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Challenges in molecular testing in non-small-cell lung cancer patientswith advanced disease
Hiley, C. T., Le Quesne, J., Santis, G., Sharpe, R., de Castro, D. G., Middleton, G., & Swanton, C. (2016).Challenges in molecular testing in non-small-cell lung cancer patients with advanced disease. Lancet,388(10048), 1002-11. https://doi.org/10.1016/S0140-6736(16)31340-X
Published in:Lancet
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Download date:26. Jul. 2020
1
Challengesinmoleculartestinginnon-smallcelllungcancerpatientswithadvanced1
disease2
3
CrispinTHiley1,2,JohnLeQuesne3,GeorgeSantis4,RowenaSharpe5,DavidGonzalezde4
Castro6,7,GaryMiddleton8,9andCharlesSwanton1,10*.5
6
1. TranslationalCancerTherapeuticsLaboratory,TheFrancisCrickInstitute,London,UK.72. DivisionofCancerStudies,King'sCollegeLondon,London,UK.8
3. DepartmentofCancerStudies,UniversityofLeicester,Leicester,UK.9
4. DepartmentofRespiratoryMedicineandAllergy,KingsCollegeLondon,UK.10
5. CancerResearchUK,London,UK.11
6. CentreforMolecularPathology,RoyalMarsdenHospital,Sutton,UK.12
7. SchoolofMedicine,DentistryandBiomedicalSciences,QueensUniversityBelfast,UK.13
8. InstituteofImmunologyandImmunotherapy,UniversityofBirmingham,Birmingham,14
UK.15
9. UniversityHospitalBirminghamNHSFoundationTrust,QueenElizabethHospital,16
Birmingham,UK.17
10. CRUKLungCancerCentreofExcellence,UCLCancerInstitute,London,UK.18
19
*Correspondenceto:ProfessorCharlesSwanton.TheFrancisCrickInstitute,[email protected]
22
Summary:23
Lungcancerdiagnosticshaveevolvedsignificantlyinthepreviousdecade.Thechallengeof24
moleculartestingtoidentifyanincreasingnumberofpotentiallyclinicallyactionablegenetic25
variants, using smaller samples obtained via minimally invasive techniques, is significant.26
Tumour heterogeneity and cancer evolution in response to therapy means that repeat27
biopsiesorcirculatingbiomarkersarelikelytobeincreasinglyusefultoadapttreatmentas28
resistancedevelops.Wehighlight someof the current challenges faced in clinical practice29
formolecular testing of EGFR, ALK and new biomarkers such as PDL1. Implementation of30
nextgenerationsequencing(NGS)platformsformoleculardiagnosticsinnon-smallcelllung31
cancer is increasingly common allowing testing of multiple genetic variants from a single32
sample.TheuseofNGSto recruit tomolecularlystratifiedclinical trials isdiscussed in the33contextoftheUKStratifiedMedicineProgrammeandTheUKNationalLungMatrixTrial.34
2
35
Historicaloverviewoflungcancerdiagnostics36
37
Lungcancer is themostcommoncauseofmortality in theUK,accounting for1 in5ofall38
cancer deaths.(1) With the estimated global incidence in 2012 of 1.83 million cases it is39
important to reflect that a century ago, lung cancer diagnosis was a rare event. In40
comparisontothecurrentepidemic, in1912IsaacAdler’scollectionof374casereports in41hispublicationPrimaryMalignantGrowthsoftheLungsandBronchirepresentedtheentire42
known global incidence at the time. A century later theWHOhistological classification of43
malignantepithelialtumoursofthelungrecognizesdifferenthistologieswithmanyvariants44
foreachsubtypeandanalysesfromnextgenerationsequencing(NGS)studieshavedivided45
thisdisease intomolecularsubtypesdefinedbydistinctsomaticalterations.(2-4)Thisreview46
will focusonkey challenges faced in current clinical practice formolecular testing innon-47
small cell lung cancer (NSCLC). In broad terms the challenges are technical, logistical and48
relatedtotumourbiologyandsomeofthepertinentissuesarehighlighted(Figure1).49
50
Identificationoftumourhistology5152Historically the treatment focus for those with advanced NSCLC was selection of an53
appropriate cytotoxic chemotherapy regimen irrespective of histological subtype. Several54
large studies were published that showed the efficacy of various platinum doublet55
combinations were comparable but with differing drug specific toxicities.(5-7) However56accurate classification of NSCLC subtype has become fundamental in themanagement of57
advanced NSCLC following the results of phase III clinical trials showing improved58
progression free survival in EGFR mutation positive adenocarcinoma treated with EGFR59
tyrosinekinaseinhibitors(TKI),(8,9)andimprovedoverallsurvivalwithpemetrexedinthefirst60
lineandmaintenancesettingforthosewithnon-squamoushistology.(10)(11)61
62(12,13)The number of tumours that cannot be given an accurate histological diagnosis (i.e.63
adenocarcinomaversussquamouscellcarcinoma)hasreducedsignificantlywiththeuseof64
immunohistochemicalmarkers.Theuseofmarkersforp63,p40andcytokeratinCK5/6help65
to identify squamouscell carcinomas,while thyroid transcription factor1 (TTF1),NapsinA66
and CK7, as well as mucin stains, are indicative of adenocarcinomas.(14) However67
interpretationofimmunohistochemistrypanelsstillrequirestheexpertiseofanexperienced68
histopathologist, as markers are not reliable in isolation.(15) TTF1 for example, a marker69
3
synonymouswithadenocarcinoma, is expressed inonly80-90%of cases and is commonly70
expressedinneuroendocrinetumours.(14,16)Immunohistochemistrycanonlybemeaningfully71
interpretedinadetailedmorphologicalcontext.72
73
SamplingchallengesinadvancedNSCLC7475Theanalysisof lungcancer tissue isparticularlychallengingasprimary lungtumoursoften76
show much lower tumour cellularity than other tumour types. Even with macroscopic77selection of areas of frank carcinoma the tumour purity (the fraction of a given region78
containingtumourcells)canoftenbe<20%becauseofthehighproportionofstromalcells,79
lymphocytic infiltrationandnecrosis(unpublishedobservationsfromtheUKLungTRACERx80
longitudinalcohortstudy).(17).81
82
This challenge is compounded by the nature of the specimen types routinely received by83
histopathologyandmoleculardiagnosticslaboratories.Presentationwithmetastaticdisease84
is common and only a small proportion of patients with NSCLC undergo curative surgical85
resection.(18) The large tissue samples obtained via open thoracotomy (wedge resection,86
lobectomy,pneumonectomy)areusuallyofsufficientquantityandquality foranumberof87
histologicalandmolecularassaysifhandledappropriately.Howeverpatientswithadvanced88
diseasearepredominatelydiagnosedwithCTguidedpercutaneousorUSguidedendoscopic89
biopsywith18gaugeneedlesorwithfineneedleaspiration.Thesepatientsarethecohort90
wheremoleculardiagnosticsaremost important fordetermining thestandardofcareand91enablingparticipationinclinicaltrialsyetthesamplequalityandquantityfromsuchneedle92
biopsiesisthemostlimitingforhistologicalandmoleculartesting.93
94
Obtainingadequatetissuefordiagnosis,tissuesub-typing,molecularprofilingandtreatment95
planningarethereforekeytopatientmanagement.Thetargettumour isnotalwayseasily96
accessible in patients presenting with a probable lung cancer. The development of97
endobronchial ultrasound transbronchial needle aspiration (EBUS-TBNA) is proving98
increasingly important in the investigationandmanagementof thoracicmalignanciesas it99
offersaminimally invasiveapproach to samplingofmediastinal lymphnodesandmasses.100
EBUS-TBNAisnowincreasinglyembeddedinroutineclinicalpracticewithwiderusebeyond101
high volume tertiary centres in theUK andUSA. It is now generally accepted that EBUS-102
TBNAaloneorincombinationwithendoscopicultrasoundfineneedleaspiration(EUS-FNA)103
canpotentiallysparesurgicalmediastinoscopyorthoracotomyinthestagingofNSCLC.(19,20)104
4
Importantly,EBUS-TBNAalsooffers thepossibilityof combiningdiagnosisandstagingasa105
single procedure in patients with suspected lung cancer. In contrast to tissue biopsies or106
surgicalsamplesthatallowsub-typing(adenocarcinomaversussquamouscellcarcinoma)on107
morphological criteria alone in themajority of cases, evaluation of cytological specimens108
obtainedbyEBUS-TBNAposesadditionalchallengesthatcanbepartlyovercomewithwider109
useofimmunohistochemistry.(21)110
111Identifying driver mutations, such as EGFR and ALK, in these small samples is central to112
managementofpatientswithadvanceddisease.Whethermolecularanalysisissuccessfully113
performeddependsontheabsolutenumberoftumourcells,theproportionoftumourcells114
compared to total nucleated cells present and themethodused formolecular analysis. In115
caseofEBUS-derivedsamples, there isevidencetoconcludethatsimplemutationanalysis116
(EGFR,KRAS,ALK)canbesuccessfullyperformedinmostcases.(22-24)Theuseofmulti-gene117
targeted NGS panels, using only nanograms of DNA, to sequence fine needle aspiration118
