| Literature DB >> 32871861 |
Yiyi Zhang1, Ye Wang2, Xing Liu1, Bin Chen2, Jinfu Zhuang1, Shoufeng Li1, Yuanfeng Yang2, Yibin Su3, Guoxian Guan1.
Abstract
To determine the efficacy of neoadjuvant chemoradiotherapy (NCRT) between young and old patients with locally advanced rectal cancer (LARC) in terms of tumor response and survival outcome.LARC patients undergoing NCRT and radical surgery from 2011 to 2015 were included and divided into: young (aged ≤50 years) and old group (aged >50 years). Multivariate analyses were performed to identify risk factors for local recurrence. Least absolute shrinkage and selection operator analysis was performed to identify risk factors for overall survival. Predicting nomograms and time-indepent receiver operating characteristic curve analysis were performed to compare the models containing with/withour age groups.A total of 572 LARC patients were analyzed. The young group was associated with higher pathological TNM stage, poorly differentiated tumors, and higher rate of positive distal resection margin (P = .010; P = .019; P = .023 respectively). Young patients were associated with poorer 5-year disease-free survival and local recurrence rates (P = .023, P = .003 respectively). Cox regression analysis demonstrated that age ≤50 years (Hazard ratio = 2.994, P = .038) and higher pathological TNM stage (Hazard ratio = 3.261, P = .005) were significantly associated with increased risk for local recurrence. Least absolute shrinkage and selection operator analysis and the time-indepent receiver operating characteristic curve analysis demonstrated that including the age group were superior than that without age group.Young patients were associated with poorer disease free survival (DFS) and a higher risk for local recurrence in LARC following NCRT. The predicting model basing based on the age group had a better predictive ability. More intense adjuvant treatment could be considered to improve DFS and local control for young patients with LARC following NCRT.Entities:
Mesh:
Year: 2020 PMID: 32871861 PMCID: PMC7458213 DOI: 10.1097/MD.0000000000021304
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.817
Figure 1Time trends of CRC incidence and mortality for the population all patients (A), age over 50 (B) and age under 50 (C) a steady decrease in both incidence and mortality in the older age group but an increase in incidence in those younger than age 50. Note the difference in the vertical axis. Graphs generated from Cancer Control Planet https://statecancerprofiles.cancer.gov/historicaltrend/index.php.
Patient characteristic in patients with LARC following NCRT.
Operative and postoperative outcomes in patients with LARC following NCRT.
Figure 2(A) Disease-free survival in all patients, (B) Disease-free survival in Non-pCR patients, (C) cumulative local recurrence between young and old groups. pCR = pathological complete response.
Univariate and multivariate analysis of predictive factors for local recurrence and DFS in patients with LARC following NCRT (n = 572).
Figure 3Construction of the factors for the overall survival. (A) LASSO coeffi cient profi les of the 29 factors, (B) The AUC was estimated with cross-validation technique and the largest lambda value was chosen when the cross-validation error was within 1 standard error of the minimum. (C) and (D) Nomogram developed for prediction of overall survival, (C) the model with age group and (D) the model without age group. (E) Time-dependent AUC curves of 2 models for the prediction of overall survival. AUC = area under the curves.
Figure 4Disease-free survival in young patients between (A) gender group, (B) histopathology group, (C) tumor differentiation group, (D) pathological TNM stage group, (E) RCRG grade group, (F) pCR group. pCR = pathological complete response, RCRG = rectal cancer regression grade.