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1.
Nat Commun ; 15(1): 3741, 2024 May 03.
Artigo em Inglês | MEDLINE | ID: mdl-38702301

RESUMO

Targeted therapy is effective in many tumor types including lung cancer, the leading cause of cancer mortality. Paradigm defining examples are targeted therapies directed against non-small cell lung cancer (NSCLC) subtypes with oncogenic alterations in EGFR, ALK and KRAS. The success of targeted therapy is limited by drug-tolerant persister cells (DTPs) which withstand and adapt to treatment and comprise the residual disease state that is typical during treatment with clinical targeted therapies. Here, we integrate studies in patient-derived and immunocompetent lung cancer models and clinical specimens obtained from patients on targeted therapy to uncover a focal adhesion kinase (FAK)-YAP signaling axis that promotes residual disease during oncogenic EGFR-, ALK-, and KRAS-targeted therapies. FAK-YAP signaling inhibition combined with the primary targeted therapy suppressed residual drug-tolerant cells and enhanced tumor responses. This study unveils a FAK-YAP signaling module that promotes residual disease in lung cancer and mechanism-based therapeutic strategies to improve tumor response.


Assuntos
Carcinoma Pulmonar de Células não Pequenas , Resistencia a Medicamentos Antineoplásicos , Neoplasias Pulmonares , Transdução de Sinais , Fatores de Transcrição , Proteínas de Sinalização YAP , Humanos , Neoplasias Pulmonares/tratamento farmacológico , Neoplasias Pulmonares/genética , Neoplasias Pulmonares/metabolismo , Transdução de Sinais/efeitos dos fármacos , Fatores de Transcrição/metabolismo , Fatores de Transcrição/genética , Carcinoma Pulmonar de Células não Pequenas/tratamento farmacológico , Carcinoma Pulmonar de Células não Pequenas/genética , Carcinoma Pulmonar de Células não Pequenas/metabolismo , Carcinoma Pulmonar de Células não Pequenas/patologia , Proteínas de Sinalização YAP/metabolismo , Linhagem Celular Tumoral , Animais , Resistencia a Medicamentos Antineoplásicos/genética , Proteínas Adaptadoras de Transdução de Sinal/metabolismo , Proteínas Adaptadoras de Transdução de Sinal/genética , Neoplasia Residual , Camundongos , Quinase 1 de Adesão Focal/metabolismo , Quinase 1 de Adesão Focal/genética , Receptores ErbB/metabolismo , Receptores ErbB/genética , Quinase do Linfoma Anaplásico/metabolismo , Quinase do Linfoma Anaplásico/genética , Quinase do Linfoma Anaplásico/antagonistas & inibidores , Proteínas Proto-Oncogênicas p21(ras)/genética , Proteínas Proto-Oncogênicas p21(ras)/metabolismo , Proteína-Tirosina Quinases de Adesão Focal/metabolismo , Antineoplásicos/uso terapêutico , Antineoplásicos/farmacologia , Ensaios Antitumorais Modelo de Xenoenxerto
2.
Science ; 374(6563): eabf3066, 2021 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-34591612

RESUMO

Cancers have been associated with a diverse array of genomic alterations. To help mechanistically understand such alterations in breast-invasive carcinoma, we applied affinity purification­mass spectrometry to delineate comprehensive biophysical interaction networks for 40 frequently altered breast cancer (BC) proteins, with and without relevant mutations, across three human breast cell lines. These networks identify cancer-specific protein-protein interactions (PPIs), interconnected and enriched for common and rare cancer mutations, that are substantially rewired by the introduction of key BC mutations. Our analysis identified BPIFA1 and SCGB2A1 as PIK3CA-interacting proteins, which repress PI3K-AKT signaling, and uncovered USP28 and UBE2N as functionally relevant interactors of BRCA1. We also show that the protein phosphatase 1 regulatory subunit spinophilin interacts with and regulates dephosphorylation of BRCA1 to promote DNA double-strand break repair. Thus, PPI landscapes provide a powerful framework for mechanistically interpreting disease genomic data and can identify valuable therapeutic targets.


