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Please note, these are the actual video-recorded proceedings from the live CME event and may include the use of trade names and other raw, unedited content. Select slides from the original presentation are omitted where Research To Practice was unable to obtain permission from the publication source and/or author. Links to view the actual reference materials have been provided for your use in place of any omitted slides.
David Jablons, M.D.Professor and Chief, Section of General Thoracic SurgeryAda Distinguished Professor and Program LeaderThoracic Oncology Laboratory Helen Diller Family Comprehensive Cancer CenterUniversity of California, San FranciscoLarge-Scale International Validation of a qPCR-Based Genetic Assay Prognostic of Survival in Resected Non-Squamous Cell NSCLC
A practical genomic prognostic assay361 stage I-IV non-squamous FFPE samples(UCSF Training Cohort)Measure expression of 14 cancer pathways + reference genes(CLIA-certified Laboratory)
A practical genomic prognostic assay361 stage I-IV non-squamous FFPE samples(UCSF Training Cohort)Measure expression of 14 cancer pathways + reference genes(CLIA-certified Laboratory)L2-penalized Cox Proportional Hazards Modeling
A practical genomic prognostic assay361 stage I-IV non-squamous FFPE samples(UCSF Training Cohort)Measure expression of 14 cancer pathways + reference genes(CLIA-certified Laboratory)L2-penalized Cox Proportional Hazards Modeling
A practical genomic prognostic assay361 stage I-IV non-squamous FFPE samples(UCSF Training Cohort)Measure expression of 14 cancer pathways + reference genes(CLIA-certified Laboratory)L2-penalized Cox Proportional Hazards ModelingIndependent ValidationKaiser Northern California433 stage IChina Clinical Trials Consortium1006 stage I-III
A practical genomic prognostic assay361 stage I-IV non-squamous FFPE samples(UCSF Training Cohort)Measure expression of 14 cancer pathways + reference genes(CLIA-certified Laboratory)L2-penalized Cox Proportional Hazards ModelingIndependent ValidationKaiser Northern California433 stage IChina Clinical Trials Consortium1006 stage I-IIIparaffin-tissues
A practical genomic prognostic assay361 stage I-IV non-squamous FFPE samples(UCSF Training Cohort)Measure expression of 14 cancer pathways + reference genes(CLIA-certified Laboratory)L2-penalized Cox Proportional Hazards ModelingIndependent ValidationKaiser Northern California433 stage IChina Clinical Trials Consortium1006 stage I-IIIqPCRparaffin-tissues
A practical genomic prognostic assay361 stage I-IV non-squamous FFPE samples(UCSF Training Cohort)Measure expression of 14 cancer pathways + reference genes(CLIA-certified Laboratory)L2-penalized Cox Proportional Hazards ModelingIndependent ValidationKaiser Northern California433 stage IChina Clinical Trials Consortium1006 stage I-IIIqPCRparaffin-tissuesblinded
Study Cohorts (n=1800)
UCSF Training CohortKaiser Validation CohortChina Validation CohortEligible Patients3614331006Successful RNA recovery337 (93.4%)420 (97.0%)967 (96.1%)
Age at Resection67.4 (10.5)66.6(9.3)58.3(10.8)Females200 (59.3%)229 (54.5%)366 (37.9%)Smoking HistoryYes224 (66.5%)355 (84.5%)492 (48.9%)No57 (16.9%)36 (8.6%)403 (40.1%)Unknown56 (16.6%)29 (6.9%)72 (7.2%)Median follow-up (months)46.470.037.8Deaths at 5 years139 (41.2%)179 (42.6%)406 (42.0%)HistologyAdenocarcinoma278 (82.5%)325 (77.4%)881 (87.6%)Large Cell17 (5.0%)15 (3.6%)17 (1.7%)Mixed10 (3.0%)15 (3.6%)46 (4.6%)NSCLC NOS32 (9.5%)65 (15.5%)23 (2.3%)AJCC StageI223 (66.2%)420 (100%)471 (46.8%)II41 (12.2%)0222 (22.1%)III58 (17.2%)0266 (26.4%)IV9 (2.7%)00Undetermined6 (1.8%)08 (0.8%)Cohort Mean (Standard Deviation)
Algorithm Development UCSF CohortOverall survival (%):80% versus 35%, based on 14 cancer-related oncogenes
Blinded Assay ValidationKaiser Cohort (n = 420)China Cohort (n = 967) Overall Survival75% versus 48% 80% versus 45%
Stage Independence (China)Stage I disease (low risk = 83.0% [73.889.1]; intermediate risk = 67.7% [54.877.7]; high risk = 64.6% [57.970.5])Stage II disease (low risk = 54.2% [30.173.2]; intermediate risk = 45.8% [26.263.4]; high risk = 38.1% [29.446.8])Stage III disease (low risk = 53.3% [32.670.3]; intermediate risk = 43.3% [27.258.5]; high risk = 24.0% [17.530.9])
Multivariate ModelsKaiser cohort (n = 420)China cohort(n = 967)
PredictorHR95% CILR test p-valueHigh Risk Category*1.931.23-3.040.010Female Sex0.650.48-0.870.004Age (years)1.041.02-1.06
China stage I-IIA (n=540)New TNMM Staging
TNM StageMulti-Gene AssayNew TNMM StageIALow RiskTNMM IAIBLow Risk
IAIntermediate + High RiskTNMM IBIBIntermediate + High RiskIIALow Risk
IIAIntermediate + High RiskTNMM IIA
Conventional StagingNo data support the use of adjuvant treatment in patients with stage IA tumors as defined by conventional criteriaUse of such treatment in patients with stage IB disease is lent support by only controversial evidence
New TNMM StagingThe addition of the molecular assay gave better risk discrimination than did NCCN risk criteria alone
Genetic Assay Outperforms Conventional Methods The molecular assay was the strongest predictor of 5 year mortality compared with standard criteria (sex, age, smoking status, etc)Outperformed the NCCN guidelines used to identify high-risk patients with stage I disease
ConclusionsThere is a clear need to improve NSCLC stagingA robust, practical assay prognostic of survival after resection has been developed using qPCR and paraffin-tissuesThis multi-gene assay has been independently validated in two large international cohortsThe multi-gene assay can outperform conventional risk factors / staging and may lead to personalized therapies for patients with early stage non-squamous NSCLC
Thank youUCSF Thoracic Oncology LaboratoryDavid JablonsMichael MannPatrick PhamMike MulvihillMarc SegalRoshni RayKirk JonesDan RazZhidong XuThierry JahanBiao HeKaiser Northern CaliforniaStephen Van Den EedenCharles QuesenberryLaurel HabelChina Clinical Trials ConsortiumJianxing HeZhi-Hua ZhuWen GaoHuanrong ZhangBo SuQiuhua DengZongfei WangJiangfen ZhouHuiling LiMei-Chun HuangChe-Chung YehPinpoint GenomicsDavid BerrymanJerry HurstFatemeh Zaiei
Sunday, February 12, 2012Hollywood, FloridaCo-ChairsRogerio C Lilenbaum, MDMark A Socinski, MDCo-Chair and ModeratorNeil Love, MDFaculty Walter J Curran Jr, MDDavid Jablons, MDMark G Kris, MDSuresh Ramalingam, MDAlan B Sandler, MD
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