Karyotype evolution in response to chemoradiotherapy and upon recurrence of esophageal adenocarcinomas

The genome of esophageal adenocarcinoma (EAC) is highly unstable and might evolve over time. Here, we track karyotype evolution in EACs in response to treatment and upon recurrence through multi-region and longitudinal analysis. To this end, we introduce L-PAC (low-purity inference of absolute copy-number alterations [CNAs]), a bio-informatics technique that allows inference of absolute CNAs of low-purity samples by leveraging the information of high-purity samples from the same cancer. Quantitative analysis of matched absolute CNAs reveals that the amount of karyotype evolution induced by chemoradiotherapy (CRT) is predictive for early recurrence and depends on the initial level of karyotype intra-tumor heterogeneity. We observe that CNAs acquired in response to CRT are partially reversed back to the initial state upon recurrence. Hence, CRT alters the fitness landscape to which tumors can adjust by adapting their karyotype. Together, our results indicate that karyotype plasticity contributes to the therapy resistance of EACs.

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Publication Details

Journal
Cell Reports
Published
2024-11-01
DOI
https://doi.org/10.1016/j.celrep.2024.114981
Citations
1
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
0.29

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article

Karyotype evolution in response to chemoradiotherapy and upon recurrence of esophageal adenocarcinomas

Bauke Ylstra, Christian Rausch, Iris M. Seignette, Erik van Dijk et al.
1 citations
Cell Reports
Cancer Genomics and Diagnostics
0.29
article

Karyotype evolution in response to chemoradiotherapy and upon recurrence of esophageal adenocarcinomas

Bauke Ylstra, Christian Rausch, Iris M. Seignette, Erik van Dijk, Johanna Wilhelmina van Sandick, Annegien Broeks, Tom van den Bosch, Willem J. Koemans, Daniël M. Miedema, José G. van den Berg, Dennis Peters, Liudmila L. Kodach, Beatriz G. Carvalho, Karen van der Sluis, Nicole C.T. van Grieken, Pétur Snæbjörnsson
article en
1 citations

Abstract

The genome of esophageal adenocarcinoma (EAC) is highly unstable and might evolve over time. Here, we track karyotype evolution in EACs in response to treatment and upon recurrence through multi-region and longitudinal analysis. To this end, we introduce L-PAC (low-purity inference of absolute copy-number alterations [CNAs]), a bio-informatics technique that allows inference of absolute CNAs of low-purity samples by leveraging the information of high-purity samples from the same cancer. Quantitative analysis of matched absolute CNAs reveals that the amount of karyotype evolution induced by chemoradiotherapy (CRT) is predictive for early recurrence and depends on the initial level of karyotype intra-tumor heterogeneity. We observe that CNAs acquired in response to CRT are partially reversed back to the initial state upon recurrence. Hence, CRT alters the fitness landscape to which tumors can adjust by adapting their karyotype. Together, our results indicate that karyotype plasticity contributes to the therapy resistance of EACs.

Cell ReportsVol. 43(11)
The Netherlands Cancer Institute (NL), Oncode Institute (NL), Amsterdam University Medical Centers (NL), Vrije Universiteit Amsterdam (NL)
KWF Kankerbestrijding
Zero hunger
Openalex Percentile: Top 38%
Cancer Genomics and Diagnostics
0.29
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