The CSTME Associates With the Prognosis of Stage II and III Colorectal Cancer
Ontology highlight
ABSTRACT:
DISEASE(S): Colorectal Cancer,Colorectal Neoplasms
PROVIDER: 2735889 | ecrin-mdr-crc |
REPOSITORIES: ECRIN MDR
Similar Datasets
Project description:We measured the expression of human microRNAs in tumor cells derived from 8 FFPE samples among non-invasive CRC patients with different prognosis. Patients lived for more than 5 years after surgery were classified as good prognosis, and patients died within 5 years from surgery were classified as poor prognosis. Tumor tissues were macrodissected under the control HE staining slides. And there were at least 75 percent cancer cells in the samples. MicroRNA microarray was used to measure the expression of human miRNAs in tumor cells derived from 8 FFPE samples among early stage CRC patients with different prognosis.
2016-04-02 | E-GEOD-79810 | biostudies-arrayexpress
Project description:We measured the expression of human microRNAs in tumor cells derived from 8 FFPE samples among non-invasive CRC patients with different prognosis. Patients lived for more than 5 years after surgery were classified as good prognosis, and patients died within 5 years from surgery were classified as poor prognosis. Tumor tissues were macrodissected under the control HE staining slides. And there were at least 75 percent cancer cells in the samples.
2016-04-02 | GSE79810 | GEO
Project description:Purpose: Preoperative 5-fluorouracil (5-FU) based radiochemotherapy (RCT) represents the standard treatment for locally advanced rectal cancer. Both, tumor response and progression vary considerably. MicroRNAs represent master regulators of gene expression, and may therefore contribute to this heterogeneity. Results: Thirty-six miRNAs were identified to significantly correlate with sensitivity of CRC cell lines to RCT (q < 0.05). This list included miR320a as most significantly correlated as well as other miRNAs involved in the MAPK-, TGF- and Wnt-pathway. Importantly, transfection of selected miRNAs (let7g, miR-132, miR-224, miR-320a and miR-429) each induced a shift of sensitivity (p<0.00001). Moreover, high expression of miR-224 was associated with a poor prognosis in rectal cancer patients (p=0.043). Experimental design: Genome-wide microRNA (miRNA) profiling was performed from 12 colorectal cancer (CRC) cell lines. To establish an in vitro signature of radiochemosensitivity, these profiles were correlated to the individual sensitivities of each cell line to 5-FU and radiation. The functional relevance of selected miRNAs was validated by transfecting miRNA-mimics into SW480 cells, followed by treatment with 5-FU and radiation. 12 Samples with 3 replicates each.
2013-09-01 | E-GEOD-40976 | biostudies-arrayexpress
Project description:Background & Aims. The current staging system for colorectal cancer (CRC) based on TNM classification allows prediction of potential recurrence. However, it does not necessarily make reliable personalized prediction of prognosis. In this paper we describe combination of clinicopathological data and gene signature of dissected tumor specimen with stage II and III CRC patients would improve the situation.. Methods. A total of 1978 CRC were collected over 5 years, and then 371 stage II and 322 stage III of them with more than 45.9 months records were subjected to clinicopathological feature analyses. Out of this collection, 129 stage II and III CRC cases were selected for analyses of gene expression profiles with resected specimen. The gene signatures were analyzed by repeated random divisions of the samples into training and test sets to extract discriminator genes. After testing the applicability of this discriminator set, it was subjected to validation using a newly obtained set of 69 samples. Results. The pathological factors in solo or in combinations could not make personalized recurrence prediction, except for partial success with stage II patients. The gene signature, on the other hand, was capable of producing a set of discriminator genes, though the accuracy was yet to be improved. We observed that the best result was obtained when discriminators were selected from stage II CRC samples and used for prognosis of stage II CRC. When stage III cases were included in the process of discriminator extraction or in the process to validate samples, the results were poorer. Finally, we examined 31 independent stage II samples with a set of 30 such discriminators and were able to obtain results with 78 % accuracy, 90 % negative predictive value (NPV), and 55% positive predictive value (PPV). Conclusions. Independent clinicopathological variables were not able to predict prognosis of individual patient, unless the factors are combined. On the other hand, gene signatures allowed accurate prediction of prognosis for individuals, especially with stage II CRC, suggesting its potential use for selection of best treatment option for individual patients. The accuracy of discriminator prediction will be further improved when we take the evolution of CRC into consideration. Of 198 samples, 129 represented the discovery phase and 69 represented the validation phase.
