Literature DB >> 11044640

A clinical nomogram for predicting long-term survival in advanced colorectal cancer.

C Massacesi1, A Norman, T Price, M Hill, P Ross, D Cunningham.   

Abstract

From our prospectively accrued database of patients with gastrointestinal cancer, 1057 patients with advanced colorectal cancer were identified with the aim of determining predictive factors for survival of greater than 2 years and to use this information to develop a predictive nomogram. Patient's baseline characteristics, type and number of chemotherapy regimens received, and response to chemotherapy were assessed by univariate and multivariate logistic regression comparing those who survived greater than or less than 2 years. A total of 161 (15.2%) patients survived more than 2 years, so-called long survivors (LS). In multivariate analysis, positive predictive factors for LS were: good performance status (PS), normal serum carcinoembryonic antigen (CEA), rectal primary, Dukes' stage A-B, well or moderate differentiation, two or less disease sites, response to chemotherapy and treatment used protracted venous infusion (PVI) 5-fluorouracil (5-FU) in first-line chemotherapy, and the increasing number of chemotherapy treatments received. From these PS, CEA, number of sites and response to first-line chemotherapy were used to develop a nomogram capable of predicting the probability of survival beyond 2 years for an individual patient. This large study confirmed the relevance of known prognostic factors in metastatic colorectal cancer and demonstrated the importance of response to chemotherapy as an independent factor to predict LS. By combining these, we developed a nomogram which provides information which is likely to prove useful in the management of patients with advanced colorectal cancer.

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Year:  2000        PMID: 11044640     DOI: 10.1016/s0959-8049(00)00286-0

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  15 in total

Review 1.  Systematic review of prognostic factors related to overall survival in patients with stage IV colorectal cancer and unresectable metastases.

Authors:  Andrew P Stillwell; Yik-Hong Ho; Craig Veitch
Journal:  World J Surg       Date:  2011-03       Impact factor: 3.352

2.  Predicting Overall Survival in Patients with Metastatic Rectal Cancer: a Machine Learning Approach.

Authors:  Beiqun Zhao; Rodney A Gabriel; Florin Vaida; Nicole E Lopez; Samuel Eisenstein; Bryan M Clary
Journal:  J Gastrointest Surg       Date:  2019-08-29       Impact factor: 3.452

Review 3.  Prognostic factors in patients with recently diagnosed incurable cancer: a systematic review.

Authors:  Catherine A Hauser; Martin R Stockler; Martin H N Tattersall
Journal:  Support Care Cancer       Date:  2006-05-18       Impact factor: 3.603

4.  Prognostic factors in 165 elderly colorectal cancer patients.

Authors:  Ke-Jun Nan; Hai-Xia Qin; Guang Yang
Journal:  World J Gastroenterol       Date:  2003-10       Impact factor: 5.742

5.  Validation of a prognostic nomogram in patients undergoing resection for pancreatic ductal adenocarcinoma in a UK tertiary referral centre.

Authors:  E J Clark; M A Taylor; S Connor; R O'Neill; M F Brennan; O J Garden; R W Parks
Journal:  HPB (Oxford)       Date:  2008       Impact factor: 3.647

Review 6.  Irinotecan as palliative chemotherapy for metastatic colorectal cancer: evolving tactics following initial treatment.

Authors:  Emmanuel Mitry; Astrid Lièvre; Jean-Baptiste Bachet; Philippe Rougier
Journal:  Int J Colorectal Dis       Date:  2009-02-17       Impact factor: 2.571

Review 7.  Long-term survivors of metastatic colorectal cancer treated with systemic chemotherapy alone: a North Central Cancer Treatment Group review of 3811 patients, N0144.

Authors:  Grace K Dy; Timothy J Hobday; Garth Nelson; Harold E Windschitl; Michael J O'Connell; Steven R Alberts; Richard M Goldberg; Daniel A Nikcevich; Daniel J Sargent
Journal:  Clin Colorectal Cancer       Date:  2009-04       Impact factor: 4.481

Review 8.  Personalizing prognosis in colorectal cancer: A systematic review of the quality and nature of clinical prognostic tools for survival outcomes.

Authors:  Alyson L Mahar; Carolyn Compton; Susan Halabi; Kenneth R Hess; Martin R Weiser; Patti A Groome
Journal:  J Surg Oncol       Date:  2017-08-02       Impact factor: 3.454

9.  Nomograms for colorectal cancer: A systematic review.

Authors:  Kazushige Kawai; Eiji Sunami; Hironori Yamaguchi; Soichiro Ishihara; Shinsuke Kazama; Hiroaki Nozawa; Keisuke Hata; Tomomichi Kiyomatsu; Junichiro Tanaka; Toshiaki Tanaka; Takeshi Nishikawa; Joji Kitayama; Toshiaki Watanabe
Journal:  World J Gastroenterol       Date:  2015-11-07       Impact factor: 5.742

10.  Using machine learning to construct nomograms for patients with metastatic colon cancer.

Authors:  B Zhao; R A Gabriel; F Vaida; S Eisenstein; G T Schnickel; J K Sicklick; B M Clary
Journal:  Colorectal Dis       Date:  2020-02-16       Impact factor: 3.788

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