BRST5:The polygenic component of breast cancer susceptibility: Difference between revisions

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{{Under Construction}}<span style="color:#0070C0">(General Instructions – The main focus of these pages is the clinically significant genetic alterations in each disease type. Use [https://www.genenames.org/ <u>HUGO-approved gene names and symbols</u>] (italicized when appropriate), [https://varnomen.hgvs.org/ 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). 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 </span><u>[[Author_Instructions]]</u><span style="color:#0070C0"> and [[Frequently Asked Questions (FAQs)|<u>FAQs</u>]] as well as contact your [[Leadership|<u>Associate Editor</u>]] or [mailto:CCGA@cancergenomics.org <u>Technical Support</u>])</span>
[[BRST5:Table_of_Contents|Breast Tumours (WHO Classification, 5th ed.)]]
{{Under Construction}}
<span style="color:#0070C0">(''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 [https://www.genenames.org/ <u>HUGO-approved gene names and symbols</u>] (italicized when appropriate), [https://varnomen.hgvs.org/ <u>HGVS-based nomenclature for variants</u>], 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'' </span><u>''[[Author_Instructions]]''</u><span style="color:#0070C0"> ''and [[Frequently Asked Questions (FAQs)|<u>FAQs</u>]] as well as contact your [[Leadership|<u>Associate Editor</u>]] or [mailto:CCGA@cancergenomics.org <u>Technical Support</u>].)''</span>
==Primary Author(s)*==
==Primary Author(s)*==
Xiaolin Hu
Xiaolin Hu, GeneDx
==Cancer Category / Type==
==WHO Classification of Disease==
Put your text here
 
==Cancer Sub-Classification / Subtype==
Put your text here
==Definition / Description of Disease==
Put your text here <span style="color:#0070C0">(''Instructions: Brief description of approximately one paragraph - include disease context relative to other WHO classification categories referring to the specific WHO book pages, diagnostic criteria if applicable, and differential diagnosis if applicable'') </span>
==Synonyms / Terminology==
Put your text here <span style="color:#0070C0">(''Instructions: Include currently used terms and major historical ones, adding “(historical)” after the latter.'') </span>
==Epidemiology / Prevalence==
Put your text here
==Clinical Features==
Put your text here and fill in the table <span style="color:#0070C0">(''Instruction: Can include references in the table'') </span>
{| class="wikitable"
{| class="wikitable"
|'''Signs and Symptoms'''
!Structure
|EXAMPLE Asymptomatic (incidental finding on complete blood counts)
!Disease
EXAMPLE B-symptoms (weight loss, fever, night sweats)
 
EXAMPLE Fatigue
 
EXAMPLE Lymphadenopathy (uncommon)
|-
|-
|'''Laboratory Findings'''
|Book
|EXAMPLE Cytopenias
|Breast Tumours (5th ed.)
EXAMPLE Lymphocytosis (low level)
|}
==Sites of Involvement==
Put your text here <span style="color:#0070C0">(''Instruction: Indicate physical sites; Example: nodal, extranodal, bone marrow'') </span>
==Morphologic Features==
Put your text here
==Immunophenotype==
Put your text here and fill in the table <span style="color:#0070C0">(''Instruction: Can include references in the table'') </span>
{| class="wikitable sortable"
|-
|-
!Finding!!Marker
|Category
|Genetic tumour syndromes of the breast
|-
|-
|Positive (universal)||EXAMPLE CD1
|Family
|Syndromes
|-
|-
|Positive (subset)||EXAMPLE CD2
|Type
|Polygenetic component of breast cancer susceptibility
|-
|-
|Negative (universal)||EXAMPLE CD3
|Subtype(s)
|N/A
|}
 
==Related Terminology==
 
{| class="wikitable"
|+
|Acceptable
|N/A
|-
|-
|Negative (subset)||EXAMPLE CD4
|Not Recommended
|N/A
|}
|}
==Chromosomal Rearrangements (Gene Fusions)==
Polygenic breast cancer risk; Common low-penetrance breast cancer alleles
Put your text here and fill in the table
 
==Definition/Description of Disease==
Put your text here <span style="color:#0070C0">(''Instructions: Include a brief general clinical description, diagnostic criteria, and differential diagnosis if applicable. Include disease context relative to other WHO classification categories, i.e. describe any information relevant to the genetic aspects of the disease from all WHO classification books in which the syndrome is described.'')</span>
 
