Development of a xenograft model for clinical oligo- and poly-metastatic progression
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ABSTRACT:
OTHER RELATED OMICS DATASETS IN: GSE29890
PROVIDER: PRJNA140747 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:We previously proposed a clinically meaningful intermediate metastatic state defined by a limited number of new metastases (≤5) after 3 months of follow-up, termed oligometastasis that has the curative potential by local cancer treatments as in contrast to the incurable widespread polymetastatic dissemination. While animal models of polymetastasis exist and this phenotype can be further enhanced upon serial in vivo passage, animal models of oligometastasis are not available. Here, we report the creation of an oligometastasis model of MDA-MB-435 human tumor in nude mice in which the oligometastatic phenotype exhibits stability during successive in vivo testing, and satisfies the criteria of ≤ 5 total body macroscopic metastases definition of the human cancer oligometastatic state. In parallel, we also developed an MDA-MB-435 polymetastatic model in which the polymetastatic dissemination pattern was either poly-foci at lung, or involved multiple anatomic sites including lung, heart, muscle, ovaries, kidney, brain and pleura. We have conducted microRNA expression profiling of cell lines derived from distinct lungs of oligo- and poly-metastatic animals. Animal model-derived microRNA expression features that discriminate oligometastatic cell lines from those of polymetastases accurately identify oligometastatic patients who failed to develop widespread metastases (P=0.005). These results demonstrate the clinical relevance of the oligo- and polymetastatic animal models we have developed and their potential in elucidating the molecular underpinnings of oligometastasis progression. We developed a stable human tumor (MDA-MB-435-GFP) xenograft model of oligometastatic and polymetastatic progression by conducting three consecutive rounds of experimental lung colonization assays. In the first round, we generated oligometastases-like lung derivative MDA-MB-435-L1-GFP (L1) or polymetastases-like MDA-MB-435-L1Mic-GFP (L1Mic) cell lines. We subsequently generated three oligometastatic L1 lung cell lines as well as four polymetastatic L1Mic lung cell lines from seven distinct animals of the second in vivo passage for further biological characterization and for microRNA expression analysis.
2011-05-21 | E-GEOD-29430 | biostudies-arrayexpress
Project description:We previously proposed a clinically meaningful intermediate metastatic state defined by a limited number of new metastases (≤5) after 3 months of follow-up, termed oligometastasis that has the curative potential by local cancer treatments as in contrast to the incurable widespread polymetastatic dissemination. While animal models of polymetastasis exist and this phenotype can be further enhanced upon serial in vivo passage, animal models of oligometastasis are not available. Here, we report the creation of an oligometastasis model of MDA-MB-435 human tumor in nude mice in which the oligometastatic phenotype exhibits stability during successive in vivo testing, and satisfies the criteria of ≤ 5 total body macroscopic metastases definition of the human cancer oligometastatic state. In parallel, we also developed an MDA-MB-435 polymetastatic model in which the polymetastatic dissemination pattern was either poly-foci at lung, or involved multiple anatomic sites including lung, heart, muscle, ovaries, kidney, brain and pleura. We have conducted microRNA expression profiling of cell lines derived from distinct lungs of oligo- and poly-metastatic animals. Animal model-derived microRNA expression features that discriminate oligometastatic cell lines from those of polymetastases accurately identify oligometastatic patients who failed to develop widespread metastases (P=0.005). These results demonstrate the clinical relevance of the oligo- and polymetastatic animal models we have developed and their potential in elucidating the molecular underpinnings of oligometastasis progression.
2011-06-14 | GSE29890 | GEO
Project description:We previously proposed a clinically meaningful intermediate metastatic state defined by a limited number of new metastases (≤5) after 3 months of follow-up, termed oligometastasis that has the curative potential by local cancer treatments as in contrast to the incurable widespread polymetastatic dissemination. While animal models of polymetastasis exist and this phenotype can be further enhanced upon serial in vivo passage, animal models of oligometastasis are not available. Here, we report the creation of an oligometastasis model of MDA-MB-435 human tumor in nude mice in which the oligometastatic phenotype exhibits stability during successive in vivo testing, and satisfies the criteria of ≤ 5 total body macroscopic metastases definition of the human cancer oligometastatic state. In parallel, we also developed an MDA-MB-435 polymetastatic model in which the polymetastatic dissemination pattern was either poly-foci at lung, or involved multiple anatomic sites including lung, heart, muscle, ovaries, kidney, brain and pleura. We have conducted microRNA expression profiling of cell lines derived from distinct lungs of oligo- and poly-metastatic animals. Animal model-derived microRNA expression features that discriminate oligometastatic cell lines from those of polymetastases accurately identify oligometastatic patients who failed to develop widespread metastases (P=0.005). These results demonstrate the clinical relevance of the oligo- and polymetastatic animal models we have developed and their potential in elucidating the molecular underpinnings of oligometastasis progression.
