Overview

This lecture covers how genetics is used clinically in cancer, moving from risk to treatment. It starts with the genetic architecture of cancer risk (somatic versus germline change, sporadic versus familial versus hereditary disease), then works through three high-penetrance syndromes in detail (BRCA1/BRCA2 hereditary breast-ovarian cancer, hereditary diffuse gastric cancer and Lynch syndrome), showing for each the gene, the protein function lost, the resulting cancer risk and the surveillance or surgical management that follows. It then recaps breast cancer pathology (histological type, grade, ER/PR/HER2 status) and closes with genomic management of established tumours: targeting HER2 with Herceptin, predicting chemotherapy benefit with Oncotype DX, and tumour panel sequencing to find actionable alterations. The unifying idea is that a defined molecular defect in a tumour or germline predicts both risk and the therapy that will work.

Course context and assessment

Where this sits in Genetics Semester 2 (Assoc. Prof. Anita Dunbier, convenor): it follows the Clinical Genetics lecture (Prof Stephen Robertson, 15 July), the Genetics intro/assignment/HHC lecture and Tutorial 4 (haemochromatosis), the Cancer Genetics lectures (Prof Parry Guilford, 13 and 21 August), the molecular diagnosis and prognosis lecture (CF and cancer, 14 August), Tutorial 5 (CF screening, diagnosis and CF case), and the colorectal clinical demonstration (Prof Chris Jackson, 21 August). It is followed by the Respiratory module (25 August), Tutorial 6 (Cancer Genetics), the Specific Genetic Disorder Report (due 15 Sept, 7pm, 5%) and Tutorial 7 (presentations). Stated linkages: Screening Public Health, CF case, Ethics in Genetics, Blood/iron overload, Clinical Genetics lecture, Cancer vertical module, colorectal cancer case, BIOC192 haemochromatosis lab.

Overarching Genetics aims most relevant to this lecture (aims 4 to 7 of 7): describe the importance of genetic predisposition in relation to multifactorial aetiology of disease; describe approaches to investigation and management of genetic disorders including ethical considerations; describe the somatic and inherited genetic contribution to the pathogenesis of cancer; understand how novel genetic research is interpreted, evaluated in a clinical context and applied to patient care. The other three aims (chromosomal abnormalities, Mendelian disorders, population genetics) belong to earlier lectures.

Aims of Tutorial 6 (Cancer Genomics and the Management of Cancer), which this lecture feeds: carry out a basic assessment of inherited cancer risk; outline the characteristics of inherited cancer and key principles of its clinical management; understand how tumour genome copy number changes and rearrangements can create dependence on specific growth pathways; describe how alterations in the tumour genome produce targets for therapy; understand how gene expression analyses give prognostic information; be aware that primary and metastatic cancers can differ molecularly; describe how analysis of circulating tumour DNA has the potential to monitor metastatic cancer and identify therapies.

The tutorial group talk (week starting 15 Sept) should focus on presentation of the disorder, the red flags that might indicate it, and current and future diagnosis and treatment, pitched so classmates can understand it. It should identify features of interest to the class: likely presentation, interesting genetic aspects, ethical aspects.

Cancer by numbers and the heritability of cancer

Key points:

  • Cancer is New Zealand’s biggest killer. Approximately 1 in 3 people will die from cancer.
  • Only about 3 to 6 mutations are sufficient to cause initiation and progression, yet some tumours carry thousands of mutations.
  • Breast cancer is currently the most common cancer, with a 1 in 8 lifetime risk for women. Colorectal and prostate cancers are also frequent.
  • Heritability split: approximately 80% of cancers are sporadic, 5% arise in highly penetrant inherited cancer syndromes, and 15% in lowly penetrant inherited syndromes.
  • Penetrance is the likelihood that carriers of a mutation will develop cancer.

