MicroRNA epxression patterns can discriminate between patients with oligometastatic and polymetastatic progression
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ABSTRACT:
OTHER RELATED OMICS DATASETS IN: GSE29890
PROVIDER: PRJNA135439 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:This SuperSeries is composed of the following subset Series: GSE25552: microRNA epxression patterns can discriminate between patients with oligometastatic and polymetastatic progression: tissues GSE25967: microRNA epxression patterns can discriminate between patients with oligometastatic and polymetastatic progression: cell lines Refer to individual Series
2010-12-09 | E-GEOD-25968 | biostudies-arrayexpress
Project description:Background Cancer staging and treatment presumes a division into localized or metastatic disease. We proposed an intermediate state defined by ≤5 cumulative metastasis(es), termed oligometastases. In contrast to widespread polymetastases, oligometastatic patients may benefit from metastasis-directed local treatments. However, many patients who initially present with oligometastases progress to polymetastases. Predictors of progression could improve patient selection for metastasis-directed therapy. Methods Here, we identified patterns of microRNA expression of tumor samples from oligometastatic patients treated with high-dose radiotherapy. Results Patients who failed to develop polymetastases are characterized by unique prioritized features of a microRNA classifier that includes the microRNA-200 family. We created an oligometastatic-polymetastatic xenograft model in which the patient-derived microRNAs discriminated between the two metastatic outcomes. MicroRNA-200c enhancement in an oligometastatic cell line resulted in polymetastatic progression. Conclusions These results demonstrate a biological basis for oligometastases and a potential for using microRNA expression to identify patients most likely to remain oligometastatic after metastasis-directed treatment.
2010-11-25 | GSE25552 | GEO
Project description:microRNA epxression patterns can discriminate between patients with oligometastatic and polymetastatic progression: tissues
| PRJNA142645 | ENA
Project description:microRNA epxression patterns can discriminate between patients with oligometastatic and polymetastatic progression: cell lines
| PRJNA142367 | ENA
Project description:Cancer staging and treatment frequently assume a binary division of tumors into localized or metastatic cancers. We proposed a state of metastatic disease defined by the number of metastases termed oligometastases. Patients with oligometastatic disease may be cured with localized methods of cancer treatment. We analyzed miRNA expression from paraffin blocks of primary or metastatic tumor samples derived from oligometastatic (≤ 5 metastases) patients treated with high dose localized radiotherapy. We report patterns of miRNA expression in the metastatic and primary tumor samples that identify patients who failed to progress to widespread polymetastases. We created a model of oligometastases of human tumors in immune compromised mice. The miRNA patterns of gene expression derived from patients accurately identified oligometastatic patterns in the mouse model as compared to animals that developed widespread metastases. MiRNA signatures may identify patients most likely to benefit from aggressive curative treatment of limited metastatic disease. Tissues: We collected samples from 5 patients with both primary and metastatic tumors available for analysis, 20 patients with primary tumors only, and 9 patients with metastatic tumors only. Eleven of these patients were analyzed retrospectively, while 23 patients were included prospectively from a previously reported radiotherapy protocol for oligometastatsis. Total RNA were derived from FFPE primary and metastatic tissue samples.
2010-11-25 | E-GEOD-25552 | biostudies-arrayexpress
Project description:Cancer staging and treatment frequently assume a binary division of tumors into localized or metastatic cancers. We proposed a state of metastatic disease defined by the number of metastases termed oligometastases. Patients with oligometastatic disease may be cured with localized methods of cancer treatment. We analyzed miRNA expression from paraffin blocks of primary or metastatic tumor samples derived from oligometastatic (? 5 metastases) patients treated with high dose localized radiotherapy. We report patterns of miRNA expression in the metastatic and primary tumor samples that identify patients who failed to progress to widespread polymetastases. We created a model of oligometastases of human tumors in immune compromised mice. The miRNA patterns of gene expression derived from patients accurately identified oligometastatic patterns in the mouse model as compared to animals that developed widespread metastases. MiRNA signatures may identify patients most likely to benefit from aggressive curative treatment of limited metastatic disease. Injection of MDA-MB-435-GFP cancer cells into the mammary fat pad of female athymic mice to develop spontaneous macroscopic lung metastasis. Tail vein experimental lung colonization assay was performed to model the development of MDA-MB-435-GFP Oligo- or Poly-metastases in the lung in vivo.
2010-12-09 | GSE25967 | GEO
Project description:Cancer staging and treatment frequently assume a binary division of tumors into localized or metastatic cancers. We proposed a state of metastatic disease defined by the number of metastases termed oligometastases. Patients with oligometastatic disease may be cured with localized methods of cancer treatment. We analyzed miRNA expression from paraffin blocks of primary or metastatic tumor samples derived from oligometastatic (? 5 metastases) patients treated with high dose localized radiotherapy. We report patterns of miRNA expression in the metastatic and primary tumor samples that identify patients who failed to progress to widespread polymetastases. We created a model of oligometastases of human tumors in immune compromised mice. The miRNA patterns of gene expression derived from patients accurately identified oligometastatic patterns in the mouse model as compared to animals that developed widespread metastases. MiRNA signatures may identify patients most likely to benefit from aggressive curative treatment of limited metastatic disease. Injection of MDA-MB-435-GFP cancer cells into the mammary fat pad of female athymic mice to develop spontaneous macroscopic lung metastasis. Tail vein experimental lung colonization assay was performed to model the development of MDA-MB-435-GFP Oligo- or Poly-metastases in the lung in vivo. Cell lines: Total RNA were derived from MDA-MB-435-L1-GFP (Ol-like) or MDA-MB-435-L1Mic (Poly-like) cell lines.
2010-12-09 | E-GEOD-25967 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the SubSeries listed below.
2010-12-09 | GSE25968 | GEO
Project description:This study investigates the predictive and prognostic values of inflammatory markers and microRNA in stage IV colorectal cancer. The expression of inflammatory markers and microRNA in plasma will be correlated with tumor location, with dietary patterns and with survival during treatment.
| 2320890 | ecrin-mdr-crc
Project description:Each infectious agent represents a unique combination of pathogen-associated molecular patterns that interact with specific pattern-recognition receptors expressed on immune cells. Therefore, we surmised that the blood immune cells of individuals with different infections might bear discriminative transcriptional signatures. Gene expression profiles were obtained for 131 peripheral blood samples from pediatric patients with acute infections caused by influenza A virus, Gram-negative (Escherichia coli) or Gram-positive (Staphylococcus aureus and Streptococcus pneumoniae) bacteria. Thirty-five genes were identified that best discriminate patients with influenza A virus infection from patients with either E coli or S pneumoniae infection. These genes classified with 95% accuracy (35 of 37 samples) an independent set of patients with either influenza A, E coli, or S pneumoniae infection. A different signature discriminated patients with E coli versus S aureus infections with 85% accuracy (34 of 40). Furthermore, distinctive gene expression patterns were observed in patients presenting with respiratory infections of different etiologies. Thus, microarray analyses of patient peripheral blood leukocytes might assist in the differential diagnosis of infectious diseases. Keywords: expression analysis
2007-03-16 | GSE6269 | GEO