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Reddi KK, Chava S, Chabattula SC, Edwards YJK, Singh K, Gupta R. ASAH1 facilitates TNBC by DUSP5 suppression-driven activation of MAP kinase pathway and represents a therapeutic vulnerability. Cell Death Dis 2024; 15:452. [PMID: 38926346 PMCID: PMC11208621 DOI: 10.1038/s41419-024-06831-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 06/07/2024] [Accepted: 06/12/2024] [Indexed: 06/28/2024]
Abstract
Triple-negative breast cancer (TNBC) is a subtype of breast cancer that is prone to metastasis and therapy resistance. Owing to its aggressive nature and limited availability of targeted therapies, TNBC is associated with higher mortality as compared to other forms of breast cancer. In order to develop new therapeutic options for TNBC, we characterized the factors involved in TNBC growth and progression. Here, we demonstrate that N-acylsphingosine amidohydrolase 1 (ASAH1) is overexpressed in TNBC cells and is regulated via p53 and PI3K-AKT signaling pathways. Genetic knockdown or pharmacological inhibition of ASAH1 suppresses TNBC growth and progression. Mechanistically, ASAH1 inhibition stimulates dual-specificity phosphatase 5 (DUSP5) expression, suppressing the mitogen-activated protein kinase (MAPK) pathway. Furthermore, pharmacological cotargeting of the ASAH1 and MAPK pathways inhibits TNBC growth. Collectively, we unmasked a novel role of ASAH1 in driving TNBC and identified dual targeting of the ASAH1 and MAPK pathways as a potential new therapeutic approach for TNBC treatment.
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Affiliation(s)
- Kiran Kumar Reddi
- Department of Biochemistry and Molecular Genetics, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - Suresh Chava
- Department of Biochemistry and Molecular Genetics, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - Siva Chander Chabattula
- Department of Biochemistry and Molecular Genetics, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - Yvonne J K Edwards
- Department of Biochemistry and Molecular Genetics, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - Kamaljeet Singh
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI, USA
| | - Romi Gupta
- Department of Biochemistry and Molecular Genetics, The University of Alabama at Birmingham, Birmingham, AL, USA.
- O'Neal Comprehensive Cancer Center at The University of Alabama at Birmingham, Birmingham, AL, USA.
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Ozaki M, Kageyama K, Kimura K, Eguchi S, Yamamoto A, Tanaka R, Nota T, Yonezawa H, Nishiofuku H, Sakai Y, Tani N, Jogo A, Terai M, Sato T, Ishizawa T, Miki Y. A rat-based preclinical platform facilitating transcatheter hepatic arterial infusion in immunodeficient rats with liver xenografts of patient-derived pancreatic ductal adenocarcinoma. Sci Rep 2024; 14:10529. [PMID: 38719893 PMCID: PMC11079078 DOI: 10.1038/s41598-024-61142-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Accepted: 05/02/2024] [Indexed: 05/12/2024] Open
Abstract
Liver metastases from pancreatic ductal adenocarcinoma (PDAC) are highly fatal. A rat-based patient-derived tumor xenograft (PDX) model is available for transcatheter therapy. This study aimed to create an immunodeficient rat model with liver xenografts of patient-derived primary PDAC and evaluate efficacy of hepatic arterial infusion chemotherapy with cisplatin in this model. Three patient-derived PDACs were transplanted into the livers of 21 rats each (totally, 63 rats), randomly assigned into hepatic arterial infusion, systemic venous infusion, and control groups (n = 7 each) four weeks post-implantation. Computed tomography evaluated tumor volumes before and four weeks after treatment. Post-euthanasia, resected tumor specimens underwent histopathological examination. A liver-implanted PDAC PDX rat model was established in all 63 rats, with first CT identifying all tumors. Four weeks post-treatment, arterial infusion groups exhibited significantly smaller tumor volumes than controls for all three tumors on second CT. Xenograft tumors histologically maintained adenocarcinoma features compared to original patient tumors. Ki67 expression was significantly lower in arterial infusion groups than in the other two for the three tumors, indicating reduced tumor growth in PDX rats. A liver-implanted PDAC PDX rat model was established as a rat-based preclinical platform. Arterial cisplatin infusion chemotherapy represents a potential therapy for PDAC liver metastasis.
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Affiliation(s)
- Masanori Ozaki
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, 1-4-3, Asahimachi, Abenoku, Osaka, 5458585, Japan
| | - Ken Kageyama
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, 1-4-3, Asahimachi, Abenoku, Osaka, 5458585, Japan.
| | - Kenjiro Kimura
- Department of Hepato-Biliary-Pancreatic Surgery, Graduate School of Medicine, Osaka Metropolitan University, 1-4-3, Asahimachi, Abenoku, Osaka, 5458585, Japan
| | - Shinpei Eguchi
- Department of Hepato-Biliary-Pancreatic Surgery, Graduate School of Medicine, Osaka Metropolitan University, 1-4-3, Asahimachi, Abenoku, Osaka, 5458585, Japan
| | - Akira Yamamoto
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, 1-4-3, Asahimachi, Abenoku, Osaka, 5458585, Japan
| | - Ryota Tanaka
- Department of Hepato-Biliary-Pancreatic Surgery, Graduate School of Medicine, Osaka Metropolitan University, 1-4-3, Asahimachi, Abenoku, Osaka, 5458585, Japan
| | - Takehito Nota
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, 1-4-3, Asahimachi, Abenoku, Osaka, 5458585, Japan
| | - Hiroki Yonezawa
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, 1-4-3, Asahimachi, Abenoku, Osaka, 5458585, Japan
| | - Hideyuki Nishiofuku
- Department of Diagnostic and Interventional Radiology, Nara Medical University, 840 Shijocho, Kashihara, Nara, 6348521, Japan
| | - Yuki Sakai
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, 1-4-3, Asahimachi, Abenoku, Osaka, 5458585, Japan
| | - Naoki Tani
- Department of Hepato-Biliary-Pancreatic Surgery, Graduate School of Medicine, Osaka Metropolitan University, 1-4-3, Asahimachi, Abenoku, Osaka, 5458585, Japan
| | - Atsushi Jogo
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, 1-4-3, Asahimachi, Abenoku, Osaka, 5458585, Japan
| | - Mizue Terai
- Department of Medical Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, 1015 Walnut Street, 1024 Curtis Building, Philadelphia, PA, 19107, USA
| | - Takami Sato
- Department of Medical Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, 1015 Walnut Street, 1024 Curtis Building, Philadelphia, PA, 19107, USA
| | - Takeaki Ishizawa
- Department of Hepato-Biliary-Pancreatic Surgery, Graduate School of Medicine, Osaka Metropolitan University, 1-4-3, Asahimachi, Abenoku, Osaka, 5458585, Japan
| | - Yukio Miki
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, 1-4-3, Asahimachi, Abenoku, Osaka, 5458585, Japan
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3
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Qi L, Baxter P, Kogiso M, Zhang H, Braun FK, Lindsay H, Zhao S, Xiao S, Abdallah AS, Suarez M, Huang Z, Teo WY, Yu L, Zhao X, Liu Z, Huang Y, Su JM, Man TK, Lau CC, Perlaky L, Du Y, Li XN. Direct Implantation of Patient Brain Tumor Cells into Matching Locations in Mouse Brains for Patient-Derived Orthotopic Xenograft Model Development. Cancers (Basel) 2024; 16:1716. [PMID: 38730671 PMCID: PMC11083000 DOI: 10.3390/cancers16091716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2024] [Revised: 04/11/2024] [Accepted: 04/23/2024] [Indexed: 05/13/2024] Open
Abstract
Background: Despite multimodality therapies, the prognosis of patients with malignant brain tumors remains extremely poor. One of the major obstacles that hinders development of effective therapies is the limited availability of clinically relevant and biologically accurate (CRBA) mouse models. Methods: We have developed a freehand surgical technique that allows for rapid and safe injection of fresh human brain tumor specimens directly into the matching locations (cerebrum, cerebellum, or brainstem) in the brains of SCID mice. Results: Using this technique, we successfully developed 188 PDOX models from 408 brain tumor patient samples (both high-and low-grade) with a success rate of 72.3% in high-grade glioma, 64.2% in medulloblastoma, 50% in ATRT, 33.8% in ependymoma, and 11.6% in low-grade gliomas. Detailed characterization confirmed their replication of the histopathological and genetic abnormalities of the original patient tumors. Conclusions: The protocol is easy to follow, without a sterotactic frame, in order to generate large cohorts of tumor-bearing mice to meet the needs of biological studies and preclinical drug testing.
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Affiliation(s)
- Lin Qi
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, School of Medicine, Sun Yat-sen University, Shenzhen 510080, China;
- Texas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA; (P.B.); (M.K.); (H.Z.); (F.K.B.); (H.L.); (S.Z.); (W.Y.T.); (L.Y.); (X.Z.); (Z.L.); (Y.H.); (J.M.S.); (T.-K.M.); (C.C.L.); (L.P.)
- Laboratory of Molecular Neuro-Oncology, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA
- Ann & Robert H. Lurie Children’s Hospital of Chicago, Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA; (S.X.); (A.S.A.); (M.S.); (Z.H.)
| | - Patricia Baxter
- Texas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA; (P.B.); (M.K.); (H.Z.); (F.K.B.); (H.L.); (S.Z.); (W.Y.T.); (L.Y.); (X.Z.); (Z.L.); (Y.H.); (J.M.S.); (T.-K.M.); (C.C.L.); (L.P.)
- Laboratory of Molecular Neuro-Oncology, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA
| | - Mari Kogiso
- Texas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA; (P.B.); (M.K.); (H.Z.); (F.K.B.); (H.L.); (S.Z.); (W.Y.T.); (L.Y.); (X.Z.); (Z.L.); (Y.H.); (J.M.S.); (T.-K.M.); (C.C.L.); (L.P.)
- Laboratory of Molecular Neuro-Oncology, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA
| | - Huiyuan Zhang
- Texas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA; (P.B.); (M.K.); (H.Z.); (F.K.B.); (H.L.); (S.Z.); (W.Y.T.); (L.Y.); (X.Z.); (Z.L.); (Y.H.); (J.M.S.); (T.-K.M.); (C.C.L.); (L.P.)
- Laboratory of Molecular Neuro-Oncology, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA
| | - Frank K. Braun
- Texas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA; (P.B.); (M.K.); (H.Z.); (F.K.B.); (H.L.); (S.Z.); (W.Y.T.); (L.Y.); (X.Z.); (Z.L.); (Y.H.); (J.M.S.); (T.-K.M.); (C.C.L.); (L.P.)
- Laboratory of Molecular Neuro-Oncology, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA
| | - Holly Lindsay
- Texas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA; (P.B.); (M.K.); (H.Z.); (F.K.B.); (H.L.); (S.Z.); (W.Y.T.); (L.Y.); (X.Z.); (Z.L.); (Y.H.); (J.M.S.); (T.-K.M.); (C.C.L.); (L.P.)
- Laboratory of Molecular Neuro-Oncology, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA
| | - Sibo Zhao
- Texas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA; (P.B.); (M.K.); (H.Z.); (F.K.B.); (H.L.); (S.Z.); (W.Y.T.); (L.Y.); (X.Z.); (Z.L.); (Y.H.); (J.M.S.); (T.-K.M.); (C.C.L.); (L.P.)
- Laboratory of Molecular Neuro-Oncology, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA
| | - Sophie Xiao
- Ann & Robert H. Lurie Children’s Hospital of Chicago, Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA; (S.X.); (A.S.A.); (M.S.); (Z.H.)
| | - Aalaa Sanad Abdallah
- Ann & Robert H. Lurie Children’s Hospital of Chicago, Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA; (S.X.); (A.S.A.); (M.S.); (Z.H.)
| | - Milagros Suarez
- Ann & Robert H. Lurie Children’s Hospital of Chicago, Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA; (S.X.); (A.S.A.); (M.S.); (Z.H.)
| | - Zilu Huang
- Ann & Robert H. Lurie Children’s Hospital of Chicago, Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA; (S.X.); (A.S.A.); (M.S.); (Z.H.)
| | - Wan Yee Teo
- Texas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA; (P.B.); (M.K.); (H.Z.); (F.K.B.); (H.L.); (S.Z.); (W.Y.T.); (L.Y.); (X.Z.); (Z.L.); (Y.H.); (J.M.S.); (T.-K.M.); (C.C.L.); (L.P.)
- The Laboratory of Pediatric Brain Tumor Research Office, SingHealth Duke-NUS Academic Medical Center, Singapore 169856, Singapore
| | - Litian Yu
- Texas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA; (P.B.); (M.K.); (H.Z.); (F.K.B.); (H.L.); (S.Z.); (W.Y.T.); (L.Y.); (X.Z.); (Z.L.); (Y.H.); (J.M.S.); (T.-K.M.); (C.C.L.); (L.P.)
- Laboratory of Molecular Neuro-Oncology, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA
| | - Xiumei Zhao
- Texas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA; (P.B.); (M.K.); (H.Z.); (F.K.B.); (H.L.); (S.Z.); (W.Y.T.); (L.Y.); (X.Z.); (Z.L.); (Y.H.); (J.M.S.); (T.-K.M.); (C.C.L.); (L.P.)
- Laboratory of Molecular Neuro-Oncology, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA
| | - Zhigang Liu
- Texas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA; (P.B.); (M.K.); (H.Z.); (F.K.B.); (H.L.); (S.Z.); (W.Y.T.); (L.Y.); (X.Z.); (Z.L.); (Y.H.); (J.M.S.); (T.-K.M.); (C.C.L.); (L.P.)