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) <ref name=":0">{{Cite journal|last=Michailidou|first=Kyriaki|last2=Lindström|first2=Sara|last3=Dennis|first3=Joe|last4=Beesley|first4=Jonathan|last5=Hui|first5=Shirley|last6=Kar|first6=Siddhartha|last7=Lemaçon|first7=Audrey|last8=Soucy|first8=Penny|last9=Glubb|first9=Dylan|date=2017-11-02|title=Association analysis identifies 65 new breast cancer risk loci|url=https://pubmed.ncbi.nlm.nih.gov/29059683|journal=Nature|volume=551|issue=7678|pages=92–94|doi=10.1038/nature24284|issn=1476-4687|pmc=5798588|pmid=29059683}}</ref><ref name=":1">{{Cite journal|last=Mavaddat|first=Nasim|last2=Pharoah|first2=Paul D. P.|last3=Michailidou|first3=Kyriaki|last4=Tyrer|first4=Jonathan|last5=Brook|first5=Mark N.|last6=Bolla|first6=Manjeet K.|last7=Wang|first7=Qin|last8=Dennis|first8=Joe|last9=Dunning|first9=Alison M.|date=2015-05|title=Prediction of breast cancer risk based on profiling with common genetic variants|url=https://pubmed.ncbi.nlm.nih.gov/25855707|journal=Journal of the National Cancer Institute|volume=107|issue=5|pages=djv036|doi=10.1093/jnci/djv036|issn=1460-2105|pmc=4754625|pmid=25855707}}</ref>.  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<ref name=":2">{{Cite journal|last=Sawyer|first=Elinor|last2=Roylance|first2=Rebecca|last3=Petridis|first3=Christos|last4=Brook|first4=Mark N.|last5=Nowinski|first5=Salpie|last6=Papouli|first6=Efterpi|last7=Fletcher|first7=Olivia|last8=Pinder|first8=Sarah|last9=Hanby|first9=Andrew|date=2014-04|title=Genetic predisposition to in situ and invasive lobular carcinoma of the breast|url=https://pubmed.ncbi.nlm.nih.gov/24743323|journal=PLoS genetics|volume=10|issue=4|pages=e1004285|doi=10.1371/journal.pgen.1004285|issn=1553-7404|pmc=3990493|pmid=24743323}}</ref>.  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<ref name=":2" /><ref>{{Cite journal|last=Mavaddat|first=Nasim|last2=Barrowdale|first2=Daniel|last3=Andrulis|first3=Irene L.|last4=Domchek|first4=Susan M.|last5=Eccles|first5=Diana|last6=Nevanlinna|first6=Heli|last7=Ramus|first7=Susan J.|last8=Spurdle|first8=Amanda|last9=Robson|first9=Mark|date=2012-01|title=Pathology of breast and ovarian cancers among BRCA1 and BRCA2 mutation carriers: results from the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA)|url=https://pubmed.ncbi.nlm.nih.gov/22144499|journal=Cancer Epidemiology, Biomarkers & Prevention: A Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|volume=21|issue=1|pages=134–147|doi=10.1158/1055-9965.EPI-11-0775|issn=1538-7755|pmc=3272407|pmid=22144499}}</ref><ref>{{Cite journal|last=Kuchenbaecker|first=Karoline B.|last2=Neuhausen|first2=Susan L.|last3=Robson|first3=Mark|last4=Barrowdale|first4=Daniel|last5=McGuffog|first5=Lesley|last6=Mulligan|first6=Anna Marie|last7=Andrulis|first7=Irene L.|last8=Spurdle|first8=Amanda B.|last9=Schmidt|first9=Marjanka K.|date=2014-12-31|title=Associations of common breast cancer susceptibility alleles with risk of breast cancer subtypes in BRCA1 and BRCA2 mutation carriers|url=https://pubmed.ncbi.nlm.nih.gov/25919761|journal=Breast cancer research: BCR|volume=16|issue=6|pages=3416|doi=10.1186/s13058-014-0492-9|issn=1465-542X|pmc=4406179|pmid=25919761}}</ref>.
==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<ref>{{Cite journal|last=Adam|first=Kevin|last2=Hunter|first2=Tony|date=2018-02|title=Histidine kinases and the missing phosphoproteome from prokaryotes to eukaryotes|url=https://pubmed.ncbi.nlm.nih.gov/29058706|journal=Laboratory Investigation; a Journal of Technical Methods and Pathology|volume=98|issue=2|pages=233–247|doi=10.1038/labinvest.2017.118|issn=1530-0307|pmc=5815933|pmid=29058706}}</ref>. 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 <span style="color:#0070C0">(''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.'')</span>
{| class="wikitable sortable"
{| class="wikitable sortable"
|-
|-
!Chromosomal Rearrangement!!Genes in Fusion (5’ or 3’ Segments)!!Pathogenic Derivative!!Prevalence
!Gene!!Genetic Variant or Variant Type!!Molecular Pathogenesis!!Inheritance, Penetrance, Expressivity
!Diagnostic Significance (Yes, No or Unknown)
!Prognostic Significance (Yes, No or Unknown)
!Therapeutic Significance (Yes, No or Unknown)
!Notes
!Notes
|-
|-
|EXAMPLE t(9;22)(q34;q11.2)||EXAMPLE 3'ABL1 / 5'BCR||EXAMPLE der(22)||EXAMPLE 20% (COSMIC)
|Multiple Genes(FGFR2, MAP3K1, TOX3 etc)||Many SNPs (Common, minor allele frequency >1%)||Affect regulatory region or epigenetics rather than traditional oncogenes/tumor suppressor genes ||complex inheritance: non-Mendelian, polygenic pattern; their effects are additive or multiplicative and are often influenced by environment; Penetrance: each SNP confer very modest risk (<1.3 fold), but cumulative penetrance increases with a higher PRS; Expressivity: variable. PRS may influence age of onset, tumor subtype or morphology
