{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T21:12:59Z","timestamp":1783545179021,"version":"3.55.0"},"reference-count":56,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T00:00:00Z","timestamp":1770249600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T00:00:00Z","timestamp":1773014400000},"content-version":"vor","delay-in-days":32,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"name":"Peking University Medicine Sailing Program for Young Scholars\u2019 Scientific & Technological Innovation","award":["BMU2025YFJHPY019"],"award-info":[{"award-number":["BMU2025YFJHPY019"]}]},{"name":"Beijing Natural Science Foundation","award":["7244427"],"award-info":[{"award-number":["7244427"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["82372629"],"award-info":[{"award-number":["82372629"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"National Key Research and Development Program of China","award":["2024YFC3405700"],"award-info":[{"award-number":["2024YFC3405700"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Lipids Health Dis"],"DOI":"10.1186\/s12944-026-02883-9","type":"journal-article","created":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T10:35:54Z","timestamp":1770287754000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Dietary restriction genes as modulators of breast cancer risk through metabolic pathways"],"prefix":"10.1186","volume":"25","author":[{"given":"Yiyin","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yingying","family":"Dai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuqiu","family":"Shen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaiyuan","family":"Mao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiyu","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ke","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Evelyne","family":"Bischof","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yifan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,2,5]]},"reference":[{"key":"2883_CR1","first-page":"229","volume":"74","author":"F Bray","year":"2024","unstructured":"Bray F, Laversanne M, Sung H, Ferlay J, Siegel RL, Soerjomataram I, et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2024;74:229\u201363.","journal-title":"CA Cancer J Clin"},{"key":"2883_CR2","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1515\/jtim-2025-0002","volume":"13","author":"XQ Hu","year":"2025","unstructured":"Hu XQ, Zhang G, Zhao L, Huang H, Wang C. Deciphering peripheral neuroimmune crosstalk for translational therapeutics. J Transl Int Med. 2025;13:4\u20136.","journal-title":"J Transl Int Med"},{"key":"2883_CR3","doi-asserted-by":"publisher","first-page":"540","DOI":"10.1515\/jtim-2024-0038","volume":"12","author":"Y Zou","year":"2024","unstructured":"Zou Y, Zhang H, Liu F, Chen ZS, Tang H. Intratumoral microbiota in orchestrating cancer immunotherapy response. J Transl Int Med. 2024;12:540\u20132.","journal-title":"J Transl Int Med"},{"key":"2883_CR4","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1186\/s13045-022-01236-0","volume":"15","author":"SQ Liu","year":"2022","unstructured":"Liu SQ, Gao ZJ, Wu J, Zheng HM, Li B, Sun S, et al. Single-cell and spatially resolved analysis uncovers cell heterogeneity of breast cancer. J Hematol Oncol. 