{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\n Colorectal adenocarcinoma hypermethylated (CAHM) is a long non‐coding RNA that appears to function as a tumor suppressor in several cancer types. In gliomas, CAHM is frequently silenced through hypermethylation by DNA methyltransferase 1, and its loss contributes to tumor progression by enhancing cell proliferation, colony formation, migration, and invasion via the SPAK/MAPK pathway; conversely, overexpression of CAHM inhibits these oncogenic properties."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": " In colorectal cancer, CAHM undergoes cancer‐specific hypermethylation resulting in decreased transcript levels, a change that can be sensitively detected in both tumor tissues and patient plasma, underscoring its potential as a non‐invasive biomarker for early detection and disease monitoring."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "2"}]}, {"type": "t", "text": " In thyroid carcinoma, high CAHM expression is associated with improved overall survival and appears to influence key biological processes including DNA repair, cell adhesion, and DNA replication, suggesting a protective role in tumor biology."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "3"}]}, {"type": "t", "text": " Furthermore, in triple‐negative breast cancer, reduced CAHM expression is among a panel of lncRNAs whose low levels correlate with poor patient prognosis."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "4"}]}, {"type": "t", "text": " Collectively, these findings indicate that CAHM plays a multifaceted role in carcinogenesis, acting not only as a suppressor of tumor growth and invasion but also as a promising candidate biomarker for cancer prognosis and screening.\n "}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Yadi Xu, Zelin Li, Tian Huai, et al. "}, {"type": "b", "children": [{"type": "t", "text": "DNMT1 Mediated CAHM Repression Promotes Glioma Invasion via SPAK/JNK Pathway."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Cell Mol Neurobiol (2022)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1007/s10571-021-01125-z"}], "href": "https://doi.org/10.1007/s10571-021-01125-z"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "34227028"}], "href": "https://pubmed.ncbi.nlm.nih.gov/34227028"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Susanne K Pedersen, Susan M Mitchell, Lloyd D Graham, et al. "}, {"type": "b", "children": [{"type": "t", "text": "CAHM, a long non-coding RNA gene hypermethylated in colorectal neoplasia."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Epigenetics (2014)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.4161/epi.29046"}], "href": "https://doi.org/10.4161/epi.29046"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "24799664"}], "href": "https://pubmed.ncbi.nlm.nih.gov/24799664"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Yong Xiao, Youbing Tu, Yuantao Li "}, {"type": "b", "children": [{"type": "t", "text": "Expression level of long non-coding RNA colon adenocarcinoma hypermethylated serves as a novel prognostic biomarker in patients with thyroid carcinoma."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Biosci Rep (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1042/BSR20210284"}], "href": "https://doi.org/10.1042/BSR20210284"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "33792624"}], "href": "https://pubmed.ncbi.nlm.nih.gov/33792624"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "Xiao-Xiao Li, Li-Juan Wang, Jie Hou, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Identification of Long Noncoding RNAs as Predictors of Survival in Triple-Negative Breast Cancer Based on Network Analysis."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Biomed Res Int (2020)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1155/2020/8970340"}], "href": "https://doi.org/10.1155/2020/8970340"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "32190687"}], "href": "https://pubmed.ncbi.nlm.nih.gov/32190687"}]}]}]}