Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Lestaurtinib inhibits therapy resistant ovarian cancer

ABSTRACT: Lestaurtinib inhibits therapy resistant ovarian cancer

PROVIDER: PRJNA1235256 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Lestaurtinib inhibits therapy resistant ovarian cancer

Project description:Ovarian cancer is the deadliest gynecological malignancy, owing to its late-stage diagnosis and high rates of recurrence and resistance following standard-of-care treatment, highlighting the need for novel treatment approaches. Through an unbiased drug screen, we identified the kinase inhibitor, lestaurtinib, as a potent antineoplastic agent for chemotherapy- and PARP-inhibitor (PARPi)-sensitive and -resistant ovarian cancer cells and patient derived xenografts (PDXs). RNA-sequencing revealed that lestaurtinib potently suppressed JAK/STAT signaling and lestaurtinib efficacy was shown to be directly related to JAK/STAT pathway activity in cell lines and PDX models. Most ovarian cancer cells exhibited constitutive JAK/STAT pathway activation and genetic loss of STAT1 and STAT3 resulted in growth inhibition. Lestaurtinib also displayed synergy when combined with cisplatin and olaparib, including in a model of PARPi resistance. In contrast, the most well-known JAK/STAT inhibitor, ruxolitinib, lacked antineoplastic activity against all ovarian cancer cell lines and PDX models tested. This divergent behavior was reflected in the ability of lestaurtinib to block both Y701/705 and S727 phosphorylation of STAT1 and STAT3, whereas ruxolitinib failed to block S727. Consistent with these findings, lestaurtinib additionally inhibited the serine/threonine kinases, JNK and ERK, leading to more complete suppression of STAT phosphorylation. Concordantly, combinatorial treatment with ruxolitinib and a JNK or ERK inhibitor resulted in synergistic antineoplastic effects at dose levels where the single agents were ineffective. Taken together, these findings indicate that lestaurtinib, and other treatments that converge on JAK/STAT signaling, are worthy of further pre-clinical and clinical exploration for the treatment of highly aggressive and advanced forms of ovarian cancer.

2025-06-30 | GSE291796 | GEO

KFTX paclitaxel (PTX)-resistant ovarian cancer cells, KFTXlow PTX-resistant ovarian cancer cells and KFlow PTX-sensitive ovarian cancer cells expression profilies

Project description:KFTX paclitaxel (PTX)-resistant ovarian cancer cells, KFTXlow PTX-resistant ovarian cancer cells and KFlow PTX-sensitive ovarian cancer cells expression profilies

| PRJNA504767 | ENA

Transcriptional profiling of EZM8266 treatment in a syngeneic model of PARPi-resistant ovarian cancer.

Project description:Euchromatin methyltransferase1/2 (EHMT1/2) have been correlated with tumorigenesis and therapy resistance through unknown mechanisms of action. Using a combination of experimental and bioinformatic analyses in several PARP inhibitor resistant ovarian cancer models, we demonstrate that combinatory EHMT and PARP inhibition is effective in treating PARP inhibitor resistant ovarian cancers. Our in vitro studies show that combinatory therapy reactivates transposable elements and increased immunostimulatory dsRNA formation and several immune signaling pathways. Our in vivo studies show that single EHMT and combinatory EHMT and PARP inhibition reduces tumor burden and that this reduction is dependent on CD8 T cells. Together, our results show a direct mechanism by which transposable elements are regulated and how an epigenetic therapy can be used as a fine tune agent to treat cancers with specific genetics.

2024-12-18 | GSE268078 | GEO

RNA-Seq of PARPi-resistant ovarian cancer cells

Project description:We have previously established an in vitro model of PARPi-resistant ovarian cancer by long-term exposure of UWB1.289 ovarian cancer cells (and their isogenic derivatives UWB1.289+BRCA1) to incrementally ascending olaparib concentrations. After finalizing this model, we performed RNA-seq, in order to identify differentially expressed transcript in the PARPi-resistant cells, with a focus on genes related to DNA-repair, multi-drug resistance and EMT. As a result, we show that the phenotype of PARPi resistance is associated with EMT-like traits and up-regulation of selective multi-drug related transcripts.

2023-07-31 | GSE235980 | GEO

RNA-Seq of PARPi-resistant ovarian cancer cells

Project description:RNA-Seq of PARPi-resistant ovarian cancer cells

| PRJNA988124 | ENA

Expression profiling of cisplatin resistant derivatives of ovarian cancer cell line A2780

Project description:The goal of this study was to determine genes with altered expression after selection of ovarian cancer cells for survival in increasing concentrations of cisplatin. A series of progressively cispatin resistant derivatives of A2780 ovarian cancer cell lines was hybridized to spotted cDNA microarrays using two color technology using the parental A2780 cells as a reference. Duplicate hybridizations were carried out for each resistant derivative.

2013-12-22 | E-GEOD-44022 | biostudies-arrayexpress

MicroRNA profiling of cisplatin-resistant and cisplatin-sensitive ovarian cancer cells

Project description:Platinum resistance is a major drawback in the treatment of ovarian cancer. Evidence suggests that microRNAs are key players in the initiation, progression, and drug resistance of cancer cells. However, the precise miRNAs dysregulated and contributing to platinum resistance in ovarian cancer cells have not been fully elucidated. Here, we conducted a miRNA expression profiling of cisplatin-sensitive (A2780) and cisplatin-resistant (CP20 and CIS) ovarian cancer cells to identify potential miRNAs involved in platinum resistance.

2020-11-20 | GSE161784 | GEO

KFTX paclitaxel (PTX)-resistant ovarian cancer cells, KFTXlow PTX-resistant ovarian cancer cells and KFlow PTX-sensitive ovarian cancer cells expression profilies

Project description:Oncolytic vaccinia virus (OVV) has demonstrated appropriate safety profiles for clinical development. Although OVV was designed to kill cancer cells efficiently, sensitivity to OVV varies in individual cancers. Here, we found that OVV was much more efficient in KFTX paclitaxel (PTX)-resistant ovarian cancer cells, compared to that in KFlow PTX-sensitive cells. Microarray analysis showed that urothelial carcinoma-associated 1 (UCA1) upregulation contributed to both enhanced PTX resistance and OVV spread.

2018-11-10 | GSE122358 | GEO

Targeting p85β condensates by RNA therapy inhibits liver cancer progression

Project description:Targeting p85β condensates by RNA therapy inhibits liver cancer progression

| PRJNA1232683 | ENA

aCGH profiles of parental and oxaliplatin resistant colorectal cancer and ovarian cancer cell lines

Project description:Oxaliplatin resistance was induced in 2 colorectal cancer cell lines (LoVo-92, wt-p53 and LoVo-Li, functionally inactive p53) and one ovarian cancer cell line (A2780, wt-p53). Resistance was induced by weekly exposure to oxaliplatin for 4 hrs or 72 hrs with increasing concentrations for a period of 7 months Genomic DNA of oxaliplatin and cisplatin resistant colorectal cancer and ovarian cancer cell lines as well as the parental cell lines were labeled and subsequently hybridized against pooled reference DNA of healthy volunteers of the opposite gender using across array hybridization. Extracted raw-data were normalised and smoothend using the R-script NOWAVE resulting in normalised log2 ratio profiles of resistant cell line versus parental cell line and parental cell line versus reference DNA.

2014-03-01 | E-GEOD-20144 | biostudies-arrayexpress

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