RNA-seq analysis on primary tumor and liver metastatic lesion of CRC
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE179979 | GEO | 2021/12/31
REPOSITORIES: GEO
Similar Datasets
Project description:RNA-seq analysis on primary tumor and liver metastatic lesion of CRC
| PRJNA746129 | ENA
Project description:The purpose of this study is to identify lncRNAs involved in the pathology of colorectal cancer (CRC) liver metastasis and investigate their underlying mechanisms. A total of 439 miRNAs were identified to be differentially expressed between 7 primary CRC tissues with liver metastases and 8 CRC tissues without liver metastases from 15 patients by Arraystar lncRNA microarrays
2017-02-28 | GSE95423 | GEO
Project description:Using liver metastases from 4 colorectal cancer patients (CRC-LM), we explored one receptor: EGFR whose signaling triggers cell proliferation and is exacerbated in many tumors.
2023-06-14 | GSE217414 | GEO
Project description:We present a novel approach for investigating transcriptomic differences between primary colorectal cancers (CRC) and distant CRC metastases, which may help to identify primaries at high risk for future dissemination and to inform the development of metastasis-targeted therapies. Eliminating tissue specificity of the “host” organs where tumors are located and adjusting for confounders such as exposure to chemotherapy and radiation, allows for an effective comparison of primary CRC and metastatic lesion transcriptomes at both the gene and pathway levels. Using this approach, our discovery-validation design identified that metastases are characterized by reduced epithelial-mesenchymal-transition (EMT) but increased MYC target and DNA repair pathway activities. The most significant gene-level expression differences between primaries and metastases were in FBN2 and MMP3, which showed over a 7-fold difference. In addition, we uncovered two distinct subtypes of CRC metastases that are characterized by either EMT-inflammatory or proliferative phenotypes, and demonstrated that none of the metastases examined were of consensus molecular subtype (CMS) 3 suggesting subtype exclusivity. Highlighting transcriptome differences between primary tumors and CRC metastases delineates pathways that may be activated in metastases and may assist in the development and/or selection of existing targeted treatment regimens for individuals with metastatic disease.
2019-05-18 | GSE131418 | GEO
Project description:Background: In vitro models are an essential tool towards understanding the molecular characteristics of colorectal cancer (CRC) and the testing of therapies for CRC. To this end we established 21 novel CRC cell lines of which six were derived from liver metastases. Extensive genetic, genomic, transcriptomic and methylomic profiling was performed in order to characterize these new cell lines and all data is made publically available. Additionally, sensitivity of oxaliplatin was tested as a measure for chemotherapy resistance. Results: DNA copy-number alterations (CNA) were compared between primary and metastasis derived cell lines. In concordance with previous studies copy-number gain of chr20, and loss of chr8p were found highly specific for liver metastases. Previously reported BRAF-mutation associated DNA methylation profiles could be validated on the genome-wide DNA methylation profiles of these cell lines. 47.6% of the loci previously reported to associate with BRAF mutation status were reproduced in this dataset. When examining the gene expression profiles in conjunction with these DNA methylation results, we identified 20 genes of which the gene expression correlated with the DNA methylation status, including MEIS1, LRAT and STC2. These genes have previously been reported to be subject to transcriptional regulation through DNA hypermethylation, validating our approach. Conclusions: By combining mutation profiles with CNA and gene expression profiles we constructed an overview of the alterations in the major CRC-related signalling pathways. The mutation profiles, along with the genome, transcriptome and methylome data of these cell lines will be made publically available . This combined dataset puts these cell lines among the best characterized CRC cell lines, allowing researchers to select appropriate cell line models for their particular experiment, making optimal use of these novel cell lines as in vitro model for CRC. 21 CRC cell lines were analyzed
2016-02-29 | E-GEOD-67772 | biostudies-arrayexpress
Project description:Background: In vitro models are an essential tool towards understanding the molecular characteristics of colorectal cancer (CRC) and the testing of therapies for CRC. To this end we established 21 novel CRC cell lines of which six were derived from liver metastases. Extensive genetic, genomic, transcriptomic and methylomic profiling was performed in order to characterize these new cell lines and all data is made publically available. Additionally, sensitivity of oxaliplatin was tested as a measure for chemotherapy resistance. Results: DNA copy-number alterations (CNA) were compared between primary and metastasis derived cell lines. In concordance with previous studies copy-number gain of chr20, and loss of chr8p were found highly specific for liver metastases. Previously reported BRAF-mutation associated DNA methylation profiles could be validated on the genome-wide DNA methylation profiles of these cell lines. 47.6% of the loci previously reported to associate with BRAF mutation status were reproduced in this dataset. When examining the gene expression profiles in conjunction with these DNA methylation results, we identified 20 genes of which the gene expression correlated with the DNA methylation status, including MEIS1, LRAT and STC2. These genes have previously been reported to be subject to transcriptional regulation through DNA hypermethylation, validating our approach. Conclusions: By combining mutation profiles with CNA and gene expression profiles we constructed an overview of the alterations in the major CRC-related signalling pathways. The mutation profiles, along with the genome, transcriptome and methylome data of these cell lines will be made publically available . This combined dataset puts these cell lines among the best characterized CRC cell lines, allowing researchers to select appropriate cell line models for their particular experiment, making optimal use of these novel cell lines as in vitro model for CRC. SNP-array analysis of 21 novel CRC cell lines; 16 with Illumina HumanExome-12 v1.2 BeadChip and 5 with Illumina HumanExome-12 v1.0 BeadChip.
