Literature DB >> 35711837

Effect of Atezolizumab plus Bevacizumab in Patients with Hepatocellular Carcinoma Harboring CTNNB1 Mutation in Early Clinical Experience.

Keita Ogawa1, Hiroaki Kanzaki1, Tetsuhiro Chiba1, Junjie Ao1, Na Qiang1, Yaojia Ma1, Jiaqi Zhang1, Sae Yumita1, Takamasa Ishino1, Hidemi Unozawa1, Motoyasu Kan1, Terunao Iwanaga1, Miyuki Nakagawa1, Kisako Fujiwara1, Naoto Fujita1, Takafumi Sakuma1, Keisuke Koroki1, Yuko Kusakabe1, Kazufumi Kobayashi1, Naoya Kanogawa1, Soichiro Kiyono1, Masato Nakamura1, Takayuki Kondo1, Tomoko Saito1, Ryo Nakagawa1, Sadahisa Ogasawara1, Eiichiro Suzuki1, Shingo Nakamoto1, Ryosuke Muroyama2, Tatsuo Kanda3, Hitoshi Maruyama4, Naoya Mimura5, Jun Kato1, Shinichiro Motohashi6, Naoya Kato1.   

Abstract

Atezolizumab plus bevacizumab (ATZ/BV) treatment is a combined immunotherapy consisting of immune checkpoint inhibitor (ICI) and anti-vascular endothelial growth factor monoclonal antibody, which has brought a major paradigm shift in the treatment of unresectable hepatocellular carcinoma (HCC). Gain-of-function mutation of CTNNB1 contributes to resistance of ICI monotherapy through the framework of non-T-cell-inflamed tumor microenvironment. However, whether CTNNB1 mutation renders resistance to ATZ/BV similar to ICI monotherapy remains to be elucidated. In this study, a liquid biopsy sample in plasma of 33 patients with HCC treated with ATZ/BV was subjected to droplet digital PCR for detecting hotspot mutations at the exon 3 of CTNNB1 locus. A total of eight patients (24.2%) exhibited at least one CTNNB1 mutation. The objective response rate (ORR) in patients with wild-type (WT) and mutant (MT) CTNNB1 was 8.0% and 12.5%, respectively, and the disease control rate (DCR) was 68.0% and 87.5%, respectively. No significant difference in both ORR and DCR has been observed between the two groups. The median progression-free survival in patients with WT and MT CTNNB1 was 6.6 and 7.6 months, respectively (not statistically significant). Similarly, no significant difference in overall survival has been observed between patients with WT and MT CTNNB1 (13.6 vs. 12.3 months). In conclusion, the treatment effect of ATZ/BV in patients with HCC with MT CTNNB1 was comparable to those patients with WT CTNNB1. These results implicate that BV added to ATZ might improve immunosuppressive tumor microenvironment caused by CTNNB1 mutation. © The author(s).

Entities:  

Keywords:  CTNNB1; HCC; Liquid biopsy; atezolizumab plus bevacizumab

Year:  2022        PMID: 35711837      PMCID: PMC9174847          DOI: 10.7150/jca.71494

Source DB:  PubMed          Journal:  J Cancer        ISSN: 1837-9664            Impact factor:   4.478


Introduction

Recent advances in next-generation sequencer (NGS) and analysis solutions have made it possible to analyze the genomes in a variety of cancers. Although a number of driver gene mutations was detected in hepatocellular carcinoma (HCC), among which TERT promoter, CTNNB1, and TP53, are found to be most frequent 1, 2. CTNNB1 mutations are usually detected in exon 3 which encodes serine-threonine phosphorylation sites for GSK-3β that activates β-catenin degradation. Subsequently, CTNNB1 mutation at the site leads to constitutive activation of Wnt/β-catenin signaling 3. Recent omics analyses have successfully shown that HCC with CTNNB1 mutation is characterized by small-sized and well-differentiated tumor and are considered to be a group with a favorable prognosis 4, 5. Additionally, CTNNB1 mutation is also enriched in non-T-cell-inflamed tumors 6, which render poor clinical response to immune checkpoint inhibitor (ICI) in HCC 7. Recently, atezolizumab plus bevacizumab (ATZ/BV) has been approved as a first-line treatment for advanced HCC 8. This treatment consists of ICI and anti-vascular endothelial growth factor (VEGF) antibody and is positioned as an immune complex therapy. The association between CTNNB1 mutation and the therapeutic effect of ATZ/BV is of interest but remains to be elucidated. In this study, hot spot mutations of CTNNB1 have been detected at Ser33, Ser37, Thr41 and Ser45 by droplet digital polymerase chain reaction (ddPCR) using circulating tumor DNA (ctDNA) of patients with HCC, and their relationship with ATZ/BV treatment response and prognosis has been investigated.

