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2.
Nat Cancer ; 2(7): 693-708, 2021 07.
Article in English | MEDLINE | ID: mdl-35121945

ABSTRACT

How targeted therapies and immunotherapies shape tumors, and thereby influence subsequent therapeutic responses, is poorly understood. In the present study, we show, in melanoma patients and mouse models, that when tumors relapse after targeted therapy with MAPK pathway inhibitors, they are cross-resistant to immunotherapies, despite the different modes of action of these therapies. We find that cross-resistance is mediated by a cancer cell-instructed, immunosuppressive tumor microenvironment that lacks functional CD103+ dendritic cells, precluding an effective T cell response. Restoring the numbers and functionality of CD103+ dendritic cells can re-sensitize cross-resistant tumors to immunotherapy. Cross-resistance does not arise from selective pressure of an immune response during evolution of resistance, but from the MAPK pathway, which not only is reactivated, but also exhibits an increased transcriptional output that drives immune evasion. Our work provides mechanistic evidence for cross-resistance between two unrelated therapies, and a scientific rationale for treating patients with immunotherapy before they acquire resistance to targeted therapy.


Subject(s)
Melanoma , Tumor Microenvironment , Animals , Humans , Immune Evasion , Immunologic Factors/therapeutic use , Immunotherapy , Melanoma/drug therapy , Mice , Neoplasm Recurrence, Local , Protein Kinase Inhibitors/pharmacology
3.
Nat Biotechnol ; 39(2): 174-178, 2021 02.
Article in English | MEDLINE | ID: mdl-32719478

ABSTRACT

We developed a functional lineage tracing tool termed CaTCH (CRISPRa tracing of clones in heterogeneous cell populations). CaTCH combines precise clonal tracing of millions of cells with the ability to retrospectively isolate founding clones alive before and during selection, allowing functional experiments. Using CaTCH, we captured rare clones representing as little as 0.001% of a population and investigated the emergence of resistance to targeted melanoma therapy in vivo.


Subject(s)
CRISPR-Cas Systems/genetics , Cell Separation , Clone Cells/metabolism , Genes, Reporter , Animals , Cell Line , Female , Humans , Melanoma/pathology , Mice, Inbred C57BL , Mitogen-Activated Protein Kinase Kinases/antagonists & inhibitors , Protein Kinase Inhibitors/pharmacology , raf Kinases/antagonists & inhibitors
4.
Science ; 360(6390): 800-805, 2018 05 18.
Article in English | MEDLINE | ID: mdl-29622725

ABSTRACT

Defining direct targets of transcription factors and regulatory pathways is key to understanding their roles in physiology and disease. We combined SLAM-seq [thiol(SH)-linked alkylation for the metabolic sequencing of RNA], a method for direct quantification of newly synthesized messenger RNAs (mRNAs), with pharmacological and chemical-genetic perturbation in order to define regulatory functions of two transcriptional hubs in cancer, BRD4 and MYC, and to interrogate direct responses to BET bromodomain inhibitors (BETis). We found that BRD4 acts as general coactivator of RNA polymerase II-dependent transcription, which is broadly repressed upon high-dose BETi treatment. At doses triggering selective effects in leukemia, BETis deregulate a small set of hypersensitive targets including MYC. In contrast to BRD4, MYC primarily acts as a selective transcriptional activator controlling metabolic processes such as ribosome biogenesis and de novo purine synthesis. Our study establishes a simple and scalable strategy to identify direct transcriptional targets of any gene or pathway.


Subject(s)
Antineoplastic Agents/pharmacology , Gene Expression Regulation, Leukemic/drug effects , Genes, Regulator , Leukemia, Myeloid/drug therapy , Nuclear Proteins/metabolism , Proteins/antagonists & inhibitors , Proto-Oncogene Proteins c-myc/metabolism , Transcription Factors/metabolism , Antineoplastic Agents/therapeutic use , Cell Cycle Proteins , Dose-Response Relationship, Drug , Humans , Leukemia, Myeloid/genetics , Molecular Targeted Therapy , Nuclear Proteins/genetics , Proto-Oncogene Proteins c-myc/genetics , Purines/biosynthesis , RNA, Messenger/biosynthesis , RNA, Messenger/genetics , Ribosomes/metabolism , Sequence Analysis, RNA , Transcription Factors/genetics , Transcription, Genetic
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