4.8 Article

Accurate detection of tumor-specific gene fusions reveals strongly immunogenic personal neo-antigens

Journal

NATURE BIOTECHNOLOGY
Volume 40, Issue 8, Pages 1276-+

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41587-022-01247-9

Keywords

-

Funding

  1. RB_T002 research program [DRKS00011790]
  2. European Research Council [789256]
  3. European Research Council (ERC) [789256] Funding Source: European Research Council (ERC)

Ask authors/readers for more resources

EasyFuse is a machine learning computational pipeline that accurately and sensitively detects personal gene fusions from transcriptome data in cancer samples, and it has been proven in immunogenicity testing that personal gene fusions are important in personalized immunotherapy.
Cancer-associated gene fusions are a potential source for highly immunogenic neoantigens, but the lack of computational tools for accurate, sensitive identification of personal gene fusions has limited their targeting in personalized cancer immunotherapy. Here we present EasyFuse, a machine learning computational pipeline for detecting cancer-specific gene fusions in transcriptome data obtained from human cancer samples. EasyFuse predicts personal gene fusions with high precision and sensitivity, outperforming previously described tools. By testing immunogenicity with autologous blood lymphocytes from patients with cancer, we detected pre-established CD4(+) and CD8(+) T cell responses for 10 of 21 (48%) and for 1 of 30 (3%) identified gene fusions, respectively. The high frequency of T cell responses detected in patients with cancer supports the relevance of individual gene fusions as neoantigens that might be targeted in personalized immunotherapies, especially for tumors with low mutation burden. EasyFuse detects gene fusions in cancer transcriptomes for personalized immunotherapy.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Oncology

Multi-Omics Characterization of the 4T1 Murine Mammary Gland Tumor Model

Barbara Schroers, Sebastian Boegel, Christian Albrecht, Thomas Bukur, Valesca Bukur, Christoph Holtstraeter, Christoph Ritzel, Katja Manninen, Arbel D. Tadmor, Mathias Vormehr, Ugur Sahin, Martin Loewer

FRONTIERS IN ONCOLOGY (2020)

Article Biochemistry & Molecular Biology

Key Parameters of Tumor Epitope Immunogenicity Revealed Through a Consortium Approach Improve Neoantigen Prediction

Daniel K. Wells, Marit M. van Buuren, Kristen K. Dang, Vanessa M. Hubbard-Lucey, Kathleen C. F. Sheehan, Katie M. Campbell, Andrew Lamb, Jeffrey P. Ward, John Sidney, Ana B. Blazquez, Andrew J. Rech, Jesse M. Zaretsky, Begonya Comin-Anduix, Alphonsus H. C. Ng, William Chour, Thomas Yu, Hira Rizvi, Jia M. Chen, Patrice Manning, Gabriela M. Steiner, Xengie C. Doan, Taha Merghoub, Justin Guinney, Adam Kolom, Cheryl Selinsky, Antoni Ribas, Matthew D. Hellmann, Nir Hacohen, Alessandro Sette, James R. Heath, Nina Bhardwaj, Fred Ramsdell, Robert D. Schreiber, Ton N. Schumacher, Pia Kvistborg, Nadine A. Defranoux

Article Biochemical Research Methods

NeoFox: annotating neoantigen candidates with neoantigen features

Franziska Lang, Pablo Riesgo Ferreiro, Martin Loewer, Ugur Sahin, Barbara Schroers

Summary: The study focused on detecting and predicting true neoantigens, leading to the development of an easy-to-use tool called NeoFox for annotating neoantigen candidates with 16 features.

BIOINFORMATICS (2021)

Article Biochemistry & Molecular Biology

Comprehensive Genomic and Transcriptomic Analysis of Three Synchronous Primary Tumours and a Recurrence from a Head and Neck Cancer Patient

Luisa Bresadola, David Weber, Christoph Ritzel, Martin Loewer, Valesca Bukur, Oezlem Akilli-Oeztuerk, Julia Becker, Hisham Mehanna, Barbara Schroers, Fulvia Vascotto, Ugur Sahin, Anthony Kong

Summary: This study analysed genomic and transcriptomic profiles of three synchronous primary malignancies and a recurrence, finding remarkable heterogeneity among the primary tumors. The origin of the recurrence was traced through shared mutation patterns, and the patient carried germline variants that may predispose to carcinogenesis, along with a history of alcohol and tobacco consumption. Immune cell infiltration analysis revealed an immunosuppressive environment in all samples.

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2021)

Review Biotechnology & Applied Microbiology

Identification of neoantigens for individualized therapeutic cancer vaccines

Franziska Lang, Barbara Schroers, Martin Loewer, Oezlem Tuereci, Ugur Sahin

Summary: This Review discusses the use of tumor-specific neoantigens in anticancer vaccines and introduces the mechanisms of neoantigen T cell recognition, as well as computational approaches to predict which neoantigens might confer proficient antitumor immunity in patients. Individualized treatment approaches are required to harness the full potential of the unique cancer mutations in each patient. Computational algorithms and machine-learning tools can be used to identify mutations, prioritize T cell-recognized antigens, and design personalized vaccines for each patient.

NATURE REVIEWS DRUG DISCOVERY (2022)

Article Multidisciplinary Sciences

Large-scale analysis of SARS-CoV-2 spike-glycoprotein mutants demonstrates the need for continuous screening of virus isolates

Barbara Schrors, Pablo Riesgo-Ferreiro, Patrick Sorn, Ranganath Gudimella, Thomas Bukur, Thomas Rosler, Martin Lower, Ugur Sahin

Summary: Research has shown that SARS-CoV-2 spike protein exhibits mutations, with the majority being recurrent variants. While most spike protein mutants have low mutation rates, some variants may impact antibody binding or T-cell recognition. Additionally, high-confidence subclonal variants were identified in around 2.6% of NGS datasets, indicating potential co-infections with various strains and intra-host evolution.