Materials and Methods

Among the patients treated with ATZ/BV for HCC in our hospital between October 2020 and June 2021, this study included a total of 33 patients of whom blood samples were collected before treatment initiation. After obtaining the informed consent, ctDNA was extracted from the plasma samples using the MagMAX Cell-Free DNA Isolation Kit (Thermo Fisher Scientific, Waltham, MA) with King Fisher Duo Prime (Thermo Fisher Scientific). The cell-free DNA concentration was measured using Qubit 4 Fluorometer (Thermo Fisher Scientific). The ddPCR Mutation Detection Assays and the QX200 droplet digital PCR system (Bio-Rad, Hercules, CA) have been used for detecting mutant CTNNB1 in exon 3 at Ser33 (A95G/A95T), Ser37 (C98G), Thr41 (A121G), and Ser45 (T133C/C134T) 9. A95G/A95T and T133C/C134T have been detected using cocktail mutant primer/probe mixture. Mutation allele frequency (MAF) value greater than 0.1% was considered to be positive for the mutation. Patients received ATZ/BV intravenously every 3 weeks. Radiological assessments have been evaluated using contrast-enhanced CT or MRI at every two cycles according to the Response Evaluation Criteria in Solid Tumors, version 1.1 (RECIST 1.1) 10. Adverse events (AEs) were evaluated according to the National Cancer Institute Common Terminology Criteria for Adverse Events (CTCAE), version 4.0 11. Statistical comparisons of clinical variables between two groups (CTNNB1 wild-type (WT) and mutant (MT)) have been performed using unpaired t-test, Fisher's exact test or Pearson's chi-square test. The Kaplan-Meier method and the log-rank test have been used to determine progression-free survival (PFS) and overall survival (OS). P-values <0.05 were considered statistically significant. All statistical analyses were performed using the SPSS statistical software version 24 (IBM, Chicago, IL). This study was approved by the research ethics committees of the Graduate School of Medicine, Chiba University (approval number: 1090, 3416, and 3950).

Results

Plasma samples from 33 patients treated with ATZ/BV, including 26 men and 7 women whose average age was 72 years (range, 48-89 years), have been analyzed (Table 1). Chronic liver damage was due to HBV (n = 3), HCV (n = 8), alcohol (n = 3), and others (n = 19). According to the Child-Pugh classification, they were classified as class A5 (n = 18), and class A6 (n = 15). The number of patients with BCLC stage B and C was 8 and 25, respectively. Eighteen patients were treated with ATZ/BV as a first-line systemic chemotherapy. Fourteen and eighteen patients were accompanied by macrovascular invasion (MVI) and extrahepatic spread (EHS), respectively.
Table 1

Patients' characteristics at baseline

CharacteristicsAll patients(n = 33)CTNNB1 WT(n = 25)CTNNB1 MT(n = 8)p-value
Age (years, median)7270760.110
Gender (male/female)26/720/56/2>0.999
Etiology (Viral/Non-viral)11/2210/151/70.218
Child-Pugh grade (A5/A6)18/1512/136/20.242
BCLC stage (B/C)8/254/214/40.366
Prior systemic therapy (yes/no)15/1813/122/60.242
AFP (ng/mL, median)13326.316826.92387.00.555
Tumor number (≧4/<4)15/1810/155/30.418
Macrovascular invasion (yes/no)14/1913/121/70.098
Extrahepatic spread (yes/no)18/1514/114/4>0.999

Abbreviations: WT, wild-type; MT, mutant; AFP, alpha-fetoprotein; BCLC, Barcelona clinic liver cancer

※Viral group was defined as patients who were HBs antigen-positive and/or HCV antibody-positive, while the non-viral group was defined as all others.

