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A New Model to Estimate Survival for Hepatocellular Carcinoma Patients
Po-Hong Liu, Chia-Yang Hsu, Cheng-Yuan Hsia, Yun-Hsuan Lee Yi-Hsiang Huang, Chien-Wei Su, Fa-Yauh Lee, Han-Chieh Lin, Teh-Ia Huo Taipei Veterans General Hospital National Yang-Ming University TAIWAN
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The Authors Have Nothing to Disclose
Disclosure The Authors Have Nothing to Disclose
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Staging System for HCC Staging: critical step in cancer management
Prognosis of HCC is complex Tumor extent Liver dysfunction General medical condition HCC: hepatocellular carcinoma J Hepatol 2016;64:
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Current Scoring Systems
Model Tumor Status Liver Function Performance Status Serum AFP Serum ALK-P TIS Yes CTP No CLIP Tokyo JIS MESIAH MELD NIACE French Bilirubin Karnofsky CUPI Symptoms AFP: alpha-fetoprotein; ALK-P: alkaline phosphatase; CLIP: Cancer of the Liver Italian Program; CUPI: Chinese University Prognostic Index; JIS: Japan Integrated Scoring; MESIAH: Model to Estimate Survival In Ambulatory HCC; TIS: Taipei Integrated Scoring J Hepatol 2016;64:
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Do We Need Another Score ?
Model Tumor Status Liver Function Performance Status Serum AFP Serum ALK-P TIS Yes CTP No CLIP Tokyo JIS MESIAH MELD NIACE French Bilirubin Karnofsky CUPI Symptoms New Score ? AFP: alpha-fetoprotein; ALK-P: alkaline phosphatase; CLIP: Cancer of the Liver Italian Program; CUPI: Chinese University Prognostic Index; JIS: Japan Integrated Scoring; MESIAH: Model to Estimate Survival In Ambulatory HCC; TIS: Taipei Integrated Scoring J Hepatol 2016;64:
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Aim of the Study To establish a new prognostic Model to Estimate Survival for HCC (MESH Score) Patients Our approach Assess pre-treatment status Use common variables Simplistic approach & user-friendly Statistically robust
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Methods & Study Flowchart
All Patients Derivation Cohort (n = 1,591) Selecting Predictors Forward Cox Regression MESH Score Validation Cohort (n = 1,591) Kaplan-Meier Curve Discriminatory Ability Homogeneity Subgroup Analysis 1:1 Randomization Single-center 3,182 Patients ( )
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Choosing Survival Predictors
All candidate baseline survival predictors were included in initial analysis All predictors are dichotomized Clinical knowledge (Age, Milan, Single/Multiple) Conventional definitions (ALT, ALK-P, AFP) Youden index in ROC curve (CTP scores, AFP, PS) AFP, alpha-fetoprotein; ALK-P: alkaline phosphatase; ALT: alanine transaminase; CTP: Child-Turcotte-Pugh; ROC: Receiver-Operating-Characteristics, PS: performance status
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Predictors of Survival
Univariate analysis Multivariate analysis HR p value β CI Age (<65/≥65 years) 1.133 0.133 Sex (male/female) 0.926 0.127 HBsAg (negative/positive) 0.883 0.136 Anti-HCV (negative/positive) 0.774 0.005 Non-significant Alcoholism (no/yes) 1.330 0.007 ALT (<40/≥40 IU/L) 1.120 0.186 Platelet (≥150K/<150K/μL) 1.349 <0.001 ALK-P (<200/≥200 IU/L) 4.150 1.953 0.669 CTP score (5/6-15) 3.083 2.055 0.720 Performance status (0-1/2-4) 4.563 2.415 0.882 Serum AFP (<20/≥20 ng/mL) 2.035 1.540 0.432 Single/Multiple tumor 1.486 Early/Non-early tumor (Milan) 2.919 1.823 0.601 Vascular invasion + Metastasis 5.530 2.752 1.012
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Predictors of Survival
Univariate analysis Multivariate analysis HR p value β CI Age (<65/≥65 years) 1.133 0.133 Sex (male/female) 0.926 0.127 HBsAg (negative/positive) 0.883 0.136 Anti-HCV (negative/positive) 0.774 0.005 Non-significant Alcoholism (no/yes) 1.330 0.007 ALT (<40/≥40 IU/L) 1.120 0.186 Platelet (≥150K/<150K/μL) 1.349 <0.001 ALK-P (<200/≥200 IU/L) 4.150 1.953 0.669 CTP score (5/6-15) 3.083 2.055 0.720 Performance status (0-1/2-4) 4.563 2.415 0.882 Serum AFP (<20/≥20 ng/mL) 2.035 1.540 0.432 Single/Multiple tumor 1.486 Early/Non-early tumor (Milan) 2.919 1.823 0.601 Vascular invasion + Metastasis 5.530 2.752 1.012
