1. Jihye Choi 2014.09.25. 2014. June

2. Introduction Hepatitis B virus -Four overlapping reading frames -S: the viral surface proteins -P: viral polymerase -X: regulatory X protein, HBX -C: antigens ‘e’ and ‘c’ HBV infection -Chronic liver disease -Hepatocellular carcinoma (HCC) -Chromosomal instability, promoting cell proliferation -Gene mutation, insertion, deletions or rearrangements of the host genome Identified most frequently insertion sites of HBV -Proximity to TERT (activating telomerase) and MLL4 gene  role in HCC carcinogenesis HBV and aflatoxin B1 (AFB1) -5-10-fold higher risk of HCC developments as compared with HBV or AFB1 alone -AFB1 exposure  Mutation at 249 in TP53 (AGG-> AGT)

3. Introduction Previous work The Six main subgroups (G1-G6) of HCC according to transcriptomic profile -G1-G2: overexpression of fetal stage-associated genes -G3: TP53 mutations, adverse clinical outcome -G4: heterogeneous subgroup -G5-G6: beta-catenin mutation (lead to Wnt pathway activation) (Hepatology, 2007)

4. Result :Studied cohort characteristics

5. Result :Studied cohort characteristics

6. Method: HBX, HBS Sequencing (86 HCC, 84 non-tumour) Figure 1. HBV virus profile in tumour and non-tumour adjacent samples. (A and B) Spectra of mutation in HBS and HBX gene in tumour and paired non-tumour samples. ▶ Mutations inactivating HBX are selected in tumours. Substitution at residues I127, K130 and V131 are not. (I127N/T/L, K130M/K/Q, V131I/L/T have been previously identified in HCC tumours -> both in non-tumour, tomour in this study) Result : Viral characterization in tumour and non-tumour tissues

7. ▶ A lower amount of total HBS DNA copy in the tumour tissues ▶ related to non-replicative viral genome ▶ Thus, in tumours, the mutations observed in HBV sequences should be mainly related to non-replicative form of the virus. (C) Distribution of tumour and non-tumour samples according to quantification of HBV copy/cell and determination of two groups characterised by low ( 0.5 HBV copy/cell) copy number. (D) Correlation of HBV quantification (log10 copy/cell) in tumour and paired non-tumour samples. p Values obtained from χ2 (*) and Willcoxon signed rank (**) tests are shown.

8. Result : Spectrum of somatic gene mutations correlates with HBV infection and survival *The nine genes previously described as frequently altered in HCC *NFE2L2 coding NRF2, a key transcription factor involved in oxidative stress response *CTNNB1 activating mutation *R249S: specific of AFB1 exposure ▶ The WNT/beta-catenin and the oxidative stress pathways are significantly less frequently activated by gene mutations in HBV-related carcinogenesis. *IRF2: tumour suppressor gene controlling p53 protein activation

9. * IRF2 and TP53 mutations were mutually exclusive in tumours (P=0.002, data not shown)

11. ▶ TP53 mutation, Edmondson III-IV, Portal invasion, Microvascular invasion -> risk factor in HBV+HCC ▶ Origin (European) -> good prognoisis in HBV+HCC

12. Result : Integration of transcriptomic profiling in HBV-related HCC classification - Selected 37 genes differentially expressed among the different HCC subgroups previously defined by transcriptomic profiling. - Classified the 176 HCC samples according to the six defined transcriptomic subgroups G1-G6.

13. ▶ The genes associated with progenitor features (EpCAM, AFP, KRT19 and CCNB1) were globally significantly overexpressed in HBV HCC. ▶ HBV-HCC more frequently demonstrates a progenitor profile than the other tumours.

14. Figure 5. Schematisation of the different HBV-HCC subgroups (G1–G6) defined by transcriptome analysis with their related clinical and genetic alteration. Red and green indicate overexpression and under-expression of gene, respectively, in the corresponding transcriptomic subgroup(s). P Values obtained from χ2 tests are shown. G1-G3 ▶ 57%, large tumor (>55mm), P=0.006 ▶ HBX inactivating mutations, P=0.001 ▶ Somatic AXIN1 mutation, P=0.03 ▶ The proliferative/stem cell features (overexpression of AURKA, BRIC5, NEU1, CCNB1, downexpression of genes involved in differentiation, UGT2B7) ▶ less differentiation, P=0.01 G1-G2 ▶ IRF2 inactivating alterations, P=0.006 ▶ high overexpression of genes encoding oncofetal/progenitor proteins like epithelial cell adhesion molecule (EPCAM), AFP and KRT19. G3 ▶ vascular invasion, P=0.008 ▶ SPP1 overexpression G2-G3 ▶ TP53 mutations, all including R249S substitution ▶ early recurrence, P=0.01

15. Figure 5. Schematisation of the different HBV-HCC subgroups (G1–G6) defined by transcriptome analysis with their related clinical and genetic alteration. Red and green indicate overexpression and under-expression of gene, respectively, in the corresponding transcriptomic subgroup(s). P Values obtained from χ2 tests are shown. G4-G6 ▶ Risk factor: HCV, alcohol intake, NASH ▶ HBV genome interaction would be less important for carcinogenesis in G5-G6 HCC. G4 ▶ A lower number of HBS DNA copy/cell, P=0.06 ▶ A good histological HCC differentiation, P=0.006 G5-G6 ▶ Order patients, P=0.0007 ▶ CTNNB1 activating mutation related to WNT/beta-catenin pathway activation ▶ four well-known WNT/beta-catenin target genes (An overexpression of GLUL, TBX3, RHBG and a down-expression of HAL)