What does this research mean for the field?

A 13-gene platelet-related prognostic signature effectively stratifies multiple myeloma patients into distinct prognostic groups, correlating with patient outcomes. Novelty: ClaimNovelty.NOVEL_FINDING. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The aim is to evaluate platelet function in multiple myeloma and determine the prognostic value of platelet-related genes.

March 4, 2026Annals of HematologyOpen Access

A Multi-Omics and machine learning platelet-related prognostic signature in multiple myeloma

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Authors

XLX LiFujian Medical University QXQirong XiaoFujian Medical University KWKuangfei Wang

Discussion

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Implication

Identifies a platelet-related prognostic signature in multiple myeloma, suggesting its potential for improving risk stratification.

Key Points

The aim is to evaluate platelet function in multiple myeloma and determine the prognostic value of platelet-related genes.
Combined clinical assessment of platelet activation and co-culture experiments with MM cell lines.
Analyzed bulk and single-cell transcriptomic datasets to identify platelet-related prognostic genes.
Used single-cell RNA sequencing to investigate aberrant erythroid-megakaryocyte components.
Developed a 13-gene platelet-related prognostic signature using Cox and Ridge regression models.
Validated the prognostic model with training and validation cohorts.
Identified dysfunctional platelet activity that promotes tumor cell proliferation and suppresses apoptosis.
Stratified MM patients into distinct prognostic groups with high-risk patients having poorer outcomes.
Demonstrated improved predictive ability using the integrated genetic risk model and clinical information.

Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/69a7cc4cd48f933b5eed7e79 https://doi.org/10.1007/s00277-026-06867-8

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March 4, 2026Annals of HematologyOpen Access

A Multi-Omics and machine learning platelet-related prognostic signature in multiple myeloma

View Full Paper

Ask AI

Bookmark

Authors

XLX LiFujian Medical University QXQirong XiaoFujian Medical University KWKuangfei Wang

Discussion

Member takes

Implication

Identifies a platelet-related prognostic signature in multiple myeloma, suggesting its potential for improving risk stratification.

Key Points

The aim is to evaluate platelet function in multiple myeloma and determine the prognostic value of platelet-related genes.
Combined clinical assessment of platelet activation and co-culture experiments with MM cell lines.
Analyzed bulk and single-cell transcriptomic datasets to identify platelet-related prognostic genes.
Used single-cell RNA sequencing to investigate aberrant erythroid-megakaryocyte components.
Developed a 13-gene platelet-related prognostic signature using Cox and Ridge regression models.
Validated the prognostic model with training and validation cohorts.
Identified dysfunctional platelet activity that promotes tumor cell proliferation and suppresses apoptosis.
Stratified MM patients into distinct prognostic groups with high-risk patients having poorer outcomes.
Demonstrated improved predictive ability using the integrated genetic risk model and clinical information.

Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/69a7cc4cd48f933b5eed7e79 https://doi.org/10.1007/s00277-026-06867-8

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