Macroscopic stiffness of breast tumors predicts metastasis.
Ontology highlight
ABSTRACT:
SUBMITTER: Fenner J
PROVIDER: S-EPMC4076689 | biostudies-other | 2014 Jul
REPOSITORIES: biostudies-other
Similar Datasets
Project description:The mechanical microenvironment of primary breast tumors plays a substantial role in promoting tumor progression. While the transitory response of cancer cells to pathological stiffness in their native microenvironment has been well described, it is unclear whether mechanical stimuli in the primary tumor influence distant, late-stage metastatic phenotypes in absentia. Here, we show that primary tumor stiffness promotes stable yet non-genetically heritable phenotypes in breast cancer cells. This “mechanical memory” instructs cancer cells to adopt and maintain increased cytoskeletal dynamics, traction force, and 3D invasion in vitro, in addition to promoting osteolytic bone metastasis in vivo. We established a “mechanical conditioning score” comprised of mechanically-regulated genes as a proxy measurement of tumor stiffness response, and we show that it is associated with bone metastasis in patients. Using a discovery approach, we mechanistically traced mechanical memory in part to ERK-mediated mechanotransductive activation of RUNX2, an osteogenic gene bookmarker and bone metastasis driver. This combination of traits allows for the stable transactivation of osteolytic target genes which persists after cancer cells disseminate from their activating microenvironment. Using genetic, epigenetic, and functional approaches, RUNX2-mediated mechanical memory can be stimulated, repressed, selected, or extended. In concert with previous studies detailing how biochemical properties of the primary tumor stroma influence distinct metastatic phenotypes, the impact of local biomechanical properties we present here support a generalized model of cancer progression in which the integrated properties of the primary tumor microenvironment govern cell behavior in the metastatic microenvironment.
2021-07-01 | GSE127887 | GEO
Project description:While the immediate and transitory response of breast cancer cells to pathological stiffness in their native microenvironment has been well explored, it remains unclear how stiffness-induced phenotypes are maintained over time after cancer cell dissemination in vivo. Here, we show that fibrotic-like matrix stiffness promotes distinct metastatic phenotypes in cancer cells, which are preserved after transition to softer microenvironments, such as bone marrow. Using differential gene expression analysis of stiffness-responsive breast cancer cells, we establish a multigenic score of mechanical conditioning (MeCo) and find that it is associated with bone metastasis in patients with breast cancer. The maintenance of mechanical conditioning is regulated by RUNX2, an osteogenic transcription factor, established driver of bone metastasis, and mitotic bookmarker that preserves chromatin accessibility at target gene loci. Using genetic and functional approaches, we demonstrate that mechanical conditioning maintenance can be simulated, repressed, or extended, with corresponding changes in bone metastatic potential.
| S-EPMC8312405 | biostudies-literature
Project description:Compelling evidence shows that chemokine C-X-C motif chemokine ligand 12 (CXCL12) drives metastasis in multiple malignancies. Similar to other key cytokines in cancer, CXCL12 exists as several isoforms with distinct biophysical properties that may alter signaling and functional outputs. However, effects of CXCL12 isoforms in cancer remain unknown. CXCL12-?, -? and -? showed cell-type-specific differences in activating signaling through G protein-dependent pathways in cell-based assays, while CXCL12-? had greatest effects on recruitment of the adapter protein ?-arrestin 2. CXCL12-? and -? also stimulated endothelial tube formation to a greater extent than CXCL12-?. To investigate the effects of CXCL12 isoforms on tumor growth and metastasis, we used a mouse xenograft model of metastatic human breast cancer combining CXCR4+ breast cancer cells and mammary fibroblasts secreting an isoform of CXCL12. Altough all CXCL12 isoforms produced comparable growth of mammary tumors, CXCL12-? significantly increased metastasis to bone marrow and other sites. Breast cancer cells originating from tumors with CXCL12-? fibroblasts upregulated RANKL (receptor activator of nuclear factor-?B ligand), contributing to bone marrow tropism of metastatic cancer cells. CXCL12-? was expressed in metastatic tissues in mice, and we also detected CXCL12-? in malignant pleural effusions from patients with breast cancer. In our mouse model, mammary fibroblasts disseminated to sites of breast cancer metastases, providing another mechanism to increase levels of CXCL12 in metastatic environments. These studies identify CXCL12-? as a potent pro-metastatic molecule with important implications for cancer biology and effective therapeutic targeting of CXCL12 pathways.