2016-02-29 | E-GEOD-67773 | biostudies-arrayexpress
Project description:We carried out comprehensive analysis for the miRNA profiling of primary tumor and metastatic lesion which seems to be source of circulating miRNA. We picked up two patients who treated with primary tumor resection initially and received chemotherapy followed by surgical resection of liver metastasis. The total miRNA was isolated from frozen tissue specimens. SurePrint G3 Human miRNA microarray kit Rel.21.0 (Agilent Technologies) contains 2549 human microRNA probes. As previously reported, hsa-miR200c revealed specifically high expression in metastatic sites at both two cases. In two colorectal cancer patients, the frozen primary tumor, normal mucosa and liver-metastatic lesion were analyzed by microRNA microarray.
2015-09-19 | E-GEOD-73178 | biostudies-arrayexpress
Project description:Liver metastases originating from 4 colorectal cancer patients (CRC-LM).
| PRJNA898968 | ENA
Project description:The purpose of this study is to identify miRNAs involved in the pathology of colorectal cancer (CRC) liver metastasis and investigate their underlying mechanisms. A total of 39 miRNAs were identified to be differentially expressed between 16 primary CRC tissues with liver metastases and 16 CRC tissues without liver metastases from 32 patients by Affymetric miRNA microarrays. 16 coloretcal cancer tissues with liver metastasis and 16 colorectal cancer tissues without liver metastasis were included in this study for RNA extraction and hybridization on Affymetrix microarrays. We sought to identify the differentially expressed miRNAs between colorectal cancer tissues with and without liver metastasis.
2013-12-10 | E-GEOD-53159 | biostudies-arrayexpress
Project description:Background: In vitro models are an essential tool towards understanding the molecular characteristics of colorectal cancer (CRC) and the testing of therapies for CRC. To this end we established 21 novel CRC cell lines of which six were derived from liver metastases. Extensive genetic, genomic, transcriptomic and methylomic profiling was performed in order to characterize these new cell lines and all data is made publically available. Additionally, sensitivity of oxaliplatin was tested as a measure for chemotherapy resistance. Results: DNA copy-number alterations (CNA) were compared between primary and metastasis derived cell lines. In concordance with previous studies copy-number gain of chr20, and loss of chr8p were found highly specific for liver metastases. Previously reported BRAF-mutation associated DNA methylation profiles could be validated on the genome-wide DNA methylation profiles of these cell lines. 47.6% of the loci previously reported to associate with BRAF mutation status were reproduced in this dataset. When examining the gene expression profiles in conjunction with these DNA methylation results, we identified 20 genes of which the gene expression correlated with the DNA methylation status, including MEIS1, LRAT and STC2. These genes have previously been reported to be subject to transcriptional regulation through DNA hypermethylation, validating our approach. Conclusions: By combining mutation profiles with CNA and gene expression profiles we constructed an overview of the alterations in the major CRC-related signalling pathways. The mutation profiles, along with the genome, transcriptome and methylome data of these cell lines will be made publically available . This combined dataset puts these cell lines among the best characterized CRC cell lines, allowing researchers to select appropriate cell line models for their particular experiment, making optimal use of these novel cell lines as in vitro model for CRC.
2016-02-29 | GSE67773 | GEO