The drug-induced phenotypic landscape of colorectal cancer organoids DOI Creative Commons
Johannes Betge, Niklas Rindtorff,

Jan Sauer

et al.

Nature Communications, Journal Year: 2022, Volume and Issue: 13(1)

Published: June 6, 2022

Abstract Patient-derived organoids resemble the biology of tissues and tumors, enabling ex vivo modeling human diseases. They have heterogeneous morphologies with unclear biological causes relationship to treatment response. Here, we use high-throughput, image-based profiling quantify phenotypes over 5 million individual colorectal cancer after >500 small molecules. Integration data using multi-omics identifies axes morphological variation across organoids: Organoid size is linked IGF1 receptor signaling, cystic vs. solid organoid architecture associated LGR5 + stemness. Treatment-induced morphology reflects viability, drug mechanism action, biologically interpretable. Inhibition MEK leads reorganization increases expression , while inhibition mTOR induces signaling. In conclusion, identify shared for morphology, their underlying mechanisms, pharmacological interventions ability move along them.

Language: Английский

Metastasis DOI Creative Commons

Stefanie Gerstberger,

Qingwen Jiang, Karuna Ganesh

et al.

Cell, Journal Year: 2023, Volume and Issue: 186(8), P. 1564 - 1579

Published: April 1, 2023

Language: Английский

Citations

383

Functional precision oncology: Testing tumors with drugs to identify vulnerabilities and novel combinations DOI Creative Commons
Anthony Letai, Patrick Bhola, Alana L. Welm

et al.

Cancer Cell, Journal Year: 2021, Volume and Issue: 40(1), P. 26 - 35

Published: Dec. 23, 2021

Functional precision medicine is a strategy whereby live tumor cells from affected individuals are directly perturbed with drugs to provide immediately translatable, personalized information guide therapy. The heterogeneity of human cancer has led the realization that approaches needed improve treatment outcomes. Precision oncology traditionally used static features dictate which therapies should be used. Static can include expression key targets or genomic analysis mutations identify therapeutically targetable "drivers." Although surprisingly small proportion derive clinical benefit approach, functional additional regarding vulnerabilities. We discuss emerging technologies for as well limitations and challenges in using these assays trials will necessary determine whether outcomes eventually become standard tool oncology.

Language: Английский

Citations

188

Artificial intelligence aids in development of nanomedicines for cancer management DOI
Ping Tan, Xiaoting Chen, Hu Zhang

et al.

Seminars in Cancer Biology, Journal Year: 2023, Volume and Issue: 89, P. 61 - 75

Published: Jan. 20, 2023

Language: Английский

Citations

158

Precision treatment in advanced hepatocellular carcinoma DOI Creative Commons
Xupeng Yang, Chen Yang, Shu Zhang

et al.

Cancer Cell, Journal Year: 2024, Volume and Issue: 42(2), P. 180 - 197

Published: Feb. 1, 2024

The past decade has witnessed significant advances in the systemic treatment of advanced hepatocellular carcinoma (HCC). Nevertheless, newly developed strategies have not achieved universal success and HCC patients frequently exhibit therapeutic resistance to these therapies. Precision represents a paradigm shift cancer recent years. This approach utilizes unique molecular characteristics individual patient personalize modalities, aiming maximize efficacy while minimizing side effects. Although precision shown multiple types, its application remains infancy. In this review, we discuss key aspects HCC, including biomarkers, classifications, heterogeneity tumor microenvironment. We also propose future directions, ranging from revolutionizing current methodologies personalizing therapy through functional assays, which will accelerate next phase advancements area.

Language: Английский

Citations

150

Human organoids: New strategies and methods for analyzing human development and disease DOI Creative Commons
Nina S. Corsini, Juergen A. Knoblich

Cell, Journal Year: 2022, Volume and Issue: 185(15), P. 2756 - 2769

Published: July 1, 2022

For decades, insight into fundamental principles of human biology and disease has been obtained primarily by experiments in animal models. While this allowed researchers to understand many biological processes great detail, some developmental mechanisms have proven difficult study due inherent species differences. The advent organoid technology more than 10 years ago established laboratory-grown organ tissues as an additional model system recapitulate human-specific aspects biology. use 3D organoids, well other advances single-cell technologies, revealed unprecedented insights mechanisms, especially those that distinguish humans from species. This review highlights novel with a focus on how generated better understanding development disease.

