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pmid:34944522
Characterization of SLC34A2 as a Potential Prognostic Marker of Oncological Diseases.
Ramilia Vlasenkova · Alsina Nurgalieva · Natalia Akberova · Mikhail Bogdanov · Ramziya Kiyamova
Biomolecules · 2021 doi:10.3390/biom11121878
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Complete file
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We collected data from four databases (cBioPortal, The Cancer Genome Atlas; cBioPortal, Genie; International Cancer Genome Consortium; ArrayExpress). In total, 111,283 samples were categorized according to 27 tumor locations. Ninety-nine functionally significant missense mutations and twelve functionally significant indel mutations in SLC34A2 were found. The most frequent mutations were SLC34A2-ROS1, p.T154A, p.P506S/R/L, p.G257A/E/R, p.S318W, p.A396T, p.P410L/S/H, p.S461C, p.A473T/V, and p.Y503H/C/F. The upregulation of SLC34A2 was found in samples of myeloid, bowel, ovarian, and uterine tumors; downregulation was found in tumor samples of breast, liver, lung, and skin cancer tumors. It was found that the life expectancy of breast and thymus cancer patients with an SLC34A2 mutation is lower, and it was revealed that SLC34A2 overexpression reduced the life span of patients with brain, ovarian, and pancreatic tumors. Thereby, for these types of oncological diseases, the mutational profile of SLC34A2 can be a potential prognostic marker for breast and thymus cancers, and the upregulation of SLC34A2 can be a potential prognostic marker for brain, ovarian, and pancreatic cancers.", "claims": [{"id": "claim-method", "statement": "A Wilcoxon test (p < 0.05) was performed in order to compare healthy and tumor samples. A survival analysis was performed using the Kaplan–Meyer estimate (p < 0.05). For each study in which we found significant differences between the patient groups by the Kaplan–Meyer estimate, multivariate survival analysis was performed using Cox regression (p < 0.05).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34944522", "locator": "sections[5] \"2.3. 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These datasets can be found here (the data was downloaded on 21 December 2020): http://www.cbioportal.org, https://genie.cbioportal.org/, https://dcc.icgc.org/, and https://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-3732.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34944522", "locator": "sections[19] \"notes\" paragraph 1", "quote": "Publicly available datasets were analyzed in this study. 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Characterization of the SLC34A2 Gene as a Prognostic Marker\" paragraph 3", "quote": "The life expectancy of patients with mutations in the SLC34A2 gene is significantly lower than in patients without gene alterations in studies of breast (p < 0.042) and thymus (p < 0.0008) tumors (cBioPortal, TCGA: Breast invasive carcinoma, n = 1082, Thymoma, n = 122; Figure 3A-B)."}, {"asset": "source:pmid:34944522", "locator": "sections[10] \"3.3. Characterization of the SLC34A2 Gene as a Prognostic Marker\" paragraph 4", "quote": "The life expectancy of patients with a high expression of SLC34A2 is significantly lower than that of patients with a lower expression of the gene in studies of brain (p < 0.043), ovarian (p < 0.0031), and pancreatic (p < 0.0015) cancer (cBioPortal, TCGA: Brain Lower Grade Glioma, n = 514, Glioblastoma multiforme, n = 592, Ovarian serous cystadenocarcinoma—n = 299, Pancreatic adenocarcinoma, n = 179, p < 0.05; Figure 3C–E)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "SLC34A2 mutations were associated with lower life expectancy in breast and thymus cancer, while SLC34A2 overexpression was associated with shorter survival in brain, ovarian, and pancreatic tumors.", "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:34944522"], "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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