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Basic Molecular Pathology · 2019. 11. 23. · breast cancer patients within 10 years who is going to be treated with adjuvant endocrine therapy. • Identification of different breast

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  • Chit Chow (PhD)Laboratory Development ManagerDept of Anatomical & Cellular Pathology, The Chinese University of Hong Kong

    27th April, 2019

    Basic Molecular PathologyPractical Perspective from A Laboratory Scientist

  • Disclaimer

    • No financial interest• I am not a pathologist…• I am not a clinician…• I am a lab scientist of anatomical pathology lab. Thus I will focus my

    talk on molecular technologies for anatomical pathology.

  • Molecular Pathology: A Piece of Jigsaw Puzzle of Pathology

    • Study the root cause of diseases at genetics or molecular level

    • To provide genetics informationAid diagnosis of anatomical pathologyGuide personalized / precision medicineDisease prognosis

    • Like morphology, immunohistochemistry and other assays, molecular pathology is a piece of jigsaw puzzle in the world of pathology.

  • Cancer: Genetic disorders

    • Cancers are genetic disorders• Activation of oncogenes• Inactivation of tumor suppressor genes• Results in uncontrolled cell growth, invasion and

    metastasis

    • Molecular pathology: Dissecting the root cause of cancer pathogenesis.

    • Better diagnosis via detection of hallmark mutations.• Design precision treatment strategies.• Provide prognosis information.• Improve patient management.

    Dauglas Hanahan, Robert A. Weinberg, Cell, 2011)

    Dauglas Hanahan, Robert A. Weinberg, Cell, 2000

  • Genetic Abnormalities of CancersEpigenetics

    • Promoter Hypermethylation• Promoter hydroxymethylation• Histone modifications

    Genomics

    • Gene mutations• Gene translocations• Copy number variations

    Gene Expression

    • Activation of oncogenic pathways

    • Down-regulation of tumorsuppressor

    • Expression of mutated genes

    Sanger / Pyro-Sequencing

    Mutation-specific PCR

    MALDI-TOF mass

    spectrometry

    Immunohisto-chemistry

    Fluorescence in-situ

    hybridization

    Array-CGH / SNP Array

    RT-PCRMethylation-specific PCR

    Methylation array

    Gene Expression

    Array

    RFLP

    ChIP-PCR/ ChIP-chip

    Dete

    ctio

    n Pl

    atfo

    rms

    Next-Generation Sequencing

    NanoString

  • Molecular Platforms: General Considerations• Clinical questions• Specimen compatibility

    • Fresh specimen vs FFPE vs Cell-free DNA/RNA• Sensitivity requirement

    • Homogeneous (Germline variants) vs Heterogeneous (Somatic Variants)• Complexity / Robustness / Cost / Through-put / Turn-around time• Validated platform vs Laboratory-developed test• Laboratory set up

    • Space, workflow, ventilation etc• Personnel, training etc…

  • Considerations on Specimen TypesSpecimen Types Advantage Disadvantage

    Fresh / Frozen tissues

    Provide the highest DNA / RNA quality Not compatible to routine IHC workflow.Not easy to preserve and store.Not readily available.

    FFPE tissues Available as routine histological specimens.Specimen can be archived at room temperature.

    DNA and RNA are damaged and cross-linked byformalin- DNA / RNA fragmentation- Introduce artefacts- Low yield

    Liquid biopsy Easy for collectionFast TATLow costVirtually unlimited supply of cancer-derived DNA

    Variation on ctDNA fraction- Need highly sensitive platforms- Sampling error, false negative resultsDNA / RNA fragmentationGenomic DNA / RNA releases from WBC over time.- Need special blood collection tube

  • Platforms for Single Gene / Small Panel Mutations

  • Platforms for Single Nucleotide Variants /Small Insertion-deletions

    Platform Mutant coverage Sensitivity (Mutant level)

    Specimen compatibility

    Fresh / frozen tissue

    FFPE tissue

    CirculatingcfDNA

    Sanger sequencing Whole gene scanning 10-20% + + -

    Mutant-specific PCRDigital PCR

    Mutant-specific

    1-5%0.1%

    ++

    ++/-

    +/-+

    Mass spectrometery(MALDI-TOF) 0.1-5% + + +/-

    Restriction fragment length polymorphism 5% + + -

    Mutant-specific IHC N.A. +/- + -

  • Sanger Sequencing: Most Essential Tool for Mutation Detection and Genotyping

    • Widely adopted by molecular laboratories.• Determine the DNA sequence of the targeted regions.• Versatile technique:

    • Just need a pair of primers for PCR and sequencing.

