The evidence for adjuvant therapy in locally advanced rectal cancer after TME surgery is sparse. The aim of this study was to identify predicting factors of overall survival (OS) in these patients and combine them into a nomogram for individualized treatment. 1798 patients with pathologically staged II/III rectal adenocarcinoma treated by radical TME surgery from a single center's database were reviewed. The nomogram was derived by Cox proportional hazards regression. Its performance was assessed by concordance index and calibration curve in internal validation with bootstrapping. Pooled Cox model analysis identified age, sex, grade of histology, pathological T and N stage, residual tumor, concurrent radiochemotherapy (RTCT), adjuvant chemotherapy cycles (CT), radiotherapy (RT) unexpected interruption days and intensity-modulated radiation therapy (IMRT) as significant covariates for 5-year OS (P < 0.05). Postoperative RTCT, CT and IMRT all improved OS. The proposed model can predict 5-year OS with a C-index of 0.7105. IMRT significantly benefited OS in multivariate analysis (p=0.0441). In conclusion, our nomogram can predict 5-year OS after TME surgery for locally advanced rectal cancer with simple and effective advantage. This model may provide not only baseline OS estimate but also a tool for candidates selecting of adjuvant treatment in prospective studies.

Liu, W. Y., Dinapoli, N., Wang, X., Meldolesi, E., Gambacorta, M. A., Chiloiro, G., Ren, H., Fang, H., Lu, N. N., Tang, Y., Deng, L., Wang, J. Y., Jing, H., Xiao, Q., Feng, Y. R., Li, Y. X., Wang, S. L., Song, Y. W., Liu, Y. P., Wang, W. H., Valentini, V., Jin, J., Possible contribution of IMRT in postoperative radiochemotherapy for rectal cancer: Analysis on 1798 patients by prediction model, <<ONCOTARGET>>, 2016; 7 (29): 46536-46544. [doi:10.18632/oncotarget.10228] [http://hdl.handle.net/10807/92487]

Possible contribution of IMRT in postoperative radiochemotherapy for rectal cancer: Analysis on 1798 patients by prediction model

Dinapoli, Nicola
;
Meldolesi, Elisa;Gambacorta, Maria Antonietta;Chiloiro, Giuditta;Valentini, Vincenzo
Penultimo
;
2016

Abstract

The evidence for adjuvant therapy in locally advanced rectal cancer after TME surgery is sparse. The aim of this study was to identify predicting factors of overall survival (OS) in these patients and combine them into a nomogram for individualized treatment. 1798 patients with pathologically staged II/III rectal adenocarcinoma treated by radical TME surgery from a single center's database were reviewed. The nomogram was derived by Cox proportional hazards regression. Its performance was assessed by concordance index and calibration curve in internal validation with bootstrapping. Pooled Cox model analysis identified age, sex, grade of histology, pathological T and N stage, residual tumor, concurrent radiochemotherapy (RTCT), adjuvant chemotherapy cycles (CT), radiotherapy (RT) unexpected interruption days and intensity-modulated radiation therapy (IMRT) as significant covariates for 5-year OS (P < 0.05). Postoperative RTCT, CT and IMRT all improved OS. The proposed model can predict 5-year OS with a C-index of 0.7105. IMRT significantly benefited OS in multivariate analysis (p=0.0441). In conclusion, our nomogram can predict 5-year OS after TME surgery for locally advanced rectal cancer with simple and effective advantage. This model may provide not only baseline OS estimate but also a tool for candidates selecting of adjuvant treatment in prospective studies.
2016
Inglese
Liu, W. Y., Dinapoli, N., Wang, X., Meldolesi, E., Gambacorta, M. A., Chiloiro, G., Ren, H., Fang, H., Lu, N. N., Tang, Y., Deng, L., Wang, J. Y., Jing, H., Xiao, Q., Feng, Y. R., Li, Y. X., Wang, S. L., Song, Y. W., Liu, Y. P., Wang, W. H., Valentini, V., Jin, J., Possible contribution of IMRT in postoperative radiochemotherapy for rectal cancer: Analysis on 1798 patients by prediction model, <<ONCOTARGET>>, 2016; 7 (29): 46536-46544. [doi:10.18632/oncotarget.10228] [http://hdl.handle.net/10807/92487]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/92487
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