4.7 Article

Genetic subclone architecture of tumor clone-initiating cells in colorectal cancer

期刊

JOURNAL OF EXPERIMENTAL MEDICINE
卷 214, 期 7, 页码 2073-2087

出版社

ROCKEFELLER UNIV PRESS
DOI: 10.1084/jem.20162017

关键词

-

资金

  1. Deutsche Forschungsgemeinschaft [KFO227/BA4806/1-2, SFB873]
  2. Baden-Wurttemberg Stiftung [P-LS-ASII/33]
  3. NCT 3.0 Precision Oncology Program [NCT3.0_2015.4 TransOnco, NCT3.0_2015.54 DysregPT]
  4. EU Framework Program Horizon 2020 (TRA NSC AN-2 ERA-NET)
  5. EU Framework Program Horizon 2020 (TACTIC consortium)
  6. Deutsche Krebshilfe Prioroty program Translational Oncology (Colon-Resist-Net)
  7. Bundesministerium fur Bildung und Forschung [031A537A, 031A537C]
  8. Deutsches Krebsforschungszentrum
  9. Heidelberg School of Oncology
  10. [P002]

向作者/读者索取更多资源

A hierarchically organized cell compartment drives colorectal cancer (CRC) progression. Genetic barcoding allows monitoring of the clonal output of tumorigenic cells without prospective isolation. In this study, we asked whether tumor clone-initiating cells (TcICs) were genetically heterogeneous and whether differences in self-renewal and activation reflected differential kinetics among individual subclones or functional hierarchies within subclones. Monitoring genomic subclone kinetics in three patient tumors and corresponding serial xenografts and spheroids by high-coverage whole-genome sequencing, clustering of genetic aberrations, subclone combinatorics, and mutational signature analysis revealed at least two to four genetic subclones per sample. Long-term growth in serial xenografts and spheroids was driven by multiple genomic subclones with profoundly differing growth dynamics and hence different quantitative contributions over time. Strikingly, genetic barcoding demonstrated stable functional heterogeneity of CRC TcICs during serial xenografting despite near-complete changes in genomic subclone contribution. This demonstrates that functional heterogeneity is, at least frequently, present within genomic subclones and independent of mutational subclone differences.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Correction Biotechnology & Applied Microbiology

Butler enables rapid cloud-based analysis of thousands of human genomes (vol 79, pg 134, 2019)

Sergei Yakneen, Sebastian M. Waszak, Michael Gertz, Jan O. Korbel, Brice Aminou, Javier Bartolome, Keith A. Boroevich, Rich Boyce, Angela N. Brooks, Alex Buchanan, Ivo Buchhalter, Adam P. Butler, Niall J. Byrne, Andy Cafferkey, Peter J. Campbell, Zhaohong Chen, Sunghoon Cho, Wan Choi, Peter Clapham, Brandi N. Davis-Dusenbery, Francisco M. De La Vega, Jonas Demeulemeester, Michelle T. Dow, Lewis Jonathan Dursi, Juergen Eils, Roland Eils, Kyle Ellrott, Claudiu Farcas, Francesco Favero, Nodirjon Fayzullaev, Vincent Ferretti, Paul Flicek, Nuno A. Fonseca, Josep Ll. Gelpi, Gad Getz, Bob Gibson, Robert L. Grossman, Olivier Harismendy, Allison P. Heath, Michael C. Heinold, Julian M. Hess, Oliver Hofmann, Jongwhi H. Hong, Thomas J. Hudson, Barbara Hutter, Carolyn M. Hutter, Daniel Hubschmann, Seiya Imoto, Sinisa Ivkovic, Seung-Hyup Jeon, Wei Jiao, Jongsun Jung, Rolf Kabbe, Andre Kahles, Jules N. A. Kerssemakers, Hyung-Lae Kim, Hyunghwan Kim, Jihoon Kim, Youngwook Kim, Kortine Kleinheinz, Michael Koscher, Antonios Koures, Milena Kovacevic, Chris Lawerenz, Ignaty Leshchiner, Jia Liu, Dimitri Livitz, George L. Mihaiescu, Sanja Mijalkovic, Ana Mijalkovic Lazic, Satoru Miyano, Naoki Miyoshi, Hardeep K. Nahal-Bose, Hidewaki Nakagawa, Mia Nastic, Steven J. Newhouse, Jonathan Nicholson, Brian D. O'Connor, David Ocana, Kazuhiro Ohi, Lucila Ohno-Machado, Larsson Omberg, B. F. Francis Ouellette, Nagarajan Paramasivam, Marc D. Perry, Todd D. Pihl, Manuel Prinz, Montserrat Puiggros, Petar Radovic, Keiran M. Raine, Esther Rheinbay, Mara Rosenberg, Romina Royo, Gunnar Ratsch, Gordon Saksena, Matthias Schlesner, Solomon I. Shorser, Charles Short, Heidi J. Sofia, Jonathan Spring, Lincoln D. Stein, Adam J. Struck, Grace Tiao, Nebojsa Tijanic, David Torrents, Peter Van Loo, Miguel Vazquez, David Vicente, Jeremiah A. Wala, Zhining Wang, Sebastian M. Waszak, Joachim Weischenfeldt, Johannes Werner, Ashley Williams, Youngchoon Woo, Adam J. Wright, Qian Xiang, Liming Yang, Denis Yuen, Christina K. Yung, Junjun Zhang, Jan O. Korbel