2022;15:19.","journal-title":"J Hematol Oncol"},{"key":"2883_CR5","doi-asserted-by":"publisher","first-page":"1708","DOI":"10.1016\/j.cell.2023.01.040","volume":"186","author":"E Nolan","year":"2023","unstructured":"Nolan E, Lindeman GJ, Visvader JE. Deciphering breast cancer: from biology to the clinic. Cell. 2023;186:1708\u201328.","journal-title":"Cell"},{"key":"2883_CR6","doi-asserted-by":"publisher","first-page":"784","DOI":"10.1084\/jem.20201606","volume":"218","author":"X Bian","year":"2021","unstructured":"Bian X, Liu R, Meng Y, Xing D, Xu D, Lu Z. Lipid metabolism and cancer. J Exp Med. 2021;218:784.","journal-title":"J Exp Med"},{"key":"2883_CR7","doi-asserted-by":"publisher","first-page":"350","DOI":"10.1038\/s41574-021-00487-0","volume":"17","author":"KA Brown","year":"2021","unstructured":"Brown KA. Metabolic pathways in obesity-related breast cancer. Nat Rev Endocrinol. 2021;17:350\u201363.","journal-title":"Nat Rev Endocrinol"},{"key":"2883_CR8","doi-asserted-by":"publisher","first-page":"3147","DOI":"10.1002\/cncr.35318","volume":"130","author":"RT Chlebowski","year":"2024","unstructured":"Chlebowski RT, Aragaki AK, Pan K, Simon MS, Neuhouser ML, Haque R, et al. Breast cancer incidence and mortality by metabolic syndrome and obesity: the women\u2019s health initiative. Cancer. 2024;130:3147\u201356.","journal-title":"Cancer"},{"key":"2883_CR9","doi-asserted-by":"publisher","first-page":"e1003302","DOI":"10.1371\/journal.pmed.1003302","volume":"17","author":"KE Johnson","year":"2020","unstructured":"Johnson KE, Siewert KM, Klarin D, Damrauer SM, Chang KM, Tsao PS, et al. The relationship between Circulating lipids and breast cancer risk: a Mendelian randomization study. PLoS Med. 2020;17:e1003302.","journal-title":"PLoS Med"},{"key":"2883_CR10","doi-asserted-by":"publisher","first-page":"545","DOI":"10.1038\/s41574-020-0381-5","volume":"16","author":"F Magkos","year":"2020","unstructured":"Magkos F, Hjorth MF, Astrup A. Diet and exercise in the prevention and treatment of type 2 diabetes mellitus. Nat Rev Endocrinol. 2020;16:545\u201355.","journal-title":"Nat Rev Endocrinol"},{"key":"2883_CR11","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1038\/s41392-022-01104-w","volume":"7","author":"Q Wu","year":"2022","unstructured":"Wu Q, Gao ZJ, Yu X, Wang P. Dietary regulation in health and disease. Signal Transduct Target Ther. 2022;7:252.","journal-title":"Signal Transduct Target Ther"},{"key":"2883_CR12","doi-asserted-by":"publisher","first-page":"767","DOI":"10.1016\/j.ccell.2020.04.005","volume":"37","author":"M Tajan","year":"2020","unstructured":"Tajan M, Vousden KH. Dietary approaches to cancer therapy. Cancer Cell. 2020;37:767\u201385.","journal-title":"Cancer Cell"},{"key":"2883_CR13","doi-asserted-by":"publisher","first-page":"4913","DOI":"10.1093\/eurheartj\/ehad736","volume":"44","author":"SC Larsson","year":"2023","unstructured":"Larsson SC, Butterworth AS, Burgess S. Mendelian randomization for cardiovascular diseases: principles and applications. Eur Heart J. 2023;44:4913\u201324.","journal-title":"Eur Heart J"},{"key":"2883_CR14","doi-asserted-by":"publisher","first-page":"105078","DOI":"10.1016\/j.ebiom.2024.105078","volume":"102","author":"X Song","year":"2024","unstructured":"Song X, Wei J, Li Y, Zhu W, Cai Z, Li K, et al. An integrative pan-cancer analysis of the molecular characteristics of dietary restriction in tumour microenvironment. EBioMedicine. 2024;102:105078.","journal-title":"EBioMedicine"},{"key":"2883_CR15","doi-asserted-by":"publisher","first-page":"543","DOI":"10.1007\/s10654-015-0011-z","volume":"30","author":"S Burgess","year":"2015","unstructured":"Burgess S, Scott RA, Timpson NJ, Smith GD, Thompson SG. Using published data in Mendelian randomization: a blueprint for efficient identification of causal risk factors. Eur J Epidemiol. 