{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T06:22:47Z","timestamp":1793514167573,"version":"4.5.0"},"reference-count":52,"publisher":"Springer Science and Business Media LLC","issue":"17","license":[{"start":{"date-parts":[[2023,9,7]],"date-time":"2023-09-07T00:00:00Z","timestamp":1694044800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,9,7]],"date-time":"2023-09-07T00:00:00Z","timestamp":1694044800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"crossref","award":["81773312"],"award-info":[{"award-number":["81773312"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"crossref","award":["2015A030313517"],"award-info":[{"award-number":["2015A030313517"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Talents Recruitment Grant of \u201cYangfan Plan\u201d of Guangdong Province","award":["201433005"],"award-info":[{"award-number":["201433005"]}]},{"name":"Social Development Science and Technology Project of Dongguan","award":["20211800905552"],"award-info":[{"award-number":["20211800905552"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Cancer Res Clin Oncol"],"published-print":{"date-parts":[[2023,11]]},"DOI":"10.1007\/s00432-023-05358-x","type":"journal-article","created":{"date-parts":[[2023,9,7]],"date-time":"2023-09-07T02:01:41Z","timestamp":1694052101000},"page":"15923-15938","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["A deep learning approach based on multi-omics data integration to construct a risk stratification prediction model for skin cutaneous melanoma"],"prefix":"10.1007","volume":"149","author":[{"given":"Weijia","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiao","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi","family":"Peng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Suyue","family":"Pan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuqing","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,9,7]]},"reference":[{"key":"5358_CR1","doi-asserted-by":"publisher","first-page":"448","DOI":"10.1158\/2326-6066.CIR-13-0220","volume":"2","author":"F Avogadri","year":"2014","unstructured":"Avogadri F, Zappasodi R, Yang A et al (2014) Combination of Alphavirus replicon particle-based vaccination with immunomodulatory antibodies: therapeutic activity in the B16 melanoma mouse model and immune correlates. Cancer Immunol Res 2:448\u2013458. https:\/\/doi.org\/10.1158\/2326-6066.CIR-13-0220","journal-title":"Cancer Immunol Res"},{"key":"5358_CR2","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2020.1611","volume":"3","author":"C-Y Chang","year":"2020","unstructured":"Chang C-Y, Park H, Malone DC et al (2020) Immune checkpoint inhibitors and immune-related adverse events in patients with advanced melanoma. JAMA Netw Open 3:e201611. https:\/\/doi.org\/10.1001\/jamanetworkopen.2020.1611","journal-title":"JAMA Netw Open"},{"key":"5358_CR3","doi-asserted-by":"publisher","first-page":"1248","DOI":"10.1158\/1078-0432.CCR-17-0853","volume":"24","author":"K Chaudhary","year":"2018","unstructured":"Chaudhary K, Poirion OB, Lu L, Garmire LX (2018) Deep Learning based multi-omics integration robustly predicts survival in liver cancer. Clin Cancer Res 24:1248\u20131259. https:\/\/doi.org\/10.1158\/1078-0432.CCR-17-0853","journal-title":"Clin Cancer Res"},{"key":"5358_CR4","doi-asserted-by":"publisher","first-page":"59","DOI":"10.3390\/diagnostics9020059","volume":"9","author":"Y-Y Chen","year":"2019","unstructured":"Chen Y-Y, Chang W-A, Lin E-S et al (2019) Expressions of HLA class II genes in cutaneous melanoma were associated with clinical outcome: bioinformatics approaches and systematic analysis of public microarray and RNA-Seq datasets. Diagnostics (basel) 9:59. https:\/\/doi.org\/10.3390\/diagnostics9020059","journal-title":"Diagnostics (basel)"},{"key":"5358_CR5","doi-asserted-by":"publisher","first-page":"1189022","DOI":"10.1155\/2023\/1189022","volume":"2023","author":"L Chen","year":"2023","unstructured":"Chen L, Wen Y, Xiong J et al (2023) An immunogenic