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Predictors of Survival
Univariate analysis Multivariate analysis HR p value β CI Age (<65/≥65 years) 1.133 0.133 Sex (male/female) 0.926 0.127 HBsAg (negative/positive) 0.883 0.136 Anti-HCV (negative/positive) 0.774 0.005 Non-significant Alcoholism (no/yes) 1.330 0.007 ALT (<40/≥40 IU/L) 1.120 0.186 Platelet (≥150K/<150K/μL) 1.349 <0.001 ALK-P (<200/≥200 IU/L) 4.150 1.953 0.669 CTP score (5/6-15) 3.083 2.055 0.720 Performance status (0-1/2-4) 4.563 2.415 0.882 Serum AFP (<20/≥20 ng/mL) 2.035 1.540 0.432 Single/Multiple tumor 1.486 Early/Non-early tumor (Milan) 2.919 1.823 0.601 Vascular invasion + Metastasis 5.530 2.752 1.012
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The MESH Score Score range from 0 to 6 Prognostic Factors 1
1 Tumor Burden (Milan) Small Large Vascular invasion or metastasis Absent Present Child-Turcotte-Pugh score 5 ≥ 6 Performance status 0-1 ≥ 2 Serum AFP level < 20 ng/mL ≥ 20 ng/mL Serum ALK-P level < 200 IU/L ≥ 200 IU/L Score range from 0 to 6
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Validation of MESH Score
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Kaplan-Meier Curve in Validation Cohort
Significant Survival Differences across all MESH Scores
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Comparing Prognostic Performances
Model Homogeneity (Wald χ2) Corrected Akaike Information Criteria BCLC HKLC TIS CLIP MESIAH MESH Homogeneity: small difference in survival for patients among the same classification within each system Akaike information criterion: amount of information loss during model creation BCLC: Barcelona Clinic Liver Cancer; HKLC: Hong Kong Liver Cancer
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Discriminatory Ability
Model Death at 1-year Death at 3-year Death at 5-year BCLC 0.794 0.741 0.713 HKLC 0.821 0.766 0.735 TIS 0.832 0.768 0.724 CLIP 0.838 0.772 0.732 MESIAH 0.867 0.806 0.773 MESH 0.860 0.805 0.769 * * * * * * MESH Score: High Prognostic Accuracy in Validation Cohort Discriminatory ability: The ability to identify survivor and non-survivor * p<0.05
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MESH Score in Different Clinical Settings
HBV- & HCV-related HCC Curative & Non-curative Treatment BCLC & HKLC
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MESH Score for Different Etiologies
Model Homogeneity (Wald χ2) Corrected Akaike Information Criteria HBV-related HCC (41%) CLIP MESIAH MESH HCV-related HCC (23%) 92.821 HBV: hepatitis B virus; HCV: hepatitis C virus
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MESH Score for Different Treatments
Model Homogeneity (Wald χ2) Corrected Akaike Information Criteria Curative treatment (SR, RFA, transplantation, 44%) CLIP 42.873 MESIAH 63.767 MESH 60.457 Non-curative treatment (All other treatment, 56%) RFA: radiofrequency ablation, SR, surgical resection
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BCLC 0/A and HKLC I/II HCC
MESH Score Discriminate Survival for Earlier HCC
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BCLC B/C/D and HKLC III/IV/V HCC
MESH Score Discriminate Survival for Later HCC
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Limitations Choice of predictors and their cut-points
Developed from “treated cohort” Lack of external validation
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MESH Score - Summary Simple, common, and accurate
Can be used in different clinical settings Supplementary to current staging systems
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Thank You for Your Attention
MESH Score 1 Tumor Burden (Milan) Small Large Vascular invasion or metastasis Absent Present Child-Turcotte-Pugh score 5 ≥ 6 Performance status 0-1 ≥ 2 Serum AFP level < 20 ng/mL ≥ 20 ng/mL Serum ALK-P level < 200 IU/L ≥ 200 IU/L
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Supplementary Materials
Cohort characteristics Detailed MESH score Choosing cut-off values Can scores guide treatment decisions ?
