Bone Metastases: An Overview

Macedo, Filipa

doi:10.19080/ctoij.2017.04.555637

Cited by 106 publications

(223 citation statements)

References 53 publications

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“…"Exposure of carcinoma cells to NPC-conditioned medium isolated soluble factors contributing to outgrowth" [15]. "We recently showed that the simultaneous targeting of glucose and glutamine under calorie restriction could signi icantly reduce systemic metastatic cancer in the VM-M2 mouse model" [17]. "The liver is a highly metastasis-permissive organ" [20].…”

Section: Discussionmentioning

confidence: 99%

“…"NPCs in the metastatic hepatic niche secrete factors that can induce a partial mesenchymal shift in epithelial breast cancer cells thus initiating outgrowth, and that this is in part mediated by EGFR Epidermal growth factor receptor activation" [15]. "The microenvironment must be favorable for tumor cell survival" [17]. "The bone formation and reabsorption release and activate survival and growth promoting factors that may contribute to bone metastases development" [17].…”

Section: Discussionmentioning

confidence: 99%

“…"The microenvironment must be favorable for tumor cell survival" [17]. "The bone formation and reabsorption release and activate survival and growth promoting factors that may contribute to bone metastases development" [17]. "Epithelial -Mesenchymal transition: Normal cell can lose their epithelial features and acquire mesenchymal characteristics.…”

Section: Discussionmentioning

confidence: 99%

“…This process is called Epithelial-Mesenchymal Transition, and enables epithelial cells to migrate to a new environment. This occurs mainly during embryogenesis, but in cancer cells this process confers the invasive phenotype" [17]. "Identify IGF as a survival factor for HSC and thereby, a promoter of the pro-metastatic microenvironment in the liver" [25].…”

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

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Similarity between Some Biological Systems, Organotropism and Metastatic Process: Active Role Played By Secondary Organ?

Luisetto¹

2018

Insights Biol Med

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According to literature, about 90% of death from cancer is related to metastasis. Metastatic process present many similarity to some other biological processes. Once we have examined some relevant biomedical literature, by understanding the real causes of metastasis, it would become much more possible to introduce new therapeutic strategies to delay or in some cases even to stop this kind of killer process. Breast cancer, as an example, produces metastasis to different organs, which seems to be related to the subtype. We believe that a deep understanding of the roles of breast cancer cells and their interactions with the liver microenvironment in early breast cancer metastasis could be a crucial factor for the design and development of effective BCLM breast cancer liver metastases therapeutic strategies and to better understand the general process. Let's suppose the secondary organ or organs can be considered as incubator/s for the primary metastatic cells. What kind of consequences we can have in therapy fi eld if there is an active regulating role in determining the location of secondary cancers?Let's observe the role played by liver, bone marrow, CNS central nervous system, lungs, lymphocytes and other secondary locations/organs a little bit closer or maybe from a different angle let's suppose we try to come up with just a hypothesis. Just let's take this as a possibility, and we take the thread to see where it takes us.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

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Similarity between Some Biological Systems, Organotropism and Metastatic Process: Active Role Played By Secondary Organ?

Luisetto¹

2018

Insights Biol Med

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SMAD3/SP1 complex‐mediated constitutive active loop between lncRNA PCAT7 and TGF‐β signaling promotes prostate cancer bone metastasis

Lang

Dai

et al. 2020

Molecular Oncology

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Bone metastasis is associated with cancer‐related death in patients with prostate cancer (PCa). Long noncoding RNAs (lncRNAs) play critical roles in tumor progression of PCa. Nevertheless, the biological function of lncRNAs in PCa bone metastasis remains unclear. PCAT7 was identified as a bone metastasis‐related lncRNA via analyzing TCGA dataset. Meanwhile, PCAT7 was found to be elevated in primary PCa tissues with bone metastasis and associated with bone metastasis status and poor prognosis of patients with PCa. Functionally, our results reveal that PCAT7 overexpression promotes PCa bone metastasis in vivo, as well as migration, invasion, and EMT of PCa cells in vitro; on the contrary, PCAT7 knockdown has an inverse effect. Mechanistically, PCAT7 activates TGF‐β/SMAD signaling by upregulating TGFBR1 expression via sponging miR‐324‐5p. In turn, TGF‐β signaling forms a positive feedback loop with PCAT7 via SMAD3/SP1 complex‐induced PCAT7 upregulation. Finally, the clinical positive correlation between PCAT7 and TGFBR1 and TGF‐β signaling activity, and the negative association with miR‐324‐5p are further demonstrated in PCa tissues and clinical primary PCa cells. This study reveals a novel mechanism that is responsible for the constitutive activation of TGF‐β signaling in PCa bone metastasis, implying that PCAT7 can act as a potential therapeutic target against bone metastasis of PCa via disrupting the constitutive active loop between PCAT7 and TGF‐β signaling.

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Toward an artificial intelligence‐assisted framework for reconstructing the digital twin of vertebra and predicting its fracture response

Ahmadian

Mageswaran

Walter

et al. 2022

Numer Methods Biomed Eng

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This article presents an effort toward building an artificial intelligence (AI) assisted framework, coined ReconGAN, for creating a realistic digital twin of the human vertebra and predicting the risk of vertebral fracture (VF). ReconGAN consists of a deep convolutional generative adversarial network (DCGAN), image-processing steps, and finite element (FE) based shape optimization to reconstruct the vertebra model. This DCGAN model is trained using a set of quantitative micro-computed tomography (micro-QCT) images of the trabecular bone obtained from cadaveric samples. The quality of synthetic trabecular models generated using DCGAN are verified by comparing a set of its statistical microstructural descriptors with those of the imaging data. The synthesized trabecular microstructure is then infused into the vertebra cortical shell extracted from the patient's diagnostic CT scans using an FE-based shape optimization approach to achieve a smooth transition between trabecular to cortical regions. The final geometrical model of the vertebra is converted into a high-fidelity FE model to simulate the VF response using a continuum damage model under compression and flexion loading conditions.A feasibility study is presented to demonstrate the applicability of digital twins generated using this AI-assisted framework to predict the risk of VF in a cancer patient with spinal metastasis.

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Bone Metastases: An Overview

Cited by 106 publications

References 53 publications

Similarity between Some Biological Systems, Organotropism and Metastatic Process: Active Role Played By Secondary Organ?

Similarity between Some Biological Systems, Organotropism and Metastatic Process: Active Role Played By Secondary Organ?

SMAD3/SP1 complex‐mediated constitutive active loop between lncRNA PCAT7 and TGF‐β signaling promotes prostate cancer bone metastasis

Toward an artificial intelligence‐assisted framework for reconstructing the digital twin of vertebra and predicting its fracture response

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