The Psychoneurologic Symptom Cluster and Its Association With Breast Cancer Genomic Instability.

BLOOD testing; BREAST tumor diagnosis; CROSS-sectional method; CLUSTER analysis (Statistics); GENOMICS; RESEARCH funding; BREAST tumors; SCIENTIFIC observation; SYMPTOMS; DNA; DESCRIPTIVE statistics; MULTIVARIATE analysis; TUMOR markers; ANXIETY; METASTASIS; ONCOGENES; DATA analysis software; FACTOR analysis; AFFECT (Psychology); HEALTH outcome assessment; PHENOTYPES; SEQUENCE analysis; GENOMES; MENTAL depression

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, crosssectional design was used. Symptom data were collected via the MD Anderson Symptom Inventory, and cancer genomic data were collected via ultralow-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. [ABSTRACT FROM AUTHOR]

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