4.8 Article

Longitudinal assessment of tumor development using cancer avatars derived from genetically engineered pluripotent stem cells

Journal

NATURE COMMUNICATIONS
Volume 11, Issue 1, Pages -

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/s41467-020-14312-1

Keywords

-

Funding

  1. National Institutes of Health (NIH) [R01NS080939, R01HL137223, R01HD85902, R01GM114362, P30CA023100]
  2. Defeat GBM Research Collaborative, a subsidiary of the National Brain Tumor Society
  3. Ruth L. Kirschstein Institutional National Research Award [T32 GM008666]
  4. National Institute of Neurological Disorders and Stroke [NS73831]
  5. Ben and Catherine Ivy Foundation
  6. National Science Foundation [DBI-1458557]
  7. NIH/NIGMS [K12 GM068524]

Ask authors/readers for more resources

Many cellular models aimed at elucidating cancer biology do not recapitulate pathobiology including tumor heterogeneity, an inherent feature of cancer that underlies treatment resistance. Here we introduce a cancer modeling paradigm using genetically engineered human pluripotent stem cells (hiPSCs) that captures authentic cancer pathobiology. Orthotopic engraftment of the neural progenitor cells derived from hiPSCs that have been genome-edited to contain tumor-associated genetic driver mutations revealed by The Cancer Genome Atlas project for glioblastoma (GBM) results in formation of high-grade gliomas. Similar to patient-derived GBM, these models harbor inter-tumor heterogeneity resembling different GBM molecular subtypes, intra-tumor heterogeneity, and extrachromosomal DNA amplification. Re-engraftment of these primary tumor neurospheres generates secondary tumors with features characteristic of patient samples and present mutation-dependent patterns of tumor evolution. These cancer avatar models provide a platform for comprehensive longitudinal assessment of human tumor development as governed by molecular subtype mutations and lineage-restricted differentiation.

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 Multidisciplinary Sciences

Mapping clustered mutations in cancer reveals APOBEC3 mutagenesis of ecDNA

Erik N. Bergstrom, Jens Luebeck, Mia Petljak, Azhar Khandekar, Mark Barnes, Tongwu Zhang, Christopher D. Steele, Nischalan Pillay, Maria Teresa Landi, Vineet Bafna, Paul S. Mischel, Reuben S. Harris, Ludmil B. Alexandrov

Summary: This study provides a comprehensive characterization of clustered mutations and small insertions and deletions in cancer genomes. The results show that clustered mutations are enriched in driver genes and associated with differential gene expression and overall survival. Different mutational processes contribute to clustered insertions and deletions, including specific signatures in tobacco smokers and homologous-recombination-deficient cancers. APOBEC3 plays a significant role in clustered substitutions, although only a small percentage matches APOBEC3 patterns. The study also reveals the associations between the activation-induced deaminase (AID) and APOBEC3 family of deaminases with kataegis (longer strand-coordinated events).

NATURE (2022)

Article Clinical Neurology

The impact of phosphorylated PTEN at threonine 366 on cortical connectivity and behaviour

Julia M. T. Ledderose, Jorge A. Benitez, Amanda J. Roberts, Rachel Reed, Willem Bintig, Matthew E. Larkum, Robert N. S. Sachdev, Frank Furnari, Britta J. Eickholt

Summary: PTEN mutations are associated with autism spectrum disorders and regulate neuron size and connectivity in brain circuits involved in sensory processing. Knock-in mice with PTEN T366 substitution exhibit cognitive deficits and selective sensory impairments. Differences in connectivity to the primary somatosensory cortex are observed in Pten(T366A/T366A) brains.

BRAIN (2022)

Article Immunology

The long noncoding RNA Malat1 regulates CD8+ T cell differentiation by mediating epigenetic repression

Jad N. Kanbar, Shengyun Ma, Eleanor S. Kim, Nadia S. Kurd, Matthew S. Tsai, Tiffani Tysl, Christella E. Widjaja, Abigail E. Limary, Brian Yee, Zhaoren He, Yajing Hao, Xiang-Dong Fu, Gene W. Yeo, Wendy J. Huang, John T. Chang

Summary: The long noncoding RNA Malat1 affects the differentiation of effector and memory CD8(+) T cell subsets by repressing memory-associated genes through an interaction with Ezh2. This study expands our knowledge of the role of long noncoding RNAs in CD8(+) T cell biology.

