题名 | Nomograms integrating the collagen signature and systemic immune-inflammation index for predicting prognosis in rectal cancer patients |
作者 | |
通讯作者 | Zhuo, Shuangmu; Yan, Jun |
发表日期 | 2024-03-01
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DOI | |
发表期刊 | |
ISSN | 2474-9842
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卷号 | 8期号:2 |
摘要 | ["Background This study aimed to develop and validate a model based on the collagen signature and systemic immune-inflammation index to predict prognosis in rectal cancer patients who underwent neoadjuvant treatment.Methods Patients with rectal cancer who had residual disease after neoadjuvant treatment at two Chinese institutions between 2010 and 2018 were selected, one used as a training cohort and the other as a validation cohort. In total, 142 fully quantitative collagen features were extracted using multiphoton imaging, and a collagen signature was generated by least absolute shrinkage and selection operator Cox regression. Nomograms were developed by multivariable Cox regression. The performance of the nomograms was assessed via calibration, discrimination and clinical usefulness. The outcomes of interest were overall survival and disease-free survival calculated at 1, 2 and 3 years.Results Of 559 eligible patients, 421 were selected (238 for the training cohort and 183 for the validation cohort). The eight-collagen-features collagen signature was built and multivariable Cox analysis demonstrated that it was an independent prognostic factor of prognosis along with the systemic immune-inflammation index, lymph node status after neoadjuvant treatment stage and tumour regression grade. Then, two nomograms that included the four predictors were computed for disease-free survival and overall survival. The nomograms showed satisfactory discrimination and calibration with a C-index of 0.792 for disease-free survival and 0.788 for overall survival in the training cohort and 0.793 for disease-free survival and 0.802 for overall survival in the validation cohort. Decision curve analysis revealed that the nomograms could add more net benefit than the traditional clinical-pathological variables.Conclusions The study found that the collagen signature, systemic immune-inflammation index and nomograms were significantly associated with prognosis.","The study found that the collagen signature and systemic immune-inflammation index were significantly associated with prognosis. The nomograms have the potential to be a useful tool for predicting individual prognosis in non-pathological complete response patients to guide further management."] |
相关链接 | [来源记录] |
收录类别 | |
语种 | 英语
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学校署名 | 通讯
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资助项目 | National Natural Science Foundation of China[82273360]
; Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Cancer[2020B121201004]
; Guangdong Provincial Major Talents Project[2019JC05Y361]
; Science and Technology Planning Project of Guangzhou City[202206010085]
; Clinical Research Project of Nanfang Hospital["2020CR001","2020CR011"]
; National Training Program for Undergraduate Innovation and Entrepreneurship["202212121011","S202212121104","S202212121092"]
; Postdoctoral Fellowship Program of CPSF[GZC20231069]
; Science and Technology Program of Guangzhou[2023A04J2393]
; President Foundation of Nanfang Hospital, Southern Medical University["2022B021","2023B016"]
; Natural Science Foundation of Chongqing[cstc2018jxjl130081]
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WOS研究方向 | Surgery
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WOS类目 | Surgery
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WOS记录号 | WOS:001188689500004
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出版者 | |
来源库 | Web of Science
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引用统计 |
被引频次[WOS]:3
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成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/788865 |
专题 | 南方科技大学第一附属医院 |
作者单位 | 1.Southern Med Univ, Nanfang Hosp, Sch Clin Med 1, Dept Gen Surg,Guangdong Prov Key Lab Precis Med Ga, Guangzhou, Peoples R China 2.Chongqing Univ, Canc Hosp, Key Lab Biorheol Sci & Technol, Minist Educ, Chongqing, Peoples R China 3.Chongqing Canc Inst, Chongqing, Peoples R China 4.Chongqing Canc Hosp, Chongqing, Peoples R China 5.Sun Yat Sen Univ, Dept Radiol, Canc Ctr, Guangzhou, Peoples R China 6.Jimei Univ, Sch Sci, Xiamen, Peoples R China 7.Southern Univ Sci & Technol, Jinan Univ, Shenzhen Peoples Hosp, Dept Gastrointestinal Surg,Clin Med Coll 2,Affilia, Shenzhen, Peoples R China 8.Southern Med Univ, Nanfang Hosp, Sch Clin Med 1, Dept Gen Surg,Guangdong Prov Key Lab Precis Med Ga, Guangzhou 510515, Guangdong, Peoples R China 9.Jimei Univ, Sch Sci, Xiamen 361021, Fujian, Peoples R China |
通讯作者单位 | 南方科技大学第一附属医院 |
推荐引用方式 GB/T 7714 |
Yu, Xian,Jiang, Wei,Dong, Xiaoyu,et al. Nomograms integrating the collagen signature and systemic immune-inflammation index for predicting prognosis in rectal cancer patients[J]. BJS OPEN,2024,8(2).
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APA |
Yu, Xian.,Jiang, Wei.,Dong, Xiaoyu.,Yan, Botao.,Xu, Shuoyu.,...&Yan, Jun.(2024).Nomograms integrating the collagen signature and systemic immune-inflammation index for predicting prognosis in rectal cancer patients.BJS OPEN,8(2).
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MLA |
Yu, Xian,et al."Nomograms integrating the collagen signature and systemic immune-inflammation index for predicting prognosis in rectal cancer patients".BJS OPEN 8.2(2024).
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