cell death-related gene signature reflects immune landscape and predicts prognosis in melanoma independently of BRAF V600E status. Biomed Res Int 2023:1189022. https:\/\/doi.org\/10.1155\/2023\/1189022","journal-title":"Biomed Res Int"},{"key":"5358_CR6","doi-asserted-by":"publisher","first-page":"1213","DOI":"10.3390\/biom11081213","volume":"11","author":"C D\u2019Arcy","year":"2021","unstructured":"D\u2019Arcy C, Kiel C (2021) Cell adhesion molecules in normal skin and melanoma. Biomolecules 11:1213. https:\/\/doi.org\/10.3390\/biom11081213","journal-title":"Biomolecules"},{"key":"5358_CR7","doi-asserted-by":"publisher","first-page":"1323","DOI":"10.1007\/s00262-007-0326-z","volume":"56","author":"E di Carlo","year":"2007","unstructured":"di Carlo E, de Totero D, Piazza T et al (2007) Role of IL-21 in immune-regulation and tumor immunotherapy. Cancer Immunol Immunother 56:1323\u20131334. https:\/\/doi.org\/10.1007\/s00262-007-0326-z","journal-title":"Cancer Immunol Immunother"},{"key":"5358_CR8","doi-asserted-by":"publisher","first-page":"197","DOI":"10.17305\/bjbms.2019.4271","volume":"20","author":"I Gencia","year":"2020","unstructured":"Gencia I, Baderca F, Avram S et al (2020) A preliminary study of microRNA expression in different types of primary melanoma. Bosn J Basic Med Sci 20:197\u2013208. https:\/\/doi.org\/10.17305\/bjbms.2019.4271","journal-title":"Bosn J Basic Med Sci"},{"key":"5358_CR9","doi-asserted-by":"publisher","first-page":"542","DOI":"10.1016\/j.bioactmat.2020.04.002","volume":"5","author":"Y Hao","year":"2020","unstructured":"Hao Y, Chen Y, He X et al (2020) Near-infrared responsive 5-fluorouracil and indocyanine green loaded MPEG-PCL nanoparticle integrated with dissolvable microneedle for skin cancer therapy. Bioact Mater 5:542\u2013552. https:\/\/doi.org\/10.1016\/j.bioactmat.2020.04.002","journal-title":"Bioact Mater"},{"key":"5358_CR10","doi-asserted-by":"publisher","first-page":"1996","DOI":"10.1158\/2159-8290.CD-20-1546","volume":"11","author":"C Haymaker","year":"2021","unstructured":"Haymaker C, Johnson DH, Murthy R et al (2021) Tilsotolimod with ipilimumab drives tumor responses in anti-PD-1 refractory melanoma. Cancer Discov 11:1996. https:\/\/doi.org\/10.1158\/2159-8290.CD-20-1546","journal-title":"Cancer Discov"},{"key":"5358_CR11","first-page":"1727","volume":"12","author":"Z-H Ji","year":"2022","unstructured":"Ji Z-H, Ren W-Z, Yang S et al (2022) Identification of immune-related biomarkers associated with tumorigenesis and prognosis in skin cutaneous melanoma. Am J Cancer Res 12:1727\u20131739","journal-title":"Am J Cancer Res"},{"key":"5358_CR12","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1002\/aic.690370209","volume":"37","author":"MA Kramer","year":"1991","unstructured":"Kramer MA (1991) Nonlinear principal component analysis using autoassociative neural networks. AIChE J 37:233\u2013243. https:\/\/doi.org\/10.1002\/aic.690370209","journal-title":"AIChE J"},{"key":"5358_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.18637\/jss.v025.i01","volume":"25","author":"S L\u00ea","year":"2008","unstructured":"L\u00ea S, Josse J, Husson F (2008) FactoMineR: an R package for multivariate analysis. J Stat Softw 25:1\u201318. https:\/\/doi.org\/10.18637\/jss.v025.i01","journal-title":"J Stat Softw"},{"key":"5358_CR14","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1186\/s13059-022-02739-2","volume":"23","author":"D Leng","year":"2022","unstructured":"Leng D, Zheng L, Wen Y et al (2022) A benchmark study of deep learning-based multi-omics data fusion methods for cancer. Genome Biol 23:171. https:\/\/doi.org\/10.1186\/s13059-022-02739-2","journal-title":"Genome Biol"},{"key":"5358_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2020.103496","volume":"108","author":"E Longato","year":"2020","unstructured":"Longato E, Vettoretti M, Di Camillo B (2020) A practical perspective on the concordance index for the evaluation and selection of prognostic time-to-event models. J Biomed