@article {65, title = {Data from: Benefit of particle therapy in re-irradiation of head and neck patients. Results of a multicenter in silico ROCOCO trial}, year = {2016}, abstract = {

Background and Purpose

In this multicentric in silico trial we compared photon, proton, and carbon ion radiotherapy plans for re-irradiation of patients with squamous cell carcinoma of the head and neck (HNSCC) regarding dose to tumour and doses to surrounding organs at risk (OARs).

Material and Methods

Twenty-five HNSCC patients with a second new or recurrent cancer after previous irradiation (70 Gy) were included. Intensity-modulated proton therapy (IMPT) and ion therapy (IMIT) re-irradiation plans to, again, a total dose of 70 Gy were compared to photon therapy delivered with volumetric modulated arc therapy (VMAT).

Results

When comparing IMIT and IMPT to VMAT the mean dose to all 22 OARs was statistically significantly reduced for IMIT and to 15 out of 22 OARs (68\%) using IMPT. The maximum dose to 2\% volume (D2) of the brainstem and spinal cord were statistically significantly reduced using IMPT and IMIT compared to VMAT. The data are available on www.cancerdata.org.

Conclusions

In this ROCOCO in silico trial, a reduction in mean dose to OARs was achieved using particle therapy compared to photons in the re-irradiation of HNSCC. There was a dosimetric benefit favouring carbon-ions above proton therapy. These dose reductions may potentially translate into lower severe complication rates related to the re-irradiation.

}, doi = {10.17195/candat.2016.04.2}, author = {Danielle Eekers and Erik Roelofs and Urszula Jelen and Maura Kirk and Marlies Granzier and Filippo Ammazzalorso and Peter H. Ahn and Geert O.R.J Janssens and Frank Hoebers and Tobias Friedmann and Timothy Solberg and Sean Walsh and Esther G C Troost and Johannes H.A.M. Kaanders and Philippe Lambin} } @article {64, title = {Data from: Prognostic value of blood-biomarkers related to hypoxia, inflammation, immune response and tumour load in non-small cell lung cancer {\textendash} a survival model with external validation}, year = {2016}, abstract = {

Aim: Improve the prognostic prediction of clinical variables for non-small cell lung cancer (NSCLC), by selecting from blood-biomarkers, non-invasively describing hypoxia, inflammation and tumour load.

Methods: \ Model development and validation included 182 and 181 inoperable stage I-IIIB NSCLC patients treated radically with radiotherapy (55.2\%) or chemo-radiotherapy (44.8\%). Least absolute shrinkage and selection operator (LASSO), selected from blood-biomarkers related to hypoxia [osteopontin (OPN) and carbonic anhydrase IX (CA-IX)], inflammation [interleukin-6 (IL-6), IL-8, and C-reactive protein (CRP)], and tumour load [carcinoembryonic antigen (CEA), and cytokeratin fragment 21-1 (Cyfra 21-1)]. Sequent model extension selected from alpha-2-macroglobulin (α2M), serum interleukin-2 receptor (sIL2r), toll-like receptor 4 (TLR4), and vascular endothelial growth factor (VEGF). Discrimination was reported by concordance-index.

Results: OPN and Cyfra 21-1 (hazard ratios of 3.3 and 1.7) significantly improved a clinical model comprising gender, World Health Organization performance-status, forced expiratory volume in 1 second, number of positive lymph node stations, and gross tumour volume, from a concordance-index of 0.66 to 0.70 (validation = 0.62 and 0.66). Extension of the validated model yielded a concordance-index of 0.67, including α2M, sIL2r and VEGF (hazard ratios of 4.6, 3.1, and 1.4).

Conclusion: Improvement of a clinical model including hypoxia and tumour load blood-biomarkers was validated. New immunological markers were associated with overall survival. Data and models can be found at www.cancerdata.org\ (DOI:10.17195/candat.2016.04.1) and www.predictcancer.org.

}, doi = {10.17195/candat.2016.04.1}, author = {Sara Carvalho and Esther G C Troost and Judith Bons and Paul Menheere and Philippe Lambin and Cary Oberije} } @article {34, title = {Cardiac comorbidity is an independent risk factor for radiation-induced lung toxicity in lung cancer patients}, journal = {Radiotherapy and Oncology}, volume = {109}, year = {2013}, month = {Jan-10-2013}, pages = {100 - 106}, issn = {01678140}, doi = {10.1016/j.radonc.2013.08.035}, url = {http://linkinghub.elsevier.com/retrieve/pii/S0167814013004350}, author = {Nalbantov, Georgi and Kietselaer, Bas and Vandecasteele, Katrien and Cary Oberije and Maaike Berbee and Esther G C Troost and Anne-Marie C. Dingemans and Baardwijk, Angela van and Smits, Kim and Andr{\'e} Dekker and Johan Bussink and Dirk De Ruysscher and Lievens, Yolande and P. Lambin} } Error | CancerData.org

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