| S-EPMC4261050 | biostudies-literature
Project description:Metastasis is a multi-step process. Tumor cells occur epithelial-mesenchymal transition (EMT) to start metastasis, then, they need to undergo a reverse progression of EMT, mesenchymal-epithelial transition (MET), to colonize and form macrometastases at distant organs to complete the whole process of metastasis. Although microRNAs (miRNAs) functions in EMT process are well established, their influence on colonization and macrometastases formation remains unclear. Here, we established an EMT model in MCF-10A cells with SNAI1 overexpression, and characterized some EMT-related microRNAs. We identified that miR-182, which was directly suppressed by SNAI1, could enable an epithelial-like state in breast cancer cells in vitro, and enhance colonization and macrometastases in vivo. Subsequent studies showed that miR-182 exerted its function through targeting its suppressor SNAI1. Moreover, higher expression level of miR-182 was detected in metastatic lymph nodes, compared with paired primary tumor tissues. In addition, the expression level of miR-182 was negatively correlated with that of SNAI1 in these clinical specimens. Taking together, our findings describe the role of miR-182 in colonization and macrometastases in breast cancer for the first time, and provide a promise for diagnosis or therapy of breast cancer metastasis.
| S-EPMC5354860 | biostudies-literature
Project description:Despite the current standard of care, breast cancer remains one of the leading causes of mortality in women worldwide, thus emphasizing the need for better predictive and therapeutic targets. ABI1 is associated with poor survival and an aggressive breast cancer phenotype, although its role in tumorigenesis, metastasis, and the disease outcome remains to be elucidated. Here, we define the ABI1-based seven-gene prognostic signature that predicts survival of metastatic breast cancer patients; ABI1 is an essential component of the signature. Genetic disruption of Abi1 in primary breast cancer tumors of PyMT mice led to significant reduction of the number and size of lung metastases in a gene dose-dependent manner. The disruption of Abi1 resulted in deregulation of the WAVE complex at the mRNA and protein levels in mouse tumors. In conclusion, ABI1 is a prognostic metastatic biomarker in breast cancer. We demonstrate, for the first time, that lung metastasis is associated with an Abi1 gene dose and specific gene expression aberrations in primary breast cancer tumors. These results indicate that targeting ABI1 may provide a therapeutic advantage in breast cancer patients.
| S-EPMC9297774 | biostudies-literature
Project description:Antiangiogenic therapies have failed to confer survival benefits in patients with metastatic breast cancer (mBC). However, to date, there has not been an inquiry into the roles for acquired versus innate drug resistance in this setting. In this study, we report roles for these distinct phenotypes in determining therapeutic response in a murine model of mBC resistance to the antiangiogenic tyrosine kinase inhibitor sunitinib. Using tumor measurement and vascular patterning approaches, we differentiated tumors displaying innate versus acquired resistance. Bioluminescent imaging of tumor metastases to the liver, lungs, and spleen revealed that sunitinib administration enhances metastasis, but only in tumors displaying innate resistance to therapy. Transcriptomic analysis of tumors displaying acquired versus innate resistance allowed the identification of specific biomarkers, many of which have a role in angiogenesis. In particular, aquaporin-1 upregulation occurred in acquired resistance, mTOR in innate resistance, and pleiotrophin in both settings, suggesting their utility as candidate diagnostics to predict drug response or to design tactics to circumvent resistance. Our results unravel specific features of antiangiogenic resistance, with potential therapeutic implications. Cancer Res; 77(4); 1008-20. ©2016 AACR.