- Laboratory of Molecular Neuro-Oncology, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA
| | - Yulun Huang
- Texas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA; (P.B.); (M.K.); (H.Z.); (F.K.B.); (H.L.); (S.Z.); (W.Y.T.); (L.Y.); (X.Z.); (Z.L.); (Y.H.); (J.M.S.); (T.-K.M.); (C.C.L.); (L.P.)
- Laboratory of Molecular Neuro-Oncology, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jack M. Su
- Texas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA; (P.B.); (M.K.); (H.Z.); (F.K.B.); (H.L.); (S.Z.); (W.Y.T.); (L.Y.); (X.Z.); (Z.L.); (Y.H.); (J.M.S.); (T.-K.M.); (C.C.L.); (L.P.)
| | - Tsz-Kwong Man
- Texas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA; (P.B.); (M.K.); (H.Z.); (F.K.B.); (H.L.); (S.Z.); (W.Y.T.); (L.Y.); (X.Z.); (Z.L.); (Y.H.); (J.M.S.); (T.-K.M.); (C.C.L.); (L.P.)
| | - Ching C. Lau
- Texas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA; (P.B.); (M.K.); (H.Z.); (F.K.B.); (H.L.); (S.Z.); (W.Y.T.); (L.Y.); (X.Z.); (Z.L.); (Y.H.); (J.M.S.); (T.-K.M.); (C.C.L.); (L.P.)
| | - Laszlo Perlaky
- Texas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA; (P.B.); (M.K.); (H.Z.); (F.K.B.); (H.L.); (S.Z.); (W.Y.T.); (L.Y.); (X.Z.); (Z.L.); (Y.H.); (J.M.S.); (T.-K.M.); (C.C.L.); (L.P.)
| | - Yuchen Du
- Texas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA; (P.B.); (M.K.); (H.Z.); (F.K.B.); (H.L.); (S.Z.); (W.Y.T.); (L.Y.); (X.Z.); (Z.L.); (Y.H.); (J.M.S.); (T.-K.M.); (C.C.L.); (L.P.)
- Laboratory of Molecular Neuro-Oncology, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA
- Ann & Robert H. Lurie Children’s Hospital of Chicago, Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA; (S.X.); (A.S.A.); (M.S.); (Z.H.)
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Chicago, IL 60611, USA
| | - Xiao-Nan Li
- Texas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA; (P.B.); (M.K.); (H.Z.); (F.K.B.); (H.L.); (S.Z.); (W.Y.T.); (L.Y.); (X.Z.); (Z.L.); (Y.H.); (J.M.S.); (T.-K.M.); (C.C.L.); (L.P.)
- Laboratory of Molecular Neuro-Oncology, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030, USA
- Ann & Robert H. Lurie Children’s Hospital of Chicago, Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA; (S.X.); (A.S.A.); (M.S.); (Z.H.)
- The Laboratory of Pediatric Brain Tumor Research Office, SingHealth Duke-NUS Academic Medical Center, Singapore 169856, Singapore
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Hu J, Liu K, Ghosh C, Khaket TP, Shih H, Kebebew E. Anaplastic thyroid cancer spheroids as preclinical models to test therapeutics. J Exp Clin Cancer Res 2024; 43:85. [PMID: 38500204 PMCID: PMC10949686 DOI: 10.1186/s13046-024-03009-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 03/10/2024] [Indexed: 03/20/2024] Open
Abstract
Anaplastic thyroid cancer (ATC) is the most aggressive thyroid cancer. Despite advances in tissue culture techniques, a robust model for ATC spheroid culture is yet to be developed. In this study, we created an efficient and cost-effective 3D tumor spheroids culture system from human ATC cells and existing cell lines that better mimic patient tumors and that can enhance our understanding of in vivo treatment response. We found that patient-derived ATC cells and cell lines can readily form spheroids in culture with a unique morphology, size, and cytoskeletal organization. We observed both cohesive (dense and solid structures) and discohesive (irregularly shaped structures) spheroids within the same culture condition across different cell lines. BRAFWT ATC spheroids grew in a cohesive pattern, while BRAFV600E-mutant ATC spheroids had a discohesive organization. In the patient-derived BRAFV600E-mutant ATC spheroids, we observed both growth patterns, but mostly the discohesive type. Histologically, ATC spheroids had a similar morphology to the patient's tumor through H&E staining and proliferation marker staining. Moreover, RNA sequencing analysis revealed that the gene expression profile of tumor cells derived from the spheroids closely matched parental patient tumor-derived cells in comparison to monolayer cultures. In addition, treatment response to combined BRAF and MEK inhibition in BRAFV600E-mutant ATC spheroids exhibited a similar sensitivity to the patient clinical response. Our study provides a robust and novel ex vivo spheroid model system that can be used in both established ATC cell lines and patient-derived tumor samples to better understand the biology of ATC and to test therapeutics.
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Affiliation(s)
- Jiangnan Hu
- Department of Surgery and Stanford Cancer Institute, Stanford University, Stanford, CA, USA.
| | - Kaili Liu
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, USA
| | - Chandrayee Ghosh
- Department of Surgery and Stanford Cancer Institute, Stanford University, Stanford, CA, USA
| | - Tejinder Pal Khaket
- Department of Surgery and Stanford Cancer Institute, Stanford University, Stanford, CA, USA
| | - Helen Shih
- Department of Surgery and Stanford Cancer Institute, Stanford University, Stanford, CA, USA
| | - Electron Kebebew
- Department of Surgery and Stanford Cancer Institute, Stanford University, Stanford, CA, USA
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5
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Qu S, Xu R, Yi G, Li Z, Zhang H, Qi S, Huang G. Patient-derived organoids in human cancer: a platform for fundamental research and precision medicine. MOLECULAR BIOMEDICINE 2024; 5:6. [PMID: 38342791 PMCID: PMC10859360 DOI: 10.1186/s43556-023-00165-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Accepted: 12/08/2023] [Indexed: 02/13/2024] Open
Abstract
Cancer is associated with a high degree of heterogeneity, encompassing both inter- and intra-tumor heterogeneity, along with considerable variability in clinical response to common treatments across patients. Conventional models for tumor research, such as in vitro cell cultures and in vivo animal models, demonstrate significant limitations that fall short of satisfying the research requisites. Patient-derived tumor organoids, which recapitulate the structures, specific functions, molecular characteristics, genomics alterations and expression profiles of primary tumors. They have been efficaciously implemented in illness portrayal, mechanism exploration, high-throughput drug screening and assessment, discovery of innovative therapeutic targets and potential compounds, and customized treatment regimen for cancer patients. In contrast to conventional models, tumor organoids offer an intuitive, dependable, and efficient in vitro research model by conserving the phenotypic, genetic diversity, and mutational attributes of the originating tumor. Nevertheless, the organoid technology also confronts the bottlenecks and challenges, such as how to comprehensively reflect intra-tumor heterogeneity, tumor microenvironment, tumor angiogenesis, reduce research costs, and establish standardized construction processes while retaining reliability. This review extensively examines the use of tumor organoid techniques in fundamental research and precision medicine. It emphasizes the importance of patient-derived tumor organoid biobanks for drug development, screening, safety evaluation, and personalized medicine. Additionally, it evaluates the application of organoid technology as an experimental tumor model to better understand the molecular mechanisms of tumor. The intent of this review is to explicate the significance of tumor organoids in cancer research and to present new avenues for the future of tumor research.
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Affiliation(s)
- Shanqiang Qu
- Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou Dadao Bei Street 1838, Guangzhou, 510515, Guangdong, China
- The Laboratory for Precision Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China
- Nanfang Glioma Center, Guangzhou, 510515, Guangdong, China
- Institute of Brain disease, Nanfang Hospital, Southern Medical University, Guangzhou Dadao Bei Street 1838, Guangzhou, 510515, Guangdong, China
| | - Rongyang Xu
- The Laboratory for Precision Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China
- The First Clinical Medical College of Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Guozhong Yi
- Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou Dadao Bei Street 1838, Guangzhou, 510515, Guangdong, China
- Nanfang Glioma Center, Guangzhou, 510515, Guangdong, China
- Institute of Brain disease, Nanfang Hospital, Southern Medical University, Guangzhou Dadao Bei Street 1838, Guangzhou, 510515, Guangdong, China
| | - Zhiyong Li
- Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou Dadao Bei Street 1838, Guangzhou, 510515, Guangdong, China
- Nanfang Glioma Center, Guangzhou, 510515, Guangdong, China
- Institute of Brain disease, Nanfang Hospital, Southern Medical University, Guangzhou Dadao Bei Street 1838, Guangzhou, 510515, Guangdong, China
| | - Huayang Zhang
- Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou Dadao Bei Street 1838, Guangzhou, 510515, Guangdong, China
- The Laboratory for Precision Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Songtao Qi
- Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou Dadao Bei Street 1838, Guangzhou, 510515, Guangdong, China.
- The Laboratory for Precision Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China.
- Nanfang Glioma Center, Guangzhou, 510515, Guangdong, China.
- Institute of Brain disease, Nanfang Hospital, Southern Medical University, Guangzhou Dadao Bei Street 1838, Guangzhou, 510515, Guangdong, China.
| | - Guanglong Huang
- Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou Dadao Bei Street 1838, Guangzhou, 510515, Guangdong, China.
- The Laboratory for Precision Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China.
- Nanfang Glioma Center, Guangzhou, 510515, Guangdong, China.
- Institute of Brain disease, Nanfang Hospital, Southern Medical University, Guangzhou Dadao Bei Street 1838, Guangzhou, 510515, Guangdong, China.
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Choi D, Gonzalez‐Suarez AM, Dumbrava MG, Medlyn M, de Hoyos‐Vega JM, Cichocki F, Miller JS, Ding L, Zhu M, Stybayeva G, Gaspar‐Maia A, Billadeau DD, Ma WW, Revzin A. Microfluidic Organoid Cultures Derived from Pancreatic Cancer Biopsies for Personalized Testing of Chemotherapy and Immunotherapy. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2303088. [PMID: 38018486 PMCID: PMC10837378 DOI: 10.1002/advs.202303088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Revised: 10/17/2023] [Indexed: 11/30/2023]
Abstract
Patient-derived cancer organoids (PDOs) hold considerable promise for personalizing therapy selection and improving patient outcomes. However, it is challenging to generate PDOs in sufficient numbers to test therapies in standard culture platforms. This challenge is particularly acute for pancreatic ductal adenocarcinoma (PDAC) where most patients are diagnosed at an advanced stage with non-resectable tumors and where patient tissue is in the form of needle biopsies. Here the development and characterization of microfluidic devices for testing therapies using a limited amount of tissue or PDOs available from PDAC biopsies is described. It is demonstrated that microfluidic PDOs are phenotypically and genotypically similar to the gold-standard Matrigel organoids with the advantages of 1) spheroid uniformity, 2) minimal cell number requirement, and 3) not relying on Matrigel. The utility of microfluidic PDOs is proven by testing PDO responses to several chemotherapies, including an inhibitor of glycogen synthase kinase (GSKI). In addition, microfluidic organoid cultures are used to test effectiveness of immunotherapy comprised of NK cells in combination with a novel biologic. In summary, our microfluidic device offers considerable benefits for personalizing oncology based on cancer biopsies and may, in the future, be developed into a companion diagnostic for chemotherapy or immunotherapy treatments.
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Affiliation(s)
- Daheui Choi
- Department of Physiology and Biomedical EngineeringMayo ClinicRochesterMN55905USA
| | | | - Mihai G. Dumbrava
- Division of Experimental PathologyMayo ClinicRochesterMN55905USA
- Center for Individualized MedicineEpigenomics programMayo ClinicRochesterMN55905USA
| | - Michael Medlyn
- Division of Oncology ResearchCollege of MedicineMayo ClinicRochesterMN55905USA
| | | | - Frank Cichocki
- Department of MedicineUniversity of MinnesotaMinneapolisMN55455USA
| | | | - Li Ding
- Division of Oncology ResearchCollege of MedicineMayo ClinicRochesterMN55905USA
| | - Mojun Zhu
- Division of Medical OncologyMayo ClinicRochesterMN55905USA
| | - Gulnaz Stybayeva
- Department of Physiology and Biomedical EngineeringMayo ClinicRochesterMN55905USA
| | - Alexandre Gaspar‐Maia
- Division of Experimental PathologyMayo ClinicRochesterMN55905USA
- Center for Individualized MedicineEpigenomics programMayo ClinicRochesterMN55905USA
| | - Daniel D. Billadeau
- Division of Oncology ResearchCollege of MedicineMayo ClinicRochesterMN55905USA
| | - Wen Wee Ma
- Division of Medical OncologyMayo ClinicRochesterMN55905USA
| | - Alexander Revzin
- Department of Physiology and Biomedical EngineeringMayo ClinicRochesterMN55905USA
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7
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Aslani S, Saad MI. Patient-Derived Xenograft Models in Cancer Research: Methodology, Applications, and Future Prospects. Methods Mol Biol 2024; 2806:9-18. [PMID: 38676792 DOI: 10.1007/978-1-0716-3858-3_2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/29/2024]
Abstract
Patient-derived xenografts (PDXs) have emerged as a pivotal tool in translational cancer research, addressing limitations of traditional methods and facilitating improved therapeutic interventions. These models involve engrafting human primary malignant cells or tissues into immunodeficient mice, allowing for the investigation of cancer mechanobiology, validation of therapeutic targets, and preclinical assessment of treatment strategies. This chapter provides an overview of PDXs methodology and their applications in both basic cancer research and preclinical studies. Despite current limitations, ongoing advancements in humanized xenochimeric models and autologous immune cell engraftment hold promise for enhancing PDX model accuracy and relevance. As PDX models continue to refine and extend their applications, they are poised to play a pivotal role in shaping the future of translational cancer research.
