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SALSA digitalMLPA Probemix D006 Multiple Myeloma

SALSA® digitalMLPA™ Probemix D006 Multiple Myeloma detects copy number alterations of genes and chromosomal regions that are involved in multiple myeloma (MM).

Specifications

Contents: 644 probes, including 189 probes for 33 genes and 4 chromosomal regions (1p, 1q, 13q and 17p) related to MM, 1 mutation-specific probe for BRAF p.V600E, and 278 karyotyping probes covering all existing chromosome arms (at the middle, near the centromeres and near the telomeres).

Tissue: genomic DNA isolated from human bone marrow plasma cells.

Application: research on multiple myeloma.

For research use only (RUO). Not for use in diagnostics.

General information

SALSA® digitalMLPA™ Probemix D006-A1 Multiple Myeloma is a research use only (RUO) assay for the detection of deletions, gains or amplifications of genes and chromosomal regions mentioned in Table 2 of the product description that are recurrently altered in multiple myeloma, such as 1p, 1q, 13q and 17p, as well as for the detection of BRAF p.V600E point mutation.

Multiple myeloma (MM) is a clonal B-cell disorder characterised by malignant proliferation of monoclonal plasma cells. MM cases present with a common histological and morphological diagnosis, however simultaneously displaying enormous genetic and molecular complexity as well as marked variations in clinical characteristics and patient survival. Recent progress in molecular cytogenetics has improved the understanding of pathogenesis of MM and also provided reasoning for molecular sub-classification of MM. Genetic alterations in MM are well characterised and include gross chromosomal rearrangements such as fusion genes, hyper-/hypodiploidy and also focal deletions. This probemix is designed to detect the majority of the primary and secondary CNAs in MM.

The image below shows key target genes and regions for this probemix. Click the image to enlarge.

Target genes and regions in D006 Multiple Myeloma (click to enlarge)

Sample number calculator

Use the calculator below to get an indication of the number of samples that can be included in a sequencing run. Click here if you are having issues loading or using the calculator, or if you would like more information about the calculation.

Inter ratio result interpretation in tumour samples

Tumour tissues exhibit significant heterogeneity, characterised by varying tumour cell percentages (presence of non-tumour cells) and often subclonal cell expansions as a result of cancer evolution. When extracting DNA from a tumour tissue sample, this includes some DNA from non-tumour cells and genetic information from possible different (sub)clones of the tumour.

digitalMLPA analysis on tumour samples provides information on the average situation in the cells from which the DNA sample was purified. However, if the percentage of tumour cells is low, gains or losses of genomic regions or genes may not be detected. In addition, the subclonality of the aberration affects the inter ratio of the corresponding probe.

In case of a deletion that is present in a lower percentage of tumour cells and/or subclonal, the inter ratio may be higher than expected. For example, a monoallelic deletion in a sample with 60% tumour cell content (or a monoallelic deletion present in 60% of the tumour cells) will result in an inter ratio around 0.70. However, the same inter ratio of 0.70 will also be found in a sample with a biallelic deletion and a tumour cell percentage of 30% (or a subclone comprising 30% of all tumour cells) (this example can be found in bold in Table 1). The digitalMLPA technique cannot discriminate between these two scenarios.

Theoretical inter ratios obtained with digitalMLPA with a specific percentage of cells carrying the aberration can be found below. Estimating the percentage of cells carrying the aberration (tumour cell percentage and/or possible subclonality) could help facilitate the interpretation. As can be appreciated in this table, certain inter ratios can be interpreted in various ways, depending on the tumour cell percentage and/or subclonality.

Percentage of cells carrying the aberration
100%80%70%60%50%40%30%20%
Type of aberration
Normal copy number1.001.001.001.001.001.001.001.00
Monallelic deletion0.500.600.650.700.750.800.850.90
Biallelic deletion0.000.200.300.400.500.600.700.80
One copy gain1.501.401.351.301.251.201.151.10
Two copy gain *2.001.801.701.601.501.401.301.20

Table 1: Theoretical expected median inter ratios for aberrations present at different percentages.

As a real-life example of the results of digitalMLPA experiments with different percentages of cells carrying the aberration, DNA from a set of eight Coriell samples and tumour cell lines was diluted with different percentages of "healthy" DNA (without detectable CNAs with SALSA digitalMLPA Probemix D006 Multiple Myeloma). A table with inter ratios observed in this sample set for a specific percentage of cells carrying the deviation (CNA) can be found below.

