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Biomarkers of High Grade Dysplasia in Barrett's Esophagus

Biomarkers of High Grade Dysplasia in Barrett's Esophagus

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<strong>Biomarkers</strong> <strong>of</strong> <strong>High</strong> <strong>Grade</strong><strong>Dysplasia</strong> <strong>in</strong> Barrett’s<strong>Esophagus</strong>Murray Resnick, MD/PhDDirector <strong>of</strong> Surgical Pathologyand Co-Director <strong>of</strong> the Molecular PathologyCore Facility, Rhode Island Hospital andAlpert Medical School <strong>of</strong> Brown University


Barrett’s <strong>Esophagus</strong> Def<strong>in</strong>itionA premalignant condition <strong>in</strong> which the normal squamousepithelium <strong>of</strong> the distal esophagus undergoes metaplasiato a specialized <strong>in</strong>test<strong>in</strong>al epithelium.


Barrett’s <strong>Esophagus</strong>• 5-15% <strong>of</strong> all patients with reflux esophagitis(up to 20% <strong>of</strong> population have GERD)• For every patient with BE another 20 go undetected(Olmstead County autopsy study)• Much more common <strong>in</strong> white males even <strong>in</strong> populationswith high <strong>in</strong>cidence <strong>of</strong> reflux


BE Pathogenesis• Reflux <strong>in</strong>duces <strong>in</strong>flammation and mucosal <strong>in</strong>jury• Heal<strong>in</strong>g occurs by <strong>in</strong>-growth <strong>of</strong> stem cells andre-epitheliazation•Cells differentiate <strong>in</strong>to <strong>in</strong>test<strong>in</strong>al mucosa may<strong>of</strong>fer more resistance to acid damage


Barrett’s <strong>Esophagus</strong> SequelaeUlcerationBleed<strong>in</strong>gStricture<strong>Dysplasia</strong> Adenocarc<strong>in</strong>oma


BE and Adenocarc<strong>in</strong>omaOnly patients with specialized columnar epithelium are atrisk for develop<strong>in</strong>g Barrett’s related EAC.EAC develop <strong>in</strong> BE at the rate <strong>of</strong> 1 cancer per 125yrpatient follow-up (annual <strong>in</strong>cidence rate <strong>of</strong> 800/100,000)Increased frequency <strong>in</strong> EAC <strong>in</strong> white malesobserved <strong>in</strong> last 20yrs (<strong>in</strong>creases 5-10% per year)Why is EAC <strong>in</strong>creas<strong>in</strong>g?Older populationObesityDecrease <strong>in</strong> helicobacter <strong>in</strong>fection


Histopathologic Dx <strong>of</strong> <strong>Dysplasia</strong><strong>Dysplasia</strong>: Presence <strong>of</strong> neoplastic epithelium thatrema<strong>in</strong>s conf<strong>in</strong>ed with<strong>in</strong> the basement membrane.Occurs <strong>in</strong> up to 10-20% <strong>of</strong> cases if left untreated.Identification <strong>of</strong> dysplasia by light microscopy isstill considered the “gold standard” by which patientfollow-up and treatment is coord<strong>in</strong>ated.


Significance <strong>of</strong> <strong>Dysplasia</strong> <strong>in</strong> BE<strong>Dysplasia</strong> <strong>in</strong> BE:Presence <strong>of</strong> dysplasia (particularly HGD) is a risk factorfor synchronous and metachronous EAC.<strong>Dysplasia</strong> is frequently seen adjacent to and distant fromBarrett’s related EAC.<strong>Dysplasia</strong> is both a marker <strong>of</strong> adenocarc<strong>in</strong>oma and isclearly the pre-<strong>in</strong>vasive lesion.


<strong>Dysplasia</strong> <strong>in</strong> Barrett’s <strong>Esophagus</strong>•Negative for dysplasia•Positive for dysplasiaLow grade dysplasia<strong>High</strong> grade dysplasia•Indef<strong>in</strong>ite for dysplasia


Grad<strong>in</strong>g <strong>Dysplasia</strong> <strong>in</strong> BEFeature Negative IND LGD HGDSurface + + - -maturationArchitecture Normal Normal or mild Mild alteration Marked alterationalterationCytology Normal or Mild alterations or Mild alterations (D) Marked alteration;reactive focal marked with or marked (F); loss <strong>of</strong> polarity<strong>in</strong>flammation ma<strong>in</strong>ta<strong>in</strong>ed polarity(Montgomery et al Human Pathology 2001)


LGD


Surveillance Guidel<strong>in</strong>esInitial screen<strong>in</strong>g <strong>of</strong> <strong>in</strong>dividuals with highest risk:white men over 50 with chronic symptoms <strong>of</strong> heartburnNo dysplasia- Every 2-3yrs after two negative endoscopiesLGD - Every 6mths for 1yr, then yearlyHGD- Second confirmation followed by surgery orevery 3mth surveillanceSurveillance = 4 quarter biopsies at 2cm <strong>in</strong>tervals