Inform 108:103496. https:\/\/doi.org\/10.1016\/j.jbi.2020.103496","journal-title":"J Biomed Inform"},{"key":"5358_CR16","doi-asserted-by":"publisher","first-page":"810","DOI":"10.1080\/15476286.2015.1056975","volume":"12","author":"TR Lunavat","year":"2015","unstructured":"Lunavat TR, Cheng L, Kim D-K et al (2015) Small RNA deep sequencing discriminates subsets of extracellular vesicles released by melanoma cells\u2014evidence of unique microRNA cargos. RNA Biol 12:810\u2013823. https:\/\/doi.org\/10.1080\/15476286.2015.1056975","journal-title":"RNA Biol"},{"key":"5358_CR17","doi-asserted-by":"publisher","DOI":"10.1042\/BSR20201482","author":"J Lv","year":"2020","unstructured":"Lv J, Wang J, Shang X et al (2020) Survival prediction in patients with colon adenocarcinoma via multiomics data integration using a deep learning algorithm. Biosci Rep. https:\/\/doi.org\/10.1042\/BSR20201482"},{"key":"5358_CR18","doi-asserted-by":"publisher","DOI":"10.3389\/fphar.2022.930041","volume":"13","author":"H Lv","year":"2022","unstructured":"Lv H, Liu X, Zeng X et al (2022) Comprehensive analysis of cuproptosis-related genes in immune infiltration and prognosis in melanoma. Front Pharmacol 13:930041. https:\/\/doi.org\/10.3389\/fphar.2022.930041","journal-title":"Front Pharmacol"},{"key":"5358_CR19","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1038\/s41467-019-14085-2","volume":"11","author":"KL Marie","year":"2020","unstructured":"Marie KL, Sassano A, Yang HH et al (2020) Melanoblast transcriptome analysis reveals pathways promoting melanoma metastasis. Nat Commun 11:333. https:\/\/doi.org\/10.1038\/s41467-019-14085-2","journal-title":"Nat Commun"},{"key":"5358_CR20","unstructured":"Meyer D, Dimitriadou E, Hornik K, et al (2014) Misc Functions of the Department of Statistics (e1071), TU Wien"},{"key":"5358_CR21","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1007\/s00251-016-0964-4","volume":"69","author":"D Miller","year":"2017","unstructured":"Miller D, Tallmadge RL, Binns M et al (2017) Polymorphism at expressed DQ and DR loci in five common equine MHC haplotypes. Immunogenetics 69:145\u2013156. https:\/\/doi.org\/10.1007\/s00251-016-0964-4","journal-title":"Immunogenetics"},{"key":"5358_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbrep.2021.101074","volume":"27","author":"AT Moin","year":"2021","unstructured":"Moin AT, Sarkar B, Ullah MA et al (2021) In silico assessment of EpCAM transcriptional expression and determination of the prognostic biomarker for human lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). Biochem Biophys Rep 27:101074. https:\/\/doi.org\/10.1016\/j.bbrep.2021.101074","journal-title":"Biochem Biophys Rep"},{"key":"5358_CR23","doi-asserted-by":"publisher","first-page":"440","DOI":"10.1158\/2159-8290.CD-19-0116","volume":"10","author":"P Mondello","year":"2020","unstructured":"Mondello P, Tadros S, Teater M et al (2020) Selective inhibition of HDAC3 targets synthetic vulnerabilities and activates immune surveillance in lymphoma. Cancer Discov 10:440\u2013459. https:\/\/doi.org\/10.1158\/2159-8290.CD-19-0116","journal-title":"Cancer Discov"},{"key":"5358_CR24","doi-asserted-by":"publisher","first-page":"687","DOI":"10.1053\/j.gastro.2004.12.042","volume":"128","author":"G Monteleone","year":"2005","unstructured":"Monteleone G, Monteleone I, Fina D et al (2005) Interleukin-21 enhances T-helper cell type I signaling and interferon-\u03b3 production in Crohn\u2019s disease. Gastroenterology 128:687\u2013694. https:\/\/doi.org\/10.1053\/j.gastro.2004.12.042","journal-title":"Gastroenterology"},{"key":"5358_CR25","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1002\/1878-0261.12601","volume":"14","author":"S Pavey","year":"2020","unstructured":"Pavey S, Pinder A, Fernando W et al (2020) Multiple interaction nodes define the postreplication repair response to UV-induced DNA damage that is defective in melanomas and correlated with UV signature mutation load. Mol Oncol 