The ctDNA of these patients was successfully subjected to ddPCR assays (Figure 1A). At least one missense mutation in the CTNNB1 in exon 3 was found in 8 of 33 patients (24.2%), and the median MAF was 0.47% (range: 0.1%-26.8%) (Figure 1B). No significant difference in clinical background variables has been observed between the WT and MT groups (Table 1). In addition, there was no significant difference in the size, vascularity, and forms in nodules with the largest diameters among two groups 12.
Figure 1

Droplet digital PCR assays using circulating tumor DNA extracted from plasma of patients with hepatocellular carcinoma treated with atezolizumab plus bevacizumab. (A) Representative droplet digital PCR assay for detecting CTNNB1 mutation at Thr41 (A121G). Black, green, blue, and orange dots indicate empty droplets, wild-type DNA HEX-positive droplets, mutant DNA FAM-positive droplets, and wild-type and mutant double-positive droplets, respectively. (B) Summary of results for the detection of CTNNB1 mutations in all patients. (C) Progression-free survival of patients based on CTNNB1 mutations.

AEs of any grades were observed in 6 (75.0%) and 19 patients (76.0%) with WT and MT CTNNB1, respectively. The most frequent adverse events in WT group were hypertension (28.0%), fatigue (20.0%), and proteinuria (16.0%). Similarly, those in MT group were hypertension, proteinuria, and rush (25.0%). Immune-related adverse events (irAEs) were suspected in 5 patients (hypothyroidism, hypopituitarism, and rush) in WT group and 3 patients (hyperthyroidism, rush, and type 1 diabetes) in MT group. Subsequently, treatment response and prognosis have been investigated based on the presence or absence of CTNNB1 mutation. The objective response rate (ORR) in patients with WT and MT CTNNB1 was 8.0% (2/25) and 12.5% (1/8), respectively (Table 2). The disease control rate (DCR) in patients with WT and MT CTNNB1 was 68.0% (17/25) and 87.5% (7/8), respectively. Collectively, no significant difference in both ORR and DCR has been observed. Even if limited to patients who have not undergone prior systemic chemotherapy, there was no significant difference in ORR and DCR among the patients with or without CTNNB1 mutation. During the follow-up period (median: 8.2 months), no statistically significant difference in PFS has been observed between the two groups (median: 6.6 vs. 7.6 months, p = 0.772) (Figure 1C). Similarly, no statistically significant difference in OS has been also observed between the two groups (median: 13.6 vs. 12.3 months). Together, although the study was based on a limited number of cases, both treatment response and prognosis in patients with CTNNB1 mutations were comparable to those in patients without CTNNB1 mutations.
Table 2

Response to treatment

CTNNB1 WT (n = 25)CTNNB1 MT (n = 8)p-value
Best response
CR00
PR21
SD156
PD81
ORR (%)8.012.5>0.999
DCR (%)68.087.50.394

Abbreviations: WT, wild-type; MT, mutant; CR, complete response; PR, partial response; SD, stable disease; PD, progressive disease; ORR, objective response rate; DCR, disease control rate