2015;30:543\u201352.","journal-title":"Eur J Epidemiol"},{"key":"2883_CR16","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1016\/j.jclinepi.2014.09.005","volume":"68","author":"JF Cohen","year":"2015","unstructured":"Cohen JF, Chalumeau M, Cohen R, Korevaar DA, Khoshnood B, Bossuyt PM. Cochran\u2019s Q test was useful to assess heterogeneity in likelihood ratios in studies of diagnostic accuracy. J Clin Epidemiol. 2015;68:299\u2013306.","journal-title":"J Clin Epidemiol"},{"key":"2883_CR17","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1007\/s10654-017-0255-x","volume":"32","author":"S Burgess","year":"2017","unstructured":"Burgess S, Thompson SG. Interpreting findings from Mendelian randomization using the MR-Egger method. Eur J Epidemiol. 2017;32:377\u201389.","journal-title":"Eur J Epidemiol"},{"key":"2883_CR18","doi-asserted-by":"publisher","first-page":"R195","DOI":"10.1093\/hmg\/ddy163","volume":"27","author":"G Hemani","year":"2018","unstructured":"Hemani G, Bowden J, Smith GD. Evaluating the potential role of Pleiotropy in Mendelian randomization studies. Hum Mol Genet. 2018;27:R195\u2013208.","journal-title":"Hum Mol Genet"},{"key":"2883_CR19","doi-asserted-by":"publisher","first-page":"D638","DOI":"10.1093\/nar\/gkac1000","volume":"51","author":"D Szklarczyk","year":"2023","unstructured":"Szklarczyk D, Kirsch R, Koutrouli M, Nastou K, Mehryary F, Hachilif R, et al. The STRING database in 2023: protein-protein association networks and functional enrichment analyses for any sequenced genome of interest. Nucleic Acids Res. 2023;51:D638\u2013646.","journal-title":"Nucleic Acids Res"},{"key":"2883_CR20","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1186\/s13059-019-1758-4","volume":"20","author":"D Otasek","year":"2019","unstructured":"Otasek D, Morris JH, Bou\u00e7as J, Pico AR, Demchak B. Cytoscape automation: empowering workflow-based network analysis. Genome Biol. 2019;20:185.","journal-title":"Genome Biol"},{"key":"2883_CR21","doi-asserted-by":"publisher","first-page":"3069","DOI":"10.1093\/bioinformatics\/btv313","volume":"31","author":"M Yoo","year":"2015","unstructured":"Yoo M, Shin J, Kim J, Ryall KA, Lee K, Lee S, et al. DSigDB: drug signatures database for gene set analysis. Bioinformatics. 2015;31:3069\u201371.","journal-title":"Bioinformatics"},{"key":"2883_CR22","doi-asserted-by":"crossref","unstructured":"Morris GM, Huey R, Olson AJ. Using AutoDock for ligand-receptor docking. Curr Protoc Bioinformatics. 2008; Chapter 8: Unit 8.14.","DOI":"10.1002\/0471250953.bi0814s24"},{"key":"2883_CR23","doi-asserted-by":"publisher","first-page":"D1388","DOI":"10.1093\/nar\/gkaa971","volume":"49","author":"S Kim","year":"2021","unstructured":"Kim S, Chen J, Cheng T, Gindulyte A, He J, He S, et al. PubChem in 2021: new data content and improved web interfaces. Nucleic Acids Res. 2021;49:D1388\u20131395.","journal-title":"Nucleic Acids Res"},{"key":"2883_CR24","doi-asserted-by":"publisher","first-page":"3765","DOI":"10.3390\/cancers12123765","volume":"12","author":"X Zhang","year":"2020","unstructured":"Zhang X, Powell K, Li L. Breast cancer stem cells: biomarkers, identification and isolation methods, regulating mechanisms, cellular origin, and beyond. Cancers. 