Lung adenocarcinoma subtypes definable by lung development-related miRNA expression profiles in association with clinicopathologic features
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE51855 | GEO | 2014/06/19
SECONDARY ACCESSION(S): PRJNA225607
REPOSITORIES: GEO
Similar Datasets
Project description:Accumulation of genetic and epigenetic changes alters regulation of a web of interconnected genes including miRNAs, which confer hallmark capabilities and characteristic cancer features. In this study, the miRNA and mRNA expression profiles of 126 non-small cell lung cancer specimens were analyzed, with special attention given to the diversity of lung adenocarcinomas. Of those, 76 adenocarcinomas were classified into two major subtypes, developing lung-like and adult lung-like, based on their distinctive miRNA expression profiles resembling those of either developing or adult lungs, respectively. A systems biology-based approach using a Bayesian network and nonparametric regression was employed to estimate the gene regulatory circuitry functioning in patient tumors in order to identify subnetworks enriched for genes with differential expression between the two major subtypes. miR-30d and miR-195, identified as hub genes in such subnetworks, had lower levels of expression in the developing lung-like subtype, while introduction of miR-30d or miR-195 into the lung cancer cell lines evoked shifts of mRNA expression profiles towards the adult lung-like subtype. Conversely, the influence of miR-30d and miR-195 was significantly different between the developing lung- and adult lung-like subtypes in our analysis of the patient dataset. In addition, RRM2, a child gene of the miR-30d-centered subnetwork, was found to be a direct target of miR-30d. Together, our findings reveal the existence of two miRNA expression profile-defined lung adenocarcinoma subtypes with distinctive clinicopathologic features and also suggest the usefulness of a systems biology-based approach to gain insight into the altered regulatory circuitry involved in cancer development. Microarray analysis using a Whole Human Genome 4 x 44K Microarray G4112F (Agilent) was conducted.
| S-ECPF-GEOD-51852 | biostudies-other
Project description:Accumulation of genetic and epigenetic changes alters regulation of a web of interconnected genes including miRNAs, which confer hallmark capabilities and characteristic cancer features. In this study, the miRNA and mRNA expression profiles of 126 non-small cell lung cancer specimens were analyzed, with special attention given to the diversity of lung adenocarcinomas. Of those, 76 adenocarcinomas were classified into two major subtypes, developing lung-like and adult lung-like, based on their distinctive miRNA expression profiles resembling those of either developing or adult lungs, respectively. A systems biology-based approach using a Bayesian network and nonparametric regression was employed to estimate the gene regulatory circuitry functioning in patient tumors in order to identify subnetworks enriched for genes with differential expression between the two major subtypes. miR-30d and miR-195, identified as hub genes in such subnetworks, had lower levels of expression in the developing lung-like subtype, while introduction of miR-30d or miR-195 into the lung cancer cell lines evoked shifts of mRNA expression profiles towards the adult lung-like subtype. Conversely, the influence of miR-30d and miR-195 was significantly different between the developing lung- and adult lung-like subtypes in our analysis of the patient dataset. In addition, RRM2, a child gene of the miR-30d-centered subnetwork, was found to be a direct target of miR-30d. Together, our findings reveal the existence of two miRNA expression profile-defined lung adenocarcinoma subtypes with distinctive clinicopathologic features and also suggest the usefulness of a systems biology-based approach to gain insight into the altered regulatory circuitry involved in cancer development. Microarray analysis using a Whole Human Genome 4 x 44K Microarray G4112F (Agilent) was conducted to examine changes in expression of 400 genes in SiGN network by transfection of Pre-miR-30d, Pre-miR-195 or Pre-miR-NC#2 (Ambion) in SK-LC-7 cells, which were then harvested at 72 hours after transfection.
| S-ECPF-GEOD-51854 | biostudies-other
Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
2014-06-19 | E-GEOD-51855 | biostudies-arrayexpress
Project description:Accumulation of genetic and epigenetic changes alters regulation of a web of interconnected genes including miRNAs, which confer hallmark capabilities and characteristic cancer features. In this study, the miRNA and mRNA expression profiles of 126 non-small cell lung cancer specimens were analyzed, with special attention given to the diversity of lung adenocarcinomas. Of those, 76 adenocarcinomas were classified into two major subtypes, developing lung-like and adult lung-like, based on their distinctive miRNA expression profiles resembling those of either developing or adult lungs, respectively. A systems biology-based approach using a Bayesian network and nonparametric regression was employed to estimate the gene regulatory circuitry functioning in patient tumors in order to identify subnetworks enriched for genes with differential expression between the two major subtypes. miR-30d and miR-195, identified as hub genes in such subnetworks, had lower levels of expression in the developing lung-like subtype, while introduction of miR-30d or miR-195 into the lung cancer cell lines evoked shifts of mRNA expression profiles towards the adult lung-like subtype. Conversely, the influence of miR-30d and miR-195 was significantly different between the developing lung- and adult lung-like subtypes in our analysis of the patient dataset. In addition, RRM2, a child gene of the miR-30d-centered subnetwork, was found to be a direct target of miR-30d. Together, our findings reveal the existence of two miRNA expression profile-defined lung adenocarcinoma subtypes with distinctive clinicopathologic features and also suggest the usefulness of a systems biology-based approach to gain insight into the altered regulatory circuitry involved in cancer development. Microarray analysis using a Whole Human Genome 4 x 44K Microarray G4112F (Agilent) was conducted.
