{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\n Cancer/testis antigens are a unique class of proteins that, under normal circumstances, are expressed predominantly in germ cells of the testis while being largely silenced in somatic tissues. CT47A6, a member of this gene family, is presumed to function in a manner similar to other CT antigens by becoming aberrantly activated in various cancers. Its expression in malignancies—such as the estrogen receptor–negative breast lesions that have been associated with significant CT gene activation"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": "—suggests that CT47A6 may contribute to the immunogenic landscape of tumors. Aberrant activation can elicit spontaneous immune responses, thereby potentially offering a target for immunotherapeutic strategies, as has been observed with other CT antigens in cancers including prostate cancer."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "2"}]}, {"type": "t", "text": " Additionally, large‐scale transcriptomic analyses have expanded our knowledge of human gene expression and transcript diversity, providing valuable catalogs that may include CT47A6 among numerous novel and potentially functional transcripts."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "3"}]}, {"type": "t", "text": " Finally, integrated genomic profiling approaches in the context of personalized medicine have highlighted the importance of identifying biomarkers—such as cancer/testis antigens—for prognostic classification and treatment customization in cancer patients."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "4"}]}, {"type": "t", "text": " Collectively, these studies support the notion that CT47A6 likely plays a role in tumorigenesis, immunogenicity, and may serve as a candidate biomarker for the early diagnosis and treatment monitoring of various cancers.\n "}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Otavia L Caballero, Sami Shousha, Qi Zhao, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Expression of Cancer/Testis genes in ductal carcinoma in situ and benign lesions of the breast."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Oncoscience (2013)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.18632/oncoscience.4"}], "href": "https://doi.org/10.18632/oncoscience.4"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "25593980"}], "href": "https://pubmed.ncbi.nlm.nih.gov/25593980"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Henry A Adeola, Muneerah Smith, Lisa Kaestner, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Novel potential serological prostate cancer biomarkers using CT100+ cancer antigen microarray platform in a multi-cultural South African cohort."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Oncotarget (2016)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.18632/oncotarget.7359"}], "href": "https://doi.org/10.18632/oncotarget.7359"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "26885621"}], "href": "https://pubmed.ncbi.nlm.nih.gov/26885621"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Mihaela Pertea, Alaina Shumate, Geo Pertea, et al. "}, {"type": "b", "children": [{"type": "t", "text": "CHESS: a new human gene catalog curated from thousands of large-scale RNA sequencing experiments reveals extensive transcriptional noise."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Genome Biol (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1186/s13059-018-1590-2"}], "href": "https://doi.org/10.1186/s13059-018-1590-2"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "30486838"}], "href": "https://pubmed.ncbi.nlm.nih.gov/30486838"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "Ashraf Abou Tabl, Abedalrhman Alkhateeb, Waguih ElMaraghy, et al. "}, {"type": "b", "children": [{"type": "t", "text": "A Machine Learning Approach for Identifying Gene Biomarkers Guiding the Treatment of Breast Cancer."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Front Genet (2019)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3389/fgene.2019.00256"}], "href": "https://doi.org/10.3389/fgene.2019.00256"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "30972106"}], "href": "https://pubmed.ncbi.nlm.nih.gov/30972106"}]}]}]}