Gene expression profiling of tumor organoids of colorectal liver metastases.
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE294511 | GEO | 2026/04/20
REPOSITORIES: GEO
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Project description:Approximately 50% of patients with surgically resected early-stage lung cancer develop distant metastasis. At present, there is no in vivo metastasis model to investigate the biology of human lung cancer metastases. Using well-characterized patient-derived organoids (PDOs) from patients with lung adenocarcinoma (LUAD), we establish an in vivo metastasis model that preserves the biologic features of human LUAD metastases. Results of whole-genome and RNA sequencing performed in this study establish that our in vivo PDO metastasis model can be used to study clonality and tumor evolution and to identify biomarkers related to organotropism. Investigation of the response of KRASG12C PDOs to Sotorasib demonstrates that the model can examine the efficacy of treatments to suppress metastasis and identify mechanisms of drug resistance. Finally, our PDO model cocultured with autologous peripheral blood mononuclear cells can potentially be used to determine the optimal immune-priming strategy for individual patients with LUAD.
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Project description:Tumor metastasis accounts for the majority of cancer-related deaths; it is therefore important to develop preclinical models that faithfully recapitulate disease progression. Here, we generated paired organoids derived from primary tumors and matched liver metastases in the same colorectal cancer patients (CRC). Despite the fact that paired organoids exhibit comparable gene expression and cell morphology. organoids from metastatic lesions demonstrate more aggressive phenotypes, tumorigenesis, and metastatic capacity than those from primary lesions. Transcriptional analyses of the paired organoids reveal signature genes and pathways altered during the progression of CRC. including SOX2, altered during the progression of CRC. Further study shows that inducible knockdown of SOX2 attenuated invasion, proliferation, and liver metastasis outgrowth. Taken together, we use patient-derived organoids to model cancer metastasis. Our data propose that SOX2 is not only a critical biomarker for the development and metastasis of CRC, but also a potent target for the disease treatment.
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Project description:Gene expression profiling of tumor organoids of colorectal liver metastases.
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Project description:We have performed gene expression profiling by exon-resolution microarrays of liver metastases from patients treated by liver transplantation for unresectable metastatic colorectal cancer.
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Project description:Colorectal cancer (CRC) is the third most common and second most deadly cancer worldwide. Treatments for metastatic CRC (mCRC) are still largely based on toxic chemotherapy regimens, but important insights into tumor biology enabled the development of targeted cancer therapies. Here, we describe a proteogenomic analysis of CRC liver metastases (metastatic CRC, mCRC), an ideal setting to analyze therapeutic resistance which occurs in a short time frame. We selected liver metastases from two CRC patients on both of which we performed deep proteome profiling and WES and RNAseq-directed database searches, identifying 10 predicted muttaions, one of which was KRAS G12V. finding we generated targeted parallel reaction monitoring (PRM) assays using stable isotope labelled standard (SIS) peptides to quantify the actual concentration (fmol per µg of total protein) of the mutated and canonical (wildtype) protein variants for 8 different mutations. We demonstrate on a total of 8 tumor and 6 paired healthy tissue samples (7 and 6 out of these KRASG12V) that PRM allows quantifying the actual mutation rate on the protein level from as little 10 µg of total protein starting amount and within a single 1 hour nano-LC-MS/MS run.
2019-12-04 | PXD014222 | Pride
Project description:Almost half of all patients diagnosed with colorectal cancer develop liver metastases. The potential role of intra-individual metastatic heterogeneity remains poorly characterized. By high-resolution DNA copy number analyses and a novel approach based on pair-wise genetic distance, we examined the genetic heterogeneity among multiple liver metastatic deposits obtained from 45 patients subject to curative liver resection. We found large variation in intra-individual metastatic heterogeneity. A high level of heterogeneity was associated with poor patient survival. Patients with metachronous metastases who received chemotherapy had significantly more heterogeneity than chemonaïve patients.
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Project description:mRNA sequencing by Lexogen Quantseq 3 prime of colorectal liver metastases
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Project description:Metastatic dissemination is the most frequent cause of death sporadic colorectal cancer (sCRC) patients. The genomic abnormalities which are potentially characteristic of such advanced stages of the disease are complex and so far, they have been poorly described and only partially understood. We evaluate the molecular heterogeneity of sCRC tumors based on simultaneous assessment of the overall GEP of both coding mRNA and non-coding RNA genes in primary sCRC tumor samples from 23 consecutive patients and their paired liver metastases. Liver metastases from the sCRC patients analyzed, systematically showed deregulated transcripts of those genes identified as also deregulated in their paired primary colorectal carcinomas. However, some transcripts were found to be specifically deregulated in liver metastases while expressed at normal levels in their primary tumors, suggesting an increased genomic instability of neoplastic cells from metastatic versus primary tumor samples. Of note, once tumoral samples were normalized vs. non-tumoral colorectal tissue, only three mRNAS (i.e.: DEFB1, COL12A and PTGER3) and one miRNA (i.e.: miR-572) emerged as significantly deregulated in the liver metastases vs. the primary tumor. Canonical pathways found to be specifically deregulated in liver metastatic samples included multiple genes related with intercellular adhesion and the metastatic processes (e.g., IGF1R, PIK3CA, PTEN and EGFR), endocytosis (e.g., the PDGFRA, SMAD2, ERBB3, PML and FGFR2), and cell cycle (e.g., SMAD2, CCND2, E2F5 and MYC). Our results also highlight the activation of genes associated with the TGFβ signaling pathway, which thereby emerge as candidate genes to play an important role in CRC tumor metastasis.
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Project description:We performed RNA-sequencing to investigate the gene expression profiles of colorectal cancer patient-derived organoids (PDO) and PDO-initiated spontaenous metastases mouse models
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Project description:We performed whole exome sequencing and copy number analysis for 15 triplets, each comprising normal colorectal tissue, primary colorectal carcinoma, and its synchronous matched liver metastasis. We analyzed the similarities and differences between primary colorectal carcinoma and matched liver metastases in regards to somatic mutations and somatic copy number alterationss (SCNAs). The genomic profiling demonstrated mutations in APC(73%), KRAS (33%), ARID1A and PIK3CA (6.7%) genes between primary colorectal and metastatic liver tumors. TP53 mutation was observed in 47% of the primary samples and 67% in liver metastatic samples. The grouped pairs, in hierarchical clustering showed similar SCNA patterns, in contrast to the ungrouped pairs. Many mutations (including those of known key cancer driver genes) were shared in the grouped pairs. The ungrouped pairs exhibited distinct mutation patterns with no shared mutations in key driver genes. Four ungrouped liver metastasis samples had mutations in DNA mismatch repair genes along with hypermutations and a substantial number of copy number of alterations. Genomically, colorectal and metastatic liver tumors were very similar. However, in a subgroup of patients, there were genetic variations in liver metastases in the loss of DNA mismatch repair genes. Copy number analysis of Affymetrix CytoScanHD arrays was performed for 15 primary colorectal carcinoma and 15 samples of their matched liver metastases. 15 normal samples prepared from each of the patient was used as the reference for the study. Nexus Copy number 6.1 software was used for somatic copy number alteration analysis.
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