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- source_evidence_literature type ECO_0000212 NP654917.RAviH5ScLDG4tChpm_iM6Wh1p5ZX2IFB4zhskfz8MSB2w130_provenance.
- source_evidence_literature label "DisGeNET evidence - LITERATURE" NP654917.RAviH5ScLDG4tChpm_iM6Wh1p5ZX2IFB4zhskfz8MSB2w130_provenance.
- source_evidence_literature comment "Gene-disease associations inferred from text-mining the literature." NP654917.RAviH5ScLDG4tChpm_iM6Wh1p5ZX2IFB4zhskfz8MSB2w130_provenance.
- NP654917.RAviH5ScLDG4tChpm_iM6Wh1p5ZX2IFB4zhskfz8MSB2w130_assertion description "[Strong correlations (0.68 ? r ? 1.0) were observed between PIK3C3 and PIM3 in breast cancer, between PIK3C3 and PTEN in breast and ovary cancers, and between PIM3 and PTEN in breast, kidney, liver, and thyroid cancers during disease progression, implicating that the correlations for cancer network gene expressions could serve as a supplement to current clinical biomarkers, such as cancer antigens, for early cancer diagnosis.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP654917.RAviH5ScLDG4tChpm_iM6Wh1p5ZX2IFB4zhskfz8MSB2w130_provenance.
- NP654917.RAviH5ScLDG4tChpm_iM6Wh1p5ZX2IFB4zhskfz8MSB2w130_assertion evidence source_evidence_literature NP654917.RAviH5ScLDG4tChpm_iM6Wh1p5ZX2IFB4zhskfz8MSB2w130_provenance.
- NP654917.RAviH5ScLDG4tChpm_iM6Wh1p5ZX2IFB4zhskfz8MSB2w130_assertion SIO_000772 24818135 NP654917.RAviH5ScLDG4tChpm_iM6Wh1p5ZX2IFB4zhskfz8MSB2w130_provenance.
- NP654917.RAviH5ScLDG4tChpm_iM6Wh1p5ZX2IFB4zhskfz8MSB2w130_assertion wasDerivedFrom befree-20150227 NP654917.RAviH5ScLDG4tChpm_iM6Wh1p5ZX2IFB4zhskfz8MSB2w130_provenance.
- NP654917.RAviH5ScLDG4tChpm_iM6Wh1p5ZX2IFB4zhskfz8MSB2w130_assertion wasGeneratedBy ECO_0000203 NP654917.RAviH5ScLDG4tChpm_iM6Wh1p5ZX2IFB4zhskfz8MSB2w130_provenance.
- befree-20150227 importedOn "2015-02-27" NP654917.RAviH5ScLDG4tChpm_iM6Wh1p5ZX2IFB4zhskfz8MSB2w130_provenance.