Pathologic-Based Nomograms for Predicting Overall Survival and Disease-Free Survival Among Patients with Locally Advanced Rectal Cancer

Autor: Xiaolin Pang, Shuai Liu, Yan Ma, Xinjuan Fan, Ying Guan, Jian Zheng, Fang He, Zhenhui Li, Teng-Hui Ma, Huai-Qiang Ju, Xiang-Bo Wan
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Cancer Management and Research
ISSN: 1179-1322
Popis: Shuai Liu,1,* Fang He,1,* Ying Guan,2,* Huai-Qiang Ju,3,* Yan Ma,1 Zhen-Hui Li,4 Xin-Juan Fan,5 Xiang-Bo Wan,1 Jian Zheng,1 Xiao-Lin Pang,1 Teng-Hui Ma6 1Department of Radiation Oncology, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangzhou, 510655, People’s Republic of China; 2Department of Radiation Oncology, Affiliated Tumor Hospital of Guangxi Medical University, Cancer Institute of Guangxi Zhuang Autonomous Region, Nanning, 530000, People’s Republic of China; 3Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, 510030, People’s Republic of China; 4Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, 650118, People’s Republic of China; 5Department of Pathology, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangzhou, 510655, People’s Republic of China; 6Department of Colorectal Surgery, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, Guangzhou, 510655, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xiao-Lin PangDepartment of Radiation Oncology, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangzhou, 510655, People’s Republic of ChinaTel/Fax + 86-02087343373Email pangxl5@mail.sysu.edu.cnTeng-Hui MaDepartment of Colorectal Surgery, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, Guangzhou, 510655, People’s Republic of ChinaEmail matengh@mail.sysu.edu.cnPurpose: Preoperative neoadjuvant therapy is standard before surgery for locally advanced rectal cancer in current clinical treatment. However, patients with the same clinical TNM stage before treatment vary in clinical outcomes. More and more studies noted that pathological findings after preoperative neoadjuvant therapy are better prognostic factors to determine prognosis than clinical TNM stage in patients with locally advanced rectal cancer. The purpose of this study is to develop and validate models based on pathological findings to predict overall survival (OS) and disease-free survival (DFS).Patients and Methods: A total of 3026 patients from two hospitals were included. The endpoint was OS and DFS. Significant predictors of OS on multivariate analysis were used to establish the nomogram.Results: The Harrell’s C index for OS prediction was 0.72 (95% confidence interval [CI], 0.68 to 0.77) in the training cohort, 0.66 (95% CI, 0.60 to 0.72) and 0.68 (95% CI, 0.64 to 0.73) in the internal and external validation cohorts. Using this nomogram, high- and low-risk groups for OS were defined in the training cohort. The 3-year OS was 78.1% (95% CI: 72.4– 84.2%) for the high-risk group and 95% (95% CI: 93.6– 96.5%) in the low-risk group (HR: 4.42, 95% CI: 3.22– 6.05; P< 0.001). This finding was also applied in the two external cohorts. Similarly, a nomogram that contained the same indices was developed and validated to predict for DFS.Conclusion: Nomograms based on pathological findings are a reliable tool to predict 3-year OS and DFS rate in patients with locally advanced rectal cancer.Keywords: locally advanced rectal cancer, nomogram, pathological findings, overall survival, disease-free survival
Databáze: OpenAIRE
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