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BRST5:The polygenic component of breast cancer susceptibility

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Breast Tumours (WHO Classification, 5th ed.)

(General Instructions – The focus of these pages is the clinically significant genetic alterations in each disease type. This is based on up-to-date knowledge from multiple resources such as PubMed and the WHO classification books. The CCGA is meant to be a supplemental resource to the WHO classification books; the CCGA captures in a continually updated wiki-stye manner the current genetics/genomics knowledge of each disease, which evolves more rapidly than books can be revised and published. If the same disease is described in multiple WHO classification books, the genetics-related information for that disease will be consolidated into a single main page that has this template (other pages would only contain a link to this main page). Use HUGO-approved gene names and symbols (italicized when appropriate), HGVS-based nomenclature for variants, as well as generic names of drugs and testing platforms or assays if applicable. Please complete tables whenever possible and do not delete them (add N/A if not applicable in the table and delete the examples); to add (or move) a row or column in a table, click nearby within the table and select the > symbol that appears. Please do not delete or alter the section headings. The use of bullet points alongside short blocks of text rather than only large paragraphs is encouraged. Additional instructions below in italicized blue text should not be included in the final page content. Please also see Author_Instructions and FAQs as well as contact your Associate Editor or Technical Support.)

Primary Author(s)*

Xiaolin Hu, GeneDx

WHO Classification of Disease

Structure Disease
Book Breast Tumours (5th ed.)
Category Genetic tumour syndromes of the breast
Family Syndromes
Type Polygenetic component of breast cancer susceptibility
Subtype(s) N/A

Related Terminology

Acceptable N/A
Not Recommended N/A

Polygenic breast cancer risk; Common low-penetrance breast cancer alleles

Definition/Description of Disease

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The polygenic component of breast cancer refers to the combined effect of many common SNPs, each conferring a small increase in risk, typically under 1.3-fold. Identified mainly through GWAS, these low-penetrance variants collectively explain 18–20% of familial breast cancer risk and are quantified using a polygenic risk score (PRS) [1][2]. There are no specific histologic features directly attributable to polygenic risk alleles. However, these variants tend to be enriched in specific breast cancer subtypes. For example, ER-positive tumors, which are estrogen receptor–driven and often of ductal histology, are more strongly associated with many common susceptibility alleles. In contrast, ER-negative tumors, including those seen more frequently in BRCA1 mutation carriers, show enrichment for a smaller subset of variants. Similarly, lobular carcinomas—characterized by a lack of E-cadherin expression—have been associated with unique risk variants distinct from those found in ductal carcinomas[3]. SNPs in FGFR2 are more common in ER-positive ductal carcinoma; variants in 7q34 are associated with lobular carcinoma; ER-negative cancers (e.g., seen in BRCA1 carriers) are linked to 19p13.1 variants[3][4][5].

Epidemiology/Prevalence

Over 170 low-penetrance alleles have been identified, primarily in populations of European descent, accounting for approximately 18% of familial breast cancer risk[6]. These loci are found in the general population with varying allele frequencies and are being increasingly incorporated into risk prediction models.

Genetic Abnormalities: Germline

Put your text here and fill in the table (Instructions: Describe germline alteration(s) that cause the syndrome. In the notes, include additional details about most common mutations including founder mutations, mechanisms of molecular pathogenesis, alteration-specific prognosis and any other important genetics-related information. If multiple causes of the syndrome, include relative prevalence of genetic contributions to that syndrome. Please include references throughout the table. Do not delete the table.)

Gene Genetic Variant or Variant Type Molecular Pathogenesis Inheritance, Penetrance, Expressivity Notes
EXAMPLE: BRCA1 EXAMPLE: Many EXAMPLE: Multiple variant types leading to loss of function EXAMPLE: Autosomal recessive,

~30% penetrant for carriers

EXAMPLE: Gene X EXAMPLE: List the specific mutation

PLEASE PUT CONTENT FROM OLD TABLE BELOW WHERE YOU WANT IT AND THEN DELETE THE OLD TABLE.

Gene; Genetic Alteration Presumed Mechanism (Tumor Suppressor Gene [TSG] / Oncogene / Other) Prevalence (COSMIC / TCGA / Other) Concomitant Mutations Mutually Exclusive Mutations Diagnostic Significance (Yes, No or Unknown) Prognostic Significance (Yes, No or Unknown) Therapeutic Significance (Yes, No or Unknown) Notes
Multiple SNPs (e.g., FGFR2, MAP3K1, TOX3) Regulatory/epigenetic, not traditional oncogenes/TSGs Common, MAF >1% Varies Varies No Limited Yes (PRS applications Target gene expression changes may affect oncogenic pathways

Genetic Abnormalities: Somatic

Put your text here and fill in the table (Instructions: Describe significant second hit mutations, or somatic variants that present as a germline syndrome. In the notes, include details about most common mutations, mechanisms of molecular pathogenesis, alteration-specific prognosis and any other important genetic-related information. Please include references throughout the table. Do not delete the table.)

Gene Genetic Variant or Variant Type Molecular Pathogenesis Inheritance, Penetrance, Expressivity Notes
EXAMPLE: BRCA1 EXAMPLE: Biallelic inactivation variants EXAMPLE: Second hit mutation can occur as copy neutral LOH, inactivating mutation, deletion, promoter hypermethylation, or a structural abnormality disrupting the gene.
EXAMPLE: BRCA1 EXAMPLE: Reversion mutation EXAMPLE: After exposure to certain therapies (e.g. PARP inhibitors), a second mutation may restore gene function as a resistance mechanism.

