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A New Model to Estimate Survival for Hepatocellular Carcinoma Patients

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Presentation on theme: "A New Model to Estimate Survival for Hepatocellular Carcinoma Patients"— Presentation transcript:

1 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

2 The Authors Have Nothing to Disclose
Disclosure The Authors Have Nothing to Disclose

3 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:

4 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:

5 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:

6 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

7 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 ( )

8 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

9 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

10 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

11 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

12 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

13 Validation of MESH Score

14 Kaplan-Meier Curve in Validation Cohort
Significant Survival Differences across all MESH Scores

15 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

16 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

17 MESH Score in Different Clinical Settings
HBV- & HCV-related HCC Curative & Non-curative Treatment BCLC & HKLC

18 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

19 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

20 BCLC 0/A and HKLC I/II HCC
MESH Score Discriminate Survival for Earlier HCC

21 BCLC B/C/D and HKLC III/IV/V HCC
MESH Score Discriminate Survival for Later HCC

22 Limitations Choice of predictors and their cut-points
Developed from “treated cohort” Lack of external validation

23 MESH Score - Summary Simple, common, and accurate
Can be used in different clinical settings Supplementary to current staging systems

24 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

25 Supplementary Materials
Cohort characteristics Detailed MESH score Choosing cut-off values Can scores guide treatment decisions ?

26 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

27 Performance of Detail MESH Score
Model Homogeneity (Wald χ2) Corrected Akaike information criteria BCLC HKLC TIS CLIP MESIAH MESH Detailed MESH

28 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

29 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

30 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)

31 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

32 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

33 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

34 Scores in Treatment Algorithm
Very Early & Early HCC Nomogram Low-Risk RFA High-Risk SR

35 Cohort Characteristics
Prospective cohort of 3,182 HCC in Taiwan Timespan: HBV-related HCC: 41% HCV-related HCC: 23% Curative treatment: 44%

36 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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