CRTC2 promotes paclitaxel resistance by inducing autophagy in ovarian cancer in part via the PI3K-AKT signaling axis.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37151390", "kind": "science-record", "revision": 3, "content_hash": "sha256:31cde7a8158e17551637c05a8a5e13a143bafd4b69bc106e57defe04e00ba10d", "created_at": "2026-11-01T19:01:48Z", "updated_at": "2026-11-01T22:09:24Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "CRTC2 promotes paclitaxel resistance by inducing autophagy in ovarian cancer in part via the PI3K-AKT signaling axis.", "doi": "10.7150/jca.82233", "pmid": "37151390", "authors": ["Chaoyang Ou", "Chen Peng", "Yilang Wang", "Shiyu Lu", "Xinli Yu", "Qian He", "Aiqin He", "Li Zhang"], "journal": "Journal of Cancer", "year": 2023, "abstract": "Background: Ovarian cancer is the most malignant gynecological disease, which seriously threatens female physical and mental health. Paclitaxel is a first-line chemotherapy drug in the clinical treatment of ovarian cancer, but drug resistance has become an important factor affecting the survival of ovarian cancer patients. However, the main mechanism of chemotherapy resistance in ovarian cancer remains unclear. In this study, we analyzed the Integrated Gene Expression Database (GEO) dataset using comprehensive bioinformatics tools to provide new therapeutic strategies and search for prognostic targets for ovarian cancer. Methods: Ovarian cancer related genes were extracted from GSE18520 by bioinformatics method. Differentially expressed genes (DEGs) were obtained by differential analysis, and related genes and functions were elucidated. The key gene CRTC2 was identified by prognostic analysis. Immunohistochemistry was used to detect the expression of CRTC2 in chemotherapy-resistant and chemotherapy-sensitive ovarian cancer tissues. Functional analysis (cell assay) confirmed the role of CRTC2 in paclitaxel resistance. Autophagy related proteins were detected by Western blot. Autophagy flux analysis was performed using the GFP/RFP-LC3 adenovirus reporter. Results: A total of 3,852 DEGs were identified in the GEO microarray dataset. Key genes were screened by prognostic analysis. We found that CRTC2 was highly expressed in chemoresistant tissues of ovarian cancer. In 110 patients with ovarian cancer, high expression of CRTC2 was associated with poorer prognostic factors and shorter survival. At the same time, we found that CRTC2 can promote the proliferation and invasion ability of ovarian cancer cells. In addition, CRTC2 can affect the expression of PI3K, AKT, autophagic flux and sensitivity to paclitaxel chemotherapy in ovarian cancer. Conclusion: CRTC2 can affect autophagy partially through PI3K-AKT signaling pathway, and then affect the sensitivity of ovarian cancer to paclitaxel chemotherapy. CRTC2 may be a potential predictor or target for ovarian cancer therapy.", "claims": [{"id": "claim-method", "statement": "Survival analysis was conducted using the Kaplan-Meier plotter, and the log-rank p value and hazard ratio (HR) with 95% confidence intervals were computed and shown on the plot.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37151390", "locator": "sections[6] \"Survival analysis\" paragraph 2", "quote": "Survival analysis was conducted using the Kaplan-Meier plotter, and the log-rank p value and hazard ratio (HR) with 95% confidence intervals were computed and shown on the plot."}], "state": "complete"}, {"id": "claim-data-access", "statement": "We obtained the gene chip dataset GSE18520 related to ovarian cancer through the GEO module of the National Center for Biotechnology Information (NCBI), and downloaded the relevant microarray data.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37151390", "locator": "sections[3] \"Microarray data acquisition and identification of DEGs\" paragraph 2", "quote": "We obtained the gene chip dataset GSE18520 related to ovarian cancer through the GEO module of the National Center for Biotechnology Information (NCBI), and downloaded the relevant microarray data."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The results showed that only the expression level of CRTC2 in ovarian cancer was negatively correlated with the overall survival of patients [HR=1.54 (1.25-1.89), p < 0.001] (Figure 2B-D).", "kind": "quantitative", "target": {"value": 1.54, "unit": "hazard ratio", "tolerance": null, "source": "The results showed that only the expression level of CRTC2 in ovarian cancer was negatively correlated with the overall survival of patients [HR=1.54 (1.25-1.89), p < 0.001] (Figure 2B-D)."}, "evidence": [{"asset": "source:pmid:37151390", "locator": "sections[19] \"Identification and analysis of key gene CRTC2\" paragraph 2", "quote": "The results showed that only the expression level of CRTC2 in ovarian cancer was negatively correlated with the overall survival of patients [HR=1.54 (1.25-1.89), p < 0.001] (Figure 2B-D)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The results showed that only the expression level of CRTC2 in ovarian cancer was negatively correlated with the overall survival of patients [HR=1.54 (1.25-1.89), p < 0.001] (Figure 2B-D).", "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:37151390"], "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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