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Affiliation(s)
- Saeed Aslani
- Centre for Innate Immunity and Infectious Diseases, Hudson Institute of Medical Research, Clayton, VIC, Australia
- Department of Molecular and Translational Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC, Australia
| | - Mohamed I Saad
- Centre for Innate Immunity and Infectious Diseases, Hudson Institute of Medical Research, Clayton, VIC, Australia.
- Department of Molecular and Translational Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC, Australia.
- South Australian immunoGENomics Cancer Institute (SAiGENCI), University of Adelaide, Adelaide, SA, Australia.
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8
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Liu Z, Dong S, Liu M, Liu Y, Ye Z, Zeng J, Yao M. Experimental models for cancer brain metastasis. CANCER PATHOGENESIS AND THERAPY 2024; 2:15-23. [PMID: 38328712 PMCID: PMC10846332 DOI: 10.1016/j.cpt.2023.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Revised: 10/17/2023] [Accepted: 10/25/2023] [Indexed: 02/09/2024]
Abstract
Brain metastases are a leading cause of cancer-related mortality. However, progress in their treatment has been limited over the past decade, due to an incomplete understanding of the underlying biological mechanisms. Employing accurate in vitro and in vivo models to recapitulate the complexities of brain metastasis offers the most promising approach to unravel the intricate cellular and physiological processes involved. Here, we present a comprehensive review of the currently accessible models for studying brain metastasis. We introduce a diverse array of in vitro and in vivo models, including cultured cells using the Transwell system, organoids, microfluidic models, syngeneic models, xenograft models, and genetically engineered models. We have also provided a concise summary of the merits and limitations inherent to each model while identifying the optimal contexts for their effective utilization. This review serves as a comprehensive resource, aiding researchers in making well-informed decisions regarding model selection that align with specific research questions.
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Affiliation(s)
- Zihao Liu
- Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease, Guangzhou, Guangdong 510182, China
| | - Shanshan Dong
- Department of Medical Genetics and Cell Biology, GMU-GIBH Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, Guangdong 511436, China
| | - Mengjie Liu
- Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease, Guangzhou, Guangdong 510182, China
| | - Yuqiang Liu
- Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease, Guangzhou, Guangdong 510182, China
| | - Zhiming Ye
- Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease, Guangzhou, Guangdong 510182, China
| | - Jianhao Zeng
- Department of Microbiology, Immunology, and Cancer Biology, University of Virginia Health System, Charlottesville, VA 22908, USA
| | - Maojin Yao
- Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease, Guangzhou, Guangdong 510182, China
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9
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Qin J, Zhang C, Zhao Y, Tan D, Wu P, Shui X, Qin W, Ge X, Shi C. Small Mitochondria-Targeting Fluorophore with Multifunctional Therapeutic Activities against Prostate Cancer via the HIF1α/OATPs Pathway. Mol Pharm 2023; 20:6226-6236. [PMID: 37955533 DOI: 10.1021/acs.molpharmaceut.3c00621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2023]
Abstract
Prostate cancer (PCa) is considered to be the most prevalent malignancy in males worldwide. Abiraterone is a 17α-hydroxylase/C17, 20-lyase (CYP17) inhibitor that has been approved for use in patients with prostate cancer. However, several negative aspects, such as drug resistance, toxicity, and lack of real-time monitoring of treatment responses, could appear with long-term use. Therefore, the development of anticancer agents with specific targeting to avoid side effects is imperative. Here, we used MHI-148, a type of heptamethine cyanine (HC) near-infrared fluorescence dye (NIRF), as a prototype structure to synthesize two theranostic agents, Abi-DZ-1 and Abi-783. The new compound Abi-DZ-1 retained the excellent photophysical characteristics and NIRF imaging property of MHI-148, and it could preferentially accumulate in prostate cancer cells but not in normal prostate epithelial cells via the HIF1α/organic anion-transporting polypeptides axis. NIRF imaging using Abi-DZ-1 selectively identified tumors in mice bearing PCa xenografts. Moreover, Abi-DZ-1 treatment significantly retarded the tumor growth in both a cell-derived xenograft model and a patient-derived tumor xenograft model. This finding demonstrated that Abi-DZ-1 may hold promise as a potential multifunctional theranostic agent for future tumor-targeted imaging and precision therapy. Constructing theranostic agents using the NIRF dye platform holds great promise in accurate therapy and intraoperative navigation.
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Affiliation(s)
- Jing Qin
- Division of Cancer Biology, Laboratory Animal Center, Fourth Military Medical University, Xi'an, Shaanxi 710032, China
| | - Caiqin Zhang
- Division of Cancer Biology, Laboratory Animal Center, Fourth Military Medical University, Xi'an, Shaanxi 710032, China
| | - Yong Zhao
- Division of Cancer Biology, Laboratory Animal Center, Fourth Military Medical University, Xi'an, Shaanxi 710032, China
| | - Dengxu Tan
- Department of Urology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710069, China
| | - Pengpeng Wu
- Division of Cancer Biology, Laboratory Animal Center, Fourth Military Medical University, Xi'an, Shaanxi 710032, China
| | - Xue Shui
- Division of Cancer Biology, Laboratory Animal Center, Fourth Military Medical University, Xi'an, Shaanxi 710032, China
| | - Weijun Qin
- Department of Urology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710069, China
| | - Xu Ge
- Division of Cancer Biology, Laboratory Animal Center, Fourth Military Medical University, Xi'an, Shaanxi 710032, China
| | - Changhong Shi
- Division of Cancer Biology, Laboratory Animal Center, Fourth Military Medical University, Xi'an, Shaanxi 710032, China
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10
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Zheng H, Li M, Wu L, Liu W, Liu Y, Gao J, Lu Z. Progress in the application of hydrogels in immunotherapy of gastrointestinal tumors. Drug Deliv 2023; 30:2161670. [PMID: 36587630 PMCID: PMC9809389 DOI: 10.1080/10717544.2022.2161670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Gastrointestinal tumors are the most common cancers with the highest morbidity and mortality worldwide. Surgery accompanied by chemotherapy, radiotherapy and targeted therapy remains the first option for gastrointestinal tumors. However, poor specificity for tumor cells of these postoperative treatments often leads to severe side effects and poor prognosis. Tumor immunotherapy, including checkpoint blockade and tumor vaccines, has developed rapidly in recent years, showing good curative effects and minimal side effects in the treatment of gastrointestinal tumors. National Comprehensive Cancer Network guidelines recommend tumor immunotherapy as part of the treatment of gastrointestinal tumors. However, the heterogeneity of tumor cells, complicacy of the tumor microenvironment and poor tumor immunogenicity hamper the effectiveness of tumor immunotherapy. Hydrogels, defined as three-dimensional, hydrophilic, and water-insoluble polymeric networks, could significantly improve the overall response rate of immunotherapy due to their superior drug loading efficacy, controlled release and drug codelivery ability. In this article, we briefly describe the research progress made in recent years on hydrogel delivery systems in immunotherapy for gastrointestinal tumors and discuss the potential future application prospects and challenges to provide a reference for the clinical application of hydrogels in tumor immunotherapy.
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Affiliation(s)
- Hao Zheng
- Department of General Surgery, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China
| | - Meng Li
- Department of Dermatology, Shanghai Ninth People’s Hospital, Shanghai Jiaotong University, Shanghai, China
| | - Lili Wu
- Changhai Clinical Research Unit, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China
| | - Wenshang Liu
- Department of Dermatology, Shanghai Ninth People’s Hospital, Shanghai Jiaotong University, Shanghai, China
| | - Yu Liu
- Department of Gastroenterology, Jinling Hospital, Medical School of Nanjing University, Jiangsu, China
| | - Jie Gao
- Changhai Clinical Research Unit, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China,Jie Gao Changhai Clinical Research Unit, Shanghai Changhai Hospital, Naval Medical University, Shanghai200433, China
| | - Zhengmao Lu
- Department of General Surgery, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China,CONTACT Zhengmao Lu Department of General Surgery, Shanghai Changhai Hospital, Naval Medical University, Shanghai200433, China
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11
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Huang H, Pan Y, Huang J, Zhang C, Liao Y, Du Q, Qin S, Chen Y, Tan H, Chen M, Xu M, Xia M, Liu Y, Li J, Liu T, Zou Q, Zhou Y, Yuan L, Wang W, Liang Y, Pan CY, Liu J, Yao S. Patient-derived organoids as personalized avatars and a potential immunotherapy model in cervical cancer. iScience 2023; 26:108198. [PMID: 38026204 PMCID: PMC10679865 DOI: 10.1016/j.isci.2023.108198] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 05/05/2023] [Accepted: 10/10/2023] [Indexed: 12/01/2023] Open
Abstract
Cervical cancer remains a significant health issue in developing countries. However, finding a preclinical model that accurately reproduces tumor characteristics is challenging. Therefore, we established a patient-derived organoids (PDOs) biobank containing 67 cases of heterogeneous cervical cancer that mimic the histopathological and genomic characteristics of parental tumors. The in vitro response of the organoids indicated their ability to capture the radiological heterogeneity of the patients. To model individual responses to adoptive T cell therapy (ACT), we expanded tumor-infiltrating lymphocytes (TILs) ex vivo and co-cultured them with paired organoids. The PDOs-TILs co-culture system demonstrates clear responses that correspond to established immunotherapy efficiency markers like the proportion of CTLs. This study supports the potential of the PDOs platform to guide treatment in prospective interventional trials in cervical cancer.
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Affiliation(s)
- Hua Huang
- Department of Obstetrics and Gynecology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Yuwen Pan
- Department of Obstetrics and Gynecology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Jiaming Huang
- Department of Obstetrics and Gynecology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Chunyu Zhang
- Department of Obstetrics and Gynecology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Yuandong Liao
- Department of Obstetrics and Gynecology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Qiqiao Du
- Department of Obstetrics and Gynecology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Shuhang Qin
- Department of Obstetrics and Gynecology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Yili Chen
- Department of Obstetrics and Gynecology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Hao Tan
- Department of Obstetrics and Gynecology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Ming Chen
- Department of Obstetrics and Gynecology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Manman Xu
- Department of Obstetrics and Gynecology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Meng Xia
- Department of Obstetrics and Gynecology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Yunyun Liu
- Sun Yat-Sen Memorial Hospital of Sun Yat-sen University, Guangzhou 510120, China
| | - Jie Li
- Department of Obstetrics and Gynecology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Tianyu Liu
- Department of Obstetrics and Gynecology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Qiaojian Zou
- Department of Obstetrics and Gynecology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Yijia Zhou
- Department of Obstetrics and Gynecology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Li Yuan
- Department of Obstetrics and Gynecology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Wei Wang
- Department of Obstetrics and Gynecology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Yanchun Liang
- Department of Obstetrics and Gynecology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Chao yun Pan
- Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510275, China
| | - Junxiu Liu
- Department of Obstetrics and Gynecology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Shuzhong Yao
- Department of Obstetrics and Gynecology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
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12
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Oda Y, Niimi K, Yoshida K, Tamauchi S, Yokoi A, Yasui Y, Nishiko Y, Shibata M, Shimizu Y, Yoshihara M, Ikeda Y, Yoshikawa N, Nishino K, Yamamoto E, Kajiyama H. Establishment and characterization of a non-gestational choriocarcinoma patient-derived xenograft model. BMC Cancer 2023; 23:1103. [PMID: 37957624 PMCID: PMC10642054 DOI: 10.1186/s12885-023-11626-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 11/09/2023] [Indexed: 11/15/2023] Open
Abstract
BACKGROUND Non-gestational choriocarcinoma (NGC) is a rare subtype of malignant germ cell tumour and there is no consensus on its treatment. The lack of suitable preclinical models for NGC is a challenge in drug discovery research. Patient-derived xenograft (PDX) models recapitulate the tumour microenvironment of the original cancer tissue. Therefore, they have received considerable attention for studies on rare cancer. Here, we aimed to establish a PDX model from a patient with recurrent NGC. METHODS Fresh NGC tumour tissue was immediately transplanted into a severely immune-deficient mouse (NOD.Cg-Prkdcscid1l2rgtm1Wjl/SzJ) and maintained for more than three in vivo passages. Subsequently, we evaluated the molecular characteristics of the PDX model using immunohistochemistry, polymerase chain reaction, and RNA sequencing. Moreover, the PDX tumours were transplanted into BALB/c nude mice, and we evaluated their sensitivity for cisplatin and methotrexate. RESULTS The PDX tumour maintained the morphological features of NGC. Moreover, Immunohistochemistry revealed that the human chorionic gonadotropin, cytokeratin 7, and EpCAM expression levels were similar to those in the primary tumour. Furthermore, serum human chorionic gonadotropin levels were elevated in both the primary tumour and the PDX models. Additionally, using PCR analysis with species-specific primers, we confirmed that the PDX tumour contained human genes and was derived from human tissue. Moreover, the gene expression profile of the NGC was compared with that of epithelial ovarian cancer samples and cell lines, and 568 dysregulated genes in the NGC were extracted. The expression of the dysregulated genes in PDX was significantly correlated with that in the primary tumour (R2 = 0.873, P < 0.001). Finally, we demonstrated that the PDX tumour was sensitive to cisplatin and methotrexate; therefore, its clinical response to the agents was similar to that of the primary tumour. CONCLUSIONS We successfully established a PDX model of NGC, to the best of our knowledge, for the first time. The established PDX retained the molecular and transcriptome characteristics of the primary tumour and can be used to predict drug effects. It may facilitate further research and the development of novel therapeutic agents for NGC.
