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pmid:31679074
Prognostic significance of KN motif and ankyrin repeat domains 1 (KANK1) in invasive breast cancer.
Yousif A Kariri · Chitra Joseph · Sasagu Kurozumi · Michael S Toss · Mansour Alsaleem · Sara Raafat · Nigel P Mongan · Mohammed A Aleskandarany · Andrew R Green · Emad A Rakha
Breast cancer research and treatment · 2020 doi:10.1007/s10549-019-05466-8
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Complete file
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KANK1 is involved in progression of a variety of solid tumours; however, its role in invasive breast cancer (BC) remains unknown. This study aims to evaluate the clinicopathological and prognostic value of KANK1 expression in operable BC.\nMETHODS: KANK1 expression was assessed at the transcriptomic level using multiple BC cohorts; the Molecular Taxonomy of BC International Consortium cohort (METABRIC; n = 1980), The Cancer Genome Atlas BC cohort (TCGA; n = 949) and the publicly available BC transcriptomic data hosted by BC Gene-Expression Miner (bc-GenExMiner v4.0) and Kaplan-Meier plotter?. The Nottingham BC cohort (n = 1500) prepared as tissue microarrays was used to assess KANK1 protein expression using immunohistochemistry (IHC). The association between clinicopathological variables and patient outcome was investigated.\nRESULTS: In the METABRIC cohort, high expression of KANK1 mRNA was associated with characteristics of good prognosis including lower grade, absence of lymphovascular invasion and HER2 negativity (all; p < 0.001) and with better outcome [p = 0.006, Hazards ratio, (HR) 0.70, 95% CI 0.54-0.91]. High KANK1 protein expression was correlated with smaller tumour size and HER2 negativity, and better outcome in terms of longer breast cancer-specific survival [p = 0.013, HR 0.7, 95% CI 0.536-0.893] and time to distant metastasis [p = 0.033, HR 0.65, 95% CI 0.51-0.819].\nCONCLUSION: These results supported that upregulation of KANK1 works as a tumour suppressor gene in BC and is associated with improved patients' outcomes.", "claims": [{"id": "claim-method", "statement": "Cox proportional hazard method was employed for the multivariate survival analysis.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31679074", "locator": "sections[9] \"Statistical analysis\" paragraph 2", "quote": "Cox proportional hazard method was employed for the multivariate survival analysis."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The authors confirm the data that have been used in this work are available on reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31679074", "locator": "sections[18] \"Data availability\" paragraph 2", "quote": "The authors confirm the data that have been used in this work are available on reasonable request."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": null, "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:31679074"], "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": "blocked", "blocked_on": "data:accession_absent", "description": "The GEO series accession resolves and its sample accessions are listed. 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