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      Detection and Characterization of Circulating Tumour Cells in Multiple Myeloma

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          Abstract

          Multiple myeloma (MM) remains an incurable disease despite recent therapeutic improvements. The ability to detect and characterize MM circulating tumour cells (CTCs) in peripheral blood provides an alternative to replace or augment invasive bone marrow (BM) biopsies with a simple blood draw, providing real-time, clinically relevant information leading to improved disease management and therapy selection. Here we have developed and qualified an enrichment-free, cell-based immunofluorescence MM CTC assay that utilizes an automated digital pathology algorithm to distinguish MM CTCs from white blood cells (WBCs) on the basis of CD138 and CD45 expression levels, as well as a number of morphological parameters. These MM CTCs were further characterized for expression of phospho-ribosomal protein S6 (pS6) as a readout for PI3K/AKT pathway activation. Clinical feasibility of the assay was established by testing blood samples from a small cohort of patients, where we detected populations of both CD138 pos and CD138 neg MM CTCs. In this study, we developed an immunofluorescent cell-based assay to detect and characterize CTCs in MM.

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          Mutational landscape and significance across 12 major cancer types

          The Cancer Genome Atlas (TCGA) has used the latest sequencing and analysis methods to identify somatic variants across thousands of tumours. Here we present data and analytical results for point mutations and small insertions/deletions from 3,281 tumours across 12 tumour types as part of the TCGA Pan-Cancer effort. We illustrate the distributions of mutation frequencies, types and contexts across tumour types, and establish their links to tissues of origin, environmental/carcinogen influences, and DNA repair defects. Using the integrated data sets, we identified 127 significantly mutated genes from well-known(forexample, mitogen-activatedprotein kinase, phosphatidylinositol-3-OH kinase,Wnt/β-catenin and receptor tyrosine kinase signalling pathways, and cell cycle control) and emerging (for example, histone, histone modification, splicing, metabolism and proteolysis) cellular processes in cancer. The average number of mutations in these significantly mutated genes varies across tumour types; most tumours have two to six, indicating that the numberof driver mutations required during oncogenesis is relatively small. Mutations in transcriptional factors/regulators show tissue specificity, whereas histone modifiers are often mutated across several cancer types. Clinical association analysis identifies genes having a significant effect on survival, and investigations of mutations with respect to clonal/subclonal architecture delineate their temporal orders during tumorigenesis. Taken together, these results lay the groundwork for developing new diagnostics and individualizing cancer treatment.
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            Clonal evolution in cancer.

            Cancers evolve by a reiterative process of clonal expansion, genetic diversification and clonal selection within the adaptive landscapes of tissue ecosystems. The dynamics are complex, with highly variable patterns of genetic diversity and resulting clonal architecture. Therapeutic intervention may destroy cancer clones and erode their habitats, but it can also inadvertently provide a potent selective pressure for the expansion of resistant variants. The inherently Darwinian character of cancer is the primary reason for this therapeutic failure, but it may also hold the key to more effective control.
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              Multiple Myeloma

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                Author and article information

                Journal
                J Circ Biomark
                J Circ Biomark
                CBX
                spcbx
                Journal of Circulating Biomarkers
                SAGE Publications (Sage UK: London, England )
                1849-4544
                1 January 2016
                Jan-Dec 2016
                : 5
                : 10
                Affiliations
                [1 ] Departments of Oncology Biomarker Development, Genentech Inc, South San Francisco, CA, USA
                [2 ] Epic Sciences Inc., San Diego, CA, USA
                [3 ] Predicine Inc, Hayward, CA, USA
                Author notes
                [*] [* ] Corresponding author(s) E-mail: zhangl60@ 123456gene.com ; sjia@ 123456predicine.com
                Article
                10.5772_64124
                10.5772/64124
                5548310
                28936258
                889f7b4e-b38f-4677-a610-8c3408a0ea3e
                © 2016 Author(s). Licensee InTech.

                This is an open access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 16 March 2016
                : 6 May 2016
                Categories
                Original Research Article
                Custom metadata
                January-December 2016

                circulating tumour cells,rare cells,liquid biopsy,multiple myeloma,biomarkers,peripheral blood,drug development

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