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Affiliation(s)
- Yukari Oda
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Tsuruma- cho 65, Showa-ku, Nagoya, 466-8550, Japan
| | - Kaoru Niimi
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Tsuruma- cho 65, Showa-ku, Nagoya, 466-8550, Japan.
| | - Kosuke Yoshida
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Tsuruma- cho 65, Showa-ku, Nagoya, 466-8550, Japan
| | - Satoshi Tamauchi
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Tsuruma- cho 65, Showa-ku, Nagoya, 466-8550, Japan
| | - Akira Yokoi
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Tsuruma- cho 65, Showa-ku, Nagoya, 466-8550, Japan
- Institute for Advanced Research, Nagoya University, Tsuruma-cho 65, Showa-ku, Nagoya, Japan
| | - Yuko Yasui
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Tsuruma- cho 65, Showa-ku, Nagoya, 466-8550, Japan
| | - Yuki Nishiko
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Tsuruma- cho 65, Showa-ku, Nagoya, 466-8550, Japan
| | - Mayu Shibata
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Tsuruma- cho 65, Showa-ku, Nagoya, 466-8550, Japan
| | - Yusuke Shimizu
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Tsuruma- cho 65, Showa-ku, Nagoya, 466-8550, Japan
| | - Masato Yoshihara
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Tsuruma- cho 65, Showa-ku, Nagoya, 466-8550, Japan
| | - Yoshiki Ikeda
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Tsuruma- cho 65, Showa-ku, Nagoya, 466-8550, Japan
| | - Nobuhisa Yoshikawa
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Tsuruma- cho 65, Showa-ku, Nagoya, 466-8550, Japan
| | - Kimihiro Nishino
- Department of Healthcare Administration, Nagoya University Graduate School of Medicine, Tsuruma- cho 65, Showa-ku, Nagoya, Japan
| | - Eiko Yamamoto
- Department of Healthcare Administration, Nagoya University Graduate School of Medicine, Tsuruma- cho 65, Showa-ku, Nagoya, Japan
| | - Hiroaki Kajiyama
- Department of Obstetrics and Gynaecology, Nagoya University Graduate School of Medicine, Tsuruma- cho 65, Showa-ku, Nagoya, 466-8550, Japan
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13
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Tzeng YDT, Hsiao JH, Tseng LM, Hou MF, Li CJ. Breast cancer organoids derived from patients: A platform for tailored drug screening. Biochem Pharmacol 2023; 217:115803. [PMID: 37709150 DOI: 10.1016/j.bcp.2023.115803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 09/08/2023] [Accepted: 09/11/2023] [Indexed: 09/16/2023]
Abstract
Breast cancer stands as the most prevalent and heterogeneous malignancy affecting women globally, posing a substantial health concern. Enhanced comprehension of tumor pathology and the development of novel therapeutics are pivotal for advancing breast cancer treatment. Contemporary breast cancer investigation heavily leans on in vivo models and conventional cell culture techniques. Nonetheless, these approaches often encounter high failure rates in clinical trials due to species disparities and tissue structure variations. To address this, three-dimensional cultivation of organoids, resembling organ-like structures, has emerged as a promising alternative. Organoids represent innovative in vitro models that mirror in vivo tissue microenvironments. They retain the original tumor's diversity and facilitate the expansion of tumor samples from diverse origins, facilitating the representation of varying tumor stages. Optimized breast cancer organoid models, under precise culture conditions, offer benefits including convenient sample acquisition, abbreviated cultivation durations, and genetic stability. These attributes ensure a faithful replication of in vivo traits of breast cancer cells. As intricate cellular entities boasting spatial arrangements, breast cancer organoid models harbor substantial potential in precision medicine, organ transplantation, modeling intricate diseases, gene therapy, and drug innovation. This review delivers an overview of organoid culture techniques and outlines future prospects for organoid modeling.
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Affiliation(s)
- Yen-Dun Tony Tzeng
- Department of Surgery, Kaohsiung Veterans General Hospital, Kaohsiung 813, Taiwan; Institute of Biomedical Sciences, National Sun Yat-sen University, Kaohsiung 804, Taiwan
| | - Jui-Hu Hsiao
- Department of Surgery, Kaohsiung Municipal Minsheng Hospital, Kaohsiung, Taiwan
| | - Ling-Ming Tseng
- School of Medicine, National Yang-Ming University, Taipei 112, Taiwan; Comprehensive Breast Health Center, Taipei Veterans General Hospital, Taipei 112, Taiwan.
| | - Ming-Feng Hou
- Division of Breast Surgery, Department of Surgery, Center for Cancer Research, Kaohsiung Medical University Chung-Ho Memorial Hospital, Kaohsiung 807, Taiwan.
| | - Chia-Jung Li
- Department of Obstetrics and Gynecology, Kaohsiung Veterans General Hospital, Kaohsiung 813, Taiwan; Institute of BioPharmaceutical Sciences, National Sun Yat-sen University, Kaohsiung 804, Taiwan.
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14
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Thomas PB, Alinezhad S, Joshi A, Sweeney K, Tse BWC, Tevz G, McPherson S, Nelson CC, Williams ED, Vela I. Introduction of Androgen Receptor Targeting shRNA Inhibits Tumor Growth in Patient-Derived Prostate Cancer Xenografts. Curr Oncol 2023; 30:9437-9447. [PMID: 37999103 PMCID: PMC10670201 DOI: 10.3390/curroncol30110683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 10/16/2023] [Accepted: 10/21/2023] [Indexed: 11/25/2023] Open
Abstract
Patient-derived xenograft (PDX) models have been established as important preclinical cancer models, overcoming some of the limitations associated with the use of cancer cell lines. The utility of prostate cancer PDX models has been limited by an inability to genetically manipulate them in vivo and difficulties sustaining PDX-derived cancer cells in culture. Viable, short-term propagation of PDX models would allow in vitro transfection with traceable reporters or manipulation of gene expression relevant to different studies within the prostate cancer field. Here, we report an organoid culture system that supports the growth of prostate cancer PDX cells in vitro and permits genetic manipulation, substantially increasing the scope to use PDXs to study the pathobiology of prostate cancer and define potential therapeutic targets. We have established a short-term PDX-derived in vitro cell culture system which enables genetic manipulation of prostate cancer PDXs LuCaP35 and BM18. Genetically manipulated cells could be re-established as viable xenografts when re-implanted subcutaneously in immunocompromised mice and were able to be serially passaged. Tumor growth of the androgen-dependent LuCaP35 PDX was significantly inhibited following depletion of the androgen receptor (AR) in vivo. Taken together, this system provides a method to generate novel preclinical models to assess the impact of controlled genetic perturbations and allows for targeting specific genes of interest in the complex biological setting of solid tumors.
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Affiliation(s)
- Patrick B. Thomas
- School of Biomedical Sciences at Translational Research Institute (TRI), Faculty of Health, Queensland University of Technology (QUT), Brisbane, QLD 4102, Australia; (P.B.T.)
- Australian Prostate Cancer Research Centre—Queensland, Brisbane, QLD 4102, Australia
- Queensland Bladder Cancer Initiative (QBCI), Brisbane, QLD 4102, Australia
| | - Saeid Alinezhad
- School of Biomedical Sciences at Translational Research Institute (TRI), Faculty of Health, Queensland University of Technology (QUT), Brisbane, QLD 4102, Australia; (P.B.T.)
- Australian Prostate Cancer Research Centre—Queensland, Brisbane, QLD 4102, Australia
| | - Andre Joshi
- School of Biomedical Sciences at Translational Research Institute (TRI), Faculty of Health, Queensland University of Technology (QUT), Brisbane, QLD 4102, Australia; (P.B.T.)
- Australian Prostate Cancer Research Centre—Queensland, Brisbane, QLD 4102, Australia
- Queensland Bladder Cancer Initiative (QBCI), Brisbane, QLD 4102, Australia
- Department of Urology, Princess Alexandra Hospital, Brisbane, QLD 4102, Australia
| | - Katrina Sweeney
- School of Biomedical Sciences at Translational Research Institute (TRI), Faculty of Health, Queensland University of Technology (QUT), Brisbane, QLD 4102, Australia; (P.B.T.)
- Australian Prostate Cancer Research Centre—Queensland, Brisbane, QLD 4102, Australia
| | - Brian W. C. Tse
- Preclinical Imaging Facility, Translational Research Institute (TRI), Brisbane, QLD 4102, Australia;
| | - Gregor Tevz
- School of Biomedical Sciences at Translational Research Institute (TRI), Faculty of Health, Queensland University of Technology (QUT), Brisbane, QLD 4102, Australia; (P.B.T.)
- Australian Prostate Cancer Research Centre—Queensland, Brisbane, QLD 4102, Australia
| | - Stephen McPherson
- School of Biomedical Sciences at Translational Research Institute (TRI), Faculty of Health, Queensland University of Technology (QUT), Brisbane, QLD 4102, Australia; (P.B.T.)
- Australian Prostate Cancer Research Centre—Queensland, Brisbane, QLD 4102, Australia
| | - Colleen C. Nelson
- School of Biomedical Sciences at Translational Research Institute (TRI), Faculty of Health, Queensland University of Technology (QUT), Brisbane, QLD 4102, Australia; (P.B.T.)
- Australian Prostate Cancer Research Centre—Queensland, Brisbane, QLD 4102, Australia
- Centre for Genomics and Personalised Health, Queensland University of Technology (QUT), Brisbane, QLD 4000, Australia
| | - Elizabeth D. Williams
- School of Biomedical Sciences at Translational Research Institute (TRI), Faculty of Health, Queensland University of Technology (QUT), Brisbane, QLD 4102, Australia; (P.B.T.)
- Australian Prostate Cancer Research Centre—Queensland, Brisbane, QLD 4102, Australia
- Queensland Bladder Cancer Initiative (QBCI), Brisbane, QLD 4102, Australia
- Centre for Genomics and Personalised Health, Queensland University of Technology (QUT), Brisbane, QLD 4000, Australia
| | - Ian Vela
- School of Biomedical Sciences at Translational Research Institute (TRI), Faculty of Health, Queensland University of Technology (QUT), Brisbane, QLD 4102, Australia; (P.B.T.)
- Australian Prostate Cancer Research Centre—Queensland, Brisbane, QLD 4102, Australia
- Queensland Bladder Cancer Initiative (QBCI), Brisbane, QLD 4102, Australia
- Department of Urology, Princess Alexandra Hospital, Brisbane, QLD 4102, Australia
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15
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Steers GJ, O’Leary BR, Du J, Wagner BA, Carroll RS, Domann FE, Goswami PC, Buettner GR, Cullen JJ. Pharmacologic Ascorbate and DNMT Inhibitors Increase DUOX Expression and Peroxide-Mediated Toxicity in Pancreatic Cancer. Antioxidants (Basel) 2023; 12:1683. [PMID: 37759986 PMCID: PMC10525653 DOI: 10.3390/antiox12091683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 08/23/2023] [Accepted: 08/25/2023] [Indexed: 09/29/2023] Open
Abstract
Recent studies have demonstrated an important role for vitamin C in the epigenetic regulation of cancer-related genes via DNA demethylation by the ten-eleven translocation (TET) methylcytosine dioxygenase enzymes. DNA methyltransferase (DNMT) reverses this, increasing DNA methylation and decreasing gene expression. Dual oxidase (DUOX) enzymes produce hydrogen peroxide (H2O2) in normal pancreatic tissue but are silenced in pancreatic cancer (PDAC). Treatment of PDAC with pharmacologic ascorbate (P-AscH-, intravenous, high dose vitamin C) increases DUOX expression. We hypothesized that inhibiting DNMT may act synergistically with P-AscH- to further increase DUOX expression and cytotoxicity of PDAC. PDAC cells demonstrated dose-dependent increases in DUOX mRNA and protein expression when treated with DNMT inhibitors. PDAC cells treated with P-AscH- + DNMT inhibitors demonstrated increased DUOX expression, increased intracellular oxidation, and increased cytotoxicity in vitro and in vivo compared to either treatment alone. These findings suggest a potential therapeutic, epigenetic mechanism to treat PDAC.
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Affiliation(s)
- Garett J. Steers
- Free Radical and Radiation Biology Division, Department of Radiation Oncology, Iowa City, IA 52242, USA; (G.J.S.); (B.R.O.); (J.D.); (B.A.W.); (R.S.C.); (F.E.D.); (P.C.G.); (G.R.B.)
- The Department of Surgery, The University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA
| | - Brianne R. O’Leary
- Free Radical and Radiation Biology Division, Department of Radiation Oncology, Iowa City, IA 52242, USA; (G.J.S.); (B.R.O.); (J.D.); (B.A.W.); (R.S.C.); (F.E.D.); (P.C.G.); (G.R.B.)
- The Department of Surgery, The University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA
| | - Juan Du
- Free Radical and Radiation Biology Division, Department of Radiation Oncology, Iowa City, IA 52242, USA; (G.J.S.); (B.R.O.); (J.D.); (B.A.W.); (R.S.C.); (F.E.D.); (P.C.G.); (G.R.B.)
- The Department of Surgery, The University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA
| | - Brett A. Wagner
- Free Radical and Radiation Biology Division, Department of Radiation Oncology, Iowa City, IA 52242, USA; (G.J.S.); (B.R.O.); (J.D.); (B.A.W.); (R.S.C.); (F.E.D.); (P.C.G.); (G.R.B.)
| | - Rory S. Carroll
- Free Radical and Radiation Biology Division, Department of Radiation Oncology, Iowa City, IA 52242, USA; (G.J.S.); (B.R.O.); (J.D.); (B.A.W.); (R.S.C.); (F.E.D.); (P.C.G.); (G.R.B.)