14:22. https:\/\/doi.org\/10.1002\/1878-0261.12601","journal-title":"Mol Oncol"},{"key":"5358_CR26","doi-asserted-by":"publisher","first-page":"1004511","DOI":"10.3389\/fonc.2022.1004511","volume":"12","author":"J Peng","year":"2022","unstructured":"Peng J, Wang T, Yue C et al (2022) PGAM5: A necroptosis gene associated with poor tumor prognosis that promotes cutaneous melanoma progression. Front Oncol 12:1004511. https:\/\/doi.org\/10.3389\/fonc.2022.1004511","journal-title":"Front Oncol"},{"key":"5358_CR27","doi-asserted-by":"publisher","first-page":"3396","DOI":"10.1200\/JCO.2011.40.0655","volume":"30","author":"TM Petrella","year":"2012","unstructured":"Petrella TM, Tozer R, Belanger K et al (2012) Interleukin-21 has activity in patients with metastatic melanoma: a phase II study. J Clin Oncol 30:3396\u20133401. https:\/\/doi.org\/10.1200\/JCO.2011.40.0655","journal-title":"J Clin Oncol"},{"key":"5358_CR28","first-page":"197","volume":"2017","author":"OB Poirion","year":"2018","unstructured":"Poirion OB, Chaudhary K, Garmire LX (2018) Deep Learning data integration for better risk stratification models of bladder cancer. AMIA Jt Summits Transl Sci Proc 2017:197\u2013206","journal-title":"AMIA Jt Summits Transl Sci Proc"},{"key":"5358_CR29","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkv007","volume":"43","author":"ME Ritchie","year":"2015","unstructured":"Ritchie ME, Phipson B, Wu D et al (2015) limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res 43:e47. https:\/\/doi.org\/10.1093\/nar\/gkv007","journal-title":"Nucleic Acids Res"},{"key":"5358_CR30","doi-asserted-by":"publisher","first-page":"971","DOI":"10.1016\/S0140-6736(18)31559-9","volume":"392","author":"D Schadendorf","year":"2018","unstructured":"Schadendorf D, Van Akkooi ACJ, Berking C et al (2018) Melanoma. Lancet 392:971\u2013984. https:\/\/doi.org\/10.1016\/S0140-6736(18)31559-9","journal-title":"Lancet"},{"key":"5358_CR31","doi-asserted-by":"publisher","first-page":"3206","DOI":"10.1093\/bioinformatics\/btr511","volume":"27","author":"MS Schr\u00f6der","year":"2011","unstructured":"Schr\u00f6der MS, Culhane AC, Quackenbush J, Haibe-Kains B (2011) survcomp: an R\/Bioconductor package for performance assessment and comparison of survival models. Bioinformatics 27:3206\u20133208. https:\/\/doi.org\/10.1093\/bioinformatics\/btr511","journal-title":"Bioinformatics"},{"key":"5358_CR32","doi-asserted-by":"publisher","first-page":"1447","DOI":"10.3727\/096504018X15193823766141","volume":"26","author":"Q Shi","year":"2018","unstructured":"Shi Q, He Q, Wei J (2018) MicroRNA-342 prohibits proliferation and invasion of melanoma cells by directly targeting zinc-finger E-box-binding Homeobox 1. Oncol Res 26:1447\u20131455. https:\/\/doi.org\/10.3727\/096504018X15193823766141","journal-title":"Oncol Res"},{"key":"5358_CR33","doi-asserted-by":"publisher","first-page":"10","DOI":"10.3322\/caac.21387","volume":"67","author":"RL Siegel","year":"2017","unstructured":"Siegel RL, Miller KD, Jemal A (2017) Cancer Statistics, 2017. CA Cancer J Clin 67:10. https:\/\/doi.org\/10.3322\/caac.21387","journal-title":"CA Cancer J Clin"},{"key":"5358_CR34","doi-asserted-by":"publisher","first-page":"317","DOI":"10.3727\/096504018X15228863026239","volume":"27","author":"X Sun","year":"2019","unstructured":"Sun X, Zhang C, Cao Y, Liu E (2019) miR-150 suppresses tumor growth in melanoma through downregulation of MYB. Oncol Res 27:317\u2013323. https:\/\/doi.org\/10.3727\/096504018X15228863026239","journal-title":"Oncol Res"},{"key":"5358_CR35","doi-asserted-by":"publisher","DOI":"10.1136\/jitc-2022-005088","volume":"10","author":"KKK Tanagala","year":"2022","unstructured":"Tanagala KKK, Morin-Baxter J, Carvajal R et al (2022) SP140 inhibits STAT1 signaling, induces IFN-\u03b3 in tumor-associated macrophages, and is a predictive biomarker of immunotherapy response. J Immunother Cancer 10:e005088. https:\/\/doi.org\/10.1136\/jitc-2022-005088","journal-title":"J Immunother