Detecting metastatic tumors after γ-irradiation using longitudinal molecular imaging and gene expression profiling of metastatic tumor nodules
Ontology highlight
ABSTRACT: Microarray analysis in the mouse metastatic tumor after ɣ-irradiation(ɣ-IR): non-irradiated primary tumor vs. radiated primary tumor vs. metastatic tumor after ɣ-irradiation Metastatic tumors in C6-L (rat glioma cells ) xenografted mice were studied after local treatment with fractionated γ-IR. To accurately detect the metastatic nodules after γ-IR, we observed the effect of γ-IR on distant metastatic tumor growth. Metastatic nodules after γ-IR indicated extensive colonization of C6-L cells in the lungs within 6 weeks after γ-IR. Identified and described the molecular events occurring after γ-IR through gene expression profiling to elucidate genetic changes (differentially expressed genes between the γ-IR primary tumors vs. non-γ-IR primary tumors and metastatic lung nodules vs. γ-IR primary tumors).
Project description:Microarray analysis in the mouse metastatic tumor after ɣ-irradiation(ɣ-IR): non-irradiated primary tumor vs. radiated primary tumor vs. metastatic tumor after ɣ-irradiation Metastatic tumors in C6-L (rat glioma cells ) xenografted mice were studied after local treatment with fractionated γ-IR. To accurately detect the metastatic nodules after γ-IR, we observed the effect of γ-IR on distant metastatic tumor growth. Metastatic nodules after γ-IR indicated extensive colonization of C6-L cells in the lungs within 6 weeks after γ-IR. Identified and described the molecular events occurring after γ-IR through gene expression profiling to elucidate genetic changes (differentially expressed genes between the γ-IR primary tumors vs. non-γ-IR primary tumors and metastatic lung nodules vs. γ-IR primary tumors). We investigated the change of gene expression profile in the γ-IR primary tumors vs. non-γ-IR primary tumors and metastatic lung nodules vs. γ-IR primary tumors in rat glioma (C6-L cell) xenograft model.
Project description:To examine whether the local carbon ion radiotherapy affects the characteristics of the metastatic tumors, the expression profiles of the primary tumors and the lung metastases were studied in a mouse squamous cell carcinoma model by applying local radiotherapy with no irradiation (negative control), gamma-ray irradiation (reference beam), and carbon-ion irradiation. Keywords: mouse, squamous cell carcinoma, primary tumor, lung metastases, radiotherapy, carbon ion, gamma ray A highly metastatic mouse squamous cell carcinoma NR-S1 was implanted into the hind leg of synergetic C3H/HeNrs mice and irradiated with 5 Gy of carbon ion beam. 8 Gy of gamma ray was used as a reference beam. At 2 weeks after the irradiation, the lung tissue was sampled. In order to collect samples of primary tumors, the tumors were implanted in other mice and irradiated in the same manner, and the primary tumors were collected at 1 week after the irradiation. The tumor cells of the primary and metastatic tumors were collected by laser microdissection, and oligonucleotide microarray analysis of the irradiated primary tumors and the metastatic tumors were all performed in comparison to the non-irradiated primary tumor by two-color methods.
Project description:Detecting metastatic tumors after γ-irradiation using longitudinal molecular imaging and gene expression profiling of metastatic tumor nodules
Project description:To examine whether the local carbon ion radiotherapy affects the characteristics of the metastatic tumors, the expression profiles of the primary tumors and the lung metastases were studied in a mouse squamous cell carcinoma model by applying local radiotherapy with no irradiation (negative control), gamma-ray irradiation (reference beam), and carbon-ion irradiation. Keywords: mouse, squamous cell carcinoma, primary tumor, lung metastases, radiotherapy, carbon ion, gamma ray
Project description:Metastasis formation is the major cause for cancer-related deaths and the underlying mechanisms remain poorly understood. In this study we describe spontaneous metastasis xenograft mouse models of human neuroblastoma used for unbiased identification of metastasis-related proteins by applying an infrared laser (IR) for sampling primary tumor and metastatic tissues, followed by mass spectrometric proteome analysis. IR aerosol samples were obtained from ovarian and liver metastases, which were indicated by bioluminescence imaging (BLI), and matched subcutaneous primary tumors. Corresponding histology proved the human origin of metastatic lesions. Ovarian metastases were commonly larger than liver metastases indicating differential outgrowth capacities. Among ~1,700 proteins identified at each of the three sites, 89 proteins were differentially regulated in ovarian metastases while 290 proteins were regulated in liver metastases. There was an overlap of 26 and 10 proteins up- and down-regulated at both metastatic sites, respectively, most of which were so far not related to metastasis such as LYPLA2, ACTL8, EIF4B, LGALS7, GFAP, and ELAVL4. Moreover, we established in vitro sublines from primary tumor and metastases and demonstrate differences in cellular protrusions, migratory/invasive potential and glycosylation. Summarized, this work identified several novel putative drivers of metastasis formation that are tempting candidates for future functional studies.