    • TAT: < 24 hours from sample to result.• Robust technology.

    DNA extractionPCR andclean up

    Terminator-Sequencing Clean up

    Capillary electrophoresis

    and data analysis

    EGFR wild-type

    EGFR p.L858RT/G

  • • Limitation on Analytical Sensitivity: 5-10% mutant DNA on background of wild-type DNA (10-20% tumor cellularity)

    • Tedious procedure• Prone to human error• Difficult for high throughput analysis

    • Quality of sequencing decreases with length of sequencing product:• Sequence up to 1000bp.• Best sequencing result for up to 600bp.

    Sanger Sequencing: Limitation

    50% KRASG12D DNA

    10% KRASG12D DNA

    5% KRASG12D DNA

    0% KRASG12D DNA

  • Mutation-Specific PCR: Real-time PCR

    Chemistry ARMS + scorpion probe ARMS + Taqman probe Universal primer + Hyb-probe

    Inhibition of wild-type DNA PCR by blocker

    Example QIAGEN TheraScreenEGFR RGQ PCR Test

    QIAGEN TheraScreenKRAS RGQ PCR Test

    Roche cobas EGFR Test Roche KRAS PCR test Diacarta QClamp EGFR TestPanagene PNAClamp EGFR

    Test

    Sensitivity 1% mutant DNA 5% mutant DNA 5% mutant DNA 0.1% mutant DNA

    Mutant DNA

    FQ

    Melting-curve analysis

    Gene-specific primer

    X

    FQ

    X

    Mutant DNA

    Mutant-specific primerFQ

    F Q

    X

    X

    Mutant DNA

    Mutant-specific primer F Q

    FQ

    X

    X

    Mutant DNAF Q

    FQ

    WT DNABlocker

    No PCR product

    X

    X

  • Mutation Detection by Real-time PCR

    • Strength:• Simple and straight-forward workflow. Suitable for mid-throughput volume.• High sensitivity (detect 1%-5% mutant DNA; c.f. 10% for Sanger sequencing).• Fast TAT (< 8 hours from sample to result).

    • Weakness:• Only cover hotspot mutations, not for whole gene screening.• Difficult to optimize, especially for multiplex detection.• More expensive (for validated test kits).

    DNA extraction PCR Data analysis

  • Running PCR with single copy of DNA Partition PCR reaction in tiny volume

    25uL with 100 copies of DNA

    0 or 1 moleculein each well

    PCR

    No. of positive wells

    Dilution

    Digital PCR: Ultimate Sensitivity and Specificity

  • Digital PCR for Mutation Detection

    Sample with wild-type DNA

    WT Droplet

    Mutant Droplet

    WT Droplet

    Mutant Droplet

    PCR Analysis

    Flow CytometryData Analysis

    Droplet with no DNA

    Droplet with mutant DNADroplet with WT DNA

    Partitioning

    WT DNAMutant DNA

    Probe for mutant DNAPCR Reagent

    Probe for WT DNA

    Sample with wild-type and mutant DNA

  • Digital PCR for Cancer Diagnosis

    • High Sensitivity:• High differentiation power of mutant / WT DNA• Most suitable for detection of tumor-derived circulating mutant DNA

    • Absolute Quantitation:• Count the no. of mutant / WT DNA copy• Indicator of tumor loading / disease progression

    • Applications:• Non-invasive mutation detection for solid cancers using ctDNA (EGFR for lung

    cancers, KRAS for CRC etc…)• Detection of drug-resistant mutations of solid cancers• Minimal residue disease detection of leukemia

  • MALDI-TOF for Mutation Detection• Detection of mutations by MALDI-TOF

    after single base-extension.• Strength:

    • Suitable for multiplexing and mid-high sample throughput.

    • Quantitative results.• Fast and simple workflow (TAT < 8hr).

    • Weakness:• High setup and assay costs.

    G

    A

    PCR

    G

    AG

    AG

    A

    G

    A

    Primer extension with single base

    WT DNA

    MuT DNA

    C-X

    T-X

    Mass-spectrometer

    Time-of-flight

    Sign

    alIn

    tens

    ity CT

  • Platforms for Copy Number Variants / Gene Translocation

  • Platforms for Copy Number Variants / Gene Translocations

    Platform Single locus / Genome-wide

    Resolution Specimen compatibility

    Frozen tissue FFPE tissue

    Fluorescence in-situ hybridization (FISH)

    Single locus 200kb – 1Mb + +

    MLPA Single locus / Gene panel Exon level + -

    Microarray (SNP / aCGH) Genome-wide >= 40kb + -

    Platform Require known breakpoint?