NATURE BIOTECHNOLOGY (2023)

Article Cell & Tissue Engineering

Inflammatory exposure drives long-lived impairment of hematopoietic stem cell self-renewal activity and accelerated aging

Ruzhica Bogeska, Ana-Matea Mikecin, Paul Kaschutnig, Malak Fawaz, Marleen Buechler-Schaeff, Duy Le, Miguel Ganuza, Angelika Vollmer, Stella Paffenholz, Noboru Asada, Esther Rodriguez-Correa, Felix Frauhammer, Florian Buettner, Melanie Ball, Julia Knoch, Sina Staeble, Dagmar Walter, Amelie Petri, Martha J. Carreno-Gonzalez, Vinona Wagner, Benedikt Brors, Simon Haas, Daniel B. Lipka, Marieke A. G. Essers, Vivienn Weru, Tim Holland-Letz, Jan-Philipp Mallm, Karsten Rippe, Stephan Kraemer, Matthias Schlesner, Shannon McKinney Freeman, Maria Carolina Florian, Katherine Y. King, Paul S. Frenette, Michael A. Rieger, Michael D. Milsom

Summary: Infection or inflammation may lead to irreversible depletion of functional hematopoietic stem cells, resulting in long-term effects on tissue maintenance and regeneration.

CELL STEM CELL (2022)

Article Multidisciplinary Sciences

Comprehensive genomic and epigenomic analysis in cancer of unknown primary guides molecularly- informed therapies despite heterogeneity

Lino Moehrmann, Maximilian Werner, Malgorzata Oles, Andreas Mock, Sebastian Uhrig, Arne Jahn, Simon Kreutzfeldt, Martina Froehlich, Barbara Hutter, Nagarajan Paramasivam, Daniela Richter, Katja Beck, Ulrike Winter, Katrin Pfuetze, Christoph E. Heilig, Veronica Teleanu, Daniel B. Lipka, Marc Zapatka, Dorothea Hanf, Catrin List, Michael Allgaeuer, Roland Penzel, Gina Ruter, Ivan Jelas, Rainer Hamacher, Johanna Falkenhorst, Sebastian Wagner, Christian H. Brandts, Melanie Boerries, Anna L. Illert, Klaus H. Metzeler, C. Benedikt Westphalen, Alexander Desuki, Thomas Kindler, Gunnar Folprecht, Wilko Weichert, Benedikt Brors, Albrecht Stenzinger, Evelin Schroeck, Daniel Huebschmann, Peter Horak, Christoph Heining, Stefan Froehling, Hanno Glimm

Summary: We conducted comprehensive molecular characterization of 70 patients with cancer of unknown primary and identified substantial mutational heterogeneity and commonly mutated cancer-related genes. Our data demonstrate the clinical value of molecular analysis and recommend off-label therapy for a subset of patients, resulting in improved progression-free survival.

