{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\n Recent studies have begun to shed light on potential roles for AADACL4 in human disease, most notably in cancer. In an RNA‐sequencing analysis of uterine sarcoma, AADACL4 was identified as one of six genes whose differential expression robustly stratified patients into high‐ and low‐risk groups with striking differences in overall survival and other clinical endpoints (5). Although the precise biological function of AADACL4 was not directly elucidated, its incorporation into this prognostic signature suggests that it may be involved in cancer‐related biological processes that influence tumor progression and patient outcomes.\n "}]}, {"type": "t", "text": "\n "}, {"type": "p", "children": [{"type": "t", "text": "\n By contrast, other investigations—such as global expression profiling in chicken kidney tissue during coronavirus infection (2), whole exome sequencing studies in developmental disorders like Hirschsprung disease (3), and assessments of microRNA–target interactions in preclinical research (4)—did not report functional insights regarding AADACL4. Similarly, an earlier study (1) did not discuss AADACL4 function. These studies, collectively, underscore that while AADACL4’s role in antiviral immune responses, developmental pathologies, or miRNA off‐target effects was not examined, its emergence within a cancer prognostic framework (5) implicates it as a potential biomarker for malignant progression that merits further investigation.\n "}]}, {"type": "t", "text": "\n "}, {"type": "p", "children": [{"type": "t", "text": "\n In summary, although AADACL4 remains functionally uncharacterized in several biological contexts, its inclusion in a uterine sarcoma prognostic gene signature highlights its possible involvement in oncogenic processes and validates its potential utility as a prognostic biomarker in malignancies (1,2,3,4,5)."}]}, {"type": "t", "text": "\n "}, {"type": "p", "children": [{"type": "fg", "children": [{"type": "fg_fs", "start_ref": "1", "end_ref": "5"}]}, {"type": "t", "text": ""}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Jonathan Z Long, Benjamin F Cravatt "}, {"type": "b", "children": [{"type": "t", "text": "The metabolic serine hydrolases and their functions in mammalian physiology and disease."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Chem Rev (2011)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1021/cr200075y"}], "href": "https://doi.org/10.1021/cr200075y"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "21696217"}], "href": "https://pubmed.ncbi.nlm.nih.gov/21696217"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Feng Cong, Xiaoli Liu, Zongxi Han, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Transcriptome analysis of chicken kidney tissues following coronavirus avian infectious bronchitis virus infection."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "BMC Genomics (2013)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1186/1471-2164-14-743"}], "href": "https://doi.org/10.1186/1471-2164-14-743"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "24168272"}], "href": "https://pubmed.ncbi.nlm.nih.gov/24168272"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Berta Luzón-Toro, Hongsheng Gui, Macarena Ruiz-Ferrer, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Exome sequencing reveals a high genetic heterogeneity on familial Hirschsprung disease."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Sci Rep (2015)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/srep16473"}], "href": "https://doi.org/10.1038/srep16473"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "26559152"}], "href": "https://pubmed.ncbi.nlm.nih.gov/26559152"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "Yun Ji Diana Lee, Veronica Kim, Dillon C Muth, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Validated MicroRNA Target Databases: An Evaluation."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Drug Dev Res (2015)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1002/ddr.21278"}], "href": "https://doi.org/10.1002/ddr.21278"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "26286669"}], "href": "https://pubmed.ncbi.nlm.nih.gov/26286669"}]}, {"type": "r", "ref": 5, "children": [{"type": "t", "text": "Jian-Guo Zhou, He-Tong Zhao, Su-Han Jin, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Identification of a RNA-seq-based signature to improve prognostics for uterine sarcoma."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Gynecol Oncol (2019)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.ygyno.2019.08.033"}], "href": "https://doi.org/10.1016/j.ygyno.2019.08.033"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "31662204"}], "href": "https://pubmed.ncbi.nlm.nih.gov/31662204"}]}]}]}