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Li N, Zhu Y, Liu L, Feng Y, Wang W, Wang J, Wang H, Li G, Tang Y, Hu C, Liu W, Ren H, Wang S, Wang W, Song Y, Liu Y, Fang H, Tang Y, Lu N, Chen B, Qi S, Li Y, Jin J. Postoperative chemoradiotherapy with capecitabine and oxaliplatin vs. capecitabine for pathological stage N2 rectal cancer. Chin J Cancer Res 2024; 36:577-586. [PMID: 39539813 PMCID: PMC11555201 DOI: 10.21147/j.issn.1000-9604.2024.05.09] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2024] [Accepted: 09/23/2024] [Indexed: 11/16/2024] Open
Abstract
Objective Several studies have been conducted on the effects and toxicity of adding oxaliplatin to fluorouracil-based or capecitabine-based chemoradiotherapy (CRT) regimens as significantly increasing the toxic response without benefit to survival. In this study, we further explored the role of these two postoperative CRT regimens in patients with pathological stage N2 rectal cancer. Methods This study was a subgroup analysis of a randomized clinical trial. A total of 180 patients with pathological stage N2 rectal cancer were eligible, 85 received capecitabine with radiotherapy (RT), and 95 received capecitabine and oxaliplatin with RT. Patients in both groups received adjuvant chemotherapy [capecitabine and oxaliplatin (XELOX); or fluorouracil, leucovorin, and oxaliplatin (FOLFOX)] after CRT. Results At a median follow-up of 59.2 [interquartile range (IQR), 34.0-96.8] months, the three-year disease- free survival (DFS) was 53.3% and 64.9% in the control group and the experimental group, respectively [hazard ratio (HR), 0.63; 95% confidence interval (95% CI), 0.41-0.98; P=0.04]. There was no significant difference between the groups in overall survival (OS) (HR, 0.62; 95% CI, 0.37-1.05; P=0.07), the incidence of locoregional recurrence (HR, 0.62; 95% CI, 0.24-1.64; P=0.33), the incidence of distant metastasis (HR, 0.67; 95% CI, 0.42-1.06; P=0.09) and grade 3-4 acute toxicities (P=0.78). For patients with survival longer than 3 years, the conditional overall survival (COS) was significantly better in the experimental group (HR, 0.39; 95% CI, 0.16-0.96; P=0.03). Conclusions Our results indicated that adding oxaliplatin to capecitabine-based postoperative CRT is safe and effective in patients with pathological stage N2 rectal cancer.
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Affiliation(s)
- Ning Li
- State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Yuan Zhu
- Department of Radiation Oncology, Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Institute of Cancer and Basic Medicine, Chinese Academy of Sciences, Hangzhou 310022, China
| | - Luying Liu
- Department of Radiation Oncology, Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Institute of Cancer and Basic Medicine, Chinese Academy of Sciences, Hangzhou 310022, China
| | - Yanru Feng
- Department of Radiation Oncology, Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Institute of Cancer and Basic Medicine, Chinese Academy of Sciences, Hangzhou 310022, China
| | - Wenling Wang
- Department of Radiation Oncology, Guizhou Cancer Hospital, Guiyang 550001, China
| | - Jun Wang
- Department of Radiation Oncology, Tumor Hospital of Hebei Province, Shijiazhuang 050011, China
| | - Hao Wang
- Department of Radiation Oncology, Peking University Third Hospital, Beijing 100034, China
| | - Gaofeng Li
- Department of Radiation Oncology, Beijing Hospital, Beijing 100730, China
| | - Yuan Tang
- State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Chen Hu
- Division of Biostatistics and Bioinformatics, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Wenyang Liu
- State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Hua Ren
- Department of Radiation Oncology, United Family Healthcare, Shenzhen 518038, China
| | - Shulian Wang
- State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Weihu Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Yongwen Song
- State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Yueping Liu
- State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Hui Fang
- State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Yu Tang
- State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Ningning Lu
- State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Bo Chen
- State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Shunan Qi
- State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Yexiong Li
- State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Jing Jin
- State Key Laboratory of Molecular Oncology, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China
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Chen WW, Wang WL, Dong HM, Wang G, Li XK, Li GD, Chen WH, Chen J, Bai SX. The number of cycles of adjuvant chemotherapy in stage III and high-risk stage II rectal cancer: a nomogram and recursive partitioning analysis. World J Surg Oncol 2022; 20:119. [PMID: 35413852 PMCID: PMC9003995 DOI: 10.1186/s12957-022-02582-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 03/23/2022] [Indexed: 11/10/2022] Open
Abstract
Objective The prognostic role of the number of cycles of adjuvant chemotherapy (ACT) after total mesorectal excision in stage III and high-risk stage II rectal cancer is unknown. As a result of this, our study was designed to assess the effect of the number of cycles of ACT on the prediction of cancer-specific survival. Methods Four hundred patients that were diagnosed as stage III and high-risk stage II rectal cancer from January 2012 to January 2018 and who had received total mesorectal excision were enrolled in this study. A nomogram incorporating the number of cycles of ACT was also developed in this study. For internal validation, the bootstrap method was used and the consistency index was used to evaluate the accuracy of the model. The patients were stratified into risk groups according to their tumor characteristics by recursive partitioning analysis. Results We found that the risk of death was decreased by 26% (HR = 0.74, 95% CI: 0.61–0.89, P = 0.0016) with each increasing ACT cycle. The N stage, positive lymph node ratio (PLNR), carcinoembryonic antigen, neutrophil-to-lymphocyte ratio, and the number of cycles of ACT were chosen and entered into the nomogram model. Recursive partitioning analysis-based risk stratification revealed a significant difference in the prognosis in rectal cancer patients with high-risk, intermediate-risk, and low-risk (3-year cancer-specific survival: 0.246 vs. 0.795 vs. 0.968, P < 0.0001). Seven or more cycles of ACT yielded better survival in patients with PLNR ≥ 0.28 but not in patients with PLNR < 0.28. Conclusion In conclusion, the nomogram prognosis model based on the number of cycles of ACT predicted individual prognosis in rectal cancer patients who had undergone total mesorectal excision. These findings further showed that in patients with PLNR ≥ 0.28, no fewer than 7 cycles of ACT are needed to significantly reduce the patient’s risk of death.