<strong>Dysplasia</strong> <strong>in</strong> BEPitfalls• Sampl<strong>in</strong>g errors• Diagnostic <strong>in</strong>terpretationreactive vs dysplasticlow-grade vs high gradehigh grade vs <strong>in</strong>tramucosal ca


Barrett’s Related <strong>Dysplasia</strong>Interobserver AgreementCategory%AgreementHGD+IMC vs others 85-87%Negative vs others 71-72%Negative+Ind vs others 75-77%Neg vs <strong>in</strong>d/LG vs HGD/IMC 58-61%Reid BJ et al Human Pathology 1988


Ancillary Techniques <strong>in</strong> theScreen<strong>in</strong>g and DX <strong>of</strong> BEFlow cytometry Aneuploidy more common <strong>in</strong> HGD and maybe a marker for progressionMolecular P53 (late)Cycl<strong>in</strong> D1 expression (early)Telomerase (early and non-dysplastic)p16 hypermethylation or mutation (early)Brush cytology and balloon cytology“Light” biopsy (fluorescence, optical coherence tomography)


ObjectivesIdentify differentially expressed genes <strong>in</strong> HGD compared withnon-dysplastic Barrett’s esophagus through gene microarrayanalysis <strong>of</strong> epithelial cells microdissected from archival tissuespecimens by LCM.Identify markers <strong>of</strong> dysplasia suitable for immunohistochemistry


Advantages over other microarray studies screen<strong>in</strong>g forbiomarkers <strong>of</strong> BE associated dysplasia:LCM <strong>of</strong> epithelium as opposed to whole biopsies allows for:Identification <strong>of</strong> epithelial associated genes.Confirms by direct visualization presence <strong>of</strong> dysplasia.Only study to use formal<strong>in</strong>-fixed paraff<strong>in</strong> embedded archivaltissues.One <strong>of</strong> only two studies to use samples <strong>of</strong> dysplasia and nondysplasticBE from the same patient (other n=1).


Methods (1)• Esophageal biopsies (11 cases)– Formal<strong>in</strong>-fixed, paraff<strong>in</strong>-embedded. 2004-7– Inclusion criteria• Good tissue orientation• Easily def<strong>in</strong>ed areas <strong>of</strong> HGD and normal BE (SAME PATIENT!!)• HGD confirmed by 2-3 GI pathologists• Must have high quality mRNA–10μm sections deparaff<strong>in</strong>ized, scraped– RNA extracted with Paradise kit (Arcturus)– DNA removed (DNAse)– RNA quality determ<strong>in</strong>ed by» Agilent 2100 Bioanalyser» 5’ and 3’ β-act<strong>in</strong> RT-PCR (oligo-dT)–3’:5’β -act<strong>in</strong> < 10; >15ng


Specimen Evaluation40 cases (1-6 blocks <strong>of</strong> biopsies per case) received fromcollaborators26 had both NBE and HGD available for LCM11 had sufficient quantities <strong>of</strong> RNA and passed 3’5’ QCevaluation for <strong>in</strong>tact RNA


Methods (2)• RNA Extraction/Preparation– 2500 surface esophageal epithelial cells (AutoPix LCM)– RNA extracted (Paradise kit, Arcturus)– RNA quality determ<strong>in</strong>ed by 5’ and 3’ β-act<strong>in</strong> QT-PCR– Amplified and Reverse transcribed (Arcturus T7 kit)– cDNA → biot<strong>in</strong>-labeled cRNA labeled (Enzo kit)– Chip hybridization, sta<strong>in</strong><strong>in</strong>g with streptavid<strong>in</strong> bound tophycoerytr<strong>in</strong>, expression assayed (Keck Center, Yale)– Affymetrix custom U133-X3P expression array• As for standard U133+2 array– 61,000 probe sets target<strong>in</strong>g 47,000 transcripts• But, focused on 300 bases at 3’ end– Because FFPE mRNA fragmentation, chemical modification, esp 5’


Biopsy <strong>of</strong> Normal BE


Biopsy <strong>of</strong> HGD


Use <strong>of</strong> Aperio ScanScope for Remote Onl<strong>in</strong>e Annotation<strong>of</strong> Slides for LCMAperioScanScopeCS SystemEntire slide scanned <strong>in</strong> labAccessed by <strong>in</strong>ternet l<strong>in</strong>k from pathologist’s <strong>of</strong>ficeSmall biopsies with m<strong>in</strong>or areas <strong>of</strong> specific cellsidentified and annotated with pathologist’s expertiseAnnotated image displayed on Autopix screenLab tech uses as reference to guide dissectionLaser Micro Dissection


