Prognostic model to predict survival outcome for curatively resected liposarcoma: A multi-institutional experience

Yoon Jung Oh, Seong Yoon Yi, Ki Hyang Kim, Yong Jin Cho, Seung Hoon Beum, Young Han Lee, Jin Suck Suh, Hyuk Hur, Kyung Sik Kim, Sung Hoon Kim, Young Deuk Choi, Kyoo Ho Shin, Hyun Jung Jun, Sung Joo Kim, Jeeyun Lee, Se Hoon Park, Sung Hoon Noh, Sun Young Rha, Hyo Song Kim

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15 Citations (Scopus)

Abstract

Purpose: We performed this study to analyze the clinical features and prognosis of Korean patients with liposarcoma. Patients & Methods: Between October 1986 and April 2013, 231 patients who were diagnosed with liposarcoma by histologic examination were enrolled in this study. Results: The distribution of histologic subtypes was well-differentiated (n = 97, 42%), myxoid (n = 74, 32%), dedifferentiated (n = 32, 13.9%), pleomorphic (n = 15, 6.5%), and round-cell liposarcoma (n = 13, 5.6%). The majority of liposarcomas were located in the lower extremities (35.5%) and retroperitoneum (34.2%). Prognosis was worse for the trunk group compared with the extremity group (median disease-free survival [DFS] 3.3 vs. 9.9 years, respectively, P <0.001). Median DFS was significantly worse in patients with high grade histology compared to those with low grade histology (16.9% vs. 65.7%, P <0.001). The independent prognostic factors associated with survival were histology (hazard ratio [HR] 3.01; 95% confidence interval [CI], 1.82-4.97; P <0.001) and primary site (HR 1.80; 95% CI, 1.12-2.89; P = 0.015). Three risk groups with different survival outcomes were identified: group 1 (n = 98), no risk factors; group 2 (n = 92), one risk factor; and group 3 (n = 41), two risk factors. Conclusions: Histologic subtype and primary site were independent prognostic factors for curatively resected liposarcoma. A prognostic model for patients with liposarcoma clarified distinct groups of patients with good prognostic discrimination.

Original languageEnglish
Pages (from-to)1174-1180
Number of pages7
JournalJournal of Cancer
Volume7
Issue number9
DOIs
Publication statusPublished - 2016

All Science Journal Classification (ASJC) codes

  • Oncology

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    Oh, Y. J., Yi, S. Y., Kim, K. H., Cho, Y. J., Beum, S. H., Lee, Y. H., Suh, J. S., Hur, H., Kim, K. S., Kim, S. H., Choi, Y. D., Shin, K. H., Jun, H. J., Kim, S. J., Lee, J., Park, S. H., Noh, S. H., Rha, S. Y., & Kim, H. S. (2016). Prognostic model to predict survival outcome for curatively resected liposarcoma: A multi-institutional experience. Journal of Cancer, 7(9), 1174-1180. https://doi.org/10.7150/jca.15243