- The Department of Surgery, The University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA
| | - Frederick E. Domann
- Free Radical and Radiation Biology Division, Department of Radiation Oncology, Iowa City, IA 52242, USA; (G.J.S.); (B.R.O.); (J.D.); (B.A.W.); (R.S.C.); (F.E.D.); (P.C.G.); (G.R.B.)
| | - Prabhat C. Goswami
- Free Radical and Radiation Biology Division, Department of Radiation Oncology, Iowa City, IA 52242, USA; (G.J.S.); (B.R.O.); (J.D.); (B.A.W.); (R.S.C.); (F.E.D.); (P.C.G.); (G.R.B.)
| | - Garry R. Buettner
- Free Radical and Radiation Biology Division, Department of Radiation Oncology, Iowa City, IA 52242, USA; (G.J.S.); (B.R.O.); (J.D.); (B.A.W.); (R.S.C.); (F.E.D.); (P.C.G.); (G.R.B.)
| | - Joseph J. Cullen
- Free Radical and Radiation Biology Division, Department of Radiation Oncology, Iowa City, IA 52242, USA; (G.J.S.); (B.R.O.); (J.D.); (B.A.W.); (R.S.C.); (F.E.D.); (P.C.G.); (G.R.B.)
- The Department of Surgery, The University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA
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16
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Marrocco I, Giri S, Simoni-Nieves A, Gupta N, Rudnitsky A, Haga Y, Romaniello D, Sekar A, Zerbib M, Oren R, Lindzen M, Fard D, Tsutsumi Y, Lauriola M, Tamagnone L, Yarden Y. L858R emerges as a potential biomarker predicting response of lung cancer models to anti-EGFR antibodies: Comparison of osimertinib vs. cetuximab. Cell Rep Med 2023; 4:101142. [PMID: 37557179 PMCID: PMC10439256 DOI: 10.1016/j.xcrm.2023.101142] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 04/21/2023] [Accepted: 07/14/2023] [Indexed: 08/11/2023]
Abstract
EGFR-specific tyrosine kinase inhibitors (TKIs), especially osimertinib, have changed lung cancer therapy, but secondary mutations confer drug resistance. Because other EGFR mutations promote dimerization-independent active conformations but L858R strictly depends on receptor dimerization, we herein evaluate the therapeutic potential of dimerization-inhibitory monoclonal antibodies (mAbs), including cetuximab. This mAb reduces viability of cells expressing L858R-EGFR and blocks the FOXM1-aurora survival pathway, but other mutants show no responses. Unlike TKI-treated patient-derived xenografts, which relapse post osimertinib treatment, cetuximab completely prevents relapses of L858R+ tumors. We report that osimertinib's inferiority associates with induction of mutagenic reactive oxygen species, whereas cetuximab's superiority is due to downregulation of adaptive survival pathways (e.g., HER2) and avoidance of mutation-prone mechanisms that engage AXL, RAD18, and the proliferating cell nuclear antigen. These results identify L858R as a predictive biomarker, which may pave the way for relapse-free mAb monotherapy relevant to a large fraction of patients with lung cancer.
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Affiliation(s)
- Ilaria Marrocco
- Department of Immunology and Regenerative Biology, Weizmann Institute of Science, Rehovot 76100, Israel; Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Suvendu Giri
- Department of Immunology and Regenerative Biology, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Arturo Simoni-Nieves
- Department of Immunology and Regenerative Biology, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Nitin Gupta
- Department of Immunology and Regenerative Biology, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Anna Rudnitsky
- Department of Immunology and Regenerative Biology, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Yuya Haga
- Graduate School of Pharmaceutical Sciences, Osaka University, Osaka 565-0871, Japan
| | - Donatella Romaniello
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, 40126 Bologna, Italy
| | - Arunachalam Sekar
- Department of Immunology and Regenerative Biology, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Mirie Zerbib
- Department of Veterinary Resources, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Roni Oren
- Department of Veterinary Resources, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Moshit Lindzen
- Department of Immunology and Regenerative Biology, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Damon Fard
- Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Yasuo Tsutsumi
- Graduate School of Pharmaceutical Sciences, Osaka University, Osaka 565-0871, Japan; Global Center for Medical Engineering and Informatics, Osaka University, Osaka 565-0871, Japan; Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Osaka 565-0871, Japan
| | - Mattia Lauriola
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, 40126 Bologna, Italy
| | - Luca Tamagnone
- Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, 00168 Rome, Italy; Fondazione Policlinico Gemelli - IRCCS, 00168 Rome, Italy
| | - Yosef Yarden
- Department of Immunology and Regenerative Biology, Weizmann Institute of Science, Rehovot 76100, Israel.
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Fernández-Santiago C, López-López R, Piñeiro R. Models to study CTCs and CTC culture methods. INTERNATIONAL REVIEW OF CELL AND MOLECULAR BIOLOGY 2023; 381:57-98. [PMID: 37739484 DOI: 10.1016/bs.ircmb.2023.07.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/24/2023]
Abstract
The vast majority of cancer-related deaths are due to the presence of disseminated disease. Understanding the metastatic process is key to achieving a reduction in cancer mortality. Particularly, there is a need to understand the molecular mechanisms that drive cancer metastasis, which will allow the identification of curative treatments for metastatic cancers. Liquid biopsies have arisen as a minimally invasive approach to gain insights into the biology of metastasis. Circulating tumour cells (CTCs), shed to the circulation from the primary tumour or metastatic lesions, are a key component of liquid biopsy. As metastatic precursors, CTCs hold the potential to unravel the mechanisms involved in metastasis formation as well as new therapeutic strategies for treating metastatic disease. However, the complex biology of CTCs together with their low frequency in circulation are factors hampering an in-depth mechanistic investigation of the metastatic process. To overcome these problems, CTC-derived models, including CTC-derived xenograft (CDX) and CTC-derived ex vivo cultures, in combination with more traditional in vivo models of metastasis, have emerged as powerful tools to investigate the biological features of CTCs facilitating cancer metastasis and uncover new therapeutic opportunities. In this chapter, we provide an up to date view of the diverse models used in different cancers to study the biology of CTCs, and of the methods developed for CTC culture and expansion, in vivo and ex vivo. We also report some of the main challenges and limitations that these models are facing.
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Affiliation(s)
- Cristóbal Fernández-Santiago
- Roche-Chus Joint Unit, Translational Medical Oncology Group (Oncomet), Health Research Institute of Santiago de Compostela, Santiago de Compostela, A Coruña, Spain
| | - Rafael López-López
- Roche-Chus Joint Unit, Translational Medical Oncology Group (Oncomet), Health Research Institute of Santiago de Compostela, Santiago de Compostela, A Coruña, Spain; University Clinical Hospital of Santiago de Compostela (CHUS/SERGAS), Santiago de Compostela, Spain; Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Madrid, Spain
| | - Roberto Piñeiro
- Roche-Chus Joint Unit, Translational Medical Oncology Group (Oncomet), Health Research Institute of Santiago de Compostela, Santiago de Compostela, A Coruña, Spain; Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Madrid, Spain.
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18
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Chiorazzi M, Martinek J, Krasnick B, Zheng Y, Robbins KJ, Qu R, Kaufmann G, Skidmore Z, Juric M, Henze LA, Brösecke F, Adonyi A, Zhao J, Shan L, Sefik E, Mudd J, Bi Y, Goedegebuure SP, Griffith M, Griffith O, Oyedeji A, Fertuzinhos S, Garcia-Milian R, Boffa D, Detterbeck F, Dhanasopon A, Blasberg J, Judson B, Gettinger S, Politi K, Kluger Y, Palucka K, Fields RC, Flavell RA. Autologous humanized PDX modeling for immuno-oncology recapitulates features of the human tumor microenvironment. J Immunother Cancer 2023; 11:e006921. [PMID: 37487666 PMCID: PMC10373695 DOI: 10.1136/jitc-2023-006921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/16/2023] [Indexed: 07/26/2023] Open
Abstract
BACKGROUND Interactions between immune and tumor cells are critical to determining cancer progression and response. In addition, preclinical prediction of immune-related drug efficacy is limited by interspecies differences between human and mouse, as well as inter-person germline and somatic variation. To address these gaps, we developed an autologous system that models the tumor microenvironment (TME) from individual patients with solid tumors. METHOD With patient-derived bone marrow hematopoietic stem and progenitor cells (HSPCs), we engrafted a patient's hematopoietic system in MISTRG6 mice, followed by transfer of patient-derived xenograft (PDX) tissue, providing a fully genetically matched model to recapitulate the individual's TME. We used this system to prospectively study tumor-immune interactions in patients with solid tumor. RESULTS Autologous PDX mice generated innate and adaptive immune populations; these cells populated the TME; and tumors from autologously engrafted mice grew larger than tumors from non-engrafted littermate controls. Single-cell transcriptomics revealed a prominent vascular endothelial growth factor A (VEGFA) signature in TME myeloid cells, and inhibition of human VEGF-A abrogated enhanced growth. CONCLUSIONS Humanization of the interleukin 6 locus in MISTRG6 mice enhances HSPC engraftment, making it feasible to model tumor-immune interactions in an autologous manner from a bedside bone marrow aspirate. The TME from these autologous tumors display hallmarks of the human TME including innate and adaptive immune activation and provide a platform for preclinical drug testing.
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Affiliation(s)
- Michael Chiorazzi
- Department of Internal Medicine, Section of Medical Oncology, Yale School of Medicine, New Haven, Connecticut, USA
- Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Jan Martinek
- Jackson Laboratory - Farmington, Farmington, Connecticut, USA
| | - Bradley Krasnick
- Alvin J Siteman Cancer Center, St Louis, Missouri, USA
- Department of Surgery, Washington University School of Medicine in Saint Louis, St Louis, Missouri, USA
| | - Yunjiang Zheng
- Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Keenan J Robbins
- Alvin J Siteman Cancer Center, St Louis, Missouri, USA
- Department of Surgery, Washington University School of Medicine in Saint Louis, St Louis, Missouri, USA
| | - Rihao Qu
- Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Gabriel Kaufmann
- Department of Internal Medicine, Section of Medical Oncology, Yale School of Medicine, New Haven, Connecticut, USA
- Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Zachary Skidmore
- Alvin J Siteman Cancer Center, St Louis, Missouri, USA
- Department of Surgery, Washington University School of Medicine in Saint Louis, St Louis, Missouri, USA
| | - Melani Juric
- Department of Internal Medicine, Section of Medical Oncology, Yale School of Medicine, New Haven, Connecticut, USA
- Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Laura A Henze
- Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Frederic Brösecke
- Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Adam Adonyi
- Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Jun Zhao
- Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Liang Shan
- Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Esen Sefik
- Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Jacqueline Mudd
- Alvin J Siteman Cancer Center, St Louis, Missouri, USA
- Department of Surgery, Washington University School of Medicine in Saint Louis, St Louis, Missouri, USA
| | - Ye Bi
- Alvin J Siteman Cancer Center, St Louis, Missouri, USA
- Department of Surgery, Washington University School of Medicine in Saint Louis, St Louis, Missouri, USA
| | - S Peter Goedegebuure
- Alvin J Siteman Cancer Center, St Louis, Missouri, USA
- Department of Surgery, Washington University School of Medicine in Saint Louis, St Louis, Missouri, USA
| | - Malachi Griffith
- Alvin J Siteman Cancer Center, St Louis, Missouri, USA
- Department of Surgery, Washington University School of Medicine in Saint Louis, St Louis, Missouri, USA
| | - Obi Griffith
- Alvin J Siteman Cancer Center, St Louis, Missouri, USA
- Department of Surgery, Washington University School of Medicine in Saint Louis, St Louis, Missouri, USA
| | - Abimbola Oyedeji
- Alvin J Siteman Cancer Center, St Louis, Missouri, USA
- Department of Surgery, Washington University School of Medicine in Saint Louis, St Louis, Missouri, USA
| | - Sofia Fertuzinhos
- Bioinformatics Support Program, Cushing/Whitney Medical Library, Yale School of Medicine, New Haven, Connecticut, USA
| | - Rolando Garcia-Milian
- Bioinformatics Support Program, Cushing/Whitney Medical Library, Yale School of Medicine, New Haven, Connecticut, USA
| | - Daniel Boffa
- Department of Surgery, Section of Thoracic Oncology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Frank Detterbeck
- Department of Surgery, Section of Thoracic Oncology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Andrew Dhanasopon
- Department of Surgery, Section of Thoracic Oncology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Justin Blasberg
- Department of Surgery, Section of Thoracic Oncology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Benjamin Judson
- Department of Surgery, Section of Otolaryngology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Scott Gettinger
- Department of Internal Medicine, Section of Medical Oncology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Katerina Politi
- Department of Internal Medicine, Section of Medical Oncology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Yuval Kluger
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut, USA
| | | | - Ryan C Fields
- Alvin J Siteman Cancer Center, St Louis, Missouri, USA
- Department of Surgery, Washington University School of Medicine in Saint Louis, St Louis, Missouri, USA
| | - Richard A Flavell
- Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA
- Howard Hughes Medical Institute, New York, New York, USA
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19
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Parodi M, Astigiano S, Carrega P, Pietra G, Vitale C, Damele L, Grottoli M, Guevara Lopez MDLL, Ferracini R, Bertolini G, Roato I, Vitale M, Orecchia P. Murine models to study human NK cells in human solid tumors. Front Immunol 2023; 14:1209237. [PMID: 37388731 PMCID: PMC10301748 DOI: 10.3389/fimmu.2023.1209237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 06/02/2023] [Indexed: 07/01/2023] Open
Abstract
Since the first studies, the mouse models have provided crucial support for the most important discoveries on NK cells, on their development, function, and circulation within normal and tumor tissues. Murine tumor models were initially set to study murine NK cells, then, ever more sophisticated human-in-mice models have been developed to investigate the behavior of human NK cells and minimize the interferences from the murine environment. This review presents an overview of the models that have been used along time to study NK cells, focusing on the most popular NOG and NSG models, which work as recipients for the preparation of human-in-mice tumor models, the study of transferred human NK cells, and the evaluation of various enhancers of human NK cell function, including cytokines and chimeric molecules. Finally, an overview of the next generation humanized mice is also provided along with a discussion on how traditional and innovative in-vivo and in-vitro approaches could be integrated to optimize effective pre-clinical studies.