Project description:Molecular profiling was used to classify mammary tumors that develop in MTB-IGFIR transgenic mice. It was determined that the primary mammary tumors (PMT), which develop due to elevated expression of the type I insulin-like growth factor receptor (IGF-IR) in mammary epithelial cells, most closely resemble murine tumors with basal-like or mixed gene expression profiles and with human basal-like breast cancers. Downregulation of IGF-IR transgene in MTB-IGFIR tumor-bearing mice leads to the regression of most of the tumors followed by tumor re-appearance in some of the mice. These tumors that re-appear following IGF-IR transgene downregulation do not express the IGF-IR transgene and cluster with murine mammary tumors that express a mesenchymal gene expression profile and with human claudin-low breast cancers. Therefore, IGF-IR overexpression in murine mammary epithelial cells induces mammary tumors with primarily basal-like characteristics while tumors that develop following IGF-IR downregulation express a gene signature that most closely resembles human claudin-low breast tumors. Three conditions: 8 wild type (WT) mammary glands, 11 primary mammary tumor (PMT) samples, 9 recurrent spindle tumor (RST) samples, each sample was hybridized against a universal mouse reference RNA
Project description:Introduction: According to the clonal model of tumor evolution, trunk alterations arise at early stages and are ubiquitous. Through the characterization of early stages of hepatocarcinogenesis, we aimed to identify trunk alterations in HCC and study their intra- and inter-tumor distribution in more advanced lesions. Methods: 151 samples representing the multi-step process of hepatocarcinogenesis were analyzed by targeted-sequencing and SNP array. Genes altered in early lesions [31 dysplastic nodules (DNs) and 38 small HCCs (sHCC)] were defined as trunk. The distribution of candidate trunk genes was explored in: a) different regions of large tumors [43 regions of 21 tumors, (2-3 regions/tumor)]; and b) different nodules of the same patient [39 multinodular tumors from 17 patients]. Multinodular lesions were classified as intrahepatic metastases (IMs) or synchronous tumors based on chromosomal aberrations. Results: TERT promoter mutations (10.5%) and broad copy-number aberrations in chromosomes 1 and 8 (3-7%) were identified as trunk gatekeepers in DNs and were maintained in sHCCs. Trunk drivers identified in sHCCs included TP53 (23%) and CTNNB1 (11%) mutations, and focal amplifications or deletions in known drivers (6%). Overall, TERT, TP53 and CTNNB1 mutations were the most frequent trunk events in early stages. 89% of mutations in these genes were shared between different regions of large tumors. In multinodular HCCs, 35% of patients harbored IMs. 85% of mutations in TERT, TP53 and/or CTNNB1 were retained in primary and metastatic tumors. Conclusions: Trunk events in early stages (TERT, TP53, CTNNB1 mutations) were ubiquitous across different regions of the same tumor and between primary and metastatic nodules in >85% of cases. This concept supports the knowledge that single biopsies would suffice to capture trunk mutations in HCC.
Project description:Introduction: According to the clonal model of tumor evolution, trunk alterations arise at early stages and are ubiquitous. Through the characterization of early stages of hepatocarcinogenesis, we aimed to identify trunk alterations in HCC and study their intra- and inter-tumor distribution in more advanced lesions. Methods: 151 samples representing the multi-step process of hepatocarcinogenesis were analyzed by targeted-sequencing and SNP array. Genes altered in early lesions [31 dysplastic nodules (DNs) and 38 small HCCs (sHCC)] were defined as trunk. The distribution of candidate trunk genes was explored in: a) different regions of large tumors [43 regions of 21 tumors, (2-3 regions/tumor)]; and b) different nodules of the same patient [39 multinodular tumors from 17 patients]. Multinodular lesions were classified as intrahepatic metastases (IMs) or synchronous tumors based on chromosomal aberrations. Results: TERT promoter mutations (10.5%) and broad copy-number aberrations in chromosomes 1 and 8 (3-7%) were identified as trunk gatekeepers in DNs and were maintained in sHCCs. Trunk drivers identified in sHCCs included TP53 (23%) and CTNNB1 (11%) mutations, and focal amplifications or deletions in known drivers (6%). Overall, TERT, TP53 and CTNNB1 mutations were the most frequent trunk events in early stages. 89% of mutations in these genes were shared between different regions of large tumors. In multinodular HCCs, 35% of patients harbored IMs. 85% of mutations in TERT, TP53 and/or CTNNB1 were retained in primary and metastatic tumors. Conclusions: Trunk events in early stages (TERT, TP53, CTNNB1 mutations) were ubiquitous across different regions of the same tumor and between primary and metastatic nodules in >85% of cases. This concept supports the knowledge that single biopsies would suffice to capture trunk mutations in HCC.
