Risk factors and their contributions to prognosis in multiple myeloma
Tae-Hoon Chung1, Jia Geng Chang2, Tze King Tan1
1Cancer Science Institute of Singapore, National University of Singapore.
Abstract:
Despite improvements in clinical outcomes for multiple myeloma (MM), some patients still experience short survival, and identifying high-risk (HR) MM patients early remains a substantial challenge. In this study, we collected recently published International Myeloma Society (IMS) / International Myeloma Working Group (IMWG) recommendation and four additional risk factors of diverse nature (APOBEC mutational activity, chromothripsis, EMC92 gene expression signature, proliferation index (PR)) and examined their predictive utility on CoMMpass data. All factors were highly associated with survival even when the treatment heterogeneity in CoMMpass data was adjusted. 27% of the patients harbored the IMS/IMWG lesion, but only 21% of them were implicated uniquely by it. As a whole, 68% of the patients harbored HR lesions, 62% of them with multiple lesions. "Multi-hit" effect was profound with median survival reduced drastically while the hazard ratio (HzR) increased sharply from single to quadruple-or-more HR factor inflicted groups compared with those without any HR lesions. The concordance, C-statistic, of patient's risk prediction starting from a baseline model with patient age and sex (C=0.63) increased slightly to C=0.65 with IMS/IMWG factor only but improved further to C=0.72 with additional HR factors. Interestingly, EMC92 turned out essential in the reliable prediction of a patient's risk of overall survival. Most functional high risk (FHR) patients also harbored additional HR lesions although a quarter of them were free of other lesions but still had very poor outcomes. These results provide a solid rationale for expanding HR factors beyond IMS/IMWG recommendation utilizing diverse genomic technologies.
Insights
Identifying high-risk multiple myeloma (MM) is challenging. New genomic factors, beyond current recommendations, significantly improve survival prediction in MM patients, enabling earlier risk stratification.
Area of Science:
- Hematology
- Genomics
- Oncology
Background:
- Despite advances, early identification of high-risk multiple myeloma (MM) patients remains difficult.
- Existing risk stratification models need enhancement for improved patient outcomes.
Purpose of the Study:
- To evaluate the predictive utility of International Myeloma Society (IMS) / International Myeloma Working Group (IMWG) recommendations and novel genomic factors for high-risk MM.
- To assess the combined impact of multiple risk factors on patient survival.
Main Methods:
- Analysis of CoMMpass data incorporating IMS/IMWG lesions and four additional factors: APOBEC mutational activity, chromothripsis, EMC92 gene expression, and proliferation index (PR).
- Statistical modeling to assess the association of these factors with survival, adjusting for treatment heterogeneity.
- Evaluation of concordance (C-statistic) for risk prediction models.
Main Results:
- All assessed factors were significantly associated with survival.
- 68% of patients had high-risk (HR) lesions, with 62% having multiple lesions, demonstrating a 'multi-hit' effect on survival.
- The inclusion of additional HR factors improved risk prediction concordance from C=0.65 to C=0.72, with EMC92 being particularly crucial.
Conclusions:
- Expanding high-risk factors beyond current IMS/IMWG recommendations using diverse genomic technologies is essential for accurate MM patient risk stratification.
- The 'multi-hit' phenomenon underscores the need for comprehensive genomic profiling in MM.
- Early identification of high-risk MM patients can be significantly improved by integrating novel genomic markers.
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