{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T16:49:09Z","timestamp":1791823749638,"version":"4.3.4"},"reference-count":46,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T00:00:00Z","timestamp":1784160000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T00:00:00Z","timestamp":1791763200000},"content-version":"vor","delay-in-days":88,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"name":"Dongguan Science and Technology of Social Development Program","award":["No. 20231800935422"],"award-info":[{"award-number":["No. 20231800935422"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cancer Cell Int"],"DOI":"10.1186\/s12935-026-04417-w","type":"journal-article","created":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T17:56:42Z","timestamp":1784224602000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A multi-omics prognostic model integrating disulfidptosis-related molecular features in colorectal cancer"],"prefix":"10.1186","volume":"26","author":[{"given":"Huabin","family":"Zhou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Songrui","family":"Xiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongjun","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shipeng","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanchi","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yulan","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chao","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,16]]},"reference":[{"key":"4417_CR1","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1136\/gutjnl-2022-327736","volume":"72","author":"E Morgan","year":"2023","unstructured":"Morgan E, Arnold M, Gini A, Lorenzoni V, Cabasag CJ, Laversanne M, et al. Global burden of colorectal cancer in 2020 and 2040: incidence and mortality estimates from GLOBOCAN. Gut. 2023;72:338\u201344. https:\/\/doi.org\/10.1136\/gutjnl-2022-327736.","journal-title":"Gut"},{"key":"4417_CR2","doi-asserted-by":"publisher","first-page":"209","DOI":"10.3322\/caac.21660","volume":"71","author":"H Sung","year":"2020","unstructured":"Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2020;71:209\u201349. https:\/\/doi.org\/10.3322\/caac.21660.","journal-title":"CA Cancer J Clin"},{"key":"4417_CR3","doi-asserted-by":"publisher","first-page":"12","DOI":"10.3322\/caac.21820","volume":"74","author":"RL Siegel","year":"2024","unstructured":"Siegel RL, Giaquinto AN, Jemal A. Cancer statistics, 2024. CA Cancer J Clin. 2024;74:12\u201349. https:\/\/doi.org\/10.3322\/caac.21820.","journal-title":"CA Cancer J Clin"},{"key":"4417_CR4","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1093\/annonc\/mdx738","volume":"29","author":"T Yoshino","year":"2018","unstructured":"Yoshino T, Arnold D, Taniguchi H, Pentheroudakis G, Yamazaki K, Xu R-H, et al. Pan-Asian adapted ESMO consensus guidelines for the management of patients with metastatic colorectal cancer: a JSMO\u2013ESMO initiative endorsed by CSCO, KACO, MOS, SSO and TOS. Ann Oncol. 2018;29:44\u201370. https:\/\/doi.org\/10.1093\/annonc\/mdx738.","journal-title":"Ann Oncol"},{"key":"4417_CR5","doi-asserted-by":"publisher","first-page":"1471","DOI":"10.1245\/s10434-010-0985-4","volume":"17","author":"SB Edge","year":"2010","unstructured":"Edge SB, Compton CC. The American Joint Committee on Cancer: the 7th edition of the AJCC cancer staging manual and the future of TNM. Ann Surg Oncol. 