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Established and Novel Prognostic Biomarkers in Multiple Myeloma
- Source :
- American Society of Clinical Oncology Educational Book. :548-560
- Publication Year :
- 2017
- Publisher :
- American Society of Clinical Oncology (ASCO), 2017.
-
Abstract
- Multiple myeloma (MM) is an incurable plasma cell malignancy characterized by notable interpatient heterogeneity. There have been important advances in therapy and overall survival, but some patients with high-risk features still have poor survival rates. Therefore, accurate identification of this subset of patients has been integral to improvement of patient outcome. During the last few years, cytogenetics, gene expression profiling, MRI and PET/CT, as well as serum free light chain assays have been used as accurate biomarkers to better characterize the diverse course and outcome of the disease. With the recent advances of massive parallel sequencing techniques, the development of new models that better stratify high-risk groups are beginning to be developed. The use of multiparameter flow cytometry and next-generation sequencing have paved the way for assessment of minimal residual disease and better prognostication of post-therapeutic outcomes. Circulating tumor cells and circulating tumor DNA are promising potential biomarkers that demonstrate the spatial and temporal heterogeneity of MM. Finally, more prognostic markers are being developed that are specific to immunotherapeutic agents. In this review, we discuss these traditional and novel biomarkers that have been developed for MM and also those that can predict disease progression from precursor stages. Together, these biomarkers will help improve our understanding of the intrapatient and interpatient variabilities and help develop precision medicine for patients with high-risk MM.
- Subjects :
- 0301 basic medicine
Disease
Malignancy
Bioinformatics
Cytogenetics
03 medical and health sciences
0302 clinical medicine
Circulating tumor cell
Positron Emission Tomography Computed Tomography
Biomarkers, Tumor
Humans
Medicine
Multiple myeloma
Massive parallel sequencing
business.industry
High-Throughput Nucleotide Sequencing
General Medicine
Flow Cytometry
Prognosis
Precision medicine
medicine.disease
Minimal residual disease
Gene Expression Regulation, Neoplastic
Gene expression profiling
030104 developmental biology
030220 oncology & carcinogenesis
Multiple Myeloma
business
Subjects
Details
- ISSN :
- 15488756 and 15488748
- Database :
- OpenAIRE
- Journal :
- American Society of Clinical Oncology Educational Book
- Accession number :
- edsair.doi.dedup.....bdd5a11d64165639345c3cf612032d5b
- Full Text :
- https://doi.org/10.1200/edbk_175175