Susceptibilité individuelle et toxicité de la radiothérapie 127
39. Evans ES, Kocak Z, Zhou SM, et al. (2006) Does transforming growth factor-beta1 predict
for radiation-induced pneumonitis in patients treated for lung cancer? Cytokine 35(3-4):
186-92
40. Anscher MS, Kong FM, Andrews K, et al. (1998) Plasma transforming growth factor beta1
l l
as a predictor of radiation pneumonitis. Int J Radiat Oncol Biol Phys 41(5): 1029-35
41. Fu XL, Huang H, Bentel G, et al. (2001) Predicting the risk of symptomatic radiationinduced lung injury using both the physical and biologic parameters V(30) and transforming
growth factor beta. Int J Radiat Oncol Biol Phys 50(4): 899-908
42. Li C, Wilson PB, Levine E, et al. (1999) TGF-beta1 levels in pre-treatment plasma identify
l l
breast cancer patients at risk of developing post-radiotherapy fibrosis. Int J Cancer 84(2):
155-9
43. Chen Y, Hyrien O, Williams J, et al. (2005) Interleukin (IL)-1A and IL-6: applications to
l l
the predictive diagnostic testing of radiation pneumonitis. Int J Radiat Oncol Biol Phys
62(1): 260-6
44. Arpin D, Perol D, Blay JY, et al. (2005) Early variations of circulating interleukin-6 and
l l
interleukin-10 levels during thoracic radiotherapy are predictive for radiation pneumonitis.
J Clin Oncol 23(34): 8748-56
45. Goto K, Kodama T, Sekine I, et al. (2001) Serum levels of KL-6 are useful biomarkers for
l l
severe radiation pneumonitis. Lung Cancer 34(1): 141-8
46. Hara R, Itami J, Komiyama T, et al. (2004) Serum levels of KL-6 for predicting the
l l
occurrence of radiation pneumonitis after stereotactic radiotherapy for lung tumors. Chest
125(1): 340-4
47. Sasaki R, Soejima T, Matsumoto A, et al. (2001) Clinical significance of serum pulmonary
l l
surfactant proteins a and d for the early detection of radiation pneumonitis. Int J Radiat
Oncol Biol Phys 50(2): 301-7
48. Rubin P, McDonald S, Maasilta P, et al. (1989) Serum markers for prediction of pulmonary
l l
radiation syndromes. Part I: Surfactant apoprotein. Int J Radiat Oncol Biol Phys 17(3):
553-8
49. Hart JP, Broadwater G, Rabbani Z, et al. (2005) Cytokine profiling for prediction of
l l
symptomatic radiation-induced lung injury. Int J Radiat Oncol Biol Phys 63(5): 1448-54
50. Lutgens LC, Deutz N, Granzier-Peeters M, et al. (2004) Plasma citrulline concentration: a
l l
surrogate end point for radiation-induced mucosal atrophy of the small bowel. A feasibility
study in 23 patients. Int J Radiat Oncol Biol Phys 60(1): 275-85
51. Onal C, Kotek A, Unal B, et al. (2011) Plasma citrulline levels predict intestinal toxicity in
l l
patients treated with pelvic radiotherapy. Acta Oncol 50(8): 1167-74
52. Skiold S, Naslund I, Brehwens K, et al. (2013) Radiation-induced stress response in
l l
peripheral blood of breast cancer patients differs between patients with severe acute skin
reactions and patients with no side effects to radiotherapy. Mutat Res 756(1-2): 152-7
53. Menard C, Johann D, Lowenthal M, et al. (2006) Discovering clinical biomarkers of
ionizing radiation exposure with serum proteomic analysis. Cancer Res 66(3): 1844-50
54. Cai XW, Shedden K, Ao X, et al. (2010) Plasma proteomic analysis may identify new
markers for radiation-induced lung toxicity in patients with non-small-cell lung cancer. Int
J Radiat Oncol Biol Phys 77(3): 867-76
55. Cai XW, Shedden KA, Yuan SH, et al. (2011) Baseline plasma proteomic analysis to identify
l l
biomarkers that predict radiation-induced lung toxicity in patients receiving radiation for
non-small cell lung cancer. J Thorac Oncol 6(6): 1073-8
56. Oh JH, Craft JM, Townsend R, et al. (2011) A bioinformatics approach for biomarker
identification in radiation-induced lung inflammation from limited proteomics data. J