2010;17:1471\u20134. https:\/\/doi.org\/10.1245\/s10434-010-0985-4.","journal-title":"Ann Surg Oncol"},{"key":"4417_CR6","doi-asserted-by":"publisher","first-page":"486","DOI":"10.1038\/s41418-017-0012-4","volume":"25","author":"L Galluzzi","year":"2018","unstructured":"Galluzzi L, Vitale I, Aaronson SA, Abrams JM, Adam D, Agostinis P, et al. Molecular mechanisms of cell death: recommendations of the Nomenclature Committee on Cell Death 2018. Cell Death Differ. 2018;25:486\u2013541. https:\/\/doi.org\/10.1038\/s41418-017-0012-4.","journal-title":"Cell Death Differ"},{"key":"4417_CR7","doi-asserted-by":"publisher","first-page":"376","DOI":"10.1016\/j.trecan.2025.01.012","volume":"11","author":"L Cheng","year":"2025","unstructured":"Cheng L, Wang Y, Zhang Y. Dying to survive: harnessing inflammatory cell death for better immunotherapy. Trends Cancer. 2025;11:376\u2013402. https:\/\/doi.org\/10.1016\/j.trecan.2025.01.012.","journal-title":"Trends Cancer"},{"key":"4417_CR8","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1016\/j.tcb.2023.07.009","volume":"34","author":"X Liu","year":"2024","unstructured":"Liu X, Zhuang L, Gan B. Disulfidptosis: disulfide stress-induced cell death. Trends Cell Biol. 2024;34:327\u201337. https:\/\/doi.org\/10.1016\/j.tcb.2023.07.009.","journal-title":"Trends Cell Biol"},{"key":"4417_CR9","doi-asserted-by":"publisher","first-page":"1308352","DOI":"10.3389\/fcell.2023.1308352","volume":"11","author":"Z Liao","year":"2023","unstructured":"Liao Z, Cheng Y, Zhang H, Jin X, Sun H, Wang Y, et al. A novel prognostic signature and immune microenvironment characteristics associated with disulfidptosis in papillary thyroid carcinoma based on single-cell RNA sequencing. Front Cell Dev Biol. 2023;11:1308352. https:\/\/doi.org\/10.3389\/fcell.2023.1308352.","journal-title":"Front Cell Dev Biol"},{"key":"4417_CR10","doi-asserted-by":"publisher","DOI":"10.3389\/fgene.2023.1193944","volume":"14","author":"Z Wang","year":"2023","unstructured":"Wang Z, Du X, Lian W, Chen J, Hong C, Li L, et al. A novel disulfidptosis-associated expression pattern in breast cancer based on machine learning. Front Genet. 2023;14:1193944. https:\/\/doi.org\/10.3389\/fgene.2023.1193944.","journal-title":"Front Genet"},{"key":"4417_CR11","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-023-39563-y","volume":"13","author":"G Hu","year":"2023","unstructured":"Hu G, Yao H, Wei Z, Li L, Yu Z, Li J, et al. A bioinformatics approach to identify a disulfidptosis-related gene signature for prognostic implication in colon adenocarcinoma. Sci Rep. 2023;13:12403. https:\/\/doi.org\/10.1038\/s41598-023-39563-y.","journal-title":"Sci Rep"},{"key":"4417_CR12","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.1001453","volume":"10","author":"L Marisa","year":"2013","unstructured":"Marisa L, De Reyni\u00e8s A, Duval A, Selves J, Gaub MP, Vescovo L, et al. Gene expression classification of colon cancer into molecular subtypes: characterization, validation, and prognostic value. PLoS Med. 2013;10:e1001453. https:\/\/doi.org\/10.1371\/journal.pmed.1001453.","journal-title":"PLoS Med"},{"key":"4417_CR13","doi-asserted-by":"publisher","first-page":"958","DOI":"10.1053\/j.gastro.2009.11.005","volume":"138","author":"JJ Smith","year":"2010","unstructured":"Smith JJ, Deane NG, Wu F, Merchant NB, Zhang B, Jiang A, et al. Experimentally derived metastasis gene expression profile predicts recurrence and death in patients with colon cancer. Gastroenterology. 