2020;12:3765.","journal-title":"Cancers"},{"key":"2883_CR25","doi-asserted-by":"publisher","first-page":"760","DOI":"10.1210\/er.2018-00064","volume":"39","author":"N Bougarne","year":"2018","unstructured":"Bougarne N, Weyers B, Desmet SJ, Deckers J, Ray DW, Staels B, et al. Molecular actions of PPAR\u03b1 in lipid metabolism and inflammation. Endocr Rev. 2018;39:760\u2013802.","journal-title":"Endocr Rev"},{"key":"2883_CR26","doi-asserted-by":"publisher","first-page":"4975","DOI":"10.1073\/pnas.1721957115","volume":"115","author":"KI Takayama","year":"2018","unstructured":"Takayama KI, Suzuki T, Fujimura T, Takahashi S, Inoue S. COBLL1 modulates cell morphology and facilitates androgen receptor genomic binding in advanced prostate cancer. Proc Natl Acad Sci U S A. 2018;115:4975\u201380.","journal-title":"Proc Natl Acad Sci U S A"},{"key":"2883_CR27","doi-asserted-by":"publisher","first-page":"677","DOI":"10.1158\/1541-7786.MCR-11-0519","volume":"10","author":"MJ Tan","year":"2012","unstructured":"Tan MJ, Teo Z, Sng MK, Zhu P, Tan NS. Emerging roles of angiopoietin-like 4 in human cancer. Mol Cancer Res. 2012;10:677\u201388.","journal-title":"Mol Cancer Res"},{"key":"2883_CR28","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/S0378-1119(01)00423-1","volume":"268","author":"VI Kashuba","year":"2001","unstructured":"Kashuba VI, Kvasha SM, Protopopov AI, Gizatullin RZ, Rynditch AV, Wahlestedt C, et al. Initial isolation and analysis of the human Kv1.7 (KCNA7) gene, a member of the voltage-gated potassium channel gene family. Gene. 2001;268:115\u201322.","journal-title":"Gene"},{"key":"2883_CR29","doi-asserted-by":"publisher","first-page":"723","DOI":"10.1016\/j.physbeh.2009.01.011","volume":"96","author":"S Soenen","year":"2009","unstructured":"Soenen S, Mariman EC, Vogels N, Bouwman FG, den Hoed M, Brown L, et al. Relationship between perilipin gene polymorphisms and body weight and body composition during weight loss and weight maintenance. Physiol Behav. 2009;96:723\u20138.","journal-title":"Physiol Behav"},{"key":"2883_CR30","doi-asserted-by":"publisher","first-page":"721507","DOI":"10.3389\/fgene.2021.721507","volume":"12","author":"T Hy\u00f6tyl\u00e4inen","year":"2021","unstructured":"Hy\u00f6tyl\u00e4inen T, Bodin J, Duberg D, Dirven H, Nygaard UC, Ore\u0161i\u010d M. Lipidomic analyses reveal modulation of lipid metabolism by the PFAS perfluoroundecanoic acid (PFUnDA) in non-obese diabetic mice. Front Genet. 2021;12:721507.","journal-title":"Front Genet"},{"key":"2883_CR31","doi-asserted-by":"publisher","first-page":"16258","DOI":"10.1021\/acs.est.4c03053","volume":"58","author":"YJ He","year":"2024","unstructured":"He YJ, Liao H, Yang G, Qiu W, Xuan R, Zheng G, et al. Perfluorohexanesulfonic acid (PFHxS) impairs lipid homeostasis in zebrafish larvae through activation of PPAR\u03b1. Environ Sci Technol. 2024;58:16258\u201368.","journal-title":"Environ Sci Technol"},{"key":"2883_CR32","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1186\/1475-2840-11-140","volume":"11","author":"A Tenenbaum","year":"2012","unstructured":"Tenenbaum A, Fisman EZ. Balanced pan-PPAR activator Bezafibrate in combination with statin: comprehensive lipids control and diabetes prevention? Cardiovasc Diabetol. 