2014-06-19 | E-GEOD-51852 | biostudies-arrayexpress
Project description:Accumulation of genetic and epigenetic changes alters regulation of a web of interconnected genes including miRNAs, which confer hallmark capabilities and characteristic cancer features. In this study, the miRNA and mRNA expression profiles of 126 non-small cell lung cancer specimens were analyzed, with special attention given to the diversity of lung adenocarcinomas. Of those, 76 adenocarcinomas were classified into two major subtypes, developing lung-like and adult lung-like, based on their distinctive miRNA expression profiles resembling those of either developing or adult lungs, respectively. A systems biology-based approach using a Bayesian network and nonparametric regression was employed to estimate the gene regulatory circuitry functioning in patient tumors in order to identify subnetworks enriched for genes with differential expression between the two major subtypes. miR-30d and miR-195, identified as hub genes in such subnetworks, had lower levels of expression in the developing lung-like subtype, while introduction of miR-30d or miR-195 into the lung cancer cell lines evoked shifts of mRNA expression profiles towards the adult lung-like subtype. Conversely, the influence of miR-30d and miR-195 was significantly different between the developing lung- and adult lung-like subtypes in our analysis of the patient dataset. In addition, RRM2, a child gene of the miR-30d-centered subnetwork, was found to be a direct target of miR-30d. Together, our findings reveal the existence of two miRNA expression profile-defined lung adenocarcinoma subtypes with distinctive clinicopathologic features and also suggest the usefulness of a systems biology-based approach to gain insight into the altered regulatory circuitry involved in cancer development. Microarray analysis was conducted to examine miRNA expression profiles using a Human miRNA Microarray, pre-commercial version 6.0 (Agilent) with 470 miRNA probes, according to the manufacturer’s instructions
2014-06-19 | E-GEOD-51853 | biostudies-arrayexpress
Project description:Accumulation of genetic and epigenetic changes alters regulation of a web of interconnected genes including miRNAs, which confer hallmark capabilities and characteristic cancer features. In this study, the miRNA and mRNA expression profiles of 126 non-small cell lung cancer specimens were analyzed, with special attention given to the diversity of lung adenocarcinomas. Of those, 76 adenocarcinomas were classified into two major subtypes, developing lung-like and adult lung-like, based on their distinctive miRNA expression profiles resembling those of either developing or adult lungs, respectively. A systems biology-based approach using a Bayesian network and nonparametric regression was employed to estimate the gene regulatory circuitry functioning in patient tumors in order to identify subnetworks enriched for genes with differential expression between the two major subtypes. miR-30d and miR-195, identified as hub genes in such subnetworks, had lower levels of expression in the developing lung-like subtype, while introduction of miR-30d or miR-195 into the lung cancer cell lines evoked shifts of mRNA expression profiles towards the adult lung-like subtype. Conversely, the influence of miR-30d and miR-195 was significantly different between the developing lung- and adult lung-like subtypes in our analysis of the patient dataset. In addition, RRM2, a child gene of the miR-30d-centered subnetwork, was found to be a direct target of miR-30d. Together, our findings reveal the existence of two miRNA expression profile-defined lung adenocarcinoma subtypes with distinctive clinicopathologic features and also suggest the usefulness of a systems biology-based approach to gain insight into the altered regulatory circuitry involved in cancer development. Microarray analysis using a Whole Human Genome 4 x 44K Microarray G4112F (Agilent) was conducted to examine changes in expression of 400 genes in SiGN network by transfection of Pre-miR-30d, Pre-miR-195 or Pre-miR-NC#2 (Ambion) in SK-LC-7 cells, which were then harvested at 72 hours after transfection.
2014-06-19 | E-GEOD-51854 | biostudies-arrayexpress
Project description:Accumulation of genetic and epigenetic changes alters regulation of a web of interconnected genes including miRNAs, which confer hallmark capabilities and characteristic cancer features. In this study, the miRNA and mRNA expression profiles of 126 non-small cell lung cancer specimens were analyzed, with special attention given to the diversity of lung adenocarcinomas. Of those, 76 adenocarcinomas were classified into two major subtypes, developing lung-like and adult lung-like, based on their distinctive miRNA expression profiles resembling those of either developing or adult lungs, respectively. A systems biology-based approach using a Bayesian network and nonparametric regression was employed to estimate the gene regulatory circuitry functioning in patient tumors in order to identify subnetworks enriched for genes with differential expression between the two major subtypes. miR-30d and miR-195, identified as hub genes in such subnetworks, had lower levels of expression in the developing lung-like subtype, while introduction of miR-30d or miR-195 into the lung cancer cell lines evoked shifts of mRNA expression profiles towards the adult lung-like subtype. Conversely, the influence of miR-30d and miR-195 was significantly different between the developing lung- and adult lung-like subtypes in our analysis of the patient dataset. In addition, RRM2, a child gene of the miR-30d-centered subnetwork, was found to be a direct target of miR-30d. Together, our findings reveal the existence of two miRNA expression profile-defined lung adenocarcinoma subtypes with distinctive clinicopathologic features and also suggest the usefulness of a systems biology-based approach to gain insight into the altered regulatory circuitry involved in cancer development.
