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Metastasis directed therapy for liver and lung metastases from colorectal cancer—A population‐based study
Author(s) -
Boysen Anders Kindberg,
Spindler KarenLise,
Høyer Morten,
Mortensen Frank Viborg,
Christensen Thomas Decker,
Farkas Dóra Kormendine,
Ording Anne Gulbech
Publication year - 2018
Publication title -
international journal of cancer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.475
H-Index - 234
eISSN - 1097-0215
pISSN - 0020-7136
DOI - 10.1002/ijc.31626
Subject(s) - medicine , interquartile range , colorectal cancer , oncology , proportional hazards model , metastasis , hazard ratio , cancer registry , population , cancer , radiation therapy , multivariate analysis , confidence interval , environmental health
About 10–20% of patients with metastatic colorectal cancer (mCRC) are candidates for metastasis directed therapies such as surgical resection, ablation and stereotactic radiotherapy. We examined the temporal changes in use of metastasis directed therapies and established prognostic factors for survival in a nationwide cohort study. The Danish nationwide medical registries were used to retrieve data on treatment for liver and/or lung metastasis in patients with metastatic colorectal cancer in the period 2000–2013. Overall survival through 2014 was calculated from the time of treatment of metastases by Kaplan–Meier method and mortality between groups was assessed using Cox regression. We report 2,912 patients undergoing a total of 3,602 procedures with an increased use of all modalities during 14 calendar years. Median survival was 3.7 years (interquartile range (IQR) 2.0–9.7 years). In the multivariate analysis, the nodal stage of the primary tumor had the most pronounced association with survival with a hazard ratio for mortality of 1.56 (95% CI: 1.33–1.83) for N2 stage with reference to N0. Furthermore, female gender, age, comorbidity, surgical treatment, administration of chemotherapy, and left‐sided primary tumors were associated with improved prognosis in the multivariate analysis.