Research on forecasting values of the plasma levels for TGF-β, TNF-α and IL-10 in radiation pneumonitis
10.3760/cma.j.issn.0254-5098.2009.01.024
- VernacularTitle:血浆TGF-β、TNF-α及IL-10水平在预测放射性肺炎中的价值研究
- Author:
Xiaofang DAI
;
Gang WU
;
Li LIU
;
Jie YU
;
Qian DING
;
Yanxia ZHAO
;
Yang KE
- Publication Type:Journal Article
- Keywords:
Radiation pneumonitis;
Cytokines;
Forecasting value
- From:
Chinese Journal of Radiological Medicine and Protection
2009;29(1):77-79
- CountryChina
- Language:Chinese
-
Abstract:
Objective To study the relationship between plasma TGF-β, TNF-α, IL-10 levels and radiation pneumonitis (RP) in patients received thoracic irradiation with 3DCRT. Methods Sixty-nine patients of lung cancer stage Ⅲ or esophageal carcinoma were evaluated prospectively by EUSA for plasma TNF-α, TGF- β, IL-10 levels and IL-10/TNF-α before 3DCRT, after 40 - 50 Gy and after 3DCRT. Results Twenty-eight patients had RP. In RP patients, the plasma TGF-β, TNF-α, IL-10 levels and IL-10/TNF-α was (15.2 ± 13.4) μg/L, (28.4 ± 13.4), (24. 1 ± 17. 1) ng/L and 1.01 ± 0.86 before 3DCRT, respectively;TNF-α increased to (36.1 ± 15.5) ng/L(t = 2.01, P = 0.040), IL-10 and IL-10/TNF-α decreased to (18.8 ± 10.8) ng/L (t =1.40, P = 0.166) and 0.62 0.55 (t = 1.90, P = 0.063)after 40-50 Gy. After 3DCRT TNF-α was higher (36.9 ± 15.5) ng/L than that before 3DCRT(t = - 2.20, P = 0.032) ,but IL-10 and IL-10/TNF-α were lower than that before 3DCRT [(13.7 ± 6.2) ng/L, t = 3.03, P = 0.005 ;0.41 ± 0.21, t = 3.60, P = 0.001]. TGF-β was not change in three times(P > 0.05) .In non-RP patients, TGF-β,TNF-α, IL-10 and IL-10/TNF-α was not yet change in three times(P > 0.05) respectively. TGF-β was not yet change between RP and non-RP patients before 3DCRT (t = 0.54, P = 0.594), and TNF-α was higher in RP group than that in non-RP group after 40-50 Gy(t = 2.02, P = 0.048), but IL-10 and IL-10/TNF-α was less in RP group than that in non-RP group after 3DCRT(t=2.50,P=0.015;t=4.63,P=0.000). Conclusions The levels of TNF-α and IL-10 are closely related to the occurrence of RP. Monitoring the changes in dynamic state could predict the generation of RP, which could be employed as a sensitive index for indicating risks for acute RP.