samplesisachievableandisbecomingmorecommonlyusedinclinicalpractice.(25,26)Whole119
exome sequencing (WES) and whole genome sequencing (WGS) analysis which require120
greater amounts of DNA,micrograms in the case ofWGS, will bemore challenging from121
EBUS-TBNAsamples.122
123
124CurrentchallengesinmoleculardiagnosticsforEGFRmutationanalysisinclinicalpractice125
126
The initial randomised phase II studies of gefitinib demonstrated clinical activity,(27,28) and127
phaseIIIstudiesalthoughnegativefortheprimaryoutcomemeasure,suggestedabenefitin128
patients with adenocarcinoma, those of Asian origin and never smokers.(29,30) During this129
periodanumberofseminalcaseseriesidentifiedEGFRmutationsasamarkerofsensitivity130
to EGFR TKIs,(31-33) and analysis of samples from these early trials supported this.(34)131
Subsequent phase III trials have incorporated EGFR mutation status and showed higher132
responseratesandprogressionfreesurvival (PFS) inpatientswithEGFRactivatingsomatic133
mutationstreatedwithEGFRTKIscomparedtowhentreatedwithchemotherapy.(8,9,35)134
135
Developmentofdiversemechanismsofresistanceandselectionofresistantclonesin136
responsetotreatment137ThecommonEGFRmutationsarelocatedinthetyrosinekinasedomain(exon18-21)ofthe138
5
EGFRgene,withdetectionof L858Randdeletions inexon19 the clinicalpriority as these139
determinesensitivitytofirstandsecondgenerationTKIs.(36)TheT790Mmutationinexon20140
results in resistance to these therapies.(37) Sensitive assays suggest that tumour clones141
harbouringtheT790Mmutationareoftendetectablepriortoinitiationofafirstgeneration142
TKIbutcanalsooccurbygeneticevolutioninT790Mmutationnegativedrugtolerantcellsin143
response to treatment.(38-40) Identification of this resistance mutation is more critical144
followingthedevelopmentofthethirdgenerationEGFRTKIsactiveagainstT790Mmutation145positive NSCLCs.(41,42) But whether these T790M resistant clones pre-exist or evolve in146
response to treatment may have clinical implications with differing sensitivities to third147
generationTKIs.(40) The capacity for tumours toevolve in response to first generationTKIs148
results in anadditionaldiversearrayofmechanismsof resistance suchas amplificationof149
MET, selection for PIK3CA or BRAF mutations and transformation to a small cell150
phenotype.(43)Clearly,cancerevolutionandselectionofresistantsubclonesisnotrestricted151
to first generation TKIs. This is highlighted by recent reports of the emergence of T790M152
mutation negative disease and the development of novel secondary EGFR resistance153
mutations (C797S) after treatment of T790M mutation positive patients with third154
generationTKIs.(44,45)155
156
EGFRmutationtesting157
The nature of EGFR sensitizingmutations, being single nucleotide variants (SNV) or short158deletions, lends themselves to molecular analysis of formalin fixed small samples which159
contain fragmented DNA.(46) There are a variety of methods to detect EGFR mutations160
including conventional Sanger sequencing, amplification refractory mutations systems161
(ARMS), restriction fragment lengthpolymorphismsandmore recently aspartof targeted162
NGS panels.(47,48) Reporting the limitations of an assay along with the result is critical for163
clinicalinterpretation.Bi-directionalSangersequencingwithoutamutationenrichmentstep164
hasalowerlimitofdetectionof10-25%oftotalDNAmeaningthattheuseofsampleswith165
low tumour cellularity can result in falsenegativemutation calls. Consequently theuseof166
methods that can detect mutations in low tumour cellularity samples (<10%) is167
recommended.Polymerasechainreaction(PCR)basedultrasensitiveandNGSmethodscan168
generateartefactmutations leadingtofalsepositiveresults. Howevertechniques,suchas169
duplexsequencing,arebeingdevelopedtoovercometheinherenterrorrateinsequencing170
technologis(49) Formalin fixed samples are particularly prone to DNA damage and display171disproportionate levelsofC>T/G>Achanges inthe1-10%allelefrequencyrangewhichcan172
6
result in falsepositivemutationcalls.(50)Publicationof clinical trials resultson response to173
EGFR TKI in patients with real but less common EGFR mutations can help guide clinical174
decision-making.(51)Detectionof EGFRmutations aspart of aWESorWGSanalysis allows175
multiple driver mutations to be queried simultaneously but the performance of176
bioinformaticstoolstocallmutationsfromNGSdatavaries. Suchcomplexitiesneedtobe177
considered as these technologies are increasingly adopted into mainstream clinical178
practice.(52-54)179180
EGFRmutations,resistanceandtumourheterogeneity181
ThereareveryfewreportsofdiscordanceofEGFRmutationstatusbetweenprimarydisease182
andmetastaticsitesandthesemaybeduetotechnicallimitationsoftheassaysused.(55)Loss183
oftheEGFRmutationwasnotamechanismseeninseminalstudies.(43)Studieslookingatthe184
extent of intra tumour heterogeneity (ITH) in early lung cancer have shown EGFR to be185
exclusivelyaclonaleventprevalentthroughoutthetumour.(56,57)AsresistancetoEGFRTKIis186
usually due to acquisition of secondarymutations in EGFR or other driver genes the key187
challenge at the time of disease progression is to obtain a contemporaneous sample to188
informselectionofsecondlinetherapy.Ingeneralthemosteasilyaccessiblelesionisused189
butinpatientswithapoorperformancestatusthismaynotbeatrivialtask.Duetotumour190
heterogeneityitispossiblethatasinglesamplemaybeinsufficienttoaccuratelyrepresent191
all the resistance mechanisms present or the breadth of subclonal driver events present192acrossmultiplediseasesitesfollowingprogressionontherapy.193
194
CurrentchallengesinmoleculardiagnosticsforALKtestinginclinicalpractice195
196
Thediscoveryofanoncogenicanaplasticlymphomakinasefusiongene(EML4-ALK)in2007197
identified another importantmolecular cohort inNSCLC.(58) Present in 2-7%ofNSCLCALK198
fusiongenesarerestrictedtoadenocarcinomasubtypesandaremorecommoninyounger199
patients and never-smokers.(59-61) Identification of this cohort is critical given the high200
response rates (57-74%) to ALK inhibition both as a first line therapy and after platinum-201
based chemotherapy.(59,62,63) Subsequently other rare fusion genes have been identified202
involving ROS1, with similar exquisite sensitivity to kinase inhibition,(64) but also RET and203
NTRKwhereobjectiveresponseratesarelower.(65,66)204
205ALKfusiongenedetection206
7
TestingforALKfusiongenesbrings itsownparticularsetofchallenges.ALK isactivatedby207
genomic rearrangement, leading to the expression of a chimeric protein containing the208
effectorpartoftheALKtyrosinekinasefusedtotheproximalportionofanotherprotein.In209
NSCLCcancerthisistypicallyabalancedtranslocationwiththeubiquitouslyhighlyexpressed210
EML4gene,(58)althoughrarelyotherpartnergenesmaybe involved.(67,68)Expressionofthe211
chimericproteinleadstoupregulationofmitogenicsignallingthroughtheRAS/RAFpathway212
and interruption of this pathway by ALK inhibitors causes cancer cell death and tumour213regression.(62) ALK-mutated tumours often show unusual features on conventional214
microscopy,suchascribriformgrowthpatternsand‘signetring’cellswithlargevacuoles,(69)215
butthisisnotsufficientlysensitiveorspecifictoguidetreatment.216
217
The first widely adopted test for ALK-driven tumours was FISH (fluorescence in situ218
hybridisation),approvedbytheFDA(USFoodandDrugAdministration)in2011.(70)FISHisa219
technically demanding method, requiring specialised equipment and experienced220
practitioners.Tissuesectionsorcytologyspecimensaresubjectedtoaprotocol that labels221
eithersideoftheALKbreakpointlocuswithredandgreenfluorescentDNAprobes.Innon-222
transformedcellnucleithecoloureddotsoverlapandlookyellow,whileintranslocatedcells223
isolated red and/or green signals are seen. For a reliable FISH assay the tissue must be224
adequate inquantity andquality. This canbemore challengingwith small biopsy samples225
whichmaycontainfewcellsorwhichshowcrushingartefactsthatcanimpairinterpretation.226227
In 2015, an immunohistochemistry method was approved by the FDA. This approach is228
simpler in principle, using an antibody stain to detect abnormal ALK antigen expression.229
However, currently available antibodies do not give a strong signal and so an additional230
signalamplificationstepsneedstobeemployed.Thisplacesthetestbeyondthecapacityof231
many small labs.Nonetheless, themodified test is cheaper than FISH, easier to interpret,232
and has the theoretical advantage of additionally detecting ALK expression following rare233
