Queensland University of Technology, Brisbane, Australia.
University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
J Pain Symptom Manage. 2018 Feb;55(2):334-350.e3. doi: 10.1016/j.jpainsymman.2017.09.020. Epub 2017 Sep 23.
Little is known about the phenotypic and molecular characteristics associated with various domains of quality of life (QOL) in women after breast cancer surgery.
In a sample of women with breast cancer (n = 398), purposes were as follows: to identify latent classes with distinct trajectories of QOL from before surgery through six months after surgery and to evaluate for differences in demographic and clinical characteristics, as well as for polymorphisms in cytokine genes, between these latent classes.
Latent class analyses were done to identify subgroups of patients with distinct QOL outcomes. Candidate gene analyses were done to identify cytokine gene polymorphisms associated with various domains of QOL (i.e., physical, psychological, spiritual, social).
One latent class was identified for the psychological and spiritual domains. Two latent classes were identified for the social domain and overall QOL scores. Three latent classes were identified for the physical domain. For the physical and social domains, as well as for the overall QOL scores, distinct phenotypic characteristics (i.e., younger age, poorer functional status, higher body mass index, and receipt of adjuvant chemotherapy) and a number of cytokine gene polymorphisms (CXCL8, NFKB2, TNFSF, IL1B, IL13, and NFKB1) were associated with membership in the lower QOL classes.
Findings suggest that women experience distinctly different physical well-being, social well-being, and total QOL outcomes during and after breast cancer surgery. The genetic associations identified suggest that cytokine dysregulation influences QOL outcomes. However, specific QOL domains may be impacted by different cytokines.
关于乳腺癌手术后女性生活质量(QOL)各个领域相关的表型和分子特征,人们知之甚少。
在一组乳腺癌女性患者(n=398)中,目的如下:从手术前到手术后六个月,确定具有不同 QOL 轨迹的潜在类别,并评估这些潜在类别之间在人口统计学和临床特征以及细胞因子基因多态性方面的差异。
进行潜在类别分析以确定具有不同 QOL 结果的患者亚组。进行候选基因分析以确定与 QOL 各个领域(即身体、心理、精神、社会)相关的细胞因子基因多态性。
确定了一个心理和精神领域的潜在类别。确定了两个社会领域和整体 QOL 评分的潜在类别。确定了三个身体领域的潜在类别。对于身体和社会领域以及整体 QOL 评分,不同的表型特征(即年龄较小、功能状态较差、体重指数较高和接受辅助化疗)和一些细胞因子基因多态性(CXCL8、NFKB2、TNFSF、IL1B、IL13 和 NFKB1)与 QOL 较低类别的成员身份相关。
研究结果表明,女性在乳腺癌手术期间和之后经历了截然不同的身体幸福感、社会幸福感和总体 QOL 结果。确定的遗传关联表明细胞因子失调会影响 QOL 结果。然而,特定的 QOL 领域可能会受到不同细胞因子的影响。