2012;11:140.","journal-title":"Cardiovasc Diabetol"},{"key":"2883_CR33","doi-asserted-by":"publisher","first-page":"849","DOI":"10.1016\/S0022-3565(24)29202-8","volume":"299","author":"JM Rae","year":"2001","unstructured":"Rae JM, Johnson MD, Lippman ME, Flockhart DA. Rifampin is a selective, pleiotropic inducer of drug metabolism genes in human hepatocytes: studies with cDNA and oligonucleotide expression arrays. J Pharmacol Exp Ther. 2001;299:849\u201357.","journal-title":"J Pharmacol Exp Ther"},{"key":"2883_CR34","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1093\/ije\/dyac143","volume":"52","author":"Y Hao","year":"2023","unstructured":"Hao Y, Xiao J, Liang Y, Wu X, Zhang H, Xiao C, et al. Reassessing the causal role of obesity in breast cancer susceptibility: a comprehensive multivariable Mendelian randomization investigating the distribution and timing of exposure. Int J Epidemiol. 2023;52:58\u201370.","journal-title":"Int J Epidemiol"},{"key":"2883_CR35","doi-asserted-by":"publisher","first-page":"2294","DOI":"10.1038\/s41598-020-59056-6","volume":"10","author":"M His","year":"2020","unstructured":"His M, Biessy C, Torres-Mej\u00eda G, \u00c1ngeles-Llerenas A, Alvarado-Cabrero I, S\u00e1nchez GI, et al. Anthropometry, body shape in early-life and risk of premenopausal breast cancer among Latin American women: results from the PRECAMA study. Sci Rep. 2020;10:2294.","journal-title":"Sci Rep"},{"key":"2883_CR36","doi-asserted-by":"publisher","first-page":"900","DOI":"10.1093\/jnci\/djaa197","volume":"113","author":"SC Houghton","year":"2021","unstructured":"Houghton SC, Eliassen H, Tamimi RM, Willett WC, Rosner BA, Hankinson SE. Central adiposity and subsequent risk of breast cancer by menopause status. J Natl Cancer Inst. 2021;113:900\u20138.","journal-title":"J Natl Cancer Inst"},{"key":"2883_CR37","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1186\/s13058-017-0931-5","volume":"20","author":"H Ma","year":"2018","unstructured":"Ma H, Ursin G, Xu X, Lee E, Togawa K, Malone KE, et al. Body mass index at age 18 years and recent body mass index in relation to risk of breast cancer overall and ER\/PR\/HER2-defined subtypes in white women and African-American women: a pooled analysis. Breast Cancer Res. 2018;20:5.","journal-title":"Breast Cancer Res"},{"key":"2883_CR38","doi-asserted-by":"crossref","unstructured":"Martin LJ, Melnichouk O, Huszti E, Connelly PW, Greenberg CV, Minkin S, et al. Serum lipids, lipoproteins, and risk of breast cancer: a nested case-control study using multiple time points. J Natl Cancer Inst. 2015;107(5):djv032.","DOI":"10.1093\/jnci\/djv032"},{"key":"2883_CR39","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1001\/jamaoncol.2015.1546","volume":"1","author":"ML Neuhouser","year":"2015","unstructured":"Neuhouser ML, Aragaki AK, Prentice RL, Manson JE, Chlebowski R, Carty CL, et al. Overweight, Obesity, and postmenopausal invasive breast cancer risk: A secondary analysis of the women\u2019s health initiative randomized clinical trials. JAMA Oncol. 2015;1:611\u201321.","journal-title":"JAMA Oncol"},{"key":"2883_CR40","doi-asserted-by":"publisher","first-page":"e0142669","DOI":"10.1371\/journal.pone.0142669","volume":"10","author":"H Ni","year":"2015","unstructured":"Ni H, Liu H, Gao R. Serum lipids and breast cancer risk: A Meta-Analysis of prospective cohort studies. PLoS ONE. 2015;10:e0142669.","journal-title":"PLoS ONE"},{"key":"2883_CR41","doi-asserted-by":"publisher","first-page":"3957","DOI":"10.1038\/s41467-018-06467-9","volume":"9","author":"C Nowak","year":"2018","unstructured":"Nowak C, \u00c4rnl\u00f6v J. A Mendelian randomization study of the effects of blood lipids on breast cancer risk. Nat Commun. 