EXAMPLE 30% (add reference)
|
|Yes
|-
|No
|
|Yes
|
|EXAMPLE
|
The t(9;22) is diagnostic of CML in the appropriate morphology and clinical context (add reference). This fusion is responsive to targeted therapy such as Imatinib (Gleevec) (add reference).
|
|
|-
|
|
|
|
|
|}
|}
==Individual Region Genomic Gain / Loss / LOH==
'''PLEASE PUT CONTENT FROM OLD TABLE BELOW WHERE YOU WANT IT AND THEN DELETE THE OLD TABLE.'''
Put your text here and fill in the table <span style="color:#0070C0">(''Instructions: Includes aberrations not involving gene fusions. Can include references in the table. Can refer to CGC workgroup tables as linked on the homepage if applicable.'') </span>
{| class="wikitable sortable"
{| class="wikitable sortable"
|-
|-
!Chr #!!Gain / Loss / Amp / LOH!!Minimal Region Genomic Coordinates [Genome Build]!!Minimal Region Cytoband
!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)
!'''Diagnostic Significance (Yes, No or Unknown)'''
!Prognostic Significance (Yes, No or Unknown)
!Prognostic Significance (Yes, No or Unknown)
!Therapeutic Significance (Yes, No or Unknown)
!Therapeutic Significance (Yes, No or Unknown)
!Notes
!Notes
|-
|-
|EXAMPLE
|
7
|Regulatory/epigenetic, not traditional oncogenes/TSGs
|EXAMPLE Loss
|Common, MAF >1%
|EXAMPLE
|Varies
chr7:1- 159,335,973 [hg38]
|Varies
|EXAMPLE
chr7
|Yes
|Yes
|No
|EXAMPLE
Presence of monosomy 7 (or 7q deletion) is sufficient for a diagnosis of AML with MDS-related changes when there is ≥20% blasts and no prior therapy (add reference).  Monosomy 7/7q deletion is associated with a poor prognosis in AML (add reference).
|-
|EXAMPLE
8
|EXAMPLE Gain
|EXAMPLE
chr8:1-145,138,636 [hg38]
|EXAMPLE
chr8
|No
|No
|No
|No
|EXAMPLE
|Limited
Common recurrent secondary finding for t(8;21) (add reference).
|Yes (PRS applications
|Target gene expression changes may affect oncogenic pathways
|}
|}
==Characteristic Chromosomal Patterns==
==Genetic Abnormalities: Somatic==
Put your text here <span style="color:#0070C0">(''EXAMPLE PATTERNS: hyperdiploid; gain of odd number chromosomes including typically chromosome 1, 3, 5, 7, 11, and 17; co-deletion of 1p and 19q; complex karyotypes without characteristic genetic findings; chromothripsis'')</span>
Put your text here and fill in the table <span style="color:#0070C0">(''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.'')</span>
{| class="wikitable sortable"
{| class="wikitable sortable"
|-
|-
!Chromosomal Pattern
!Gene!!Genetic Variant or Variant Type!!Molecular Pathogenesis!!Inheritance, Penetrance, Expressivity
!Diagnostic Significance (Yes, No or Unknown)
!Prognostic Significance (Yes, No or Unknown)
!Therapeutic Significance (Yes, No or Unknown)
!Notes
!Notes
|-
|-
|EXAMPLE
|<span class="blue-text">EXAMPLE:</span> ''BRCA1''||<span class="blue-text">EXAMPLE:</span> Biallelic inactivation variants||<span class="blue-text">EXAMPLE:</span> Second hit mutation can occur as copy neutral LOH, inactivating mutation, deletion, promoter hypermethylation, or a structural abnormality disrupting the gene.||
Co-deletion of 1p and 18q
|
|Yes
|No
|No
|EXAMPLE:
See chromosomal rearrangements table as this pattern is due to an unbalanced derivative translocation associated with oligodendroglioma (add reference).
|}
==Gene Mutations (SNV / INDEL)==
Put your text here and fill in the table <span style="color:#0070C0">(''Instructions: This table is not meant to be an exhaustive list; please include only genes/alterations that are recurrent and common as well either disease defining and/or clinically significant. Can include references in the table. For clinical significance, denote associations with FDA-approved therapy (not an extensive list of applicable drugs) and NCCN or other national guidelines if applicable; Can also refer to CGC workgroup tables as linked on the homepage if applicable as well as any high impact papers or reviews of gene mutations in this entity.'') </span>
{| class="wikitable sortable"
|-
|-
!Gene; Genetic Alteration!!'''Presumed Mechanism (Tumor Suppressor Gene [TSG] / Oncogene / Other)'''!!'''Prevalence (COSMIC / TCGA / Other)'''!!'''Concomitant Mutations'''!!'''Mutually Exclusive Mutations'''
|<span class="blue-text">EXAMPLE:</span> ''BRCA1''
!'''Diagnostic Significance (Yes, No or Unknown)'''
|<span class="blue-text">EXAMPLE:</span> Reversion mutation
!Prognostic Significance (Yes, No or Unknown)
|<span class="blue-text">EXAMPLE:</span> After exposure to certain therapies (e.g. PARP inhibitors), a second mutation may restore gene function as a resistance mechanism.