NATURE COMMUNICATIONS (2022)

Article Biochemistry & Molecular Biology

Comparison of extraction methods for intracellular metabolomics of human tissues

Carolin Andresen, Tobias Boch, Hagen M. Gegner, Nils Mechtel, Andreas Narr, Emrullah Birgin, Erik Rasbach, Nuh Rahbari, Andreas Trumpp, Gernot Poschet, Daniel Huebschmann

Summary: This study compares ten extraction protocols in four human sample types to detect and quantify different metabolites. The results show that extraction efficiency and repeatability vary across protocols, tissues, and chemical classes of metabolites. The coverage of extracted metabolites depends on the solvents used, which has implications for measuring different sample types and metabolic compounds of interest.

FRONTIERS IN MOLECULAR BIOSCIENCES (2022)

Article Biochemistry & Molecular Biology

Integrated single-cell profiling dissects cell-state-specific enhancer landscapes of human tumor-infiltrating CD8+T cells

Dania Riegel, Elena Romero-Fernandez, Malte Simon, Akinbami Raphael Adenugba, Katrin Singer, Roman Mayr, Florian Weber, Mark Kleemann, Charles D. Imbusch, Marina Kreutz, Benedikt Brors, Ines Ugele, Jens M. Werner, Peter J. Siska, Christian Schmidl

Summary: By integrating single-cell chromatin accessibility and RNA-seq data, we identified the heterogeneous functional and dysfunctional states of CD8+ tumor-infiltrating lymphocytes and revealed common chromatin remodeling and key regulatory factors involved in this process.

MOLECULAR CELL (2023)

Article Biochemistry & Molecular Biology

aRgus: Multilevel visualization of non-synonymous single nucleotide variants & advanced pathogenicity score modeling for genetic vulnerability assessment

Julian Schroeter, Tal Dattner, Jennifer Huellein, Alejandra Jayme, Vincent Heuveline, Georg F. Hoffmann, Stefan Koelker, Dominic Lenz, Thomas Opladen, Bernt Popp, Christian P. Schaaf, Christian Staufner, Steffen Syrbe, Sebastian Uhrig, Daniel Huebschmann, Heiko Brennenstuhl

Summary: The use of high-throughput sequencing techniques is producing a large number of disease-associated variants and candidate genes. Integration of genetic, protein, functional, and conservation knowledge is necessary to assess their relevance and prioritize further studies. However, accessing the required information from different databases can be challenging, leading to reduced accessibility for potential users. Here, we present a standalone webtool called aRgus, which allows simple extraction and intuitive visualization of multi-layered gene, protein, variant, and variant effect prediction data, enabling timely assessment of protein regions vulnerable to variation and providing applications in variant interpretation and experimental design.

COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2023)

Article Oncology

COGNITION: a prospective precision oncology trial for patients with early breast cancer at high risk following neoadjuvant chemotherapy

C. Pixberg, M. Zapatka, M. Hlevnjak, S. Benedetto, J. P. Suppelna, J. Heil, K. Smetanay, L. Michel, C. Fremd, V Koerber, M. Ruebsam, L. Buschhorn, S. Heublein, B. Schaefgen, M. Golatta, C. Gomez, A. von Au, M. Wallwiener, S. Wolf, N. Dikow, C. Schaaf, E. Gutjahr, M. Allgaeuer, A. Stenzinger, K. Pfuetze, R. Kirsten, D. Huebschmann, H-P Sinn, D. Jaeger, A. Trumpp, R. Schlenk, T. Hoefer, V Thewes, A. Schneeweiss, P. Lichter

Summary: COGNITION is a diagnostic registry trial that aims to identify biomarkers in patients with early breast cancer who are at high risk for relapse. It utilizes genomic and transcriptomic profiling to guide targeted therapy after standard neoadjuvant chemotherapy. The concept offers novel therapy options and aims to increase cure rates for high-risk early breast cancer patients.

ESMO OPEN (2022)

Article Hematology

Retained functional normal and preleukemic HSCs at diagnosis are associated with good prognosis in DNMT3AmutNPM1mut AMLs

Elisa Donato, Nadia Correia, Carolin Andresen, Darja Karpova, Roberto Wuerth, Corinna Klein, Markus Sohn, Adriana Przybylla, Petra Zeisberger, Kathrin Rothfelder, Helmut Salih, Halvard Bonig, Sebastian Stasik, Christoph Roellig, Anna Dolnik, Lars Bullinger, Frank Buchholz, Christian Thiede, Daniel Huebschmann, Andreas Trumpp

Summary: This study proposes a novel flow cytometry sorting strategy for CD34 neg AML subtypes, enriching for leukemic stem cells (LSCs) independently of CD34 status by positive selection for GPR56 and negative selection for NKG2D ligands. The functional reconstitution capacity and transcriptomes of CD34- and CD34+ LSCs are shown to be similar, supporting the concept of phenotypic plasticity. Patients with AML who still retain functional hematopoietic stem cells (HSCs) at the time of diagnosis have longer relapse-free and overall survival.

