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Polyak, Kornelia

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Polyak

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Kornelia

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Polyak, Kornelia

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  • Publication

    Non-cell autonomous tumor-growth driving supports sub-clonal heterogeneity

    (2014) Marusyk, Andriy; Tabassum, Doris P.; Altrock, Philipp; Almendro, Vanessa; Michor, Franziska; Polyak, Kornelia

    SUMMARY Cancers arise through a process of somatic evolution that can result in substantial sub-clonal heterogeneity within tumors. The mechanisms responsible for the coexistence of distinct sub-clones and the biological consequences of this coexistence remain poorly understood. Here we used a mouse xenograft model to investigate the impact of sub-clonal heterogeneity on tumor phenotypes and the competitive expansion of individual clones. We found that tumor growth can be driven by a minor cell subpopulation, which enhances the proliferation of all cells within a tumor by overcoming environmental constraints and yet can be outcompeted by faster proliferating competitors, resulting in tumor collapse. We then developed a mathematical modeling framework to identify the rules underlying the generation of intratumor clonal heterogeneity. We found that non-cell autonomous driving, together with clonal interference, stabilizes sub-clonal heterogeneity, thereby enabling inter-clonal interactions that can lead to new phenotypic traits.

  • Publication

    In situ single cell analysis identifies heterogeneity for PIK3CA mutation and HER2 amplification in HER2+ breast cancer

    (2015) Janiszewska, Michalina; Liu, Lin; Almendro, Vanessa; Kuang, Yanan; Paweletz, Cloud; Sakr, Rita A.; Weigelt, Britta; Hanker, Ariella B.; Chandarlapaty, Sarat; King, Tari A.; Reis-Filho, Jorge S.; Arteaga, Carlos L.; Park, So Yeon; Michor, Franziska; Polyak, Kornelia

    Detection of minor genetically distinct subpopulations within tumors is a key challenge in cancer genomics. Here we report STAR-FISH (Specific-To-Allele PCR – FISH), a novel method for the combined detection of single nucleotide and copy number alterations in single cells in intact archived tissues. Using this method, we assessed the clinical impact of changes in the frequency and topology of PIK3CA mutation and HER2/ERBB2 amplification within HER2+ breast cancer during neoadjuvant therapy. We found that the two genetic events are not always present within the same cell. Chemotherapy selects for PIK3CA mutant cells, a minor subpopulation in nearly all treatment-naïve samples, and modulates genetic diversity within tumors. Treatment-associated changes in spatial distribution of cellular genetic diversity correlated with poor long-term outcome following adjuvant trastuzumab therapy. Our findings support the use of in situ single-cell based methods in cancer genomics and imply that chemotherapy before HER2-targeted therapy may promote treatment resistance.