scholarly journals Locally Advanced Rectal Cancer Patients Got PCR After Chemoradiotherapy May Have Better Survival Outcomes: A Retrospective Analysis of 246 Patients.

Author(s):  
Yong Wang ◽  
Dongyan Liu ◽  
Lisha Peng ◽  
Feng Wang ◽  
Rongqing Li

Abstract Objective: To investigate whether the locally advanced rectal cancer patients who got a pathological complete response after neo-adjuvant chemoradiotherapy have a better survival. Methods: From January 1 2014 to January 1 2018, the clinical information of locally advanced rectal cancer patients who underwent neo-adjuvant chemoradiotherapy were collected for a retrospective analysis. Then a telephone follow-up visit was done to get the patients’ survival information of progression-free survival and overall survival. At last the information was analyzed by Kaplan-Meier analysis, log-rank test and cox-regression analysis. Results: The clinical information of 246 locally advanced rectal cancer patients were collected and analyzed, which shows that the PCR rate after chemoradiotherapy was 20.3% in these patients. There were correlations between pathological grade(grade III-IV Vs. I-II, P=0.001), CRM invasion(positive Vs. negative, P=0.001), clinical T stage(T4 Vs. T1-3, P=0.000), PCR status(PCR Vs. Non-PCR, P=0.027), downstage after preoperative therapy(yes Vs. not, P=0.009) and PFS. Similarly, age(≤60 Vs. >60, P=0.000), pathological grade(grade III-IV Vs. I-II, P=0.016), EMVI status(positive Vs. negative, P=0.005), CRM invasion(positive Vs. negative, P=0.000), clinical T stage(T4 Vs. T1-3, P=0.000), clinical N stage(N0-1 Vs. N2, P=0.013), PCR status(PCR Vs. Non-PCR, P=0.010), downstage after preoperative therapy(yes Vs. not, P=0.002) were associated with the OS. After the Cox-regression analyses, the responses after preoperative therapy or T4 tumors were identified as the prognostic factors that affected PFS and OS. Conclusions: The PCR rate after chemoradiotherapy was 20.3% in locally advanced rectal patients. Stage T1-3, better response after chemoradiotherapy tumors (PCR or downstage) might have a better survival outcome.

2020 ◽  
Vol 150 ◽  
pp. S48-S49
Author(s):  
Aswin George Abraham ◽  
Nawaid Usmani ◽  
Karen Mulder ◽  
JoAnn Thai ◽  
Sunita Ghosh ◽  
...  

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Jiazhou Wang ◽  
Lijun Shen ◽  
Haoyu Zhong ◽  
Zhen Zhou ◽  
Panpan Hu ◽  
...  

Abstract This retrospective study was to investigate whether radiomics feature come from radiotherapy treatment planning CT can predict prognosis in locally advanced rectal cancer patients treated with neoadjuvant chemoradiation followed by surgery. Four-hundred-eleven locally advanced rectal cancer patients which were treated with neoadjuvant chemoradiation enrolled in this study. All patients’ radiotherapy treatment planning CTs were collected. Tumor was delineated on these CTs by physicians. An in-house radiomics software was used to calculate 271 radiomics features. The results of test-retest and contour-recontour studies were used to filter stable radiomics (Spearman correlation coefficient > 0.7). Twenty-one radiomics features were final enrolled. The performance of prediction model with the radiomics or clinical features were calculated. The clinical outcomes include local control, distant control, disease-free survival (DFS) and overall survival (OS). Model performance C-index was evaluated by C-index. Patients are divided into two groups by cluster results. The results of chi-square test revealed that the radiomics feature cluster is independent of clinical features. Patients have significant differences in OS (p = 0.032, log rank test) for these two groups. By supervised modeling, radiomics features can improve the prediction power of OS from 0.672 [0.617 0.728] with clinical features only to 0.730 [0.658 0.801]. In conclusion, the radiomics features from radiotherapy CT can potentially predict OS for locally advanced rectal cancer patients with neoadjuvant chemoradiation treatment.


2011 ◽  
Vol 29 (15_suppl) ◽  
pp. e14156-e14156
Author(s):  
H. F. EL-Shazly. ◽  
G. Schlimok ◽  
A. F. Barakat ◽  
L. A. Korashy ◽  
N. M. El Mashad

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 3613-3613
Author(s):  
Shiru Lucy Liu ◽  
Pierre O'Brien ◽  
Yizhou Zhao ◽  
Wilma M Hopman ◽  
Nathan William Dana Lamond ◽  
...  

3613 Background: Little is known about the benefit and use of adjuvant chemotherapy (ADJ) in the elderly population (age ≥ 65) with locally advanced rectal cancer (LARC). We undertook a provincial review of LARC patients to evaluate the potential benefits, including survival and time to relapse (TTR), of ADJ in elderly patients. Methods: We performed a retrospective analysis of 286 LARC patients (stage 2 and 3) diagnosed between January 2010 and December 2013 from Nova Scotia, Canada, who underwent curative-intent surgery. Baseline patient, tumor and treatment characteristics were collected. Survival and TTR analysis were performed using Kaplan-Meier and Cox-regression statistics. Results: 152 patients were age ≥65, and 92 age ≥70. Median follow-up was 46 months. 178 patients (62%) received neoadjuvant chemo-radiation (NEOADJ). While 109 patients (81%) age < 65 received ADJ, only 68 patients (45%) age ≥ 65 received ADJ. Kaplan-Meier analysis revealed a significant survival and TTR advantage for ADJ irrespective of age (table). In cox-regression multivariate analysis, ECOG status, T stage, and ADJ were significant predictors of survival (p < 0.04), while age was not. Similarly, N stage, NEOADJ, and ADJ were significant predictors of TTR (p < 0.007). Poor ECOG status was the most common cause of ADJ omission. There was a significantly higher amount of grade≥ 1 chemotherapy-related toxicity experienced by patients age ≥ 65 treated with ADJ compared to no ADJ (77% vs 32%, p < 0.0001), which consisted mostly of diarrhea and mucositis. Toxicity was the main reason for non-completion of ADJ in the elderly. Conclusions: Elderly patients with LARC have significantly improved overall survival with ADJ, but the use of ADJ is lower than in patients age < 65. However, elderly patients experience more chemotherapy-related toxicities, leading to higher rates of early treatment discontinuation. [Table: see text]


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