{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T16:54:27Z","timestamp":1785430467613,"version":"3.56.0"},"reference-count":37,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T00:00:00Z","timestamp":1776816000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["82474238"],"award-info":[{"award-number":["82474238"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"award":["82474238"],"award-info":[{"award-number":["82474238"]}],"id":[{"id":"https:\/\/ror.org\/01h0zpd94","id-type":"ROR","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010618","name":"Guangzhou University of Chinese Medicine","doi-asserted-by":"crossref","award":["GZY2025GB0108"],"award-info":[{"award-number":["GZY2025GB0108"]}],"id":[{"id":"10.13039\/501100010618","id-type":"DOI","asserted-by":"crossref"}]},{"award":["GZY2025GB0108"],"award-info":[{"award-number":["GZY2025GB0108"]}],"id":[{"id":"https:\/\/ror.org\/03qb7bg95","id-type":"ROR","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJMS"],"abstract":"<jats:p>The bone marrow tumor microenvironment (TME) is critical for acute myeloid leukemia (AML) progression, immune evasion, and treatment resistance. SRC, a non-receptor tyrosine kinase involved in multiple oncogenic pathways, has not been systematically characterized in AML in relation to prognosis and immune regulation. We integrated bulk transcriptomic and single-cell RNA-sequencing datasets from TCGA, BeatAML, and GEO. Immune-related targets were identified using xCell-based immune scoring and weighted gene co-expression network analysis (WGCNA), followed by protein\u2013protein interaction analysis and multi-algorithm machine-learning screening. We then evaluated SRC expression patterns, prognostic associations, immune microenvironment features, predicted drug sensitivity, single-cell differentiation dynamics, intercellular communication, and in silico virtual knockout perturbation (scTenifoldKnk). SRC emerged as the most robust hub gene after integration of WGCNA, PPI analysis, machine-learning feature selection, and survival screening. SRC was significantly upregulated in AML compared with normal controls and was independently associated with poor overall survival (HR = 1.231, p = 0.037). High SRC expression was linked to adverse ELN\/FAB features, increased immune checkpoint expression, enrichment of inflammatory and immunoregulatory pathways, and a higher proportion of primitive leukemia-associated cell states. Single-cell analyses further suggested that SRC was enriched in CD34+ progenitor compartments, associated with altered cell\u2013cell communication, and accompanied by distinct mutation and pathway profiles. Drug-response prediction and in silico network perturbation analysis further supported the potential biological and translational relevance of SRC-centered programs. SRC is a prognostically relevant and immune-associated hub linked to AML microenvironment remodeling, and may serve as a candidate biomarker and potential therapeutic target that warrants further experimental validation.<\/jats:p>","DOI":"10.3390\/ijms27093734","type":"journal-article","created":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T14:29:03Z","timestamp":1776868143000},"page":"3734","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["SRC as a Prognostic and Immunomodulatory Biomarker in Acute Myeloid Leukemia: A Multi-Omics Study"],"prefix":"10.3390","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-7808-6842","authenticated-orcid":false,"given":"Jirui","family":"Zhong","sequence":"first","affiliation":[{"name":"The First Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou 510405, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xikun","family":"Liu","sequence":"additional","affiliation":[{"name":"The First Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou 510405, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuekui","family":"Gu","sequence":"additional","affiliation":[{"name":"The First Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou 510405, China"},{"name":"Department of Hematology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510405, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zenghui","family":"Liu","sequence":"additional","affiliation":[{"name":"The First Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou 510405, China"},{"name":"Department of Hematology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510405, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,4,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1136","DOI":"10.1056\/NEJMra1406184","article-title":"Acute Myeloid Leukemia","volume":"373","author":"Weisdorf","year":"2015","journal-title":"N. 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