N7-Methylguanosine Genes Related Prognostic Biomarker in Hepatocellular Carcinoma.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35734429", "kind": "science-record", "revision": 5, "content_hash": "sha256:db9d8e0d1726c53575c07dee1fb079b0a68b85219f52f4ede7637bd8f3e8d3f1", "created_at": "2026-11-01T18:14:45Z", "updated_at": "2026-11-01T22:49:23Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "N7-Methylguanosine Genes Related Prognostic Biomarker in Hepatocellular Carcinoma.", "doi": "10.3389/fgene.2022.918983", "pmid": "35734429", "authors": ["Parbatraj Regmi", "Zhi-Qiang He", "Thongher Lia", "Aliza Paudyal", "Fu-Yu Li"], "journal": "Frontiers in genetics", "year": 2022, "abstract": "Background: About 90% of liver cancer-related deaths are caused by hepatocellular carcinoma (HCC). N7-methylguanosine (m7G) modification is associated with the biological process and regulation of various diseases. To the best of our knowledge, its role in the pathogenesis and prognosis of HCC has not been thoroughly investigated. Aim: To identify N7-methylguanosine (m7G) related prognostic biomarkers in HCC. Furthermore, we also studied the association of m7G-related prognostic gene signature with immune infiltration in HCC. Methods: The TCGA datasets were used as a training and GEO dataset \"GSE76427\" for validation of the results. Statistical analyses were performed using the R statistical software version 4.1.2. Results: Functional enrichment analysis identified some pathogenesis related to HCC. We identified 3 m7G-related genes (CDK1, ANO1, and PDGFRA) as prognostic biomarkers for HCC. A risk score was calculated from these 3 prognostic m7G-related genes which showed the high-risk group had a significantly poorer prognosis than the low-risk group in both training and validation datasets. The 3- and 5-years overall survival was predicted better with the risk score than the ideal model in the entire cohort in the predictive nomogram. Furthermore, immune checkpoint genes like CTLA4, HAVCR2, LAG3, and TIGT were expressed significantly higher in the high-risk group and the chemotherapy sensitivity analysis showed that the high-risk groups were responsive to sorafenib treatment. Conclusion: These 3 m7G genes related signature model can be used as prognostic biomarkers in HCC and a guide for immunotherapy and chemotherapy response. Future clinical study on this biomarker model is required to verify its clinical implications.", "claims": [{"id": "claim-method", "statement": "The least absolute shrinkage and selection operator (LASSO) regression was used to incorporate the m7G-related genes with p-value <0.05 in the univariate analysis.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35734429", "locator": "sections[6] \"Development and Validation of PRG Prognostic Model\" paragraph 2", "quote": "The least absolute shrinkage and selection operator (LASSO) regression was used to incorporate the m7G-related genes with p-value <0.05 in the univariate analysis."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Publicly available databases were analysed in the study. These datasets can be found here: xenabrowser.net and ncbi.nlm.nih.gov/gds.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35734429", "locator": "sections[19] \"Data Availability Statement\" paragraph 2", "quote": "Publicly available databases were analysed in the study. These datasets can be found here: xenabrowser.net and ncbi.nlm.nih.gov/gds."}], "state": "complete"}, {"id": "claim-target-result", "statement": "A three-gene m7G prognostic signature comprising CDK1, ANO1, and PDGFRA stratified HCC patients by prognosis, with the high-risk group showing significantly poorer survival in both the training and validation datasets.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35734429", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "We identified 3 m7G-related genes (CDK1, ANO1, and PDGFRA) as prognostic biomarkers for HCC."}, {"asset": "source:pmid:35734429", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "A risk score was calculated from these 3 prognostic m7G-related genes which showed the high-risk group had a significantly poorer prognosis than the low-risk group in both training and validation datasets."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "A three-gene m7G prognostic signature comprising CDK1, ANO1, and PDGFRA stratified HCC patients by prognosis, with the high-risk group showing significantly poorer survival in both the training and validation datasets.", "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:35734429"], "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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