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1.
Cell Rep Med ; 3(3): 100554, 2022 03 15.
Artigo em Inglês | MEDLINE | ID: mdl-35492873

RESUMO

Mutations in STK11/LKB1 in non-small cell lung cancer (NSCLC) are associated with poor patient responses to immune checkpoint blockade (ICB), and introduction of a Stk11/Lkb1 (L) mutation into murine lung adenocarcinomas driven by mutant Kras and Trp53 loss (KP) resulted in an ICB refractory syngeneic KPL tumor. Mechanistically this occurred because KPL mutant NSCLCs lacked TCF1-expressing CD8 T cells, a phenotype recapitulated in human STK11/LKB1 mutant NSCLCs. Systemic inhibition of Axl results in increased type I interferon secretion from dendritic cells that expanded tumor-associated TCF1+PD-1+CD8 T cells, restoring therapeutic response to PD-1 ICB in KPL tumors. This was observed in syngeneic immunocompetent mouse models and in humanized mice bearing STK11/LKB1 mutant NSCLC human tumor xenografts. NSCLC-affected individuals with identified STK11/LKB1 mutations receiving bemcentinib and pembrolizumab demonstrated objective clinical response to combination therapy. We conclude that AXL is a critical targetable driver of immune suppression in STK11/LKB1 mutant NSCLC.


Assuntos
Carcinoma Pulmonar de Células não Pequenas , Neoplasias Pulmonares , Proteínas Proto-Oncogênicas/metabolismo , Receptores Proteína Tirosina Quinases/metabolismo , Quinases Proteína-Quinases Ativadas por AMP , Animais , Linfócitos T CD8-Positivos/metabolismo , Carcinoma Pulmonar de Células não Pequenas/tratamento farmacológico , Humanos , Neoplasias Pulmonares/tratamento farmacológico , Camundongos , Receptor de Morte Celular Programada 1/genética , Proteínas Serina-Treonina Quinases/genética , Receptor Tirosina Quinase Axl
2.
Front Mol Biosci ; 8: 660202, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34532339

RESUMO

Multiplex immunofluorescence (mIF) tyramide signal amplification is a new and useful tool for the study of cancer that combines the staining of multiple markers in a single slide. Several technical requirements are important to performing high-quality staining and analysis and to obtaining high internal and external reproducibility of the results. This review manuscript aimed to describe the mIF panel workflow and discuss the challenges and solutions for ensuring that mIF panels have the highest reproducibility possible. Although this platform has shown high flexibility in cancer studies, it presents several challenges in pre-analytic, analytic, and post-analytic evaluation, as well as with external comparisons. Adequate antibody selection, antibody optimization and validation, panel design, staining optimization and validation, analysis strategies, and correct data generation are important for reproducibility and to minimize or identify possible issues during the mIF staining process that sometimes are not completely under our control, such as the tissue fixation process, storage, and cutting procedures.

3.
Methods Mol Biol ; 2279: 35-47, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-33683684

RESUMO

Programmed cell death 1 (PD-1) plays an important role in subsiding immune responses, in promoting self-tolerance through suppressing the activity of T-cells, and in promoting differentiation of regulatory T-cells. One of its ligands, programmed cell death ligand 1 (PD-L1) acts as a checkpoint regulator in immune cells and is also expressed in a wide range of cancer types. Anti-PD therapy modulates immune responses at the tumor site, targets tumor-induced immune defects, and repairs ongoing immune responses. Since drugs that target the PD-1/PD-L1 pathways became available as a cancer treatment, there is need for the use of different antibodies to detect the presence of these proteins in tumoral samples by immunohistochemistry or other assays. Because the detection of these antigens in tumor samples is highly clinically informative for guiding treatment decisions, especially to establish the aptness of a patient to receive anti-PD therapy, it is necessary to have a validation process that guaranties that the test results obtained when using antibodies against these proteins are specific, selective, reproducible, and conducive to quantification of antigen abundance in cancer tissue sections. Here we describe an automated immunohistochemistry staining procedure that can be applied for the validation of multiple anti-PD-L1 antibody clones when used for the staining of formalin-fixed, paraffin-embedded lung cancer tissue sections.


Assuntos
Automação Laboratorial , Antígeno B7-H1/biossíntese , Regulação Neoplásica da Expressão Gênica , Imuno-Histoquímica , Neoplasias Pulmonares , Proteínas de Neoplasias/biossíntese , Feminino , Humanos , Neoplasias Pulmonares/metabolismo , Neoplasias Pulmonares/patologia , Masculino
4.
Methods Mol Biol ; 2279: 49-57, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-33683685

RESUMO

Antibody selection and optimization are crucial to guarantee accurate and reproducible results when using such antibodies for applications such as western blot analysis and immunohistochemistry (IHC). This is especially important when selecting good candidate antibodies that will be used for cancer immunotherapy diagnostics and research. In this chapter, we describe a Western Blot technique as support methodology for the selection and validation of Programmed Cell Death Ligand 1 (PD-L1) antibodies that can be subsequently used in immunohistochemistry applications. Western Blot is a sensitive, specific, and widely available protein characterization technique, used for the detection of specific antigens. PD-L1 is a major immune checkpoint protein that mediates antitumor immune suppression and response, which is routinely detected using IHC in formalin-fixed and paraffin-embedded tissues as part of cancer clinical diagnostic workflows. For this reason, it is critical to define and select the best antibody clones and validate them using different techniques in order to have a reliable detection of positive staining when these antibodies are used in IHC.


Assuntos
Antígeno B7-H1/metabolismo , Western Blotting , Imuno-Histoquímica , Neoplasias Pulmonares , Proteínas de Neoplasias/metabolismo , Humanos , Neoplasias Pulmonares/diagnóstico , Neoplasias Pulmonares/metabolismo , Neoplasias Pulmonares/patologia
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