JOURNAL OF EXPERIMENTAL MEDICINE (2022)

Review Cell Biology

Illuminating RNA biology through imaging

Phuong Le, Noorsher Ahmed, Gene W. Yeo

Summary: This article reviews recent advances in RNA imaging, discusses their impact on the field of RNA biology, and explores current trends and potential. Le et al. provide a comprehensive overview of technologies for imaging RNAs in fixed and live cells and the biological insights gained from these technologies.

NATURE CELL BIOLOGY (2022)

Article Multidisciplinary Sciences

Detecting tandem repeat variants in coding regions using code-adVNTR

Jonghun Park, Mehrdad Bakhtiari, Bernt Popp, Michael Wiesener, Vineet Bafna

Summary: In this study, a method called code-adVNTR was developed to detect motif count variation and small indels within VNTRs. The results showed that code-adVNTR outperformed GATK-HaplotypeCaller in calling small indels within large VNTRs and successfully characterized coding VNTRs in the 1000 genomes data.

ISCIENCE (2022)

Article Biochemistry & Molecular Biology

Variable number tandem repeats (VNTRs) as modifiers of breast cancer risk in carriers of BRCA1 185delAG

Yuan Chun Ding, Aaron W. Adamson, Mehrdad Bakhtiari, Carmina Patrick, Jonghun Park, Yael Laitman, Jeffrey N. Weitzel, Vineet Bafna, Eitan Friedman, Susan L. Neuhausen

Summary: This study investigates the role of VNTRs as causal modifiers of breast cancer risk. The results suggest that VNTRs may explain a proportion of the unexplained genetic risk for breast cancer.

EUROPEAN JOURNAL OF HUMAN GENETICS (2023)

Editorial Material Biochemistry & Molecular Biology

Programmable macromolecule-based RNA-targeting therapies to treat human neurological disorders

Kathryn H. Morelli, Aaron A. Smargon, Gene W. Yeo

Summary: Disruptions in RNA processing are crucial in the development of neurological diseases. This Perspective discusses recent advancements in RNA-targeting therapies, focusing on the progress, limitations, and opportunities of a new generation of therapies utilizing RNA binding proteins and other endogenous RNA regulatory macromolecules for the treatment of human neurological disorders.
Article Oncology

Pioneering models of pediatric brain tumors

Florina-Nicoleta Grigore, Serena Johanna Yang, Clark C. Chen, Tomoyuki Koga

Summary: Brain and other central nervous system tumors are the second most common types of cancers among children and adolescents in the United States. Despite progress in diagnosis and treatment, brain cancer remains the leading cause of death in the pediatric population. Preclinical models, such as genetically engineered mouse models and patient-derived xenografts, play a crucial role in improving therapeutic strategies and survival for these patients.

NEOPLASIA (2023)

Article Oncology

Age-Dependent Hemorrhage Risk and Obliteration Benefit After Radiosurgery for Brain Arteriovenous Malformation

Yuki Shinya, Hirotaka Hasegawa, Masahiro Shin, Kosuke Kashiwabara, Mariko Kawashima, Shunya Hanakita, Tomoyuki Koga, Satoshi Koizumi, Atsuto Katano, Yuichi Suzuki, Nobuhito Saito

Summary: This study found that age significantly affects post-treatment hemorrhage and nidus obliteration rate in patients with brain arteriovenous malformations (BAVMs) treated with stereotactic radiosurgery. Younger patients are more likely to experience reduced cerebral hemorrhages and achieve earlier nidus obliteration compared to older patients.

