{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T16:05:34Z","timestamp":1767715534020,"version":"3.48.0"},"reference-count":55,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T00:00:00Z","timestamp":1764633600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T00:00:00Z","timestamp":1767657600000},"content-version":"vor","delay-in-days":35,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Discov Onc"],"DOI":"10.1007\/s12672-025-04202-7","type":"journal-article","created":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T21:53:41Z","timestamp":1764712421000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Construction and validation of risk models of prognostic genes associated with parthanatos in papillary thyroid carcinoma based on bioinformatics"],"prefix":"10.1007","volume":"17","author":[{"given":"Rui","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuxin","family":"Wen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,12,2]]},"reference":[{"key":"4202_CR1","unstructured":"None. Guidelines for the diagnosis and treatment of thyroid cancer (2022). Chin J Pract Surg. 2022. 42(12):16."},{"issue":"9","key":"4202_CR2","doi-asserted-by":"publisher","first-page":"1131","DOI":"10.1507\/endocrj.EJ22-0056","volume":"69","author":"Y Ito","year":"2022","unstructured":"Ito Y, Miyauchi A, Fujishima M, Masuoka H, Higashiyama T, Kihara M, et al. Prognostic significance of patient age in papillary thyroid carcinoma with no high-risk features. Endocr J. 2022;69(9):1131\u20136.","journal-title":"Endocr J"},{"issue":"9","key":"4202_CR3","doi-asserted-by":"publisher","first-page":"2187","DOI":"10.1002\/ijc.29251","volume":"136","author":"C La Vecchia","year":"2015","unstructured":"La Vecchia C, Malvezzi M, Bosetti C, Garavello W, Bertuccio P, Levi F, et al. Thyroid cancer mortality and incidence: a global overview. Int J Cancer. 2015;136(9):2187\u201395.","journal-title":"Int J Cancer"},{"issue":"2","key":"4202_CR4","doi-asserted-by":"publisher","first-page":"324","DOI":"10.1002\/1097-0142(19910715)68:2<324::AID-CNCR2820680220>3.0.CO;2-S","volume":"68","author":"AM Schindler","year":"1991","unstructured":"Schindler AM, van Melle G, Evequoz B, Scazziga B. Prognostic factors in papillary carcinoma of the thyroid. Cancer. 1991;68(2):324\u201330.","journal-title":"Cancer"},{"issue":"3","key":"4202_CR5","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1097\/00005537-200403000-00001","volume":"114","author":"AR Shaha","year":"2004","unstructured":"Shaha AR. Implications of prognostic factors and risk groups in the management of differentiated thyroid cancer. Laryngoscope. 2004;114(3):393\u2013402.","journal-title":"Laryngoscope"},{"issue":"2022","key":"4202_CR6","doi-asserted-by":"publisher","first-page":"9959649","DOI":"10.1155\/2022\/9959649","volume":"18","author":"X Wei","year":"2022","unstructured":"Wei X, Wang X, Xiong J, Li C, Liao Y, Zhu Y, et al. Risk and prognostic factors for BRAFV600E mutations in papillary thyroid carcinoma. Biomed Res Int. 2022;18(2022):9959649.","journal-title":"Biomed Res Int"},{"issue":"1","key":"4202_CR7","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1016\/j.mce.2009.10.012","volume":"321","author":"M Xing","year":"2010","unstructured":"Xing M. Prognostic utility of BRAF mutation in papillary thyroid cancer. Mol Cell Endocrinol. 2010;321(1):86\u201393.","journal-title":"Mol Cell Endocrinol"},{"issue":"5","key":"4202_CR8","doi-asserted-by":"publisher","first-page":"731","DOI":"10.1111\/cen.14316","volume":"94","author":"B Chen","year":"2021","unstructured":"Chen B, Shi Y, Xu Y, Zhang J. The predictive value of coexisting BRAFV600E and TERT promoter mutations on poor outcomes and high tumour aggressiveness in papillary thyroid carcinoma: a systematic review and meta-analysis. Clin Endocrinol (Oxf). 