Xueliang Ding1,2, Shaobo Tian1,3, Jia Hu1, Guobin Wang3, Xiangnan Yu1,3, Daan Fu1,3, Ye Yuan1,3, Lin Wang4,5, Zheng Wang6,7. 1. Research Center for Tissue Engineering and Regenerative Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. 2. Department of Clinical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. 3. Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. 4. Research Center for Tissue Engineering and Regenerative Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. lin_wang@hust.edu.cn. 5. Department of Clinical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. lin_wang@hust.edu.cn. 6. Research Center for Tissue Engineering and Regenerative Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. zhengwang@hust.edu.cn. 7. Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. zhengwang@hust.edu.cn.
Abstract
PURPOSE: Liver metastasis (LM) significantly shortens the survival time of colorectal neuroendocrine neoplasms (NENs) patients. This research aimed to explore risk and prognostic factors in colorectal NENs patients with LM and develop nomograms for predicting the risk of LM and survival probability quantitatively. METHODS: A total of 9926 colorectal NENs patients registered in the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2017 were included. Risk factors for LM in colorectal NENs patients were identified by multivariate logistic regression analysis. Potential prognostic factors for colorectal NENs patients with LM were identified by multivariable Cox regression analysis. Nomograms were constructed for quantifying the probability of LM occurrence and survival. RESULTS: At diagnosis, 8.7% of colorectal NENs patients suffered LM, with 1-, 3-, and 5-year cancer-specific survival (CSS) rates of 44.3%, 26.5%, and 18.0%, respectively. Factors associated with LM occurrence included gender, age at diagnosis, primary tumor location, carcinoembryonic antigen (CEA), histological differentiation, T stage, and N stage. Age at diagnosis, race, histological differentiation, N stage, tumor size, primary tumor location, primary site surgery, and extraliver metastasis were prognostic factors of cancer-specific mortality. The area under the receiver operating characteristics (ROC) curve of the nomogram for predicting LM was 0.888 (95% CI: 0.877-0.898), and the C-index of the nomogram for estimating CSS probability was 0.705 (95% CI: 0.682-0.729). CONCLUSIONS: This research identified the risk and prognostic factors in colorectal NENs patients with LM. The nomograms constructed by this study can be convenient tools for facilitating clinical decision-making.
PURPOSE:Liver metastasis (LM) significantly shortens the survival time of colorectal neuroendocrine neoplasms (NENs) patients. This research aimed to explore risk and prognostic factors in colorectal NENspatients with LM and develop nomograms for predicting the risk of LM and survival probability quantitatively. METHODS: A total of 9926 colorectal NENspatients registered in the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2017 were included. Risk factors for LM in colorectal NENspatients were identified by multivariate logistic regression analysis. Potential prognostic factors for colorectal NENspatients with LM were identified by multivariable Cox regression analysis. Nomograms were constructed for quantifying the probability of LM occurrence and survival. RESULTS: At diagnosis, 8.7% of colorectal NENspatients suffered LM, with 1-, 3-, and 5-year cancer-specific survival (CSS) rates of 44.3%, 26.5%, and 18.0%, respectively. Factors associated with LM occurrence included gender, age at diagnosis, primary tumor location, carcinoembryonic antigen (CEA), histological differentiation, T stage, and N stage. Age at diagnosis, race, histological differentiation, N stage, tumor size, primary tumor location, primary site surgery, and extraliver metastasis were prognostic factors of cancer-specific mortality. The area under the receiver operating characteristics (ROC) curve of the nomogram for predicting LM was 0.888 (95% CI: 0.877-0.898), and the C-index of the nomogram for estimating CSS probability was 0.705 (95% CI: 0.682-0.729). CONCLUSIONS: This research identified the risk and prognostic factors in colorectal NENspatients with LM. The nomograms constructed by this study can be convenient tools for facilitating clinical decision-making.
Authors: J K Ramage; W W De Herder; G Delle Fave; P Ferolla; D Ferone; T Ito; P Ruszniewski; A Sundin; W Weber; Z Zheng-Pei; B Taal; A Pascher Journal: Neuroendocrinology Date: 2016-01-05 Impact factor: 4.914
Authors: Kristie A Blum; Frank G Keller; Sharon Castellino; Anh Phan; Christopher R Flowers Journal: Br J Haematol Date: 2018-08-10 Impact factor: 6.998
Authors: Teresa Starzyńska; Magdalena Londzin-Olesik; Agata Bałdys-Waligórska; Tomasz Bednarczuk; Jolanta Blicharz-Dorniak; Marek Bolanowski; Agnieszka Boratyn-Nowicka; Małgorzata Borowska; Andrzej Cichocki; Jarosław B Ćwikła; Andrzej Deptała; Massimo Falconi; Wanda Foltyn; Daria Handkiewicz-Junak; Alicja Hubalewska-Dydejczyk; Barbara Jarząb; Roman Junik; Dariusz Kajdaniuk; Grzegorz Kamiński; Agnieszka Kolasińska-Ćwikła; Aldona Kowalska; Robert Król; Leszek Królicki; Jolanta Kunikowska; Katarzyna Kuśnierz; Paweł Lampe; Dariusz Lange; Anna Lewczuk-Myślicka; Andrzej Lewiński; Michał Lipiński; Bogdan Marek; Anna Nasierowska-Guttmejer; Ewa Nowakowska-Duława; Joanna Pilch-Kowalczyk; Piotr Remiszewski; Violetta Rosiek; Marek Ruchała; Lucyna Siemińska; Anna Sowa-Staszczak; Katarzyna Steinhof-Radwańska; Janusz Strzelczyk; Krzysztof Sworczak; Anhelli Syrenicz; Andrzej Szawłowski; Marek Szczepkowski; Ewa Wachuła; Wojciech Zajęcki; Anna Zemczak; Wojciech Zgliczyński; Beata Kos-Kudła Journal: Endokrynol Pol Date: 2017 Impact factor: 1.582
Authors: Lei Huang; Lina Jansen; Yesilda Balavarca; Esther Molina-Montes; Masoud Babaei; Lydia van der Geest; Valery Lemmens; Liesbet Van Eycken; Harlinde De Schutter; Tom B Johannesen; Claus W Fristrup; Michael B Mortensen; Maja Primic-Žakelj; Vesna Zadnik; Nikolaus Becker; Thilo Hackert; Margit Mägi; Tiziana Cassetti; Romano Sassatelli; Robert Grützmann; Susanne Merkel; Ana F Gonçalves; Maria J Bento; Péter Hegyi; Gábor Lakatos; Andrea Szentesi; Michel Moreau; Tony van de Velde; Annegien Broeks; Milena Sant; Pamela Minicozzi; Vincenzo Mazzaferro; Francisco X Real; Alfredo Carrato; Xavier Molero; Marc G Besselink; Núria Malats; Markus W Büchler; Petra Schrotz-King; Hermann Brenner Journal: Gut Date: 2017-11-20 Impact factor: 23.059
Authors: P E Bernick; D S Klimstra; J Shia; B Minsky; L Saltz; W Shi; H Thaler; J Guillem; P Paty; A M Cohen; W D Wong Journal: Dis Colon Rectum Date: 2004-02 Impact factor: 4.585
Authors: Arvind Dasari; Chan Shen; Daniel Halperin; Bo Zhao; Shouhao Zhou; Ying Xu; Tina Shih; James C Yao Journal: JAMA Oncol Date: 2017-10-01 Impact factor: 31.777