0000000000062009
AUTHOR
Martin Loewer
showing 13 related works from this author
Immunomic, genomic and transcriptomic characterization of CT26 colorectal carcinoma
2013
Background Tumor models are critical for our understanding of cancer and the development of cancer therapeutics. Here, we present an integrated map of the genome, transcriptome and immunome of an epithelial mouse tumor, the CT26 colon carcinoma cell line. Results We found that Kras is homozygously mutated at p.G12D, Apc and Tp53 are not mutated, and Cdkn2a is homozygously deleted. Proliferation and stem-cell markers, including Top2a, Birc5 (Survivin), Cldn6 and Mki67, are highly expressed while differentiation and top-crypt markers Muc2, Ms4a8a (MS4A8B) and Epcam are not. Myc, Trp53 (tp53), Mdm2, Hif1a, and Nras are highly expressed while Egfr and Flt1 are not. MHC class I but not MHC class…
Abstract CT020: MERIT: introducing individualized cancer vaccines for the treatment of TNBC - a phase I trial
2016
Abstract The majority of metastatic cancers remain incurable since the current methods of treatment often fail to target the heterogeneous nature of each individual patient's tumor. Personalized approaches targeting each individual patient's tumor may therefore bring significant improvements. The Mutanome Engineered RNA Immuno-Therapy (MERIT) consortium will clinically validate a pioneering RNA-based immunotherapy concept for the treatment of triple negative breast cancer (TNBC) by targeting shared tumor antigens and individual neo-antigens in TNBC patients. MERIT combines two personalized treatment concepts: (i) treatment with vaccines containing “off-the-shelf” mRNAs selected from a pre-s…
A novel neural stem cell-derived immunocompetent mouse model of glioblastoma for preclinical studies
2020
AbstractGlioblastomas are the most lethal tumors affecting the central nervous system in adults. Simple and inexpensive syngeneicin vivomodels that closely mirror human glioblastoma, including interactions between tumor and immune cells, are urgently needed for deciphering glioma biology and developing more effective treatments. Here, we generated glioblastoma cell lines by repeatedin-vivopassaging of cells isolated from a neural stem cell-specific Pten/p53 double-knockout genetic mouse brain tumor model. Transcriptome and genome analyses of the cell lines revealed molecular heterogeneity comparable to that observed in human glioblastoma. Upon orthotopic transplantation into syngeneic hosts…
Identification of a tumor-reactive T-cell repertoire in the immune infiltrate of patients with resectable pancreatic ductal adenocarcinoma
2016
The devastating prognosis of patients with resectable pancreatic ductal adenocarcinoma (PDA) presents an urgent need for the development of therapeutic strategies targeting disseminated tumor cells. Until now, T-cell therapy has been scarcely pursued in PDA, due to the prevailing view that it represents a poorly immunogenic tumor.We systematically analyzed T-cell infiltrates in tumor biopsies from 127 patients with resectable PDA by means of immunohistochemistry, flow cytometry, T-cell receptor (TCR) deep-sequencing and functional analysis ofProminent T-cell infiltrates, as well as tertiary lymphoid structures harboring proliferating T-cells, were detected in the vast majority of biopsies f…
Genomics Meets Cancer Immunotherapy
2014
High-throughput cancer genomics and bioinformatics are revolutionizing our ability to profile tumor samples. With next-generation sequencing (NGS) and high-performance computing (HPC) platforms, we have developed the infrastructures to determine and characterize tumor genomes and transcriptomes within days. Now, we are integrating these platforms into both cancer immunology and patient therapy decision-making. Here, we briefly describe the technology platforms and highlight several emerging applications: profiling of tumor mutations and gene expression; determination of HLA type and tumor expression, enabling prediction of immunogenic tumor mutations; and identification of viruses present i…
Mutated tumor alleles are expressed according to their DNA frequency
2014
AbstractThe transcription of tumor mutations from DNA into RNA has implications for biology, epigenetics and clinical practice. It is not clear if mutations are in general transcribed and, if so, at what proportion to the wild-type allele. Here, we examined the correlation between DNA mutation allele frequency and RNA mutation allele frequency. We sequenced the exome and transcriptome of tumor cell lines with large copy number variations, identified heterozygous single nucleotide mutations and absolute DNA copy number and determined the corresponding DNA and RNA mutation allele fraction. We found that 99% of the DNA mutations in expressed genes are expressed as RNA. Moreover, we found a hig…
A liposomal RNA vaccine inducing neoantigen-specific CD4+ T cells augments the antitumor activity of local radiotherapy in mice
2020