Laser Capture MicrodissectionBarrett’s Epithelium<strong>High</strong> <strong>Grade</strong> <strong>Dysplasia</strong>ABABCDCDEsophageal epithelium sta<strong>in</strong>ed with Histogene sta<strong>in</strong><strong>in</strong>g solution (A), marked for capture (B),after capture (C) and captured cells after dissection (D)


Bio<strong>in</strong>formaticsExpression signals normalized us<strong>in</strong>g the Standardization andNormalization <strong>of</strong> Microarray Data web-based s<strong>of</strong>twareConcordant absent expression signals were removed from analysisStatistical comparison <strong>of</strong> HGD to ND was done us<strong>in</strong>g the Wilcoxonmatched-pairs signal ranks test (>2.5 fold cut<strong>of</strong>f, p


Results132 genes with 2.5 > <strong>in</strong>creased expression <strong>in</strong> HGD vs ND BE13 genes with 2.5 > decreased expression <strong>in</strong> HGD vs ND BE


Dysregulated Genes <strong>in</strong> HGD by Functional CategorySignal TransductionCell Communication and MotilityImmune ResponseECM and ProteaseProte<strong>in</strong> B<strong>in</strong>d<strong>in</strong>gCalcium B<strong>in</strong>d<strong>in</strong>g and Ion ChannelMiscellaneousCell Adhesion and MembraneCell Proliferation and Cell DeathStructural and CytoskeletonMetabolism and MitochondriaNucleic Acid B<strong>in</strong>d<strong>in</strong>g &Transcription Factors-10 -5 0 5 10 15 20 25Down-regulated <strong>in</strong> HGD Up-regulated <strong>in</strong> HGD


Table 2. Differentially Expressed Genes Confirmed by Real-Time Quantitative PCR*GeneChipFunctional Gene Group GeneBank ID Fold p valueChangeUpregulated genesComplement component 3 Miscellaneous NM_000064 13.1 0.016Topoisomerase (DNA) IIα 170kDa Cell proliferation and cell death AL561834 12.6 0.01Matrix metallopeptidase 1 (<strong>in</strong>terstitial collagenase) Extracellular matrix and protease NM_002421 10.8 0.018Matrix metallopeptidase 12 (macrophage elastase) Extracellular matrix and protease NM_002426 9.3 0.006TIA1 cytotoxic granule-associated RNA b<strong>in</strong>d<strong>in</strong>g prote<strong>in</strong>-like 1 Cell proliferation and cell death NM_003252 8.3 0.005Prote<strong>in</strong> tyros<strong>in</strong>e phosphatase, non-receptor type 7 Metabolism and mitochondria NM_002832 7.3 0.010Nurim (nuclear envelope membrane prote<strong>in</strong>) Cell adhesion, motility and membrane prote<strong>in</strong>s NM_014641 7 0.016Histone cluster 1, H2ag Nucleic acid b<strong>in</strong>d<strong>in</strong>g and transcription factors NM_021064 7 0.004Lipocal<strong>in</strong>-2 (oncogene 24p3) Ca+ b<strong>in</strong>d<strong>in</strong>g and ion channels NM_005564 6.8 0.003Fidget<strong>in</strong>-like 1 Cell proliferation and cell death AK023411 6.8 0.01Prote<strong>in</strong> phosphatase 2 (formerly 2A), catalytic subunit, β is<strong>of</strong>orm Cell proliferation and cell death AI379894 6.7 0.003Formyl peptide receptor 1 Cell adhesion, motility and membrane prote<strong>in</strong>s NM_002029 6.40.003M<strong>in</strong>ichromosome ma<strong>in</strong>tenance complex component 10 Cell proliferation and cell death AL136840 6.3 0.005Secern<strong>in</strong> 1 Miscellaneous NM_014766 6 0.004S100 calcium b<strong>in</strong>d<strong>in</strong>g prote<strong>in</strong> A9 Ca+ b<strong>in</strong>d<strong>in</strong>g and ion channels NM_002965 4.1 0.003Downregulated genesFatty acid b<strong>in</strong>d<strong>in</strong>g prote<strong>in</strong> 1 liver Metabolism and mitochondria NM_001443 -2.5 0.003Trefoil factor 1 Cell adhesion, motility and membrane prote<strong>in</strong>s NM_003225 -2.6 0.003Muc<strong>in</strong> 5AC, oligomeric mucus/gel-form<strong>in</strong>g Extracellular matrix and protease AW192795 -2.6 0.01Aldolase B, fructose-bisphosphate Metabolism and mitochondria NM_000035 -2.8 0.003Calcium/calmodul<strong>in</strong>-dependent prote<strong>in</strong> k<strong>in</strong>ase II <strong>in</strong>hibitor 1 Signal transduction N75559 -3 0.006Hydroxysteroid (17-β) dehydrogenase 2 Metabolism and mitochondria NM_002153 -3.1 0.003Hydroxyprostagland<strong>in</strong> dehydrogenase 15-(NAD) Metabolism and mitochondria J05594 -3.3 0.004Mepr<strong>in</strong> A, alpha (PABA peptide hydrolase) Extracellular matrix and protease NM_005588 -4.7 0.003Alanyl (membrane) am<strong>in</strong>opeptidase Extracellular matrix and protease NM_001150 -4.7 0.003