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Affiliation(s)
- Monica Parodi
- Unità Operativa UO Patologia e Immunologia Sperimentale, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Simonetta Astigiano
- Animal Facility, IRCCS Ospedale Policlinico San Martino Genova, Genova, Italy
| | - Paolo Carrega
- Laboratory of Immunology and Biotherapy, Department of Human Pathology, University of Messina, Messina, Italy
| | - Gabriella Pietra
- Unità Operativa UO Patologia e Immunologia Sperimentale, IRCCS Ospedale Policlinico San Martino, Genova, Italy
- Dipartimento di Medicina Sperimentale, Università di Genova, Genova, Italy
| | - Chiara Vitale
- Unità Operativa UO Patologia e Immunologia Sperimentale, IRCCS Ospedale Policlinico San Martino, Genova, Italy
- Dipartimento di Medicina Sperimentale, Università di Genova, Genova, Italy
| | - Laura Damele
- Unità Operativa UO Patologia e Immunologia Sperimentale, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Melania Grottoli
- Dipartimento di Medicina Sperimentale, Università di Genova, Genova, Italy
| | | | - Riccardo Ferracini
- Department of Surgical Sciences, Bone and Dental Bioengineering Laboratory, C.I.R Dental School, University of Turin, Turin, Italy
- Department of Surgical Sciences (DISC), University of Genoa, Genoa, Italy
| | - Giulia Bertolini
- “Epigenomics and Biomarkers of Solid Tumors”, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Ilaria Roato
- Department of Surgical Sciences, Bone and Dental Bioengineering Laboratory, C.I.R Dental School, University of Turin, Turin, Italy
| | - Massimo Vitale
- Unità Operativa UO Patologia e Immunologia Sperimentale, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Paola Orecchia
- Unità Operativa UO Patologia e Immunologia Sperimentale, IRCCS Ospedale Policlinico San Martino, Genova, Italy
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Shi J, Li J, Li Z, Li Y, Xu L, Zhang Y. Prediction of pathological response grading for esophageal squamous carcinoma after neoadjuvant chemoradiotherapy based on MRI imaging using PDX. Front Oncol 2023; 13:1160815. [PMID: 37377911 PMCID: PMC10292012 DOI: 10.3389/fonc.2023.1160815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 05/23/2023] [Indexed: 06/29/2023] Open
Abstract
Introduction To confirm the efficacy of magnetic resonance-diffusion weighted imaging (MR-DWI) in esophageal squamous cell carcinoma (ESCC) early pathological response prediction and assessment to neoadjuvant chemoradiotherapy (nCRT) using patient-derived xenografts (PDXs). Methods PDX-bearing mice were randomly divided into two groups: the experimental group receiving cisplatin combined with radiotherapy, whereas the control group receiving normal saline. MRI scans were performed in treatment groups in the before, middle, and end of treatment. The correlations between tumor volumes, ADC values and tumor pathological response at different time nodes were explored. Then, expression of proliferation marker and apoptotic marker were detected using immunohistochemistry, and apoptosis rate was detected by TUNEL assay to further verify the results observed in the PDX models. Results The ADC values of the experimental group were significantly higher than the control group in the both middle and end stage of treatment (all P< 0.001), however, significant difference was only observed in tumor volume at the end stage of treatment (P< 0.001). Furthermore, the △ADCmid-pre in our study may able to identify tumors with or without pCR to nCRT at an early stage, due to these changes were prior to the changes of tumor volume after treatment. Finally, TUNEL results also showed that the apoptosis rate of the experiment groups increased the most in the middle stage of treatment, especially the groups with pCR, but the highest apoptosis rate occurred in the end of the treatment. Further, the two PDX models with pCR exhibited the highest levels of apoptotic marker (Bax), and lowest levels of proliferation marker (PCNA and Ki-67) in the both middle and end stage of the treatment. Conclusions ADC values could be used to determine the tumor's response to nCRT, especially in the middle stages of treatment and before the tumor tissue morphology changes, and further, the ADC values were consistent with the potential biomarkers reflecting histopathological changes. Therefore, we suggest that radiation oncologists could refer to the ADC values in the middle stages of treatment when predicting the tumor histopathological response to n CRT in patients with ESCC.
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Affiliation(s)
- Jingzhen Shi
- Department of Oncology, The Second Hospital of Tianjin Medical University, Tianjin, China
- School of Medicine, Shandong University, Jinan, China
| | - Jianbin Li
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Zhenxiang Li
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Yankang Li
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Liang Xu
- Department of Medical Imaging, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Yingjie Zhang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
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Laviana AA, Schiftan EG, Mashni JW, Large MC, Kaimakliotis HZ, Nolte DD, Turek JJ, An R, Morgan TA, Chang SS. Biodynamic prediction of neoadjuvant chemotherapy response: Results from a prospective multicenter study of predictive accuracy among muscle-invasive bladder cancer patients. Urol Oncol 2023; 41:295.e9-295.e17. [PMID: 36522279 DOI: 10.1016/j.urolonc.2022.11.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 11/08/2022] [Accepted: 11/22/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND Biodynamic signatures (temporal patterns of microscopic motion within a 3-dimensional tumor explant) offer phenomic biomarkers that are highly predictive for therapeutic response. OBJECTIVE By utilizing motility contrast tomography, which provides a simple, fast assessment of motion patterns in living tissue, we evaluated the predictive accuracy of a biodynamic drug response classifier in muscle-invasive bladder cancer (MIBC) patients undergoing neoadjuvant chemotherapy (NAC). DESIGN, SETTING, AND PARTICIPANTS One hundred five consecutive bladder cancer patients suspected of having MIBC were screened in a multi-institutional prospective observational study (NCT03739177) from July 2018 to June 2020, of whom, 30 completed NAC and radical cystectomy. INTERVENTION(S) Biodynamic signatures from treatment-naïve fresh bladder tumor specimens obtained after transurethral resection were measured in living tumor fragments challenged by standard-of-care cytotoxins. Patients received gemcitabine and cisplatin or dose-dense methotrexate, vinblastine, doxorubicin, and cisplatin per institutional guidelines and were followed through radical cystectomy. OUTCOMES MEASUREMENTS AND STATISTICAL ANALYSIS A 4-level classifier was developed to predict pathologic complete response (pCR) vs. incomplete response utilizing a one-left-out cross-validation protocol to minimize over-fitting. Area under the curve evaluated predictive utility. RESULTS Thirty percent (9 of 30) achieved pCR. Utilizing the 4-level classifier, biodynamically "favored" (scoring ≥ 3) and "strongly favored" (scoring 4) regimens accurately predicted pCR at rates of 66.7% (4 of 6 patients) and 100% (4 of 4 patients), respectively. Biodynamically "favored" scores predicted pCR with 88% sensitivity and 95% negative predictive value, P < 0.0001. Only 5.0% (1 of 20 patients) achieved pCR from regimens scoring 1 or 2, indicating poor to no response from NAC. Area under the receiver operating curve was 96% (95% Confidence Interval: 79%-99%, P < 0.0001). Future direction involves validating this model prospectively. PRINCIPAL CONCLUSIONS Biodynamic scoring accurately predicts response in MIBC patients receiving NAC and holds promise to substantially improve the scope of appropriate management intervention.
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Affiliation(s)
- Aaron A Laviana
- Department of Surgery and Perioperative Care, Dell Medical School at the University of Austin at Texas, Austin, TX.
| | | | - Joseph W Mashni
- Department of Urology, Banner MD Anderson Cancer Center, Gilbert, AZ
| | - Michael C Large
- Urology of Indiana, Community Health Network, Indianapolis, IN
| | | | | | | | - Ran An
- Animated Dynamics, Inc., Indianapolis, IN
| | | | - Sam S Chang
- Department of Urology, Vanderbilt University Medical Center, Nashville, TN
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Zou S, Ye J, Wei Y, Xu J. Characterization of 3D-Bioprinted In Vitro Lung Cancer Models Using RNA-Sequencing Techniques. Bioengineering (Basel) 2023; 10:667. [PMID: 37370598 DOI: 10.3390/bioengineering10060667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 05/21/2023] [Accepted: 05/25/2023] [Indexed: 06/29/2023] Open
Abstract
OBJECTIVE To construct an in vitro lung cancer model using 3D bioprinting and evaluate the feasibility of the model. Transcriptome sequencing was used to compare the differential genes and functions of 2D and 3D lung cancer cells. METHODS 1. A549 cells were mixed with sodium alginate/gelatine/fibrinogen as 3D-printed biological ink to construct a hydrogel scaffold for the in vitro model of lung cancer; 2. A hydrogel scaffold was printed using a extrusion 3D bioprinter; 3. The printed lung cancer model was evaluated in vitro; and 4. A549 cells cultured in 2D and 3D tumour models in vitro were collected, and RNA-seq conducted bioinformatics analysis. RESULTS 1. The in vitro lung cancer model printed using 3D-bioprinting technology was a porous microstructure model, suitable for the survival of A549 cells. Compared with the 2D cell-line model, the 3D model is closer to the fundamental human growth environment; 2. There was no significant difference in cell survival rate between the 2D and 3D groups; 3. In the cell proliferation rate measurement, it was found that the cells in the 2D group had a speedy growth rate in the first five days, but after five days, the growth rate slowed down. Cell proliferation showed a declining process after the ninth day of cell culture. However, cells in the 3D group showed a slow growth process at the beginning, and the growth rate reached a peak on the 12th day. Then, the growth rate showed a downward trend; and 4. RNA-seq compared A549 cells from 2D and 3D lung cancer models. A total of 3112 genes were differentially expressed, including 1189 up-regulated and 1923 down-regulated genes, with p-value ≤ 0.05 and |Log2Ratio| ≥ 1 as screening conditions. After functional enrichment analysis of differential genes, these differential genes affect the biological regulation of A549 cells, thus promoting lung cancer progression. CONCLUSION This study uses 3D-bioprinting technology to construct a tumour model of lung cancer that can grow sustainably in vitro. Three-dimensional bioprinting may provide a new research platform for studying the lung cancer TME mechanism and anticancer drug screening.
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Affiliation(s)
- Sheng Zou
- The Second Affiliated Hospital of Nanchang University, Nanchang 330030, China
| | - Jiayue Ye
- The Second Affiliated Hospital of Nanchang University, Nanchang 330030, China
| | - Yiping Wei
- The Second Affiliated Hospital of Nanchang University, Nanchang 330030, China
| | - Jianjun Xu
- The Second Affiliated Hospital of Nanchang University, Nanchang 330030, China
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Singhal SS, Garg R, Mohanty A, Garg P, Ramisetty SK, Mirzapoiazova T, Soldi R, Sharma S, Kulkarni P, Salgia R. Recent Advancement in Breast Cancer Research: Insights from Model Organisms-Mouse Models to Zebrafish. Cancers (Basel) 2023; 15:cancers15112961. [PMID: 37296923 DOI: 10.3390/cancers15112961] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 05/23/2023] [Accepted: 05/24/2023] [Indexed: 06/12/2023] Open
Abstract
Animal models have been utilized for decades to investigate the causes of human diseases and provide platforms for testing novel therapies. Indeed, breakthrough advances in genetically engineered mouse (GEM) models and xenograft transplantation technologies have dramatically benefited in elucidating the mechanisms underlying the pathogenesis of multiple diseases, including cancer. The currently available GEM models have been employed to assess specific genetic changes that underlay many features of carcinogenesis, including variations in tumor cell proliferation, apoptosis, invasion, metastasis, angiogenesis, and drug resistance. In addition, mice models render it easier to locate tumor biomarkers for the recognition, prognosis, and surveillance of cancer progression and recurrence. Furthermore, the patient-derived xenograft (PDX) model, which involves the direct surgical transfer of fresh human tumor samples to immunodeficient mice, has contributed significantly to advancing the field of drug discovery and therapeutics. Here, we provide a synopsis of mouse and zebrafish models used in cancer research as well as an interdisciplinary 'Team Medicine' approach that has not only accelerated our understanding of varied aspects of carcinogenesis but has also been instrumental in developing novel therapeutic strategies.