Cancer is a genetic disease in two distinct ways:

  1. Cancer cells contain a large number of alterations from the normal genome, that is, somatic mutations.
  2. Cancer can cluster within families, through germline pathogenic variants.

Germline versus somatic variants:

Somatic DNA changesGermline DNA changes
When/where they ariseAcquired over a person’s lifetime, in single cellsPresent in every cell of the body, including egg and sperm
EffectCan lead to cancerCan increase cancer susceptibility
InheritanceCannot be inheritedCan be inherited

Genetic architecture of cancer risk: plotting allele frequency against relative risk (1, 2, 5, greater than or equal to 10) gives an inverse relationship. Common variants sit at high allele frequency with low penetrance and low relative risk; rare variants of moderate penetrance sit in the middle; rare variants of high penetrance sit at low allele frequency with high relative risk, forming a long tail.

Distinguishing sporadic, familial and hereditary cancer

Three types of familial association are distinguished: sporadic, familial (family history) and hereditary (family history).

Worked pedigree cases from the lecture:

  • Case 1 (sporadic): a single affected woman, breast cancer at 67, with no other affected relatives. One isolated case, no clustering.
  • Case 2 (familial): a grandmother with breast cancer at 73 (deceased) and her granddaughter with breast cancer at 67. Two affected relatives on the same side of the family, but no tight hereditary pattern.
  • Case 3 (hereditary): four affected individuals on one side of the family across three generations, comprising a grandmother with ovarian cancer at 45 (deceased), her daughter with breast cancer at 52, and two granddaughters, one with breast cancer at 38 and one with two primary breast cancers at 32 and 43. Multiple affected members, early onset, across generations, with multiple primaries in one woman.

Hereditary cancer key points:

  • High incidence in family groups.
  • Predominance of particular cancer types.
  • Early age of onset.
  • Increased risk of multifocal or bilateral disease.
  • Inherited as autosomal dominant with incomplete penetrance.

The familial pattern is defined by contrast: late age at onset, more affected family members, but no specific pattern of inheritance. The higher risk there is based on environmental and genetic risk factors, not on one specific defective gene passed down through the family.

Classic pedigrees for comparison:

  • Classic BRCA1 pedigree: clustering of early-onset breast and ovarian cancer across generations (ovarian dx 49, breast dx 42, ovarian dx 53, breast dx 38).
  • Classic BRCA2 pedigree: early onset with a wider spread of cancer types, including male prostate and pancreatic cancer (prostate dx 55, breast dx 45 with pancreatic dx 55, ovarian dx 58, breast dx 52).

High penetrance inherited cancer syndromes

Syndrome, gene(s) and major tissue affected. The three in bold are this lecture’s focus.

SyndromeGene(s)Major tissue
Ataxia telangiectasiaATMHaemopoietic
Bloom syndromeBLMHaemopoietic
Cowden syndromePTENBreast, thyroid, endometrial
Familial adenomatous polyposisAPC, MUTYHColorectal
Familial malignant melanomaCDKN2A, CMM1, CDK4Skin
Fanconi anaemiaFANC A to LHaemopoietic, liver
Hereditary breast-ovarian cancerBRCA1, BRCA2Breast, ovary
Hereditary diffuse gastric cancer (HDGC)CDH1Stomach, breast
Lynch syndromeMLH1, MSH2, MSH6, PMS2Colorectal
Hereditary papillary renal cell carcinomaMETKidney
Juvenile polyposisSMAD4, BMPR1A, ENGGastrointestinal tract
Li-FraumeniTP53Sarcomas, breast, brain
Multiple endocrine neoplasia type 1MEN1Parathyroid, pituitary
Multiple endocrine neoplasia type 2RETThyroid
Neurofibromatosis type 1NF1Neural, optic
Neurofibromatosis (NF2 row, see warning)NF2Brain, spinal cord
Nevoid basal cell carcinomaPTCSkin
Nijmegen breakage syndromeNBS1B cells
Peutz-Jeghers syndromeSTK11Colorectal
RetinoblastomaRB1Retina
Testicular cancerTCG1Testes
Tuberous sclerosisTSC1, TSC2Broad, angiofibromas
Von Hippel-Lindau syndromeVHLKidney
Xeroderma pigmentosumXPA, XPC, XPE, ERCC3-5Kidney

Warning

The slide lists two rows as “neurofibromatosis type 1”, the second against gene NF2. This appears to be a labelling error on the original slide (NF2 is the gene of neurofibromatosis type 2); the row is recorded as shown rather than corrected.

