Role of pelvic radiotherapy for locally advanced rectal cancer and synchronous unresectable distant metastases

2016 ◽  
Vol 20 (8) ◽  
pp. 805-810 ◽  
Author(s):  
K.T. Liu ◽  
J.F. Wan ◽  
J. Zhu ◽  
G.C. Li ◽  
W.J. Sun ◽  
...  
2014 ◽  
Vol 32 (3_suppl) ◽  
pp. 613-613
Author(s):  
Kirsten Elizabeth Jean Laws ◽  
Christina Wilson ◽  
Stephen Harrow

613 Background: Neoadjuvant long course chemoradiotherapy is a well recognised treatment in locally advanced rectal cancer. Patients with pelvic side wall nodes are often considered for neoadjuvant treatment. We investigated whether pelvic side wall nodes identified on pre-treatment imaging is a poor prognostic factor and whether there are different patterns of recurrence compared to patients without pelvic side wall node involvement. Methods: All patients treated with long course chemoradiotherapy between January 2008 and December 2009 were identified. Patients were excluded if treatment indication was for inoperable disease, postoperative, recurrence, or palliative intent. 231 patients were identified and a retrospective analysis performed investigating patterns of recurrence and survival for patients with pelvic side wall nodes identified on pre-treatment imaging. Results: Kaplan Meier curves are presented showing patients with pelvic side wall nodes identified on pre-treatment imaging appear to have poorer outcomes and overall survival compared with those with only mesorectal nodes or no nodes. Patterns of recurrence are presented, showing patients with pelvic side wall nodes identified on pre-treatment imaging have a non significant trend to increased rates of disease recurrence (local and distal recurrence combined, 45.7% versus 27.9% for pelvic side wall nodes versus no pelvic side wall nodes). Patients with pelvic side wall nodes identified on pre-treatment imaging appear to be more likely to develop distant metastases compared to those patients who have mesorectal nodes or no nodal involvement (37% versus 23%). Conclusions: Our study highlights that patients with pelvic side wall nodes identified on pre-treatment imaging appear to have a trend to poorer overall survival, are more likely to recur and develop distant metastases. These results were not statistically significant, due to the small number of patients, and the data is consequently limited. We intend to further investigate current management strategies for this subgroup of patients, with assessment of radiotherapy treatment plans, current use of integral boosts, and surgical procedures for this subgroup of patients.


2011 ◽  
Vol 29 (23) ◽  
pp. 3163-3172 ◽  
Author(s):  
Vincenzo Valentini ◽  
Ruud G.P.M. van Stiphout ◽  
Guido Lammering ◽  
Maria Antonietta Gambacorta ◽  
Maria Cristina Barba ◽  
...  

Purpose The purpose of this study was to develop accurate models and nomograms to predict local recurrence, distant metastases, and survival for patients with locally advanced rectal cancer treated with long-course chemoradiotherapy (CRT) followed by surgery and to allow for a selection of patients who may benefit most from postoperative adjuvant chemotherapy and close follow-up. Patients and Methods All data (N = 2,795) from five major European clinical trials for rectal cancer were pooled and used to perform an extensive survival analysis and to develop multivariate nomograms based on Cox regression. Data from one trial was used as an external validation set. The variables used in the analysis were sex, age, clinical tumor stage stage, tumor location, radiotherapy dose, concurrent and adjuvant chemotherapy, surgery procedure, and pTNM stage. Model performance was evaluated by the concordance index (c-index). Risk group stratification was proposed for the nomograms. Results The nomograms are able to predict events with a c-index for external validation of local recurrence (LR; 0.68), distant metastases (DM; 0.73), and overall survival (OS; 0.70). Pathologic staging is essential for accurate prediction of long-term outcome. Both preoperative CRT and adjuvant chemotherapy have an added value when predicting LR, DM, and OS rates. The stratification in risk groups allows significant distinction between Kaplan-Meier curves for outcome. Conclusion The easy-to-use nomograms can predict LR, DM, and OS over a 5-year period after surgery. They may be used as decision support tools in future trials by using the three defined risk groups to select patients for postoperative chemotherapy and close follow-up ( http://www.predictcancer.org ).


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