atypical rearrangements. After much investigation, recent studies suggest234
immunohistochemistrycanbeanadequatestand-alonediagnostic,showingextremelyhigh235
concordancewith FISH.(71) UK guidelines do not dictatewhich test should be applied, and236
practices vary regionally, though FISH is still often regarded as the ‘gold standard’ and is237
considered thedefinitive test in theUS.(48)Asourunderstandingof tumour taxonomyand238
genotypesadvances, it seems inevitable that some formofNGSplatformwillbecome the239clinical standard for gene fusiondetection.(72) Thesemethodshave thepotential todetect240
8
ALK(andother)rearrangementsineitheratargetedpaneloraWESorWGSapproach.(73,74)241(72)242
243
ALKfusiongenes,resistanceandtumourheterogeneity244
ALK fusion genes are considered to be clonal events with minimal discordance between245
primaryandmetastaticlesions.(75)TheywereconsideredtobemutuallyexclusivewithEGFR246
mutations however recent reports suggests a smallminority of tumours can contain both247ALK and EGFR positive clones.(76-78) The mechanisms of resistance seen following ALK248
inhibitortherapyagaindemonstratetumourevolutionwithsecondarymutationsinALK,ALK249
copynumbergain,secondarydrivermutationsinothergenesandoutgrowthofALKfusion250
gene negative clones reported.(79-82) Consequently contemporaneous sampling of251
progressivedisease,byneedlebiopsyoranalysisofcfDNA,mayallowrealtimeanalysisof252
tumourevolutionandguidetherapy.253
254
Integrationofmulti-geneNGStestinginclinicalpractice255
Routinemolecularprofilingcanbeperformedatscaleonanationallevel.Largecooperative256
efforts in France and the USA used combinations of mutation specific PCRs, Sanger257
sequencingandFISHanalysistoassay6-10oncogenicdriversinthousandsofpatientswith258
NSCLC and survival was improved for those treated with gene directed targeted259
therapies.(83,84) The use of next generation sequencing to simultaneously assay multiple260oncogenicdriversisattractivebecauselessDNAisrequiredcomparedtomultipleindividual261
assays, there is a reduction in hands-on laboratory time, and complex FISH analysis for262
detectionoffusiongenesmaybeavoided.ArecentNGSapproachusedanampliconbased263
approach to assay 14 genes used only 50ng of DNA from FFPE samples.(85) This study264
providedacomprehensiveassessmentofthespectrumofmutations,andco-occurrenceof265
mutations, in adenocarcinoma and squamous cell carcinomaswith detection turn around266
timesoflessthantwoweeks.ThesestudiesandthoseofTheCancerGenomeAtlashighlight267
theinter-patientmolecularheterogeneityofNSCLC(Figure2).Evenwithinthesemolecular268
cohorts intra-tumour heterogeneity could have significant effects on outcome as269
exemplified by a recent study showing that the clonality of FGFR amplification is an270
importantpredictorofresponsetoFGFRinhibition.(86)Adeeperunderstandingoftheclonal271
or subclonal nature of driver events in NSCLC from sufficiently powered studies, is still272
awaited. Recruitment of patients with rare mutations to molecularly stratified trials is273challenging,(87) and some advocate that modifications to existing paradigms in drug274
9
development are required in the eraof genomic studies andprecisionmedicine.(88)Multi-275
geneorWESNGSassaysarelikelytobecomestandardpracticeintheyearstocomeandthe276
ultimatelyautomatedprovisionofreadable,applicablereportsofcomplexgenomicdata is277
anotherimportantchallenge.278
279
CurrentchallengesinmoleculardiagnosticsforPDL1testinginclinicalpractice280
281Activation of inhibitory T cell checkpoint interactions in established tumours has been282
demonstratedinanumberofsolidtumours,includingNSCLC,andthissuppressestheanti-283
tumour immune response.(89,90) The aim of immunotherapy using antagonists of these284
inhibitoryTcellcheckpointinteractionsistoreactivateanti-tumourimmunity.PDL1(B7-H1)285
isa ligandpresentonantigenpresentingcells (APCs), including tumourcells that interacts286
withitsreceptor(PD-1)onTcellsandinhibitsTcelleffectorfunctions.PD-1andCD8positive287
effectorTcellpopulationarethoughttobethetumourreactivesubsetresponsibleforanti-288
tumourimmunity.(91)Thereislimitedknowledgeofthespatialorfunctionalheterogeneityof289
tumour infiltrating lymphocyte (TIL) populations and the T cell checkpoint ligand-receptor290
interactionswithinsolidtumours.291
292
Recent randomised trials have shown activity of PD1 and PDL1 targeting antibodies in293
squamous and non-squamous NSCLC.(92-96) In most instances these agents have shown294greateractivity inpatientswhosetumourexpressesPDL1whentestedusing IHC.However295
durable responsesareseen inpatientswithoutPDL1expression.This isunsurprisinggiven296
thetechnicalandspatialheterogeneityofPDL1expressioninNSCLC,whichhampersitsuse297
asapredictivebiomarker.(97-99)StudiesoftheexpressionofPDL1onAPCsinNSCLCarealso298
contradictorywith respect to any correlationwith tumour infiltration of the effector CD8299
positiveTcells.(89,97,98)300
301
Regulation of PDL1 expression is complex and controlled by both cell intrinsic and cell302
extrinsic factors.(100) This means that oncogene driven expression of PDL1 can result in303
increased expression in the absence of significant underlying immunogenicity.(101) This304
underlying immunogenicity is thought to be a result of non-synonymous SNVs which305
generate neoantigens, mutated proteins, recognised by the TIL population.(102,103) The306
number of neoantigens harboured by a tumour could act as a potential biomarker for307immunotherapy although there are technical challenges inherent with such complex308
10
assessments.Recentdataalsosuggestthatneo-antigenintratumourheterogeneitymayalso309
beassociatedwithalteredcheckpointinhibitorresponse,whichmayfurthercomplicatethe310
useofsuchassaysinaclinicalsetting.(104)311
312
The advent of immunotherapy presents additional challenges formolecular diagnostics in313
NSCLC.Although IHC for PDL1 canbeperformedon the small samples oftenused in lung314
cancerdiagnosticsthereistheriskofsignificantsamplingbiasbecauseofITH.Thedynamic315nature of PDL1 gene expression,(105,106) means a contemporaneous sample obtained by316
repeatbiopsymaybe themostaccurateaddingadditionalburdenandexpense tocurrent317
clinicalpathways.Characterisationofneo-antigensasapotentialbiomarkerwould require318
sufficient tumourDNA forWESandcarries significantexpensebutgiven thecostof these319
therapieswouldbe justified if theassayweresufficientlypredictive.Howeverneo-antigen320
prediction algorithms are still in their infancy and evidence suggests that there are a321
proportionofpatientswhoderivenoclinicalbenefitfromcheckpointinhibitortherapy,yet322
have tumourswithaneo-antigenburdenabove thresholds associatedwith sensitivity and323
converselypatientswithlowneo-antigenburdenwhobenefit.324
325
Moleculardiagnosticsinpractice:TheUnitedKingdomNationalLungMatrixTrial326
327
The Cancer Research UK Stratified Medicine Programme 2 (SMP2) screens samples from328advanced NSCLC patients using NGS for known drivers that are considered clinically329
actionable.TheaimofSMP2istoestablishhigh-throughputandqualitygenomicscreening330
atanational level intheUK.Basedontheseresults,patientsarerecruitedtoTheNational331
Lung Matrix Trial (NLMT) (NCT02664935) a phase II umbrella study with both targeted332
therapyandimmunotherapyarmsforpatientswhohaveprogressedonfirstlinetherapy.(107)333
In comparison, the Lung-MAP (NCT02154490) and SAFIR02 Lung trial (NCT02117167) are334
umbrellastudies,outsideoftheUK,forpatientswithNSCLCwhererecruitmentispreceded335
bymolecularstratification(Table1).336
337
SMP2 molecular pathology workflow utilises DNA from excess diagnostic biopsy tissue.338
Sections are sent from the referring clinical site and extracted by one of three central339
technologyhubs.SampleswithsufficientamountsofDNA(>50ng)arethenanalysedusinga340
custom 28-gene targeted NGS panel. Having successfully screened over 1000 patients,341patterns of mutation and prevalence are emerging across the genomic and clinical data.342
11
Preliminary analysis indicates prevalence and distribution of SNVs consistent to published343
reports, including 31.6% KRAS (of which 19.7% show concomitant STK11 mutation) and344
15.1%EGFRmutations inpatientswithadenocarcinoma.Overthepastyear,SMP2has led345
to the recruitment of over 60 patients to the NLMT. A number of detailed audits have346
identified areas of improvement along the SMP2 pathway; from patient recruitment, to347
samplepreparationandresultanalysis.348
