Comprehensive analysis of CXCL14 uncovers its role during liver metastasis in colon cancer.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37563546", "kind": "science-record", "revision": 3, "content_hash": "sha256:1fa4a1b5fec744ba2978f84919a7d8be083b338625840efc35940683787b7450", "created_at": "2026-11-01T19:02:20Z", "updated_at": "2026-11-01T22:10:03Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Comprehensive analysis of CXCL14 uncovers its role during liver metastasis in colon cancer.", "doi": "10.1186/s12876-023-02896-z", "pmid": "37563546", "authors": ["Lei Zhou", "Yan Zhang", "Ming Wei", "Kangming Du", "Jing Lin", "Lihong Wei"], "journal": "BMC gastroenterology", "year": 2023, "abstract": "BACKGROUND: The most common cause of death for colon cancer patients is liver metastasis.\nMETHODS: All the data enrolled in this study were downloaded from two public databases, The Cancer Genome Atlas Program, the TCGA-COAD project and Gene Expression Omnibus, GSE41258 project. All the analysis was performed in R software.\nRESULTS: In our study, we systematically explored the molecules involved in the liver metastasis process of colon cancer. The biological role of these molecules was identified through the GO and KEGG analysis. Moreover, we identified that the molecules SERPINA3, SERPINA1, MMP3, ALDH1A3, PBK and CXCL14 were the independent factors for patients survival. The CXCL14 was selected for further analysis for its most significant P value. Single-cell analysis showed that the CXCL14 was mainly expressed in the fibroblasts. Meanwhile, the biological role of fibroblasts in the colon cancer microenvironment was investigated. Further, the clinical role of CXCL14 in colon cancer was also explored. The result showed that the CXCL14 is a protective factor against colon cancer independent of other clinical parameters like age, gender, clinical stage, and TNM classifications. Then, biological enrichment analysis indicated that the CXCL14 is predominantly involved in the activating of the WNT/β/catenin pathway, pancreas beta cells, peroxisome and bile acid metabolism. Immune infiltration analysis showed that for the patients with high CXCL14 levels, the plasma B cells, CD8 + T cells, neutrophil and NK cells might infiltrate more, in contrast to B cells, monocyte and macrophages. Furthermore, we found that the patients with low CXCL14 expression might be more sensitive to etoposide, rapamycin and sunitinib.\nCONCLUSIONS: Our result could improve the understanding of the liver metastasis process in colon cancer. Also, CXCL14 was identified as an underlying therapeutic target for colon cancer.", "claims": [{"id": "claim-method", "statement": "The genes were combined with patients prognosis information and then the univariate Cox regression analysis was utilized to identify the molecules significantly associated with overall survival (OS, P < 0.05). Then, the identified genes were optimized using the LASSO regression algorithm. Next, multivariate Cox regression analysis was used to screen the independent prognosis markers.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37563546", "locator": "sections[6] \"Prognosis analysis\" paragraph 2", "quote": "The genes were combined with patients prognosis information and then the univariate Cox regression analysis was utilized to identify the molecules significantly associated with overall survival (OS, P < 0.05). Then, the identified genes were optimized using the LASSO regression algorithm. Next, multivariate Cox regression analysis was used to screen the independent prognosis markers."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The open-accessed data can be directly downloaded from https://portal.gdc.cancer.gov/; https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE41258; http://tisch.comp-genomics.org/home/. Based on the reasonable request, all the other data can be obtained from the corresponding author.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37563546", "locator": "sections[24] \"Data Availability\" paragraph 2", "quote": "The open-accessed data can be directly downloaded from https://portal.gdc.cancer.gov/; https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE41258; http://tisch.comp-genomics.org/home/. Based on the reasonable request, all the other data can be obtained from the corresponding author."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "", "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:37563546"], "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. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE41258"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE41258"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:37563546", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1186/s12876-023-02896-z", "sha256": "sha256:f56330873c46b236f6cc02c35ce3325dac524fb11ae4bbb22e52901f26b9a204", "bytes": 37453, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1186/s12876-023-02896-z", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC10416425", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE41258", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE41258", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE41258", "version": null, "note": "The open-accessed data can be directly downloaded from https://portal.gdc.cancer.gov/; https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE41258; http://tisch.comp-genomics.org/home/. Based on the reasonable request, all the other data can be obtained from the corresponding author.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The open-accessed data can be directly downloaded from https://portal.gdc.cancer.gov/; https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE41258; http://tisch.comp-genomics.org/home/. 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