{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T12:44:15Z","timestamp":1787748255344,"version":"build-2784847793"},"reference-count":38,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2025,7,27]],"date-time":"2025-07-27T00:00:00Z","timestamp":1753574400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Genes"],"abstract":"<jats:p>Background: Programmed cell death-related genes (PCDRGs) have been reported to play an important role in diagnosis, treatment and immunity regarding cancer, but their prognostic value and therapeutic potential in acute myeloid leukemia (AML) patients still need to be fully explored. Methods: Cox regression analysis and Least Absolute Shrinkage and Selection Operator (LASSO) analysis were used to identify PCDRGs significantly associated with the prognosis of AML patients. Furthermore, a prognostic risk model for AML patients was constructed based on the selected PCDRGs, and their immune microenvironment and biological pathways were analyzed. Cell experiments ultimately confirmed the potential role of PCDRGs in AML. Results: The results yielded four PCDRGs that were used to develop a prognostic risk model, and the prognostic significance of this model was confirmed using an independent external AML patient cohort. This prognostic risk model provides an independent prognostic risk factor for AML patients. This prognostic feature is related to immune cell infiltration in AML patients. The inhibition of solute carrier family 39 member 14 (SLC39A14) expression enhanced apoptosis and inhibited cell cycle progression in AML cells. Conclusions: This study integrates bioinformatics analysis and cellular experiments to reveal potential gene therapy targets and prognostic gene markers in AML.<\/jats:p>","DOI":"10.3390\/genes16080887","type":"journal-article","created":{"date-parts":[[2025,7,28]],"date-time":"2025-07-28T14:50:03Z","timestamp":1753714203000},"page":"887","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["SLC39A14 Is a Potential Therapy Target and Prognostic Biomarker for Acute Myeloid Leukemia"],"prefix":"10.3390","volume":"16","author":[{"given":"Yun","family":"Li","sequence":"first","affiliation":[{"name":"Team of Neonatal & Infant Development, Health and Nutrition, NDHN, School of Biology and Pharmaceutical Engineering, Wuhan Polytechnic University, Wuhan 430024, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liming","family":"Shan","sequence":"additional","affiliation":[{"name":"Department of Hematology, Affiliated Hangzhou First People\u2019s Hospital, School of Medicine, Westlake University, Hangzhou 310006, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,7,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1186\/s13045-024-01586-x","article-title":"IL1RAP-specific T cell engager depletes acute myeloid leukemia stem cells","volume":"17","author":"Zhang","year":"2024","journal-title":"J. Hematol. Oncol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1159\/000536152","article-title":"Pathophysiology of Acute Myeloid Leukemia","volume":"147","author":"Wachter","year":"2024","journal-title":"Acta Haematol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1097\/MPH.0000000000002840","article-title":"Acute Myeloid Leukemia and Next-Generation Sequencing Panels for Diagnosis: A Comprehensive Review","volume":"46","author":"Chaudhary","year":"2024","journal-title":"J. Pediatr. Hematol. Oncol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"4883","DOI":"10.1007\/s00277-024-06117-9","article-title":"Immunosuppressive microenvironment in acute myeloid leukemia: Overview, therapeutic targets and corresponding strategies","volume":"103","author":"Zha","year":"2024","journal-title":"Ann. Hematol."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Fu, D., Zhang, B., Wu, S., Zhang, Y., Xie, J., Ning, W., and Jiang, H. (2021). Prognosis and Characterization of Immune Microenvironment in Acute Myeloid Leukemia Through Identification of an Autophagy-Related Signature. Front. Immunol., 12.","DOI":"10.3389\/fimmu.2021.695865"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Cao, K., Zhu, J., Lu, M., Zhang, J., Yang, Y., Ling, X., Zhang, L., Qi, C., Wei, S., and Zhang, Y. (2024). Analysis of multiple programmed cell death-related prognostic genes and functional validations of necroptosis-associated genes in oesophageal squamous cell carcinoma. EBioMedicine, 99.","DOI":"10.1016\/j.ebiom.2023.104920"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"356","DOI":"10.1038\/s41420-024-02116-x","article-title":"Programmed cell death in hepatocellular carcinoma: Mechanisms and therapeutic prospects","volume":"10","author":"Wu","year":"2024","journal-title":"Cell Death Discov."