Abstract P2-07-06: Multi-omics characterization of claudin-low breast tumors

Breast tumors display highly heterogeneous characteristics both at transcriptional level and in term of genomic landscape. We recently reported that the differentiation status of the cell-of-origin influences the genetic route toward tumorigenesis1. Indeed, mammary stem cells exhibit the intrinsic property to tolerate the oxidative stress inherent to the oncogenic transformation through the expression of a preemptive program driven by ZEB1, an epithelial-to-mesenchymal transition (EMT)-related transcription factor, and MSRB3, a methionine sulfoxide reductase. Thereby, ZEB1-expressing tumors exhibit low level of DNA damage associated with few genomic alterations and low level of TP53 mutations. Importantly, these tumors share several transcriptional characteristics and features with normal stem cells, and with Claudin-Low (CL) molecular subtype of breast cancers. In the present work, we attempt to decipher molecular traits of CL breast tumors through multi-omics analyses of publicly available databases. This global approach allows us to highlight various CL breast tumors features as clinical attributes, gene expression, copy number alterations (CNA), somatic mutations or drug responses by differential analyses of breast tumors and cancer cell lines. Preliminary results indicate that, independently of tumor purity, CL breast tumors are mostly diploids, present a paucity of genomic rearrangements and a lower mutation rate compared to other breast tumors. They mainly, but not exclusively, show basal features and belong to the integrative cluster 4 (CNA-devoid) described by Christina Curtis and colleagues2. Concerning gene expression, CL breast tumors exhibit a frequent activation of RAS signaling pathway, an observation consistent with their sensitivity to MAPK inhibitors. Other analyses are currently ongoing and aim to better understand the biology of CL breast tumors in order to improve both the diagnosis and the therapeutic strategy used.

1. Morel A-P et al. A stemness-related ZEB1-MSRB3 axis governs cellular pliancy and breast cancer genome stability. Nature Medicine. 2017 Apr 10.

2. Curtis C et al. The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups. Nature. 2012 Apr 18.

Citation Format: Pommier RM, Morel A-P, Tissier A, Thomas E, Kielbassa J, Tonon L, Sohier E, Viari A, Saintigny P, Puisieux A. Multi-omics characterization of claudin-low breast tumors [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P2-07-06.

Abstract P6-07-13: New insights on HER2 amplification from the constitutional and somatic standpoints: Results from the ICGC and SIGNAL/Phare studies

Background: HER2-positive (HER2+) breast cancers are defined by the amplification and/or overexpression of the human epidermal growth factor receptor (HER2/ERBB2) gene on chromosome region 17q12. Although anti-HER2 targeted therapies have greatly improved treatment of HER2+ breast cancer, the magnitude of benefit varies widely between patients. Deciphering the genomic and genetic heterogeneity of HER2+ breast cancer may provide a basis to better understand their natural history, opening new avenues of treatment.

Methods: As part of the ICGC Breast Cancer Working Group effort, we combined whole genome sequencing and transcriptomic analyses of 64 HER2+ primary invasive carcinomas, and a genome wide association study (GWAS) of over 9.836 breast cancer patients in the prospective SIGNAL/PHARE cohort (NCT00381901 – RECF1098).

Results: Using WGS data we precisely delineate the ERBB2 amplicon as a 106 kb region involving six genes and show that the amplification mechanism was consistent with breakage-fusion-bridge (BFB) cycles. Four RNA expression-based groups were identified, displaying specific genomic alterations in terms of amplification, rearrangements and mutations. On other hand, GWAS analyses failed to identify any constitutional variants associated with HER2 amplification.

Discussion: By combining whole genome sequencing and expression analysis, we provide evidence showing that HER2+ tumours display considerably more molecular heterogeneity than previously reported. These results are reinforced with the lack of association between any genetic variants and HER2 amplification from GWAS analyses. Taken as a whole, these results suggest that HER2+ breast cancers do not represent per se a homogeneous subtype, but are distributed along the whole breast cancer spectrum, from ER-positive luminal to ER-negative basal phenotype. Genome alterations present in HER2+ tumors are in accordance with these phenotypes, and it is likely that the HER2 amplification is a secondary event in the course of tumorigenesis, not favored by any particular constitutional or somatic genetic variants.

Citation Format: Vincent-Salomon A, Ferrari A, Pivot X, Macgrogan G, Arnould L, Treilleux I, Romieux G, Sertier A-S, Thomas E, Tonon L, Boyault S, Kielbassa J, Letexier V, Pauporte I, Birbaum D, Saintigny P, Cox D, Viari A. New insights on HER2 amplification from the constitutional and somatic standpoints: Results from the ICGC and SIGNAL/Phare studies. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P6-07-13.

The importance of incorporating age and sex when backcalculating length in bullhead Cottus gobio

The present study backcalculated body length for a data set of a bullhead Cottus gobio population located at different sampling sites in a river network. Model comparison between various growth models, which included successively new parameters, showed the effect and importance of taking sex, age and the location in the river network into account. The data sets obtained by backcalculation were fitted by the von Bertalanffy growth function, which revealed the effect of the backcalculation formula on the estimation of the von Bertalanffy growth parameters. Fitting results and parameter estimates showed again the importance of incorporating age and sex when backcalculating body length in the C. gobio population studied.

Modeling of the U1 snRNP assembly pathway in alternative splicing in human cells using Petri nets

The investigation of spliceosomal processes is currently a topic of intense research in molecular biology. In the molecular mechanism of alternative splicing, a multi-protein-RNA complex - the spliceosome - plays a crucial role. To understand the biological processes of alternative splicing, it is essential to comprehend the biogenesis of the spliceosome. In this paper, we propose the first abstract model of the regulatory assembly pathway of the human spliceosomal subunit U1. Using Petri nets, we describe its highly ordered assembly that takes place in a stepwise manner. Petri net theory represents a mathematical formalism to model and analyze systems with concurrent processes at different abstraction levels with the possibility to combine them into a uniform description language. There exist many approaches to determine static and dynamic properties of Petri nets, which can be applied to analyze biochemical systems. In addition, Petri net tools usually provide intuitively understandable graphical network representations, which facilitate the dialog between experimentalists and theoreticians. Our Petri net model covers binding, transport, signaling, and covalent modification processes. Through the computation of structural and behavioral Petri net properties and their interpretation in biological terms, we validate our model and use it to get a better understanding of the complex processes of the assembly pathway. We can explain the basic network behavior, using minimal T-invariants which represent special pathways through the network. We find linear as well as cyclic pathways. We determine the P-invariants that represent conserved moieties in a network. The simulation of the net demonstrates the importance of the stability of complexes during the maturation pathway. We can show that complexes that dissociate too fast, hinder the formation of the complete U1 snRNP.