2021;94(5):731\u201342.","journal-title":"Clin Endocrinol (Oxf)"},{"issue":"3","key":"4202_CR9","doi-asserted-by":"publisher","first-page":"R143","DOI":"10.1530\/ERC-15-0533","volume":"23","author":"R Liu","year":"2016","unstructured":"Liu R, Xing M. TERT promoter mutations in thyroid cancer. Endocr Relat Cancer. 2016;23(3):R143\u201355.","journal-title":"Endocr Relat Cancer"},{"issue":"2","key":"4202_CR10","doi-asserted-by":"publisher","first-page":"95","DOI":"10.20945\/2359-3997000000140","volume":"63","author":"RS Scheffel","year":"2019","unstructured":"Scheffel RS, Maia AL. The long and still uncertain journey of BRAF as a prognostic tool in patients with papillary thyroid cancer. Arch Endocrinol Metab. 2019;63(2):95\u20136.","journal-title":"Arch Endocrinol Metab"},{"issue":"6","key":"4202_CR11","doi-asserted-by":"publisher","first-page":"687","DOI":"10.1007\/s00428-016-2027-5","volume":"469","author":"A Nasirden","year":"2016","unstructured":"Nasirden A, Saito T, Fukumura Y, Hara K, Akaike K, Kurisaki-Arakawa A, et al. In Japanese patients with papillary thyroid carcinoma, TERT promoter mutation is associated with poor prognosis, in contrast to BRAF V600E mutation. Virchows Arch. 2016;469(6):687\u201396.","journal-title":"Virchows Arch"},{"issue":"4","key":"4202_CR12","doi-asserted-by":"publisher","first-page":"596","DOI":"10.1111\/cen.15290","volume":"103","author":"\u0130 \u00c7ordan","year":"2025","unstructured":"\u00c7ordan \u0130, G\u00fcnler T. CD105 (endoglin) expression as a prognostic marker in aggressive papillary thyroid carcinoma. Clin Endocrinol (Oxf). 2025;103(4):596\u2013604.","journal-title":"Clin Endocrinol (Oxf)"},{"issue":"8","key":"4202_CR13","doi-asserted-by":"publisher","DOI":"10.1007\/s00262-025-04101-4","volume":"74","author":"G Ji","year":"2025","unstructured":"Ji G, Sun H, Chen S, et al. Single-cell RNA sequencing and multi-omics analysis of prognosis-related staging in papillary thyroid cancer. Cancer Immunol Immunother. 2025;74(8):267.","journal-title":"Cancer Immunol Immunother"},{"issue":"6","key":"4202_CR14","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0325486","volume":"20","author":"J Zhang","year":"2025","unstructured":"Zhang J, Yue K, Wu Y, et al. Multi-omics analysis and single-cell sequencing revealed the lysosome associated molecular subtypes and prognostic model development of papillary thyroid carcinoma. PLoS ONE. 2025;20(6):e0325486.","journal-title":"PLoS ONE"},{"issue":"13","key":"4202_CR15","doi-asserted-by":"publisher","first-page":"7292","DOI":"10.3390\/ijms23137292","volume":"23","author":"P Huang","year":"2022","unstructured":"Huang P, Chen G, Jin W, Mao K, Wan H, He Y. Molecular mechanisms of parthanatos and its role in diverse diseases. Int J Mol Sci. 2022;23(13):7292.","journal-title":"Int J Mol Sci"},{"issue":"12","key":"4202_CR16","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2021.662034","volume":"5","author":"RC Koehler","year":"2021","unstructured":"Koehler RC, Dawson VL, Dawson TM. Targeting parthanatos in ischemic stroke. Front Neurol. 2021;5(12):662034.","journal-title":"Front Neurol"},{"issue":"187","key":"4202_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.nbd.2023.106314","volume":"15","author":"X Xu","year":"2023","unstructured":"Xu X, Sun B, Zhao C. Poly (ADP-ribose) polymerase 1 and parthanatos in neurological diseases: from pathogenesis to therapeutic opportunities. Neurobiol Dis. 2023;15(187):106314.","journal-title":"Neurobiol Dis"},{"issue":"6308","key":"4202_CR18","doi-asserted-by":"publisher","first-page":"aad6872","DOI":"10.1126\/science.aad6872","volume":"354","author":"Y Wang","year":"2016","unstructured":"Wang Y, An R, Umanah GK, Park H, Nambiar K, Eacker SM, et al. A nuclease that mediates cell death induced by DNA damage and poly(ADP-ribose) polymerase-1. Science. 