Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Reactivation of multiple fetal miRNAs in lung adenocarcinoma

ABSTRACT: MicroRNAs (miRNAs) play vital roles in the regulation of normal developmental pathways. However, cancer cells can co-opt these miRNAs, and the pathways that they regulate, to drive pro-tumourigenic phenotypes. Characterization of the miRNA transcriptomes of fetal organs is essential for identifying these oncofetal miRNAs, but it has been limited by fetal sample availability. As oncofetal miRNAs are absent from healthy adult lungs, they represent ideal targets for developing diagnostic and therapeutic strategies. We conducted small RNA sequencing of a rare collection of 25 human fetal lung (FL) samples, and compared them to two independent cohorts (n = 140, n = 427), each comprised of adult non-neoplastic lung (ANL) and lung adenocarcinoma (LUAD) samples. We identified 13 oncofetal miRNAs that were expressed in FL and LUAD but not in ANL. These oncofetal miRNAs are potential biomarkers for LUAD detection (AUC = 0.963). Five of these miRNAs are derived from the imprinted C14MC miRNA cluster at the 14q32 locus, which has been associated with cancer development and abnormal fetal and placental development. Additionally, we observed the pulmonary expression of 44 previously unannotated miRNAs. The sequencing of these fetal lung samples also provides a baseline resource against which aberrant samples can be compared.

ORGANISM(S): Homo sapiens

PROVIDER: GSE175462 | GEO | 2021/05/29

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Developmental transcription factor NFIB is a putative target of oncofetal miRNAs and is associated with tumour aggressiveness in lung adenocarcinoma

Project description:Genes involved in fetal lung development are thought to play crucial roles in the malignant transformation of adult lung cells. Consequently, the study of lung tumour biology in the context of lung development has the potential to reveal key developmentally relevant genes that play critical roles in lung cancer initiation/progression. Here, we describe for the first time a comprehensive characterization of miRNA expression in human fetal lung tissue, with subsequent identification of 37 miRNAs in non-small cell lung cancer (NSCLC) that recapitulate their fetal expression patterns. Nuclear Factor I/B (NFIB), a transcription factor essential for lung development, was identified as a potential frequent target for these “oncofetal” miRNAs.

2017-06-16 | GSE83527 | GEO

Modulation of gene expression after inducing expression of 14q32 miRNAs by CRISPR activation technology in lung adenocarcinoma

Project description:Most lung adenocarcinoma deaths are related to metastases, indicating the necessity of detecting and inhibiting tumor cell dissemination. We have identified that overexpression of miRNAs located on 14q32 was associated with metastasis in lung adenocarcinoma patients. For functional analysis, we utilized CRISPR activation technology to increase levels of miRNAs clustered on 14q32 in a coordinated manner, and the results showed that 14q32 miRNA overexpression promoted tumor cell migratory and invasive properties. Whole transcriptome microarray analysis of the miRNA-overexpressing cells was performed to define the underlying molecular mechanisms. Microarray analysis was used to investigate the gene expression changes underlying the tumor cell migratory and invasive properties induced by 14q32 miRNAs in lung adenocarcinoma.

2018-03-12 | GSE99050 | GEO

Deregulated Expression of the 14q32 miRNA Cluster in Clear Cell Renal Cell Carcinomas

Project description:Clear cell renal cell carcinomas (ccRCC) are characterized by arm-wide chromosomal alterations. Loss at 14q is associated with disease aggressiveness in ccRCC, which responds poorly to chemotherapeutics. The 14q locus contains one of the largest miRNA clusters in the human genome; however, little is known about the contribution of these miRNAs to ccRCC pathogenesis. In this regard, we investigated the expression pattern of selected miRNAs at the 14q32 locus in TCGA kidney tumors and in ccRCC cell lines. We validated that the miRNA cluster is downregulated in ccRCC (and cell lines) as well as in papillary kidney tumors relative to normal kidney tissues and primary renal proximal tubule epithelial (RPTEC) cells. We demonstrated that agents modulating expression of DNMT1 (e.g., 5-Aza-deoxycytidine) could modulate miRNA expression in ccRCC cell lines. Lysophosphatidic acid (LPA, a Lysophospholipid mediator elevated in ccRCC) not only increased labile iron content but also modulated expression of 14q32 miRNAs. Through an overexpression approach targeting a subset of 14q32 miRNAs (specifically at subcluster A: miR-431, miR-432, miR-127, and miR-433) in 769-P cells, we uncovered changes in cellular viability and claudin-1, a tight junction marker. A global proteomic approach was implemented using these miRNA overexpressing cell lines which uncovered ATXN2 as a highly downregulated target, which has a role in chronic kidney disease pathogenesis. Collectively, these findings support a contribution of miRNAs at 14q32 in ccRCC pathogenesis.