Antigen-encoding, lipoplex-formulated RNA (RNA-LPX) enables systemic delivery to lymphoid compartments and selective expression in resident antigen-presenting cells. We report here that the rejection of CT26 tumors, mediated by local radiotherapy (LRT), is further augmented in a CD8+ T cell-dependent manner by an RNA-LPX vaccine that encodes CD4+ T cell-recognized neoantigens (CD4 neoantigen vaccine). Whereas CD8+ T cells induced by LRT alone were primarily directed against the immunodominant gp70 antigen, mice treated with LRT plus the CD4 neoantigen vaccine rejected gp70-negative tumors and were protected from rechallenge with these tumors, indicating a potent poly-antigenic CD8+ T cell r…
Large-scale analysis of SARS-CoV-2 spike-glycoprotein mutants demonstrates the need for continuous screening of virus isolates
2021
AbstractDue to the widespread of the COVID-19 pandemic, the SARS-CoV-2 genome is evolving in diverse human populations. Several studies already reported different strains and an increase in the mutation rate. Particularly, mutations in SARS-CoV-2 spike-glycoprotein are of great interest as it mediates infection in human and recently approved mRNA vaccines are designed to induce immune responses against it.We analyzed 146,917 SARS-CoV-2 genome assemblies and 2,393 NGS datasets from GISAID, NCBI Virus and NCBI SRA archives focusing on non-synonymous mutations in the spike protein.Only around 13.8% of the samples contained the wild-type spike protein with no variation from the reference. Among…
SNVSniffer: an integrated caller for germline and somatic single-nucleotide and indel mutations
2016
Various approaches to calling single-nucleotide variants (SNVs) or insertion-or-deletion (indel) mutations have been developed based on next-generation sequencing (NGS). However, most of them are dedicated to a particular type of mutation, e.g. germline SNVs in normal cells, somatic SNVs in cancer/tumor cells, or indels only. In the literature, efficient and integrated callers for both germline and somatic SNVs/indels have not yet been extensively investigated. We present SNVSniffer, an efficient and integrated caller identifying both germline and somatic SNVs/indels from NGS data. In this algorithm, we propose the use of Bayesian probabilistic models to identify SNVs and investigate a mult…
SNVSniffer: An integrated caller for germline and somatic SNVs based on Bayesian models
2015
The discovery of single nucleotide variants (SNVs) from next-generation sequencing (NGS) data typically works by aligning reads to a given genome and then creating an alignment map to interpret the presence of SNVs. Various approaches have been developed to call whether germline SNVs (or SNPs) in normal cells or somatic SNVs in cancer/tumor cells. Nonetheless, efficient callers for both germline and somatic SNVs have not yet been extensively investigated. In this paper, we present SNVSniffer, an integrated caller for germline and somatic SNVs from NGS data based on Bayesian probabilistic models. In SNVSniffer, our germline SNV calling models allele counts per site as a multinomial condition…
Abstract CT022: IVAC® MUTANOME - A first-in-human phase I clinical trial targeting individual mutant neoantigens for the treatment of melanoma
2016
Abstract One of the hallmarks of cancer is the inherent instability of the genome leading to multiple genomic alterations and epigenetic changes that ultimately drive carcinogenesis. These processes lead to a unique molecular profile of every given tumor and to substantial intratumoral heterogeneity of cancer tissues. Recently, a series of independent reports revealed that pre-formed neoantigen specific T-cell responses are of crucial relevance for the clinical efficacy of immune checkpoint inhibitors. However, spontaneous immune recognition of neoantigens seems to be a rare event with only less than 1% of mutations inducing a T-cell response in the tumor-bearing patient. Accordingly, only …
Translation of genomics-guided RNA-based personalised cancer vaccines: towards the bedside
2014
Cancer is a disease caused by DNA mutations. Cancer therapies targeting defined functional mutations have shown clinical benefit. However, as 95% of the mutations in a tumour are unique to that single patient and only a small number of mutations are shared between patients, the addressed medical need is modest. A rapidly determined patient-specific tumour mutation pattern combined with a flexible mutation-targeting drug platform could generate a mutation-targeting individualised therapy, which would benefit each single patient. Next-generation sequencing enables the rapid identification of somatic mutations in individual tumours (the mutanome). Immunoinformatics enables predictions of mutat…
Abstract CT201: The Mutanome Engineered RNA Immuno-Therapy (MERIT) project
2015
Abstract The Mutanome Engineered RNA Immuno-Therapy (MERIT) consortium will clinically and industrially validate a pioneering RNA-based immunotherapy concept that targets individual tumor antigens and tumor-specific mutations in triple negative breast cancer (TNBC) patients. This biomarker-guided, personalized therapy is a collaborative effort of five partners from academia and industry and is funded by the European Commission's FP7 and led by BioNTech AG. TNBC is an aggressive, molecularly heterogeneous cancer that accounts for 20% of all breast cancer patients. The 5-year survival rate is less than 80%. The molecular heterogeneity across TNBCs results in a lack of common targetable molecu…