2016;354(6308):aad6872.","journal-title":"Science"},{"issue":"449","key":"4202_CR19","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1016\/j.neuroscience.2020.09.049","volume":"21","author":"X Wang","year":"2020","unstructured":"Wang X, Ge P. Parthanatos in the pathogenesis of nervous system diseases. Neuroscience. 2020;21(449):241\u201350.","journal-title":"Neuroscience"},{"issue":"1","key":"4202_CR20","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1038\/s41421-022-00504-0","volume":"9","author":"X Jiang","year":"2023","unstructured":"Jiang X, Deng W, Tao S, Tang Z, Chen Y, Tian M, et al. A RIPK3-independent role of MLKL in suppressing parthanatos promotes immune evasion in hepatocellular carcinoma. Cell Discov. 2023;9(1):7.","journal-title":"Cell Discov"},{"key":"4202_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijsu.2022.106936","volume":"107","author":"Y Zou","year":"2022","unstructured":"Zou Y, Xie J, Zheng S, Liu W, Tang Y, Tian W, et al. Leveraging diverse cell-death patterns to predict the prognosis and drug sensitivity of triple-negative breast cancer patients after surgery. Int J Surg. 2022;107:106936.","journal-title":"Int J Surg"},{"issue":"3","key":"4202_CR22","doi-asserted-by":"publisher","first-page":"306","DOI":"10.1158\/1535-7163.MCT-22-0159","volume":"22","author":"C Li","year":"2023","unstructured":"Li C, Zhang J, Wu Q, Kumar A, Pan G, Kelvin DJ. Nifuroxazide activates the parthanatos to overcome TMPRSS2:ERG fusion-positive prostate cancer. Mol Cancer Ther. 2023;22(3):306\u201316.","journal-title":"Mol Cancer Ther"},{"issue":"5","key":"4202_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbadis.2024.167190","volume":"1870","author":"C Li","year":"2024","unstructured":"Li C, Xue Y, Wu J, Zhang L, Yang T, Ai M, et al. MTH1 inhibition synergizes with ROS-inducing agents to trigger cervical cancer cells undergoing parthanatos. Biochim Biophys Acta Mol Basis Dis. 2024;1870(5):167190.","journal-title":"Biochim Biophys Acta Mol Basis Dis"},{"issue":"5","key":"4202_CR24","doi-asserted-by":"publisher","first-page":"902","DOI":"10.3390\/genes13050902","volume":"13","author":"DL Chen","year":"2022","unstructured":"Chen DL, Cai JH, Wang CCN. Identification of key prognostic genes of triple negative breast cancer by LASSO-based machine learning and bioinformatics analysis. Genes (Basel). 2022;13(5):902.","journal-title":"Genes (Basel)"},{"issue":"1","key":"4202_CR25","doi-asserted-by":"publisher","first-page":"733","DOI":"10.1186\/s12885-021-08412-4","volume":"21","author":"B Wu","year":"2021","unstructured":"Wu B, Xi S. Bioinformatics analysis of differentially expressed genes and pathways in the development of cervical cancer. BMC Cancer. 2021;21(1):733.","journal-title":"BMC Cancer"},{"issue":"1","key":"4202_CR26","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1186\/s13075-023-03052-4","volume":"25","author":"Y Zhang","year":"2023","unstructured":"Zhang Y, Shan L, Li D, Tang Y, Qian W, Dai J, et al. Identification of key biomarkers associated with immune cells infiltration for myocardial injury in dermatomyositis by integrated bioinformatics analysis. Arthritis Res Ther. 2023;25(1):69.","journal-title":"Arthritis Res Ther"},{"issue":"1","key":"4202_CR27","doi-asserted-by":"publisher","first-page":"588","DOI":"10.1186\/s12967-023-04468-x","volume":"21","author":"H Qin","year":"2023","unstructured":"Qin H, Abulaiti A, Maimaiti A, Abulaiti Z, Fan G, Aili Y, et al. 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. J Transl Med. 2023;21(1):588.","journal-title":"J Transl Med"},{"issue":"7","key":"4202_CR28","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkv007","volume":"43","author":"ME Ritchie","year":"2015","unstructured":"Ritchie ME, Phipson B, Wu D, Hu Y, Law CW, Shi W, et al. limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 2015;43(7):e47.","journal-title":"Nucleic Acids Res"},{"issue":"18","key":"4202_CR29","doi-asserted-by":"publisher","first-page":"2847","DOI":"10.1093\/bioinformatics\/btw313","volume":"32","author":"Z Gu","year":"2016","unstructured":"Gu Z, Eils R, Schlesner M. Complex heatmaps reveal patterns and correlations in multidimensional genomic data. Bioinformatics. 