RNA-seq expression profiling of murine breast tumour cell lines and bone metastasis-associated endothelial cells
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ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE160102 | GEO | 2021/09/16
REPOSITORIES: GEO
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Project description:Breast tumour cells were found to remodel the bone marrow vascular microenviornment to support metastatic expansion. To identify tumour-derived factors that stimulate marrow endothelium, we studied the transcriptomes of four isogenic murine mammary tumour cell lines, 4T1.2, 4T1, 66cl4 and 67NR.
2021-09-16 | GSE160101 | GEO
Project description:Breast tumour cells were found to remodel the murine bone marrow vascular microenvironment to support metastatic expansion. To gain insight into the host vasculature in response to tumor colonization, cells from the isogenic murine mammary tumour cell line 4T1.2 were intracardially injected into immunocompetent BALB/c mice. We analysed the transcriptional profiles of endothelial cells extracted from heavily infiltrated (Metastatic) bone marrow stroma and the adjacent tumor-free bone marrow stroma (Non-metastatic), as well as from healthy bones (Control). Methods: Immunocompetent BALB/c mice were intracardically injected with 4T1.2 tumor cells. The bones of these tumor-burdened mice were examined under fluorescence stereomicroscope to microdissect heavily-infiltrated (Metastatic) and the adjacent tumour-free (Non-metastatic) areas. Bones from healthy mice were used as controls. The dissected bone material from both burdened and control mice was processed to isolate EMCNhi/CD31hi endothelial cells using flow cytometry. RNA was extracted for 75bp paired-end RNA-seq profiling using an Illumina NextSeq 500 sequencer.
2021-09-16 | GSE160100 | GEO
Project description:The reciprocal interaction between cancer cells and the tissue-specific stroma is critical for primary and metastatic tumor growth progression. Prostate cancer cells colonize preferentially bone (osteotropism), where they alter the physiological balance between osteoblast-mediated bone formation and osteoclast-mediated bone resorption, and elicit prevalently an osteoblastic response (osteoinduction). The molecular cues provided by osteoblasts for the survival and growth of bone metastatic prostate cancer cells are largely unknown. We exploited the sufficient divergence between human and mouse RNA sequences together with redefinition of highly species-specific gene arrays by computer-aided and experimental exclusion of cross-hybridizing oligonucleotide probes. This strategy allowed the dissection of the stroma (mouse) from the cancer cell (human) transcriptome in bone metastasis xenograft models of human osteoinductive prostate cancer cells (VCaP and C4-2B). As a result, we generated the osteoblastic bone metastasis-associated stroma transcriptome (OB-BMST). Subtraction of genes shared by inflammation, wound healing and desmoplastic responses, and by the tissue type-independent stroma responses to a variety of non-osteotropic and osteotropic primary cancers generated a curated gene signature (“Core” OB-BMST) putatively representing the bone marrow/bone-specific stroma response to prostate cancer-induced, osteoblastic bone metastasis. The expression pattern of three representative Core OB-BMST genes (PTN, EPHA3 and FSCN1) seems to confirm the bone specificity of this response. A robust induction of genes involved in osteogenesis and angiogenesis dominates both the OB-BMST and Core OB-BMST. This translates in an amplification of hematopoietic and, remarkably, prostate epithelial stem cell niche components that may function as a self-reinforcing bone metastatic niche providing a growth support specific for osteoinductive prostate cancer cells. The induction of this combinatorial stem cell niche is a novel mechanism that may also explain cancer cell osteotropism and local interference with hematopoiesis (myelophthisis). Accordingly, these stem cell niche components may represent innovative therapeutic targets and/or serum biomarkers in osteoblastic bone metastasis. Keywords: cancer, transcription-profile, bone, metastasis, stroma 3 samples of VCaP xenografted mouse bones (VCaP xenografts 1/2/3), 3 samples of C4-2B xenografted mouse bones (C4-2B xenografts 1/2/3), 2 samples of Ep156T xenografted mouse bones (Ep156T xenografts 1/2), 2 samples of sham-operated mouse bones (sham-operated bones 1/2) and 3 samples of intact mouse bones (intact bones 1/2/3) were profiled on Affymetrix Mouse Genome 430A 2.0 Arrays. Sample code: MVX stands for VCaP xenografts, MBM for Intact bone samples, MCX for C4-2B xenografts and MNX for Sham-operated bones samples
2014-12-09 | E-GEOD-22813 | biostudies-arrayexpress
Project description:The paper describes a model of tumor invasion to bone marrow.
Created by COPASI 4.26 (Build 213)
This model is described in the article:
Modeling invasion of metastasizing cancer cells to bone marrow utilizing ecological principles
Kun-Wan Chen, Kenneth J Pienta
Theoretical Biology and Medical Modelling 2011, 8:36
Abstract:
Background: The invasion of a new species into an established ecosystem can be directly compared to the steps involved in cancer metastasis. Cancer must grow in a primary site, extravasate and survive in the circulation to then intravasate into target organ (invasive species survival in transport). Cancer cells often lay dormant at their metastatic site for a long period of time (lag period for invasive species) before proliferating (invasive spread). Proliferation in the new site has an impact on the target organ microenvironment (ecological impact) and eventually the human host (biosphere impact).