!Therapeutic Significance (Yes, No or Unknown)
|
!Notes
|
|-
|-
|EXAMPLE: TP53; Variable LOF mutations
EXAMPLE:
EGFR; Exon 20 mutations
EXAMPLE: BRAF; Activating mutations
|EXAMPLE: TSG
|EXAMPLE: 20% (COSMIC)
EXAMPLE: 30% (add Reference)
|EXAMPLE: IDH1 R123H
|EXAMPLE: EGFR amplification
|
|
|
|
|
|
|EXAMPLE:  Excludes hairy cell leukemia (HCL) (add reference).
|
|}Note: A more extensive list of mutations can be found in cBioportal (https://www.cbioportal.org/), COSMIC (https://cancer.sanger.ac.uk/cosmic), ICGC (https://dcc.icgc.org/) and/or other databases. When applicable, gene-specific pages within the CCGA site directly link to pertinent external content.
|
==Epigenomic Alterations==
|}
Put your text here
==Genes and Main Pathways Involved==
==Genes and Main Pathways Involved==
Put your text here and fill in the table <span style="color:#0070C0">(''Instructions: Can include references in the table.'')</span>
Put your text here and fill in the table <span style="color:#0070C0">(''Instructions: Please include references throughout the table. Do not delete the table.)''</span>
{| class="wikitable sortable"
{| class="wikitable sortable"
|-
|-
!Gene; Genetic Alteration!!Pathway!!Pathophysiologic Outcome
!Gene; Genetic Alteration!!Pathway!!Pathophysiologic Outcome
|-
|-
|EXAMPLE: BRAF and MAP2K1; Activating mutations
|''MAP3K1''
|EXAMPLE: MAPK signaling
|MAPK/ERK pathway
|EXAMPLE: Increased cell growth and proliferation
|Alters cell survival and signal transduction
|-
|-
|EXAMPLE: CDKN2A; Inactivating mutations
|''FGFR2''
|EXAMPLE: Cell cycle regulation
|FGF signaling
|EXAMPLE: Unregulated cell division
|Increases proliferation
|-
|-
|EXAMPLE:  KMT2C and ARID1A; Inactivating mutations
|''TOX3''
|EXAMPLE:  Histone modification, chromatin remodeling
|Chromatin remodeling
|EXAMPLE:  Abnormal gene expression program
|Affects transcriptional regulation and stress response
|-
|''ESR1''
|Estrogen receptor signaling
|Modulates hormonal response in luminal cells
|-
|CDKN2B
|Cell cycle checkpoint
|Dysregulates cell cycle progression
|}
|}
==Genetic Diagnostic Testing Methods==
==Genetic Diagnostic Testing Methods==
Put your text here
Polygenic risk is assessed through genotyping panels or whole-genome SNP arrays followed by computational calculation of the PRS<ref>{{Cite journal|last=Sawyer|first=Sarah|last2=Mitchell|first2=Gillian|last3=McKinley|first3=Joanne|last4=Chenevix-Trench|first4=Georgia|last5=Beesley|first5=Jonathan|last6=Chen|first6=Xiao Qing|last7=Bowtell|first7=David|last8=Trainer|first8=Alison H.|last9=Harris|first9=Marion|date=2012-12-10|title=A role for common genomic variants in the assessment of familial breast cancer|url=https://pubmed.ncbi.nlm.nih.gov/23109704|journal=Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology|volume=30|issue=35|pages=4330–4336|doi=10.1200/JCO.2012.41.7469|issn=1527-7755|pmid=23109704}}</ref><ref>{{Cite journal|last=Dite|first=Gillian S.|last2=MacInnis|first2=Robert J.|last3=Bickerstaffe|first3=Adrian|last4=Dowty|first4=James G.|last5=Allman|first5=Richard|last6=Apicella|first6=Carmel|last7=Milne|first7=Roger L.|last8=Tsimiklis|first8=Helen|last9=Phillips|first9=Kelly-Anne|date=2016-02|title=Breast Cancer Risk Prediction Using Clinical Models and 77 Independent Risk-Associated SNPs for Women Aged Under 50 Years: Australian Breast Cancer Family Registry|url=https://pubmed.ncbi.nlm.nih.gov/26677205|journal=Cancer Epidemiology, Biomarkers & Prevention: A Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|volume=25|issue=2|pages=359–365|doi=10.1158/1055-9965.EPI-15-0838|issn=1538-7755|pmc=4767544|pmid=26677205}}</ref><ref name=":1" />.
==Familial Forms==
Put your text here <span style="color:#0070C0">(''Instructions: Include associated hereditary conditions/syndromes that cause this entity or are caused by this entity.'') </span>
==Additional Information==
==Additional Information==
Put your text here
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<ref>{{Cite journal|last=Kuchenbaecker|first=Karoline B.|last2=McGuffog|first2=Lesley|last3=Barrowdale|first3=Daniel|last4=Lee|first4=Andrew|last5=Soucy|first5=Penny|last6=Dennis|first6=Joe|last7=Domchek|first7=Susan M.|last8=Robson|first8=Mark|last9=Spurdle|first9=Amanda B.|date=2017-07-01|title=Evaluation of Polygenic Risk Scores for Breast and Ovarian Cancer Risk Prediction in BRCA1 and BRCA2 Mutation Carriers|url=https://pubmed.ncbi.nlm.nih.gov/28376175|journal=Journal of the National Cancer Institute|volume=109|issue=7|pages=djw302|doi=10.1093/jnci/djw302|issn=1460-2105|pmc=5408990|pmid=28376175}}</ref>.
 