349Whilst utilising excess DNA from the FFPE diagnostic biopsy has significant advantage for350
patients and clinical workload (as repeat biopsies are not required), only 70% of samples351
senthavesufficientDNAtoenterthesequencingpipeline.ThisisinpartduetoFFPEblocks352
being exhausted during the diagnostic process and a general reduction in the size of353
diagnosticcoresovertime.Consequentlytheminimumnumberofsectionshassincebeen354
increasedtoensureenoughDNAisobtainedupfront.SomerecruitingcentresquantifyDNA355
upfront,which allows a faster feedback loop if insufficientDNA is present. Sites can then356
obtain additional sample from the diagnostic block or through re-biopsy, if appropriate.357
However, differences in quantification methodology between local clinical centres and358
central technologyhubshave led to samplesbeing sentwith less than the required50ng,359
resulting some of these samples failing quality control metrics prior to sequencing. As a360
result changes in extraction methods and a standardized DNA concentration have been361
introduced.362363
Unique toNLMT is theneed todeterminewild type statusof somegenes foreligibility to364
certainarms.PatientsrecruitedtotheCDK4/6inhibitorpalbociclibarmmusthavewildtype365
retinoblastoma 1 protein (RB1) in addition to deficiencies in cell cycle regulation. The366
determinationofwildtypestatusrequiresapre-sequencingassessmentoftumourcellularity367
todetermineappropriatesequencingdepth.Howevertherecanbesignificantdiscordance368
between pathologist assessments of this.(108) Clearer guidance and online training should369
ensuremoreconcordanceforvisualassessment,whilstdigitalsolutionsmayprovideauseful370
alternative.Anumberofcomputationalmethodsexisttoassesstumourpurityandcontrol371
forbothstromalcelladmixtureandcancercellploidyinDNAsamplesfromnextgeneration372
sequencingdata.(109,110)373
374
Extremes of GC nucleotide content in certain genes (RB1 and FGFR3) can result in an375increasednumberof sequencing failures.Additionalprobe coverage in the targetedpanel376
12
and correction for GC content in the data processing stagewill improve results for these377
difficulttosequenceregions.Followingtheseincrementalimprovementsateachstepofthe378
molecularpathologyworkflowwehave shown that thenumberof successfully sequenced379
samples thatwould allow recruitment to theNLMT increased and therehas alsobeen an380
increaseinidentificationofpotentiallyactionablemutationsthatwouldpermitrecruitment381
totrialsotherthantheNLMT.382
383Futuresolutions384
385
Understandingtumourheterogeneityandcancerevolution386
Atpresentthetechnicallimitationofthesmall,andpotentiallylowtumourcellularityNSCLC387
samples, obtained from bronchoscopic and EBUS-TBNA samples means that the main388
challenge facing clinicians and pathologists is the need for ever greater amounts of389
informationfromdiminishingamountsoftissue.Itisthereforeimperativethatthequalityof390
diagnostic samples in the advanced NSCLC setting is of the highest order. How best to391
achievethisrepresentsachallengeforhealthserviceprovidersthathasreceivedverylittle392
attention thus far.However the spectreof ITHand cancer evolutionmeans that sampling393
biasandthepresenceofsubclonaldrivermutations,causingresistancetotherapy,arelikely394
to hinder clinical benefit of targeted therapeutics.(111,112) The UK Lung TRAcking Cancer395
EvolutionthroughTherapytrial(NCT01888601)iscurrentlycharacterizingtheextentofITH396in early surgically resected NSCLC and with longitudinal follow-up aims to determine the397
originsoftumoursubclonescontributingtorelapse.(17)Thereisevidencefromothertumour398
typesofparallelevolution,acquisitionofmutationsinthesamegeneorsignallingpathway399
in distinct subclones, that may highlight an ‘evolutionary bottle neck’ that could be an400
Achilles heel for subsequent cancer therapy.(113-115) Clonal analyses of a drug target and401
putativeresistanceevents,whethertheyarepresentinalltumorcellsoronlyaproportion,402
mayaffect the response rateandprogression free survival timeson targeted therapyand403
this is being addressed in clinical trials including the DARWIN studies (NCT02314481,404
NCT02183883). Ultimately it may be that only through ‘warm’ autopsy studies, where405
subclonal phylogenetic structures can be determined through sampling multiple sites of406
disease,thateffectivestrategiestoforestallcancerevolutioncanbeelucidated.(116)407
408
Circulatingbiomarkers409The use of minimally invasive methods to detect mutations in circulating cell-free DNA410
13
(cfDNA)or‘liquidbiopsies’offersthepotentialtoobtainamutationcallinapatientwhere411
an invasive biopsymay not be feasible. As tumour DNA from all sites of disease has the412
potential to enter the blood stream it may also be a better reflection of tumour413
heterogeneitythanasinglebiopsy.(117,118)TheuseofcfDNAtodetectresistancemechanisms414
in patients treated with EGFR TKIs, often prior to radiographic progression, has been415
demonstrated.(45,119,120)Thishasresultedinthedevelopmentandapprovalofacommercially416
available assay of cfDNA in plasma that can detect a spectrum of EGFR mutations in417includingtheT790MmutationamenabletotargetingwiththirdgenerationTKIs.418
419
Circulating tumour cells (CTCs) are tumour cells that can be isolated from the peripheral420
bloodandareacomplementarycirculatingbiomarker tocfDNA. CTCsareaversatile tool,421
cellenumerationcanbeprognostic,immunohistochemistrypermitsfurthercharacterization,422
singlecellDNAorRNAsequencing ispossibleand tumourxenografts canbegenerated to423
assess drug response.(121-125) However at present the complexity of separation from other424
cellsintheperipheralcirculationandtheneedtoprocesssamplespromptlyforfunctionalor425
genomic studies results in greater expense in comparison to cfDNA analysis. Circulating426
biomarkers will make a significant impact on cancermanagement in the near future and427
readers are directed to more extensive reviews focusing on CTCs, cfDNA and other428
circulatingnucleotides.(121,126-129)429
430Conclusion431
ThechallengesformoleculardiagnosticsinNSCLCarelargelyparalleledacrossothertumour432
types.Resolvingtheseissueswillrequiretechnologyimprovementsinadditiontoagreater433
understanding of tumour biology. The logistical challenges of implementing the next434
generationofmoleculardiagnostics intoclinicalpracticeareequallyaschallenging.Clinical435
governance, information technology infrastructure, data storage, pathways in sample436
processing and training and professional developments in histopathology, respiratory437
medicineandoncologywillneedinvestment.Withthesegreatchallengescomessignificant438
opportunity to improvethesuccess rateandefficiencyofdrugdevelopment inNSCLCand439
ultimatelypatientoutcomes.440
441
Conflictsofinterest:None442
14
Figure1:Summaryofthekeytechnical,logisticalandbiologicalchallengesformoleculartestinginNSCLC.Figure2:Piechartsshowingtheapproximatedistributionofclinicallyrelevantdrivermutationsidentified to date in individuals with NSCLC. The genomic variants shown are potentiallyclinically actionable variants.(130) Theproportionspresentedarebasedonestimates from thereferenced studies and data sources, including the Stratified Medicine Programme 2(unpublisheddata).(2,3,85,131)ThesestudiesexamineSNVs,copynumbervariantsandgenefusionproductsusingdifferentsequencingtechnologiesandsequencingdepthresultingininter-studyvariation and therefore the data is presented in aggregate form and represents anapproximation.CCGA(Cellcyclegenomicaberration);lossofCyclin-DependentKinaseInhibitor2A or amplification of Cyclin-Dependent Kinase 4 or Cyclin D1 in the presence of wildtypeRB1.(107) EGFR, Epidermal growth factor receptor; LKB1, Liver Kinase B1; ALK, anaplasticlymphoma kinase; MET, MET Proto-Oncogene, Receptor Tyrosine Kinase; FGFR, fibroblasticgrowth factor receptor; NRAS, neuroblastoma RAS viral (v-ras) oncogene homolog; DDR2Discoidin Domain Receptor Tyrosine Kinase 2; AKT1, v-akt murine thymoma viral oncogenehomolog 1; PTEN, Phosphatase And Tensin Homolog; PIK3CA, phosphoinositide-3-kinase,catalytic, α polypeptide; BRAF, v-raf murine sarcoma viral oncogene homolog B1; ERBB2,humanepidermalgrowthfactorreceptor2;KRAS,v-Ki-ras2Kirstenratsarcomaviraloncogenehomolog;TP53,TumorProteinP53.Table1:ComparisonofmolecularlystratifiedumbrellastudiesinNSCLC.PFS=progressionfreesurvival, ORR = objective response rate, R = randomised, NR = non-randomised, SCC =squamouscellcarcinoma,CCGA=cellcyclegenomicaberration.