Proteome Res 10(3): 1406-15
39. Evans ES, Kocak Z, Zhou SM, et al. (2006) Does transforming growth factor-beta1 predict
for radiation-induced pneumonitis in patients treated for lung cancer? Cytokine 35(3-4):
186-92
40. Anscher MS, Kong FM, Andrews K, et al. (1998) Plasma transforming growth factor beta1
l l
as a predictor of radiation pneumonitis. Int J Radiat Oncol Biol Phys 41(5): 1029-35
41. Fu XL, Huang H, Bentel G, et al. (2001) Predicting the risk of symptomatic radiationinduced lung injury using both the physical and biologic parameters V(30) and transforming
growth factor beta. Int J Radiat Oncol Biol Phys 50(4): 899-908
42. Li C, Wilson PB, Levine E, et al. (1999) TGF-beta1 levels in pre-treatment plasma identify
l l
breast cancer patients at risk of developing post-radiotherapy fibrosis. Int J Cancer 84(2):
155-9
43. Chen Y, Hyrien O, Williams J, et al. (2005) Interleukin (IL)-1A and IL-6: applications to
l l
the predictive diagnostic testing of radiation pneumonitis. Int J Radiat Oncol Biol Phys
62(1): 260-6
44. Arpin D, Perol D, Blay JY, et al. (2005) Early variations of circulating interleukin-6 and
l l
interleukin-10 levels during thoracic radiotherapy are predictive for radiation pneumonitis.
J Clin Oncol 23(34): 8748-56
45. Goto K, Kodama T, Sekine I, et al. (2001) Serum levels of KL-6 are useful biomarkers for
l l
severe radiation pneumonitis. Lung Cancer 34(1): 141-8
46. Hara R, Itami J, Komiyama T, et al. (2004) Serum levels of KL-6 for predicting the
l l
occurrence of radiation pneumonitis after stereotactic radiotherapy for lung tumors. Chest
125(1): 340-4
47. Sasaki R, Soejima T, Matsumoto A, et al. (2001) Clinical significance of serum pulmonary
l l
surfactant proteins a and d for the early detection of radiation pneumonitis. Int J Radiat
Oncol Biol Phys 50(2): 301-7
48. Rubin P, McDonald S, Maasilta P, et al. (1989) Serum markers for prediction of pulmonary
l l
radiation syndromes. Part I: Surfactant apoprotein. Int J Radiat Oncol Biol Phys 17(3):
553-8
49. Hart JP, Broadwater G, Rabbani Z, et al. (2005) Cytokine profiling for prediction of
l l
symptomatic radiation-induced lung injury. Int J Radiat Oncol Biol Phys 63(5): 1448-54
50. Lutgens LC, Deutz N, Granzier-Peeters M, et al. (2004) Plasma citrulline concentration: a
l l
surrogate end point for radiation-induced mucosal atrophy of the small bowel. A feasibility
study in 23 patients. Int J Radiat Oncol Biol Phys 60(1): 275-85
51. Onal C, Kotek A, Unal B, et al. (2011) Plasma citrulline levels predict intestinal toxicity in
l l
patients treated with pelvic radiotherapy. Acta Oncol 50(8): 1167-74
52. Skiold S, Naslund I, Brehwens K, et al. (2013) Radiation-induced stress response in
l l
peripheral blood of breast cancer patients differs between patients with severe acute skin
reactions and patients with no side effects to radiotherapy. Mutat Res 756(1-2): 152-7
53. Menard C, Johann D, Lowenthal M, et al. (2006) Discovering clinical biomarkers of
ionizing radiation exposure with serum proteomic analysis. Cancer Res 66(3): 1844-50
54. Cai XW, Shedden K, Ao X, et al. (2010) Plasma proteomic analysis may identify new
markers for radiation-induced lung toxicity in patients with non-small-cell lung cancer. Int
J Radiat Oncol Biol Phys 77(3): 867-76
55. Cai XW, Shedden KA, Yuan SH, et al. (2011) Baseline plasma proteomic analysis to identify
l l
biomarkers that predict radiation-induced lung toxicity in patients receiving radiation for
non-small cell lung cancer. J Thorac Oncol 6(6): 1073-8
56. Oh JH, Craft JM, Townsend R, et al. (2011) A bioinformatics approach for biomarker
identification in radiation-induced lung inflammation from limited proteomics data. J
Proteome Res 10(3): 1406-15