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!