| S-EPMC5321582 | biostudies-literature
Project description:Advanced stage glioma is the most aggressive form of malignant brain tumors with a short survival time. Real-time pathology assisted, or image guided surgical procedures that eliminate tumors promise to improve the clinical outcome and prolong the lives of patients. Our work is focused on the development of a rapid and sensitive assay for intraoperative diagnostics of glioma and identification of optical markers essential for differentiation between tumors and healthy brain tissues. We utilized fluorescence lifetime imaging (FLIM) of endogenous fluorophores related to metabolism of the glioma from freshly excised brains tissues. Macroscopic time-resolved fluorescence images of three intracranial animal glioma models and surgical samples of patients' glioblastoma together with the white matter have been collected. Several established and new algorithms were applied to identify the imaging markers of the tumors. We found that fluorescence lifetime parameters characteristic of the glioma provided background for differentiation between the tumors and intact brain tissues. All three rat tumor models demonstrated substantial differences between the malignant and normal tissue. Similarly, tumors from patients demonstrated statistically significant differences from the peritumoral white matter without infiltration. While the data and the analysis presented in this paper are preliminary and further investigation with a larger number of samples is required, the proposed approach based on the macroscopic FLIM has a high potential for diagnostics of glioma and evaluation of the surgical margins of gliomas.
| S-EPMC8181388 | biostudies-literature
Project description:Biomechanical changes in the tumor microenvironment influence tumor progression and metastases. Collagen content and fiber organization within the tumor stroma are major contributors to biomechanical changes (e., tumor stiffness) and correlated with tumor aggressiveness and outcome. What signals and in what cells control collagen organization within the tumors, and how, is not fully understood. We show in mouse breast tumors that the action of the collagen receptor DDR2 in CAFs controls tumor stiffness by reorganizing collagen fibers specifically at the tumor-stromal boundary. These changes were associated with lung metastases. The action of DDR2 in mouse and human CAFs, and tumors in vivo, was found to influence mechanotransduction by controlling full collagen-binding integrin activation via Rap1-mediated Talin1 and Kindlin2 recruitment. The action of DDR2 in tumor CAFs is thus critical for remodeling collagen fibers at the tumor-stromal boundary to generate a physically permissive tumor microenvironment for tumor cell invasion and metastases.
| S-EPMC6555593 | biostudies-literature
Project description:Breast tumor stiffness instructs bone metastasis via mechanical memory
| PRJNA525698 | ENA
Project description:AimWe aimed to develop and validate a comprehensive nomogram containing pre-treatment plasma HSP90AA1 to predict the risk of breast cancer onset and metastasis.MethodsWe assessed the expression of HSP90s in breast cancer patients using an online database. To verify the results, 677 patients diagnosed with breast cancer and 146 patients with benign breast disease between 2014 and 2019 were selected from our hospital and were divided into cancer risk and metastasis risk cohorts. We focused on HSP90AA1 to elucidate the risks of onset and metastasis in the cohorts.ResultsExpression levels of HSP90AA1, HSP90AA2, HSP90AB1, HSP90B1, and TRAP1 were linked to disease progression. Survival analysis using the GEPIA and OncoLnc databases indicated that the upregulation of HSP90AA1 and HSP90AB1 was related to poor overall survival. In the cancer risk cohort, carcinoembryonic antigen (CEA), carbohydrate antigen 153 (CA153), HSP90AA1, T cells%, natural killer cells%, B cells%, neutrophil count, monocyte count, and d-dimer were incorporated into the nomogram. A high Harrell's concordance index (C-index) value of 0.771 [95% confidence interval (CI), 0.725-0.817] could still be reached in the interval validation. In the metastasis risk cohort, predictors contained in the prediction nomogram included the use of CEA, CA153, HSP90AA1, carbohydrate antigen 125 (CA125), natural killer cells%, B cells%, platelet count, monocyte count, and d-dimer. The C-index was 0.844 (95% CI, 0.801-0.887) and it was well-calibrated. HSP90AA1 raised net clinical benefit of breast cancer onset and metastasis risk prediction nomogram in a range of risk thresholds (5-92%) and (1-90%).ConclusionOur study revealed that pretreatment plasma HSP90AA1 combined with other markers could conveniently predict the risk of breast cancer onset and metastasis.
| S-EPMC8181396 | biostudies-literature