2010;138:958\u201368. https:\/\/doi.org\/10.1053\/j.gastro.2009.11.005.","journal-title":"Gastroenterology"},{"key":"4417_CR14","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1016\/j.cell.2018.03.042","volume":"173","author":"C Hutter","year":"2018","unstructured":"Hutter C, Zenklusen JC. The Cancer Genome Atlas: creating lasting value beyond its data. Cell. 2018;173:283\u20135. https:\/\/doi.org\/10.1016\/j.cell.2018.03.042.","journal-title":"Cell"},{"key":"4417_CR15","doi-asserted-by":"publisher","first-page":"882","DOI":"10.1093\/bioinformatics\/bts034","volume":"28","author":"JT Leek","year":"2012","unstructured":"Leek JT, Johnson WE, Parker HS, Jaffe AE, Storey JD. The sva package for removing batch effects and other unwanted variation in high-throughput experiments. Bioinformatics. 2012;28:882\u20133. https:\/\/doi.org\/10.1093\/bioinformatics\/bts034.","journal-title":"Bioinformatics"},{"key":"4417_CR16","doi-asserted-by":"publisher","first-page":"e47","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:e47. https:\/\/doi.org\/10.1093\/nar\/gkv007.","journal-title":"Nucleic Acids Res"},{"key":"4417_CR17","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1038\/s41586-020-1943-3","volume":"578","author":"LB Alexandrov","year":"2020","unstructured":"Alexandrov LB, Kim J, Haradhvala NJ, Huang MN, Tian Ng AW, Wu Y, et al. The repertoire of mutational signatures in human cancer. Nature. 2020;578:94\u2013101. https:\/\/doi.org\/10.1038\/s41586-020-1943-3.","journal-title":"Nature"},{"key":"4417_CR18","doi-asserted-by":"publisher","first-page":"1747","DOI":"10.1101\/gr.239244.118","volume":"28","author":"A Mayakonda","year":"2018","unstructured":"Mayakonda A, Lin D-C, Assenov Y, Plass C, Koeffler HP. Maftools: efficient and comprehensive analysis of somatic variants in cancer. Genome Res. 2018;28:1747\u201356. https:\/\/doi.org\/10.1101\/gr.239244.118.","journal-title":"Genome Res"},{"key":"4417_CR19","doi-asserted-by":"publisher","unstructured":"Kassambara A, Kosinski M, Biecek P. survminer: drawing survival curves using ggplot2. R package. https:\/\/doi.org\/10.32614\/CRAN.package.survminer","DOI":"10.32614\/CRAN.package.survminer"},{"key":"4417_CR20","doi-asserted-by":"publisher","first-page":"1572","DOI":"10.1093\/bioinformatics\/btq170","volume":"26","author":"MD Wilkerson","year":"2010","unstructured":"Wilkerson MD, Hayes DN. ConsensusClusterPlus: a class discovery tool with confidence assessments and item tracking. Bioinformatics. 2010;26:1572\u20133. https:\/\/doi.org\/10.1093\/bioinformatics\/btq170.","journal-title":"Bioinformatics"},{"key":"4417_CR21","doi-asserted-by":"publisher","DOI":"10.21105\/joss.00861","volume":"3","author":"L McInnes","year":"2018","unstructured":"McInnes L, Healy J, Saul N, Gro\u00dfberger L. UMAP: uniform manifold approximation and projection. J Open Source Softw. 2018;3:861. https:\/\/doi.org\/10.21105\/joss.00861.","journal-title":"J Open Source Softw"},{"key":"4417_CR22","doi-asserted-by":"publisher","unstructured":"Krijthe J. Rtsne: T-distributed stochastic neighbor embedding using a Barnes-Hut implementation. R package. 2014.https:\/\/doi.org\/10.32614\/CRAN.package.Rtsne","DOI":"10.32614\/CRAN.package.Rtsne"},{"key":"4417_CR23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24277-4","volume-title":"Ggplot2","author":"H Wickham","year":"2016","unstructured":"Wickham H. Ggplot2. Cham: Springer International Publishing; 2016. https:\/\/doi.org\/10.1007\/978-3-319-24277-4."},{"key":"4417_CR24","doi-asserted-by":"publisher","unstructured":"Kolde R. pheatmap: Pretty Heatmaps. R package version 1.0.13. 