萧条(经济学)
医学
卵巢癌
内科学
免疫系统
癌症
肿瘤坏死因子α
肿瘤科
胃肠病学
免疫学
宏观经济学
经济
作者
J P Su,H F Liu,H L Zhang,Yiping He,Yuan-Wen Nie
出处
期刊:PubMed
日期:2018-10-20
卷期号:32 (5): 1225-1230
被引量:6
摘要
The aim of this study was to explore the effect of depression of different degrees on inflammatory response and immune function in patients with ovarian cancer. One hundred and eight cases of ovarian cancer according to the Federation Internationale of Gynecologie and Obstetrigue (FIGO) stage II~III who visited the Gynecology Department of Affiliated HongQi Hospital of MuDanJiang Medical University between September 2015 and May 2017 were enrolled in the study. After being hospitalized, they were divided into two groups according to their Beck Depression Inventory (BDI) scores. The total score of BDI is 63, with 0~4 for the normal group (25 cases), 5~13 for the mild depression group (24 cases), 14~20 for the moderate depression group (28 cases), and 21~63 for the severe depression group (31 cases). The immune function, inflammatory reaction, tumor markers [CA125, human epididymis protein-4 (HE4), insulin-like growth factor-I (IGF-I)], platelet technology and D-dimer index were compared between the four groups. The results showed that there were different levels of depression in patients with ovarian cancer in II~III stage, and the degree of depression could stimulate the level of serum-6, and TNF -α in serum increased. The proportion of CD3+, CD4+ and NK cells in patients with severe depression decreased, and their immunity also decreased. Depression increased the levels of CA125, HE4 and IGF-I in serum and ascites of ovarian cancer patients, and increased the risk of tumor progression and recurrence. Hypercoagulability existed in patients with ovarian cancer, and tumor associated depression could increase platelet count in plasma and increase D-dimer level. To sum up, depression can affect the level of micro inflammation in patients with ovarian cancer. In particular, depression can reduce cellular immune responses, affect the progression free survival of ovarian cancer patients, and reduce their overall survival rate.
科研通智能强力驱动
Strongly Powered by AbleSci AI