Discussion

To eradicate cancer cells, it is important that the series of stepwise events, so called “cancer-immunity cycle,” functions properly in tumors, lymph nodes, and vessels 13. However, tumor cells are known to have immune escape mechanisms including PD-1/PD-L1 and CTLA4 pathways 14. They were called immune checkpoint pathways, which make it difficult to eliminate tumor cells by cytotoxic T cells (CTLs) 15. ICIs including ATZ are inhibitory antibodies against checkpoint molecules and reactivate suppressed immune responses 16. However, tumors with CTNNB1 mutations are known as non-T-cell-inflamed tumors, which do not respond well to ICI 17. Conversely, VEGF, the target of bevacizumab, binds to VEGF receptor 2 specifically expressed on vascular endothelial cells 18. VEGF not only promotes the proliferation and migration of vascular endothelial cells, but also suppresses tumor immunity by acting on various immune cells 19. Therefore, this study sought to evaluate the therapeutic efficacy of ATZ/BV combination therapy in patients with HCC with CTNNB1 mutation who would not respond to ICI alone. Liquid biopsy is a minimally invasive approach, mainly by collecting blood, and can be performed repeatedly 20. Unlike tissue biopsy samples, liquid samples are less susceptible to the bias of tumor heterogeneity 21. Firstly, ctDNA was extracted from plasma by liquid biopsy, and subsequently ddPCR assays were conducted. As a result, CTNNB1 mutation was detected in 8 of 33 patients (24.2%). Considering that the frequency of mutations has been reported to be ranging from 23% to 36% in NGS analyses of HCC tissue samples 22, 23, although the detection rate was slightly lower in this study, it was considered acceptable for ddPCR to detect specific mutations. Given that tumor-derived DNA is a small fraction of cell-free DNA in plasma, it is often difficult to detect mutations by liquid biopsy in cases with low tumor burden. Consistent with this finding, it has been reported that the concordance rate of mutation detection between tissue and liquid biopsies is up to 70% 24. COSMIC database shows that CTNNB1 mutation rate in HCC is higher in Europe and Americas than in Asia 25. In addition, CTNNB1 mutation is reported to be associated with HCV-related HCC 26. The current analysis population was a relatively small number of Japanese patients with 24.2% of HCV-positive rate. This might be also one of the reasons for the lower CTNNB1 mutation detection rate compared to previous reports. Importantly, no significant difference in the percentage of RECIST-based treatment response has been observed between WT and MT CTNNB1 groups. Concordant with these results, no significant difference was observed in both PFS and OS. It is well known that OS of patients with advanced cancer is also affected by later-line treatment. Our current study was conducted over a relatively short observation period. Taking into consideration that clinical applications of Wnt inhibitors are being attempted for advanced HCC 27, the impact of CTNNB1 mutation on survival in patients treated with ATZ/BV should be further investigated. Blockade of VEGF is known to increase CTL infiltration and decrease immunosuppressive cells, including regulatory T cells and myeloid-derived suppressor cells, thereby promoting tumor cell recognition and cancer cell death 28, 29. Additionally, it is known that anti-VEGF promotes dendritic cell maturation and accelerates T-cell priming 30. Altogether, BV added to ATZ might change the “non-inflamed” pathological features of HCC with mutant CTNNB1 to the “inflamed” thorough the modification of “cancer-immunity cycle.” This should be confirmed by pathological examination of paired tumor tissues before and after ATZ/BV administration. In conclusion, our results suggest the possibilities that the therapeutic effect of ATZ/BV is not attributable to the presence or absence of CTNNB1 mutation. Further analysis with a large number of patients and for a longer observation period would be necessary to build solid evidences.
  30 in total

Review 1.  Immune checkpoint blockade: a common denominator approach to cancer therapy.

Authors:  Suzanne L Topalian; Charles G Drake; Drew M Pardoll
Journal:  Cancer Cell       Date:  2015-04-06       Impact factor: 31.743

Review 2.  Predictive markers of anti-VEGF and emerging role of angiogenesis inhibitors as immunotherapeutics.

Authors:  Priti S Hegde; Jeffrey J Wallin; Christoph Mancao
Journal:  Semin Cancer Biol       Date:  2017-12-08       Impact factor: 15.707

3.  WNT/β-catenin Pathway Activation Correlates with Immune Exclusion across Human Cancers.

Authors:  Jason J Luke; Riyue Bao; Randy F Sweis; Stefani Spranger; Thomas F Gajewski
Journal:  Clin Cancer Res       Date:  2019-01-11       Impact factor: 12.531

Review 4.  Oncology meets immunology: the cancer-immunity cycle.

Authors:  Daniel S Chen; Ira Mellman
Journal:  Immunity       Date:  2013-07-25       Impact factor: 31.745

5.  Vascular Endothelial Growth Factor (VEGF) and Its Receptor (VEGFR) Signaling in Angiogenesis: A Crucial Target for Anti- and Pro-Angiogenic Therapies.

