Related Experiment Video
Updated: Jun 22, 2025
Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
The Psychoneurologic Symptom Cluster and Its Association With Breast Cancer Genomic Instability
Susan C Grayson1, Susan M Sereika2, Yvette P Conley1
1University of Pittsburgh.
Objectives:
To phenotype the psychoneurologic (PN) symptom cluster in individuals with metastatic breast cancer and associate those phenotypes with individual characteristics and cancer genomic variables from circulating tumor DNA.
Sample & Setting:
This study included 201 individuals with metastatic breast cancer recruited in western Pennsylvania.
Methods & Variables:
A descriptive, cross-sectional design was used. Symptom data were collected via the MD Anderson Symptom Inventory, and cancer genomic data were collected via ultra-low-pass whole-genome sequencing of circulating tumor DNA from participant blood.
Results:
Three distinct PN symptom phenotypes were described in a population with metastatic breast cancer: mild symptoms, moderate symptoms, and severe mood-related symptoms. Breast cancer TP53 deletion was significantly associated with membership in a moderate to severe symptoms phenotype (p = 0.013).
Implications For Nursing:
Specific cancer genomic changes associated with increased genomic instability may be predictive of PN symptoms. This finding may enable proactive treatment or reveal new therapeutic targets for symptom management.
More Related Videos
Related Concept Videos
01:19Psychoneuroimmunology: Diabetes and Cancer
01:33Cancer-Critical Genes I: Proto-oncogenes
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
02:55The Nucleolus