Francesco Marass

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Marass

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Francesco

ORCID

0000-0002-8993-7320

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Publications 1 - 10 of 10

Kinome capture sequencing of high-grade serous ovarian carcinoma reveals novel mutations in theJAK3gene
Mittempergher, Lorenza; Piskorz, Anna M.; Bosma, Astrid J.; et al. (2020)
PLoS ONE
High-grade serous ovarian carcinoma (HGSOC) remains the deadliest form of epithelial ovarian cancer and despite major efforts little improvement in overall survival has been achieved. Identification of recurring "driver" genetic lesions has the potential to enable design of novel therapies for cancer. Here, we report on a study to find such new therapeutic targets for HGSOC using exome-capture sequencing approach targeting all kinase genes in 127 patient samples. Consistent with previous reports, the most frequently mutated gene wasTP53(97% mutation frequency) followed byBRCA1(10% mutation frequency). The average mutation frequency of the kinase genes mutated from our panel was 1.5%. Intriguingly, afterBRCA1,JAK3was the most frequently mutated gene (4% mutation frequency). We tested the transforming properties of JAK3 mutants using the Ba/F3 cell-basedin vitrofunctional assay and identified a novel gain-of-function mutation in the kinase domain ofJAK3(p.T1022I). Importantly, p.T1022IJAK3mutants displayed higher sensitivity to the JAK3-selective inhibitor Tofacitinib compared to controls. For independent validation, we re-sequenced the entireJAK3coding sequence using tagged amplicon sequencing (TAm-Seq) in 463 HGSOCs resulting in an overall somatic mutation frequency of 1%. TAm-Seq screening ofCDK12in the same population revealed a 7% mutation frequency. Our data confirms that the frequency of mutations in kinase genes in HGSOC is low and provides accurate estimates for the frequency ofJAK3andCDK12mutations in a large well characterized cohort. Although p.T1022IJAK3mutations are rare, our functional validation shows that if detected they should be considered as potentially actionable for therapy. The observation ofCDK12mutations in 7% of HGSOC cases provides a strong rationale for routine somatic testing, although more functional and clinical characterization is required to understand which nonsynonymous mutations alterations are associated with homologous recombination deficiency.
Detection of cell-free DNA fragmentation and copy number alterations in cerebrospinal fluid from glioma patients
Mouliere, Florent; Mair, Richard; Chandrananda, Dineika; et al. (2018)
EMBO Molecular Medicine
Glioma is difficult to detect or characterize using current liquid biopsy approaches. Detection of cell‐free tumor DNA (cftDNA) in cerebrospinal fluid (CSF) has been proposed as an alternative to detection in plasma. We used shallow whole‐genome sequencing (sWGS, at a coverage of < 0.4×) of cell‐free DNA from the CSF of 13 patients with primary glioma to determine somatic copy number alterations and DNA fragmentation patterns. This allowed us to determine the presence of cftDNA in CSF without any prior knowledge of point mutations present in the tumor. We also showed that the fragmentation pattern of cell‐free DNA in CSF is different from that in plasma. This low‐cost screening method provides information on the tumor genome and can be used to target those patients with high levels of cftDNA for further larger‐scale sequencing, such as by whole‐exome and whole‐genome sequencing.
Phylogenetic inference reveals clonal heterogeneity in circulating tumor cell clusters
Gremmelspacher, David; Gawron, Johannes; Szczerba, Barbara M.; et al. (2025)
Nature Genetics
Circulating tumor cell (CTC) clusters are highly efficient metastatic seeds in various cancers. Yet, their genetic heterogeneity and clonal architecture is poorly characterized. Using whole-exome sequencing coupled with phylogenetic inference from CTC clusters of patients with breast and prostate cancer, as well as mouse cancer models alongside barcode-mediated clonal tracking in vivo, we demonstrate oligoclonal composition of individual CTC clusters. These results improve our understanding of metastasis-relevant clonal dynamics.
Predicting tumour content of liquid biopsies from cell-free DNA
Cardner, Mathias; Marass, Francesco; Gedvilaite, Erika; et al. (2023)
BMC Bioinformatics
Background: Liquid biopsy is a minimally-invasive method of sampling bodily fluids, capable of revealing evidence of cancer. The distribution of cell-free DNA (cfDNA) fragment lengths has been shown to differ between healthy subjects and cancer patients, whereby the distributional shift correlates with the sample’s tumour content. These fragmentomic data have not yet been utilised to directly quantify the proportion of tumour-derived cfDNA in a liquid biopsy. Results: We used statistical learning to predict tumour content from Fourier and wavelet transforms of cfDNA length distributions in samples from 118 cancer patients. The model was validated on an independent dilution series of patient plasma. Conclusions: This proof of concept suggests that our fragmentomic methodology could be useful for predicting tumour content in liquid biopsies.
Fragment Size Analysis May Distinguish Clonal Hematopoiesis from Tumor-Derived Mutations in Cell-Free DNA
Marass, Francesco; Stephens, Dennis; Ptashkin, Ryan; et al. (2020)
Clinical Chemistry
Dynamics of multiple resistance mechanisms in plasma DNA during EGFR-targeted therapies in non-small cell lung cancer
Tsui, Dana Wai Yi; Murtaza, Muhammed; Wong, Alvin Seng Cheong; et al. (2018)