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Affiliation(s)
- Wei-Wei Chen
- Department of Oncology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550000, China. .,Department of Clinical Medicine, Guizhou Medical University, Guiyang, 550000, China. .,Department of Abdominal Oncology, Affiliated Cancer Hospital of Guizhou Medical University, Guiyang, 550000, China.
| | - Wen-Ling Wang
- Department of Oncology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550000, China.,Department of Abdominal Oncology, Affiliated Cancer Hospital of Guizhou Medical University, Guiyang, 550000, China
| | - Hong-Min Dong
- Department of Oncology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550000, China.,Department of Abdominal Oncology, Affiliated Cancer Hospital of Guizhou Medical University, Guiyang, 550000, China
| | - Gang Wang
- Department of Oncology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550000, China.,Department of Abdominal Oncology, Affiliated Cancer Hospital of Guizhou Medical University, Guiyang, 550000, China
| | - Xiao-Kai Li
- Department of Oncology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550000, China.,Department of Abdominal Oncology, Affiliated Cancer Hospital of Guizhou Medical University, Guiyang, 550000, China
| | - Guo-Dong Li
- Department of Oncology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550000, China.,Department of Abdominal Oncology, Affiliated Cancer Hospital of Guizhou Medical University, Guiyang, 550000, China
| | - Wang-Hua Chen
- Department of Oncology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550000, China.,Department of Clinical Medicine, Guizhou Medical University, Guiyang, 550000, China.,Department of Abdominal Oncology, Affiliated Cancer Hospital of Guizhou Medical University, Guiyang, 550000, China
| | - Juan Chen
- Department of Oncology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550000, China.,Department of Clinical Medicine, Guizhou Medical University, Guiyang, 550000, China.,Department of Abdominal Oncology, Affiliated Cancer Hospital of Guizhou Medical University, Guiyang, 550000, China
| | - Sai-Xi Bai
- Department of Abdominal Oncology, Affiliated Cancer Hospital of Guizhou Medical University, Guiyang, 550000, China
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Gao XH, Zhai BZ, Li J, Kabemba JLT, Gong HF, Bai CG, Liu ML, Zhang ST, Shen F, Liu LJ, Zhang W. Which Definition of Upper Rectal Cancer Is Optimal in Selecting Stage II or III Rectal Cancer Patients to Avoid Postoperative Adjuvant Radiation? Front Oncol 2021; 10:625459. [PMID: 33643920 PMCID: PMC7907590 DOI: 10.3389/fonc.2020.625459] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Accepted: 12/23/2020] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND In most guidelines, upper rectal cancers (URC) are not recommended to take neoadjuvant or adjuvant radiation. However, the definitions of URC vary greatly. Five definitions had been commonly used to define URC: 1) >10 cm from the anal verge by MRI; 2) >12 cm from the anal verge by MRI; 3) >10 cm from the anal verge by colonoscopy; 4) >12 cm from the anal verge by colonoscopy; 5) above the anterior peritoneal reflection (APR). We hypothesized that the fifth definition is optimal to identify patients with rectal cancer to avoid adjuvant radiation. METHODS The data of stage II/III rectal cancer patients who underwent radical surgery without preoperative chemoradiotherapy were retrospectively reviewed. The height of the APR was measured, and compared with the tumor height measured by digital rectal examination (DRE), MRI and colonoscopy. The five definitions were compared in terms of prediction of local recurrence, survival, and percentages of patients requiring radiation. RESULTS A total of 576 patients were included, with the intraoperative location of 222 and 354 tumors being above and straddle/below the APR, respectively. The median distance of the APR from anal verge (height of APR) as measured by MRI was 8.7 (range: 4.5-14.3) cm. The height of APR positively correlated with body height (r=0.862, P<0.001). The accuracy of the MRI in determining the tumor location with respect to the APR was 92.1%. Rectal cancer above the APR had a significantly lower incidence of local recurrence than those straddle/below the APR (P=0.042). For those above the APR, there was no significant difference in local recurrence between the radiation and no-radiation group. Multivariate analyses showed that tumor location regarding APR was an independent risk factor for LRFS. Tumor height as measured by DRE, MRI and colonoscopy were not related with survival outcomes. Fewer rectal cancer patients required adjuvant radiation using the definition by the APR, compared with other four definitions based on a numerical tumor height measured by MRI and colonoscopy. CONCLUSIONS The definition of URC as rectal tumor above the APR, might be the optimal definition to select patients with stage II/III rectal cancer to avoid postoperative adjuvant radiation.
