Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

SETDB2 inhibits thyroid cancer progression by regulating the expression of the splicing factor U2AF1

ABSTRACT: Objective: This study aimed to investigate SETDB2 expression, clinical significance, and molecular mechanism in thyroid cancer progression. Methods: SETDB2 expression and prognosis were analyzed using TCGA and CPTAC databases, and validated by immunohistochemistry in 90 clinical samples (primary, recurrent, metastatic papillary, and anaplastic carcinoma). Overexpression and knockdown models were established in BCPAP and BHT101 cells. Proliferation was assessed by CCK‑8, colony formation, and EdU assays. RNA‑seq and qPCR identified downstream targets, with rescue experiments via U2AF1 overexpression. Results: SETDB2 was significantly downregulated in recurrent and metastatic papillary and anaplastic thyroid carcinoma, and low expression correlated with poor prognosis. SETDB2 overexpression suppressed proliferation and colony formation in anaplastic BHT101 cells, whereas knockdown promoted growth in papillary BCPAP cells. U2AF1 was identified as a key downstream target, and its overexpression partially reversed the inhibitory effects of SETDB2 on proliferation. Conclusion: SETDB2 acts as a tumor suppressor in thyroid cancer; its loss promotes progression, likely through regulating U2AF1. The SETDB2‑U2AF1 axis represents a potential therapeutic target.

ORGANISM(S): Homo sapiens

PROVIDER: GSE342848 | GEO | 2026/08/11

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Validation of the Personalized Gene Therapy by stably transfection of PANK2 in the papillary (BCPAP) and anaplastic (8505C) thyroid cancer cell lines

Project description:An ideal cancer gene therapy would selectively destroy the cancer cells without affecting much the healthy tissue. This would be possible if and only if the cancer and normal cells of the tumor are governed by distinct gene master regulators (GMRs). Logic dictates that, while being strongly protected by the homeostatic mechanisms, expression of a GMR governs the phenotype by modulating major functional pathways through controlling the expression of the involved genes. We determined the GMRs of the standard papillary (BCPAP) and anaplastic (8505C) thyroid cancer cell lines. The hierarchy of the known biomarkers was established based on their gene commanding height (GCH), an original measure combining the expression control and coordination with expression of other genes. We found that the sets of the GMRs are largely different in the two thyroid cancer cell lines, indicatibg that each type of thyroid cancer needs a different gene-targeting therapy. In this experiment, we determined the transcriptomic effects of the stable transfection of PANK2 gene In the papillary (BCPAP) and anaplastic (8505C) thyroid cancer cell lines. PANK2 was selected because it has significantly different GCHs in the two cell lines: 44.64 in BCPAP and 3.61 in 8505C. The significantly more up- and down-regulated genes in the transfected BCPAP than in the transfected 8505C cells compared to their untransfected counterparts validated the theory and indicated the usefulness of our personalized gene therapy approach.

2017-03-25 | GSE97030 | GEO

Validation of the Personalized Gene Therapy by stably transfection of DDX19B in the papillary (BCPAP) and anaplastic (8505C) thyroid cancer cell lines

Project description:An ideal cancer gene therapy would selectively destroy the cancer cells without affecting much the healthy tissue. This would be possible if and only if the cancer and normal cells of the tumor are governed by distinct gene master regulators (GMRs). Logic dictates that, while being strongly protected by the homeostatic mechanisms, expression of a GMR governs the phenotype by modulating major functional pathways through controlling the expression of the involved genes. We determined the GMRs of the standard papillary (BCPAP) and anaplastic (8505C) thyroid cancer cell lines. The hierarchy of the known biomarkers was established based on their gene commanding height (GCH), an original measure combining the expression control and coordination with expression of other genes. We found that the sets of the GMRs are largely different in the two thyroid cancer cell lines, indicatibg that each type of thyroid cancer needs a different gene-targeting therapy. In this experiment, we determined the transcriptomic effects of the stable transfection of DDX19B gene In the papillary (BCPAP) and anaplastic (8505C) thyroid cancer cell lines. DDX19B was selected because it has significantly different GCHs in the two cell lines: 1.64 in BCPAP and 6.03 in 8505C. The significantly more up- and down-regulated genes in the transfected 8505C than in the transfected BCPAP cells compared to their untransfected counterparts validated the theory and indicated the usefulness of our personalized gene therapy approach.

2017-03-25 | GSE97028 | GEO

Validation of the Personalized Gene Therapy by stably transfection of NEMP1 (TMEM194A) in the papillary (BCPAP) and anaplastic (8505C) thyroid cancer cell lines

Project description:An ideal cancer gene therapy would selectively destroy the cancer cells without affecting much the healthy tissue. This would be possible if and only if the cancer and normal cells of the tumor are governed by distinct gene master regulators (GMRs). Logic dictates that, while being strongly protected by the homeostatic mechanisms, expression of a GMR governs the phenotype by modulating major functional pathways through controlling the expression of the involved genes. We determined the GMRs of the standard papillary (BCPAP) and anaplastic (8505C) thyroid cancer cell lines. The hierarchy of the known biomarkers was established based on their gene commanding height (GCH), an original measure combining the expression control and coordination with expression of other genes. We found that the sets of the GMRs are largely different in the two thyroid cancer cell lines, indicatibg that each type of thyroid cancer needs a different gene-targeting therapy. In this experiment, we determined the transcriptomic effects of the stable transfection of NEMP1 (TMEM194A) gene encoding a nuclear envelope protein in the papillary (BCPAP) and anaplastic (8505C) thyroid cancer cell lines. NEMP1 was selected because it has significantly different GCHs in the two cell lines: 5.95 in BCPAP and 0.40 in 8505C. The significantly more up- and down-regulated genes in the transfected BCPAP than in the transfected 8505C cells compared to their untransfected counterparts validated the theory and indicated the usefulness of our personalized gene therapy approach.

