{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\n CASC16 is a gene located at 16q12 that has emerged as a notable cancer susceptibility candidate, particularly in breast cancer. Although early genome‐wide association studies highlighted single nucleotide polymorphisms (SNPs) in the region—including variants near the well‐studied TOX3 gene—CAS16 has been subsequently implicated as an independent contributor to breast cancer risk."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": " In-depth case–control studies have demonstrated that specific CASC16 polymorphisms, such as rs4784227 and rs12922061, are significantly associated with an increased risk of breast cancer and with features of clinical aggressiveness, including lymph node metastasis and associations in stratified analyses by age and stage"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "2"}]}, {"type": "t", "text": ";."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "3"}]}, {"type": "t", "text": " A meta-analysis further confirmed the correlation of the rs4784227 variant within CASC16 with increased breast cancer susceptibility across several genetic models, underscoring its potential utility as a risk marker."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "4"}]}, {"type": "t", "text": " In addition, studies integrating microRNA-related SNP analyses have replicated the association of CASC16 rs4784227 with breast cancer risk in diverse populations."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "5"}]}, {"type": "t", "text": " Beyond breast cancer, investigations into neuroblastoma have revealed that CASC16 is among the long non-coding RNAs whose promoter regions are bound by EZH2, suggesting that CASC16 may also participate in transcriptional regulatory networks that influence tumorigenesis in other malignancies."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "6"}]}, {"type": "t", "text": "\n "}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Yoo-Jeong Han, Jing Zhang, Yonglan Zheng, et al. 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