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Affiliation(s)
- Sharad S Singhal
- Department of Medical Oncology and Therapeutic Research, Beckman Research Institute, City of Hope Comprehensive Cancer Center and National Medical Center, Duarte, CA 91010, USA
| | - Rachana Garg
- Department of Surgery, Beckman Research Institute, City of Hope Comprehensive Cancer Center and National Medical Center, Duarte, CA 91010, USA
| | - Atish Mohanty
- Department of Medical Oncology and Therapeutic Research, Beckman Research Institute, City of Hope Comprehensive Cancer Center and National Medical Center, Duarte, CA 91010, USA
| | - Pankaj Garg
- Department of Chemistry, GLA University, Mathura 281406, Uttar Pradesh, India
| | - Sravani Keerthi Ramisetty
- Department of Medical Oncology and Therapeutic Research, Beckman Research Institute, City of Hope Comprehensive Cancer Center and National Medical Center, Duarte, CA 91010, USA
| | - Tamara Mirzapoiazova
- Department of Medical Oncology and Therapeutic Research, Beckman Research Institute, City of Hope Comprehensive Cancer Center and National Medical Center, Duarte, CA 91010, USA
| | - Raffaella Soldi
- Translational Genomics Research Institute, Phoenix, AZ 85338, USA
| | - Sunil Sharma
- Translational Genomics Research Institute, Phoenix, AZ 85338, USA
| | - Prakash Kulkarni
- Department of Medical Oncology and Therapeutic Research, Beckman Research Institute, City of Hope Comprehensive Cancer Center and National Medical Center, Duarte, CA 91010, USA
- Department of Systems Biology, Beckman Research Institute, City of Hope Comprehensive Cancer Center and National Medical Center, Duarte, CA 91010, USA
| | - Ravi Salgia
- Department of Medical Oncology and Therapeutic Research, Beckman Research Institute, City of Hope Comprehensive Cancer Center and National Medical Center, Duarte, CA 91010, USA
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Chu X, Wu M, Yang J, Fu Y, Wang X, Wang H, Xiao Y, Chen D, He J. Organoid models derived from patients with malignant phyllodes tumor of the breast. Breast Cancer Res Treat 2023:10.1007/s10549-023-06973-5. [PMID: 37204665 DOI: 10.1007/s10549-023-06973-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 05/03/2023] [Indexed: 05/20/2023]
Abstract
PURPOSE Phyllodes tumor of the breast is a kind of rare neoplasm, which accounts for less than 1% of all breast tumors. Malignant phyllodes tumor (MPT) is the highest risk subtype of phyllodes tumor, and is characterized by the tendency of local recurrence and distant metastasis. The prediction of prognosis and the individual therapy for MPT is still challenging. It's urgent to develop a new reliable in vitro preclinical model in order to understand this disease better and to explore appropriate anticancer drugs for individual patients. METHODS Two surgically resected MPT specimens were processed for organoid establishment. MPT organoids were subsequently subjected to H&E staining, immunohistochemical analysis and drug screening, respectively. RESULTS We successfully established two organoid lines from different patients with MPT. The MPT organoids can well retain the histological features and capture the marker expression in original tumor tissues, including p63, vimentin, Bcl-2, CD34, c-Kit, and Ki-67, even after a long-term culture. The dose titration tests of eight typical chemotherapeutic drugs (paclitaxel, docetaxel, vincristine, doxorubicin, cisplatin, gemcitabine, cyclophosphamide, ifosfamide) on the two MPT organoid lines showed patient-specific drug responses and varying IC50 values. Of all the drugs, doxorubicin and gemcitabine showed the best anti-tumor effect on the two organoid lines. CONCLUSION Organoids derived from MPT may be a novel preclinical model for testing personalized therapies for patients with MPT.
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Affiliation(s)
- Xinyu Chu
- Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, Weifang, 261000, Shandong, China
- Department of Breast and Thyroid Surgery, Peking University Shenzhen Hospital, Shenzhen, 518036, Guangdong, China
| | - Ming Wu
- Department of Breast and Thyroid Surgery, Peking University Shenzhen Hospital, Shenzhen, 518036, Guangdong, China
| | - Jianbo Yang
- Department of the Cancer Center, Fujian Medical University Union Hospital, Fuzhou, 350000, Fujian, China
- Department of Otolaryngology | The Immunotherapy Research Laboratory, University of Minnesota, Minneapolis, MN, 55421, USA
| | - Yang Fu
- Department of Breast and Thyroid Surgery, Peking University Shenzhen Hospital, Shenzhen, 518036, Guangdong, China
| | - Xuewei Wang
- Department of Breast and Thyroid Surgery, Peking University Shenzhen Hospital, Shenzhen, 518036, Guangdong, China
| | - Huan Wang
- Department of Breast and Thyroid Surgery, Peking University Shenzhen Hospital, Shenzhen, 518036, Guangdong, China
| | - Yang Xiao
- Department of Breast and Thyroid Surgery, Peking University Shenzhen Hospital, Shenzhen, 518036, Guangdong, China
| | - Dong Chen
- Department of Breast and Thyroid Surgery, Peking University Shenzhen Hospital, Shenzhen, 518036, Guangdong, China.
| | - Jinsong He
- Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, Weifang, 261000, Shandong, China.
- Department of Breast and Thyroid Surgery, Peking University Shenzhen Hospital, Shenzhen, 518036, Guangdong, China.
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Ding T, Yu Y, Pan X, Chen H. Establishment of humanized mice and its application progress in cancer immunotherapy. Immunotherapy 2023; 15:679-697. [PMID: 37096919 DOI: 10.2217/imt-2022-0148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2023] Open
Abstract
The current high prevalence of malignant tumors has attracted considerable attention, and treating advanced malignancies is becoming increasingly difficult. Although immunotherapy is a hopeful alternative, it is effective in only a few people. Thus, development of preclinical animal models is needed. Humanized xenotransplantation mouse models can help with selecting treatment protocols, evaluating curative effects and assessing prognosis. This review discusses the establishment of humanized mouse models and their application prospects in cancer immunotherapy to identify tailored therapies for individual patients.
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Affiliation(s)
- Tianlong Ding
- The Second Clinical Medical College, Lanzhou University, Lanzhou, 730030, PR China
- Department of Tumor Surgery, Lanzhou University Second Hospital, Lanzhou, 730030, PR China
| | - Yang Yu
- The Second Clinical Medical College, Lanzhou University, Lanzhou, 730030, PR China
| | - Xiaoyuan Pan
- Department of Vision Rehabilitation, Gansu Province Hospital Rehabilitation Center, Lanzhou, 730030, PR China
| | - Hao Chen
- Department of Tumor Surgery, Lanzhou University Second Hospital, Lanzhou, 730030, PR China
- Key Laboratory of Digestive System Tumors, Lanzhou University Second Hospital, Lanzhou, 730030, PR China
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26
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Liu Y, Wu W, Cai C, Zhang H, Shen H, Han Y. Patient-derived xenograft models in cancer therapy: technologies and applications. Signal Transduct Target Ther 2023; 8:160. [PMID: 37045827 PMCID: PMC10097874 DOI: 10.1038/s41392-023-01419-2] [Citation(s) in RCA: 47] [Impact Index Per Article: 47.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 03/21/2023] [Indexed: 04/14/2023] Open
Abstract
Patient-derived xenograft (PDX) models, in which tumor tissues from patients are implanted into immunocompromised or humanized mice, have shown superiority in recapitulating the characteristics of cancer, such as the spatial structure of cancer and the intratumor heterogeneity of cancer. Moreover, PDX models retain the genomic features of patients across different stages, subtypes, and diversified treatment backgrounds. Optimized PDX engraftment procedures and modern technologies such as multi-omics and deep learning have enabled a more comprehensive depiction of the PDX molecular landscape and boosted the utilization of PDX models. These irreplaceable advantages make PDX models an ideal choice in cancer treatment studies, such as preclinical trials of novel drugs, validating novel drug combinations, screening drug-sensitive patients, and exploring drug resistance mechanisms. In this review, we gave an overview of the history of PDX models and the process of PDX model establishment. Subsequently, the review presents the strengths and weaknesses of PDX models and highlights the integration of novel technologies in PDX model research. Finally, we delineated the broad application of PDX models in chemotherapy, targeted therapy, immunotherapy, and other novel therapies.
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Affiliation(s)
- Yihan Liu
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P.R. China
| | - Wantao Wu
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P.R. China
| | - Changjing Cai
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P.R. China
| | - Hao Zhang
- Department of Neurosurgery, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Hong Shen
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P.R. China.
| | - Ying Han
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P.R. China.
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Cao C, Lu X, Guo X, Zhao H, Gao Y. Patient-derived models: Promising tools for accelerating the clinical translation of breast cancer research findings. Exp Cell Res 2023; 425:113538. [PMID: 36871856 DOI: 10.1016/j.yexcr.2023.113538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 03/01/2023] [Accepted: 03/02/2023] [Indexed: 03/06/2023]
Abstract
Breast cancer has become the highest incidence of cancer in women. It was extensively and deeply studied by biologists and medical workers worldwide. However, the meaningful results in lab researches cannot be realized in clinical, and a part of new drugs in clinical experiments do not obtain as good results as the preclinical researches. It is urgently that promote a kind of breast cancer research models that can get study results closer to the physiological condition of the human body. Patient-derived models (PDMs) originating from clinical tumor, contain primary elements of tumor and maintain key clinical features of tumor. So they are promising research models to facilitate laboratory researches translate to clinical application, and predict the treatment outcome of patients. In this review, we summarize the establishment of PDMs of breast cancer, reviewed the application of PDMs in clinical translational researches and personalized precision medicine with breast cancer as an example, to improve the understanding of PDMs among researchers and clinician, facilitate them to use PDMs on a large scale of breast cancer researches and promote the clinical translation of laboratory research and new drug development.
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Affiliation(s)
- Changqing Cao
- Department of General Surgery, The Second Affiliated Hospital of Air Force Medical University, China; State Key Laboratory of Cancer Biology, Biotechnology Center, School of Pharmacy, The Fourth Military Medical University, China
| | - Xiyan Lu
- Department of Outpatient, The Second Affiliated Hospital of Air Force Medical University, China
| | - Xinyan Guo
- State Key Laboratory of Cancer Biology, Biotechnology Center, School of Pharmacy, The Fourth Military Medical University, China
| | - Huadong Zhao
- Department of General Surgery, The Second Affiliated Hospital of Air Force Medical University, China.
| | - Yuan Gao
- State Key Laboratory of Cancer Biology, Biotechnology Center, School of Pharmacy, The Fourth Military Medical University, China.
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28
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West J, Adler F, Gallaher J, Strobl M, Brady-Nicholls R, Brown J, Roberson-Tessi M, Kim E, Noble R, Viossat Y, Basanta D, Anderson ARA. A survey of open questions in adaptive therapy: Bridging mathematics and clinical translation. eLife 2023; 12:e84263. [PMID: 36952376 PMCID: PMC10036119 DOI: 10.7554/elife.84263] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 02/27/2023] [Indexed: 03/24/2023] Open
Abstract
Adaptive therapy is a dynamic cancer treatment protocol that updates (or 'adapts') treatment decisions in anticipation of evolving tumor dynamics. This broad term encompasses many possible dynamic treatment protocols of patient-specific dose modulation or dose timing. Adaptive therapy maintains high levels of tumor burden to benefit from the competitive suppression of treatment-sensitive subpopulations on treatment-resistant subpopulations. This evolution-based approach to cancer treatment has been integrated into several ongoing or planned clinical trials, including treatment of metastatic castrate resistant prostate cancer, ovarian cancer, and BRAF-mutant melanoma. In the previous few decades, experimental and clinical investigation of adaptive therapy has progressed synergistically with mathematical and computational modeling. In this work, we discuss 11 open questions in cancer adaptive therapy mathematical modeling. The questions are split into three sections: (1) integrating the appropriate components into mathematical models (2) design and validation of dosing protocols, and (3) challenges and opportunities in clinical translation.
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Affiliation(s)
- Jeffrey West
- Department of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center & Research InstituteTampaUnited States
| | - Fred Adler
- Department of Mathematics, University of UtahSalt Lake CityUnited States
- School of Biological Sciences, University of UtahSalt Lake CityUnited States
| | - Jill Gallaher
- Department of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center & Research InstituteTampaUnited States
| | - Maximilian Strobl
- Department of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center & Research InstituteTampaUnited States
| | - Renee Brady-Nicholls
- Department of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center & Research InstituteTampaUnited States
| | - Joel Brown
- Department of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center & Research InstituteTampaUnited States
| | - Mark Roberson-Tessi
- Department of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center & Research InstituteTampaUnited States
| | - Eunjung Kim
- Natural Product Informatics Research Center, Korea Institute of Science and TechnologyGangneungRepublic of Korea
| | - Robert Noble
- Department of Mathematics, University of LondonLondonUnited Kingdom
| | - Yannick Viossat
- Ceremade, Université Paris-Dauphine, Université Paris Sciences et LettresParisFrance
| | - David Basanta
- Department of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center & Research InstituteTampaUnited States
| | - Alexander RA Anderson
- Department of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center & Research InstituteTampaUnited States
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Zhang J, Hong Z, Lu W, Fang T, Ren Y, Yin S, Xuan Q, Li D, Xi JJ, Yao B. Assessment of Drug Susceptibility for Patient-Derived Tumor Models through Lactate Biosensing and Machine Learning. ACS Sens 2023; 8:803-810. [PMID: 36787531 DOI: 10.1021/acssensors.2c02381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
A patient-derived tumor model (PDM) is a practical tool to rapidly screen chemotherapeutics for individual patients. The evaluation method of cell viability directly determines the application of PDMs for drug susceptibility testing. As one of the metabolites of "glycosis", the lactate content was used to evaluate cell viability, but these assays were not specific for tumor cells. Based on the "Warburg effect", wherein tumor cells preferentially rely on "aerobic glycolysis" to produce lactate instead of pyruvate in "anaerobic glycolysis" of normal cells, we reported a gold lactate sensor (GLS) to estimate the cell viability of PDMs in drug susceptibility testing. It demonstrated high consistency between the GLS and commercial cell viability assay. Unlike either imaging or cell viability assay, the GLS characterizes the cell viability, enables dynamic monitoring, and distinguishes tumor cells from other cells. Moreover, machine learning (ML) was employed to perform a multi-index assessment for drug susceptibility of PDMs, which proved to be accurate and practical for clinical application. Therefore, the GLS provides an ideal drug susceptibility testing tool for individualized medicine.
