Accession Number:

ADA591465

Title:

Association of Cytokine Candidate Genes with Severity of Pain and Co-Occurring Symptoms in Breast Cancer Patients Receiving Chemotherapy

Descriptive Note:

Annual summary rept. 15 Sep 2012-14 Sep 2013

Corporate Author:

CALIFORNIA UNIV SAN FRANCISCO

Personal Author(s):

Report Date:

2013-10-01

Pagination or Media Count:

13.0

Abstract:

The proposed project is a cross-sectional observational study of 300 women undergoing active chemotherapy treatment for breast cancer at the University of California, San Francisco UCSF Comprehensive Cancer Center, El Camino Hospital, and Alta Bates Summit Medical Center. The purpose of the proposed project is to identify common genetic variations i.e., single nucleotide polymorphisms SNPs and haplotypes in cytokine genes, as well demographic, clinical, and psychological characteristics that are associated with the severity of pain and co-occurring symptoms. Pain is a multidimensional experience that is influenced by intrinsic and extrinsic factors. In addition, other symptoms commonly co-occur with pain, including fatigue, sleep disturbance, and depressive symptoms. Previous candidate gene studies by our group found that variation in cytokine candidate genes were associated with the severity of fatigue, sleep disturbance, and depression in patients undergoing radiation therapy and their family caregivers. Moreover, the symptom cluster of interest i.e., pain, fatigue, sleep disturbance, depression closely resembles components of cytokine-induced sickness behavior observed in animal models, suggesting that the cytokine signaling pathway may play an important role in mediating these symptoms. The identification of factors i.e., demographic, clinical, psychological, genetic that contribute to variability in the experience of pain and associated symptoms may provide valuable information that will improve our ability to identify patients at higher risk of more severe symptoms. Such factors may also represent novel targets for pain prevention and management in women with breast cancer.

Subject Categories:

  • Genetic Engineering and Molecular Biology
  • Medicine and Medical Research
  • Radiobiology

Distribution Statement:

APPROVED FOR PUBLIC RELEASE