Modeling anti-IL-6 therapy using breast cancer patient-derived xenografts

Author

Morancho, Beatriz

Zacarías Fluck, Mariano

Esgueva, Antonio

Bernardó Morales, Cristina

Di Cosimo, Serena

Prat Aparicio, Aleix

Cortés, Javier

Arribas, Joaquín V. (Vicente)

Rubio, Isabel T.

Publication date

2017-09-12T15:43:20Z

2017-09-12T15:43:20Z

2016-09-01

2017-09-12T15:43:20Z

Abstract

The pleiotropic cytokine IL-6 accelerates the progression of breast cancer in a variety of preclinical models through the activation of the STAT3 (signal transducer and activator of transcription 3) signaling pathway. However, the proportion of breast cancers sensitive to anti-IL-6 therapies is not known. This study evaluates the efficacy of anti-IL-6 therapies using breast cancer patient derived xenografts (PDXs). During the generation of our collection of PDXs, we showed that the successful engraftment of tumor tissue in immunodeficient mice correlates with bad prognosis. Four PDXs out of six were resistant to anti-IL-6 therapies and the expression of IL-6, its receptor or the levels of phospho-STAT3 (the active form of the signal transducer) did not correlate with sensitivity. Using cell cultures established from the PDXs as well as samples from in vivo treatments, we showed that only tumors in which the activation of STAT3 depends on IL-6 respond to the blocking antibodies. Our results indicate that only a fraction of breast tumors are responsive to anti-IL-6 therapies. In order to identify responsive tumors, a functional assay to determine the dependence of STAT3 activation on IL-6 should be performed.

Document Type

Article
Published version

Language

English

Subjects and keywords

Càncer de mama; Oncologia; Trasplantament d'òrgans; Breast cancer; Oncology; Transplantation of organs

Publisher

Impact Journals

Related items

Reproducció del document publicat a: https://doi.org/10.18632/oncotarget.11815

Oncotarget, 2016, vol. 2016, num. 7, p. 67956-67965

https://doi.org/10.18632/oncotarget.11815

Rights

cc-by (c) Morancho, Beatriz et al., 2016

http://creativecommons.org/licenses/by/3.0/es