2011-05-21 | GSE29430 | GEO
Project description:DEVELOPMENT OF A XENOGRAFT MODEL FOR CLINICAL OLIGO- AND POLY-METASTATIC PROGRESSION
| PRJNA141501 | ENA
Project description:Identify therapeutic vulnerabilities of palbociclib resistance in metastatic breast cancer patient-derived xenograft models and identify key biomarkers that correlate with development of resistance to inform new treatment directions
2023-07-10 | GSE229235 | GEO
Project description:In recent years, the scientific community has recognized the need to differentiate between poly- and oligo-metastatic disease (OMD) in oncology due to their distinct clinical and biological behavior. The definition of "true" and good-prognosis OMD is necessarily retrospective, as many patients initially considered oligo-metastatic develop poly-metastatic disease within one year. The PREDICTION study is a prospective, observational, and monocentric investigation. The study has two primary objectives. The first one is descriptive and aims to determine the prevalence of specific biological characteristics in OMD derived from gastrointestinal tract neoplasms (colon, stomach, biliary tract, exocrine glands of the digestive tract). These biological characteristics include genetic landscape and T lymphocyte infiltrate of the primary tumor and/or metastases. Genetic assessment will be done on formalin-fixed paraffin-embedded (FFPE) tissues or liquid biopsies with the Oncomine Solid Tumour DNA kit (Thermo Fisher Scientific, Waltham, MA, USA). Data analysis will be performed using the Torrent Suite Software v5.0 (Thermo Fisher Scientific). The analysis of T lymphocytes will be conducted through immunohistochemistry (IHC) in primary and or metastatic tissues (if available). The second co-primary objective aims to identify OMD through the prognostic effect of a score designed ad hoc. It is tested in a single pathology, namely in patients with metastatic colorectal cancer. A score is constructed based on the following characteristics, with possession of all characteristics (3+) constituting the full score: a primitive/metastasis genetic concordance >80% = 1 point; high T-lymphocyte infiltration GRZB+ (>10 cells/mm2) in the primary tumor and/or metastases (where tissue is available) = 1 point; absence of clonal evolution favoring specific key-driver genes = 1 point. The hypothesis is that patients with true OMD (score 3+) have a significantly lower rate of progression at one year, defined as recurrence after radical surgery or progression (in oligometastatic patients who are not candidates for upfront definitive local treatment) based on RECIST v 1.1 criteria since enrollment in the study, compared to those with false OMD who subsequently develop polymetastatic disease. The treatments will be chosen at the discretion of the referring Oncologist, in multidisciplinary sessions, according to normal clinical practice. The sample size was determined using a two-sided test of difference between proportions to evaluate the statistical significance of the difference in recurrence within 1 year. For this purpose, the following scenario was considered: a reasonable probability of the simultaneous occurrence of the 3 factors in true OMD (score 3+) of 60%; a recurrence rate of 20% for true OMD (score 3+), and 80% for false OMD (score <3+). With a significance level of α=0.05, a test power of 90%, and a Fisher exact test, the required number of patients to be enrolled is 32, to be recruited over an expected period of 2 years.
| 14344 | ecrin-mdr-crc
Project description:We have used an IGR-N-91 parental cell line established from an involved bone marrow harvested from a high-risk NB (stage 4-NB, 8 year-old boy). These IGR-N-91 neuroblasts were injected subcutaneously into nude mice and a Primary Tumor Xenograft (PTX) was isolated whilst metastatic neuroblasts were isolated from Myocardium (MY) and Bone Marrow (BM). These malignant neuroblasts were further cultured in vitro on bovine corneal extra-cellular matrix to establish sublines (IGR/PTX, IGR/BM and IGR/MY). Agilent oligo microarray analysis was performed to compare gene expression profiles in BM and MY metastatic versus PTX neuroblasts. This analysis used eight microarrays (two replicates plus two dye-swap experiments for both MY and BM cell lines).