Cancer"},{"key":"5358_CR36","doi-asserted-by":"publisher","first-page":"1","DOI":"10.18637\/jss.v106.i01","volume":"106","author":"JK Tay","year":"2023","unstructured":"Tay JK, Narasimhan B, Hastie T (2023) Elastic net regularization paths for all generalized linear models. J Stat Softw 106:1\u201331. https:\/\/doi.org\/10.18637\/jss.v106.i01","journal-title":"J Stat Softw"},{"key":"5358_CR37","unstructured":"Team R (2014) R: A language and environment for statistical computing. MSOR connections"},{"key":"5358_CR38","doi-asserted-by":"publisher","first-page":"254","DOI":"10.1111\/pcmr.12343","volume":"28","author":"V Tembe","year":"2015","unstructured":"Tembe V, Schramm S-J, Stark MS et al (2015) MicroRNA and mRNA expression profiling in metastatic melanoma reveal associations with BRAF mutation and patient prognosis. Pigment Cell Melanoma Res 28:254\u2013266. https:\/\/doi.org\/10.1111\/pcmr.12343","journal-title":"Pigment Cell Melanoma Res"},{"key":"5358_CR39","doi-asserted-by":"publisher","first-page":"3982","DOI":"10.1093\/bioinformatics\/btx513","volume":"33","author":"Y Tian","year":"2017","unstructured":"Tian Y, Morris TJ, Webster AP et al (2017) ChAMP: updated methylation analysis pipeline for Illumina BeadChips. Bioinformatics 33:3982\u20133984. https:\/\/doi.org\/10.1093\/bioinformatics\/btx513","journal-title":"Bioinformatics"},{"key":"5358_CR40","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2022.998454","volume":"13","author":"Q Wan","year":"2022","unstructured":"Wan Q, Wei R, Wei X, Deng Y (2022) Crosstalk of four kinds of cell deaths defines subtypes of cutaneous melanoma for precise immunotherapy and chemotherapy. Front Immunol 13:998454. https:\/\/doi.org\/10.3389\/fimmu.2022.998454","journal-title":"Front Immunol"},{"key":"5358_CR41","doi-asserted-by":"publisher","first-page":"2528","DOI":"10.3390\/cancers13112528","volume":"13","author":"T-H Wang","year":"2021","unstructured":"Wang T-H, Lee C-Y, Lee T-Y et al (2021) Biomarker identification through multiomics data analysis of prostate cancer prognostication using a deep learning model and similarity network fusion. Cancers (basel) 13:2528. https:\/\/doi.org\/10.3390\/cancers13112528","journal-title":"Cancers (basel)"},{"key":"5358_CR42","doi-asserted-by":"publisher","DOI":"10.1016\/j.xinn.2021.100141","volume":"2","author":"T Wu","year":"2021","unstructured":"Wu T, Hu E, Xu S et al (2021) clusterProfiler 40: A universal enrichment tool for interpreting omics data. Innovation (camb) 2:100141. https:\/\/doi.org\/10.1016\/j.xinn.2021.100141","journal-title":"Innovation (camb)"},{"key":"5358_CR43","doi-asserted-by":"publisher","first-page":"280","DOI":"10.3390\/cancers11030280","volume":"11","author":"J Xiong","year":"2019","unstructured":"Xiong J, Bing Z, Guo S (2019) Observed survival interval: a supplement to TCGA pan-cancer clinical data resource. Cancers (basel) 11:280. https:\/\/doi.org\/10.3390\/cancers11030280","journal-title":"Cancers (basel)"},{"key":"5358_CR44","doi-asserted-by":"publisher","first-page":"1697","DOI":"10.3892\/ijmm.2019.4354","volume":"44","author":"D Xue","year":"2019","unstructured":"Xue D, Yang P, Wei Q et al (2019) IL-21\/IL-21R inhibit tumor growth and invasion in non-small cell lung cancer cells via suppressing Wnt\/\u03b2-catenin signaling and PD-L1 expression. Int J Mol Med 44:1697\u20131706. https:\/\/doi.org\/10.3892\/ijmm.2019.4354","journal-title":"Int J Mol Med"},{"key":"5358_CR45","doi-asserted-by":"publisher","first-page":"2287","DOI":"10.1177\/09622802221122391","volume":"31","author":"W Yang","year":"2022","unstructured":"Yang W, Jiang J, Schnellinger EM et al (2022) Modified Brier score for evaluating prediction accuracy for binary outcomes. Stat Methods Med Res 31:2287\u20132296. https:\/\/doi.org\/10.1177\/09622802221122391","journal-title":"Stat Methods Med Res"},{"key":"5358_CR46","doi-asserted-by":"publisher","first-page":"2257","DOI":"10.1093\/annonc\/mdq758","volume":"22","author":"X Zhang","year":"2011","unstructured":"Zhang X, Yan Z, Zhang J et al (2011) Combination of hsa-miR-375 and hsa-miR-142-5p as a predictor for recurrence risk in gastric cancer patients following surgical resection. Ann Oncol 22:2257\u20132266. https:\/\/doi.org\/10.1093\/annonc\/mdq758","journal-title":"Ann Oncol"},{"key":"5358_CR47","doi-asserted-by":"publisher","first-page":"477","DOI":"10.3389\/fgene.2018.00477","volume":"9","author":"L Zhang","year":"2018","unstructured":"Zhang L, Lv C, Jin Y et al (2018) Deep learning-based multi-omics data integration reveals two prognostic subtypes in high-risk neuroblastoma. Front Genet 9:477. https:\/\/doi.org\/10.3389\/fgene.2018.00477","journal-title":"Front Genet"},{"key":"5358_CR48","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1002\/ptr.6525","volume":"34","author":"Y Zhang","year":"2020","unstructured":"Zhang Y, Gao M, Chen L et al (2020) Licochalcone A restrains microphthalmia-associated transcription factor expression and growth by activating autophagy in melanoma cells via miR-142-3p\/Rheb\/mTOR pathway. Phytother Res 34:349\u2013358. https:\/\/doi.org\/10.1002\/ptr.6525","journal-title":"Phytother Res"},{"key":"5358_CR49","doi-asserted-by":"publisher","first-page":"4710","DOI":"10.1002\/cam4.3963","volume":"10","author":"C Zhang","year":"2021","unstructured":"Zhang C, Dang D, Cong L et al (2021a) Pivotal factors associated with the immunosuppressive tumor microenvironment and melanoma metastasis. Cancer Med 10:4710\u20134720. https:\/\/doi.org\/10.1002\/cam4.3963","journal-title":"Cancer Med"},{"key":"5358_CR50","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1186\/s40246-021-00350-3","volume":"15","author":"E Zhang","year":"2021","unstructured":"Zhang E, Chen Y, Bao S et al (2021b) Identification of subgroups along the glycolysis-cholesterol synthesis axis and the development of an associated prognostic risk model. Hum Genomics 15:53. https:\/\/doi.org\/10.1186\/s40246-021-00350-3","journal-title":"Hum Genomics"},{"key":"5358_CR51","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2021.689626","volume":"11","author":"X Zhang","year":"2021","unstructured":"Zhang X, Wang J, Lu J et al (2021c) Robust prognostic subtyping of muscle-invasive bladder cancer revealed by deep learning-based multi-omics data integration. Front Oncol 11:689626. https:\/\/doi.org\/10.3389\/fonc.2021.689626","journal-title":"Front Oncol"},{"key":"5358_CR52","doi-asserted-by":"publisher","first-page":"242","DOI":"10.1186\/s13046-018-0911-3","volume":"37","author":"X Zhou","year":"2018","unstructured":"Zhou X, Yan T, Huang C et al (2018) Melanoma cell-secreted exosomal miR-155-5p induce proangiogenic switch of cancer-associated fibroblasts via SOCS1\/JAK2\/STAT3 signaling pathway. J Exp Clin Cancer Res 37:242. https:\/\/doi.org\/10.1186\/s13046-018-0911-3","journal-title":"J Exp Clin Cancer Res"}],"container-title":["Journal of Cancer Research and Clinical Oncology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00432-023-05358-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00432-023-05358-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00432-023-05358-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T05:24:57Z","timestamp":1698816297000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00432-023-05358-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,7]]},"references-count":52,"journal-issue":{"issue":"17","published-print":{"date-parts":[[2023,11]]}},"alternative-id":["5358"],"URL":"https:\/\/doi.org\/10.1007\/s00432-023-05358-x","relation":{"references":[{"id-type":"uri","id":"","asserted-by":"subject"}]},"ISSN":["0171-5216","1432-1335"],"issn-type":[{"value":"0171-5216","type":"print"},{"value":"1432-1335","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9,7]]},"assertion":[{"value":"27 June 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 August 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 September 2023","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 authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}