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Xu F, Zeng Z, Yan B, Fu Y, Sun Y, Yang G, Tu L, Watanabe S, Jabbour SK, Bravaccini S, Fanini F, Zhou J, Shen Y. Safety and efficacy of anti-PD-1 inhibitors in Chinese patients with advanced lung cancer and hepatitis B virus infection: a retrospective single-center study. Transl Lung Cancer Res 2021; 10:1819-1828. [PMID: 34012795 PMCID: PMC8107742 DOI: 10.21037/tlcr-21-79] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Accepted: 04/22/2021] [Indexed: 12/25/2022]
Abstract
BACKGROUND Programmed death protein (ligand) 1 [PD-(L)1] inhibitors have provided new therapeutic options for advanced lung cancer. However, patients with hepatitis B virus (HBV) infection have been traditionally excluded from most registered trials of this form of treatment. METHODS We performed a retrospective analysis of patients with HBV and advanced lung cancer who received anti-PD-1 immunotherapy from September 2018 to May 2020 in our department. Treatment-related hepatotoxicity was evaluated and recorded. Overall response rate and progression free survival were also assessed in the patients using iRECIST. RESULTS Seventeen patients were evaluated in this analysis. Of these, six (35.3%) experienced hepatic transaminase elevation during immunotherapy. Three of these patients developed Grade 3 hepatic immune-related adverse events and received systemic corticosteroids, following which aminotransferase levels recovered to normal in all patients and no adverse events were observed in subsequent treatment. No patient experienced HBV reactivation or flare. One patient developed active pulmonary tuberculosis (TB). Other adverse events were mild, well tolerated and short term. The objective response rate (ORR) of the cohort was 62.5%, and the median progression-free survival (PFS) was 3 months. CONCLUSIONS Lung cancer patients can be treated safely with anti-PD-1 inhibitors in the context of HBV infection. Close monitoring for hepatotoxicity and prophylactic antiviral therapy is advised. Further studies on the use of anti-PD-1 inhibitors in HBV-infected patients are needed.
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Affiliation(s)
- Fei Xu
- Department of Respiratory Diseases, The First Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, China
| | - Zhu Zeng
- Department of Respiratory Diseases, The First Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, China
| | - Bing Yan
- Department of Respiratory Diseases, The First Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, China
| | - Yiqi Fu
- Department of Respiratory Diseases, The First Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, China
| | - Yilan Sun
- Department of Respiratory Diseases, The First Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, China
| | - Guangdie Yang
- Department of Respiratory Diseases, The First Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, China
| | - Lingfang Tu
- Department of Respiratory Diseases, The First Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, China
| | - Satoshi Watanabe
- Department of Respiratory Medicine and Infectious Diseases, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Salma K. Jabbour
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
| | - Sara Bravaccini
- IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
| | - Francesca Fanini
- IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
| | - Jianying Zhou
- Department of Respiratory Diseases, The First Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, China
| | - Yihong Shen
- Department of Respiratory Diseases, The First Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, China
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Perlasca P, Frasca M, Ba CT, Gliozzo J, Notaro M, Pennacchioni M, Valentini G, Mesiti M. Multi-resolution visualization and analysis of biomolecular networks through hierarchical community detection and web-based graphical tools. PLoS One 2020; 15:e0244241. [PMID: 33351828 PMCID: PMC7755227 DOI: 10.1371/journal.pone.0244241] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 12/04/2020] [Indexed: 11/19/2022] Open
Abstract
The visual exploration and analysis of biomolecular networks is of paramount importance for identifying hidden and complex interaction patterns among proteins. Although many tools have been proposed for this task, they are mainly focused on the query and visualization of a single protein with its neighborhood. The global exploration of the entire network and the interpretation of its underlying structure still remains difficult, mainly due to the excessively large size of the biomolecular networks. In this paper we propose a novel multi-resolution representation and exploration approach that exploits hierarchical community detection algorithms for the identification of communities occurring in biomolecular networks. The proposed graphical rendering combines two types of nodes (protein and communities) and three types of edges (protein-protein, community-community, protein-community), and displays communities at different resolutions, allowing the user to interactively zoom in and out from different levels of the hierarchy. Links among communities are shown in terms of relationships and functional correlations among the biomolecules they contain. This form of navigation can be also combined by the user with a vertex centric visualization for identifying the communities holding a target biomolecule. Since communities gather limited-size groups of correlated proteins, the visualization and exploration of complex and large networks becomes feasible on off-the-shelf computer machines. The proposed graphical exploration strategies have been implemented and integrated in UNIPred-Web, a web application that we recently introduced for combining the UNIPred algorithm, able to address both integration and protein function prediction in an imbalance-aware fashion, with an easy to use vertex-centric exploration of the integrated network. The tool has been deeply amended from different standpoints, including the prediction core algorithm. Several tests on networks of different size and connectivity have been conducted to show off the vast potential of our methodology; moreover, enrichment analyses have been performed to assess the biological meaningfulness of detected communities. Finally, a CoV-human network has been embedded in the system, and a corresponding case study presented, including the visualization and the prediction of human host proteins that potentially interact with SARS-CoV2 proteins.