15
REFERENCES
1. LungCancerKeyStatistics.UnitedKingdom:CancerResearchUK,2015.
2. CancerGenomeAtlasResearchN.Comprehensivegenomiccharacterizationofsquamouscelllungcancers.Nature.2012;489(7417):519-25.
3. CancerGenomeAtlasResearchN.Comprehensivemolecularprofilingoflungadenocarcinoma.Nature.2014;511(7511):543-50.
4. SwantonC,GovindanR.ClinicalImplicationsofGenomicDiscoveriesinLungCancer.TheNewEnglandjournalofmedicine.2016;374(19):1864-73.
5. SchillerJH,HarringtonD,BelaniCP,etal.Comparisonoffourchemotherapyregimensforadvancednon-small-celllungcancer.TheNewEnglandjournalofmedicine.2002;346(2):92-8.
6. ScagliottiGV,DeMarinisF,RinaldiM,etal.PhaseIIIrandomizedtrialcomparingthreeplatinum-baseddoubletsinadvancednon-small-celllungcancer.Journalofclinicaloncology:officialjournaloftheAmericanSocietyofClinicalOncology.2002;20(21):4285-91.
7. KellyK,CrowleyJ,BunnPA,Jr.,etal.RandomizedphaseIIItrialofpaclitaxelpluscarboplatinversusvinorelbinepluscisplatininthetreatmentofpatientswithadvancednon--small-celllungcancer:aSouthwestOncologyGrouptrial.Journalofclinicaloncology:officialjournaloftheAmericanSocietyofClinicalOncology.2001;19(13):3210-8.
8. MokTS,WuYL,ThongprasertS,etal.Gefitiniborcarboplatin-paclitaxelinpulmonaryadenocarcinoma.TheNewEnglandjournalofmedicine.2009;361(10):947-57.
9. RosellR,CarcerenyE,GervaisR,etal.Erlotinibversusstandardchemotherapyasfirst-linetreatmentforEuropeanpatientswithadvancedEGFRmutation-positivenon-small-celllungcancer(EURTAC):amulticentre,open-label,randomisedphase3trial.Thelancetoncology.2012;13(3):239-46.
10. CiuleanuT,BrodowiczT,ZielinskiC,etal.Maintenancepemetrexedplusbestsupportivecareversusplaceboplusbestsupportivecarefornon-small-celllungcancer:arandomised,double-blind,phase3study.Lancet.2009;374(9699):1432-40.
11. ScagliottiGV,ParikhP,vonPawelJ,etal.PhaseIIIstudycomparingcisplatinplusgemcitabinewithcisplatinpluspemetrexedinchemotherapy-naivepatientswithadvanced-stagenon-small-celllungcancer.Journalofclinicaloncology:officialjournaloftheAmericanSocietyofClinicalOncology.2008;26(21):3543-51.
12. ReckM,PopatS,ReinmuthN,etal.Metastaticnon-small-celllungcancer(NSCLC):ESMOClinicalPracticeGuidelinesfordiagnosis,treatmentandfollow-up.Annalsofoncology:officialjournaloftheEuropeanSocietyforMedicalOncology/ESMO.2014;25Suppl3:iii27-39.
13. MastersGA,TeminS,AzzoliCG,etal.SystemicTherapyforStageIVNon-Small-CellLungCancer:AmericanSocietyofClinicalOncologyClinicalPracticeGuidelineUpdate.Journalofclinicaloncology:officialjournaloftheAmericanSocietyofClinicalOncology.2015;33(30):3488-515.
16
14. KerrKM,BubendorfL,EdelmanMJ,etal.SecondESMOconsensusconferenceonlungcancer:pathologyandmolecularbiomarkersfornon-small-celllungcancer.Annalsofoncology:officialjournaloftheEuropeanSocietyforMedicalOncology/ESMO.2014;25(9):1681-90.
15. TerryJ,LeungS,LaskinJ,LeslieKO,GownAM,IonescuDN.Optimalimmunohistochemicalmarkersfordistinguishinglungadenocarcinomasfromsquamouscellcarcinomasinsmalltumorsamples.AmJSurgPathol.2010;34(12):1805-11.
16. ZhangC,SchmidtLA,HatanakaK,ThomasD,LagsteinA,MyersJL.EvaluationofnapsinA,TTF-1,p63,p40,andCK5/6immunohistochemicalstainsinpulmonaryneuroendocrinetumors.AmJClinPathol.2014;142(3):320-4.
17. Jamal-HanjaniM,HackshawA,NgaiY,etal.Trackinggenomiccancerevolutionforprecisionmedicine:thelungTRACERxstudy.PLoSbiology.2014;12(7):e1001906.
18. AuditNLC.NLCAAnnualReport.London:RoyalCollegeofPhysicians,2015.
19. RiveraMP,MehtaAC,WahidiMM.Establishingthediagnosisoflungcancer:Diagnosisandmanagementoflungcancer,3rded:AmericanCollegeofChestPhysiciansevidence-basedclinicalpracticeguidelines.Chest.2013;143(5Suppl):e142S-65S.
20. KinseyCM,ArenbergDA.Endobronchialultrasound-guidedtransbronchialneedleaspirationfornon-smallcelllungcancerstaging.AmJRespirCritCareMed.2014;189(6):640-9.
21. NavaniN,BrownJM,NankivellM,etal.Suitabilityofendobronchialultrasound-guidedtransbronchialneedleaspirationspecimensforsubtypingandgenotypingofnon-smallcelllungcancer:amulticenterstudyof774patients.AmJRespirCritCareMed.2012;185(12):1316-22.
22. SantisG,AngellR,NicklessG,etal.ScreeningforEGFRandKRASmutationsinendobronchialultrasoundderivedtransbronchialneedleaspiratesinnon-smallcelllungcancerusingCOLD-PCR.PLoSOne.2011;6(9):e25191.
23. NakajimaT,YasufukuK,NakagawaraA,KimuraH,YoshinoI.Multigenemutationanalysisofmetastaticlymphnodesinnon-smallcelllungcancerdiagnosedbyendobronchialultrasound-guidedtransbronchialneedleaspiration.Chest.2011;140(5):1319-24.
24. vanEijkR,LichtJ,SchrumpfM,etal.RapidKRAS,EGFR,BRAFandPIK3CAmutationanalysisoffineneedleaspiratesfromnon-small-celllungcancerusingallele-specificqPCR.PLoSOne.2011;6(3):e17791.
25. Kanagal-ShamannaR,PortierBP,SinghRR,etal.Next-generationsequencing-basedmulti-genemutationprofilingofsolidtumorsusingfineneedleaspirationsamples:promisesandchallengesforroutineclinicaldiagnostics.ModPathol.2014;27(2):314-27.
26. QiuT,GuoH,ZhaoH,WangL,ZhangZ.Next-generationsequencingformoleculardiagnosisoflungadenocarcinomaspecimensobtainedbyfineneedleaspirationcytology.Scientificreports.2015;5:11317.
27. KrisMG,NataleRB,HerbstRS,etal.Efficacyofgefitinib,aninhibitoroftheepidermalgrowthfactorreceptortyrosinekinase,insymptomaticpatientswithnon-smallcelllungcancer:arandomizedtrial.JAMA.2003;290(16):2149-58.
17
28. FukuokaM,YanoS,GiacconeG,etal.Multi-institutionalrandomizedphaseIItrialofgefitinibforpreviouslytreatedpatientswithadvancednon-small-celllungcancer(TheIDEAL1Trial)[corrected].Journalofclinicaloncology:officialjournaloftheAmericanSocietyofClinicalOncology.2003;21(12):2237-46.
29. ThatcherN,ChangA,ParikhP,etal.Gefitinibplusbestsupportivecareinpreviouslytreatedpatientswithrefractoryadvancednon-small-celllungcancer:resultsfromarandomised,placebo-controlled,multicentrestudy(IressaSurvivalEvaluationinLungCancer).Lancet.2005;366(9496):1527-37.
30. GiacconeG,HerbstRS,ManegoldC,etal.Gefitinibincombinationwithgemcitabineandcisplatininadvancednon-small-celllungcancer:aphaseIIItrial--INTACT1.Journalofclinicaloncology:officialjournaloftheAmericanSocietyofClinicalOncology.2004;22(5):777-84.
31. LynchTJ,BellDW,SordellaR,etal.Activatingmutationsintheepidermalgrowthfactorreceptorunderlyingresponsivenessofnon-small-celllungcancertogefitinib.TheNewEnglandjournalofmedicine.2004;350(21):2129-39.
32. PaezJG,JannePA,LeeJC,etal.EGFRmutationsinlungcancer:correlationwithclinicalresponsetogefitinibtherapy.Science(NewYork,NY.2004;304(5676):1497-500.
