Warsaw Genomics
Genetic test

Breast, ovarian, endometrial cancer

CAP & EMQN quality control
Price 2194 PLN 31 working days from sample registration in laboratory 21 genes Sample Cheek swab or Venous blood or DNA
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
  • Material collection / delivery per instructions
  • 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

Breast and ovarian cancer are one of the most common cancers in women and are related to the genetic changes in the same genes.

Hereditary breast and ovarian cancer syndrome is caused by mutations in the BRCA1 or BRCA2 genes and is characterized by increased risk of breast, ovarian and pancreatic cancer, whereas men have a higher risk of prostate cancer.

The average risk of breast cancer is estimated to be 13%, one in every 8 women is going to have this disease, whereas in BRCA1 and BRCA2 mutation carriers the risk increases to 40-87%. In the case of ovarian cancer, the risk is up to 40%.

Even though the hereditary breast and ovarian cancer syndrome accounts for 5-10% of cancers, it’s the most common cause of the disease in young women. Early detection of the mutation allows to adjust type and frequency of screening tests and provide genetic counseling for the family.

Increased risk of breast and ovarian cancer is also related to other cancer predisposition syndromes, such as Li-Fraumeni syndrome, Cowden syndrome, Bloom syndrome, Peutz-Jeghers syndrome, Nijmegen syndrome, ataxia-telangiectasia, Fanconi anemia, hereditary diffuse gastric cancer and type I neurofibromatosis. Breast and ovarian cancer predisposition syndromes affect one in 300-500 people.

Endometrial cancer is a disease arising from the lining of the uterus. It is the most frequent gynecologic cancer in developed countries. Typical signs include vaginal bleeding, which is not associated with the menstrual cycle, as well as pelvic pain. Hereditary forms of endometrial cancer have been linked to mutations in the PTEN gene (Cowden syndrome) as well as the mismatch repair genes (MLH1, MSH2, MSH6, PMS1, PMS2) which are associated with Lynch syndrome. Individuals carrying a mutation in these genes are in much higher risk of cancer affecting colon, ovaries, stomach and other organs.

Individuals with the genetic predisposition are more likely to develop cancer, usually, the onset of the disease is much earlier and its course is more aggressive.

Genes analysed (21)

Gene Inheritance Associated condition
ATM AD/AR Ataxia-telangiectasia, Breast cancer
BARD1 autosomal dominant Breast cancer
BRCA1 autosomal dominant Breast cancer, Breast-Ovarian cancer, familial, susceptibility to, 1, Li-Fraumeni syndrome 2, Noonan syndrome 7
BRCA2 AD/AR Breast cancer, Breast-Ovarian cancer, familial, susceptibility to, 1, Breast-Ovarian cancer, familial, susceptibility to, 2, Glioma susceptibility 3, Glioma susceptibility 3, Pancreatic cancer, susceptibility to, 2, Wilms tumor 1
CHEK2 AD/AR Li-Fraumeni syndrome 2, Rak piersi i jajnika
EPCAM AD/AR Diarrhea 5, with tufting enteropathy, congenital, Diarrhea 5, with tufting enteropathy, congenital
MLH1 AD/AR Diarrhea 5, with tufting enteropathy, congenital, Mismatch repair cancer syndrome 1
MRE11A autosomal dominant
MSH2 AD/AR Diarrhea 5, with tufting enteropathy, congenital, Mismatch repair cancer syndrome 2
MSH6 AD/AR Diarrhea 5, with tufting enteropathy, congenital
NBN AD/AR Breast cancer, Nijmegen breakage syndrome
PALB2 AD/AR Breast cancer, Glioma susceptibility 3, Li-Fraumeni syndrome 2, Wilms tumor 1
PMS2 AD/AR Diarrhea 5, with tufting enteropathy, congenital
PPM1D autosomal dominant Breast cancer
PTEN autosomal dominant Cowden syndrome 6
RAD50 autosomal dominant Breast cancer
RAD51C AD/AR Breast cancer, Breast-Ovarian cancer, familial, susceptibility to, 1, Wilms tumor 1
RAD51D autosomal dominant Breast-Ovarian cancer, familial, susceptibility to, 1
STK11 autosomal dominant Peutz-Jeghers syndrome
TP53 autosomal dominant Adrenocortical carcinoma, pediatric, Breast cancer, Colorectal cancer, Li-Fraumeni syndrome, Li-Fraumeni syndrome 2
XRCC2 AD/AR Breast cancer

Click a gene to see a single-gene test.

How the test works

  1. 1

    Order online

    No referral needed. You order online.

  2. 2

    Collect the sample

    Sample: Cheek swab or Venous blood or DNA.

  3. 3

    Result

    Available in 31 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 Breast, ovarian, endometrial cancer test take?

The result is usually available within 31 working days from sample registration in laboratory.

Do I need a referral?

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

How many genes does this panel cover?

The panel analyses 21 genes.

How much does the test cost?

The price of the test is 2194 PLN.

Ready to order Breast, ovarian, endometrial cancer

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