Cited by 38Sarcoma Diagnosis and TreatmentCancer Cells and MetastasisLung Cancer Treatments and Mutations

Identifying States of Collateral Sensitivity during the Evolution of Therapeutic Resistance in Ewing's Sarcoma

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Scarborough, Jessica A., McClure, Erin, Anderson, Peter, Dhawan, Andrew, Durmaz, Arda, Lessnick, Stephen L., Hitomi, Masahiro, Scott, Jacob G.·2020·iScience

Published version of a preprint

Abstract

Advances in the treatment of Ewing's sarcoma (EWS) are desperately needed, particularly in the case of metastatic disease. A deeper understanding of collateral sensitivity, where the evolution of therapeutic resistance to one drug aligns with sensitivity to another drug, may improve our ability to effectively target this disease. For the first time in a solid tumor, we produced a temporal collateral sensitivity map that demonstrates the evolution of collateral sensitivity and resistance in EWS. We found that the evolution of collateral resistance was predictable with some drugs but had significant variation in response to other drugs. Using this map of temporal collateral sensitivity in EWS, we can see that the path toward collateral sensitivity is not always repeatable, nor is there always a clear trajectory toward resistance or sensitivity. Identifying transcriptomic changes that accompany these states of transient collateral sensitivity could improve treatment planning for patients with EWS.

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  • A variety of evolutionary trajectories can lead to the same phenotype.

    “As seen in experimental and natural evolution, a variety of evolutionary trajectories can lead to the same phenotype11–14.”

    From Exploiting convergent phenotypes to derive a pan-cancer cisplatin response gene expression signature (2023) · cites this paper as [12]

    The Results (‘Surveying the Stochasticity of Evolution’; page unavailable) report that experimental replicates consistently acquired resistance to some drugs while diverging in their responses to others. This is consistent with different evolutionary outcomes accompanying a shared resistance phenotype, but the paper does not establish that distinct trajectories produced that same phenotype in natural evolution. (LLM, conf=0.78)

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Authors
Scarborough, J. A., McClure, E., Anderson, P., Dhawan, A., Durmaz, A., Lessnick, S. L., Hitomi, M., & Scott, J. G.
Affiliations
  • Cleveland Clinic (US)
  • Nationwide Children's Hospital (US)
Corresponding author
Scott, Jacob G.
Venue
iScience
Publisher
Elsevier BV
Published
2020-07
Volume
23
Issue
7
Pages
101293
ISSN
2589-0042 (ISSN-L)
OpenAlex
W3036606715
Cited by
38
References
1
Citations by year
2026: 4 · 2025: 3 · 2024: 12 · 2023: 6 · 2022: 9 · 2021: 3 · 2020: 1
FWCI
2.68
Type
journal article
Language
en
Open access
Locations
  • iScience (publishedVersion, cc-by-nc-nd)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
National Institutes of Health (T32GM007250, K12CA076917)
Topics
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Sarcoma Diagnosis and Treatment
  • Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Treatments and Mutations
Keywords
Ewing sarcoma, collateral sensitivity, treatment resistance, drug resistance evolution, metastatic sarcoma, transcriptomic changes, treatment planning

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