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Affiliation(s)
- Xian Hua Gao
- Department of Colorectal Surgery, Changhai Hospital, Shanghai, China
- Hereditary Colorectal Cancer Center and Genetic Block Center of Familial Cancer, Changhai Hospital, Shanghai, China
| | - Bai Zhi Zhai
- Department of Colorectal Surgery, Changhai Hospital, Shanghai, China
- Department of Colorectal Surgery, The 6th People’s Hospital of Kunshan, Suzhou, China
| | - Juan Li
- Department of Nephrology, Changhai Hospital, Shanghai, China
| | - Jean Luc Tshibangu Kabemba
- Department of Colorectal Surgery, Changhai Hospital, Shanghai, China
- Department of General Surgery, Central Military Hospital, Kinshasa, Democratic Republic of Congo
| | - Hai Feng Gong
- Department of Colorectal Surgery, Changhai Hospital, Shanghai, China
- Hereditary Colorectal Cancer Center and Genetic Block Center of Familial Cancer, Changhai Hospital, Shanghai, China
| | - Chen Guang Bai
- Department of Pathology, Changhai Hospital, Shanghai, China
| | - Ming Lu Liu
- Department of Radiology, Changhai Hospital, Shanghai, China
| | | | - Fu Shen
- Department of Radiology, Changhai Hospital, Shanghai, China
| | - Lian Jie Liu
- Department of Colorectal Surgery, Changhai Hospital, Shanghai, China
| | - Wei Zhang
- Department of Colorectal Surgery, Changhai Hospital, Shanghai, China
- Hereditary Colorectal Cancer Center and Genetic Block Center of Familial Cancer, Changhai Hospital, Shanghai, China
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León X, Rodriguez C, Rovira C, García J, López M, Quer M. Analysis of Specific Survival and Local Control Through a Recursive Partitioning Analysis in Patients With Head and Neck Carcinoma. ACTA OTORRINOLARINGOLOGICA ESPANOLA 2020. [DOI: 10.1016/j.otoeng.2019.02.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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León X, Rodriguez C, Rovira C, García J, López M, Quer M. Analysis of specific survival and local control through a recursive partitioning analysis in patients with head and neck carcinoma. ACTA OTORRINOLARINGOLOGICA ESPANOLA 2019; 71:131-139. [PMID: 31060733 DOI: 10.1016/j.otorri.2019.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2019] [Revised: 02/18/2019] [Accepted: 02/21/2019] [Indexed: 11/17/2022]
Abstract
INTRODUCTION AND OBJECTIVES Recursive partitioning analysis (RPA) is a technique that allows prognostic classification in oncological patients. The aim of the present study is to analyse by means of an RPA a cohort of patients with squamous carcinomas of the head and neck (SCHN). METHODS 5,226 SCHN were retrospectively analysed with an RPA, considering the specific survival and local control of the disease as dependent variables. A cohort of patients was used for the creation of the classification model, and another cohort was used to carry out its internal validation. RESULTS Considering specific survival as a dependent variable we obtained a classification tree with 14 terminal nodes that were grouped into 5 categories, including as partition variables the local and regional extent of the tumour, and the location of the tumour. When considering the local control of the disease as a dependent variable we obtained a classification tree with 10 terminal nodes that were grouped into 4 categories, including as partition variables the local extension and location of the tumour, the type of treatment performed, the age of the patient, and if it was a first tumour or a subsequent neoplasm. The validation study confirmed the prognostic capacity of the models developed with the RPA. One of the advantages of the RPA is that it allows the identification of groups of patients with specific behaviour. CONCLUSION RPA is shown to be an effective technique for the prognostic classification of patients with a SCHN.
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Affiliation(s)
- Xavier León
- Servicio de Otorrinolaringología, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, España; Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, España.
| | - Camilo Rodriguez
- Servicio de Otorrinolaringología, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, España
| | - Carlota Rovira
- Servicio de Otorrinolaringología, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, España
| | - Jacinto García
- Servicio de Otorrinolaringología, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, España
| | - Montserrat López
- Servicio de Otorrinolaringología, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, España
| | - Miquel Quer
- Servicio de Otorrinolaringología, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, España
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