{"doi":"10.1371/journal.pone.0318185","title":"Deciphering the dose-dependent effects of thymoquinone on cellular proliferation and transcriptomic changes in A172 glioblastoma cells","abstract":"Glioblastoma multiforme (GBM), the most prevalent primary malignant brain tumor in adults, exhibits a dismal 6.9% five-year survival rate post-diagnosis. Thymoquinone (TQ), the most abundant bioactive compound in Nigella sativa, has been extensively researched for its anticancer properties across various human cancers. However, its specific anti-cancer mechanisms and pathways in glioblastoma remain to be completely elucidated. In this study, we assessed the impact of different TQ concentrations on the viability of A172 cells using WST-8 and Toluidine blue assays, followed by RNA sequencing (RNA-Seq) to identify differentially expressed genes (DEGs). We confirmed their expression levels through quantitative RT-PCR and performed Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses for these DEGs. RNA-seq revealed no significant gene expression changes at 2.5 μM and 5 μM TQ concentrations. However, at 25 μM and 50 μM, TQ significantly reduced cell viability dose-dependently. We identified 1548 DEGs at 25 μM TQ (684 up-regulated, 864 down-regulated) and 2797 DEGs at 50 μM TQ (1528 up-regulated, 1269 downregulated), with 1202 DEGs common to both concentrations. TQ inhibited key pathways such as PI3K-Akt signaling, calcium signaling, focal adhesion, and ECM-receptor interaction in A172 cells. It downregulated several potential oncogenes (e.g., AEBP1, MIAT) and genes linked to GBM proliferation and migration (e.g., SOCS2, HCP5) while modulating Wnt signaling and up-regulating tumor suppressor genes (e.g., SPRY4, BEX2). TQ also affected p53 downstream targets, maintaining p53 levels. This study elucidates the anti-cancer mechanisms of TQ in A172 GBM cells, underscoring its effects on multiple signaling pathways and positioning TQ as a promising candidate for innovative glioblastoma treatment strategies.","journal":"PLoS ONE","year":2025,"id":538609,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":3,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9524,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":381544,"name":"Purushothaman Natarajan","orcid":"0000-0001-5505-7109","position":1,"is_corresponding":false},{"id":381550,"name":"Umesh K. Reddy","orcid":"0000-0003-4611-7143","position":2,"is_corresponding":false},{"id":1334965,"name":"Wei Du","orcid":"0000-0001-7953-2023","position":3,"is_corresponding":false},{"id":381548,"name":"Cristian Sirbu","orcid":"0000-0002-8848-1560","position":4,"is_corresponding":false},{"id":1335205,"name":"Moussa Sissoko","orcid":null,"position":5,"is_corresponding":false},{"id":1335206,"name":"Gerald R. Hankins","orcid":null,"position":6,"is_corresponding":false},{"id":1334964,"name":"Rachana Pandey","orcid":"0000-0001-8270-6725","position":0,"is_corresponding":true}],"reference_count":81,"raw_metadata":null,"created_at":"2026-07-19T02:52:21.389196Z","pmid":"39874307","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}