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Affiliation(s)
- Paolo Perlasca
- AnacletoLab, Department of Computer Science, University of Milan, Milan, Italy
| | - Marco Frasca
- AnacletoLab, Department of Computer Science, University of Milan, Milan, Italy
| | - Cheick Tidiane Ba
- AnacletoLab, Department of Computer Science, University of Milan, Milan, Italy
| | - Jessica Gliozzo
- Neuroradiology Unit, IRCCS San Raffaele Hospital, Milan, Italy
| | - Marco Notaro
- AnacletoLab, Department of Computer Science, University of Milan, Milan, Italy
| | - Mario Pennacchioni
- AnacletoLab, Department of Computer Science, University of Milan, Milan, Italy
| | - Giorgio Valentini
- AnacletoLab, Department of Computer Science, University of Milan, Milan, Italy
- CINI National Laboratory in Artificial Intelligence and Intelligent Systems—AIIS, Rome, Italy
| | - Marco Mesiti
- AnacletoLab, Department of Computer Science, University of Milan, Milan, Italy
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Zhu QQ, Wang C, Chen YY, Ding ZY. Impaired Liver Function Implied Shorter Progression Free Survival for EGFR Tyrosine Kinase Inhibitors. Asian Pac J Cancer Prev 2018; 19:2177-2181. [PMID: 30139222 PMCID: PMC6171407 DOI: 10.22034/apjcp.2018.19.8.2177] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Background: Epithelial growth factor receptor tyrosine kinase inhibitor (EGFR TKI) revolutionize the standard of care for advanced non-small cell lung cancer (NSCLC) harboring sensitive EGFR mutation. Liver toxicity is the dose-limiting factor for TKI but its importance is largely overlooked. Here the relationship between the elevation of transaminase and progression-free survival (PFS) was explored. Methods: This was a retrospective study where patients with advanced NSCLC were screened. And those treatment-naïve and with sensitive EGFR mutation who were prescribed with EGFR TKI were enrolled. The highest level of transaminase (alanine aminotransferase, ALT, and aspartate transaminase, AST) during the treatment course was recorded. Results: Totally 208 patients were recruited, and most of them (48.6%) took gefitinib. The whole cohort achieved a median PFS of 11.2 months (95% CI: 10.0-12.3 m). 73 (35.1%) patients had elevated transaminase and most was attributed to gefitinib (n=43, 42.5%). Specifically, ALT was elevated in 65 patients (31.3%) while AST in 24 patients (11.5%). Again, gefitinib was associated with more cases of ALT (40.6%) and AST (17.8%) elevation. The elevation of AST was not related to PFS (P=0.259, HR=0.751, 95% CI: 0.464-1.214). Interestingly, those with normal ALT level had a longer PFS (12.6m, 95% CI: 10.6-14.5 m) than those with elevated ALT (9.5m 95% CI: 7.9-11.0 m, P=0.025, HR=0.682, 95% CI: 0.488-0.953). The inverse relationship was confirmed in the COX regression analysis (P=0.047). Conclusion: This study revealed the side effects of elevated ALT was inversely related to the PFS of EGFR TKI treatment. The liver impairment by TKI should not be overlooked.
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Affiliation(s)
- Qi-Qi Zhu
- Division of Thoracic Cancer, Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
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He Q, Song X, Huang Y, Huang W, Ye B, Luo H, Luo H, Wu L, Wang Z, Chen W, Zhang L. Dexamethasone Stimulates Hepatitis B Virus (HBV) Replication Through Autophagy. Med Sci Monit 2018; 24:4617-4624. [PMID: 29972684 PMCID: PMC6064191 DOI: 10.12659/msm.906250] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Background Reactivation of hepatitis B virus (HBV) is a fatal complication of chemotherapy. Occult HBV infection might be reactivated in patients undergoing chemotherapy or immunosuppression. However, the mechanism of HBV reactivation induced by chemotherapy or immunosuppression remains unclear. Material/Methods HepG2.2.15 cells were treated with an autophagy inducer (rapamycin), an inhibitor (3-methyladenine, 3-MA), and dexamethasone. Autophagosomes were observed by a transmission electron microscope (TEM). LC3-I, LC3-II, and P62 were analyzed by western blot. HBV replicative intermediates were detected by southern blot. HBV DNA expression was quantitated with real-time polymerase chain reaction (PCR). The level of HBV surface antigen (HBsAg) in culture medium was examined by ELISA. Results In this study, we find that dexamethasone stimulates HBV replication and protein expression by inducing autophagy in HepG2.2.15 cells. In contrast, autophagy inhibitor (3-MA) abrogates HBsAg secretion stimulated by dexamethasone. Conclusions Our results suggest that dexamethasone stimulates HBV replication through autophagy. This might provide a novel insight into the mechanism of glucocorticoid-mediated HBV reactivation through autophagy, which might be a new therapeutic target.