Language: Английский

Citations

106

Towards precision oncology with patient-derived xenografts DOI
Eugenia R. Zanella, Elena Grassi, Livio Trusolino

et al.

Nature Reviews Clinical Oncology, Journal Year: 2022, Volume and Issue: 19(11), P. 719 - 732

Published: Sept. 23, 2022

Language: Английский

Citations

90

Human Bone Marrow Organoids for Disease Modeling, Discovery, and Validation of Therapeutic Targets in Hematologic Malignancies DOI Creative Commons
Abdullah O. Khan, Antonio Rodriguez-Romera, Jasmeet S. Reyat

et al.

Cancer Discovery, Journal Year: 2022, Volume and Issue: 13(2), P. 364 - 385

Published: Nov. 9, 2022

Abstract A lack of models that recapitulate the complexity human bone marrow has hampered mechanistic studies normal and malignant hematopoiesis validation novel therapies. Here, we describe a step-wise, directed-differentiation protocol in which organoids are generated from induced pluripotent stem cells committed to mesenchymal, endothelial, hematopoietic lineages. These 3D structures capture key features marrow—stroma, lumen-forming sinusoids, myeloid including proplatelet-forming megakaryocytes. The supported engraftment survival patients with blood malignancies, cancer types notoriously difficult maintain ex vivo. Fibrosis organoid occurred following TGFβ stimulation myelofibrosis but not healthy donor–derived cells, validating this platform as powerful tool for their interactions within marrow–like milieu. This enabling technology is likely accelerate discovery prioritization targets disorders cancers. Significance: We present supports growth primary lymphoid model allows cancers context microenvironment provides much-needed vivo new therapeutics. See related commentary by Derecka Crispino, p. 263. article highlighted In Issue feature, 247

Language: Английский

Citations

89

The Lancet Breast Cancer Commission DOI
Charlotte E. Coles, Helena Earl, Benjamin O. Anderson

et al.

The Lancet, Journal Year: 2024, Volume and Issue: 403(10439), P. 1895 - 1950

Published: April 15, 2024

Language: Английский

Citations

69

Cancer organoids 2.0: modelling the complexity of the tumour immune microenvironment DOI
Roel Polak, Elisa Zhang, Calvin J. Kuo

et al.

Nature reviews. Cancer, Journal Year: 2024, Volume and Issue: 24(8), P. 523 - 539

Published: July 8, 2024

Language: Английский

Citations

65

Pharmaco-proteogenomic characterization of liver cancer organoids for precision oncology DOI
Shuyi Ji, Feng Li, Zile Fu

et al.

Science Translational Medicine, Journal Year: 2023, Volume and Issue: 15(706)

Published: July 26, 2023

Organoid models have the potential to recapitulate biological and pharmacotypic features of parental tumors. Nevertheless, integrative pharmaco-proteogenomics analysis for drug response biomarker investigation precision therapy patients with liver cancer are still lacking. We established a patient-derived organoid biobank (LICOB) that comprehensively represents histological molecular characteristics various types as determined by multiomics profiling, including genomic, epigenomic, transcriptomic, proteomic analysis. Proteogenomic profiling LICOB identified proliferative metabolic subtypes linked patient prognosis. High-throughput screening revealed distinct patterns each subtype were associated specific signatures. Through analyses data, we responses predicted combinations personalized treatment. The synergistic inhibition effect mTOR inhibitor temsirolimus multitargeted tyrosine kinase lenvatinib was validated in organoids xenografts models. also provide user-friendly web portal help serve biomedical research community. Our study is rich resource biology pharmacological dependencies may enable functional medicine.

Language: Английский

Citations

64