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1.
Cells ; 13(14)2024 Jul 09.
Artículo en Inglés | MEDLINE | ID: mdl-39056749

RESUMEN

BACKGROUND: Metastasis is the main cause of cancer-related deaths, but efficient targeted therapies against metastasis are still missing. Major gaps exist in our understanding of the metastatic cascade, as existing methods cannot combine sensitivity, robustness, and practicality to dissect cancer progression. Addressing this issue requires improved strategies to distinguish early metastatic colonization from metastatic outgrowth. METHODS: Luciferase-labelled MDA-MB-231, MCF7, and 4T1 breast cancer cells were spiked into samples from tumour-naïve mice to establish the limit of detection for disseminated tumour cells. Luciferase-labelled breast cancer cells (±unlabelled cancer-associated fibroblasts; CAFs) were orthotopically implanted in immunocompromised mice. An ex vivo luciferase assay was used to quantify tumour cell dissemination. RESULTS: In vitro luciferase assay confirmed a linear and positive correlation between cancer cell numbers and the bioluminescence detected at single cell level in blood, brain, lung, liver, and mammary fat pad samples. Remarkably, single luciferase-labelled cancer cells were detectable in all of these sites, as the bioluminescence quantified in the analysed samples was substantially higher than background levels. Ex vivo, circulating tumour cells, metastasis, and tumour self-seeding were detected in all samples from animals implanted with highly metastatic luciferase-labelled MDA-MB-231 cells. In turn, detection of poorly metastatic luciferase-labelled MCF7 cells was scarce but significantly enhanced upon co-implantation with CAFs as early as 20 days after the experiment was initiated. CONCLUSIONS: These results demonstrate the feasibility of using an ultrasensitive luciferase-based method to dissect the mechanisms of early metastatic colonization to improving the development of antimetastatic therapies.


Asunto(s)
Neoplasias de la Mama , Metástasis de la Neoplasia , Células Neoplásicas Circulantes , Animales , Neoplasias de la Mama/patología , Neoplasias de la Mama/sangre , Femenino , Ratones , Humanos , Células Neoplásicas Circulantes/patología , Células Neoplásicas Circulantes/metabolismo , Modelos Animales de Enfermedad , Línea Celular Tumoral , Detección Precoz del Cáncer/métodos , Luciferasas/metabolismo
2.
Cells ; 12(23)2023 11 30.
Artículo en Inglés | MEDLINE | ID: mdl-38067168

RESUMEN

Epithelial-mesenchymal transition (EMT) is crucial to metastasis by increasing cancer cell migration and invasion. At the cellular level, EMT-related morphological and functional changes are well established. At the molecular level, critical signaling pathways able to drive EMT have been described. Yet, the translation of EMT into efficient diagnostic methods and anti-metastatic therapies is still missing. This highlights a gap in our understanding of the precise mechanisms governing EMT. Here, we discuss evidence suggesting that overcoming this limitation requires the integration of multiple omics, a hitherto neglected strategy in the EMT field. More specifically, this work summarizes results that were independently obtained through epigenomics/transcriptomics while comprehensively reviewing the achievements of proteomics in cancer research. Additionally, we prospect gains to be obtained by applying spatio-temporal multiomics in the investigation of EMT-driven metastasis. Along with the development of more sensitive technologies, the integration of currently available omics, and a look at dynamic alterations that regulate EMT at the subcellular level will lead to a deeper understanding of this process. Further, considering the significance of EMT to cancer progression, this integrative strategy may enable the development of new and improved biomarkers and therapeutics capable of increasing the survival and quality of life of cancer patients.


Asunto(s)
Multiómica , Neoplasias , Humanos , Calidad de Vida , Neoplasias/genética , Transición Epitelial-Mesenquimal/genética , Análisis Espacio-Temporal
3.
Methods Mol Biol ; 2488: 13-22, 2022.
Artículo en Inglés | MEDLINE | ID: mdl-35347679

RESUMEN

The transforming growth factor-ß (TGF-ß) is a multifunctional cytokine critical for embryogenesis and tissue homeostasis. Alterations in TGF-ß signaling pathway are observed in several types of malignant tumors and often related with cancer progression and metastasis. TGF-ß signaling is transduced across the plasma membrane after ligand-receptor binding and consequent phosphorylation of the intracellular effectors SMAD2/3 by TGF-ß receptors. Phosphorylated SMAD2/3 accumulates in the nucleus after complex formation with SMAD4 to act as transcription factors and regulate the expression of genes critically associated with cell proliferation and differentiation. Traditional methodologies used to assess TGF-ß signaling pathway lack accuracy and/or show poor scalability, limiting in vitro experiments and almost excluding their use in vivo. Here, we describe a fast method to quantitate TGF-ß signaling pathway activity in vitro and in vivo by using adenoviral reporters. Its implementation in vitro allows quantitating cell response to TGF-ß at concentrations as low as pictograms/mL. Additionally, the use of an in vivo imaging system (IVIS) enables quantitating and monitoring TGF-ß signaling pathway activity over time during cancer progression, eliminating the requirement of animal euthanasia at multiple time points for this purpose. Importantly, this protocol has been consistently used in different models and effectively led to the visualization and measurement of TGF-ß activity levels. Improving the sensitivity, specificity, and scalability of methods focused on characterizing this and other molecular pathways will result in a better understanding of their biology in physiological and pathological processes.


Asunto(s)
Neoplasias , Factor de Crecimiento Transformador beta , Animales , Neoplasias/metabolismo , Fosforilación , Transducción de Señal/fisiología , Factores de Transcripción/metabolismo , Factor de Crecimiento Transformador beta/metabolismo
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