    Specimen compatibility

    Frozen tissue FFPE tissue

    Fluorescence in-situ hybridization (FISH)

    No + +

    RT-PCR Yes + +/-

    Copy

    num

    ber V

    aria

    nts

    Gene

    Tr

    anslo

    catio

    n

  • • Probe gene-specific locus by fluorescence probes for visualization under microscope.

    Fluorescence in-situ Hybridization (FISH) for Gene Translocation and Copy Number Variation Detection

    Tissue Section Pretreatment:Digest and permeablize tissue

    Hybridization of fluorescence-labelled DNA probe to the

    genomic DNA

    Wash and visualize signals under fluorescence microscope

  • Fluorescence in-situ Hybridization (FISH) for Gene Translocation and Copy Number Variation Detection

    SS18 3’

    SSX1SS18 5’SSX1

    ChrXChr18

    SS18

    Chr17

    CEN17

    HER2

    PDGFBCOL1A1

    PDGFB

    Chr22Chr17

    COL1A1

    Break-apart FISH Fusion FISHCopy Number FISH

  • Fluorescence in-situ Hybridization• Strength:

    • Detect genetic abnormality in each individual cells• TAT: 1-2 days (single-day FISH with specific FISH buffer)• Simple laboratory set up: Ovens / hybridizer, water bath and fluorescence

    microscope

    • Weakness:• Tedious experiment and scoring procedure• Only analyse one or few targets per test• Difficult to detect cryptic rearrangement• Difficult to interpret atypical result

  • Platforms for Gene Expression Profiling

  • Molecular Classification of Cancers by Gene Expression Profiling

    • Gene expression profile is the Signature of different cancers and their subtypes

    • Identification of different subtypes, which cannot be distinguished by histopathology

    • Stratification of prognosis of cancer patients

    DeRose et al., 2011

    Mischel et al., 2004

  • Gene-Expression Profiling Platforms

    Platform qRT-PCR NanoString Microarray

    Example Oncotype Dx ProSignaLymph2Cx

    Mammaprint

    Strength Low cost on equipmentand assay

    Very robustAmplification-free GEPCompatible to FFPE RNA

    Whole transcriptome GEP or GEP of selected genes

    Weakness Limitation on multiplexing

    Expansive assay.Limitation on number of targets (

  • NanoString Technology: Molecular Counting

    From NanoString Technologies

  • Clinical Applications of NanoString Technology• Prognostic test of early stage HR+ breast cancers (ProSigna test)

    • Determine risk of distance recurrence of stage I/II post-menopause HR+ breast cancer patients within 10 years who is going to be treated with adjuvant endocrine therapy.

    • Identification of different breast cancer molecular subtypes (Luminal A, Luminal B, Basal-like and HER2-enriched)

    • Molecular subgroups of medulloblastoma• Differentiation between Wnt, Sonic Hedgehog, Group 3 (MYC amplification),

    Group 4 (Iso17q, MYCN amplification, CDK6 amplification)

    • Molecular classification of DLBCL (Lym2Cx test)• Differentiation of ABC vs GCB subtypes of DLBCL

    • Detection of fusion transcript• Design detection probe to span the junction of fusion transcripts

    • Detection of gene amplification on DNA level

  • Next-generation Sequencing:Powerful Technology for Mutation Detection

  • Next-generation Sequencing: Versatile Platform for High Throughput Mutation Detection• Detection of Gene Mutation: From Sanger sequencing to

    NGS• Sanger Sequencing:

    • Gold standard technology for mutation detection.• Routine technology of genetic lab.• Sequence single DNA locus per reaction.• For single gene sequencing test.

    • Advance of Next-generation sequencing (NGS)• Massively parallel sequencing.• Sequence multiple DNA pieces simultaneously.• For multiple gene, multiple sample sequencing.