Authors:  Masabumi Shibuya
Journal:  Genes Cancer       Date:  2011-12

Review 6.  Exploration of liver cancer genomes.

Authors:  Tatsuhiro Shibata; Hiroyuki Aburatani
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2014-01-28       Impact factor: 46.802

7.  Exome sequencing of hepatocellular carcinomas identifies new mutational signatures and potential therapeutic targets.

Authors:  Kornelius Schulze; Sandrine Imbeaud; Eric Letouzé; Ludmil B Alexandrov; Julien Calderaro; Sandra Rebouissou; Gabrielle Couchy; Clément Meiller; Jayendra Shinde; Frederic Soysouvanh; Anna-Line Calatayud; Roser Pinyol; Laura Pelletier; Charles Balabaud; Alexis Laurent; Jean-Frederic Blanc; Vincenzo Mazzaferro; Fabien Calvo; Augusto Villanueva; Jean-Charles Nault; Paulette Bioulac-Sage; Michael R Stratton; Josep M Llovet; Jessica Zucman-Rossi
Journal:  Nat Genet       Date:  2015-03-30       Impact factor: 38.330

8.  Prospective Genotyping of Hepatocellular Carcinoma: Clinical Implications of Next-Generation Sequencing for Matching Patients to Targeted and Immune Therapies.

Authors:  Nikolaus Schultz; Ghassan K Abou-Alfa; James J Harding; Subhiksha Nandakumar; Joshua Armenia; Danny N Khalil; Melanie Albano; Michele Ly; Jinru Shia; Jaclyn F Hechtman; Ritika Kundra; Imane El Dika; Richard K Do; Yichao Sun; T Peter Kingham; Michael I D'Angelica; Michael F Berger; David M Hyman; William Jarnagin; David S Klimstra; Yelena Y Janjigian; David B Solit
Journal:  Clin Cancer Res       Date:  2018-10-29       Impact factor: 12.531

9.  Liquid versus tissue biopsy for detecting acquired resistance and tumor heterogeneity in gastrointestinal cancers.

Authors:  Aparna R Parikh; Ignaty Leshchiner; Liudmila Elagina; Lipika Goyal; Chaya Levovitz; Giulia Siravegna; Dimitri Livitz; Kahn Rhrissorrakrai; Elizabeth E Martin; Emily E Van Seventer; Megan Hanna; Kara Slowik; Filippo Utro; Christopher J Pinto; Alicia Wong; Brian P Danysh; Ferran Fece de la Cruz; Isobel J Fetter; Brandon Nadres; Heather A Shahzade; Jill N Allen; Lawrence S Blaszkowsky; Jeffrey W Clark; Bruce Giantonio; Janet E Murphy; Ryan D Nipp; Eric Roeland; David P Ryan; Colin D Weekes; Eunice L Kwak; Jason E Faris; Jennifer Y Wo; François Aguet; Ipsita Dey-Guha; Mehlika Hazar-Rethinam; Dora Dias-Santagata; David T Ting; Andrew X Zhu; Theodore S Hong; Todd R Golub; A John Iafrate; Viktor A Adalsteinsson; Alberto Bardelli; Laxmi Parida; Dejan Juric; Gad Getz; Ryan B Corcoran
Journal:  Nat Med       Date:  2019-09-09       Impact factor: 53.440

10.  Integrative transcriptome analysis reveals common molecular subclasses of human hepatocellular carcinoma.

Authors:  Yujin Hoshida; Sebastian M B Nijman; Masahiro Kobayashi; Jennifer A Chan; Jean-Philippe Brunet; Derek Y Chiang; Augusto Villanueva; Philippa Newell; Kenji Ikeda; Masaji Hashimoto; Goro Watanabe; Stacey Gabriel; Scott L Friedman; Hiromitsu Kumada; Josep M Llovet; Todd R Golub
Journal:  Cancer Res       Date:  2009-09-01       Impact factor: 12.701

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