2016;32(18):2847\u20139.","journal-title":"Bioinformatics"},{"issue":"14","key":"4202_CR30","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1186\/1471-2105-14-7","volume":"16","author":"S H\u00e4nzelmann","year":"2013","unstructured":"H\u00e4nzelmann S, Castelo R, Guinney J. GSVA: gene set variation analysis for microarray and RNA-seq data. BMC Bioinformatics. 2013;16(14):7.","journal-title":"BMC Bioinformatics"},{"issue":"9","key":"4202_CR31","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1186\/1471-2105-9-559","volume":"29","author":"P Langfelder","year":"2008","unstructured":"Langfelder P, Horvath S. WGCNA: an R package for weighted correlation network analysis. BMC Bioinformatics. 2008;29(9):559.","journal-title":"BMC Bioinformatics"},{"issue":"3","key":"4202_CR32","first-page":"100141","volume":"2","author":"T Wu","year":"2021","unstructured":"Wu T, Hu E, Xu S, Chen M, Guo P, Dai Z, et al. clusterProfiler 4.0: a universal enrichment tool for interpreting omics data. Innovation (Camb). 2021;2(3):100141.","journal-title":"Innovation (Camb)."},{"issue":"11","key":"4202_CR33","doi-asserted-by":"publisher","first-page":"2498","DOI":"10.1101\/gr.1239303","volume":"13","author":"P Shannon","year":"2003","unstructured":"Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D, et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 2003;13(11):2498\u2013504.","journal-title":"Genome Res"},{"issue":"1","key":"4202_CR34","doi-asserted-by":"publisher","first-page":"1","DOI":"10.18637\/jss.v033.i01","volume":"33","author":"J Friedman","year":"2010","unstructured":"Friedman J, Hastie T, Tibshirani R. Regularization paths for generalized linear models via coordinate descent. J Stat Softw. 2010;33(1):1\u201322.","journal-title":"J Stat Softw"},{"issue":"12","key":"4202_CR35","doi-asserted-by":"publisher","first-page":"550","DOI":"10.1186\/s13059-014-0550-8","volume":"15","author":"MI Love","year":"2014","unstructured":"Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15(12):550.","journal-title":"Genome Biol"},{"issue":"12","key":"4202_CR36","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2021.695865","volume":"31","author":"D Fu","year":"2021","unstructured":"Fu D, Zhang B, Wu S, Zhang Y, Xie J, Ning W, et al. Prognosis and characterization of immune microenvironment in acute myeloid leukemia through identification of an autophagy-related signature. Front Immunol. 2021;31(12):695865.","journal-title":"Front Immunol"},{"issue":"4765","key":"4202_CR37","doi-asserted-by":"publisher","first-page":"788","DOI":"10.1126\/science.3526552","volume":"233","author":"MT Mas","year":"1986","unstructured":"Mas MT, Chen CY, Hitzeman RA, Riggs AD. Active human-yeast chimeric phosphoglycerate kinases engineered by domain interchange. Science. 1986;233(4765):788\u201390.","journal-title":"Science"},{"key":"4202_CR38","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1007\/978-1-0716-0301-7_11","volume":"2117","author":"G Yu","year":"2020","unstructured":"Yu G. Gene ontology semantic similarity analysis using GOSemSim. Methods Mol Biol. 2020;2117:207\u201315.","journal-title":"Methods Mol Biol"},{"issue":"5","key":"4202_CR39","doi-asserted-by":"publisher","first-page":"475","DOI":"10.1089\/thy.2009.0008","volume":"20","author":"L Stein","year":"2010","unstructured":"Stein L, Rothschild J, Luce J, Cowell JK, Thomas G, Bogdanova TI, et al. Copy number and gene expression alterations in radiation-induced papillary thyroid carcinoma from chernobyl pediatric patients. Thyroid. 