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Affiliation(s)
- Qiao He
- Department of Clinical Laboratory, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China (mainland).,Department of Laboratory Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China (mainland)
| | - Xiaoyu Song
- Department of Clinical Laboratory, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China (mainland)
| | - Yecai Huang
- Department of Radiation Oncology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China (mainland)
| | - Wenjuan Huang
- Department of Laboratory Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China (mainland)
| | - Bo Ye
- Department of Clinical Laboratory, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China (mainland)
| | - Huaichao Luo
- Department of Clinical Laboratory, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China (mainland)
| | - Hao Luo
- Department of Clinical Laboratory, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China (mainland)
| | - Lichun Wu
- Department of Clinical Laboratory, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China (mainland)
| | - Zuo Wang
- Department of Clinical Laboratory, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China (mainland)
| | - Weixian Chen
- Department of Laboratory Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China (mainland)
| | - Li Zhang
- Department of Clinical Laboratory, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China (mainland)
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Buti M, Manzano ML, Morillas RM, García-Retortillo M, Martín L, Prieto M, Gutiérrez ML, Suárez E, Gómez Rubio M, López J, Castillo P, Rodríguez M, Zozaya JM, Simón MA, Morano LE, Calleja JL, Yébenes M, Esteban R. Randomized prospective study evaluating tenofovir disoproxil fumarate prophylaxis against hepatitis B virus reactivation in anti-HBc-positive patients with rituximab-based regimens to treat hematologic malignancies: The Preblin study. PLoS One 2017; 12:e0184550. [PMID: 28898281 PMCID: PMC5595327 DOI: 10.1371/journal.pone.0184550] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2017] [Accepted: 08/10/2017] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Hepatitis B virus (HBV) reactivation in patients with resolved HBV infection (HBsAg negative, antiHBc positive) is uncommon, but potentially fatal. The role of HBV prophylaxis in this setting is uncertain. The aim of this study was to compare the efficacy of tenofovir disoproxil fumarate (TDF) prophylaxis versus close monitoring in antiHBc-positive, HBsAg-negative patients under treatment with rituximab (RTX)-based regimens for hematologic malignancy. METHODS PREBLIN is a phase IV, randomized, prospective, open-label, multicenter, parallel-group trial conducted in 17 hospitals throughout Spain. Anti-HBc-positive, HBsAg-negative patients with undetectable HBV DNA were randomized to receive TDF 300 mg once daily (Group I) or observation (Group II). The primary endpoint was the percentage of patients showing HBV reactivation during 18 months following initiation of RTX treatment. Patients with detectable HBV DNA (Group III) received the same dose of TDF and were analyzed together with Group I to investigate TDF safety. RESULTS Sixty-one patients were enrolled in the study, 33 in the TDF treatment group and 28 in the observation group. By ITT analysis, HBV reactivation was 0% (0/33) in the study group and 10.7% (3/28) in the observation group (p = 0.091). None of the patients in either group showed significant differences in liver function parameters between baseline and the last follow-up sample. TDF was generally well tolerated and there were no severe treatment-related adverse events. CONCLUSION In patients with hematological malignancy and resolved hepatitis B infection receiving RTX-based regimens, HBV reactivation did not occur in patients given TDF prophylaxis.
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Affiliation(s)
- María Buti
- Liver Unit, Hospital Vall Hebron and CIBEREHD del Instituto Carlos III, Barcelona, Spain
| | - María L. Manzano
- Department of Hepatology, Hospital Doce de Octubre, Madrid, Spain
| | - Rosa M. Morillas
- Department of Hepatology, Hospital Germans Trias i Pujol, Badalona, Barcelona, Spain
| | | | - Leticia Martín
- Department of Hepatology, Hospital de Donostia, San Sebastián, Spain
| | - Martín Prieto
- Department of Hepatology, Hospital Universitario i Politécnico La Fe, Valencia, Spain
| | | | - Emilio Suárez
- Department of Hepatology, Hospital Nuestra Señora de Valme, Seville, Spain
| | | | - Javier López
- Department of Hematology, Hospital Ramón y Cajal, Madrid, Spain
| | - Pilar Castillo
- Department of Hepatology, Hospital La Paz, Madrid, Spain
| | - Manuel Rodríguez
- Department of Hepatology, Hospital Central de Asturias, Oviedo, Spain
| | - José M. Zozaya
- Department of Gastroenterology, Hospital de Navarra, Pamplona, Spain
| | - Miguel A. Simón
- Department of Hepatology, Hospital Clínico Lozano Blesa, Zaragoza, Spain
| | - Luis E. Morano
- Department of Infectious Diseases, Hospital do Meixoeiro, Vigo, Spain
| | - José L. Calleja
- Department of Gastroenterology, Hospital Puerta de Hierro Majadahonda, Madrid, Spain
| | - María Yébenes
- Pharmacoeconomics & Outcomes Research Iberia, Madrid, Spain
| | - Rafael Esteban
- Liver Unit, Hospital Vall Hebron and CIBEREHD del Instituto Carlos III, Barcelona, Spain
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