2018;9:3957.","journal-title":"Nat Commun"},{"key":"2883_CR42","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1017\/S000711451500183X","volume":"114","author":"M Touvier","year":"2015","unstructured":"Touvier M, Fassier P, His M, Norat T, Chan DS, Blacher J, et al. Cholesterol and breast cancer risk: a systematic review and meta-analysis of prospective studies. Br J Nutr. 2015;114:347\u201357.","journal-title":"Br J Nutr"},{"key":"2883_CR43","doi-asserted-by":"publisher","first-page":"e245423","DOI":"10.1001\/jamanetworkopen.2024.5423","volume":"7","author":"TXM Tran","year":"2024","unstructured":"Tran TXM, Chang Y, Choi HR, Kwon R, Lim GY, Kim EY, et al. Adiposity, body composition Measures, and breast cancer risk in Korean premenopausal women. JAMA Netw Open. 2024;7:e245423.","journal-title":"JAMA Netw Open"},{"key":"2883_CR44","doi-asserted-by":"publisher","first-page":"1456","DOI":"10.1038\/s41388-021-02172-y","volume":"41","author":"L Avalle","year":"2022","unstructured":"Avalle L, Raggi L, Monteleone E, Savino A, Viavattene D, Statello L, et al. STAT3 induces breast cancer growth via ANGPTL4, MMP13 and STC1 secretion by cancer associated fibroblasts. Oncogene. 2022;41:1456\u201367.","journal-title":"Oncogene"},{"key":"2883_CR45","doi-asserted-by":"publisher","first-page":"5152","DOI":"10.1038\/s41467-024-48742-y","volume":"15","author":"SF Razavipour","year":"2024","unstructured":"Razavipour SF, Yoon H, Jang K, Kim M, Nawara HM, Bagheri A, et al. C-terminally phosphorylated p27 activates self-renewal driver genes to program cancer stem cell expansion, mammary hyperplasia and cancer. Nat Commun. 2024;15:5152.","journal-title":"Nat Commun"},{"key":"2883_CR46","doi-asserted-by":"publisher","first-page":"216988","DOI":"10.1016\/j.canlet.2024.216988","volume":"596","author":"Y Lv","year":"2024","unstructured":"Lv Y, Sun S, Zhang J, Wang C, Chen C, Zhang Q, et al. Loss of RBM45 inhibits breast cancer progression by reducing the sumoylation of IRF7 to promote IFNB1 transcription. Cancer Lett. 2024;596:216988.","journal-title":"Cancer Lett"},{"key":"2883_CR47","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1007\/s11684-023-1016-8","volume":"18","author":"H Wang","year":"2024","unstructured":"Wang H, Wang Z, Wang Z, Li X, Li Y, Yan N, et al. Decitabine induces IRF7-mediated immune responses in p53-mutated triple-negative breast cancer: a clinical and translational study. Front Med. 2024;18:357\u201374.","journal-title":"Front Med"},{"key":"2883_CR48","doi-asserted-by":"publisher","first-page":"2089","DOI":"10.1016\/j.celrep.2016.05.011","volume":"15","author":"Y Huo","year":"2016","unstructured":"Huo Y, Su T, Cai Q, Macara IG. An in vivo Gain-of-Function screen identifies the Williams-Beuren syndrome gene GTF2IRD1 as a mammary tumor promoter. Cell Rep. 2016;15:2089\u201396.","journal-title":"Cell Rep"},{"key":"2883_CR49","doi-asserted-by":"publisher","first-page":"313","DOI":"10.3324\/haematol.2017.178699","volume":"103","author":"H Ple\u0161ingerov\u00e1","year":"2018","unstructured":"Ple\u0161ingerov\u00e1 H, Janovsk\u00e1 P, Mishra A, Smy\u010dkov\u00e1 L, Poppov\u00e1 L, Libra A, et al. Expression of COBLL1 encoding novel ROR1 binding partner is robust predictor of survival in chronic lymphocytic leukemia. Haematologica. 2018;103:313\u201324.","journal-title":"Haematologica"},{"key":"2883_CR50","doi-asserted-by":"publisher","first-page":"lqae046","DOI":"10.1093\/nargab\/lqae046","volume":"6","author":"L Abar","year":"2024","unstructured":"Abar L, Zuber V, Otto GW, Tzoulaki I, Dehghan A. Unravelling genetic architecture of circulatory amino acid levels, and their effect on risk of complex disorders. NAR Genom Bioinform. 