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"486","DOI":"10.1038\/s41418-017-0012-4","article-title":"Molecular mechanisms of cell death: Recommendations of the Nomenclature Committee on Cell Death 2018","volume":"25","author":"Galluzzi","year":"2018","journal-title":"Cell Death Differ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"e010008","DOI":"10.1136\/jitc-2024-010008","article-title":"Leveraging mitochondrial-programmed cell death dynamics to enhance prognostic accuracy and immunotherapy efficacy in lung adenocarcinoma","volume":"12","author":"Zhang","year":"2024","journal-title":"J. Immunother. Cancer"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"588","DOI":"10.1186\/s12967-023-04468-x","article-title":"Integrated machine learning survival framework develops a prognostic model based on inter-crosstalk definition of mitochondrial function and cell death patterns in a large multicenter cohort for lower-grade glioma","volume":"21","author":"Qin","year":"2023","journal-title":"J. Transl. Med."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Bao, X., Chen, Y., Chang, J., Du, J., Yang, C., Wu, Y., Sha, Y., Li, M., Chen, S., and Yang, M. (2025). Machine learning-based bulk RNA analysis reveals a prognostic signature of 13 cell death patterns and potential therapeutic target of SMAD3 in acute myeloid leukemia. BMC Cancer, 25.","DOI":"10.1186\/s12885-025-13658-3"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Wang, J., and Jiang, H. (2024). A novel mitochondrial function-associated programmed cell death-related prognostic signature for predicting the prognosis of early breast cancer. Front. Genet., 15.","DOI":"10.3389\/fgene.2024.1406426"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Jiang, Y.C., Xu, Q.T., Wang, H.B., Ren, S.Y., and Zhang, Y. (2024). A novel prognostic signature related to programmed cell death in osteosarcoma. Front. Immunol., 15.","DOI":"10.3389\/fimmu.2024.1427661"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1080\/10428194.2024.2404957","article-title":"Prognostic assessment value of immune escape-related genes in patients with acute myeloid leukemia","volume":"66","author":"Shangguan","year":"2025","journal-title":"Leuk. Lymphoma"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"3781","DOI":"10.1007\/s10238-023-01127-9","article-title":"A novel angiogenesis-related scoring model predicts prognosis risk and treatment responsiveness in diffuse large B-cell lymphoma","volume":"23","author":"Liu","year":"2023","journal-title":"Clin. Exp. Med."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"e19342","DOI":"10.1016\/j.heliyon.2023.e19342","article-title":"Prognostic and immunological characterization of diffuse large B-cell lymphoma evaluated by co-stimulatory molecular-related features","volume":"9","author":"Sheng","year":"2023","journal-title":"Heliyon"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1007\/s12672-025-01862-3","article-title":"Construction of regulatory T cells specific genes predictive models of prostate cancer patients based on machine learning: A computational analysis and in vitro experiments","volume":"16","author":"Zhou","year":"2025","journal-title":"Discov. Oncol."},{"key":"ref_18","first-page":"2460","article-title":"A necroptosis gene signature predicts prostate cancer recurrence, and is linked to somatic mutation, therapeutic landscape, and immune infiltration","volume":"15","author":"Wang","year":"2023","journal-title":"Am. J. Transl. Res."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1186\/s12967-022-03656-5","article-title":"Cancer-associated fibroblast-derived gene signatures predict radiotherapeutic survival in prostate cancer patients","volume":"20","author":"Zhang","year":"2022","journal-title":"J. Transl. Med."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1007\/s12672-025-01835-6","article-title":"Immunological characterization and prognostic of colon cancer evaluated by angiogenesis-related features: A computational analysis and in vitro experiments","volume":"16","author":"Liu","year":"2025","journal-title":"Discov. Oncol."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"e24857","DOI":"10.1016\/j.heliyon.2024.e24857","article-title":"GPX4 is a potential diagnostic and therapeutic biomarker associated with diffuse large B lymphoma cell proliferation and B cell immune infiltration","volume":"10","author":"Chen","year":"2024","journal-title":"Heliyon"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Wang, Y., Chen, X., Li, Y., Zhang, Z., Xia, L., Jiang, J., Chai, Y., Wang, Z., Wan, Y., and Li, T. (2024). SLC27A2 is a potential immune biomarker for hematological tumors and significantly regulates the cell cycle progression of diffuse large B-cell lymphoma. BMC Med. Genom., 17.","DOI":"10.1186\/s12920-024-01853-3"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1454","DOI":"10.1007\/s10495-024-01996-9","article-title":"SNCA is a potential therapeutic target for COVID-19 infection in diffuse large B-cell lymphoma patients","volume":"29","author":"Chen","year":"2024","journal-title":"Apoptosis"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"2300855","DOI":"10.1080\/16078454.2023.2300855","article-title":"A combined immune and exosome-related risk signature as prognostic biomakers in acute myeloid leukemia","volume":"29","author":"Fang","year":"2024","journal-title":"Hematology"},{"key":"ref_25","first-page":"84","article-title":"Comprehensive Mutation Profile in Acute Myeloid Leukemia Patients with RUNX1-RUNX1T1 or CBFB-MYH11 Fusions","volume":"39","author":"Qin","year":"2022","journal-title":"Turk. J. Hematol."