Familial breast cancer: BRCA1 and BRCA2

High penetrance genes, both DNA repair genes:

BRCA1BRCA2
FunctionDNA repair geneDNA repair gene
Incidence1 in 500 to 1000 (1 in 100 in Ashkenazi Jews, 2 founder mutations)1 in 600 to 800; also more common in Ashkenazi Jews
Breast cancer lifetime risk60 to 85%40 to 85%
Ovarian cancer risk40 to 60%Less than 30%

Other breast cancer risk genes:

  • TP53 (Li-Fraumeni syndrome).
  • CDH1 (hereditary diffuse gastric cancer).
  • ATM, CHEK2, BRIP1, PALB2, double-stranded DNA damage repair genes, which roughly double breast cancer risk.
  • Tens of low penetrance genes.

How loss of BRCA leads to cancer

In a carrier, normal tissue is heterozygous (BRCA1/2 +/mut) while tumour tissue is BRCA1/2 mut/mut. Common tumour sites are breast and ovary; less common sites are stomach, prostate, pancreas, colon and leukaemia.

Wild-type BRCA1/BRCA2 supports three repair functions, all converging on cell survival and maintained genome integrity:

  1. Homologous recombination repair, with BRCA1, BRCA2 and RAD51 assembling at a DNA break.
  2. Protection of stalled replication forks, with BRCA1, RAD51 and BRCA2 blocking nuclease degradation of the fork.
  3. Crosslink repair, with BRCA1, the Fanconi complex and BRCA2 excising the crosslink.

In BRCA1/BRCA2 mutant cells the sequence is:

  1. Replication fork collapse and DNA breaks.
  2. Use of non-conservative DNA repair pathways instead (for example single-strand annealing, and NHEJ/alternative end joining).
  3. Genomic aberrations: radial chromosomes, deletions, translocations.
  4. Genomic instability, cell death, cancer.

Synthetic lethality and PARP inhibition

BRCA status can be exploited therapeutically. Two repair routes are relevant: base excision repair via PARP1, and homologous recombination via BRCA. Outcomes at a DNA double-strand break:

Cell stateBase excision repair (PARP1)Homologous recombination (BRCA)Outcome
Normal cellsActiveActiveRepair
BRCA mutation aloneActiveInactiveRepair, via the remaining PARP1 pathway
Drug-induced PARP1 inhibition aloneInactiveActiveRepair, via the remaining BRCA pathway
BRCA mutation plus PARP1 inhibitionInactiveInactiveNo repair, cell death

Losing either pathway alone is survivable; losing both at once is lethal. This is synthetic lethality, and it is the principle exploited by PARP inhibitors in BRCA-mutant tumours.

BRCA1/2 clinical management

  • Surveillance: clinical breast exam every 6 to 12 months from 25 years; annual mammography or MRI from about 30 years.
  • Prophylactic/risk-reducing surgery: mastectomy gives 90% risk reduction (not complete, because of residual tissue); oophorectomy gives 90% risk reduction if performed before 45 years.
  • Chemoprevention: tamoxifen and aromatase inhibitors give 40% breast cancer risk reduction; tamoxifen carries an increased endometrial cancer risk.

Referral criteria for breast cancer genetic testing

From the EVIQ protocols followed by Genetic Services NZ (flagged as relevant to Tutorial 6).