2014-06-19 | GSE51853 | GEO
Project description:Accumulation of genetic and epigenetic changes alters regulation of a web of interconnected genes including miRNAs, which confer hallmark capabilities and characteristic cancer features. In this study, the miRNA and mRNA expression profiles of 126 non-small cell lung cancer specimens were analyzed, with special attention given to the diversity of lung adenocarcinomas. Of those, 76 adenocarcinomas were classified into two major subtypes, developing lung-like and adult lung-like, based on their distinctive miRNA expression profiles resembling those of either developing or adult lungs, respectively. A systems biology-based approach using a Bayesian network and nonparametric regression was employed to estimate the gene regulatory circuitry functioning in patient tumors in order to identify subnetworks enriched for genes with differential expression between the two major subtypes. miR-30d and miR-195, identified as hub genes in such subnetworks, had lower levels of expression in the developing lung-like subtype, while introduction of miR-30d or miR-195 into the lung cancer cell lines evoked shifts of mRNA expression profiles towards the adult lung-like subtype. Conversely, the influence of miR-30d and miR-195 was significantly different between the developing lung- and adult lung-like subtypes in our analysis of the patient dataset. In addition, RRM2, a child gene of the miR-30d-centered subnetwork, was found to be a direct target of miR-30d. Together, our findings reveal the existence of two miRNA expression profile-defined lung adenocarcinoma subtypes with distinctive clinicopathologic features and also suggest the usefulness of a systems biology-based approach to gain insight into the altered regulatory circuitry involved in cancer development.
2014-06-19 | GSE51854 | GEO
Project description:Accumulation of genetic and epigenetic changes alters regulation of a web of interconnected genes including miRNAs, which confer hallmark capabilities and characteristic cancer features. In this study, the miRNA and mRNA expression profiles of 126 non-small cell lung cancer specimens were analyzed, with special attention given to the diversity of lung adenocarcinomas. Of those, 76 adenocarcinomas were classified into two major subtypes, developing lung-like and adult lung-like, based on their distinctive miRNA expression profiles resembling those of either developing or adult lungs, respectively. A systems biology-based approach using a Bayesian network and nonparametric regression was employed to estimate the gene regulatory circuitry functioning in patient tumors in order to identify subnetworks enriched for genes with differential expression between the two major subtypes. miR-30d and miR-195, identified as hub genes in such subnetworks, had lower levels of expression in the developing lung-like subtype, while introduction of miR-30d or miR-195 into the lung cancer cell lines evoked shifts of mRNA expression profiles towards the adult lung-like subtype. Conversely, the influence of miR-30d and miR-195 was significantly different between the developing lung- and adult lung-like subtypes in our analysis of the patient dataset. In addition, RRM2, a child gene of the miR-30d-centered subnetwork, was found to be a direct target of miR-30d. Together, our findings reveal the existence of two miRNA expression profile-defined lung adenocarcinoma subtypes with distinctive clinicopathologic features and also suggest the usefulness of a systems biology-based approach to gain insight into the altered regulatory circuitry involved in cancer development.
2014-06-19 | GSE51852 | GEO
Project description:Background: Recent studies have identified several molecular subtypes of lung adenocarcinoma (LUAD) that have different prognoses to help predict the efficacy of immunotherapy. However, the prognostic prediction is less than satisfactory. Alterations in intracellular copper levels may affect the tumor immune microenvironment and are linked to cancer progression. Previous studies have identified some genes related to cuproptosis. The characteristics of the cuproptosis molecular subtypes have not been thoroughly studied in LUAD. Methods: The transcriptomic data and clinical information of 632 LUAD patients were used to investigate the LUAD molecular subtypes that are associated with the cuproptosis-related genes (CRGs), the tumor immune microenvironment, and stemness. The cuproptosis score was constructed using univariate Cox regression and the minor absolute shrinkage and selection operator (LASSO) to quantify the prognostic characteristics. Results: Three different molecular subtypes related to cuproptosis, with different prognoses, were identified in LUAD. Cluster A had the highest cuproptosis score and the worst prognosis. Patients in the high cuproptosis score group had a higher somatic mutation frequency and stemness scores. Patients in the low cuproptosis score group had more immune infiltration and better prognosis. Conclusion: Molecular subtypes of LUAD based on CRGs reflect the differences in LUAD patients. The cuproptosis score can be used as a promising biomarker, which is of great significance to distinguish the relationship between cuproptosis and the immune microenvironment. The cuproptosis signature based on the cuproptosis score and clinical characteristics of individual patients will be useful for guiding immunotherapy in LUAD.
| S-EPMC9597639 | biostudies-literature