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2023)

Article Biochemistry & Molecular Biology

Remodeling oncogenic transcriptomes by small molecules targeting NONO

Stefan G. Kathman, Seong Joo Koo, Garrett L. Lindsey, Hsuan-Lin Her, Steven M. Blue, Haoxin Li, Steffen Jaensch, Jarrett R. Remsberg, Kay Ahn, Gene W. Yeo, Brahma Ghosh, Benjamin F. Cravatt

Summary: Researchers have identified electrophilic small molecules that can rapidly and selectively decrease the expression of transcripts encoding the androgen receptor and its splice variants in prostate cancer cells. These compounds engage a specific site in the RNA-binding protein NONO, suppressing the expression of cancer-relevant genes and impairing cancer cell proliferation. The findings suggest that NONO can be targeted by covalent small molecules to suppress protumorigenic transcriptional networks.

NATURE CHEMICAL BIOLOGY (2023)

Article Multidisciplinary Sciences

Integrated analysis of single-cell chromatin state and transcriptome identified common vulnerability despite glioblastoma heterogeneity

Ramya Raviram, Anugraha Raman, Sebastian Preissl, Jiangfang Ning, Shaoping Wu, Tomoyuki Koga, Kai Zhang, Cameron W. Brennan, Chenxu Zhu, Jens Luebeck, Kinsey Van Deynze, Jee Yun Han, Xiaomeng Hou, Zhen Ye, Anna K. Mischel, Yang Eric Li, Rongxin Fang, Tomas Baback, Joshua Mugford, Claudia Z. Han, Christopher K. Glass, Cathy L. Barr, Paul S. Mischel, Vineet Bafna, Laure Escoubet, Bing Ren, Clark C. Chen

Summary: In 2021, glioblastoma, the most common form of adult brain cancer, was reclassified by the World Health Organization into two subtypes based on genetic characteristics. The study analyzed the chromatin accessibility and transcription profiles of clinical samples from both types of tumors, revealing intratumoral heterogeneity and shared chromatin structure among tumor cells. Silencing specific transcription factors suppressed tumor growth, suggesting a potential therapeutic target for addressing the challenges associated with intratumoral heterogeneity.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2023)

Article Multidisciplinary Sciences

Fine mapping spatiotemporal mechanisms of genetic variants underlying cardiac traits and disease

Matteo P. D'Antonio, Jennifer P. D. Nguyen, Timothy D. Arthur, Hiroko A. Matsui, Agnieszka D'Antonio-Chronowska, Kelly A. Frazer

Summary: This study identifies 2,578 eQTLs associated with specific developmental stages, tissues, and cell types using spatiotemporal information of 966 RNA-seq cardiac samples. The colocalization between eQTLs and GWAS signals reveals the impact of genetic variants on cardiac traits and diseases. These findings shed light on the specific effects of cardiac GWAS variants on developmental stages, tissues, and cell types.

NATURE COMMUNICATIONS (2023)

Article Biology

Predictive data-driven modeling of C-terminal tyrosine function in the EGFR network

Jacqueline S. Gerritsen, Joseph S. Faraguna, Rudy Bonavia, Frank B. Furnari, Forest M. White

Summary: This study investigated the relationship between specific EGFR phosphorylation sites and the signaling network as well as cell response. The results showed that the EGFR network remains resilient even with multiple Y-to-F mutations in the C-terminal tail. Additionally, the study revealed previously unidentified network nodes associated with EGFR signaling. The data-driven model highlighted the signaling network nodes associated with distinct EGF-driven cell responses.

LIFE SCIENCE ALLIANCE (2023)

Article Biochemical Research Methods

FLARE: a fast and flexible workflow for identifying RNA editing foci

Eric Kofman, Brian Yee, Hugo C. Medina-Munoz, Gene W. Yeo

Summary: FLARE is a fast and flexible workflow that identifies significantly edited regions from RNA-seq data. The FLARE codebase is available at https://github.com/YeoLab/FLARE.

BMC BIOINFORMATICS (2023)

Article Cell Biology

Skipper analysis of eCLIP datasets enables sensitive detection of constrained translation factor binding sites

Evan A. Boyle, Hsuan-Lin Her, Jasmine R. Mueller, Jack T. Naritomi, Grady G. Nguyen, Gene W. Yeo

Summary: Skipper, an end-to-end workflow, utilizes an improved statistical framework to identify transcriptomic binding sites of RNA-binding proteins more accurately, providing deeper insights into post-transcriptional gene regulation.

CELL GENOMICS (2023)

No Data Available