Chuan Liu1,2,3, Chuan Hu4, Jiale Huang1,2,3, Kanghui Xiang1,2,3, Zhi Li1,2,3, Jinglei Qu1,2,3, Ying Chen1,2,3, Bowen Yang1,2,3, Xiujuan Qu1,2,3, Yunpeng Liu1,2,3, Guangwei Zhang5, Ti Wen1,2,3. 1. Department of Medical Oncology, The First Hospital of China Medical University, Shenyang, China. 2. Key Laboratory of Anticancer Drugs and Biotherapy of Liaoning Province, The First Hospital of China Medical University, Shenyang, China. 3. Liaoning Province Clinical Research Center for Cancer, Shenyang, China. 4. Medical College, Qingdao University, Qingdao, China. 5. Smart Hospital Management Department, The First Hospital of China Medical University, Shenyang, China.
Abstract
BACKGROUND: Among colon cancer patients, liver metastasis is a commonly deadly phenomenon, but there are few prognostic models for these patients. METHODS: The clinicopathologic data of colon cancer with liver metastasis (CCLM) patients were downloaded from the Surveillance, Epidemiology and End Results (SEER) database. All patients were randomly divided into training and internal validation sets based on the ratio of 7:3. A prognostic nomogram was established with Cox analysis in the training set, which was validated by two independent validation sets. RESULTS: A total of 5,700 CCLM patients were included. Age, race, tumor size, tumor site, histological type, grade, AJCC N status, carcinoembryonic antigen (CEA), lung metastasis, bone metastasis, surgery, and chemotherapy were independently associated with the overall survival (OS) of CCLM in the training set, which were used to establish a nomogram. The AUCs of 1-, 2- and 3-year were higher than or equal to 0.700 in the training, internal validation, and external validation sets, indicating the favorable effects of our nomogram. Besides, whether in overall or subgroup analysis, the risk score calculated by this nomogram can divide CCLM patients into high-, middle- and low-risk groups, which suggested that the nomogram can significantly determine patients with different prognosis and is suitable for different patients. CONCLUSION: Higher age, the race of black, larger tumor size, higher grade, histological type of mucinous adenocarcinoma and signet ring cell carcinoma, higher N stage, RCC, lung metastasis, bone metastasis, without surgery, without chemotherapy, and elevated CEA were independently associated with poor prognosis of CCLM patients. A nomogram incorporating the above variables could accurately predict the prognosis of CCLM.
BACKGROUND: Among colon cancer patients, liver metastasis is a commonly deadly phenomenon, but there are few prognostic models for these patients. METHODS: The clinicopathologic data of colon cancer with liver metastasis (CCLM) patients were downloaded from the Surveillance, Epidemiology and End Results (SEER) database. All patients were randomly divided into training and internal validation sets based on the ratio of 7:3. A prognostic nomogram was established with Cox analysis in the training set, which was validated by two independent validation sets. RESULTS: A total of 5,700 CCLM patients were included. Age, race, tumor size, tumor site, histological type, grade, AJCC N status, carcinoembryonic antigen (CEA), lung metastasis, bone metastasis, surgery, and chemotherapy were independently associated with the overall survival (OS) of CCLM in the training set, which were used to establish a nomogram. The AUCs of 1-, 2- and 3-year were higher than or equal to 0.700 in the training, internal validation, and external validation sets, indicating the favorable effects of our nomogram. Besides, whether in overall or subgroup analysis, the risk score calculated by this nomogram can divide CCLM patients into high-, middle- and low-risk groups, which suggested that the nomogram can significantly determine patients with different prognosis and is suitable for different patients. CONCLUSION: Higher age, the race of black, larger tumor size, higher grade, histological type of mucinous adenocarcinoma and signet ring cell carcinoma, higher N stage, RCC, lung metastasis, bone metastasis, without surgery, without chemotherapy, and elevated CEA were independently associated with poor prognosis of CCLM patients. A nomogram incorporating the above variables could accurately predict the prognosis of CCLM.
Authors: Rebecca L Siegel; Kimberly D Miller; Stacey A Fedewa; Dennis J Ahnen; Reinier G S Meester; Afsaneh Barzi; Ahmedin Jemal Journal: CA Cancer J Clin Date: 2017-03-01 Impact factor: 508.702
Authors: Xin Wang; Min Mao; Guijun Xu; Feng Lin; Peng Sun; Vladimir P Baklaushev; Vladimir P Chekhonin; Karl Peltzer; Jin Zhang; Chao Zhang Journal: Int J Colorectal Dis Date: 2019-05-15 Impact factor: 2.571
Authors: E Van Cutsem; A Cervantes; R Adam; A Sobrero; J H Van Krieken; D Aderka; E Aranda Aguilar; A Bardelli; A Benson; G Bodoky; F Ciardiello; A D'Hoore; E Diaz-Rubio; J-Y Douillard; M Ducreux; A Falcone; A Grothey; T Gruenberger; K Haustermans; V Heinemann; P Hoff; C-H Köhne; R Labianca; P Laurent-Puig; B Ma; T Maughan; K Muro; N Normanno; P Österlund; W J G Oyen; D Papamichael; G Pentheroudakis; P Pfeiffer; T J Price; C Punt; J Ricke; A Roth; R Salazar; W Scheithauer; H J Schmoll; J Tabernero; J Taïeb; S Tejpar; H Wasan; T Yoshino; A Zaanan; D Arnold Journal: Ann Oncol Date: 2016-07-05 Impact factor: 32.976
Authors: Robert P Jones; Norihiro Kokudo; Gunnar Folprecht; Yoshihiro Mise; Michiaki Unno; Hassan Z Malik; Stephen W Fenwick; Graeme J Poston Journal: Liver Cancer Date: 2016-11-29 Impact factor: 11.740