  • Molecular Classification of Cancers: Era of Targeted Therapies

    Non-Small Cell Lung Cancer @ 2019

    EGFRMutation

    ALKTranslocation

    ROS1Translocation

    RETTranslocation

    METMutation/

    Amplification

    HER2Mutation

    EGFRInhibitor

    Gefitinib/Erlotinib/Afatinib

    Approved by EMA/FDA

    ALK/ROS1InhibitorCrizotinib /

    ceritinib/ alectinib/ brigatinib

    Approved by EMA/FDA

    RETInhibitorVandetanib

    ClinicalTrial

    METInhibitor

    Crizotinib

    ClinicalTrial

    ClinicalTrial

    HER2Inhibitor

    NeratinibHerceptin

    ALK/ROS1Inhibitor

    Crizotinib

    Fast-TrackApproved by

    FDA

    NTRK1/2/3Translocation

    FDA-approved / Clinical

    Trial

    TrkInhibitorLarotrectinibEntrectinib

    PD-L1Expression

    PD1 / PDL1 Immunotherapy

    PembrolizumabNivolumab

    Approved by EMA/FDA

    BRAFMutation

    BRAF+MEKInhibitor

    dabrafenib and trametinib

    Approved by

    FDA

  • Limitation of Conventional Test Platforms• No multiplexing

    • Only one or few targets can be tested in each assay• Time-consuming and labor-intensive for a panel of test

    • Requirement of different platforms for different kinds of mutations• EGFR mutation: Allele-specific PCR• BRAF mutation and HER2 mutation: Sanger sequencing• ALK translocation: Immunohistochemistry and FISH• ROS1 RET translocation, NTRK translocations: FISH

    • Risk of exhausting tiny materials

  • Next Generation Sequencing Workflow

    Library preparation

    Clonal Amplification

    Sequencing

    Data Analysis Pipelines

    Single nucleotide

    variance

    Small insertion/ deletion

    Structural variance

    (translocation)

    Copy Number Variance

    AA T

  • NGS Chemistries

    (http://www.nimr.mrc.ac.uk)

    Sequencing-by-synthesis (Illumina Chemistry)

    (Life Technologies)

    Change of Acidity (H+) (ION Torrent chemistry)

  • NGS for Cancers: Different StrategiesStrategy Region of Interest Pros Cons

    Whole Genome Sequencing

    Whole Genome(3 X 109)

    Identify mutations in whole genome, including non-coding regions (e.g. promoters)

    - Expensive, Low coverage.- Difficult in data handling.

    Whole ExomeSequencing

    Coding Exome + UTR + non-coding genes(~68Mb)

    Identify mutations in coding regions / transcribed regions

    - May miss genetic translocations- May miss mutations in introns- Low coverage

    Targeted Resequencing

    User-define - Achieve high coverage.- Cost-effective for targeted genes.

    - Require well-defined region

    TranscriptomeSequencing

    Whole transcriptome (RNA) - Excellent for translocation.- Excellent for expression level

    analysis.

    - Not suitable to detect SNV / Indel mutations

    Bisulfite sequencing / RRBS

    Methylated DNA Genome-wide survey of DNA methylation

    - Low sequencing efficiency- Difficult in data analysis

    Chromatinimmunoprecipitation -sequencing

    Methylated DNA / Hydroxymethylated DNA / DNA on modified histone

    Whole epigenomic profiling - Robustness?- Difficult in data analysis.

  • Target Enrichment: Sequence Capture

    M

    M

    M

    Gene-specific probe

    Magnetic bead

    Probe-targeted DNA

    Non-targeted DNA

    Target-enriched library

  • Target Enrichment: Amplicon SequencingRegion of Interest

    Primer

    PrimerTag2

    Tag1

    PCR

    Indexing PCR

    Library

    BarcodeBarcode

  • NGS

    • Strength• Cost-effective for panel of genes.• Versatile: detecting 4 types of mutations in a single test.• High multiplexing capacity: different samples, different libraries, different

    tests can be sequenced together to share the cost.• Highly sensitive. Detection of mutations in both tissue and ctDNA.

    • Weakness• Expansive set up cost and running cost.• Complex data analysis and curations.• TAT from 3 days to 7 days, depends on assays.

  • No Perfect Platform…

  • Case Study: Atypical ROS1 FISH

    • 60/M patient. NSCLC.• EGFR WT, ALK IHC –ve.• ROS1 IHC: Focally positive• ROS1 break-apart FISH: occasionally

    isolated green signals (~15-20%).• Corresponding to the 3’end (kinase domain)

    of ROS1.• Positive??

  • Further Investigations• In-house targeted RNA-seq:

    • Negative for ROS1 fusions. However, expression of ROS1 was Detected by RNA-seq.

    • Support the finding of ROS1 IHC.• The atypical FISH pattern may not result in

    fusion transcript.• POSITIVE for CD47-MET fusion.

    • Kinase domain of MET gene fused with 5’end of CD47 gene.

