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1 records shown · first 60Comprehensive computational analysis of PKCδ non-synonymous variants identifies rs1703863535 as a potential breast cancer biomarker.
PMID 41162960 | PMCID PMC12570629 | DOI 10.1186/s12885-025-15194-6 · BMC cancer · 2025 · 7 validated mentions
Evidence preview
| Type | Entity | Source evidence | Confidence | Extractor |
|---|---|---|---|---|
| variant | rs1703863535 | “Comprehensive computational analysis of PKCδ non-synonymous variants identifies rs1703863535 as a potential breast cancer biomarker.” | 0.90 | hgvs_regex_v1 |
| gene | STAT3 | “These variants disrupted normal PKCδ function by causing surface distortion, changing net charge, and perturbing intramolecular interactions with STAT3, which may activate PKCδ in a non-canonical manner.” | 0.98 | hgnc_dict_v1 |
| phenotype | breast cancer | “Comprehensive computational analysis of PKCδ non-synonymous variants identifies rs1703863535 as a potential breast cancer biomarker.” | 0.98 | phenotype_alias_lexicon_v2 |
| variant | V114G | “Analyzing a dataset of 613 non-synonymous variants with various computational and in silico tools based on sequence and structure approaches, four variants, including V114G, C189R, C189Y, W608R, were identified as highly oncogenic.” | 0.82 | literature_variant_regex_v2 |