2024;6:lqae046.","journal-title":"NAR Genom Bioinform"},{"key":"2883_CR51","doi-asserted-by":"publisher","first-page":"106103","DOI":"10.1016\/j.jsbmb.2022.106103","volume":"221","author":"S Kosaka","year":"2022","unstructured":"Kosaka S, Miyashita M, McNamala K, Nomura M, Shima H, Kawai M, et al. Bird\u2019s eye view analysis of in situ cholesterol metabolic pathways in breast cancer patients and its clinicopathological significance in their subtypes. J Steroid Biochem Mol Biol. 2022;221:106103.","journal-title":"J Steroid Biochem Mol Biol"},{"key":"2883_CR52","doi-asserted-by":"publisher","first-page":"256","DOI":"10.1007\/s12032-022-01861-2","volume":"39","author":"U Yousuf","year":"2022","unstructured":"Yousuf U, Sofi S, Makhdoomi A, Mir MA. Identification and analysis of dysregulated fatty acid metabolism genes in breast cancer subtypes. Med Oncol. 2022;39:256.","journal-title":"Med Oncol"},{"key":"2883_CR53","doi-asserted-by":"publisher","first-page":"769","DOI":"10.33594\/000000054","volume":"52","author":"G La","year":"2019","unstructured":"La G, Zhou M, Lim JY, Oh S, Xing H, Liu N, et al. Proteomics and transcriptomics analysis reveals clues into the mechanism of the beneficial effect of electrical stimulation on rat denervated gastrocnemius muscle. Cell Physiol Biochem. 2019;52:769\u201386.","journal-title":"Cell Physiol Biochem"},{"key":"2883_CR54","doi-asserted-by":"crossref","unstructured":"Chen Y, Xu W, Zhang W, Tong R, Yuan A, Li Z, et al. Plasma metabolic fingerprints for large-scale screening and personalized risk stratification of metabolic syndrome. Cell Rep Med. 2023;4(7):101109.","DOI":"10.1016\/j.xcrm.2023.101109"},{"key":"2883_CR55","doi-asserted-by":"crossref","unstructured":"Xiao Y, Yu B, Chao C, Wang S, Hu D, Wu C, et al. Chinese expert consensus on blood lipid management in patients with diabetes (2024 edition). J Transl Int Med. 2024;12(4):325-343.","DOI":"10.2478\/jtim-2024-0014"},{"key":"2883_CR56","doi-asserted-by":"crossref","unstructured":"Xue T, Yeung CLS, Mao X, Tey SK, Lo KW, Tang AHN, et al. Development of a broadly potent neutralizing antibody targeting Nidogen 1 effectively inhibits cancer growth and metastasis in preclinical tumor models. J Transl Int Med. 2025;13(1):78-92.","DOI":"10.1515\/jtim-2025-0008"}],"container-title":["Lipids in Health and Disease"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12944-026-02883-9","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12944-026-02883-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12944-026-02883-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T14:03:46Z","timestamp":1773065026000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1186\/s12944-026-02883-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2,5]]},"references-count":56,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["2883"],"URL":"https:\/\/doi.org\/10.1186\/s12944-026-02883-9","relation":{},"ISSN":["1476-511X"],"issn-type":[{"value":"1476-511X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2,5]]},"assertion":[{"value":"18 May 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 January 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 February 2026","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 competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"75"}}