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Benchmark - Detailed MESH Score
Prognostic Factors Absent Original MESH Beta Coefficient Detailed MESH Tumor Burden (Milan Criteria) 1 0.601 1.5 Vascular invasion or metastasis 1.012 2.5 CTP score 0.720 Performance status 0.882 2 Serum AFP level 0.432 Serum ALK-P level 0.669 Based on relative ratios of β-coefficients Detailed MESH score range from 0 to 10
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Performance of Detail MESH Score
Model Homogeneity (Wald χ2) Corrected Akaike information criteria BCLC HKLC TIS CLIP MESIAH MESH Detailed MESH
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Choosing Survival Predictors
All candidate baseline survival predictors were included in initial analysis All predictors are dichotomized Clinical knowledge (Age, Milan, Single/Multiple) Conventional definitions (ALT, ALK-P, AFP) Youden index in ROC curve (CTP scores, AFP, PS) ALT: alanine transaminase; CTP: Child-Turcotte-Pugh; PS: performance status
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Alkaline Phosphatase Alk-P may be related to HCC growth
Had been included in CUPI and French score Cut-points CUPI score: Alk-P ≥ 200 IU/L French score: Alk-P ≥ 2x upper limit Youden Index: 127 IU/L
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Child-Turcotte-Pugh Score
Child-Pugh class A: 73% patients Further sub-division Youden index for CTP score Cut-point: 5 vs 6-15 New marker for liver dysfunction ? Albumin-bilirubin (ALBI) grade (1 vs 2-3) Platelet-albumin-bilirubin (PALBI) grade (1 vs 2-3)
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Performance Status ECOG PS 1 BCLC stage C
PS is highly associated with survival PS 1 HCC benefits from aggressive therapy Youden index for performance status Cut-point: 0-1 vs 2-4 Hepatology 2013;57: ECOG: Eastern Oncology Cooperative Group
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Can Score Guide Treatment Decisions ?
Prognostic scores can stratify BCLC stages MESIAH score BCLC 0/A, B, C, D NIACE score BCLC A, B, C MESH score BCLC 0, A, B, C (Data not shown) Can prognostic scores guide treatment algorithm ? A proof-of-concept study Eur J Gastroenterol Hepatol 2016;28(4):433-40 Hepatology 2012;56(2)614-21
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Nomogram for Recurrence after RFA (BCLC 0/A)
Point Number of Tumor Largest Tumor Serum Albumin MELD Score Risk of recurrence after RFA (BCLC 0/A) Low risk: nomogram score < 9.8 High risk: nomogram score ≥ 9.8 Platelet Count Sum up Total Points Recurrence-free survival Medicine 94(43):e1808
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Scores in Treatment Algorithm
Very Early & Early HCC Nomogram Low-Risk RFA High-Risk SR
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Cohort Characteristics
Prospective cohort of 3,182 HCC in Taiwan Timespan: HBV-related HCC: 41% HCV-related HCC: 23% Curative treatment: 44%
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Percentages of Patients
Score (%) 1 2 3 4 5 6 MESH 13.2 24.7 21.6 15.4 11.6 9.4 4.2 CLIP 30.5 27.4 15.1 11.4 9.5 5.0 1.0 BCLC 8.3 23.1 15.8 40.3 12.4 HKLC 31.5 27.1 10.1 9.3 22.1
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