2025.https:\/\/doi.org\/10.32614\/CRAN.package.pheatmap","DOI":"10.32614\/CRAN.package.pheatmap"},{"key":"4417_CR25","doi-asserted-by":"publisher","unstructured":"Morgan M, Falcon S, Gentleman R, Villafuerte P. GSEABase: gene set enrichment data structures and methods. Bioconductor package. https:\/\/doi.org\/10.18129\/B9.bioc.GSEABase.","DOI":"10.18129\/B9.bioc.GSEABase"},{"key":"4417_CR26","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-14-7","volume":"14","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;14:7. https:\/\/doi.org\/10.1186\/1471-2105-14-7.","journal-title":"BMC Bioinformatics"},{"key":"4417_CR27","doi-asserted-by":"publisher","first-page":"453","DOI":"10.1038\/nmeth.3337","volume":"12","author":"AM Newman","year":"2015","unstructured":"Newman AM, Liu CL, Green MR, Gentles AJ, Feng W, Xu Y, et al. Robust enumeration of cell subsets from tissue expression profiles. Nat Methods. 2015;12:453\u20137. https:\/\/doi.org\/10.1038\/nmeth.3337.","journal-title":"Nat Methods"},{"key":"4417_CR28","doi-asserted-by":"publisher","unstructured":"Mayakonda A. maftools: summarize, analyze and visualize MAF files. Bioconductor package, release 3.19. https:\/\/doi.org\/10.18129\/B9.bioc.maftools.","DOI":"10.18129\/B9.bioc.maftools"},{"key":"4417_CR29","doi-asserted-by":"publisher","first-page":"1550","DOI":"10.1038\/s41591-018-0136-1","volume":"24","author":"P Jiang","year":"2018","unstructured":"Jiang P, Gu S, Pan D, Fu J, Sahu A, Hu X, et al. Signatures of T cell dysfunction and exclusion predict cancer immunotherapy response. Nat Med. 2018;24:1550\u20138. https:\/\/doi.org\/10.1038\/s41591-018-0136-1.","journal-title":"Nat Med"},{"key":"4417_CR30","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0107468","volume":"9","author":"P Geeleher","year":"2014","unstructured":"Geeleher P, Cox N, Huang RS. PRRophetic: an R package for prediction of clinical chemotherapeutic response from tumor gene expression levels. PLoS ONE. 2014;9:e107468. https:\/\/doi.org\/10.1371\/journal.pone.0107468.","journal-title":"PLoS ONE"},{"key":"4417_CR31","doi-asserted-by":"publisher","first-page":"7060","DOI":"10.18632\/aging.205742","volume":"16","author":"Q Xu","year":"2024","unstructured":"Xu Q, Yu Z, Mei Q, Shi K, Shen J, Gao G, et al. Keratin 6A (KRT6A) promotes radioresistance, invasion, and metastasis in lung cancer via p53 signaling pathway. Aging (Albany NY). 2024;16:7060\u201372. https:\/\/doi.org\/10.18632\/aging.205742.","journal-title":"Aging (Albany NY)"},{"key":"4417_CR32","doi-asserted-by":"publisher","DOI":"10.3389\/fcell.2021.694071","volume":"9","author":"D Che","year":"2021","unstructured":"Che D, Wang M, Sun J, Li B, Xu T, Lu Y, et al. KRT6A promotes lung cancer cell growth and invasion through MYC-regulated pentose phosphate pathway. Front Cell Dev Biol. 2021;9:694071. https:\/\/doi.org\/10.3389\/fcell.2021.694071.","journal-title":"Front Cell Dev Biol"},{"key":"4417_CR33","doi-asserted-by":"publisher","first-page":"1479","DOI":"10.1080\/15384101.2022.2054095","volume":"21","author":"Y Chen","year":"2022","unstructured":"Chen Y, Ji S, Ying J, Sun Y, Liu J, Yin G. KRT6A expedites bladder cancer progression, regulated by miR-31-5p. Cell Cycle. 