EMBO Molecular Medicine
Tumour heterogeneity leads to the development of multiple resistance mechanisms during targeted therapies. Identifying the dominant driver(s) is critical for treatment decision. We studied the relative dynamics of multiple oncogenic drivers in longitudinal plasma of 50 EGFR‐mutant non‐small‐cell lung cancer patients receiving gefitinib and hydroxychloroquine. We performed digital PCR and targeted sequencing on samples from all patients and shallow whole‐genome sequencing on samples from three patients who underwent histological transformation to small‐cell lung cancer. In 43 patients with known EGFR mutations from tumour, we identified them accurately in plasma of 41 patients (95%, 41/43). We also found additional mutations, including EGFR T790M (31/50, 62%), TP53 (23/50, 46%), PIK3CA (7/50, 14%) and PTEN (4/50, 8%). Patients with both TP53 and EGFR mutations before treatment had worse overall survival than those with only EGFR. Patients who progressed without T790M had worse PFS during TKI continuation and developed alternative alterations, including small‐cell lung cancer‐associated copy number changes and TP53 mutations, that tracked subsequent treatment responses. Longitudinal plasma analysis can help identify dominant resistance mechanisms, including non‐druggable genetic information that may guide clinical management.
Computational Analysis of DNA and RNA Sequencing Data Obtained from Liquid Biopsies
Marass, Francesco; Castro-Giner, Francesc; Szczerba, Barbara Maria; et al. (2020)
Recent Results in Cancer Research ~ Tumor Liquid Biopsies. Recent Results in Cancer Research
Enhanced detection of circulating tumor DNA by fragment size analysis
Mouliere, Florent; Chandrananda, Dineika; Piskorz, Anna M.; et al. (2018)
Science Translational Medicine
BnpC: Bayesian non-parametric clustering of single-cell mutation profiles
Borgsmüller, Nico; Bonet, Jose; Marass, Francesco; et al. (2020)
Bioinformatics
Motivation The high resolution of single-cell DNA sequencing (scDNA-seq) offers great potential to resolve intratumor heterogeneity (ITH) by distinguishing clonal populations based on their mutation profiles. However, the increasing size of scDNA-seq datasets and technical limitations, such as high error rates and a large proportion of missing values, complicate this task and limit the applicability of existing methods. Results Here, we introduce BnpC, a novel non-parametric method to cluster individual cells into clones and infer their genotypes based on their noisy mutation profiles. We benchmarked our method comprehensively against state-of-the-art methods on simulated data using various data sizes, and applied it to three cancer scDNA-seq datasets. On simulated data, BnpC compared favorably against current methods in terms of accuracy, runtime and scalability. Its inferred genotypes were the most accurate, especially on highly heterogeneous data, and it was the only method able to run and produce results on datasets with 5000 cells. On tumor scDNA-seq data, BnpC was able to identify clonal populations missed by the original cluster analysis but supported by Supplementary Experimental Data. With ever growing scDNA-seq datasets, scalable and accurate methods such as BnpC will become increasingly relevant, not only to resolve ITH but also as a preprocessing step to reduce data size. Availability and implementation BnpC is freely available under MIT license at https://github.com/cbg-ethz/BnpC. Supplementary information Supplementary data are available at Bioinformatics online.
Cell‐free DNA profiling in retinoblastoma patients with advanced intraocular disease: An MSKCC experience
Kothari, Prachi; Marass, Francesco; Yang, Julie L.; et al. (2020)
Cancer Medicine
Purpose The enucleation rate for retinoblastoma has dropped from over 95% to under 10% in the past 10 years as a result of improvements in therapy. This reduces access to tumor tissue for molecular profiling, especially in unilateral retinoblastoma, and hinders the confirmation of somatic RB1 mutations necessary for genetic counseling. Plasma cell‐free DNA (cfDNA) has provided a platform for noninvasive molecular profiling in cancer, but its applicability in low tumor burden retinoblastoma has not been shown. We analyzed cfDNA collected from 10 patients with available tumor tissue to determine whether sufficient tumorderived cfDNA is shed in plasma from retinoblastoma tumors to enable noninvasive RB1 mutation detection. Methods Tumor tissue was collected from eye enucleations in 10 patients diagnosed with advanced intra‐ocular unilateral retinoblastoma, three of which went on to develop metastatic disease. Tumor RB1 mutation status was determined using an FDA‐cleared tumor sequencing assay, MSK‐IMPACT. Plasma samples were collected before eye enucleation and analyzed with a customized panel targeting all exons of RB1. Results Tumor‐guided genotyping detected 10 of the 13 expected somatic RB1 mutations in plasma cfDNA in 8 of 10 patients (average variant allele frequency 3.78%). Without referring to RB1 status in the tumor, de novo mutation calling identified 7 of the 13 expected RB1 mutations (in 6 of 10 patients) with high confidence. Conclusion Plasma cfDNA can detect somatic RB1 mutations in patients with unilateral retinoblastoma. Since intraocular biopsies are avoided in these patients because of concern about spreading tumor, cfDNA can potentially offer a noninvasive platform to guide clinical decisions about treatment, follow‐up schemes, and risk of metastasis.

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Francesco Marass

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