2023-05-10 | PXD036428 | Pride

Screen for the lncRNAs that are specificly upregulated in fetal liver by microarry analysis

Project description:To identify oncofetal lncRNAs that are specificly upregulated in fetal liver, we analyzed the expression profiles of lncRNAs in human fetal livers (3 samples) and adult livers (3 samples) using microarray assays.

2023-03-15 | GSE225635 | GEO

Proteomic changes between primary tumors and matched distant metastases of lung adenocarcinomas

Project description:Lung cancer is the leading cause of cancer-related deaths worldwide and lung adenocarcinoma is the most common form of lung cancer. Genomic studies of lung adenocarcinoma (LUAD) have advanced our understanding of the disease's biology and accelerated targeted therapy. However, the proteomic characteristics of LUAD are still insufficiently understood. Prognosis for lung cancer patients remains poor and is strongly related to the stage of disease at the time of diagnosis. Therefore, our study focuses on metastasis formation in LUAD. We performed high-performance liquid chromatography (HPLC) and electrospray ionization tandem mass spectrometry (ESI-MS/MS) on a total of 40 FFPE samples and compared proteomic profiles of primary tumors to those of matched distant metastases. Using differential expression analysis and unsupervised clustering we identified candidate proteins playing a role in metastatic spread. Selected proteins were validated by immunoblotting. Our findings give a better understanding of tumor progression and metastasis formation in LUAD and might help to develop biomarker specific therapy.

2023-11-28 | PXD042604 | Pride

Improved lung cancer classification by employing diverse molecular features of microRNAs

Project description:Lung adenocarcinoma (LUAD) is one of the most common pathological and histological subtypes of primary lung cancer, with high morbidity and mortality. MicroRNAs (miRNAs) are endogenous small non-coding RNAs that regulate the expression of genes at post-transcriptional level. It was reported that A-to-I miRNA editing was decreased in tumors, suggesting the potential value of miRNA editing in cancer classification. However, existing miRNA-based cancer classification models mainly used the frequencies of miRNAs. In order to validate the contribution of miRNA editing information in cancer classification, we extracted three types of miRNA features, including the abundances of original miRNAs, the abundances of edited miRNAs, and the editing levels of miRNA editing sites. Our results show that four classification algorithms selected, i.e., kNN, C4.5, RF and SVM, generally had better performances on all features than on the abundances of miRNAs alone. Since the number of features were large, we used three feature selection (FS) methods to further improve the classification models. One of the FS methods, the DFL algorithm, selected only three features, i.e., the frequencies of hsa-miR-135b-5p, hsa-miR-210-3p and hsa-miR-182 48u (an edited miRNA), from 316 training samples. And all of the four classification algorithms achieved 100% accuracy on these three features for 79 independent testing samples. These results indicate that the additional information of miRNA editing are useful in improving the classification of LUAD samples. And the three miRNAs selected by DFL potentially represent an effective molecular signature for LUAD diagnosis.

2024-02-22 | GSE244311 | GEO

Circulating miR-16-5p, miR-92a-3p, and miR-451a in plasma from lung cancer patients: potential application in early detection and a regulatory role in tumorigenesis pathways.

Project description:Micro(mi)RNAs, potent gene expression regulators associated with tumorigenesis, are stable, abundant circulating molecules,that are detectable in plasma. Thus, miRNAs could potentially be useful in early lung cancer detection.We aimed to identify circulating miRNA signatures in plasma from patients with lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC), and to verify whether miRNAs regulate pathways of lung oncogenesis.