2022;21:1479\u201390. https:\/\/doi.org\/10.1080\/15384101.2022.2054095.","journal-title":"Cell Cycle"},{"key":"4417_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.labinv.2024.102075","volume":"104","author":"S Harada-Kagitani","year":"2024","unstructured":"Harada-Kagitani S, Kouchi Y, Shinomiya Y, Kodama M, Ohira G, Matsubara H, et al. Keratin 6A is expressed at the invasive front and enhances the progression of colorectal cancer. Lab Invest. 2024;104:102075. https:\/\/doi.org\/10.1016\/j.labinv.2024.102075.","journal-title":"Lab Invest"},{"key":"4417_CR35","doi-asserted-by":"publisher","first-page":"4244","DOI":"10.1111\/cas.15567","volume":"113","author":"B Ma","year":"2022","unstructured":"Ma B, Ueda H, Okamoto K, Bando M, Fujimoto S, Okada Y, et al. TIMP1 promotes cell proliferation and invasion capability of right-sided colon cancers via the FAK\/Akt signaling pathway. Cancer Sci. 2022;113:4244\u201357. https:\/\/doi.org\/10.1111\/cas.15567.","journal-title":"Cancer Sci"},{"key":"4417_CR36","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1016\/j.tcb.2018.08.006","volume":"29","author":"B Gr\u00fcnwald","year":"2019","unstructured":"Gr\u00fcnwald B, Schoeps B, Kr\u00fcger A. Recognizing the molecular multifunctionality and interactome of TIMP-1. Trends Cell Biol. 2019;29:6\u201319. https:\/\/doi.org\/10.1016\/j.tcb.2018.08.006.","journal-title":"Trends Cell Biol"},{"key":"4417_CR37","doi-asserted-by":"publisher","DOI":"10.1016\/j.prp.2023.154374","volume":"243","author":"J Du","year":"2023","unstructured":"Du J, Chen Y, Liu G, Zeng Q, Zhou N, Du D. Comprehensive pan-cancer analysis of role of GPRASP1, associated with clinical outcomes, immune microenvironment, and immunotherapeutic efficiency in pancreatic cancer. Pathol Res Pract. 2023;243:154374. https:\/\/doi.org\/10.1016\/j.prp.2023.154374.","journal-title":"Pathol Res Pract"},{"key":"4417_CR38","doi-asserted-by":"publisher","DOI":"10.1038\/s41419-022-05198-6","volume":"13","author":"Z Liu","year":"2022","unstructured":"Liu Z, Meng D, Wang J, Cao H, Feng P, Wu S, et al. GASP1 enhances malignant phenotypes of breast cancer cells and decreases their response to paclitaxel by forming a vicious cycle with IGF1\/IGF1R signaling pathway. Cell Death Dis. 2022;13:751. https:\/\/doi.org\/10.1038\/s41419-022-05198-6.","journal-title":"Cell Death Dis"},{"key":"4417_CR39","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1111\/jop.13376","volume":"52","author":"T Zhang","year":"2023","unstructured":"Zhang T, Liu G, Zhang J, Chen S, Deng Z, Xie M. GPRASP1 is a candidate anti-oncogene and correlates with immune microenvironment and immunotherapeutic efficiency in head and neck cancer. J Oral Pathol Med. 2023;52:232\u201344. https:\/\/doi.org\/10.1111\/jop.13376.","journal-title":"J Oral Pathol Med"},{"key":"4417_CR40","doi-asserted-by":"publisher","first-page":"449","DOI":"10.1373\/clinchem.2015.241513","volume":"62","author":"K R\u00e4s\u00e4nen","year":"2016","unstructured":"R\u00e4s\u00e4nen K, Itkonen O, Koistinen H, Stenman U-H. Emerging roles of SPINK1 in cancer. Clin Chem. 2016;62:449\u201357. https:\/\/doi.org\/10.1373\/clinchem.2015.241513.","journal-title":"Clin Chem"},{"key":"4417_CR41","doi-asserted-by":"publisher","first-page":"3814","DOI":"10.3390\/ijms22083814","volume":"22","author":"T-C Lin","year":"2021","unstructured":"Lin T-C. Functional roles of SPINK1 in cancers. Int J Mol Sci. 2021;22:3814. https:\/\/doi.org\/10.3390\/ijms22083814.","journal-title":"Int J Mol Sci"},{"key":"4417_CR42","doi-asserted-by":"publisher","first-page":"974","DOI":"10.1136\/jclinpath-2016-203638","volume":"69","author":"Y-T Chen","year":"2016","unstructured":"Chen Y-T, Tsao S-C, Tsai H-P, Wang J-Y, Chai C-Y. Serine protease inhibitor Kazal type 1 (SPINK1) as a prognostic marker in stage IV colon cancer patients receiving cetuximab-based targeted therapy. J Clin Pathol. 