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77 Association between programmed death-ligand 1 (PD-L1) expression and gene signatures of response or resistance to tislelizumab monotherapy in hepatocellular carcinoma (HCC)
  1. Ming-Mo Hou1,
  2. Kun-Ming Rau2,
  3. Yoon-Koo Kang3,
  4. Jong-Seok Lee4,
  5. Hongming Pan5,
  6. Ying Yuan6,
  7. Cunjing Yu7,
  8. Yun Zhang7,
  9. Xiaopeng Ma7,
  10. Xikun Wu7,
  11. Xin Li7,
  12. Katie Wood8 and
  13. Chia-Jui Yen9
  1. 1Chang Gung Memorial Hospital, Taoyuan, Taiwan, Province of China
  2. 2Kaohsiung Chang Gung Memorial Hospital, Kaohsiung City, Taiwan, Province of China
  3. 3Asan Medical Center, Seoul, Korea, Republic of
  4. 4National University Bundang Hospital, Seongnam-si, Korea, Republic of
  5. 5Sir Run Run Shaw Hospital, Hangzhou, China
  6. 6Second Affiliated Hospital Zhejiang, Hangzhou, China
  7. 7BeiGene (Beijing) Co., Ltd., Beijing, China
  8. 8BeiGene USA, Inc., San Mateo, CA, USA
  9. 9National Cheng Kung University Hospital, Tainan City, Taiwan, Province of China

Abstract

Background PD-1/L1 inhibitors are treatment options for patients with HCC who have progressed after first-line sorafenib treatment. Tislelizumab, an anti-PD-1 monoclonal antibody, has demonstrated single-agent antitumor activity in patients with advanced, previously treated HCC in two early phase studies (NCT02407990, NCT04068519). Association of biomarkers, including PD-L1 expression and gene expression profiles (GEP), with response and resistance to tislelizumab were explored.

Methods PD-L1 expression was evaluated on tumor cells (TC) using the VENTANA PD-L1 (SP263) assay in baseline tumor samples collected before or after sorafenib treatment. GEP were assessed using the 1392-gene HTG GEP EdgeSeq panel. Signature scores were calculated using the Gene Set Variation Analysis package with publicly available gene signatures (GS). Wilcoxon rank-sum test was used to analyze differential gene signatures (DEG); GS association with PFS and OS was evaluated using Cox proportional hazards models.

Results Single-agent tislelizumab demonstrated antitumor activity in advanced, previously treated HCC (ORR=13%; CB [PR+SD >6 months]=31%, median PFS=3.3 months; median OS=13.3 months). PD-L1+ (TC≥1%) prevalence and GEP showed different patterns in samples collected before and after sorafenib exposure (figure 1). While non-exposed samples (n=16) were enriched for immune suppressive signatures, sorafenib-exposed samples (n=41) showed higher PD-L1+ prevalence (53.7% vs 25%; P=0.08) and immune-cell activation signatures along with co-inhibition molecules. In sorafenib-exposed samples, PD-L1 expression was positively correlated with CB (P=0.0027) and a trend of longer PFS (HR=0.56, 95% CI:0.28–1.13). ORR was higher in PD-L1+ than PD-L1 sorafenib-exposed samples (23.8% vs 0%; P=0.049). DEG analysis in sorafenib-exposed samples demonstrated that NK-mediated cytotoxicity GS was positively correlated with CB (P=0.03), as well as a trend of longer PFS (HR=0.43, 95% CI:0.17–1.06). Across the different analyses, no correlation with OS was observed. Patients considered non-responders (NRs) were found clustered into three distinct GEP subgroups (NR1, NR2, NR3). Compared with responders, NR1 had enhanced angiogenesis signatures (P=0.01), including TEK, KDR, HGF, and EGR1. Despite high inflamed tumor signatures, NR2 had increased expression of T-cell inhibition GS scores (P=0.01), including CD274, CTLA4, TIGIT, and CD96. The NR3 subgroup showed higher cell-cycle GS scores compared with responders (P=0.05), including E2F7, FOXA1, and FANCD2.

Abstract 77 Figure 1

Median difference in gene signatures before and after sorafenib exposure

Conclusions Prior sorafenib exposure appears to be associated with increased PD-L1 expression and tumor microenvironment-related GS, as well as response and PFS from tislelizumab in advanced HCC patients. Elevated angiogenesis, immune exhaustion, and cell-cycle GS levels may indicate resistance to single-agent PD-1 inhibitors and is suggestive of potential treatment strategies. Validation is warranted in future clinical trials (NCT03412773).

Acknowledgements This study was sponsored by BeiGene, Ltd. Writing and editorial assistance was provided by Regina Switzer, PhD, and Elizabeth Hermans, PhD (OPEN Health Medical Communications, Chicago. IL), and funded by the study sponsor.

Trial Registration NCT02407990, NCT04068519

http://creativecommons.org/licenses/by-nc/4.0/

This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.

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