Personal history:

  • Triple negative breast cancer (ER, PR and HER2 negative) diagnosed under 50.
  • High grade, non-mucinous, epithelial ovarian, fallopian tube or primary peritoneal cancer.
  • Lobular breast cancer AND a family history of lobular breast or diffuse-type stomach cancer.
  • Breast cancer diagnosed under 40.
  • Male breast cancer diagnosed at any age.
  • Breast and ovarian primary cancers at any age.
  • Two primary breast cancers where the first occurred under 50.
  • Breast cancer plus a personal or family history of Peutz-Jeghers syndrome, PTEN hamartoma syndrome or Li-Fraumeni syndrome.

Family history: two first or second degree relatives diagnosed with breast or ovarian cancer, PLUS one or more of the following on the same side of the family:

  • Additional relative(s) with breast or ovarian cancer.
  • Breast cancer diagnosed under 50.
  • More than one primary breast cancer in the same woman.
  • Breast and ovarian cancer in the same woman.
  • Ashkenazi (Eastern European) Jewish ancestry.
  • Male breast cancer.

Hereditary diffuse gastric cancer (HDGC)

Key points:

  • Dominant inheritance.
  • Incidence 5 to 10 per 100,000, with a 5 times higher rate in Māori.
  • Caused by germline CDH1 mutations. CDH1 encodes the cell-to-cell adhesion protein E-cadherin.
  • Very rare CTNNA1 mutations also cause it.
  • Up to 70% penetrance for advanced diffuse gastric cancer.
  • Approximately 40% risk of lobular breast cancer.

The affected structure is the adherens junction between adjacent cell membranes: E-cadherin spans the intercellular gap and is anchored intracellularly by CTNNA1 (alpha-catenin) and beta-catenin, forming repeating junctional units down the membrane.

HDGC clinical management

  • CDH1 genetic testing from over 16 years.
  • Annual surveillance endoscopy, or prophylactic gastrectomy from over 20 years.
  • Annual breast surveillance by MRI.
  • Consider risk-reducing mastectomy.
  • Different paths depending on family history and severity of mutation.

2020 Wanaka IGCLC genetic testing criteria

Abbreviations: GC gastric cancer; DGC diffuse gastric cancer; HDGC hereditary diffuse gastric cancer; LBC lobular breast cancer; HLBC hereditary lobular breast cancer; PTG prophylactic total gastrectomy; TG total gastrectomy; BRRM bilateral risk-reducing mastectomy.

Pathway: criteria met, then genetic testing for CDH1 and CTNNA1 (alternative testing routes noted for cleft lip/palate, multigene panel test, validated direct-to-consumer test). Three result branches:

  1. Negative. Ask: does the family history meet genetic testing criteria 1 or 2? If no, likely sporadic DGC or LBC. If yes, classify as HDGC-like and consider annual gastric surveillance for at least 2 years (interval may increase after 2 years; PTG not advised), annual breast surveillance, and breast management based on individualised assessment.
  2. Positive, that is a pathogenic CDH1 variant carrier. Ask: DGC in the family?
    • Yes: HDGC. Recommend PTG; if declined or delayed, offer annual surveillance with reduced emphasis on PTG where the family history is weak, and TG on a positive biopsy. Annual breast surveillance (MRI). Consider bilateral risk-reducing mastectomy with or without reconstruction.
    • No: then ask, breast cancer in the family? If yes (with changes to family history), classify as HLBC: annual gastric surveillance, TG on positive biopsy, consider PTG, annual breast surveillance, consider BRRM. If no: annual gastric surveillance and TG on positive biopsy.
  3. Uncertain, that is a CDH1 variant of unknown significance. Consider annual gastric surveillance for at least 2 years, after which the interval may increase; PTG not advised; breast management based on individualised assessment.

