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https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/93123
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| 題名: | Serum Amyloid A as a Predictive Marker for Radiation Pneumonitis in Lung Cancer Patients |
| 作者: | Wang, Yu-Shan;Chang, Heng-Jui;Chang, Yue-Cune;Huang, Su-Chen;Ko, Hui-Ling;Chang, Chih-Chia;Yeh, Yu-Wung;Jiang, Jiunn-Song;Lee, Cheng-Yen;Chi, Mau-Shin;Chi, Kwan-Hwa |
| 貢獻者: | 淡江大學數學學系 |
| 日期: | 2013-03 |
| 上傳時間: | 2013-11-22 12:08:37 (UTC+8) |
| 出版者: | Philadelphia: Elsevier Inc. |
| 摘要: | Purpose: To investigate serum markers associated with radiation pneumonitis (RP) grade ≥3 in patients with lung cancer who were treated with radiation therapy.
Methods and Materials: Pretreatment serum samples from patients with stage Ib-IV lung cancer who developed RP within 1 year after radiation therapy were analyzed to identify a proteome marker able to stratify patients prone to develop severe RP by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS). Dosimetric parameters and 3 biological factors were compared.
Results: Serum samples from 16 patients (28%) with severe RP (grade 3-4) and 42 patients (72%) with no or mild RP (grade 0-2) were collected for analysis. All patients received a median of 54 Gy (range, 42-70 Gy) of three-dimensional conformal radiation therapy with a mean lung dose (MLD) of 1502 cGy (range, 700-2794 cGy). An m/z peak of 11,480 Da was identified by SELDI-TOF-MS, and serum amyloid A (SAA) was the primary splitter serum marker. The receiver operating characteristic area under the curve of SAA (0.94; 95% confidence interval [CI], 0.87-1.00) was higher than those of C-reactive protein (0.83; 95% CI, 0.72-0.94), interleukin-6 (0.79; 95% CI, 0.65-0.94), and MLD (0.57; 95% CI, 0.37-0.77). The best sensitivity and specificity of combined SAA and MLD for predicting RP were 88.9% and 96.0%, respectively.
Conclusions: Baseline SAA could be used as an auxiliary marker for predicting severe RP. Extreme care should be taken to limit the lung irradiation dose in patients with high SAA. |
| 關聯: | International Journal of Radiation Oncology, Biology, Physics 85(3), pp.791-797 |
| DOI: | 10.1016/j.ijrobp.2012.06.018 |
| 顯示於類別: | [應用數學與數據科學學系] 期刊論文
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