2010;20(5):475\u201387.","journal-title":"Thyroid"},{"issue":"2","key":"4202_CR40","doi-asserted-by":"publisher","first-page":"279","DOI":"10.3233\/CBM-181558","volume":"23","author":"J Liu","year":"2018","unstructured":"Liu J, Liu B, Guo Y, Chen Z, Sun W, Gao W, et al. Key miRNAs and target genes played roles in the development of clear cell renal cell carcinoma. Cancer Biomark. 2018;23(2):279\u201390.","journal-title":"Cancer Biomark"},{"issue":"6","key":"4202_CR41","doi-asserted-by":"publisher","first-page":"BSR20200097","DOI":"10.1042\/BSR20200097","volume":"40","author":"T Qin","year":"2020","unstructured":"Qin T, Zhao H, Shao Y, Hu N, Shi J, Fu L, et al. High expression of AK1 predicts inferior prognosis in acute myeloid leukemia patients undergoing chemotherapy. Biosci Rep. 2020;40(6):BSR20200097.","journal-title":"Biosci Rep"},{"issue":"1","key":"4202_CR42","doi-asserted-by":"publisher","first-page":"12329","DOI":"10.1038\/s41598-019-48243-9","volume":"9","author":"YH Jan","year":"2019","unstructured":"Jan YH, Lai TC, Yang CJ, Huang MS, Hsiao M. A co-expressed gene status of adenylate kinase 1\/4 reveals prognostic gene signature associated with prognosis and sensitivity to EGFR targeted therapy in lung adenocarcinoma. Sci Rep. 2019;9(1):12329.","journal-title":"Sci Rep"},{"issue":"5","key":"4202_CR43","doi-asserted-by":"publisher","first-page":"1355","DOI":"10.3892\/ijmm.2016.2534","volume":"37","author":"H Gomez-Rueda","year":"2016","unstructured":"Gomez-Rueda H, Palacios-Corona R, Guti\u00e9rrez-Hermosillo H, Trevino V. A robust biomarker of differential correlations improves the diagnosis of cytologically indeterminate thyroid cancers. Int J Mol Med. 2016;37(5):1355\u201362.","journal-title":"Int J Mol Med"},{"issue":"12","key":"4202_CR44","doi-asserted-by":"publisher","first-page":"1059591","DOI":"10.3389\/fonc.2022.1059591","volume":"14","author":"Y Tian","year":"2022","unstructured":"Tian Y, Xie T, Sun X. Analysis of the regulatory mechanisms of prognostic immune factors in thyroid cancer. Front Oncol. 2022;14(12):1059591.","journal-title":"Front Oncol"},{"issue":"8","key":"4202_CR45","doi-asserted-by":"publisher","DOI":"10.3389\/fmolb.2021.688298","volume":"21","author":"B Dong","year":"2021","unstructured":"Dong B, Liang J, Li D, Song W, Song J, Zhu M, et al. Identification of a prognostic signature associated with the homeobox gene family for bladder cancer. Front Mol Biosci. 2021;21(8):688298.","journal-title":"Front Mol Biosci"},{"issue":"9","key":"4202_CR46","doi-asserted-by":"publisher","first-page":"1074277","DOI":"10.3389\/fmolb.2022.1074277","volume":"28","author":"A Roa-Colomo","year":"2022","unstructured":"Roa-Colomo A, L\u00f3pez Garrido M\u00c1, Molina-Vallejo P, Rojas A, Sanchez MG, Aranda-Garc\u00eda V, et al. Hepatocellular carcinoma risk-stratification based on ASGR1 in circulating epithelial cells for cancer interception. Front Mol Biosci. 2022;28(9):1074277.","journal-title":"Front Mol Biosci"},{"issue":"8","key":"4202_CR47","first-page":"104781","volume":"25","author":"T Masuda","year":"2022","unstructured":"Masuda T, Haji S, Nakashima Y, Tsuda M, Kimura D, Takamatsu A, et al. Identification of a drug-response gene in multiple myeloma through longitudinal single-cell transcriptome sequencing. SiScience. 2022;25(8):104781.","journal-title":"SiScience."},{"issue":"5","key":"4202_CR48","doi-asserted-by":"publisher","first-page":"BSR20182179","DOI":"10.1042\/BSR20182179","volume":"39","author":"C Zhang","year":"2019","unstructured":"Zhang C, Jing LW, Li ZT, Chang ZW, Liu H, Zhang QM, et al. Identification of a prognostic 28-gene expression signature for gastric cancer with lymphatic metastasis. Biosci Rep. 2019;39(5):BSR20182179.","journal-title":"Biosci Rep"},{"issue":"5","key":"4202_CR49","volume":"2022","author":"Y Zhang","year":"2022","unstructured":"Zhang Y, Kong X, Xin S, Bi L, Sun X. Discovery of lipid metabolism-related genes for predicting tumor immune microenvironment status and prognosis in prostate cancer. J Oncol. 