PLOS ONE (2021)

Article Multidisciplinary Sciences

pH-degradable, bisphosphonate-loaded nanogels attenuate liver fibrosis by repolarization of M2-type macrophages

Leonard Kaps, Anne Huppertsberg, Niklas Choteschovsky, Adrian Klefenz, Feyza Durak, Babara Schroers, Mustafa Diken, Emma Eichler, Sebastian Rosigkeit, Sascha Schmitt, Christian Leps, Alicia Schulze, Friedrich Foerster, Ernesto Bockamp, Bruno G. De Geest, Kaloian Koynov, Hans-Joachim Raeder, Stefan Tenzer, Federico Marini, Detlef Schuppan, Lutz Nuhn

Summary: In this study, liver fibrosis progression was prevented by repolarizing M2-type macrophages towards a non-fibrotic phenotype using a pH-degradable nanogel carrier system. The nanogels efficiently delivered the drug alendronate to nonparenchymal cells of fibrotic livers, reprogramming profibrotic M2 into antifibrotic M1 macrophages and preventing liver fibrosis progression. This approach has potential implications for the treatment of diseases driven by M2-type macrophages, including cancer.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2022)

Article Oncology

Vaccination with Designed Neopeptides Induces Intratumoral, Cross-reactive CD4+T-cell Responses in Glioblastoma

Jian Wang, Tobias Weiss, Marian C. Neidert, Nora C. Toussaint, Reza Naghavian, Carla Selles Moreno, Magdalena Foege, Paula Tomas Ojer, Gioele Medici, Ivan Jelcic, Daniel Schulz, Elisabeth Rushing, Susanne Dettwiler, Barbara Schrors, Joo Heon Shin, Ron McKay, Catherine J. Wu, Andreas Lutterotti, Mireia Sospedra, Holger Moch, Erich F. Greiner, Bernd Bodenmiller, Luca Regli, Michael Weller, Patrick Roth, Roland Martin

Summary: The study developed a strategy to design neopeptides with enhanced immunogenicity through single amino acid mutations. Vaccination with these peptides resulted in immune responses from CD8+ T cells and CD4+ T cells upon tumor recurrence.

CLINICAL CANCER RESEARCH (2022)

Article Virology

CoVigator-A Knowledge Base for Navigating SARS-CoV-2 Genomic Variants

Thomas Bukur, Pablo Riesgo-Ferreiro, Patrick Sorn, Ranganath Gudimella, Johannes Hausmann, Thomas Roesler, Martin Loewer, Barbara Schroers, Ugur Sahin

Summary: CoVigator is a tool for monitoring SARS-CoV-2 mutations, providing a knowledge base, variant calling, and an interactive dashboard. It can identify and track virus mutations, offering the largest dataset on SARS-CoV-2 intrahost mutations and is available for download.

VIRUSES-BASEL (2023)

Article Immunology

MC38 colorectal tumor cell lines from two different sources display substantial differences in transcriptome, mutanome and neoantigen expression

Barbara Schroers, Brett J. Hos, Ikra G. Yildiz, Martin Loewer, Franziska Lang, Christoph Holtstraeter, Julia Becker, Mathias Vormehr, Ugur Sahin, Ferry Ossendorp, Mustafa Diken

Summary: The MC38 cell line, commonly used for colorectal carcinoma studies, has two sub-cell lines (MC38-K and MC38-L) with distinct genomic and transcriptomic differences. CD8+ T cell recognition also varies between the two sub-cell lines. This highlights the importance of accurately selecting the appropriate sub-cell line for research.

FRONTIERS IN IMMUNOLOGY (2023)

Article Cell Biology

Characterization of BV6-Induced Sensitization to the NK Cell Killing of Pediatric Rhabdomyosarcoma Spheroids

Vinzenz Saerchen, Lisa Marie Reindl, Sara Wiedemann, Senthan Shanmugalingam, Thomas Bukur, Julia Becker, Martin Suchan, Evelyn Ullrich, Meike Vogler

Summary: Although pediatric rhabdomyosarcoma (RMS) has shown improved overall survival, the aggressive subtype of alveolar RMS requires new treatment strategies. Researchers found that the use of the Smac mimetic BV6 can sensitize RMS cells to cell death and enhance killing by natural killer (NK) cells. BV6 treatment leads to degradation of inhibitors of apoptosis proteins (IAPs) and activates NF-kappa B signaling pathways in RMS cells. These findings provide insights into the mechanism of BV6 sensitization and suggest potential for combinatory cellular immunotherapy with Smac mimetics.

CELLS (2023)

Article Oncology

A TCR-like CAR Promotes Sensitive Antigen Recognition and Controlled T-cell Expansion Upon mRNA Vaccination

Matthias Birtel, Ralf-Holger Voss, Katharina Reinhard, Benjamin Rengstl, Yasmina Ouchan, Kristina Michel, Nina Hayduk, Bodo Tillmann, Rene Becker, Martin Suchan, Matthias Theobald, Petra Oehm, Oezlem Tuereci, Ugur Sahin

Summary: A novel TCAR T cell was developed, which achieved optimal chain pairing and integration into the T-cell CD3 signaling complex, resulting in enhanced antigen sensitivity and antigen-specific T-cell effector functions. Provision of costimulatory signals and combination with a nanoparticulate RNA vaccine further improved persistence, functionality, and antitumor efficacy of TCAR T cells.

CANCER RESEARCH COMMUNICATIONS (2022)

No Data Available