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<ref>{{Cite journal|last=Kuchenbaecker|first=Karoline B.|last2=McGuffog|first2=Lesley|last3=Barrowdale|first3=Daniel|last4=Lee|first4=Andrew|last5=Soucy|first5=Penny|last6=Dennis|first6=Joe|last7=Domchek|first7=Susan M.|last8=Robson|first8=Mark|last9=Spurdle|first9=Amanda B.|date=2017-07-01|title=Evaluation of Polygenic Risk Scores for Breast and Ovarian Cancer Risk Prediction in BRCA1 and BRCA2 Mutation Carriers|url=https://pubmed.ncbi.nlm.nih.gov/28376175|journal=Journal of the National Cancer Institute|volume=109|issue=7|pages=djw302|doi=10.1093/jnci/djw302|issn=1460-2105|pmc=5408990|pmid=28376175}}</ref>.
==Links==
==Links==
Put your text placeholder here (or anywhere appropriate on the page) and use the "Link" icon at the top of the page <span style="color:#0070C0">(''Instructions: Once you have a text placeholder entered to which you want to add a link, highlight that text, select the "Link" icon at the top of the page, and search the name of the internal page to which you want to link this text, or enter an external internet address including the "<nowiki>http://www</nowiki>." portion.'')</span>
Put a link here or anywhere appropriate in this page <span style="color:#0070C0">(''Instructions: Highlight the text to which you want to add a link in this section or elsewhere, select the "Link" icon at the top of the wiki page, and search the name of the internal page to which you want to link this text, or enter an external internet address by including the "<nowiki>http://www</nowiki>." portion.'')</span>
==References==
==References==
(use the "Cite" icon at the top of the page) <span style="color:#0070C0">(''Instructions: Add each reference into the text above by clicking on where you want to insert the reference, selecting the “Cite” icon at the top of the page, and using the “Automatic” tab option to search such as by PMID to select the reference to insert. The reference list in this section will be automatically generated and sorted.''</span> <span style="color:#0070C0">''If a PMID is not available, such as for a book, please use the “Cite” icon, select “Manual” and then “Basic Form”, and include the entire reference''</span><span style="color:#0070C0">''.''</span><span style="color:#0070C0">) </span><references />
[[Category:BRST5]]
[[Category:DISEASE]]
<references />
==Notes==
<nowiki>*</nowiki>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 [[Leadership|''<u>Associate Editor</u>'']] 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.  


