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Additionally, an integrated analysis of bulk (GSE124310) and single-cell transcriptomic datasets (GSE6477, TCGA-MM data, GSE4581, GSE24080,and GSE136337) was performed to identify platelet-related prognostic genes (PRGs).\u00a0Through single-cell RNA sequencing, we identified aberrant erythroid-megakaryocyte components in multiple myeloma and further demonstrated dysfunctional platelet activity that promotes tumor cell proliferation and suppresses apoptosis. Using comprehensive bioinformatic screening across 116 algorithms, we identified a combined forward stepwise Cox and Ridge regression model as optimal and established a 13-gene platelet-related prognostic signature. The genetic risk model effectively stratified MM patients into distinct prognostic groups, with high-risk patients exhibiting poorer outcomes in both training and validation cohorts. Finally, we integrated the genetic risk model and clinically relevant information and visualized it with dynamic Nomogram plots, and the ROC and DCA curves demonstrated that the integrated model had better predictive ability.\u00a0Our study establishes a significant association between platelet activity and disease progression in MM. The platelet-related prognostic signature we developed is correlated with patient outcomes and may have utility in risk stratification.<\/jats:p>","DOI":"10.1007\/s00277-026-06867-8","type":"journal-article","created":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T06:45:46Z","timestamp":1772261146000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Multi-Omics and machine learning platelet-related prognostic signature in multiple myeloma"],"prefix":"10.1007","volume":"105","author":[{"given":"Xiaojing","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qirong","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kuangfei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaobin","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu-an","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Peng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nainong","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hai","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ping","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,2,28]]},"reference":[{"issue":"9","key":"6867_CR1","doi-asserted-by":"publisher","first-page":"1802","DOI":"10.1002\/ajh.27422","volume":"99","author":"SV Rajkumar","year":"2024","unstructured":"Rajkumar SV (2024) Multiple myeloma: 2024 update on diagnosis, risk-stratification, and management. 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