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1.
Lab Chip ; 21(12): 2306-2329, 2021 06 15.
Artigo em Inglês | MEDLINE | ID: mdl-34085677

RESUMO

Immunotherapy is a powerful and targeted cancer treatment that exploits the body's immune system to attack and eliminate cancerous cells. This form of therapy presents the possibility of long-term control and prevention of recurrence due to the memory capabilities of the immune system. Various immunotherapies are successful in treating haematological malignancies and have dramatically improved outcomes in melanoma. However, tackling other solid tumours is more challenging, mostly because of the immunosuppressive tumour microenvironment (TME). Current in vitro models based on traditional 2D cell monolayers and animal models, such as patient-derived xenografts, have limitations in their ability to mimic the complexity of the human TME. As a result, they have inadequate translational value and can be poorly predictive of clinical outcome. Thus, there is a need for robust in vitro preclinical tools that more faithfully recapitulate human solid tumours to test novel immunotherapies. Microfluidics and lab-on-a-chip technologies offer opportunities, especially when performing mechanistic studies, to understand the role of the TME in immunotherapy, and to expand the experimental throughput when using patient-derived tissue through its miniaturization capabilities. This review first introduces the basic concepts of immunotherapy, presents the current preclinical approaches used in immuno-oncology for solid tumours and then discusses the underlying challenges. We provide a rationale for using microfluidic-based approaches, highlighting the most recent microfluidic technologies and methodologies that have been used for studying cancer-immune cell interactions and testing the efficacy of immunotherapies in solid tumours. Ultimately, we discuss achievements and limitations of the technology, commenting on potential directions for incorporating microfluidic technologies in future immunotherapy studies.


Assuntos
Melanoma , Neoplasias , Animais , Humanos , Imunoterapia , Dispositivos Lab-On-A-Chip , Microfluídica , Neoplasias/terapia , Microambiente Tumoral
2.
BJOG ; 124(3): 486-494, 2017 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-27860146

RESUMO

OBJECTIVE: The use of lymph node sampling during staging procedures in clinical early-stage mucinous ovarian carcinoma (MOC) is an ongoing matter of debate. Furthermore, the incidence of lymph node metastases (LNM) in MOC in relation to tumour grade (G) is unknown. We aimed to determine the incidence of LNM in clinical early-stage MOC per tumour grade. DESIGN: Retrospective study with data from the Dutch Pathology Registry (PALGA). SETTING: The Netherlands, 2002-2012. POPULATION OR SAMPLE: Patients with MOC. METHODS: Histology reports on patients with MOC diagnosed in the Netherlands between 2002 and 2012 were obtained from PALGA. Reports were reviewed for diagnosis, tumour grade and presence of LNM. Clinical data, surgery reports and radiology reports of patients with LNM were retrieved from hospital files. MAIN OUTCOME MEASURES: Incidence of LNM, disease-free survival (DFS). RESULTS: Of 915 patients with MOC, 426 underwent lymph node sampling. Cytoreductive surgery was performed in 267 patients. The other 222 patients received staging without lymph node sampling. In eight of 426 patients, LNM were discovered by sampling. In four of 190 (2.1%) patients with G1 MOC, LNM were present, compared with one of 115 (0.9%) patients with G2 MOC and three of 22 (13.6%) patients with G3 MOC. Tumour grade was not specified in 99 patients. Patients with clinical early-stage MOC had no DFS benefit from lymph node sampling. CONCLUSIONS: LNM are rare in early-stage G1 and G2 MOC without clinical suspicion of LNM. Therefore, lymph node sampling can be omitted in these patients. TWEETABLE ABSTRACT: Lymph node sampling can be omitted in clinical early-stage G1 and G2 mucinous ovarian cancer.


Assuntos
Adenocarcinoma Mucinoso/patologia , Metástase Linfática/patologia , Neoplasias Ovarianas/patologia , Adenocarcinoma Mucinoso/mortalidade , Adulto , Idoso , Estudos de Coortes , Intervalo Livre de Doença , Feminino , Humanos , Incidência , Linfonodos/patologia , Pessoa de Meia-Idade , Gradação de Tumores , Estadiamento de Neoplasias , Países Baixos/epidemiologia , Neoplasias Ovarianas/mortalidade , Sistema de Registros , Estudos Retrospectivos
3.
Oncogene ; 31(8): 939-53, 2012 Feb 23.
Artigo em Inglês | MEDLINE | ID: mdl-21765470

RESUMO

Autophagy, hallmarked by the formation of double-membrane bound organelles known as autophagosomes, is a lysosome-dependent pathway for protein degradation. The role of autophagy in carcinogenesis is context dependent. As a tumor-suppressing mechanism in early-stage carcinogenesis, autophagy inhibits inflammation and promotes genomic stability. Moreover, disruption of autophagy-related genes accelerates tumorigenesis in animals. However, autophagy may also act as a pro-survival mechanism to protect cancer cells from various forms of cellular stress. In cancer therapy, adaptive autophagy in cancer cells sustains tumor growth and survival in face of the toxicity of cancer therapy. To this end, inhibition of autophagy may sensitize cancer cells to chemotherapeutic agents and ionizing radiation. Nevertheless, in certain circumstances, autophagy mediates the therapeutic effects of some anticancer agents. Data from recent studies are beginning to unveil the apparently paradoxical nature of autophagy as a cell-fate decision machinery. Taken together, modulation of autophagy is a novel approach for enhancing the efficacy of existing cancer therapy, but its Janus-faced nature may complicate the clinical development of autophagy modulators as anticancer therapeutics.


Assuntos
Autofagia , Neoplasias/fisiopatologia , Animais , Antineoplásicos/farmacologia , Antineoplásicos/uso terapêutico , Autofagia/efeitos dos fármacos , Humanos , Terapia de Alvo Molecular , Neoplasias/metabolismo , Neoplasias/terapia , Transdução de Sinais , Proteínas Supressoras de Tumor/genética , Proteínas Supressoras de Tumor/metabolismo
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