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This network is shaped by cell\u2010intrinsic regulatory layers\u2014transcriptional programs, histone lactylation and other posttranslational modifications, and m\n                    <jats:sup>6<\/jats:sup>\n                    A RNA modification\u2014and by metabolic crosstalk with tumor\u2010associated macrophages (TAMs) and cancer\u2010associated fibroblasts (CAFs) that drives immune evasion and drug resistance. How these diverse inputs converge remains undefined: no integrated framework connects regulatory layers to signaling networks such as PI3K\u2013AKT\u2013mTOR, HIF\u20101\u03b1, and cGAS\u2013STING, or explains how their convergence generates metabolic plasticity. This review organizes tumor metabolic reprogramming into functional modules centered on three convergence hubs: the SREBP1\/2\u2013FASN\u2013SCD1 lipogenic axis, the HIF\u20101\u03b1\u2013GLUT1\u2013LDHA glycolytic axis, and the LDLR\u2013SCARB1\u2013LXR cholesterol homeostasis system. The discussion traces how multilayered regulation sustains each hub, how metabolic competition between tumor cells and immune effectors creates immunometabolic checkpoints, and how compensatory rewiring undermines single\u2010agent inhibitors. Therapeutic strategies span rational combination regimens that preempt compensatory rewiring to nanomedicine platforms enabling spatially controlled metabolism\u2013immunity reprogramming. By identifying the hubs upon which diverse oncogenic signals converge, this framework reveals context\u2010specific metabolic vulnerabilities and outlines priorities for biomarker\u2010driven patient stratification and hub\u2010targeted combination therapy.\n                  <\/jats:p>","DOI":"10.1002\/mco2.70928","type":"journal-article","created":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T07:13:38Z","timestamp":1787728418000},"source":"Crossref","is-referenced-by-count":0,"title":["Metabolism in Tumor: Mechanisms and Therapeutic Perspectives"],"prefix":"10.1002","volume":"7","author":[{"given":"Jia\u2010Chen","family":"Cheng","sequence":"first","affiliation":[{"name":"Department of Obstetrics and Gynecology, Department of Gynecologic Oncology Research Office; Guangzhou Key Laboratory of Targeted Therapy for Gynecologic Oncology; Guangdong Provincial Key Laboratory of Major Obstetric Diseases; Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology; Guangdong\u2010Hong Kong\u2010Macao Greater Bay Area Higher Education Joint Laboratory of Maternal\u2010Fetal Medicine; 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Guangdong Provincial Key Laboratory of Major Obstetric Diseases; Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology; Guangdong\u2010Hong Kong\u2010Macao Greater Bay Area Higher Education Joint Laboratory of Maternal\u2010Fetal Medicine; The Third Affiliated Hospital Guangzhou Medical University  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shan","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology, Department of Gynecologic Oncology Research Office; Guangzhou Key Laboratory of Targeted Therapy for Gynecologic Oncology; Guangdong Provincial Key Laboratory of Major Obstetric Diseases; Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology; Guangdong\u2010Hong Kong\u2010Macao Greater Bay Area Higher Education Joint Laboratory of Maternal\u2010Fetal Medicine; The Third Affiliated Hospital Guangzhou Medical University  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie\u2010Lin","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology, Department of Gynecologic Oncology Research Office; 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