Project description:Introduction: According to the clonal model of tumor evolution, trunk alterations arise at early stages and are ubiquitous. Through the characterization of early stages of hepatocarcinogenesis, we aimed to identify trunk alterations in HCC and study their intra- and inter-tumor distribution in more advanced lesions. Methods: 151 samples representing the multi-step process of hepatocarcinogenesis were analyzed by targeted-sequencing and SNP array. Genes altered in early lesions [31 dysplastic nodules (DNs) and 38 small HCCs (sHCC)] were defined as trunk. The distribution of candidate trunk genes was explored in: a) different regions of large tumors [43 regions of 21 tumors, (2-3 regions/tumor)]; and b) different nodules of the same patient [39 multinodular tumors from 17 patients]. Multinodular lesions were classified as intrahepatic metastases (IMs) or synchronous tumors based on chromosomal aberrations. Results: TERT promoter mutations (10.5%) and broad copy-number aberrations in chromosomes 1 and 8 (3-7%) were identified as trunk gatekeepers in DNs and were maintained in sHCCs. Trunk drivers identified in sHCCs included TP53 (23%) and CTNNB1 (11%) mutations, and focal amplifications or deletions in known drivers (6%). Overall, TERT, TP53 and CTNNB1 mutations were the most frequent trunk events in early stages. 89% of mutations in these genes were shared between different regions of large tumors. In multinodular HCCs, 35% of patients harbored IMs. 85% of mutations in TERT, TP53 and/or CTNNB1 were retained in primary and metastatic tumors. Conclusions: Trunk events in early stages (TERT, TP53, CTNNB1 mutations) were ubiquitous across different regions of the same tumor and between primary and metastatic nodules in >85% of cases. This concept supports the knowledge that single biopsies would suffice to capture trunk mutations in HCC.
Project description:Introduction: According to the clonal model of tumor evolution, trunk alterations arise at early stages and are ubiquitous. Through the characterization of early stages of hepatocarcinogenesis, we aimed to identify trunk alterations in HCC and study their intra- and inter-tumor distribution in more advanced lesions. Methods: 151 samples representing the multi-step process of hepatocarcinogenesis were analyzed by targeted-sequencing and SNP array. Genes altered in early lesions [31 dysplastic nodules (DNs) and 38 small HCCs (sHCC)] were defined as trunk. The distribution of candidate trunk genes was explored in: a) different regions of large tumors [43 regions of 21 tumors, (2-3 regions/tumor)]; and b) different nodules of the same patient [39 multinodular tumors from 17 patients]. Multinodular lesions were classified as intrahepatic metastases (IMs) or synchronous tumors based on chromosomal aberrations. Results: TERT promoter mutations (10.5%) and broad copy-number aberrations in chromosomes 1 and 8 (3-7%) were identified as trunk gatekeepers in DNs and were maintained in sHCCs. Trunk drivers identified in sHCCs included TP53 (23%) and CTNNB1 (11%) mutations, and focal amplifications or deletions in known drivers (6%). Overall, TERT, TP53 and CTNNB1 mutations were the most frequent trunk events in early stages. 89% of mutations in these genes were shared between different regions of large tumors. In multinodular HCCs, 35% of patients harbored IMs. 85% of mutations in TERT, TP53 and/or CTNNB1 were retained in primary and metastatic tumors. Conclusions: Trunk events in early stages (TERT, TP53, CTNNB1 mutations) were ubiquitous across different regions of the same tumor and between primary and metastatic nodules in >85% of cases. This concept supports the knowledge that single biopsies would suffice to capture trunk mutations in HCC.