Warsaw Genomics
Genetic test

Somatic mutations profiling - analysis of DNA and HRD

CAP & EMQN quality control
Price 8994 PLN 29 working days from sample registration in laboratory Sample Tissue block (FFPE) with preparations
Genetic testing with clinical consultation at Warsaw Genomics
~100 000
genomes in our reference database
CAP & EMQN
quality control
In-house
our own laboratory, full control
RODO
genetic data encrypted & protected

What's included in the price

  • NGS sequencing — analysis of the full coding sequence
  • In-house result interpretation by our own team
  • Free courier return of your material to the laboratory
  • Result available online in the patient portal (PDF)

A consultation with a clinical geneticist is available as a separate service. See the clinic

About this test

The assay provides the comprahensive analysis of the tumor DNA sequence. In order to perform complete analysis of molecular mechanisms behind the cancer, it is necessary to run a test that covers informations about germline and somatics mutations in DNA. We offer the analysis of DNA variants in 523 genes. DNA analysis reveals single nucleotide polymorphisms (SNPs), short insertions, and deletions and copy number variants in DNA (CNV). 
The information regarding detected DNA somatic mutations does not always enable to prepare an unambiguous, clinically significant result for the patient. Therefore, in order to propose a more effective cancer therapy scheme, we offer the following analysis: HRD, TMB, MSI.
HRD (Homologous Recombination Deficiency) – It is cells’ inability to repair of double-stranded DNA breaks by homologous recombination repair (HRR) genes, i.e. BRCA1 and BRCA2. HRD analysis enables the assessment of genome instability score (GIS) by determining: loss of heterozygosity (LOH), telomeric-allelic imbalance (TAI) and large-scale state transitions (LST). HRD analysis is especially important prior to PARP inhibitors therapy.
TMB (tumor mutational burden) - The analysis accurately determine the patient’s benefit from immunotherapy. It determines the approximate number of mutations in the tumor genome.
MSI (microsatellite instability) - markers of microsatellite instability indicates the inconsistency in the number of repetitive DNA. These discrepancies result from errors in DNA replication resulting from dysfunction of MMR repair genes (MSH2, MLH1, PMS1, PMS2, MSH6, MSH3). MSI analysis is used in molecular diagnosis of many types of cancer i.e. colon cancer, endometrial cancer.

Test material: tumor tissue section (paraffin block) and histopathological preparations made of it (slides) and 4 ml of peripheral blood collected to EDTA.

How the test works

  1. 1

    Order online

    No referral needed. You order online.

  2. 2

    Deliver the material

    Sample: Tissue block (FFPE) with preparations. You deliver the material to the laboratory (free courier return).

  3. 3

    Result

    Available in 29 working days from sample registration in laboratory, online.

Methodology
Methodology
Information on the test method:

At first, deoxyribonucleic acid (DNA) is isolated from a blood sample or paraffin embedded tissue block. The quantity and quality of the material is determined in spectrophotometric and fluorometric assays. From mechanically or enzymatically fragmented DNA a library is made to be used for determination, sequencing and examination of selected genes. The library is sequenced on a new generation sequencer. Afterwards, sequencing results are subjected to bioinformatics analysis and clinical interpretation. Genetic variants are identified using BurrowsWheeler Aligner. The test detects 100% of substitutions and 95% of small insertions and deletions.

Information on variant classification:

The study report provides information on variants classified as ‘potentially pathogenic’ and ‘pathogenic’ depending on their suspected clinical significance. The identified variants are classified under the following categories:

Pathogenic variant: the detected change in the gene sequence directly associates with disease development. At the same time, some pathogenic changes may not have full penetration, meaning that a single mutation may not be enough to cause a full-blown disease.

Potentially pathogenic variant: the detected change in the gene sequence may be, with a great probability, associated with disease development however it is not possible to prove this association on the basis of currently available scientific data. Variant pathogenicity confirmation would require additional tests and evidence; it cannot be excluded that further tests might prove that the change has limited or no clinical significance.

Variant of unknown pathogenicity: based on the currently available scientific data it is not possible to determine the significance of the detected change.

Potentially benign variant: the detected change in the gene sequence most probably does not associate with disease development, however based on the currently available scientific data the benignity of the mutation cannot be confirmed. Confirmation of the clinical significance of the variant would require additional tests and evidence; it cannot be excluded that further tests might prove that the detected mutation has clinical significance and would cause disease development.

Benign variant: the detected change does not associate with disease development.

The identified genetic variants are classified based on the guidelines of the American College of Medical Genetics and Genomics and the American Association for Molecular Pathology (S. Richards, Genet Med. 2015 May; 17(5):405-24). In variant classification the following criteria are considered:

  • Previous variant identification in persons burdened with the disease
  • Variant impact of functional gene product synthesis determined through bioinformatics analyses, confirmed by in vitro/in vivo studies
  • Variant location (exon/intron, functional domain)
  • De novo/hereditary change
  • Variant incidence in general population (each variant with incidence >5% in line with Exome Sequencing Project, 1000 Genomes Project or Exome Aggregation Consortium is classified as benign change)

Variant incidence in general population with relation to patient population The final classification of variants is made on the basis of the total of the above-mentioned criteria. The data bases include: 1000GP, ClinVar, ConsensusPathDB, Exome Aggregation Consortium, Exome Variant Server, FATHMM, GO (Gene Ontology), GTEx (Genotype-Tissue Expression), GWAS (Genome Wide Association Study), HGMD, KEGG, MetaLR, MetaSVM, MutationAssessor, MutationTaster, OMIM, PolyPhen-2, PROVEAN, SIFT, SnpEff, dbNSFP, UniProt, VEP (Variant Effect Predictor).

Test limitations:

All sequencing technologies have some limitations. Our tests use new generation sequencing (NGS) to examine coding and splicing regions of disease-associated genes. Sequencing techniques and subsequent bioinformatics analyses are aimed at limiting the significance of pseudo-gene sequences, however presence of highly homologous gene sequences may still occasionally disturb the identification of pathogenic alleles, deletions/duplications. The Sanger sequencing method is used to confirm variants with lower quality parameters. Deletion/duplication analyses show qualitative changes in DNA covering at least one exon and always require confirmation with other methods (qPCR or MLPA). The analyses are not designed for detecting certain types of genomic changes, such as translocations, inversions, dynamic mutations (e.g. increased number of trinucleotide repetitions) or mutations in regulatory or intronic regions. In case increased numbers of di- or trinucleotide repetitions are reported, it should be assumed that the exact number of repetitions is not precise. The test is not intended to detect somatic mosaicism and somatic mutation analyses should be made in the context of the germinal DNA sequence.

It is not possible to exclude mutations in genes and regions other than those covered by the test as well as alternations in the gene copy number. The test report includes information on changes in gene sequence identified on the basis of a comparison against current reference sequences maintained in NCBI Nucleotide and Ensembl databases. Tests are developed by Warsaw Genomics for clinical objectives. All test results collected are interpreted and analysed by scientific and medical experts of Warsaw Genomics.

Frequently asked questions

How long does the Somatic mutations profiling - analysis of DNA and HRD test take?

The result is usually available within 29 working days from sample registration in laboratory.

Do I need a referral?

No. You can order this genetic test online without a referral.

How much does the test cost?

The price of the test is 8994 PLN.

Ready to order Somatic mutations profiling - analysis of DNA and HRD

Order online — no referral needed.

Order a test
Test price
8994 PLN
Order a test