Lynch syndrome (HNPCC)

Key points:

  • Lynch syndrome, also called hereditary nonpolyposis colorectal cancer (HNPCC), is an inherited disorder increasing the risk of colon cancer and other cancers including endometrial, ovarian and stomach.
  • Prevalence approximately 1 in 300 individuals.
  • Key feature: early onset colorectal cancer, often before age 50.
  • Caused by inherited mutations in one of the mismatch repair (MMR) genes: MLH1, MSH2, MSH6, PMS2 or EPCAM.
  • These genes repair DNA replication errors; mutations lead to microsatellite instability (MSI), increasing cancer risk.
  • Autosomal dominant: only one mutated copy is needed to increase cancer risk.
  • Tumours show increased responsiveness to immunotherapies.

DNA mismatch repair, in order:

  1. Mismatch recognition: a mismatched base pair on the daughter/parent duplex is recognised and MutS binds.
  2. Strand discrimination: MutS is joined by MutL and MutH, identifying which strand is newly synthesised.
  3. Strand excision and re-synthesis restores the correct sequence.

Microsatellite instability

  • Microsatellites are short repetitive DNA sequences (for example , , ) scattered throughout the genome.
  • During replication these repetitive sequences are prone to errors such as insertions or deletions, caused by strand slippage.
  • In a normal cell the MMR system corrects these errors.
  • The resulting instability in microsatellite length is called microsatellite instability (MSI). Unrepaired errors produce either expansion or shortening of the microsatellite.
  • Consequently MSI is a surrogate marker for response to immunotherapies.

Neo-antigens

  • Neo means new; an antigen is a structure specifically bound by antibodies. Antigens are the unique molecules or proteins that help immune cells identify and fight cancer cells, and neoantigens are unique to each patient’s tumour cells.
  • Neoantigens derive from somatic mutations that produce modified or novel peptide sequences within a tumour cell’s repertoire of expressed proteins.
  • T-cell receptors (TCRs) are molecules on the surface of cancer-fighting T cells that can interrogate individual cancer cells and see beneath the cell membrane. A T cell binds the neoantigen displayed on the tumour cell surface via its TCR.

Sources of potential neoantigens: single nucleotide variants (SNV), insertions/deletions, spliced peptides, translocations, post-translational modifications. Each alters a DNA/protein sequence which is then processed and presented as a peptide on an MHC-like anchor.

Two experimental approaches identify them:

  • Whole exome plus transcriptome sequencing: identification of tumour-specific genomic alterations; determination of clonal mutations; epitope prediction.
  • MS-based immunopeptidomics: identification of abundantly expressed mutated ligands; identification of post-translationally modified peptides.

Both converge on selection of potential neoepitopes for therapeutic purposes, leading to: immunogenicity assessment (functional analysis of patient-derived T cells); enrichment of neoantigen-specific T cells; TCR isolation and characterisation (from patients and HLA-matched healthy donors); and vaccination approaches (RNA, peptides, dendritic cells).

Warning

The immune checkpoint blockade slide carries only an unlabelled molecular render of a receptor-ligand interaction bridging two cell membranes at an immune synapse. No specific checkpoint molecules (for example PD-1/PD-L1 or CTLA-4) are named on the slide, so no mechanism detail is available. [slide does not elaborate]

Breast cancer pathology recap

Adenocarcinoma subtypes: ductal carcinoma, lobular carcinoma, tubular carcinoma, medullary carcinoma, mucinous carcinoma, cribriform carcinoma.

Tumour grading and survival:

Grade5 year survival7 year survivalExample
Grade 195%90%Tubular carcinoma
Grade 275%63%
Grade 350%45%Ductal carcinoma

Receptor status:

  • In modern practice approximately 75% of breast cancers are oestrogen receptor positive (ER+).
  • Oestrogen antagonism or withdrawal reduces tumour cell proliferation in ER+ breast cancers.
  • The progesterone receptor is also prognostic for response to endocrine therapy.
  • HER2 overexpression is both prognostic and predictive. Approximately 25% of breast cancers are HER2 positive.