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"T69","DOI":"10.1530\/JME-22-0141","article-title":"How retinoic acid and arsenic transformed acute promyelocytic leukemia therapy","volume":"69","author":"Korsos","year":"2022","journal-title":"J. Mol. Endocrinol."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1104","DOI":"10.1001\/jamaoncol.2024.0985","article-title":"Measurable Residual FLT3 Internal Tandem Duplication Before Allogeneic Transplant for Acute Myeloid Leukemia","volume":"10","author":"Dillon","year":"2024","journal-title":"JAMA Oncol."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1038\/s41408-024-01186-5","article-title":"What have we learned about TP53-mutated acute myeloid leukemia ?","volume":"14","author":"Shahzad","year":"2024","journal-title":"Blood Cancer J."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1186\/s13148-024-01771-2","article-title":"TET2 mutation in acute myeloid leukemia: Biology, clinical significance, and therapeutic insights","volume":"16","author":"Gao","year":"2024","journal-title":"Clin. Epigenetics"},{"key":"ref_30","first-page":"12","article-title":"Acute myeloid leukemia: Novel mutations and their clinical implications","volume":"13","author":"Makkar","year":"2023","journal-title":"Am. J. Blood Res."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1038\/s41392-023-01605-2","article-title":"STAT5 promotes PD-L1 expression by facilitating histone lactylation to drive immunosuppression in acute myeloid leukemia","volume":"8","author":"Huang","year":"2023","journal-title":"Signal Transduct. Target. Ther."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1119","DOI":"10.1182\/blood.2022018092","article-title":"Metabolism in acute myeloid leukemia: Mechanistic insights and therapeutic targets","volume":"141","author":"Mishra","year":"2023","journal-title":"Blood"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Bolkun, L., Pienkowski, T., Sieminska, J., Godzien, J., Pietrowska, K., K\u0142oczko, J., Wierzbowska, A., Moniuszko, M., Ratajczak, M., and Kretowski, A. (2023). Metabolomic profile of acute myeloid leukaemia parallels of prognosis and response to therapy. Sci. Rep., 13.","DOI":"10.1038\/s41598-023-48970-0"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"11351","DOI":"10.1007\/s00432-023-05000-w","article-title":"Molecular subtypes of lung adenocarcinoma patients for prognosis and therapeutic response prediction with machine learning on 13 programmed cell death patterns","volume":"149","author":"Wei","year":"2023","journal-title":"J. Cancer Res. Clin. Oncol."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Morana, O., Wood, W., and Gregory, C.D. (2022). The Apoptosis Paradox in Cancer. Int. J. Mol. Sci., 23.","DOI":"10.3390\/ijms23031328"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1005","DOI":"10.1038\/s41418-023-01117-0","article-title":"Lymphoma cells lacking pro-apoptotic BAX are highly resistant to BH3-mimetics targeting pro-survival MCL-1 but retain sensitivity to conventional DNA-damaging drugs","volume":"30","author":"Diepstraten","year":"2023","journal-title":"Cell Death Differ."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1616","DOI":"10.1093\/infdis\/jiac174","article-title":"Pharmacogenetics of Dolutegravir Plasma Exposure Among Southern Africans With Human Immunodeficiency Virus","volume":"226","author":"Cindi","year":"2022","journal-title":"J. Infect. Dis."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Wu, X., Zhu, J., Lu, R., and Ouyang, Y. (2023). Knockdown of SLC39A14 inhibits glioma progression by promoting erastin-induced ferroptosis SLC39A14 knockdown inhibits glioma progression. BMC Cancer, 23.","DOI":"10.1186\/s12885-023-11637-0"}],"container-title":["Genes"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2073-4425\/16\/8\/887\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T18:16:54Z","timestamp":1760033814000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2073-4425\/16\/8\/887"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,27]]},"references-count":38,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2025,8]]}},"alternative-id":["genes16080887"],"URL":"https:\/\/doi.org\/10.3390\/genes16080887","relation":{},"ISSN":["2073-4425"],"issn-type":[{"value":"2073-4425","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7,27]]}}}