33. PaoW,MillerV,ZakowskiM,etal.EGFreceptorgenemutationsarecommoninlungcancersfrom"neversmokers"andareassociatedwithsensitivityoftumorstogefitinibanderlotinib.ProceedingsoftheNationalAcademyofSciencesoftheUnitedStatesofAmerica.2004;101(36):13306-11.
34. BellDW,LynchTJ,HaserlatSM,etal.Epidermalgrowthfactorreceptormutationsandgeneamplificationinnon-small-celllungcancer:molecularanalysisoftheIDEAL/INTACTgefitinibtrials.Journalofclinicaloncology:officialjournaloftheAmericanSocietyofClinicalOncology.2005;23(31):8081-92.
35. YangJC,WuYL,SchulerM,etal.Afatinibversuscisplatin-basedchemotherapyforEGFRmutation-positivelungadenocarcinoma(LUX-Lung3andLUX-Lung6):analysisofoverallsurvivaldatafromtworandomised,phase3trials.Thelancetoncology.2015;16(2):141-51.
36. SharmaSV,BellDW,SettlemanJ,HaberDA.Epidermalgrowthfactorreceptormutationsinlungcancer.NaturereviewsCancer.2007;7(3):169-81.
37. PaoW,MillerVA,PolitiKA,etal.AcquiredresistanceoflungadenocarcinomastogefitiniborerlotinibisassociatedwithasecondmutationintheEGFRkinasedomain.PLoSMed.2005;2(3):e73.
38. InukaiM,ToyookaS,ItoS,etal.PresenceofepidermalgrowthfactorreceptorgeneT790Mmutationasaminorcloneinnon-smallcelllungcancer.CancerRes.2006;66(16):7854-8.
39. SuKY,ChenHY,LiKC,etal.Pretreatmentepidermalgrowthfactorreceptor(EGFR)T790MmutationpredictsshorterEGFRtyrosinekinaseinhibitorresponsedurationinpatientswithnon-small-celllungcancer.Journalofclinicaloncology:officialjournaloftheAmericanSocietyofClinicalOncology.2012;30(4):433-40.
40. HataAN,NiederstMJ,ArchibaldHL,etal.Tumorcellscanfollowdistinctevolutionarypathstobecomeresistanttoepidermalgrowthfactorreceptorinhibition.Naturemedicine.2016;22(3):262-9.
18
41. JannePA,YangJC,KimDW,etal.AZD9291inEGFRinhibitor-resistantnon-small-celllungcancer.TheNewEnglandjournalofmedicine.2015;372(18):1689-99.
42. SequistLV,SoriaJC,GoldmanJW,etal.RociletinibinEGFR-mutatednon-small-celllungcancer.TheNewEnglandjournalofmedicine.2015;372(18):1700-9.
43. SequistLV,WaltmanBA,Dias-SantagataD,etal.GenotypicandhistologicalevolutionoflungcancersacquiringresistancetoEGFRinhibitors.SciTranslMed.2011;3(75):75ra26.
44. PiotrowskaZ,NiederstMJ,KarlovichCA,etal.HeterogeneityUnderliestheEmergenceofEGFRT790Wild-TypeClonesFollowingTreatmentofT790M-PositiveCancerswithaThird-GenerationEGFRInhibitor.Cancerdiscovery.2015;5(7):713-22.
45. ThressKS,PaweletzCP,FelipE,etal.AcquiredEGFRC797SmutationmediatesresistancetoAZD9291innon-smallcelllungcancerharboringEGFRT790M.Naturemedicine.2015;21(6):560-2.
46. WilliamsC,PontenF,MobergC,etal.Ahighfrequencyofsequencealterationsisduetoformalinfixationofarchivalspecimens.TheAmericanjournalofpathology.1999;155(5):1467-71.
47. PirkerR,HerthFJ,KerrKM,etal.ConsensusforEGFRmutationtestinginnon-smallcelllungcancer:resultsfromaEuropeanworkshop.Journalofthoraciconcology:officialpublicationoftheInternationalAssociationfortheStudyofLungCancer.2010;5(10):1706-13.
48. LindemanNI,CaglePT,BeasleyMB,etal.MoleculartestingguidelineforselectionoflungcancerpatientsforEGFRandALKtyrosinekinaseinhibitors:guidelinefromtheCollegeofAmericanPathologists,InternationalAssociationfortheStudyofLungCancer,andAssociationforMolecularPathology.Journalofthoraciconcology:officialpublicationoftheInternationalAssociationfortheStudyofLungCancer.2013;8(7):823-59.
49. SchmittMW,KennedySR,SalkJJ,FoxEJ,HiattJB,LoebLA.Detectionofultra-raremutationsbynext-generationsequencing.ProceedingsoftheNationalAcademyofSciencesoftheUnitedStatesofAmerica.2012;109(36):14508-13.
50. WongSQ,LiJ,TanAY,etal.Sequenceartefactsinaprospectiveseriesofformalin-fixedtumourstestedformutationsinhotspotregionsbymassivelyparallelsequencing.BMCmedicalgenomics.2014;7:23.
51. YangJC,SequistLV,GeaterSL,etal.Clinicalactivityofafatinibinpatientswithadvancednon-small-celllungcancerharbouringuncommonEGFRmutations:acombinedpost-hocanalysisofLUX-Lung2,LUX-Lung3,andLUX-Lung6.Thelancetoncology.2015;16(7):830-8.
52. LaiZ,MarkovetsA,AhdesmakiM,etal.VarDict:anovelandversatilevariantcallerfornext-generationsequencingincancerresearch.NucleicAcidsRes.2016.
53. O'RaweJ,JiangT,SunG,etal.Lowconcordanceofmultiplevariant-callingpipelines:practicalimplicationsforexomeandgenomesequencing.Genomemedicine.2013;5(3):28.
54. RehmHL,BaleSJ,Bayrak-ToydemirP,etal.ACMGclinicallaboratorystandardsfornext-generationsequencing.GenetMed.2013;15(9):733-47.
55. ParkS,Holmes-TischAJ,ChoEY,etal.Discordanceofmolecularbiomarkersassociatedwithepidermalgrowthfactorreceptorpathwaybetweenprimarytumorsandlymphnodemetastasisinnon-
19
smallcelllungcancer.Journalofthoraciconcology:officialpublicationoftheInternationalAssociationfortheStudyofLungCancer.2009;4(7):809-15.
56. ZhangJ,FujimotoJ,ZhangJ,etal.Intratumorheterogeneityinlocalizedlungadenocarcinomasdelineatedbymultiregionsequencing.Science(NewYork,NY.2014;346(6206):256-9.
57. deBruinEC,McGranahanN,MitterR,etal.Spatialandtemporaldiversityingenomicinstabilityprocessesdefineslungcancerevolution.Science(NewYork,NY.2014;346(6206):251-6.
58. SodaM,ChoiYL,EnomotoM,etal.IdentificationofthetransformingEML4-ALKfusiongeneinnon-small-celllungcancer.Nature.2007;448(7153):561-6.
59. KwakEL,BangYJ,CamidgeDR,etal.Anaplasticlymphomakinaseinhibitioninnon-small-celllungcancer.TheNewEnglandjournalofmedicine.2010;363(18):1693-703.
60. KoivunenJP,MermelC,ZejnullahuK,etal.EML4-ALKfusiongeneandefficacyofanALKkinaseinhibitorinlungcancer.ClinCancerRes.2008;14(13):4275-83.
61. ZhaoW,ChoiYL,SongJY,etal.ALK,ROS1andRETrearrangementsinlungsquamouscellcarcinomaareveryrare.LungCancer.2016;94:22-7.
62. ShawAT,KimDW,NakagawaK,etal.CrizotinibversuschemotherapyinadvancedALK-positivelungcancer.TheNewEnglandjournalofmedicine.2013;368(25):2385-94.
63. SolomonBJ,MokT,KimDW,etal.First-linecrizotinibversuschemotherapyinALK-positivelungcancer.TheNewEnglandjournalofmedicine.2014;371(23):2167-77.
64. ShawAT,OuSH,BangYJ,etal.CrizotinibinROS1-rearrangednon-small-celllungcancer.TheNewEnglandjournalofmedicine.2014;371(21):1963-71.
65. TakeuchiK,SodaM,TogashiY,etal.RET,ROS1andALKfusionsinlungcancer.Naturemedicine.2012;18(3):378-81.
66. VaishnaviA,CapellettiM,LeAT,etal.Oncogenicanddrug-sensitiveNTRK1rearrangementsinlungcancer.Naturemedicine.2013;19(11):1469-72.
67. IyevlevaAG,RaskinGA,TiurinVI,etal.NovelALKfusionpartnersinlungcancer.CancerLett.2015;362(1):116-21.
68. TakeuchiK,ChoiYL,TogashiY,etal.KIF5B-ALK,anovelfusiononcokinaseidentifiedbyanimmunohistochemistry-baseddiagnosticsystemforALK-positivelungcancer.ClinCancerRes.2009;15(9):3143-9.