2009-07-02 | E-GEOD-12032 | biostudies-arrayexpress
Project description:We noticed that a recently identified poor prognosis stem/serrated molecular subtype of colorectal cancer (CRC) is characterized by up-regulation of transcripts known to be also expressed by stromal cells. To better define the origin of such transcripts, we analyzed RNAseq and microarray datasets from CRC mouse xenografts, where human cancer cells are supported by murine stroma. The analysis revealed that mRNA levels of stem/serrated subtype genes are mostly due to stromal expression, even when the stromal fraction is below 5%. Indeed, a classifier based on genes exclusively expressed by cancer-associated fibroblasts was significantly associated, in multiple datasets, to poor prognosis of CRC and to radioresistance of rectal cancer. Tumor Matched with Corresponding PDX
2014-05-01 | E-GEOD-56695 | biostudies-arrayexpress
Project description:Clinical Significance: Understanding the differences in colorectal cancer (CRC) aggressiveness and clinical outcomes in relation to tumor stage and different molecular subsets is at most important for designing treatment regimens. However, molecular signatures for specific phenotypic subsets that predict the aggressiveness and clinical outcomes of CRC, specifically in advanced disease stage are lacking. Therefore, for the first time, the current study has identified a set of molecular markers that are associated with aggressive Stage III CRCs that exhibited microsatellite stable and mutant p53 phenotypic features. These findings might aid in designing aggressive treatment regimens and help to provide insights into the development of novel therapeutic targets. Results: Increased incidence of p53 mutations in MSS CRCs (58%) was associated with higher CRC-specific mortality than MSS-p53 wild-type phenotypes (log-rank, P=0.025; and hazard ratio, 2.52; 95% confidence interval, 1.25-5.08). Of 49 down-regulated genes, LPAR6, PDLIM3 and PLAT and of 35 up-regulated genes, TRIM29, FUT3, IQGAP3, and SLC6A8, were confirmed by qNPA, qRT-PCR, and IHC platforms. Conclusions: p53 mutations are associated with poor prognosis of Stage III microsatellite stable CRCs. p53 wild type vs. mutant tumor samples
2012-01-26 | E-GEOD-27157 | biostudies-arrayexpress
Project description:Background & Aims. The current staging system for colorectal cancer (CRC) based on TNM classification allows prediction of potential recurrence. However, it does not necessarily make reliable personalized prediction of prognosis. In this paper we describe combination of clinicopathological data and gene signature of dissected tumor specimen with stage II and III CRC patients would improve the situation.. Methods. A total of 1978 CRC were collected over 5 years, and then 371 stage II and 322 stage III of them with more than 45.9 months records were subjected to clinicopathological feature analyses. Out of this collection, 129 stage II and III CRC cases were selected for analyses of gene expression profiles with resected specimen. The gene signatures were analyzed by repeated random divisions of the samples into training and test sets to extract discriminator genes. After testing the applicability of this discriminator set, it was subjected to validation using a newly obtained set of 69 samples. Results. The pathological factors in solo or in combinations could not make personalized recurrence prediction, except for partial success with stage II patients. The gene signature, on the other hand, was capable of producing a set of discriminator genes, though the accuracy was yet to be improved. We observed that the best result was obtained when discriminators were selected from stage II CRC samples and used for prognosis of stage II CRC. When stage III cases were included in the process of discriminator extraction or in the process to validate samples, the results were poorer. Finally, we examined 31 independent stage II samples with a set of 30 such discriminators and were able to obtain results with 78 % accuracy, 90 % negative predictive value (NPV), and 55% positive predictive value (PPV). Conclusions. Independent clinicopathological variables were not able to predict prognosis of individual patient, unless the factors are combined. On the other hand, gene signatures allowed accurate prediction of prognosis for individuals, especially with stage II CRC, suggesting its potential use for selection of best treatment option for individual patients. The accuracy of discriminator prediction will be further improved when we take the evolution of CRC into consideration.
