bioRxivBioinformaticsPreprint
Germline regulation of tumor evolutionary dynamics shapes multiple myeloma progression
Hai CheniD, Jingmin Shu, Rekha MudappathiiD, Panwen WangiD, Peter Leif BergsageliD, Ping YangiD, Zhifu SuniD, Changxin Shi, Li LiuiD
Abstract
Germline variation shapes cancer risk, yet its influence on the evolutionary dynamics of established tumors remains poorly understood. In multiple myeloma, subclonal diversification drives disease progression and treatment failure, but the heritable factors that modulate this process are unknown. Here, we show that germline variation is associated with tumor evolutionary features, implicating inherited regulation in subclonal expansion. Integrating germline variation with tumor evolutionary parameters identifies variants associated with evolutionary features, with signals enriched in regulatory regions, consistent with a transcriptional basis. We further identify TBKBP1 as a key locus linking germline variation to tumor evolution and clinical outcome. Germline variation at this locus is associated with TBKBP1 expression and subclonal expansion, and TBKBP1 expression correlates with adverse prognosis, consistent across independent cohorts. Functional analyses demonstrate that TBKBP1 promotes proliferation and activates MYC, mTORC1 and non-canonical NF-{kappa}B signaling pathway. Together, these findings establish germline regulatory variation as a determinant of tumor evolutionary dynamics and identify TBKBP1 as a mediator linking inherited variation to subclonal expansion and disease progression in multiple myeloma.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- approach: statistical model
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Germline and somatic genetic effects on gene expression and outcome in patients with Multiple Myeloma
Heini M. Natri, Linh T. Bui, … Nicholas E. Banovich·bioRxiv·Oct 9, 2024
- The Vk*MYC Mouse Model recapitulates human multiple myeloma evolution and genomic diversity
F. MAURA, D. G. Coffey, … M. Chesi·bioRxiv·Jul 25, 2023
- Accelerated single cell seeding in relapsed multiple myeloma
H. J. Landau, V. Yellapantula, … F. Maura·bioRxiv·Feb 25, 2020
- The DNA methylation landscape of multiple myeloma shows extensive inter- and intrapatient heterogeneity that fuels transcriptomic variability
J. Derrien, C. Guerin-Charbonnel, … S. Minvielle·bioRxiv·Oct 1, 2020
- Genomic landscape and chronological reconstruction of driver events in multiple myeloma
F. Maura, N. Bolli, … P. J. Campbell·bioRxiv·Aug 12, 2018
- Genetic background sets the trajectory of cancer evolution
Sarah J. Aitken, Frances Connor, … Duncan T. Odom·NaturePeer-reviewed·Jul 22, 2026