2022;2022(5):8227806.","journal-title":"J Oncol"},{"key":"4202_CR50","doi-asserted-by":"publisher","first-page":"4297","DOI":"10.2147\/CMAR.S174874","volume":"10","author":"X You","year":"2018","unstructured":"You X, Yang S, Sui J, et al. Molecular characterization of papillary thyroid carcinoma: a potential three-lncRNA prognostic signature. Cancer Manag Res. 2018;10:4297\u2013310.","journal-title":"Cancer Manag Res"},{"key":"4202_CR51","doi-asserted-by":"publisher","first-page":"1995","DOI":"10.2147\/JIR.S456452","volume":"17","author":"Y Wang","year":"2024","unstructured":"Wang Y, Li X, Huang Y, et al. The prognostic value and potential immune mechanisms of lncRNAs related to immunogenic cell death in papillary thyroid carcinoma. J Inflamm Res. 2024;17:1995\u20132008.","journal-title":"J Inflamm Res"},{"key":"4202_CR52","doi-asserted-by":"publisher","DOI":"10.7717\/peerj.15592","volume":"11","author":"T Jin","year":"2023","unstructured":"Jin T, Ge L, Chen J, et al. Identification of iron metabolism-related genes as prognostic indicators for papillary thyroid carcinoma: a retrospective study. PeerJ. 2023;11:e15592.","journal-title":"PeerJ"},{"issue":"2","key":"4202_CR53","doi-asserted-by":"publisher","DOI":"10.3389\/fcell.2021.681372","volume":"9","author":"Y Zhang","year":"2021","unstructured":"Zhang Y, Wei H, Fan L, Fang M, He X, Lu B, et al. CLEC4s as potential therapeutic targets in hepatocellular carcinoma microenvironment. Front Cell Dev Biol. 2021;9(2):681372.","journal-title":"Front Cell Dev Biol"},{"issue":"16","key":"4202_CR54","doi-asserted-by":"publisher","first-page":"4884","DOI":"10.7150\/jca.44506","volume":"11","author":"H Yin","year":"2020","unstructured":"Yin H, Tang Y, Guo Y, Wen S. Immune microenvironment of thyroid cancer. J Cancer. 2020;11(16):4884\u201396.","journal-title":"J Cancer"},{"issue":"9-10","key":"4202_CR55","doi-asserted-by":"publisher","first-page":"1406","DOI":"10.1007\/s10495-023-01871-z","volume":"28","author":"W Li","year":"2023","unstructured":"Li W, Liu P, Liu H, Zhang F, Fu Y. Integrative analysis of genes reveals endoplasmic reticulum stress-related immune responses involved in dilated cardiomyopathy with fibrosis. Apoptosis. 2023;28(9\u201310):1406\u201321.","journal-title":"Apoptosis"}],"container-title":["Discover Oncology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12672-025-04202-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12672-025-04202-7","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12672-025-04202-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T16:02:01Z","timestamp":1767715321000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12672-025-04202-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,2]]},"references-count":55,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["4202"],"URL":"https:\/\/doi.org\/10.1007\/s12672-025-04202-7","relation":{},"ISSN":["2730-6011"],"issn-type":[{"type":"electronic","value":"2730-6011"}],"subject":[],"published":{"date-parts":[[2025,12,2]]},"assertion":[{"value":"15 May 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 November 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 December 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The protocol was approved by the ethics committee of Third Hospital of Shanxi Medical University(Approval notice number: YXLL-2024\u2013173) in accordance with the Declaration of Helsinki. Informed consents (Consent to Participate and Consent to Publish) were obtained from all participants or, if participants are under 18, from a parent and\/or legal guardian.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"32"}}