2020-09-08 | GSE152702 | GEO

Integrative multi-omic analysis of the SWI/SNF complex defines a new clinical subgroup of lung adenocarcinoma patients

Project description:Mammalian SWI/SNF complexes are ATP-dependent chromatin remodelers composed of varying combinations of subunits that, together, fine-tune transcriptional regulation and genome integrity. SWI/SNF complex subunits have been identified as major targets of mutations in several tumor types suggesting a relevant role in tumorigenesis. However, there is a lack of comprehensive studies of the whole SWI/SNF complex in lung adenocarcinoma (LUAD). Here, we combined genomic, transcriptomic, and proteomic approaches to identify which SWI/SNF subunits are present in lung cells, as well as their mutational status, mRNA levels, and protein levels in LUAD. For these purposes, we combined data from LUAD primary tumors, normal lung and LUAD cell lines, and external LUAD data from The Cancer Genome Atlas. Importantly, we found that mutations in the SWI/SNF complex in LUAD not only present a high incidence but we also observed that only the mutational status of the SWI/SNF complex and not the mutations in any of the top ten LUAD driver genes is associated with poorer overall survival in LUAD patients. Furthermore, we showed that the expression of the SWI/SNF complex in LUAD suffers an overall repression that cannot be explained exclusively by genetic alterations. Based on our findings, we propose that SWI/SNF-mutant LUAD tumors should be considered as a distinct subgroup with practical applications in the prognosis and follow-up of LUAD patients.

2022-04-01 | PXD017397 | Pride

A novel lncRNA, LUADT1 promotes lung adenocarcinoma proliferation by epigenetic suppression of p27

Project description:Long noncoding RNAs (lncRNAs) are known to regulate the development and progression of various cancers, however, few lncRNAs have been well characterized in lung adenocarcinoma (LUAD). Understanding the expression profile of lncRNAs and protein-coding genes is critical to develop new diagnosis and treatment strategies for LUAD and improving the prognosis of diagnosed patients. Five female LUAD patients with no smoking history were selected to profile lncRNA and protein-coding gene expression with microarrays. Paired tumor tissues and adjacent nontumor tissues were collected and confirmed by pathologists.

2015-03-10 | E-GEOD-66654 | biostudies-arrayexpress

Deciphering the immunopeptidome in vivo reveals novel tumor antigens

Project description:Effective immunosurveillance of cancer requires the presentation of peptide antigens on major histocompatibility complex Class I (MHC-I). Recent developments in proteomics have improved the identification of peptides that are naturally presented by MHC-I, collectively known as the “immunopeptidome”. Current approaches to profile tumor immunopeptidomes have been limited to in vitro investigation, which fails to capture the in vivo repertoire of MHC-I peptides, or bulk tumor lysates, which are obscured by the lack of cancer cell-specific MHC-I isolation. To overcome these limitations, we report here the engineering of a Cre recombinase-inducible affinity tag into the endogenous mouse MHC-I gene and targeting of this allele to the KrasLSL-G12D/+; p53fl/fl (KP) mouse model (KP/KbStrep). This novel approach has allowed us to precisely isolate MHC-I peptides from autochthonous pancreatic ductal adenocarcinoma (PDAC) and lung adenocarcinoma (LUAD) in vivo. With this powerful analytical tool, we were able to profile the evolution of the LUAD immunopeptidome from the alveolar type 2 cell-of-origin through late-stage disease. Differential peptide presentation in LUAD is not driven by increased mRNA expression or translation rate and is likely driven by post-translational mechanisms. Vaccination of mice with peptides presented by LUAD in vivo provoked CD8 T-cell responses in naïve and tumor bearing mice. Many peptides unique to LUAD, including immunogenic peptides, exhibited very low expression of the cognate mRNA provoking reconsideration of antigen prediction pipelines that triage peptides according to transcript abundance. Beyond cancer, the KbStrep allele is compatible with a broad range of Cre-driver lines to explore antigen presentation in vivo in the pursuit of understanding basic immunology, infectious disease, and autoimmunity.

2022-06-20 | PXD033232 | Pride

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data