Assuntos
Neoplasias da Mama/metabolismo , Proteínas de Neoplasias/metabolismo , Mapas de Interação de Proteínas , Neoplasias da Mama/genética , Linhagem Celular Tumoral , Feminino , Humanos , Espectrometria de Massas , Mutação , Proteínas de Neoplasias/genética , Proteínas de Neoplasias/isolamento & purificação , Purificação por Afinidade em Tandem
3.
Science ; 374(6563): eabf3067, 2021 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-34591613

RESUMO

A major goal of cancer research is to understand how mutations distributed across diverse genes affect common cellular systems, including multiprotein complexes and assemblies. Two challenges­how to comprehensively map such systems and how to identify which are under mutational selection­have hindered this understanding. Accordingly, we created a comprehensive map of cancer protein systems integrating both new and published multi-omic interaction data at multiple scales of analysis. We then developed a unified statistical model that pinpoints 395 specific systems under mutational selection across 13 cancer types. This map, called NeST (Nested Systems in Tumors), incorporates canonical processes and notable discoveries, including a PIK3CA-actomyosin complex that inhibits phosphatidylinositol 3-kinase signaling and recurrent mutations in collagen complexes that promote tumor proliferation. These systems can be used as clinical biomarkers and implicate a total of 548 genes in cancer evolution and progression. This work shows how disparate tumor mutations converge on protein assemblies at different scales.


Assuntos
Proteínas de Neoplasias/genética , Proteínas de Neoplasias/metabolismo , Neoplasias/genética , Neoplasias/metabolismo , Mapas de Interação de Proteínas/genética , Genes Neoplásicos , Humanos , Mutação , Mapeamento de Interação de Proteínas/métodos
4.
Science ; 374(6563): eabf2911, 2021 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-34591642

RESUMO

We outline a framework for elucidating tumor genetic complexity through multidimensional protein-protein interaction maps and apply it to enhancing our understanding of head and neck squamous cell carcinoma. This network uncovers 771 interactions from cancer and noncancerous cell states, including WT and mutant protein isoforms. Prioritization of cancer-enriched interactions reveals a previously unidentified association of the fibroblast growth factor receptor tyrosine kinase 3 with Daple, a guanine-nucleotide exchange factor, resulting in activation of Gαi- and p21-activated protein kinase 1/2 to promote cancer cell migration. Additionally, we observe mutation-enriched interactions between the human epidermal growth factor receptor 3 (HER3) receptor tyrosine kinase and PIK3CA (the alpha catalytic subunit of phosphatidylinositol 3-kinase) that can inform the response to HER3 inhibition in vivo. We anticipate that the application of this framework will be valuable for translating genetic alterations into a molecular and clinical understanding of the underlying biology of many disease areas.


Assuntos
Carcinoma de Células Escamosas/metabolismo , Classe I de Fosfatidilinositol 3-Quinases/genética , Classe I de Fosfatidilinositol 3-Quinases/metabolismo , Resistencia a Medicamentos Antineoplásicos/genética , Neoplasias de Cabeça e Pescoço/metabolismo , Mapas de Interação de Proteínas , Animais , Carcinoma de Células Escamosas/genética , Linhagem Celular Tumoral , Movimento Celular , Feminino , Neoplasias de Cabeça e Pescoço/genética , Humanos , Peptídeos e Proteínas de Sinalização Intracelular/metabolismo , Camundongos , Camundongos Nus , Proteínas dos Microfilamentos/metabolismo , Mutação , Receptor Tipo 3 de Fator de Crescimento de Fibroblastos/metabolismo , Ensaios Antitumorais Modelo de Xenoenxerto
5.
Mol Biol Cell ; 28(15): 2135-2145, 2017 Jul 15.
Artigo em Inglês | MEDLINE | ID: mdl-28539409

RESUMO

The ability of the small GTPase Cdc42 to regulate diverse cellular processes depends on tight spatial control of its activity. Cdc42 function is best understood at the plasma membrane (PM), where it regulates cytoskeletal organization and cell polarization. Active Cdc42 has also been detected at the Golgi, but its role and regulation at this organelle are only partially understood. Here we analyze the spatial distribution of Cdc42 activity by moni-toring the dynamics of the Cdc42 FLARE biosensor using the phasor approach to FLIM-FRET. Phasor analysis revealed that Cdc42 is active at all Golgi cisternae and that this activity is controlled by Tuba and ARHGAP10, two Golgi-associated Cdc42 regulators. To our surprise, FGD1, another Cdc42 GEF at the Golgi, was not required for Cdc42 regulation at the Golgi, although its depletion decreased Cdc42 activity at the PM. Similarly, changes in Golgi morphology did not affect Cdc42 activity at the Golgi but were associated with a substantial reduction in PM-associated Cdc42 activity. Of interest, cells with reduced Cdc42 activity at the PM displayed altered centrosome morphology, suggesting that centrosome regulation may be mediated by active Cdc42 at the PM. Our study describes a novel quantitative approach to determine Cdc42 activity at specific subcellular locations and reveals new regulatory principles and functions of this small GTPase.


Assuntos
Centrossomo/metabolismo , Proteína cdc42 de Ligação ao GTP/metabolismo , Membrana Celular/metabolismo , Polaridade Celular/fisiologia , Complexo de Golgi/metabolismo , Fatores de Troca do Nucleotídeo Guanina/metabolismo , Humanos , Transdução de Sinais , Análise Espacial
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