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Delving into tRNA-derived small RNAs in multiple myeloma: elevated 3'U-tRFSerTGA leads to poor disease prognosis
Konstantinos Soureas1,2, Panagiotis Malandrakis3, Maria-Alexandra Papadimitriou1
1Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Athens, Greece.
Background:
Multiple myeloma (MM) is an incurable malignancy, marked by treatment resistance and frequent relapses, posing ongoing challenges to patients' long-term management. Herein, we have examined tRNA-derived small RNA fragments (3'U-tRFs), generated from precursor tRNAs, to identify MM-related 3'U-tRFs in ameliorating MM precision prognostics.
Methods:
3'U-tRF profiles were generated by small RNA-seq data. Target prediction and gene ontology analysis were assessed by tRFtarget and DAVID databases, respectively. CD138 + 3'U-tRFSerTGA levels were quantified in our MM screening cohort (n = 136 patients) by RT-qPCR. Kaplan-Meier and Cox proportional regression analyses were performed, using disease progression and patients' mortality as clinical endpoints. Internal validation was conducted by bootstrap Cox regression while clinical benefit on patients' prognosis was assessed by decision curve analysis (DCA).
Results:
Small RNA-seq data analysis highlighted the significantly increased 3'U-tRFSerTGA levels in MM cell lines compared to normal cells (FC: 14.03). Our screening cohort confirmed the significantly higher risk for short-term progression and worse survival of the patients presenting elevated 3'U-tRFSerTGA. 3'U-tRFSerTGA-fitted multivariate models demonstrated superior risk-stratification of the patients for treatment response and prognosis.
Conclusions:
Our study indicate the elevated 3'U-tRFSerTGA as a strong independent predictor of poor first-line chemotherapy outcomes and MM progression, providing refined stratification of patient risk.
Insights
Elevated tRNA-derived small RNA fragments (3'U-tRFs), specifically 3'U-tRFSerTGA, indicate poor outcomes in multiple myeloma (MM). This finding aids in precise prognostics for MM patients undergoing treatment.
Area of Science:
- Molecular Biology
- Oncology
- Biochemistry
Background:
- Multiple myeloma (MM) is an incurable cancer characterized by treatment resistance and relapse.
- Current management strategies face challenges in long-term patient care.
- Investigating tRNA-derived small RNA fragments (3'U-tRFs) offers potential for improved MM prognostics.
Purpose of the Study:
- To identify specific 3'U-tRFs associated with multiple myeloma.
- To evaluate the prognostic value of these 3'U-tRFs in MM patients.
- To enhance precision prognostics for MM management.
Main Methods:
- Generated 3'U-tRF profiles using small RNA-seq.
- Quantified 3'U-tRFSerTGA levels in 136 MM patients via RT-qPCR.
- Performed survival analyses (Kaplan-Meier, Cox regression) and decision curve analysis (DCA).
Main Results:
- Significantly increased 3'U-tRFSerTGA levels were observed in MM cell lines versus normal cells (FC: 14.03).
- Elevated 3'U-tRFSerTGA correlated with higher risk of short-term progression and worse survival in MM patients.
- Multivariate models using 3'U-tRFSerTGA improved risk-stratification for treatment response and prognosis.
Conclusions:
- Elevated 3'U-tRFSerTGA is a potent independent predictor of poor outcomes in first-line chemotherapy for MM.
- This biomarker refines patient risk stratification for MM progression.
- The findings support the use of 3'U-tRFSerTGA in precision prognostics for multiple myeloma.
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