BLOOD ADVANCES (2023)

Article Oncology

Targeted therapy of advanced parathyroid carcinoma guided by genomic and transcriptomic profiling

Maria-Veronica Teleanu, Carmina T. Fuss, Nagarajan Paramasivam, Sebastian Pirmann, Andreas Mock, Christoph Terkamp, Stefan Kircher, Laura-Sophie Landwehr, Christina Lenschow, Nicolas Schlegel, Albrecht Stenzinger, Arne Jahn, Martin Fassnacht, Hanno Glimm, Daniel Huebschmann, Stefan Froehling, Matthias Kroiss

Summary: We performed whole-genome and RNA sequencing on four advanced parathyroid carcinoma patients to identify molecular alterations for clinical management. Two experimental therapies, immune checkpoint inhibition with pembrolizumab and multi-receptor tyrosine kinase inhibition with lenvatinib, showed promising results. Our data also provided new insights into the molecular landscape of parathyroid carcinoma.

MOLECULAR ONCOLOGY (2023)

Article Infectious Diseases

Analysis of acute COVID-19 including chronic morbidity: protocol for the deep phenotyping National Pandemic Cohort Network in Germany (NAPKON-HAP)

Fridolin Steinbeis, Charlotte Thibeault, Sarah Steinbrecher, Yvonne Ahlgrimm, Ira An Haack, Dietrich August, Beate Balzuweit, Carla Bellinghausen, Sarah Berger, Irina Chaplinskaya-Sobol, Oliver Cornely, Patrick Doeblin, Matthias Endres, Claudia Fink, Carsten Finke, Sandra Frank, Sabine Hanss, Tim Hartung, Johannes Christian Hellmuth, Susanne Herold, Peter Heuschmann, Jan Heyckendorf, Ralf Heyder, Stefan Hippenstiel, Wolfgang Hoffmann, Sebastian Ulrich Kelle, Philipp Knape, Philipp Koehler, Lucie Kretzler, David Manuel Leistner, Jasmin Lienau, Roberto Lorbeer, Bettina Lorenz-Depiereux, Constanze Dorothea Luettke, Knut Mai, Uta Merle, Lil Antonia Meyer-Arndt, Olga Miljukov, Maximilian Muenchhoff, Moritz Mueller-Plathe, Julia Neuhann, Hannelore Neuhauser, Alexandra Nieters, Christian Otte, Daniel Pape, Rafaela Maria Pinto, Christina Pley, Annett Pudszuhn, Philipp Reuken, Siegberg Rieg, Petra Ritter, Gernot Rohde, Maria Roennefarth, Michael Ruzicka, Jens Schaller, Anne Schmidt, Sein Schmidt, Verena Schwachmeyer, Georg Schwanitz, Werner Seeger, Dana Stahl, Nicole Stobaeus, Hans Christian Stubbe, Norbert Suttorp, Bettina Temmesfeld, Sylvia Thun, Paul Triller, Frederik Trinkmann, Istvan Vadasz, Heike Valentin, Maria Vehreschild, Christof von Kalle, Marie von Lilienfeld-Toal, Joachim Weber, Tobias Welte, Christian Wildberg, Robert Wizimirski, Saskia Zvork, Leif Erik Sander, Janne Vehreschild, Thomas Zoller, Florian Kurth, Martin Witzenrath

Summary: The NAPKON-HAP study is a multi-centered observational study aimed at providing comprehensive data and biospecimen collection for the investigation of the pathophysiology and pathology of COVID-19. It will contribute significant scientific insights and high-quality data to aid researchers in understanding the acute and long-term outcomes of the disease.

INFECTION (2023)

Article Biochemical Research Methods

rGREAT: an R/bioconductor package for functional enrichment on genomic regions

Zuguang Gu, Daniel Huebschmann

Summary: rGREAT is a new R/Bioconductor package that implements the GREAT algorithm locally, providing updated annotation data, support for numerous organisms and gene set collections, and extensibility for user customization.

