Identification of KIF23 as a Prognostic Biomarker Associated With Progression of Clear Cell Renal Cell Carcinoma.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35478956", "kind": "science-record", "revision": 4, "content_hash": "sha256:a62d837709fb893ebc722c5564e33ca3f29e47bf8be2fe666deaa9d565d11c6e", "created_at": "2026-11-01T18:14:20Z", "updated_at": "2026-11-01T22:06:24Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of KIF23 as a Prognostic Biomarker Associated With Progression of Clear Cell Renal Cell Carcinoma.", "doi": "10.3389/fcell.2022.839821", "pmid": "35478956", "authors": ["Zonglong Wu", "Yimeng Song", "Yaqian Wu", "Liyuan Ge", "Zhuo Liu", "Tan Du", "Shudong Zhang", "Lulin Ma"], "journal": "Frontiers in cell and developmental biology", "year": 2022, "abstract": "About 3% of adult cancers are caused by renal cell carcinoma (RCC) and its pathogenesis remains elusive. Among RCC, clear cell renal cell carcinoma (ccRCC) is the predominant histological subtype. Resistance to conventional treatments leaves few treatment options for advanced ccRCC. Although the transcriptome profile of primary ccRCC has been comprehensively summarized, the transcriptome profile of metastatic ccRCC is still lacking. In this study we identified a list of metastasis-related genes and constructing a metastasis-associated prognostic gene signature. By analyzing data from GSE85258 and GSE105288 datasets, 74 genes were identified as metastasis-related genes. To construct prognostic features, we downloaded the expression data of ccRCC from the Cancer Genome Atlas (TCGA). Metastasis-associated genes were initially selected through the LASSO Cox regression analysis and 12 metastasis-related were included to construct prognostic model. Transcriptome profile, patient prognosis, and immune cell infiltration characteristics differed between low- and high-risk groups after grouping according to median risk score. Through explored the functions of differentially expressed genes (DEGs) between the two groups. Kinesin family member 23 (KIF23) was identified as a prognostic marker in ccRCC patients. Furthermore, inhibition of KIF23 expression reduced the proliferation, migration and invasion of ccRCC cells. We further demonstrated that KIF23 promote nuclear translocation of β-catenin in ccRCC cells, which provides novel insight into the functions and molecular machinery of KIF23 in ccRCC.", "claims": [{"id": "claim-method", "statement": "The R package “glmnet” performed LASSO regression analysis to identify key prognostic genes.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35478956", "locator": "sections[4] \"Construction of Clinical Prognostic Model\" paragraph 2", "quote": "The R package “glmnet” performed LASSO regression analysis to identify key prognostic genes."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Publicly available datasets were analyzed in this study. This data can be found here: The microarray datasets GSE85258 and GSE105288 were obtained from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database. The gene expression profiles of 530 ccRCC were downloaded from the TCGA data portal (https://tcga-data.nci.nih.gov/tcga/).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35478956", "locator": "sections[26] \"Data Availability Statement\" paragraph 2", "quote": "Publicly available datasets were analyzed in this study. This data can be found here: The microarray datasets GSE85258 and GSE105288 were obtained from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database. The gene expression profiles of 530 ccRCC were downloaded from the TCGA data portal (https://tcga-data.nci.nih.gov/tcga/)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "A 12-gene metastasis-associated prognostic model separated ccRCC patients into low- and high-risk groups with differing survival outcomes.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35478956", "locator": "sections[18] \"Construction of a Prognostic Signature\" paragraph 2", "quote": "The best performing prognostic model was obtained when 12 genes were included (Figure 3B)."}, {"asset": "source:pmid:35478956", "locator": "sections[18] \"Construction of a Prognostic Signature\" paragraph 2", "quote": "Then, patients were divided into low-risk (n = 263) and high-risk (n = 262) groups based on their risk scores (Figure 3C). Patients in high-risk group have a worse prognosis (Figure 3D)."}, {"asset": "source:pmid:35478956", "locator": "sections[18] \"Construction of a Prognostic Signature\" paragraph 2", "quote": "The area under curve (AUC) value for metastasis-associated prognostic gene signature was 0.7 and 0.661 for 3- and 5-year survival rates, respectively (Figures 3E,F)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "A 12-gene metastasis-associated prognostic model separated ccRCC patients into low- and high-risk groups with differing survival outcomes.", "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:35478956"], "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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