Oestrogen signalling

Steps in order:

  1. Oestradiol crosses the cell membrane.
  2. It binds the oestrogen receptor.
  3. Receptor-hormone complexes dimerise.
  4. The dimer translocates to the nucleus, where it takes one of two routes:
    • Recruit a corepressor complex (Sin3, NCOR, HDACs), silencing transcription.
    • Bind the oestrogen response element (ERE) with coactivators (TAFs, TBP, p300, CBP, TFII, RNA Pol II), driving transcription of Myc, Cyclin D1, Cyclin E1 and Cyclin E2.
  5. The transcriptional route leads to cell growth and proliferation.

HER2 as a target

  • The normal breast cell carries sparse HER2 receptors, transcribed from a single-copy ERBB2 gene on chromosome 17; growth factor binding triggers activation of signalling pathways into the nucleus.
  • In HER2 positive cancer the ERBB2 gene segment on chromosome 17 is amplified, producing much more messenger RNA and a cell surface densely studded with HER2 protein, so growth factor binding drives excessive growth signalling.
  • Herceptin, an antibody, binds the HER2/neu receptors: it prevents growth factor binding and activates an immune response, giving no signalling into the nucleus, so growth slows.

Interpreting pathology reports

  • Different scoring systems may be used, for example the Allred score or percentage staining.
  • It is crucial to know whether a result is positive, negative or other.
  • Staining may be reported as strong or weak.
  • HER2 is evaluated by immunohistochemistry as 1+, 2+ or 3+.
  • If 2+ (equivocal), FISH (fluorescence in situ hybridisation) is needed to determine whether gene amplification has occurred. The level of the gene of interest is compared to a control probe to give a relative amount.
  • On ERBB2 FISH, a positive nucleus shows dense clusters of red signal, many more red than green; a negative nucleus shows sparse, roughly equal red and green signals, that is a normal red:green ratio.

Genomic management of cancer: Oncotype DX

Background:

  • Paik et al. (2004), NEJM 351, 2817.
  • Developed commercially from a candidate panel of 250 genes.
  • Current list price USD 4,620.
  • Since 2004 used by over 10,000 physicians to guide treatment for over 200,000 patients in more than 60 countries.
  • It answers the clinical question “chemo or no chemo?”.

The assay:

  • PCR-based (RT-PCR) quantification of tumour mRNA for 21 genes, producing a Recurrence Score between 0 and 100.
  • Six gene categories feed the score: Proliferation (Ki-67, STK15, Survivin, Cyclin B1, MYBL2); Invasion (Stromelysin 3, Cathepsin L2); HER2 (GRB7, HER2); Estrogen (ER, PR, Bcl2, SCUBE2); Reference (Beta-actin, GAPDH, RPLPO, GUS, TFRC); Other (GSTM1, CD68, BAG1).

Basic risk bands: less than 18 low recurrence risk; 18 to 25 moderate; greater than 25 high.

Uses:

  • Assess risk of recurrence in early-stage ER+ breast cancer, and the likely benefit from chemotherapy after breast cancer surgery.
  • Assess risk of DCIS (ductal carcinoma in situ) recurrence and/or risk of a new invasive cancer developing in the same breast, plus likelihood of benefit from radiation therapy after DCIS surgery.

Age-stratified chemotherapy decision thresholds:

Age groupRecurrence ScoreInterpretation
Older than 500 to 25Low risk of recurrence; chemotherapy benefits likely will not outweigh side-effect risks
Older than 5026 to 100High risk; chemotherapy benefits likely greater than the risks
50 and younger0 to 15Low risk; chemotherapy benefits likely will not outweigh the risks
50 and younger16 to 20Low to medium risk; chemotherapy benefits likely will not outweigh the risks
50 and younger21 to 25Medium risk; chemotherapy benefits likely greater than the risks
50 and younger26 to 100High risk; chemotherapy benefits likely greater than the risks

Validation data (Dowsett et al., J Clin Oncol 2010; 28(11):1829-1834)

Proportion distant recurrence free over 0 to 9 years, split by Low/Intermediate/High score group, log-rank P less than .001 in both cohorts.