Results: Tilman has described mathematical equations for the competition between invasive species in a structured habitat. These equations were adapted to study the invasion of cancer cells into the bone marrow microenvironment as a structured habitat. A large proportion of solid tumor metastases are bone metastases, known to usurp hematopoietic stem cells (HSC) homing pathways to establish footholds in the bone marrow. This required accounting for the fact that this is the natural home of hematopoietic stem cells and that they already occupy this structured space. The adapted Tilman model of invasion dynamics is especially valuable for modeling the lag period or dormancy of cancer cells.
Conclusions: The Tilman equations for modeling the invasion of two species into a defined space have been modified to study the invasion of cancer cells into the bone marrow microenvironment. These modified equations allow a more flexible way to model the space competition between the two cell species. The ability to model initial density, metastatic seeding into the bone marrow and growth once the cells are present, and movement of cells out of the bone marrow niche and apoptosis of cells are all aspects of the adapted equations. These equations are currently being applied to clinical data sets for verification and further refinement of the models.
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models .
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide.
Please refer to CC0 Public Domain Dedication for more information.
2019-08-13 | BIOMD0000000795 | BioModels
Project description:The paper describes a model of tumor invasion to bone marrow.
Created by COPASI 4.26 (Build 213)
This model is described in the article:
Modeling invasion of metastasizing cancer cells to bone marrow utilizing ecological principles
Kun-Wan Chen, Kenneth J Pienta
Theoretical Biology and Medical Modelling 2011, 8:36
Abstract:
Background: The invasion of a new species into an established ecosystem can be directly compared to the steps involved in cancer metastasis. Cancer must grow in a primary site, extravasate and survive in the circulation to then intravasate into target organ (invasive species survival in transport). Cancer cells often lay dormant at their metastatic site for a long period of time (lag period for invasive species) before proliferating (invasive spread). Proliferation in the new site has an impact on the target organ microenvironment (ecological impact) and eventually the human host (biosphere impact).
Results: Tilman has described mathematical equations for the competition between invasive species in a structured habitat. These equations were adapted to study the invasion of cancer cells into the bone marrow microenvironment as a structured habitat. A large proportion of solid tumor metastases are bone metastases, known to usurp hematopoietic stem cells (HSC) homing pathways to establish footholds in the bone marrow. This required accounting for the fact that this is the natural home of hematopoietic stem cells and that they already occupy this structured space. The adapted Tilman model of invasion dynamics is especially valuable for modeling the lag period or dormancy of cancer cells.
Conclusions: The Tilman equations for modeling the invasion of two species into a defined space have been modified to study the invasion of cancer cells into the bone marrow microenvironment. These modified equations allow a more flexible way to model the space competition between the two cell species. The ability to model initial density, metastatic seeding into the bone marrow and growth once the cells are present, and movement of cells out of the bone marrow niche and apoptosis of cells are all aspects of the adapted equations. These equations are currently being applied to clinical data sets for verification and further refinement of the models.
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models .
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide.
Please refer to CC0 Public Domain Dedication for more information.
2019-08-13 | BIOMD0000000793 | BioModels
Project description:Purpose: Prostate cancer most frequently metastasizes to bone and is incurable. Metastatic prostate cancer cells thrive in bone through molecular regulation of surrounding bone stroma; however, it is unclear how non-metastatic vs. metastatic cancer differentially alter the bone cells. Since neutrophils are the most abundant stromal cell in bone, the goal of this study was to identify prostate cancer-induced transcriptomic changes in bone marrow neutrophils for comparison to non-metastatic prostate cancer cells.
2022-08-03 | GSE193468 | GEO
Project description:Cancer metastasis in the bone represents an incurable disease. About one-third of patients with advanced renal cell carcinoma (ccRCC) have bone metastasis at the time of diagnosis making it a life-threatening disease. The bone metastatic niche, including immune and stroma microenvironment, has not been defined. Here, we created a human single-cell transcriptome cell-atlas of ccRCC bone metastases, contrasted with normal bone marrow immune cells and stroma.
2023-07-17 | GSE202813 | GEO
Project description:The goal of this study was to evaluate genes that are differentially expressed in the bone stroma when breast cancer metastasis are present. We focused our attention on bone stroma cells to understand how the dissemination and growth of tumor cells can impact on the bone environment. Moreover, we aimed to identify potential targets to inhibit the cross talk between cancer cells and tumor microenvironment in bone metastasis. EO771 breast cancer cell line were engineered to express luciferase and GFP, and injected in C57BL/6 mice by the intracardiac route to obtain bone metastasis. Tumor growth was monitored in-vivo by bioluminescence for 2 weeks. Endothelial cells and osteoblasts were isolated from the long bones of tumor-bearing and tumor-free mice to identify genes differentially expressed.
2017-02-23 | GSE66205 | GEO
Project description:How organ-specific metastatic traits accumulate in primary tumors remains unknown. We identified a role of the primary tumor stroma in selecting breast cancer cells that are primed for metastasis in the bone. A fibroblast-rich stroma in breast tumors creates a microenvironment that is similar to that of bone metastases in its abundance of the cytokines CXCL12 and IGF1. Heterogeneous breast cancer cell populations growing in such mesenchymal environment evolve towards a preponderance of clones that thrive on CXCL12 and IGF1. Fibroblast-driven selection of bone metastatic clones in mammary tumors is suppressed by CXCL12 and IGF1 receptor inhibition. Thus, a fibroblast-rich stroma in breast tumors can pre-select bone metastatic seeds, promoting the evolution of metastatic traits and the interplay between a primary tumor and its distant metastases.
2013-11-01 | GSE47389 | GEO