Percentage of cells carrying the aberration
100%80%70%60%50%40%30%20%
Type of aberration
Normal copy number1.011.011.011.011.011.001.001.00
Monallelic deletion0.510.650.700.760.800.840.890.92
Biallelic deletion0.000.250.370.470.570.670.760.86
One copy gain1.481.351.311.251.201.171.111.06
Two copy gain *1.981.751.611.501.431.311.231.16

Table 2: Median inter ratios observed for aberrations present at different percentages when tested with SALSA digitalMLPA Probemix D006 Multiple Myeloma version A1. Please carefully take the variation of the inter ratios within your experiment into account.

* Inter ratios for amplifications (gain of >2 copies) are expected to follow the same trend, with lower values when less cells carry the aberration).

As can be observed in the table above, with lower percentages of cells carrying the aberration, inter ratios of samples with CNAs overlap with the expected normal range of inter ratios (0.85–1.15). We conclude the following: the minimum percentage of tumour cells required for reliable analysis is 30%, which is in line with previously published data (Al Zaabi et al. 2010, Coll-Mulet et al. 2008, Benard-Slagter et al. 2017). We recommend using tumour samples with at least 50% tumour cell content to minimize the variation in tumour cell estimation, and to allow robust data-analysis and detection of potential subclonal aberrations.

Regulatory status

SALSA digitalMLPA Probemix D006 Multiple Myeloma is for research use only (RUO) in all territories.

List prices

Product

Item no.
Description
Technology
Price
D006-025R
SALSA digitalMLPA Probemix D006 Multiple Myeloma – 25 rxn
€ 783.00
D006-050R
SALSA digitalMLPA Probemix D006 Multiple Myeloma – 50 rxn
€ 1539.00
D006-100R
SALSA digitalMLPA Probemix D006 Multiple Myeloma – 100 rxn
€ 3024.00

Required reagents

A general SALSA digitalMLPA Reagent Kit is required for digitalMLPA experiments (to be ordered separately).

Item no.
Description
Technology
Price
DRK01-IL
SALSA digitalMLPA Reagent Kit – 100 rxn (6 vials)
€ 341.00
DRK05-IL
SALSA digitalMLPA Reagent Kit – 500 rxn (5×6 vials)
€ 1571.00
DRK20-IL
SALSA digitalMLPA Reagent Kit – 2000 rxn (5×6 vials)
€ 6037.00
BP01-IL
SALSA digitalMLPA Barcode Plate 1 (barcode solutions 1–96) – 768 rxn
€ 1695.00
BP02-IL
SALSA digitalMLPA Barcode Plate 2 (barcode solutions 97–192) – 768 rxn
€ 1695.00

Price details & ordering

The prices above are list prices for direct orders from MRC Holland. Contact us for a quote that takes discounts and additional costs (such as shipping costs) into account. Different prices apply for orders through one of our sales partners; contact your local supplier for a quote.

Positive samples

Inclusion of a positive sample is usually not required, but can be useful for the analysis of your experiments. MRC Holland has very limited access to positive samples and cannot supply such samples. We recommend using positive samples from your own collection. Alternatively, you can use positive samples from an online biorepository, such as the Coriell Institute.

See this support article for commercially available positive samples that have been tested with this product.

Publications

Selected publications using D006 Multiple Myeloma

  • Croft J et al. (2021). Copy number evolution and its relationship with patient outcome-an analysis of 178 matched presentation-relapse tumor pairs from the Myeloma XI trial. Leukemia. 35:2043-53.
  • Kosztolányi S et al. (2018). High-Throughput Copy Number Profiling by Digital Multiplex Ligation-Dependent Probe Amplification in Multiple Myeloma. J Mol Diagn. 20:777-88.
  • Menezes K et al. (2020). High-Throughput Molecular Cancer Cell Line Characterization Using Digital Multiplex Ligation-Dependent Probe Amplification for Improved Standardization of in Vitro Research. J Mol Diagn. 22:1179-88.

References

  • Al Zaabi EA et al. (2010). Multiplex ligation-dependent probe amplification versus multiprobe fluorescence in situ hybridization to detect genomic aberrations in chronic lymphocytic leukemia: a tertiary center experience. J Mol Diagn. 12:197-203.
  • Bernard-Slagter A et al. (2017). Digital Multiplex Ligation-Dependent Probe Amplification for Detection of Key Copy Number Alterations in T- and B-Cell Lymphoblastic Leukemia. J Mol Diagn. 19:659-72.
  • Coll-Mulet L et al. (2008). Multiplex ligation-dependent probe amplification for detection of genomic alterations in chronic lymphocytic leukaemia. Br J Haematol. 142:793-801.

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