Single-Cell Phosphoproteomics Resolves Adaptive Signaling Dynamics and Informs Targeted Combination Therapy in Glioblastoma

Publication date: 11 April 2016
Source:Cancer Cell, Volume 29, Issue 4
Author(s): Wei Wei, Young Shik Shin, Min Xue, Tomoo Matsutani, Kenta Masui, Huijun Yang, Shiro Ikegami, Yuchao Gu, Ken Herrmann, Dazy Johnson, Xiangming Ding, Kiwook Hwang, Jungwoo Kim, Jian Zhou, Yapeng Su, Xinmin Li, Bruno Bonetti, Rajesh Chopra, C. David James, Webster K. Cavenee, Timothy F. Cloughesy, Paul S. Mischel, James R. Heath, Beatrice Gini
Intratumoral heterogeneity of signaling networks may contribute to targeted cancer therapy resistance, including in the highly lethal brain cancer glioblastoma (GBM). We performed single-cell phosphoproteomics on a patient-derived in vivo GBM model of mTOR kinase inhibitor resistance and coupled it to an analytical approach for detecting changes in signaling coordination. Alterations in the protein signaling coordination were resolved as early as 2.5 days after treatment, anticipating drug resistance long before it was clinically manifest. Combination therapies were identified that resulted in complete and sustained tumor suppression in vivo. This approach may identify actionable alterations in signal coordination that underlie adaptive resistance, which can be suppressed through combination drug therapy, including non-obvious drug combinations.

Graphical abstract

Teaser

Wei et al. utilize single-cell phosphoproteomic analysis of patient-derived glioblastoma models to identify shifts in signaling coordination following short-term treatment with kinase inhibitors, which facilitates the design of combination therapy approaches with reduced resistance and improved efficacy.


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