BASP1 expression is associated with poor prognosis and is correlated with immune infiltration in gastric cancer.

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The objectives of this study were to determine whether BASP1 is a valuable prognostic marker for GC and to explore its role in the immune microenvironment of GC. The expression level of BASP1 in GC was analyzed based on the TCGA dataset and further verified using GSE54129 and GSE161533 datasets, immunohistochemistry, and western blotting. The association between BASP1 and clinicopathological characteristics, as well as its predictive value, were examined using the STAD dataset. Cox regression analysis was performed to determine whether BASP1 can be used as an independent prognostic indicator for GC, and a nomogram was constructed to predict OS. The association between BASP1 and immune cell infiltration, immune checkpoints, and immune cell markers was confirmed by enrichment analysis, as well as analysis based on the TIMER and GEPIA databases. BASP1 was observed to be highly expressed in GC and was associated with a poor prognosis. The expression of BASP1 was positively correlated with the expression of immune checkpoints and immune cell markers, as well as immune cell infiltration. Thus, BASP1 may serve as a standalone prognostic indicator for GC. BASP1 is highly correlated with immune processes, and its expression is positively correlated with the degree of immune cell infiltration, immune checkpoints, and immune cell markers.", "claims": [{"id": "claim-method", "statement": "Cox regression analysis was performed to determine whether BASP1 can be used as an independent prognostic indicator for GC, and a nomogram was constructed to predict OS.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37243901", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Cox regression analysis was performed to determine whether BASP1 can be used as an independent prognostic indicator for GC, and a nomogram was constructed to predict OS."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are included in the article; further inquiries can be directed to the corresponding author.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37243901", "locator": "sections[29] \"Data accessibility\" paragraph 2", "quote": "The original contributions presented in the study are included in the article; further inquiries can be directed to the corresponding author."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Finally, the area under the ROC curve (AUC) was 0.715 (95% CI: 0.674–0.755), indicating that BASP1 expression was accurate in predicting the prognosis of patients with GC (Fig. 3E).", "kind": "quantitative", "target": {"value": 95.0, "unit": "per cent", "tolerance": null, "source": "Finally, the area under the ROC curve (AUC) was 0.715 (95% CI: 0.674–0.755), indicating that BASP1 expression was accurate in predicting the prognosis of patients with GC (Fig. 3E)."}, "evidence": [{"asset": "source:pmid:37243901", "locator": "sections[17] \"High expression of BASP1 is associated with poor prognosis in GC\" paragraph 2", "quote": "Finally, the area under the ROC curve (AUC) was 0.715 (95% CI: 0.674–0.755), indicating that BASP1 expression was accurate in predicting the prognosis of patients with GC (Fig. 3E)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Finally, the area under the ROC curve (AUC) was 0.715 (95% CI: 0.674–0.755), indicating that BASP1 expression was accurate in predicting the prognosis of patients with GC (Fig. 3E).", "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:37243901"], "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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