2006-09-11 | E-TABM-44 | biostudies-arrayexpress
Project description:Androgen signalling through the androgen receptor (AR) plays a critical role in prostate cancer (PCa) initiation and progression. Estrogen and the estrogen receptor, in synergy with androgen, are essential for cell growth of the normal and malignant prostate. However, the exact role that estrogen plays in prostate carcinogenesis, and the precise mechanisms involved, remain unclear. We have previously demonstrated the metastasis-promoting effect of an estrogen receptor Beta (ERβ) agonist (genistein) and the inhibitory action of an anti-estrogen (ICI 182, 780) in patient-derived PCa xenograft models mimicking localized and metastatic disease. In this study, we compared the gene expression profiles of treated and untreated PCa xenografts using microarrays to identify a unique set of genes that were both up-regulated by genistein treatment and down-regulated by the anti-estrogen, ICI 182,780. Five of the six genes identified from this comparison belonged to the metallothionein (MT) gene family. Knock-down of ERβ led to a reduction in MT gene expression, confirming its role in regulating these genes. Using qRT-PCR, the differences in expression levels were validated in the metastatic and non-metastatic LTL313 PCa xenograft tumour lines, both of which were originally derived from the same PCa patient. Together our data provides evidence for the role of ERβ signalling in PCa metastasis and implicates estrogen-stimulated MT gene expression in this process. Three samples each (total RNA extracted from three tumours of three different animals from each group) for control, genistein and ICI were used for the array.
2012-12-27 | E-GEOD-43146 | biostudies-arrayexpress
Project description:We profiled the tumor heterogeneity of individual primary tumor and matched metastatic cells of breast cancer using a set of patient derived xenograft models with different metastatic potentials. This data set gives insights into the transcriptional tumor heterogeneity, the transcriptional differences between primary tumor and matched metastatic cells and how these are changing in regard to varying metastatic phenotypes.
2022-08-15 | GSE211146 | GEO
Project description:This project describes the establishment and validation of a murine orthotopic xenograft model using fresh human tumor samples that recapitulates the critical components of human pancreatic adenocarcinoma. The authors discuss the proven and theoretical advantages of the model as well as future translational implications. Background: Relevant preclinical models that recapitulate the key features of human pancreatic ductal adenocarcinoma (PDAC) are needed in order to provide biologically tractable models to probe disease progression and therapeutic responses and ultimately improve patient outcomes for this disease. Here, we describe the establishment and clinical, pathological, molecular and genetic validation of a murine, orthotopic xenograft model of PDAC. Methods: Human PDACs were resected and orthotopically implanted and propagated in immunocompromised mice. Patient survival was correlated with xenograft growth and metastatic rate in mice. Human and mouse tumor pathology were compared. Tumors were analyzed for genetic mutations, gene expression, receptor tyrosine kinase (RTK) activation, and cytokine expression. Results: Fifteen human PDACs were propagated orthotopically in mice. Xenografts developed peritoneal and liver metastases. Time to growth and metastatic efficiency in mice each correlated with patient survival. Tumor architecture, nuclear grade and stromal content were similar in patient and xenografted tumors. Propagated tumors closely exhibited the genetic and molecular features known to characterize pancreatic cancer (e.g. high rate of KRAS, p53, SMAD4 mutation and EGFR activation). The correlation coefficient of gene expression between patient tumors and xenografts propagated through multiple generations was 93 to 99%. Analysis of gene expression demonstrated distinct differences between xenografts from fresh patient tumors versus commercially available PDAC cell lines. Conclusions: Our orthotopic xenograft model derived from fresh human PDACs closely recapitulates the clinical, pathologic, genetic and molecular aspects of human disease. This model has resulted in the identification of rational therapeutic strategies to be tested in clinical trials and will permit additional therapeutic approaches and identification of biomarkers of response to therapy. 47 Samples in total were generated for normal pancreatic tissue in patients, pancreatic tumors in patients, pancreatic tumors propagated in a mouse xenograft model, and pancreatic cancer cell lines in vitro. Clustering analysis was performed to evaluate the differences between patient tumors, xenograft tumors, established cancer cell lines, and cell lines derived from xenografts.
2013-10-01 | E-GEOD-46385 | biostudies-arrayexpress