2016;69:974\u20138. https:\/\/doi.org\/10.1136\/jclinpath-2016-203638.","journal-title":"J Clin Pathol"},{"key":"4417_CR43","doi-asserted-by":"publisher","first-page":"e162","DOI":"10.1038\/oncsis.2015.23","volume":"4","author":"R Tiwari","year":"2015","unstructured":"Tiwari R, Pandey SK, Goel S, Bhatia V, Shukla S, Jing X, et al. SPINK1 promotes colorectal cancer progression by downregulating metallothioneins expression. Oncogenesis. 2015;4:e162. https:\/\/doi.org\/10.1038\/oncsis.2015.23.","journal-title":"Oncogenesis"},{"key":"4417_CR44","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2024.1409149","volume":"15","author":"R Yang","year":"2024","unstructured":"Yang R, Lai C, Huang L, Li F, Peng W, Wu M, et al. Role of disulfidptosis in colorectal adenocarcinoma: implications for prognosis and immunity. Front Immunol. 2024;15:1409149. https:\/\/doi.org\/10.3389\/fimmu.2024.1409149.","journal-title":"Front Immunol"},{"key":"4417_CR45","doi-asserted-by":"publisher","DOI":"10.1186\/s12935-025-03855-2","volume":"25","author":"Y Song","year":"2025","unstructured":"Song Y, Zhu H, Wei J, Yin S. Prognostic and therapeutic potential of disulfidptosis-related genes in colon adenocarcinoma: a comprehensive multi-omics study. Cancer Cell Int. 2025;25:226. https:\/\/doi.org\/10.1186\/s12935-025-03855-2.","journal-title":"Cancer Cell Int"},{"key":"4417_CR46","doi-asserted-by":"publisher","DOI":"10.1007\/s12672-025-02055-8","volume":"16","author":"L Shi","year":"2025","unstructured":"Shi L, Wang H, Sun Y, Xu N, Pei A, Zhang N. Development and validation of a disulfidptosis-related prognostic model for colorectal cancer using multi-omics analysis. Discov Oncol. 2025;16:338. https:\/\/doi.org\/10.1007\/s12672-025-02055-8.","journal-title":"Discov Oncol"}],"container-title":["Cancer Cell International"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12935-026-04417-w","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12935-026-04417-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12935-026-04417-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T16:06:05Z","timestamp":1791821165000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1186\/s12935-026-04417-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,16]]},"references-count":46,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["4417"],"URL":"https:\/\/doi.org\/10.1186\/s12935-026-04417-w","relation":{},"ISSN":["1475-2867"],"issn-type":[{"value":"1475-2867","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,16]]},"assertion":[{"value":"10 October 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 July 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 July 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"This study was reviewed and approved by the Ethics Committee of Dongguan Songshan Lake Central Hospital (Approval No. Dong Song Yi Lun Shen 2023 No. 5) on April 19, 2023. Informed Consent: all patients provided signed consent forms. Registry and the Registration No. of the study\/trial: N\/A. Animal Studies: N\/A.","order":1,"name":"Ethics","label":"Ethics approval and consent to participate","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","label":"Competing interests","group":{"name":"EthicsHeading","label":"Declarations"}}],"article-number":"336"}}