of targeted therapies selected through multi-omic profiling.

Main Methods:

  • Tumor samples from 83 patients underwent immunohistochemistry, next-generation sequencing, and phosphoprotein profiling.
  • Genomic analysis focused on 50 oncogenes and tumor suppressor genes.
  • Oncologists decided on targeted therapies based on molecular profiling results.

Main Results:

  • Of 28 eligible patients, 14 received targeted therapy and 14 did not.
  • Disease control was achieved in 49% of patients on targeted therapy versus 21% on non-targeted therapy.
  • Dramatic individual responses were observed with targeted therapies.

Conclusions:

  • Multi-omic molecular profiling is valuable for cancer diagnostics and treatment selection.
  • Targeted therapies guided by comprehensive profiling can improve outcomes in advanced cancer.
  • This approach offers a personalized treatment strategy for patients with limited options.

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...
765
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...
8.9K
Impact of Individuals on Individuals01:30

Impact of Individuals on Individuals

Human behavior is intricately shaped by social influences that arise from interactions with others in diverse contexts. These influences not only mold beliefs and attitudes but also drive the regulation of behaviors through both direct communication and observational learning. The study of these processes falls within the domain of social psychology, which seeks to understand how individuals are affected by and affect those around them.Mechanisms of Social InfluenceDirect social influence...
382
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...
718
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...
430
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...
789