Treatment sequence, hospital practice patterns, and completion of multimodality therapy for locally advanced gastric cancer.

2020 ◽  
Vol 38 (29_suppl) ◽  
pp. 14-14
Author(s):  
Jorge Ignacio Portuondo ◽  
Hop Sanderson Tran Cao ◽  
Nader Nabile Massarweh

14 Background: Optimal oncologic care for patients with locally advanced gastric cancer includes multimodality therapy (MMT). While both perioperative chemotherapy and postoperative chemoradiotherapy are recommended, it is unclear whether one approach is more effective for ensuring patients complete MMT. Methods: National cohort study of 5,450 patients with locally advanced gastric cancer (i.e.: ≥cT2 and/or cN+) treated at 983 hospitals within the National Cancer Data Base (2006-15). Patients were categorized as having surgery first or chemotherapy first (patients not undergoing resection after chemotherapy or not receiving adjuvant after surgery were included based on intent-to-treat). MMT was defined as surgical resection with either neoadjuvant chemotherapy or adjuvant chemoradiotherapy. Hospitals were categorized into terciles based on utilization of chemotherapy first: 1.) predominantly chemotherapy first; 2.) mixed pattern; 2.) predominantly surgery first. The association between patient-level treatment, hospital practice pattern, and MMT completion was evaluated using multivariable hierarchical regression and the association with overall risk of death using multivariable Cox shared frailty modeling. Results: Overall, 55.5% of surgery first and 64.8% of chemotherapy first patients completed MMT (p<0.001) and five-year survival for those completing MMT was 45.5% and 46.6%, respectively (log-rank, p=0.91). At the patient-level, chemotherapy first was significantly associated with MMT completion (Odds Ratio [OR] 1.61 [1.39– 1.86]). By comparison, relative to mixed hospitals, care at surgery first hospitals was associated with MMT completion (OR 1.32 [1.08 – 1.59]), which was due to differences in case-mix and the proportion of patients not receiving resection after chemotherapy (surgery first hospitals—4.1%; mixed hospitals—19.0%; chemotherapy first hospitals—29.4%, p<0.001). MMT by either approach was associated with lower risk of death (ref—surgery only; chemotherapy first – Hazard Ratio [HR] 0.77 [0.68 – 0.86]; surgery first – HR 0.77 [0.68 – 0.87]) while hospital practice pattern was not. Conclusions: The type of MMT strategy is less important than ensuring patients complete MMT. After accounting for treatment drop-outs (which are substantial with either strategy), chemotherapy first appears more effective in the general community for ensuring patients complete MMT. National guidelines should be modified to emphasize neoadjuvant over surgery first MMT strategies.

2019 ◽  
Vol 237 ◽  
pp. 41-49
Author(s):  
Yvonne H. Sada ◽  
Brandon G. Smaglo ◽  
Hop S. Tran Cao ◽  
Henry Mok ◽  
Benjamin L. Musher ◽  
...  

2001 ◽  
Vol 120 (5) ◽  
pp. A129-A129
Author(s):  
E NEWMAN ◽  
S MARCUS ◽  
M POTMESIL ◽  
H HOCHSTER ◽  
H YEE ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jaeseung Shin ◽  
Joon Seok Lim ◽  
Yong-Min Huh ◽  
Jie-Hyun Kim ◽  
Woo Jin Hyung ◽  
...  

AbstractThis study aims to evaluate the performance of a radiomic signature-based model for predicting recurrence-free survival (RFS) of locally advanced gastric cancer (LAGC) using preoperative contrast-enhanced CT. This retrospective study included a training cohort (349 patients) and an external validation cohort (61 patients) who underwent curative resection for LAGC in 2010 without neoadjuvant therapies. Available preoperative clinical factors, including conventional CT staging and endoscopic data, and 438 radiomic features from the preoperative CT were obtained. To predict RFS, a radiomic model was developed using penalized Cox regression with the least absolute shrinkage and selection operator with ten-fold cross-validation. Internal and external validations were performed using a bootstrapping method. With the final 410 patients (58.2 ± 13.0 years-old; 268 female), the radiomic model consisted of seven selected features. In both of the internal and the external validation, the integrated area under the receiver operating characteristic curve values of both the radiomic model (0.714, P < 0.001 [internal validation]; 0.652, P = 0.010 [external validation]) and the merged model (0.719, P < 0.001; 0.651, P = 0.014) were significantly higher than those of the clinical model (0.616; 0.594). The radiomics-based model on preoperative CT images may improve RFS prediction and high-risk stratification in the preoperative setting of LAGC.


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