Abstract

Background

Local treatment remains the best option for recurrent colorectal liver metastasis (CRLM). The current study aimed to investigate predictive factors of survival outcomes and select candidates for local treatment for CRLM at first recurrence.

Methods

Data were collected retrospectively from CRLM patients who underwent hepatic resection and developed first recurrence between 2000 and 2019 at our institution.
A nomogram predicting overall survival was established based on a multivariable Cox model of clinicopathologic factors. The predictive accuracy and discriminative ability of the nomogram were determined by the concordance index and calibration curve.

Results

Among 867 patients who underwent curative hepatic resection, 549 patients developed recurrence. Three hundred patients were evaluated and had resectable and liver-limited disease. Among them, repeat liver resection and percutaneous radiofrequency ablation were performed in 88 and 85 patients, respectively. The other 127 patients received only systemic chemotherapy. Multivariable analysis identified primary lymph node positivity, tumor size > 3 cm, early recurrence, RAS gene mutation and no local treatment as independent risk factors for survival outcomes. Integrating these five variables, the nomogram presented a good concordance index of 0.707. Compared with patients who received only systemic chemotherapy, radical local treatment did not significantly improve survival outcomes (median OS: 21 vs. 15 months, p = 0.126) in the high-risk group (total score ≥ 13).

Conclusion

Radical local treatment improved the survival of recurrent CRLM patients. The proposed model facilitates personalized assessments of prognosis for patients who develop first recurrence in the liver.

Details

Title
Recurrent colorectal liver metastasis patients could benefit from repeat hepatic resection
Author
Liu, Wei; Jia-Ming, Liu; Wang, Kun; Hong-Wei, Wang; Bao-Cai Xing  VIAFID ORCID Logo 
Pages
1-10
Section
Research article
Publication year
2021
Publication date
2021
Publisher
BioMed Central
e-ISSN
14712482
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2562370573
Copyright
© 2021. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.