    • This fusion was reported in paediatric glioma. (Benders et al., 2016, Nat Med)

    Expr

    essio

    n Le

    vel ROS1 expression was detected by RNA-seq

    CD47-MET was detected by RNA-seq

  • Case Study: MET exon 14-skipping Mutation

    • 57/F, glioblastoma• Refer to RNA-seq test to determine whether the patient is eligible for

    Trk inhibitor clinical trial.• Result: Positive for MET exon 14-skipping mutation, confirmed with

    RT-PCR.

    ATCTGGGCAGT……. (Exon 14)ATCAGTTTTCC…… (Exon 15)

    MET Exon 13

  • Further Investigation on the DNA Level

    • MET exon 14-skipping mutation is caused by mutations at intron 13 – intron 14 of MET gene.

    • Sanger sequencing using primers flanking the mutation hotspots of intron 13 – intron 14 of MET gene.

    • Primer covering -70bp - +30bp of exon 14, detecting >95% MET exon 14-skipping mutations.

    • No mutation found….

    Framptom et al., 2015, Cancer Discovery

  • Further Investigation on the DNA Level by NGS• Capture-sequencing of DNA of Case 3 using probes targeting intron 13 – intron 14

    of MET gene.• On structural variant analysis, a complex rearrangement on intron 13 and intron 14 was

    discovered.

    chr1 pos1 gene1 chr2 pos2 gene2 filter type7 116411705 MET_exon_+ 7 116418251 MET_intron_+ PASS DUP

    7 116411932 MET_exon_+ 7 116413958 MET_intron_+ PASS DEL

    Duplication

    DeletionRearranged

    Exon-skipped due to loss of 3’ splicing site

    13 14 15

    151513 13 1414

    Large insertion / duplication missed by PCR sequencing on DNA

  • Take Home Message

    • Many new emerging molecular platforms.• Traditional platforms are robust and cost-effective for single or few

    targets.• Next-generation sequencing is powerful and cost-effective for

    screening of panel of genes, or even whole genome / whole transcriptome.

    • No perfect platform. Understanding the strengths and limitations of the platforms.

    • Different platforms are complementary with each others.

  • Future Direction of Molecular Pathology• New platform development

    • CRISPR-based mutation detection platform (SHERLOCK)• Third-generation sequencing (single-molecule

    sequencing)• New molecular classifications

    • Cancer genome projects• Population genome projects

    • Genomic-phenotypic mapping• Understand biological / clinical significance of variants• Development of new therapeutic strategies by

    combination of genome sequencing and drug screening on cancer organoids / xenografts model.

    Gootenburg, Science 2018

  • Thank you!

    Slide Number 1DisclaimerMolecular Pathology: A Piece of Jigsaw Puzzle of PathologyCancer: Genetic disordersGenetic Abnormalities of CancersMolecular Platforms: General ConsiderationsConsiderations on Specimen TypesPlatforms for Single Gene / Small Panel MutationsPlatforms for Single Nucleotide Variants /Small Insertion-deletionsSanger Sequencing: Most Essential Tool for Mutation Detection and GenotypingSanger Sequencing: LimitationMutation-Specific PCR: Real-time PCRMutation Detection by Real-time PCRSlide Number 14Digital PCR for Mutation DetectionDigital PCR for Cancer DiagnosisMALDI-TOF for Mutation DetectionPlatforms for Copy Number Variants / Gene TranslocationPlatforms for Copy Number Variants / Gene TranslocationsFluorescence in-situ Hybridization (FISH) for Gene Translocation and Copy Number Variation Detection Fluorescence in-situ Hybridization (FISH) for Gene Translocation and Copy Number Variation Detection Fluorescence in-situ HybridizationPlatforms for Gene Expression ProfilingMolecular Classification of Cancers by Gene Expression ProfilingGene-Expression Profiling PlatformsNanoString Technology: �Molecular CountingClinical Applications of NanoString TechnologyNext-generation Sequencing:�Powerful Technology for Mutation DetectionNext-generation Sequencing: Versatile Platform for High Throughput Mutation DetectionSlide Number 30Limitation of Conventional Test PlatformsNext Generation Sequencing WorkflowNGS ChemistriesNGS for Cancers: Different StrategiesTarget Enrichment: Sequence CaptureTarget Enrichment: Amplicon SequencingNGSNo Perfect Platform…Case Study: Atypical ROS1 FISHFurther InvestigationsCase Study: MET exon 14-skipping MutationFurther Investigation on the DNA LevelFurther Investigation on the DNA Level by NGSTake Home MessageFuture Direction of Molecular PathologyThank you!