PubMed Health⌕ Search

PubMed · 10338044

Flow cytometric DNA quantification in immunophenotyped cells as a sensitive method for determination of aneuploid multiple myeloma cells in peripheral blood stem cell harvests and bone marrow after therapy.

Abstract

The simultaneous measurement of DNA content and myeloma-related antigens (B-B4 or CD38) by flow cytometry is proposed as a method for the detection of aneuploid plasma cells in peripheral blood stem cell (PBSC) harvests and in bone marrow after therapy. In 30 patients with initially detected aneuploid myeloma cells we evaluated the bone marrow after therapy and in eight of these patients 23 PBSC harvests were analyzed. In 13 of 23 PBSC harvests aneuploid myeloma cells were detectable (range: 0.02-0.63%). In the bone marrow of the 30 patients aneuploid plasma cells were detectable in all samples after chemotherapy (range: 0.12-35.70%) and after autologous PBSC transplantation in two of three patients (0.21% and 0.03%). Furthermore the relationship between diploid and aneuploid plasma cells can be evaluated. In the PBSC harvests the percentage of aneuploid plasma cells is significantly lower than that of diploid plasma cells (P=0.006). In contrast, in bone marrow the aneuploid plasma cells are predominant in most patients even after therapy (24 of 30 patients; P=0.0055). In the case of initially detected aneuploid myeloma cells, a contamination with malignant cells can be estimated with a simple flow cytometric method in PBSC harvests and in bone marrow after therapy.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

R Nowak, U Oelschlägel, U Range, S Bergmann, M Bornhäuser, C Hölig, U Schuler, U Krebs, H Günther, F Kroschinsky, G Ehninger. 1999. Flow cytometric DNA quantification in immunophenotyped cells as a sensitive method for determination of aneuploid multiple myeloma cells in peripheral blood stem cell harvests and bone marrow after therapy.. https://doi.org/10.1038/sj.bmt.1701736

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Maternal age as a driver of genome instability: mechanisms linking aneuploidy, mutagenesis and mitochondrial dysfunction.

Advanced maternal age is a well-established risk factor for adverse reproductive outcomes due to increased rates of aneuploidy. However, emerging evidence indicates that the genetic consequences of maternal aging extend well beyond chromosome mis-segregation. Aging oocytes acquire a broad spectrum of genetic abnormalities, including maternally derived nuclear de novo mutations (DNMs) and mitochondrial DNA mutations, together with epigenetic dysregulation of DNA methylation and post-translational modification levels. These changes reflect the unique biology of the female germline in which oocytes remain arrested in meiotic prophase I for decades. Age-related deterioration of key processes, such as erosion of cohesion complexes, altered meiotic recombination, and weakened spindle assembly checkpoint surveillance collectively destabilize meiotic chromosome architecture, directly driving chromosome mis-segregation. At the same time, accumulation of endogenous DNA damage and declining DNA damage and repair processes increase the chances of transmitting lesions that can be converted into sequence-level mutations during the earliest embryonic divisions, when genome maintenance relies exclusively on maternal factors. High-resolution sequencing studies further demonstrate that maternal aging is associated with increased DNMs burden in both nuclear and mitochondrial DNA. Together, these findings support a model in which maternal aging is a driver of genome-wide instability that links aneuploidy and mutagenesis through shared defects in meiotic surveillance, declining DNA repair efficiency, and mitochondrial function. This framework positions delayed childbearing as a multifaceted genetic risk factor that extend beyond aneuploidy to include mutations and other genomic alterations that can impact intergenerational genetic risk.

Aneuploidy↗

Modeling and targeting general and chromosome-specific aneuploidy in cancer.

Throughout the last century, aneuploidy has been cemented as a hallmark of cancer. Although the association of aneuploidy with tumorigenesis has been well established, the role of these genetic imbalances in tumor formation has only recently begun to be elucidated. Advancements in genomics have revealed the complexity and context dependence of the effect of aneuploidy on cancer growth, while developments in genetic editing have allowed for proper modeling of specific aneuploidies. In this review, we discuss the key factors to consider when studying the role of aneuploidy in cancer and the tools that are available to do so. We then highlight recent studies that establish phenotypic contributions of aneuploidy to tumorigenicity. In particular, we highlight how general aneuploidy and chromosomal instability affect the tumor microenvironment and how specific chromosomal alterations, including the loss of chromosome 9p and the gain of chromosomes 8q and 1q, influence tumor behavior and therapeutic responses. Finally, we emphasize the potential of targeting aneuploidy-induced vulnerabilities to improve cancer treatment outcomes.

Aneuploidy↗