Genes and Main Pathways Involved

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Gene; Genetic Alteration Pathway Pathophysiologic Outcome
MAP2K1; ??? ERK1/2 cascade Altered signal transduction
FGFR2; ??? FGF signaling Enhanced cell proliferation
TOX3; ??? Transcriptional regulation Affects chromatin remodeling
ESR1; ??? Estrogen signaling Influences hormone response in breast cancer
EXAMPLE: KMT2C and ARID1A; Inactivating mutations EXAMPLE: Histone modification, chromatin remodeling EXAMPLE: Abnormal gene expression program

Genetic Diagnostic Testing Methods

Polygenic risk is assessed through genotyping panels or whole-genome SNP arrays followed by computational calculation of the PRS[7][8][2].

Additional Information

These low-penetrance alleles can act additively or multiplicatively with rare high-penetrance pathogenic variants (e.g., BRCA1, BRCA2) and may modify cancer risk within families with hereditary breast and ovarian cancer syndromes[9].

The utility of PRS in clinical practice is growing, both for general population risk stratification and for risk modification in individuals with known pathogenic variants in high-risk genes[10].

Links

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References

  1. Michailidou, Kyriaki; et al. (2017-11-02). "Association analysis identifies 65 new breast cancer risk loci". Nature. 551 (7678): 92–94. doi:10.1038/nature24284. ISSN 1476-4687. PMC 5798588. PMID 29059683.
  2. 2.0 2.1 Mavaddat, Nasim; et al. (2015-05). "Prediction of breast cancer risk based on profiling with common genetic variants". Journal of the National Cancer Institute. 107 (5): djv036. doi:10.1093/jnci/djv036. ISSN 1460-2105. PMC 4754625. PMID 25855707. Check date values in: |date= (help)
  3. 3.0 3.1 Sawyer, Elinor; et al. (2014-04). "Genetic predisposition to in situ and invasive lobular carcinoma of the breast". PLoS genetics. 10 (4): e1004285. doi:10.1371/journal.pgen.1004285. ISSN 1553-7404. PMC 3990493. PMID 24743323. Check date values in: |date= (help)
  4. Mavaddat, Nasim; et al. (2012-01). "Pathology of breast and ovarian cancers among BRCA1 and BRCA2 mutation carriers: results from the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA)". Cancer Epidemiology, Biomarkers & Prevention: A Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology. 21 (1): 134–147. doi:10.1158/1055-9965.EPI-11-0775. ISSN 1538-7755. PMC 3272407. PMID 22144499. Check date values in: |date= (help)
  5. Kuchenbaecker, Karoline B.; et al. (2014-12-31). "Associations of common breast cancer susceptibility alleles with risk of breast cancer subtypes in BRCA1 and BRCA2 mutation carriers". Breast cancer research: BCR. 16 (6): 3416. doi:10.1186/s13058-014-0492-9. ISSN 1465-542X. PMC 4406179. PMID 25919761.
  6. Adam, Kevin; et al. (2018-02). "Histidine kinases and the missing phosphoproteome from prokaryotes to eukaryotes". Laboratory Investigation; a Journal of Technical Methods and Pathology. 98 (2): 233–247. doi:10.1038/labinvest.2017.118. ISSN 1530-0307. PMC 5815933. PMID 29058706. Check date values in: |date= (help)
  7. Sawyer, Sarah; et al. (2012-12-10). "A role for common genomic variants in the assessment of familial breast cancer". Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology. 30 (35): 4330–4336. doi:10.1200/JCO.2012.41.7469. ISSN 1527-7755. PMID 23109704.
  8. Dite, Gillian S.; et al. (2016-02). "Breast Cancer Risk Prediction Using Clinical Models and 77 Independent Risk-Associated SNPs for Women Aged Under 50 Years: Australian Breast Cancer Family Registry". Cancer Epidemiology, Biomarkers & Prevention: A Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology. 25 (2): 359–365. doi:10.1158/1055-9965.EPI-15-0838. ISSN 1538-7755. PMC 4767544. PMID 26677205. Check date values in: |date= (help)
  9. Kuchenbaecker, Karoline B.; et al. (2017-07-01). "Evaluation of Polygenic Risk Scores for Breast and Ovarian Cancer Risk Prediction in BRCA1 and BRCA2 Mutation Carriers". Journal of the National Cancer Institute. 109 (7): djw302. doi:10.1093/jnci/djw302. ISSN 1460-2105. PMC 5408990. PMID 28376175.
  10. Kuchenbaecker, Karoline B.; et al. (2017-07-01). "Evaluation of Polygenic Risk Scores for Breast and Ovarian Cancer Risk Prediction in BRCA1 and BRCA2 Mutation Carriers". Journal of the National Cancer Institute. 109 (7): djw302. doi:10.1093/jnci/djw302. ISSN 1460-2105. PMC 5408990. PMID 28376175.

Notes

*Primary authors will typically be those that initially create and complete the content of a page.  If a subsequent user modifies the content and feels the effort put forth is of high enough significance to warrant listing in the authorship section, please contact the Associate Editor or other CCGA representative.  When pages have a major update, the new author will be acknowledged at the beginning of the page, and those who contributed previously will be acknowledged below as a prior author.

Prior Author(s):