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The diagnostic and prognostic value of interleukin-6 in patients with soft tissue sarcomas

The presence of systemic inflammation has been reported to be associated with poor prognosis in patients with soft tissue sarcoma (STS). The cytokine interleukin-6 (IL-6) has pleiotropic effects on various cell types in the tumor microenvironment. The aim of the present study was to determine whethe...

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Detalles Bibliográficos
Autores principales: Hagi, Tomohito, Nakamura, Tomoki, Iino, Takahiro, Matsubara, Takao, Asanuma, Kunihiro, Matsumine, Akihiko, Sudo, Akihiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5575335/
https://www.ncbi.nlm.nih.gov/pubmed/28851899
http://dx.doi.org/10.1038/s41598-017-08781-6
Descripción
Sumario:The presence of systemic inflammation has been reported to be associated with poor prognosis in patients with soft tissue sarcoma (STS). The cytokine interleukin-6 (IL-6) has pleiotropic effects on various cell types in the tumor microenvironment. The aim of the present study was to determine whether serum IL-6 levels could be useful to assume the differentiation of benign soft tissue tumors from STS and to investigate the possible value of IL-6 for survival and oncological events in patients with STS. The medical records of 99 patients who underwent surgical resection were retrospectively reviewed. Serum IL-6 levels (median: 9.04 pg/ml) in patients with STS were statistically higher than those (3.31 pg/ml) in patients with benign soft tissue tumors. Our analyses confirmed that tumor size and IL-6 level were significant predictors of STS diagnosis. Next, we examined the relationship between IL-6 levels and survival in the 59 patients with STS. C-reactive protein levels, hemoglobin levels, and tumor grade were strongly correlated with IL-6 levels. Tumor grade and IL-6 level remained significant factors for survival and event-free survival. We suggest that measurement of IL-6 levels may be a useful method for identifying patients who are at a high risk of STS and tumor-related death.