Related Experiment Video
Updated: May 22, 2026

Predictive Immune Modeling of Solid Tumors
Published on: February 25, 2020
Biomarkers: symptoms, survivorship, and quality of life
Christine Miaskowski1, Bradley E Aouizerat
1Department of Physiological Nursing, University of California, San Francisco, CA 94143-0610, USA. chris.miaskowski@nursing.ucsf.edu
Objectives:
To review the evidence on a number of biomarkers that show potential clinical utility in the prediction of and treatment responsiveness for the four most common symptoms associated with cancer and its treatment (ie, pain, fatigue, sleep disturbance, depression).
Data Sources:
Review and synthesis of review articles and data-based publications.
Conclusion:
A growing body of evidence suggests that sensitive and specific biomarkers will be available to assist clinicians with the assessment and management of symptoms.
Implications For Nursing Practice:
Nurses will play a critical role in educating patients about their risk for specific symptoms based on an evaluation of specific biomarkers. Nurses will be involved in using biomarker data to titrate medications based on patient's responses to symptom management interventions.
Related Concept Videos
Cancer Survival Analysis
Survival Curves
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
Assumptions of Survival Analysis
Comparing the Survival Analysis of Two or More Groups
Kaplan-Meier Approach
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time until a...