69. YoshidaA,TsutaK,NakamuraH,etal.ComprehensivehistologicanalysisofALK-rearrangedlungcarcinomas.AmJSurgPathol.2011;35(8):1226-34.
70. IASLCatlasofalktestinginlungcancer:InternationalAssociationfortheStudyofLungCancerPress;2013.
71. TakeuchiK,TogashiY,KamiharaY,etal.ProspectiveandclinicalvalidationofALKimmunohistochemistry:resultsfromthephaseI/IIstudyofalectinibforALK-positivelungcancer(AF-001JPstudy).AnnOncol.2016;27(1):185-92.
20
72. DavareMA,TognonCE.Detectingandtargettingoncogenicfusionproteinsinthegenomicera.BiolCell.2015;107(5):111-29.
73. DrilonA,WangL,ArcilaME,etal.Broad,HybridCapture-BasedNext-GenerationSequencingIdentifiesActionableGenomicAlterationsinLungAdenocarcinomasOtherwiseNegativeforSuchAlterationsbyOtherGenomicTestingApproaches.Clinicalcancerresearch:anofficialjournaloftheAmericanAssociationforCancerResearch.2015;21(16):3631-9.
74. JangJS,WangX,VedellPT,etal.CustomGeneCaptureandNextGenerationSequencingtoResolveDiscordantALKStatusbyFISHandIHCinLungAdenocarcinoma.Journalofthoraciconcology:officialpublicationoftheInternationalAssociationfortheStudyofLungCancer.2016.
75. HouLWC.ComparativestudyofALKrearrangementbetweenprimarytumorandpairedlymphaticmetastasisinNSCLCpatients.ASCO20152015.
76. CaiW,LinD,WuC,etal.IntratumoralHeterogeneityofALK-RearrangedandALK/EGFRCoalteredLungAdenocarcinoma.Journalofclinicaloncology:officialjournaloftheAmericanSocietyofClinicalOncology.2015;33(32):3701-9.
77. BirkbakNJ,HileyCT,SwantonC.EvolutionaryPrecisionMedicine:ARoleforRepeatEpidermalGrowthFactorReceptorAnalysisinALK-RearrangedLungAdenocarcinoma?Journalofclinicaloncology:officialjournaloftheAmericanSocietyofClinicalOncology.2015;33(32):3681-3.
78. SasakiT,KoivunenJ,OginoA,etal.AnovelALKsecondarymutationandEGFRsignalingcauseresistancetoALKkinaseinhibitors.CancerRes.2011;71(18):6051-60.
79. ChoiYL,SodaM,YamashitaY,etal.EML4-ALKmutationsinlungcancerthatconferresistancetoALKinhibitors.TheNewEnglandjournalofmedicine.2010;363(18):1734-9.
80. DoebeleRC,PillingAB,AisnerDL,etal.MechanismsofresistancetocrizotinibinpatientswithALKgenerearrangednon-smallcelllungcancer.Clinicalcancerresearch:anofficialjournaloftheAmericanAssociationforCancerResearch.2012;18(5):1472-82.
81. KatayamaR,ShawAT,KhanTM,etal.MechanismsofacquiredcrizotinibresistanceinALK-rearrangedlungCancers.SciTranslMed.2012;4(120):120ra17.
82. ShawAT,FribouletL,LeshchinerI,etal.ResensitizationtoCrizotinibbytheLorlatinibALKResistanceMutationL1198F.TheNewEnglandjournalofmedicine.2016;374(1):54-61.
83. BarlesiF,MazieresJ,MerlioJP,etal.Routinemolecularprofilingofpatientswithadvancednon-small-celllungcancer:resultsofa1-yearnationwideprogrammeoftheFrenchCooperativeThoracicIntergroup(IFCT).Lancet.2016;387(10026):1415-26.
84. KrisMG,JohnsonBE,BerryLD,etal.Usingmultiplexedassaysofoncogenicdriversinlungcancerstoselecttargeteddrugs.JAMA.2014;311(19):1998-2006.
85. KonigK,PeiferM,FassunkeJ,etal.ImplementationofAmpliconParallelSequencingLeadstoImprovementofDiagnosisandTherapyofLungCancerPatients.Journalofthoraciconcology:officialpublicationoftheInternationalAssociationfortheStudyofLungCancer.2015;10(7):1049-57.
86. PearsonA,SmythE,BabinaIS,etal.High-LevelClonalFGFRAmplificationandResponsetoFGFRInhibitioninaTranslationalClinicalTrial.Cancerdiscovery.2016.
21
87. Lopez-ChavezA,ThomasA,RajanA,etal.Molecularprofilingandtargetedtherapyforadvancedthoracicmalignancies:abiomarker-derived,multiarm,multihistologyphaseIIbaskettrial.Journalofclinicaloncology:officialjournaloftheAmericanSocietyofClinicalOncology.2015;33(9):1000-7.
88. BiankinAV,PiantadosiS,HollingsworthSJ.Patient-centrictrialsfortherapeuticdevelopmentinprecisiononcology.Nature.2015;526(7573):361-70.
89. KonishiJ,YamazakiK,AzumaM,KinoshitaI,Dosaka-AkitaH,NishimuraM.B7-H1expressiononnon-smallcelllungcancercellsanditsrelationshipwithtumor-infiltratinglymphocytesandtheirPD-1expression.Clinicalcancerresearch:anofficialjournaloftheAmericanAssociationforCancerResearch.2004;10(15):5094-100.
90. TaubeJM,AndersRA,YoungGD,etal.ColocalizationofinflammatoryresponsewithB7-h1expressioninhumanmelanocyticlesionssupportsanadaptiveresistancemechanismofimmuneescape.SciTranslMed.2012;4(127):127ra37.
91. GrosA,RobbinsPF,YaoX,etal.PD-1identifiesthepatient-specificCD8(+)tumor-reactiverepertoireinfiltratinghumantumors.TheJournalofclinicalinvestigation.2014;124(5):2246-59.
92. GaronEB,RizviNA,HuiR,etal.Pembrolizumabforthetreatmentofnon-small-celllungcancer.TheNewEnglandjournalofmedicine.2015;372(21):2018-28.
93. HerbstRS,BaasP,KimDW,etal.Pembrolizumabversusdocetaxelforpreviouslytreated,PD-L1-positive,advancednon-small-celllungcancer(KEYNOTE-010):arandomisedcontrolledtrial.Lancet.2016;387(10027):1540-50.
94. BorghaeiH,Paz-AresL,HornL,etal.NivolumabversusDocetaxelinAdvancedNonsquamousNon-Small-CellLungCancer.TheNewEnglandjournalofmedicine.2015;373(17):1627-39.
95. BrahmerJ,ReckampKL,BaasP,etal.NivolumabversusDocetaxelinAdvancedSquamous-CellNon-Small-CellLungCancer.TheNewEnglandjournalofmedicine.2015;373(2):123-35.
96. FehrenbacherL,SpiraA,BallingerM,etal.Atezolizumabversusdocetaxelforpatientswithpreviouslytreatednon-small-celllungcancer(POPLAR):amulticentre,open-label,phase2randomisedcontrolledtrial.Lancet.2016.
97. TaubeJM,KleinA,BrahmerJR,etal.AssociationofPD-1,PD-1Ligands,andOtherFeaturesoftheTumorImmuneMicroenvironmentwithResponsetoAnti-PD-1Therapy.Clinicalcancerresearch:anofficialjournaloftheAmericanAssociationforCancerResearch.2014.
98. VelchetiV,SchalperKA,CarvajalDE,etal.Programmeddeathligand-1expressioninnon-smallcelllungcancer.Laboratoryinvestigation;ajournaloftechnicalmethodsandpathology.2014;94(1):107-16.
99. McLaughlinJ,HanG,SchalperKA,etal.QuantitativeAssessmentoftheHeterogeneityofPD-L1ExpressioninNon-Small-CellLungCancer.JAMAoncology.2016;2(1):46-54.
100. PardollDM.Theblockadeofimmunecheckpointsincancerimmunotherapy.NaturereviewsCancer.2012;12(4):252-64.
101. AkbayEA,KoyamaS,CarreteroJ,etal.ActivationofthePD-1pathwaycontributestoimmuneescapeinEGFR-drivenlungtumors.Cancerdiscovery.2013;3(12):1355-63.
22
102. RizviNA,HellmannMD,SnyderA,etal.Cancerimmunology.MutationallandscapedeterminessensitivitytoPD-1blockadeinnon-smallcelllungcancer.Science(NewYork,NY.2015;348(6230):124-8.
103. BrownSD,WarrenRL,GibbEA,etal.Neo-antigenspredictedbytumorgenomemeta-analysiscorrelatewithincreasedpatientsurvival.Genomeresearch.2014;24(5):743-50.
