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Clinical Research (Excluding Clinical Trials)

Abstract 6585: Systems biology for investigating drug resistance mechanism of melanoma

Yapeng Su, Guideng Li, Melissa Ko, Hanjun Cheng, Ronghui Zhu, Min Xue, Lidia Robert, Raphael Levine, Antoni Ribas, Garry Nolan, Wei Wei, Sylvia Plevritis, David Baltimore and James R. Heath
Yapeng Su
1California Institute of Technology, Pasadena, CA;
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Guideng Li
2SuZhou Institute of Systems Medicine, SuZhou, China;
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Melissa Ko
3Stanford University, CA;
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Hanjun Cheng
4Institute for Systems Biology, Seattle, WA;
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Ronghui Zhu
1California Institute of Technology, Pasadena, CA;
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Min Xue
1California Institute of Technology, Pasadena, CA;
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Lidia Robert
5UCLA, CA.
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Raphael Levine
5UCLA, CA.
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Antoni Ribas
5UCLA, CA.
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Garry Nolan
3Stanford University, CA;
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Wei Wei
4Institute for Systems Biology, Seattle, WA;
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Sylvia Plevritis
3Stanford University, CA;
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David Baltimore
1California Institute of Technology, Pasadena, CA;
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James R. Heath
4Institute for Systems Biology, Seattle, WA;
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DOI: 10.1158/1538-7445.AM2020-6585 Published August 2020
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Proceedings: AACR Annual Meeting 2020; April 27-28, 2020 and June 22-24, 2020; Philadelphia, PA

Abstract

Integrated proteomic and metabolic single-cell assays reveal multiple independent adaptive responses to drug tolerance in a BRAF-mutant melanoma cell line

Cancers commonly develop resistance against chemotherapeutics or targeted therapies through various types of genetic or non-genetic mechanisms. Non-genetic mechanisms have been shown to occur early on and can provide a latent reservoir of cells for the emergence of various different type of mechanisms, yet very limited understanding of process were resolve main from bulk analysis. Considering the heterogeneous nature of the tumor cells, a single-cell level characterization of the process worth detailed further investigation. Using MAPK inhibition of BRAF-mutant melanomas as a model system, we resolved that cells take different paths to go from drug-sensitive to drug-resistant state. Using a microfludic-based single-cell integrated proteomic and metabolic assay, we assayed for a panel of signaling, phenotypic, and metabolic regulators at four time points during the first five days of drug treatment. Dimensional reduction of the resultant data set, coupled with information theoretic analysis, uncovered a complex cell state landscape and identified two distinct paths connecting drug-naïve and drug-tolerant states. Cells are shown to exclusively traverse one of the two pathways depending on the level of the lineage restricted transcription factor MITF in the drug-naïve cells. The two trajectories are associated with distinct signaling and metabolic susceptibilities, and are independently druggable. Our results update the paradigm of adaptive resistance development in an isogenic cell population and offer insight into the design of more effective combination therapies.

Citation Format: Yapeng Su, Guideng Li, Melissa Ko, Hanjun Cheng, Ronghui Zhu, Min Xue, Lidia Robert, Raphael Levine, Antoni Ribas, Garry Nolan, Wei Wei, Sylvia Plevritis, David Baltimore, James R. Heath. Systems biology for investigating drug resistance mechanism of melanoma [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 6585.

  • ©2020 American Association for Cancer Research.
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Cancer Research: 80 (16 Supplement)
August 2020
Volume 80, Issue 16 Supplement
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Abstract 6585: Systems biology for investigating drug resistance mechanism of melanoma
Yapeng Su, Guideng Li, Melissa Ko, Hanjun Cheng, Ronghui Zhu, Min Xue, Lidia Robert, Raphael Levine, Antoni Ribas, Garry Nolan, Wei Wei, Sylvia Plevritis, David Baltimore and James R. Heath
Cancer Res August 15 2020 (80) (16 Supplement) 6585; DOI: 10.1158/1538-7445.AM2020-6585

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Abstract 6585: Systems biology for investigating drug resistance mechanism of melanoma
Yapeng Su, Guideng Li, Melissa Ko, Hanjun Cheng, Ronghui Zhu, Min Xue, Lidia Robert, Raphael Levine, Antoni Ribas, Garry Nolan, Wei Wei, Sylvia Plevritis, David Baltimore and James R. Heath
Cancer Res August 15 2020 (80) (16 Supplement) 6585; DOI: 10.1158/1538-7445.AM2020-6585
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