'''EXAMPLE Book'''
Prior Author(s):  
 
#Arber DA, et al., (2017). Acute myeloid leukaemia with recurrent genetic abnormalities, in World Health Organization Classification of Tumours of Haematopoietic and Lymphoid Tissues, Revised 4th edition. Swerdlow SH, Campo E, Harris NL, Jaffe ES, Pileri SA, Stein H, Thiele J, Arber DA, Hasserjian RP, Le Beau MM, Orazi A, and Siebert R, Editors. IARC Press: Lyon, France, p129-171.
 
==Notes==
<nowiki>*</nowiki>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 CCGA coordinators (contact information provided on the homepage).  Additional global feedback or concerns are also welcome. <nowiki>*</nowiki>''Citation of this Page'': “Clonal haematopoiesis”. Compendium of Cancer Genome Aberrations (CCGA), Cancer Genomics Consortium (CGC), updated {{REVISIONMONTH}}/{{REVISIONDAY}}/{{REVISIONYEAR}}, <nowiki>https://ccga.io/index.php/HAEM5:Clonal_haematopoiesis</nowiki>.

Latest revision as of 10:10, 28 June 2025

Breast Tumours (WHO Classification, 5th ed.)

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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

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Gene Genetic Variant or Variant Type Molecular Pathogenesis Inheritance, Penetrance, Expressivity Notes
Multiple Genes(FGFR2, MAP3K1, TOX3 etc) Many SNPs (Common, minor allele frequency >1%) Affect regulatory region or epigenetics rather than traditional oncogenes/tumor suppressor genes complex inheritance: non-Mendelian, polygenic pattern; their effects are additive or multiplicative and are often influenced by environment; Penetrance: each SNP confer very modest risk (<1.3 fold), but cumulative penetrance increases with a higher PRS; Expressivity: variable. PRS may influence age of onset, tumor subtype or morphology

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
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

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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
MAP3K1 MAPK/ERK pathway Alters cell survival and signal transduction
FGFR2 FGF signaling Increases proliferation
TOX3 Chromatin remodeling Affects transcriptional regulation and stress response
ESR1 Estrogen receptor signaling Modulates hormonal response in luminal cells
CDKN2B Cell cycle checkpoint Dysregulates cell cycle progression

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):