104. McGranahanN,FurnessAJ,RosenthalR,etal.ClonalneoantigenselicitTcellimmunoreactivityandsensitivitytoimmunecheckpointblockade.Science(NewYork,NY.2016;351(6280):1463-9.
105. PatelSP,KurzrockR.PD-L1ExpressionasaPredictiveBiomarkerinCancerImmunotherapy.MolCancerTher.2015;14(4):847-56.
106. HerbstRS,SoriaJC,KowanetzM,etal.Predictivecorrelatesofresponsetotheanti-PD-L1antibodyMPDL3280Aincancerpatients.Nature.2014;515(7528):563-7.
107. MiddletonG,CrackLR,PopatS,etal.TheNationalLungMatrixTrial:translatingthebiologyofstratificationinadvancednon-small-celllungcancer.Annalsofoncology:officialjournaloftheEuropeanSocietyforMedicalOncology/ESMO.2015;26(12):2464-9.
108. ShawEC,HanbyAM,WheelerK,etal.ObserveragreementcomparingtheuseofvirtualslideswithglassslidesinthepathologyreviewcomponentofthePOSHbreastcancercohortstudy.JClinPathol.2012;65(5):403-8.
109. FaveroF,JoshiT,MarquardAM,etal.Sequenza:allele-specificcopynumberandmutationprofilesfromtumorsequencingdata.Annalsofoncology:officialjournaloftheEuropeanSocietyforMedicalOncology/ESMO.2015;26(1):64-70.
110. VanLooP,NordgardSH,LingjaerdeOC,etal.Allele-specificcopynumberanalysisoftumors.ProceedingsoftheNationalAcademyofSciencesoftheUnitedStatesofAmerica.2010;107(39):16910-5.
111. YatesLR,CampbellPJ.Evolutionofthecancergenome.NatRevGenet.2012;13(11):795-806.
112. HileyC,deBruinE,McGranahanN,SwantonC.Decipheringintratumorheterogeneityandtemporalacquisitionofdrivereventstorefineprecisionmedicine.Genomebiology.2014;15(8):453.
113. MelchorL,BrioliA,WardellCP,etal.Single-cellgeneticanalysisrevealsthecompositionofinitiatingclonesandphylogeneticpatternsofbranchingandparallelevolutioninmyeloma.Leukemia.2014.
114. FisherR,HorswellS,RowanA,etal.DevelopmentofsynchronousVHLsyndrometumorsrevealscontingenciesandconstraintstotumorevolution.Genomebiology.2014;15(8):433.
115. JuricD,CastelP,GriffithM,etal.ConvergentlossofPTENleadstoclinicalresistancetoaPI(3)Kalphainhibitor.Nature.2015;518(7538):240-4.
116. GundemG,VanLooP,KremeyerB,etal.Theevolutionaryhistoryoflethalmetastaticprostatecancer.Nature.2015;520(7547):353-7.
117. Jamal-HanjaniM,WilsonGA,HorswellS,etal.Detectionofubiquitousandheterogeneousmutationsincell-freeDNAfrompatientswithearly-stagenon-small-celllungcancer.Annalsofoncology:officialjournaloftheEuropeanSocietyforMedicalOncology/ESMO.2016;27(5):862-7.
23
118. MurtazaM,DawsonSJ,TsuiDW,etal.Non-invasiveanalysisofacquiredresistancetocancertherapybysequencingofplasmaDNA.Nature.2013;497(7447):108-12.
119. OxnardGR,PaweletzCP,KuangY,etal.NoninvasivedetectionofresponseandresistanceinEGFR-mutantlungcancerusingquantitativenext-generationgenotypingofcell-freeplasmaDNA.Clinicalcancerresearch:anofficialjournaloftheAmericanAssociationforCancerResearch.2014;20(6):1698-705.
120. ThressKS,BrantR,CarrTH,etal.EGFRmutationdetectioninctDNAfromNSCLCpatientplasma:Across-platformcomparisonofleadingtechnologiestosupporttheclinicaldevelopmentofAZD9291.LungCancer.2015;90(3):509-15.
121. HouJM,KrebsM,WardT,etal.Circulatingtumorcellsasawindowonmetastasisbiologyinlungcancer.TheAmericanjournalofpathology.2011;178(3):989-96.
122. KrebsMG,SloaneR,PriestL,etal.Evaluationandprognosticsignificanceofcirculatingtumorcellsinpatientswithnon-small-celllungcancer.Journalofclinicaloncology:officialjournaloftheAmericanSocietyofClinicalOncology.2011;29(12):1556-63.
123. MaheswaranS,SequistLV,NagrathS,etal.DetectionofmutationsinEGFRincirculatinglung-cancercells.TheNewEnglandjournalofmedicine.2008;359(4):366-77.
124. LohrJG,AdalsteinssonVA,CibulskisK,etal.Whole-exomesequencingofcirculatingtumorcellsprovidesawindowintometastaticprostatecancer.Naturebiotechnology.2014;32(5):479-84.
125. HodgkinsonCL,MorrowCJ,LiY,etal.Tumorigenicityandgeneticprofilingofcirculatingtumorcellsinsmall-celllungcancer.Naturemedicine.2014;20(8):897-903.
126. DiazLA,Jr.,BardelliA.Liquidbiopsies:genotypingcirculatingtumorDNA.Journalofclinicaloncology:officialjournaloftheAmericanSocietyofClinicalOncology.2014;32(6):579-86.
127. Alix-PanabieresC,PantelK.Challengesincirculatingtumourcellresearch.NaturereviewsCancer.2014;14(9):623-31.
128. Alix-PanabieresC,PantelK.ClinicalApplicationsofCirculatingTumorCellsandCirculatingTumorDNAasLiquidBiopsy.Cancerdiscovery.2016;6(5):479-91.
129. SchwarzenbachH,HoonDS,PantelK.Cell-freenucleicacidsasbiomarkersincancerpatients.NaturereviewsCancer.2011;11(6):426-37.
130. DienstmannR,JangIS,BotB,FriendS,GuinneyJ.Databaseofgenomicbiomarkersforcancerdrugsandclinicaltargetabilityinsolidtumors.Cancerdiscovery.2015;5(2):118-23.
131. CeramiE,GaoJ,DogrusozU,etal.ThecBiocancergenomicsportal:anopenplatformforexploringmultidimensionalcancergenomicsdata.Cancerdiscovery.2012;2(5):401-4.
Technical• Novelbiopsytechniques(egEBUS)genera=ngsmallersampleswithdiminishedtumourcellularity
• Mul=pletestswiththepoten=alfordiscordantresults(egIHCvsFISHforALKmuta=on)
• Technology-specificfailuresduetodifferencesinsensi=vity/knownartefacts(egsequencingthroughrepeats/highGCareas)
• Qualityassuranceofgenomicmedicinedespiteacrossmul=pleplaQormsanddataanalysisalgorithms
Logis=cal• Turnaround=meofassaysinaclinicallyrelevant=meframe
• Desirabilityofcentralisedvsdistributed/localtes=ngapproaches
• Educa=onandtrainingoflaboratoryandclinicalstaffnnewtechnologies
• Dis=lla=onofhighvolumedataintousefulstandardisedreportsusablebyclinicicans
• Computa=onalanddatastoragecapacityforNGSwithinahealthcaresystem
TumourBiology• DiversityofmolecularsubgroupswithinNSCLC• inter-pa=entheterogeneity
• Intra-tumourheterogeneity• samplingbias• differen=alresponses
• Cancerevolu=onandresistanceinresponsetotreatments• needforlongitudinalsampling
• Evolvingtreatmentparadigms• immuno-oncolog&newbiomarkers(egPDL-1,neoan=genload)
• Increasingcomplexityofdetectablegenomicchangesincancer• egepigene=cchanges&non-codingvariants
Adenocarcinoma
35%
KRAS
No variant
EGFRLKB1
ALK
Cell cycle variant
MET
DDR2Other
BRAFFGFR
ERBB2
75%
mutant wildtype
TP53 status
Squamous Cell Carcinoma
No variant
Cell cycle variant
FGFR
PIK3CA
PTEN
KRAS
METDDR2
Other
57% 43%
mutant wildtype
Study Line Phase POM Molecularsubgroups LocationNationalLungMatrixTrial
2ndorlater NRPhaseII PFSORR
AKT,PIK3CA/PTEN,TSC,LKB1,KRAS,NRAS,NF1,MET,ROS1,EGFR(T790M),CCGA,immunotherapy
UK
SAFIR_02LungStudy
1stlinemaintenance
RPhaseII PFS mTOR,AKT,FGFR,HER2,EGFR,MEK,immunotherapy
France
LungMAP 2ndorlater(SCC)
NRPhaseII PFSORR
PIK3CA,FGFR,CCGA,immunotherapy
USA
DarwinI/II 1storlater NRPhaseII PFS EGFR,HER2,ALK,RET,BRAF,immunotherapy
UK