BIOINFORMATICS (2023)

Article Genetics & Heredity

simplifyEnrichment: A Bioconductor Package for Clustering and Visualizing Functional Enrichment Results

Zuguang Gu, Daniel Hubschmann Bschmann

Summary: Functional enrichment analysis is an important bioinformatics method for evaluating the biological importance of gene lists. The researchers proposed a new method called binary cut for clustering functional terms, which showed consistent similarities within clusters and exclusivity between clusters. They demonstrated the effectiveness of binary cut through comprehensive benchmarks on simulated and real-world datasets.

GENOMICS PROTEOMICS & BIOINFORMATICS (2023)

Article Urology & Nephrology

A self-supervised vision transformer to predict survival from histopathology in renal cell carcinoma

Frederik Wessels, Max Schmitt, Eva Krieghoff-Henning, Malin Nientiedt, Frank Waldbillig, Manuel Neuberger, Maximilian C. Kriegmair, Karl-Friedrich Kowalewski, Thomas S. Worst, Matthias Steeg, Zoran V. Popovic, Timo Gaiser, Christof von Kalle, Jochen S. Utikal, Stefan Frohling, Maurice S. Michel, Philipp Nuhn, Titus J. Brinker

Summary: A interpretable deep learning model, DINO-ViT, was developed and validated to predict overall and disease-specific survival in ccRCC. The model achieved significant risk stratification and showed good interpretability by extracting image features from nuclei, cytoplasm, and peritumoural stroma.

WORLD JOURNAL OF UROLOGY (2023)

Article Hematology

Focal structural variants revealed by whole genome sequencing disrupt the histone demethylase KDM4C in B-cell lymphomas

Cristina Lopez, Nikolai Schleussner, Stephan H. Bernhart, Kortine Kleinheinz, Stephanie Sungalee, Henrike L. Sczakiel, Helene Kretzmer, Umut H. Toprak, Selina Glaser, Rabea Wagener, Ole Ammerpohl, Susanne Bens, Maciej Giefing, Juan C. Gonzalez Sanchez, Gordana Apic, Daniel Huebschmann, Martin Janz, Markus Kreuz, Anja Mottok, Judith M. Mueller, Julian Seufert, Steve Hoffmann, Jan O. Korbel, Robert B. Russell, Roland Schuele, Lorenz Truemper, Wolfram Klapper, Bernhard Radlwimmer, Peter Lichter, Ralf Kueppers, Matthias Schlesner, Stephan Mathas, Reiner Siebert

Summary: Histone methylation-modifiers, including EZH2 and KMT2D, are frequently altered in B-cell lymphomas. In this study, we examined the whole genome and transcriptome data of 186 cases and identified recurrent alterations in KDM4C, a histone demethylase encoding gene on chromosome 9p24. We demonstrated that these structural variants in KDM4C result in loss-of-function and provide evidence that KDM4C can act as a tumor suppressor. Thus, our findings expand the mutational landscape of lymphomas and highlight the importance of KDM4C in B-cell derived lymphomas.

HAEMATOLOGICA (2023)

Article Oncology

Implementation of Whole-Genome and Transcriptome Sequencing Into Clinical Cancer Care

Edwin Cuppen, Olivier Elemento, Richard Rosenquist, Svetlana Nikic, Maarten IJzerman, Isabelle Durand Zaleski, Geert Frederix, Lars-Ake Levin, Charles G. Mullighan, Reinhard Buettner, Trevor J. Pugh, Sean Grimmond, Carlos Caldas, Fabrice Andre, Ilse Custers, Elias Campo, Hans van Snellenberg, Anna Schuh, Hidewaki Nakagawa, Christof von Kalle, Torsten Haferlach, Stefan Froehling, Vaidehi Jobanputra

Summary: The combination of whole-genome and transcriptome sequencing (WGTS) is a comprehensive precision diagnostic test that is expected to transform diagnosis and treatment for cancer patients. However, there are barriers to the implementation and widespread adoption of this test, including considerations of utility in different cancer types, cost-effectiveness and affordability.

JCO PRECISION ONCOLOGY (2022)

暂无数据