ABCG2 confers promotion in gastric cancer through modulating downstream CRKL in vitro combining with biostatistics mining.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:28029654", "kind": "science-record", "revision": 9, "content_hash": "sha256:2b5305dd49c1978747a911763257651e540665b2307b1a96790ea618554bfa15", "created_at": "2026-11-01T15:40:22Z", "updated_at": "2026-11-01T22:42:51Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "ABCG2 confers promotion in gastric cancer through modulating downstream CRKL in vitro combining with biostatistics mining.", "doi": "10.18632/oncotarget.14128", "pmid": "28029654", "authors": ["Junqing Wang", "Zhou Yunyun", "Lu Wang", "Xuehua Chen", "Zhenggang Zhu"], "journal": "Oncotarget", "year": 2017, "abstract": "ABCG2, member of ATP-binding cassette (ABC) transporter family, is known as crucial regulator related to multi-drug resistance in human tumors and has recently been putatively studied as human carcinoma cell biomarker. While, effects of ABCG2 on human gastric cancer (GC) has not been illustrated thoroughly. In this study, by applying biostatistics mining methods, we observed that ABCG2 is frequently aberrantly expressed in GC patients through exploring dataset of GSE19826 in NCBI GEO database. Contemporary, extreme up-regulation of ABCG2 was discovered in both GC specimens and cell lines of our center, from which we observed high level of ABCG2 associated with GC clinicopathologic features and poor outcomes. Depletion of ABCG2 in MKN-45 GC cells, the cell proliferation was significantly impacted along with cell cycle arrest, and cell apoptosis was induced. Interestingly, combined with data mining of NCBI database, CRKL, a pivotal GC promoter, presents a significant positive correlation with ABCG2. And the expression of CRKL in GC cells was obviously affected through ABCG2 depletion. Simultaneously, over-expression of CRKL in MKN-45 cells significantly rescued most of the phenotypes induced by ABCG2 depletion. Thus, we suggest that ABCG2 is a potential biomarker and target upstream CRKL, which could be further studied for GC diagnosis and therapeutic treatment.", "claims": [{"id": "claim-data-access", "statement": "The GC patients mRNA expression microarray data were downloaded from GSE19826 in NCBI GEO. There are 26 samples after removing 1 outlier on the quality control with 12 tumor samples vs. 14 normal gastric mucosa samples in this dataset.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:28029654", "locator": "sections[12] \"Biostatistics mining of NCBI database\" paragraph 2", "quote": "The GC patients mRNA expression microarray data were downloaded from GSE19826 in NCBI GEO. There are 26 samples after removing 1 outlier on the quality control with 12 tumor samples vs. 14 normal gastric mucosa samples in this dataset."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The study used biostatistical and survival analyses of NCBI GEO dataset GSE19826—downloaded through NCBI GEO and analyzed with Oncomine—to identify ABCG2 and CRKL as up-regulated, prognostically associated, positively correlated genes in gastric cancer; specimen associations were evaluated with SPSS 18.0, and survival curves were generated with Kaplan–Meier Plotter for 876 gastric cancer patients. The headline finding is that ABCG2 is a potential gastric-cancer biomarker and an upstream regulator of CRKL.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:28029654", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Thus, we suggest that ABCG2 is a potential biomarker and target upstream CRKL, which could be further studied for GC diagnosis and therapeutic treatment"}, {"asset": "source:pmid:28029654", "locator": "sections[12] \"Biostatistics mining of NCBI database\" paragraph 2", "quote": "The GC patients mRNA expression microarray data were downloaded from GSE19826 in NCBI GEO. There are 26 samples after removing 1 outlier on the quality control with 12 tumor samples vs. 14 normal gastric mucosa samples in this dataset. These data were preprocessed and analyzed by online database tools Oncomine (http://oncomine.org/)."}, {"asset": "source:pmid:28029654", "locator": "sections[12] \"Biostatistics mining of NCBI database\" paragraph 2", "quote": "The differential expression comparison of ABCG2 between tumor and non-tumor samples was conducted by student's t-test."}, {"asset": "source:pmid:28029654", "locator": "sections[12] \"Biostatistics mining of NCBI database\" paragraph 3", "quote": "Association analysis for the ABCG2 mRNA and protein expression and 72 cases’ clinicopathologic features was carried out by SPSS 18.0. P values were calculated by paired t-test and Fisher's exact text. P values < 0.05 were considered statistically significant."}, {"asset": "source:pmid:28029654", "locator": "sections[12] \"Biostatistics mining of NCBI database\" paragraph 4", "quote": "For the survival analysis of ABCG2 and CRKL, we use online tool (http://www.kmplot.com/gastric) to generate Kaplan–Meier curves, which include 876 gastric cancer patients with available clinical data."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The study used biostatistical and survival analyses of NCBI GEO dataset GSE19826—downloaded through NCBI GEO and analyzed with Oncomine—to identify ABCG2 and CRKL as up-regulated, prognostically associated, positively correlated genes in gastric cancer; specimen associations were evaluated with SPSS 18.0, and survival curves were generated with Kaplan–Meier Plotter for 876 gastric cancer patients. 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