CohortGroupn (%)EventsApprox. endpoint recurrence-freeHazard ratio (95% CI)
Node negativeLow513 (59%)20~96%reference
Node negativeIntermediate229 (26%)24~88%2.5 (1.3 to 4.5) v Low
Node negativeHigh130 (15%)28~75%5.2 (2.7 to 10.1) v Low
Node positiveLow160 (52%)25~83%reference
Node positiveIntermediate94 (31%)25~72%1.8 (1.0 to 3.2) v Low
Node positiveHigh52 (17%)24~51%2.7 (1.5 to 5.1) v Low

Example clinical report

A sample Oncotype DX Breast Recurrence Score report shows a Recurrence Score result of 17. The report states that the test uses RT-PCR to determine expression of a 21-gene panel in tumour tissue, with results ranging 0 to 100, and that the findings apply to women with ER+ breast cancer and 1 to 3 positive nodes who will be treated with 5 years of hormonal therapy. The clinical experience data come from the SWOG 8814 validation study of 367 post-menopausal patients with node-positive, ER+ breast cancer randomised to tamoxifen alone or CAF chemotherapy followed by tamoxifen, with 5-year disease-free survival as the endpoint. Three studies in more than 4,000 contemporary patients with 1 to 3 positive nodes reported low rates (under 4%) of 5-year distant recurrence and/or breast-cancer-specific mortality in patients with Recurrence Score results below 12 (PlanB) and below 18 (Clalit and SEER) treated with hormonal therapy alone (tamoxifen or an aromatase inhibitor). For 1 to 3 positive nodes, the 5-year risk of recurrence or mortality was 11% (95% CI 7% to 18%) with tamoxifen alone and 12% (95% CI 8% to 18%) with tamoxifen plus chemotherapy.

Health-system impact (BioWorld, 26 April 2019, Annette Boyle): a study by the Georgetown Lombardi Comprehensive Cancer Center and the National Cancer Institute, published in JNCI, indicated that Oncotype DX-guided treatment could cut the cost of first-year breast cancer care in the US by USD 50 million and allow 70% of breast cancer patients to skip chemotherapy. Oncotype DX is produced by Genomic Health Inc. of Redwood City, California.

Cancer precision medicine via panel gene sequencing

Panel sequencing tests many cancer genes at once in a tumour sample. FoundationOne sequences 315 cancer genes per tumour, plus a separate set of genes tested for structural rearrangements. Genes on the panel relevant to this lecture include BRCA1, BRCA2, ATM, CHEK2, PALB2, MLH1, MSH2, MSH6, PMS2, PTEN, TP53, RB1, VHL, NF1, NF2, MET, EGFR and ERBB2 (HER2). [The full panel gene list on the slide is not exhaustively transcribed; it contains well over a hundred further gene symbols in small print.]

What a report contains, using the lecture’s sample FoundationOne report (a bladder urothelial/transitional cell carcinoma):