CAMK2N1MUC5ACHSD17BPGDHAMEP1AALDOBANPEPFABP1TFF1HIST2H2AA3FPR1MMP12FIGNLMCM10LCN2HIST1H2AGPTPN7TIALPPP2CBSCRN1NRMS100A9TOP2A151050Fold Change-5-10-15Confirmation <strong>of</strong> the Expression Levels <strong>of</strong> SelectedDysregulated Genes by real-time PCR andCorrelation with Microarray DataR S = 0.75, p


Prote<strong>in</strong> Expression Confirmed by ImmunohistochemistryUpregulatedTopoisomerase II alpha•DNA replication <strong>in</strong> a number <strong>of</strong> cancersLipocal<strong>in</strong>-2•Cell survival factor upregulated <strong>in</strong> GI cancersS100-A9•Chemotaxis and cell proliferationDownregulatedTrefoil Factor –1•Putative tumor suppressor gene <strong>in</strong> GI cancers


Topoisomerase II alpha


Lipocal<strong>in</strong>-2


S100-A9


Trefoil factor 1


Immunohistochemical sta<strong>in</strong>s for topoisomerase IIa (Topo), lipocal<strong>in</strong>-2 (Lipo),S100A9 (S-100), and TFF1. ADCA, adenocarc<strong>in</strong>omaTopoNumber <strong>of</strong> cases15105012(100%)p < 0.01 for:NDBE vs AllLGD vs HGD075 6(58%) 5 4(45%)(55%)(42%) (33%)0 0 0(8%)1NDBE LGD HGD ADCA7(58%)Number <strong>of</strong> casesLipo12108642011(92%)p < 0.02 for:NDBE vs All21(18%)(8%)05(46%) 4(36%)5(42%)5(42%)2(16%)7(58%)5(42%)NDBE LGD HGD ADCA0Number <strong>of</strong> casesS-10012108642012(100%)0 0p < 0.03 for:NDBE vs AllHGD vs ADCA7(64%)4(36%)07(58%)5(42%)01(8%)NDBE LGD HGD ADCA6(50%) 5(42%)Number <strong>of</strong> casesTFF1IHC Score = +1 IHC Score = +2 IHC Score = +31210864200 012(100%)4(36%)p < 0.03 for:NDBE vs AllLGD vs HGD9(82%)1(9%)6(55%)1 1(9%) (9%)11(92%)01(8%)NDBE LGD HGD ADCA


Next Steps……1. Cont<strong>in</strong>ue test<strong>in</strong>g different commercially available markers2. Generate Abs towards novel prote<strong>in</strong>s3. Determ<strong>in</strong>e utility <strong>of</strong> the expression <strong>of</strong> these markers on a large group<strong>of</strong> BE associated dysplasia cases.a. LGD vs HGDb. Indef<strong>in</strong>ite vs LGD (or HGD)4. Determ<strong>in</strong>e whether these markers can predict progression from LGDor HGD to adenocarc<strong>in</strong>oma.


Thanks to…….Patricia A. MeitnerEdmond SaboRosemarie TavaresSteven F.MossCOBRE Core lab Rhode Island HospitalPathology, Rambam Medical CenterHaifa, IsraelCOBRE Core lab Rhode Island HospitalGI/Medic<strong>in</strong>e, Brown University, ProvidenceChristopher L. Corless Pathology, OHSU Portland OregonGregory Y. LauwersPathology, Mass General HospitalSupported <strong>in</strong> part by the Rhode Island Hospital COBRE CCRD.Director: Douglas C. Hixson, PhD


Molecular Pathology CoreRonald DeLellis, MDMurray Resnick, MD/PhDPatricia Meitner, PhDRose TavaresLelia NobleLaura GanttAldrich Build<strong>in</strong>g, 6 th FloorRhode Island HospitalStaffCore DirectorCore Co-Director, Tissue BankMolecular Biology & LCMIHC and TMAsTissue Bank and TMAsAdm<strong>in</strong>istrative/Bill<strong>in</strong>gSupported <strong>in</strong> part by the Rhode Island Hospital COBRE CCRD. Director: Douglas C. Hixson, PhD

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