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pmid:37660035
The role of OIP5 in the carcinogenesis and progression of ovarian cancer.
Xin Zhang · Wenjie Gu · Aiqin Lin · Renjie Duan · Likai Lian · Yuanyuan Huang · Tiechen Li · Qing Sun
Journal of ovarian research · 2023 doi:10.1186/s13048-023-01265-4
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Complete file
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However, the role of OIP5 in the carcinogenesis and progression of ovarian cancer remains unknown.\nMETHODS: We first analyzed the expression of OIP5 in ovarian cancer and various human tumors with the Sangerbox online analysis tool. GSE12470, GSE14407 and GSE54388 were downloaded from the Gene Expression Omnibus (GEO) database, and GEO2R was used to screen differentially expressed genes in ovarian cancer tissues. Gene Ontology (GO) enrichment analysis was used to explore the related biological processes. Receiver operating characteristic (ROC) curve was generated to evaluate the predictive ability of OIP5 for ovarian cancer. Next, RT-PCR, immunohistochemistry and Western blotting were utilized to evaluate the expression of OIP5 in ovarian cancer. CCK8, EdU proliferation assays and colony formation assays were used to measure cell proliferation, cell cycle progression was examined by PI staining and flow cytometry, and cell apoptosis was examined by Caspase3/7 activity assays. The effect of OIP5 on the migration and invasion of ovarian cancer cells was analyzed with Transwell assays.\nRESULTS: We found that OIP5 is highly expressed in ovarian cancer through bioinformatics analysis, and importantly, OIP5 may be an important biomarker for the prognosis and diagnosis of ovarian cancer. RT-PCR assays, immunohistochemistry and Western blotting were also used to confirm the high expression of OIP5 in ovarian cancer. Subsequently, we demonstrated that the proliferation and migration of the ovarian cancer cell line A2780 were significantly inhibited after OIP5 gene silencing, apoptosis was increased and cell cycle progression was arrested at the G1 phase.\nCONCLUSION: This study indicated that OIP5 was highly expressed in ovarian cancer and that downregulation of OIP5 inhibited the proliferation, migration and invasion of ovarian cancer cells, induced cell cycle arrest and promoted cell apoptosis. Therefore, OIP5 may be an important biomarker for the early diagnosis and potential target for treatment of ovarian cancer.", "claims": [{"id": "claim-method", "statement": "Receiver operating characteristic (ROC) curve analysis was performed by using R software (version 3.6.3), the pROC package [version 1.17.0.1] (for analysis) and the ggplot2 package [version 3.3.3] (for visualization) to determine the specificity and sensitivity of OIP5 as a predictive biomarker.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37660035", "locator": "sections[11] \"Data source and analysis of differential expression\" paragraph 2", "quote": "Receiver operating characteristic (ROC) curve analysis was performed by using R software (version 3.6.3), the pROC package [version 1.17.0.1] (for analysis) and the ggplot2 package [version 3.3.3] (for visualization) to determine the specificity and sensitivity of OIP5 as a predictive biomarker."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in this study are included in the article/Supplementary material, further inquiries can be directed to the corresponding authors.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37660035", "locator": "sections[29] \"Data Availability\" paragraph 2", "quote": "The original contributions presented in this study are included in the article/Supplementary material, further inquiries can be directed to the corresponding authors."}], "state": "complete"}, {"id": "claim-target-result", "statement": "OIP5 was highly expressed in ovarian cancer, and downregulation of OIP5 inhibited proliferation, migration and invasion of ovarian cancer cells while inducing cell-cycle arrest and apoptosis.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37660035", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "This study indicated that OIP5 was highly expressed in ovarian cancer and that downregulation of OIP5 inhibited the proliferation, migration and invasion of ovarian cancer cells, induced cell cycle arrest and promoted cell apoptosis."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "OIP5 was highly expressed in ovarian cancer, and downregulation of OIP5 inhibited proliferation, migration and invasion of ovarian cancer cells while inducing cell-cycle arrest and apoptosis.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:37660035"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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RT-PCR assays, immunohistochemistry and Western blotting were also used to confirm the high expressio"], "order_basis": "paper_text_order:851", "id": "assay:2"}, {"role": "data_generation", "definition_id": "apoptosis_assay", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["by PI staining and flow cytometry, and cell apoptosis was examined by Caspase3/7 activity assays.", "icantly inhibited after OIP5 gene silencing, apoptosis was increased and cell cycle progression was", "induced cell cycle arrest and promoted cell apoptosis. Therefore, OIP5 may be an important biomark", "te the expression of OIP5 in ovarian cancer. CCK8, EdU proliferation assays and colony formati"], "order_basis": "paper_text_order:936", "id": "assay:3"}, {"role": "data_generation", "definition_id": "flow_cytometry", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["progression was examined by PI staining and flow cytometry, and cell apoptosis was examined by Caspase3"], "order_basis": "paper_text_order:1092", "id": "assay:4"}, {"role": "data_generation", "definition_id": "rna_seq", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["omere protein A (CENPA) expression. Finally, RNAseq data from TCGA and GTEx transcripts per mill", "s was performed after log2 transformation of RNAseq data. Receiver operating characteristic (ROC", "nn (www.ehbio.com/test/venn/#/). We analyzed transcriptome data from The Cancer Genome Atlas (TCGA) and"], "order_basis": "paper_text_order:6204", "id": "assay:5"}, {"role": "data_generation", "definition_id": "transfection", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["ementary Material 1: Figure S1 Detecting the knockdown efficiency of OIP5 after siRNA lentivirus in", "infection by PCR. Among them, the sh3 target knockdown efficiency was the highest. Therefore, sh3 c", "er cells Supplementary Material 3: Figure S3 Knockdown of OIP5 inhibited the migration and invasion", "cting the knockdown efficiency of OIP5 after siRNA lentivirus infection by PCR. Among them, the"], "order_basis": "paper_text_order:8782", "id": "assay:6"}, {"role": "analysis", "definition_id": "group_comparison", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["group_summary", "welch_t", "bootstrap_mean_difference", "group_comparison_anova"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Receiver operating characteristic (ROC) curve analysis was performed by using R software (version 3.6.3), the pROC package [version 1.17.0.1] (for analysis) and the ggplot2 package [version 3.3.3] (for visualization) to determine the specificity and sensitivity of OIP5 as a predictive biomarker."], "order_basis": "consumes_earlier_output", "id": "assay:7"}]}