2017-03-25 | GSE97031 | GEO

Human Papillary thyroid cancer cell line, BCPAP control vs. miR-146b-5p mimic transfected

Project description:Transcriptional profiling of human papillary thyroid cancer cells comparing control untreated BCPAP cells with BCPAP cells transfected with miR-145b-5p mimic.

2015-12-17 | GSE76050 | GEO

Human Papillary thyroid cancer cell line, BCPAP control vs. miR-146b-5p mimic transfected

Project description:Transcriptional profiling of human papillary thyroid cancer cells comparing control untreated BCPAP cells with BCPAP cells transfected with miR-145b-5p mimic. Two-condition experiment, BCPAP cells vs. miR-146b-5p transfexted BCPAP cells. Biological replicates: 1 control sample, 1 transfected sample.

2015-12-17 | E-GEOD-76050 | biostudies-arrayexpress

Papillary thyroid cancer cell lines treated with Y15

Project description:3 papillary thyroid cancer cell lines were compared, treated with Y15 to untreated. 1 million cells of each papillary thyroid cell line (TPC1, K1, BCPAP) were plated, treated 24 hours later with 10uM Y15, and collected 24 hours later by trypsinization.

2014-03-06 | E-GEOD-55603 | biostudies-arrayexpress

Validation of the Personalized Gene Therapy by stably transfection of UBALD1 in the papillary (BCPAP) and anaplastic (8505C) thyroid cancer cell lines

Project description:An ideal cancer gene therapy would selectively destroy the cancer cells without affecting much the healthy tissue. This would be possible if and only if the cancer and normal cells of the tumor are governed by distinct gene master regulators (GMRs). Logic dictates that, while being strongly protected by the homeostatic mechanisms, expression of a GMR governs the phenotype by modulating major functional pathways through controlling the expression of the involved genes. We determined the GMRs of the standard papillary (BCPAP) and anaplastic (8505C) thyroid cancer cell lines. The hierarchy of the known biomarkers was established based on their gene commanding height (GCH), an original measure combining the expression control and coordination with expression of other genes. We found that the sets of the GMRs are largely different in the two thyroid cancer cell lines, indicatibg that each type of thyroid cancer needs a different gene-targeting therapy. In this experiment, we determined the transcriptomic effects of the stable transfection of UBALD1 gene in the BCPAP and 8505C thyroid cancer cell lines. UBALD1 was selected because it has significantly different GCHs in the two cell lines: 10.31 in 8505C and 1.12 in BCPAP. The significantly more up- and down-regulated genes in the transfected 8505C cells than in the transfected BCPAP cells compared to their untransfected counterparts validated the theory and indicated the usefulness of our personalized gene therapy approach.

2017-04-06 | GSE97427 | GEO

Gene expression profiles in BCPAP cells treated with BRAF inhibitors

Project description:We performed gene expression profiling in the human papillary thyroid carcinoma (PTC) derived cell line BCPAP harboring BRAFV600E mutation following the treatment with BRAF selective inhibitors.

2021-07-13 | GSE171483 | GEO

Gene expression of thyroid cancer cell lines

Project description:Purpose: The primary goal of this study was to identify gene-expression profiles of anaplastic thyroid cancer and to identify some novel in-frame gene fusions that could result in translated protein products affecting the development of anaplastic thyroid cancer. Methods: RNAseq Data was processed with TCGA UNC V2 RNAseq protocol and different expressed genes were identify by using DESeq2, limma-voom, and edgeR. Potential fusion genes were identified by using SOAPfuse, Chimerascan and TopHat-Fusion. Potential fusion genes were confirmed by cDNA PCR and Sanger sequencing. Results: A total of 21 fusion genes were detected, including six predicted in-frame fusions; none were recurrent. Global gene expression analysis showed 661 genes to be differentially expressed between anaplastic thyroid cancer and papillary thyroid cancer cell lines, with pathway enrichment analyses showing downregulation of TP53-signaling as well as cell adhesion molecules in anaplastic thyroid cancer . Conclusions: Our study represents the first detailed analysis of anaplastic thyroid cancer cell lines and found several novel in-frame gene fusions that could result in translated protein products affecting the development of anaplastic thyroid cancer. These data provide novel insights into the tumorigenesis of anaplastic thyroid cancer and may be used to identify new therapeutic targets.

2017-05-08 | GSE94464 | GEO

Normal thyrocytes vs papillary vs anaplastic thyroid carcinomas

Project description:We profiled the gene expression of 11 anaplastic thyroid carcinomas (ATC), 49 papillary thyroid carcinomas (PTC) and 45 normal thyroids (N)

2012-11-09 | GSE33630 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

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