Ana Grujovic

Although thousands of breast cancer cells disseminate and home to bone marrow until primary surgery, usually less than a handful will succeed in establishing manifest metastases months to years later. To identify signals that support survival or outgrowth in patients, we profile rare bone marrow-derived disseminated cancer cells (DCCs) long before manifestation of metastasis and identify IL6/PI3K-signaling as candidate pathway for DCC activation. Surprisingly, and similar to mammary epithelial cells, DCCs lack membranous IL6 receptor expression and mechanistic dissection reveals IL6 trans-signaling to regulate a stem-like state of mammary epithelial cells via gp130. Responsiveness to IL6 trans-signals is found to be niche-dependent as bone marrow stromal and endosteal cells down-regulate gp130 in premalignant mammary epithelial cells as opposed to vascular niche cells. PIK3CA activation renders cells independent from IL6 trans-signaling. Consistent with a bottleneck function of microenvironmental DCC control, we find PIK3CA mutations highly associated with late-stage metastatic cells while being extremely rare in early DCCs. Our data suggest that the initial steps of metastasis formation are often not cancer cell-autonomous, but also depend on microenvironmental signals.

Gene expression analysis of rare or heterogeneous cell populations such as disseminated cancer cells (DCCs) requires a sensitive method allowing reliable analysis of single cells. Therefore, we developed and explored the feasibility of a quantitative PCR (qPCR) assay to analyze single-cell cDNA pre-amplified using a previously established whole transcriptome amplification (WTA) protocol. We carefully selected and optimized multiple steps of the protocol, e.g. re-amplification of WTA products, quantification of amplified cDNA yields and final qPCR quantification, to identify the most reliable and accurate workflow for quantitation of gene expression of the ERBB2 gene in DCCs. We found that absolute quantification outperforms relative quantification. We then validated the performance of our method on single cells of established breast cancer cell lines displaying distinct levels of HER2 protein. The different protein levels were faithfully reflected by transcript expression across the tested cell lines thereby proving the accuracy of our approach. Finally, we applied our method to breast cancer DCCs of a patient undergoing anti-HER2-directed therapy. Here, we were able to measure ERBB2 expression levels in all HER2-protein-positive DCCs. In summary, we developed a reliable single-cell qPCR assay applicable to measure distinct levels of ERBB2 in DCCs.

Abstract Gene expression analysis of rare or heterogeneous cell populations such as disseminated cancer cells (DCCs) requires a sensitive method allowing reliable analysis of single cells. Therefore, we developed and explored the feasibility of a quantitative PCR (qPCR) assay to analyze single-cell cDNA pre-amplified using a previously established whole transcriptome amplification (WTA) protocol. We carefully selected and optimized multiple steps of the protocol, e.g. re-amplification of WTA products, quantification of amplified cDNA yields and final qPCR quantification, to identify the most reliable and accurate workflow for quantitation of gene expression of the ERBB2 gene in DCCs. We found that absolute quantification outperforms relative quantification. We then validated the performance of our method on single cells of established breast cancer cell lines displaying distinct levels of HER2 protein. The different protein levels were faithfully reflected by transcript expression across the tested cell lines thereby proving the accuracy of our approach. Finally, we applied our method on patient-derived breast cancer DCCs. Here, we were able to measure ERBB2 expression levels in all HER2-positive DCCs. In addition, we could detect ERBB2 transcript expression even in HER2-negative DCCs, suggesting post-transcriptional mechanisms of HER2 loss in anti-HER2-treated DCCs. In summary, we developed a reliable single-cell qPCR assay applicable to measure distinct levels of ERBB2 in DCCs.

Abstract While thousands of breast cancer cells disseminate and home to bone marrow (BM) until primary surgery, usually less than a handful will succeed in establishing manifest metastases months to years later. Signals and mechanisms determining failure or success of disseminated cancer cells (DCCs) are largely unknown and there is no in vivo model available to study the spontaneous progression and genomic evolution from early bone marrow infiltration to manifestation of bone metastasis, as spontaneous or transgenic mouse models do not generate bone metastases. We therefore profiled DCCs from BM of breast cancer patients long before manifestation of metastasis by RNAseq to identify signals supporting survival or outgrowth of DCCs and identified IL6/PTEN/PI3K signaling as candidate pathway for DCC activation. Since early DCCs often display close-to-normal genomes we used mammary epithelial cells ex vivo isolated from reduction mammoplasties and immortalized pre-malignant breast cancer cell lines as model for functional testing in vitro. Using specific activators and inhibitors of IL6 signaling revealed that IL6 trans, but not classical signaling, regulates stemness of mammary epithelial cells. Moreover, knock-down of PTEN revealed that PI3K/PTEN pathway activation renders cells independent of IL6 trans-signaling. Interestingly, gp130 expression, a pre-requisite for IL6 trans-signaling was found to be down-regulated by bone marrow stromal and endosteal, but not vascular niche cells, and as a consequence the number of cells with stem-like ability was significantly reduced. Consistent with a bottleneck function of microenvironmental DCC control, we found PIK3CA mutations highly associated with late-stage metastatic DCCs and CTCs while generally absent in early DCCs. Our data suggest that the initial steps of metastasis formation depend on microenvironmental signals and are not cancer cell-autonomous. Citation Format: Melanie Werner-Klein, Ana Grujovic, Milan Obradovic, Martin Hoffmann, Xin Lu, Stefan Kirsch, Steffi Treitschke, Cäcilia Köstler, Kathrin Weidele, Christoph Irlbeck, Catherine Botteron, Christian Werno, Bernhard Polzer, Miodrag Guzvic, Stefan Buchholz, Petra Rümmele, Norbert Heine, Stefan Rose-John, Christoph A. Klein. Interleukin 6 transsignaling is a candidate mechanism to drive progression of human DCCs during periods of clinical latency [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr LB-312.

Metastasis is the major cause of death of cancer patients. In breast cancer dissemination from the primary site occurs preferentially in early tumor stages. Early dissemination and prolonged clinical latency at distant sites raise the question about the identity and nature of signals that confer survival, persistence in dormant state over extended periods of time and finally, the outgrowth of DCCs. Since DCCs are "close-to-normal" in terms of their cariotypic profiles, we studied the nature of signals that control metastasis-related processes in the mammary epithelial cells isolated from non-transformed mammary gland. We found IL-6 as one of potential regulators of dormancy/outgrowth of DCCs at the metastatic site.