2009-07-02 | GSE12032 | GEO
Project description:Distant metastasis is the major causes of death in colorectal cancer (CRC) patients. In order to identify genes influencing the prognosis of patients with CRC, we compared gene expression in primary tumors with and without distant metastasis using an oligonucleotide microarray. We also examined the expression of the candidate gene in 100 CRC patients by quantitative real-time reverse transcription PCR and studied the relationship between its expression and the prognosis of patients with CRC. As a result, we identified MUC12 as a candidate gene involved in metastasis processes by microarray analysis. Quantitative real-time reverse transcription PCR showed that MUC12 expression was significantly lower in cancer tissues than in adjacent normal tissues (P < 0.001). In stage II and stage III CRC, patients with low expression showed worse disease-free survival (P = 0.038). Multivariate analysis disclosed that MUC12 expression status was an independent prognostic factor in stage II and stage III CRC (relative risk, 9.532; 95% confidence interval, 2.303-41.905; P = 0.002). This study revealed the prognostic value of MUC12 expression in CRC patients. Moreover, our result suggests MUC12 expression is a possible candidate gene for assessing postoperative adjuvant therapy for CRC patients. Total of 111 microarray datasets (77 for LCM samples, and 17 pairs for homogenized samples from tumor and adjacent tissues) were normalized using robust multi-array average (RMA) method under R 2.6.2 statistical software together with BioConductor package, as described previously. Then, the gene expression levels were log2-transformed, and 62 control probe sets were removed for further analysis. In order to identify a set of genes associated with development of metastatic recurrence, we performed Wilcoxon rank-sum test for gene expression differences of 54,613 probe sets between recurrence and non-recurrence groups. Similarly, Wilcoxon singed-rank test was conducted to select genes which showed significant expression difference between tumor and adjacent tissue. Then, we selected a set of genes that satisfied both of above two criteria.
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Project description:Metastasized colorectal cancer (CRC) is associated with a poor prognosis and rapid disease progression. Besides hepatic metastasis, peritoneal carcinomatosis is the major cause of death in UICC stage IV CRC patients. Insights into differential site-specific reconstitution of tumor cells and the corresponding tumor microenvironment are still missing. Here, we analysed the transcriptome of single cells derived from murine multivisceral CRC and gave insight into the inter-metastatic cellular heterogeneity regarding tumor epithelium, stroma and immune cells. Interestingly, we found an intercellular site-specific network of cancer associated fibroblasts and tumor epithelium during peritoneal metastasis as well as an autologous feed-forward loop in cancer stem cells. We furthermore deciphered a metastatic dysfunctional adaptive immunity by a loss of B cell dependent antigen presentation and consecutive effector cell exhaustion. Consequently, we demonstrate the high human-mimicking potential of this murine metastatic CRC model and provide a valid tool for future site-specific preclinical drug testing.
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Project description:Metastasized colorectal cancer (CRC) is associated with a poor prognosis and rapid disease progression. Besides hepatic metastasis, peritoneal carcinomatosis is the major cause of death in UICC stage IV CRC patients. Insights into differential site-specific reconstitution of tumor cells and the corresponding tumor microenvironment are still missing. Here, we analysed the transcriptome of single cells derived from murine multivisceral CRC and gave insight into the inter-metastatic cellular heterogeneity regarding tumor epithelium, stroma and immune cells. Interestingly, we found an intercellular site-specific network of cancer associated fibroblasts and tumor epithelium during peritoneal metastasis as well as an autologous feed-forward loop in cancer stem cells. We furthermore deciphered a metastatic dysfunctional adaptive immunity by a loss of B cell dependent antigen presentation and consecutive effector cell exhaustion. Consequently, we demonstrate the high human-mimicking potential of this murine metastatic CRC model and provide a valid tool for future site-specific preclinical drug testing.
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