  • Header fields: patient name, date of birth, sex, report date, medical facility, ordering physician, tumour type, specimen received/site/date of collection/type, FMI case number, medical record number, medical facility ID, specimen ID.
  • About the test: FoundationOne is a next-generation sequencing (NGS) based assay identifying genomic alterations within hundreds of cancer-related genes.
  • Patient results summary: 9 genomic findings; 9 therapies associated with potential clinical benefit; 0 therapies associated with lack of response; 10 clinical trials.
  • Genomic alterations identified: EGFR amplification; LRP1B splice site 1553-2A>T and splice site 2887+1G>T; NOTCH2 H1300fs15; RBM10 K653fs51; SETD2 splice site 6061-1G>T; SMARCA4 Q338*; TP53 R337L.
  • Additional findings: tumour mutation burden TMB-High, 20.76 mutations/Mb.
  • Therapeutic implications table, listing for each finding the FDA-approved therapies in the patient’s own tumour type, FDA-approved therapies in another tumour type, and potential clinical trials:
    • TMB-High (20.76 Muts/Mb): none in this tumour type; atezolizumab, nivolumab, pembrolizumab in another tumour type; clinical trials available.
    • EGFR amplification: none in this tumour type; afatinib, cetuximab, erlotinib, gefitinib, lapatinib, panitumumab in another tumour type; clinical trials available.
    • LRP1B splice site variants: none, none, none.
    • NOTCH2 H1300fs*15: none, none, none.

Important

The pattern to take from the sample report is that most actionable findings led to therapies approved in a different tumour type rather than the patient’s own, so the practical output of panel sequencing is often an off-label option or a clinical trial rather than a licensed treatment.

Self-test

  1. State the approximate proportions of cancers that are sporadic, highly penetrant inherited and lowly penetrant inherited, and define penetrance.
  2. Explain the two distinct senses in which cancer is described as a genetic disease.
  3. Distinguish somatic from germline DNA changes on when they arise, their effect and their heritability.
  4. Describe the relationship between allele frequency and relative risk in the genetic architecture of cancer risk.
  5. List the five key features of hereditary cancer.
  6. Given a pedigree with a grandmother diagnosed with breast cancer at 73 and a granddaughter at 67 and no other affected relatives, classify the pattern and justify the classification.
  7. Name the gene(s) and major tissue for Lynch syndrome, hereditary diffuse gastric cancer and hereditary breast-ovarian cancer.
  8. Compare BRCA1 and BRCA2 on population incidence, breast cancer lifetime risk and ovarian cancer risk.
  9. List the three DNA repair functions of wild-type BRCA1/BRCA2.
  10. Describe, in order, what happens in a BRCA-mutant cell once its repair functions are lost.
  11. Explain why a PARP1 inhibitor kills BRCA-mutant tumour cells but spares normal cells.
  12. State the risk reduction achieved by prophylactic mastectomy, by oophorectomy and by chemoprevention in BRCA1/2 carriers, including any condition attached to each figure.
  13. A 38-year-old woman is diagnosed with triple negative breast cancer. Explain whether she meets referral criteria for breast cancer genetic testing on personal history alone, and why.
  14. Describe the molecular defect in hereditary diffuse gastric cancer, including the gene, the protein and the structure affected.
  15. State the penetrance for advanced diffuse gastric cancer and the lobular breast cancer risk in HDGC, and give the management offered for each of these two risks.
  16. A patient carries a pathogenic CDH1 variant and there is diffuse gastric cancer in the family. Outline the recommended management under the 2020 Wanaka IGCLC pathway.
  17. Distinguish the management of a pathogenic CDH1 variant carrier from that of a carrier of a CDH1 variant of unknown significance.
  18. Name the mismatch repair genes involved in Lynch syndrome and describe the three steps of mismatch repair.
  19. Explain how loss of mismatch repair produces microsatellite instability, and why MSI predicts response to immunotherapy.
  20. Define a neoantigen and list the sources from which neoantigens can arise.
  21. Describe how Herceptin works, and state the underlying genomic abnormality it targets.
  22. A breast tumour scores HER2 2+ on immunohistochemistry. Describe the next test and how its result is interpreted.
  23. Give the Oncotype DX chemotherapy decision thresholds for a woman aged 55 and for a woman aged 45.
  24. Explain what the Dowsett validation data show about the prognostic value of the Recurrence Score in node-negative versus node-positive disease.
  25. Integrative: for BRCA1/2 mutation, Lynch syndrome and HER2 amplification, state in each case the molecular defect and the specific therapeutic strategy it makes possible.

Answers