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Omics · study · 2026

Mechanisms of drug sensitivity for Low-Grade Serous Ovarian Carcinoma

Listed in NCBI GEO

Quantitative high-throughput 2D drug screening (n=3436 compounds) was conducted across 12 patient-derived LGSOC cell lines representing MAPK-mutant and no-specific-molecular-profile (NSMP) subtypes, and a immortalised normal ovarian line (IOSE-523) as toxicity control.

Description

Hits were prioritised for synergy testing (29 combinations) with 6 anchor drugs and validated in 2D and 3D spheroid models. Mechanistic studies to elucidate mechanisms of drug sensitivity and resistance to drug classes was conducted via MAC-Seq transcriptomics (multiplexed analysis of cells, high-throughput RNA seq).

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Life Sciences
Provenance · 1 source records, 7 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE31391614 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[organism].NCBITaxon:9606source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title