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Affiliation(s)
- Jingfeng Zhang
- Department of Chemistry, Zhejiang University, Hangzhou 310058, China
| | - Zichen Hong
- Department of Chemistry, Zhejiang University, Hangzhou 310058, China
| | - Wei Lu
- GeneX (Zhejiang) Precision Medicine Co., Ltd., Hangzhou 311100, China
| | - Tianyuan Fang
- Department of Chemistry, Zhejiang University, Hangzhou 310058, China
| | - Yongan Ren
- Department of Chemistry, Zhejiang University, Hangzhou 310058, China
| | - Shenyi Yin
- College of Future Technology, Peking University, Beijing 100871, China
| | - Qijia Xuan
- Department of Oncology, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu 322000, China
| | - Dezhi Li
- Department of Oncology, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu 322000, China
| | - Jianzhong Jeff Xi
- College of Future Technology, Peking University, Beijing 100871, China
| | - Bo Yao
- Department of Chemistry, Zhejiang University, Hangzhou 310058, China
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30
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Bi Y, Li S, Tang H, Wang Q, Wang Q, Yang Y, Zhang X, Shu Z, Duan Z, Chen Y, Hong F. A novel xenograft model of human hepatocellular carcinoma in immunocompetent mice based on the microcarrier-6. Transpl Immunol 2023; 76:101738. [PMID: 36368468 DOI: 10.1016/j.trim.2022.101738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 08/25/2022] [Accepted: 11/05/2022] [Indexed: 11/11/2022]
Abstract
BACKGROUND Hepatocellular carcinoma (HCC) is one of the most common malignant tumors that threaten human health; thus, the establishment of an animal model with clinical features similar to human hepatocellular carcinoma is of important practical significance. METHODS Taking advantage of the novel microcarrier-6, human HCC cells were injected into immunocompetent mice to establish a novel human HCC patient-derived xenograft (PDX) model. Primary HCC cells were isolated from fresh hepatocellular carcinoma tissues, which were subsequently co-cultured with microcarrier-6 to construct a three-dimensional tumor cell culture model in vitro. The HCC-microcarrier complex was implanted into mice by subcutaneous inoculation, and the tumor formation time, tumor formation rate, and pathological manifestation were recorded. Changes of immune parameters in mice were detected by flow cytometry. RESULTS The success rate was 60% (6/10) in the establishment of hepatocellular carcinoma PDX mouse model, and the total tumor formation rate of the tumor-forming model is 90-100%. H&E staining and immunohistochemical experiments indicate that the model well retained the characteristics of the primary tumor. Interestingly, M2 macrophages in tumor-bearing mice increased significantly, and the levels of CD4+ T cells were significantly reduced. CONCLUSIONS Through the application of the microcarrier-6 in immunocompetent mice, we successfully established a novel human HCC PDX model, which can be used to better study and further elucidate the occurrence and pathogenic mechanism of HCC, improve the predictability of toxicity and drug sensitivity in HCC.
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Affiliation(s)
- Yanzhen Bi
- Department of Infectious Disease, Qingdao Municipal Hospital, Qingdao, Shandong, PR China
| | - Shanshan Li
- The Fourth Liver Disease Center, Beijing Youan Hospital, Capital Medical University, Beijing, PR China; Beijing Municipal Key Laboratory of Liver Failure and Artificial Liver Treatment Research, Beijing, PR China
| | - Huixin Tang
- The Fourth Liver Disease Center, Beijing Youan Hospital, Capital Medical University, Beijing, PR China; Beijing Municipal Key Laboratory of Liver Failure and Artificial Liver Treatment Research, Beijing, PR China
| | - Quanquan Wang
- Department of Neurology, Qilu Hospital of Shandong University (Qingdao), Qingdao, Shandong, PR China
| | - Quanyi Wang
- Institute of Liver Diseases, Affiliated Hospital of Jining Medical University, Shandong, PR China
| | - Yonghong Yang
- Institute of Liver Diseases, Affiliated Hospital of Jining Medical University, Shandong, PR China
| | - Xiaobei Zhang
- Institute of Liver Diseases, Affiliated Hospital of Jining Medical University, Shandong, PR China
| | - Zhenfeng Shu
- Shanghai Meifeng Biotechnology Co., Ltd, Shanghai, PR China
| | - Zhongping Duan
- The Fourth Liver Disease Center, Beijing Youan Hospital, Capital Medical University, Beijing, PR China; Beijing Municipal Key Laboratory of Liver Failure and Artificial Liver Treatment Research, Beijing, PR China
| | - Yu Chen
- The Fourth Liver Disease Center, Beijing Youan Hospital, Capital Medical University, Beijing, PR China; Beijing Municipal Key Laboratory of Liver Failure and Artificial Liver Treatment Research, Beijing, PR China.
| | - Feng Hong
- Institute of Liver Diseases, Affiliated Hospital of Jining Medical University, Shandong, PR China.
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Liu X, Xin Z, Wang K. Patient-derived xenograft model in colorectal cancer basic and translational research. Animal Model Exp Med 2023; 6:26-40. [PMID: 36543756 PMCID: PMC9986239 DOI: 10.1002/ame2.12299] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 11/22/2022] [Indexed: 12/24/2022] Open
Abstract
Colorectal cancer (CRC) is one of the most popular malignancies globally, with 930 000 deaths in 2020. The evaluation of CRC-related pathogenesis and the discovery of potential therapeutic targets will be meaningful and helpful for improving CRC treatment. With huge efforts made in past decades, the systematic treatment regimens have been applied to improve the prognosis of CRC patients. However, the sensitivity of CRC to chemotherapy and targeted therapy is different from person to person, which is an important cause of treatment failure. The emergence of patient-derived xenograft (PDX) models shows great potential to alleviate the straits. PDX models possess similar genetic and pathological characteristics as the features of primary tumors. Moreover, PDX has the ability to mimic the tumor microenvironment of the original tumor. Thus, the PDX model is an important tool to screen precise drugs for individualized treatment, seek predictive biomarkers for prognosis supervision, and evaluate the unknown mechanism in basic research. This paper reviews the recent advances in constructed methods and applications of the CRC PDX model, aiming to provide new knowledge for CRC basic research and therapeutics.
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Affiliation(s)
- Xiaofeng Liu
- Hepatopancreatobiliary Surgery Department I, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, China
| | - Zechang Xin
- Hepatopancreatobiliary Surgery Department I, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, China
| | - Kun Wang
- Hepatopancreatobiliary Surgery Department I, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, China
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Mondal P, Patel NS, Bailey K, Aravind S, Cartwright SB, Hollingsworth MA, Lazenby AJ, Carlson MA. Induction of pancreatic neoplasia in the KRAS/TP53 Oncopig. Dis Model Mech 2023; 16:286617. [PMID: 36579622 PMCID: PMC9884120 DOI: 10.1242/dmm.049699] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 12/13/2022] [Indexed: 12/30/2022] Open
Abstract
The 5-year survival of pancreatic cancer (PC) remains low. Murine models may not adequately mimic human PC and can be too small for medical device development. A large-animal PC model could address these issues. We induced and characterized pancreatic tumors in Oncopigs (transgenic swine containing KRASG12D and TP53R167H). The oncopigs underwent injection of adenovirus expressing Cre recombinase (AdCre) into one of the main pancreatic ducts. Resultant tumors were characterized by histology, cytokine expression, exome sequencing and transcriptome analysis. Ten of 14 Oncopigs (71%) had gross tumor within 3 weeks. At necropsy, all of these subjects had gastric outlet obstruction secondary to pancreatic tumor and phlegmon. Oncopigs with injections without Cre recombinase and wild-type pigs with AdCre injection did not show notable effect. Exome and transcriptome analysis of the porcine pancreatic tumors revealed similarity to the molecular signatures and pathways of human PC. Although further optimization and validation of this porcine PC model would be beneficial, it is anticipated that this model will be useful for focused research and development of diagnostic and therapeutic technologies for PC. This article has an associated First Person interview with the joint first authors of the paper.
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Affiliation(s)
- Pinaki Mondal
- Department of Surgery, University of Nebraska Medical Center, Omaha, NE 68198, USA,Department of Surgery and VA Research Service, Nebraska-Western Iowa Health Care System, Omaha, NE 68105, USA
| | - Neesha S. Patel
- Department of Surgery, University of Nebraska Medical Center, Omaha, NE 68198, USA,Department of Surgery and VA Research Service, Nebraska-Western Iowa Health Care System, Omaha, NE 68105, USA
| | - Katie Bailey
- Department of Surgery, University of Nebraska Medical Center, Omaha, NE 68198, USA,Department of Surgery and VA Research Service, Nebraska-Western Iowa Health Care System, Omaha, NE 68105, USA
| | - Shruthishree Aravind
- Department of Surgery, University of Nebraska Medical Center, Omaha, NE 68198, USA,Department of Surgery and VA Research Service, Nebraska-Western Iowa Health Care System, Omaha, NE 68105, USA
| | - Sara B. Cartwright
- Department of Surgery, University of Nebraska Medical Center, Omaha, NE 68198, USA,Department of Surgery and VA Research Service, Nebraska-Western Iowa Health Care System, Omaha, NE 68105, USA
| | - Michael A. Hollingsworth
- Eppley Institute for Research in Cancer and Allied Diseases, Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Audrey J. Lazenby
- Department of Pathology, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Mark A. Carlson
- Department of Surgery, University of Nebraska Medical Center, Omaha, NE 68198, USA,Department of Surgery and VA Research Service, Nebraska-Western Iowa Health Care System, Omaha, NE 68105, USA,Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE 68198, USA,Author for correspondence ()
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Venkatasamy A, Guerin E, Reichardt W, Devignot V, Chenard MP, Miguet L, Romain B, Jung AC, Gross I, Gaiddon C, Mellitzer G. Morpho-functional analysis of patient-derived xenografts reveals differential impact of gastric cancer and chemotherapy on the tumor ecosystem, affecting immune check point, metabolism, and sarcopenia. Gastric Cancer 2023; 26:220-233. [PMID: 36536236 PMCID: PMC9950243 DOI: 10.1007/s10120-022-01359-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 11/25/2022] [Indexed: 12/24/2022]
Abstract
OBJECTIVES Gastric cancer (GC) is an aggressive disease due to late diagnosis resulting from the lack of easy diagnostic tools, resistances toward immunotherapy (due to low PD-L1 expression), or chemotherapies (due to p53 mutations), and comorbidity factors, notably muscle atrophy. To improve our understanding of this complex pathology, we established patient-derived xenograft (PDX) models and characterized the tumor ecosystem using a morpho-functional approach combining high-resolution imaging with molecular analyses, regarding the expression of relevant therapeutic biomarkers and the presence of muscle atrophy. MATERIALS AND METHODS GC tissues samples were implanted in nude mice. Established PDX, treated with cisplatin or not, were imaged by magnetic resonance imaging (MRI) and analyzed for the expression of relevant biomarkers (p53, PD-L1, PD-1, HER-2, CDX2, CAIX, CD31, a-SAM) and by transcriptomics. RESULTS Three well-differentiated, one moderately and one poorly differentiated adenocarcinomas were established. All retained the architectural and histological features of their primary tumors. MRI allowed in-real-time evaluation of differences between PDX, in terms of substructure, post-therapeutic changes, and muscle atrophy. Immunohistochemistry showed differential expression of p53, HER-2, CDX2, a-SAM, PD-L1, PD-1, CAIX, and CD31 between models and upon cisplatin treatment. Transcriptomics revealed treatment-induced hypoxia and metabolic reprograming in the tumor microenvironment. CONCLUSION Our PDX models are representative for the heterogeneity and complexity of human tumors, with differences in structure, histology, muscle atrophy, and the different biomarkers making them valuable for the analyses of the impact of platinum drugs or new therapies on the tumor and its microenvironment.
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Affiliation(s)
- A Venkatasamy
- Streinth Lab (Stress Response and Innovative Therapies), Inserm UMR_S 1113 IRFAC, Interface Recherche Fondamental et Appliquée à la Cancérologie, 3 Avenue Molière, 67200, Strasbourg, France
- IHU-Strasbourg, Institute of Image-Guided Surgery, 67200, Strasbourg, France
- Medizin Physik, Universitätsklinikum Freiburg, Kilianstr. 5a, 70106, Freiburg, Germany
| | - E Guerin
- Streinth Lab (Stress Response and Innovative Therapies), Inserm UMR_S 1113 IRFAC, Interface Recherche Fondamental et Appliquée à la Cancérologie, 3 Avenue Molière, 67200, Strasbourg, France
| | - W Reichardt
- Medizin Physik, Universitätsklinikum Freiburg, Kilianstr. 5a, 70106, Freiburg, Germany
| | - V Devignot
- Streinth Lab (Stress Response and Innovative Therapies), Inserm UMR_S 1113 IRFAC, Interface Recherche Fondamental et Appliquée à la Cancérologie, 3 Avenue Molière, 67200, Strasbourg, France
| | - M P Chenard
- Pathology Department, Hôpital de Hautepierre, Hôpitaux Universitaires de Strasbourg, 1 Avenue Molière, 67098, Strasbourg Cedex, France
| | - L Miguet
- Streinth Lab (Stress Response and Innovative Therapies), Inserm UMR_S 1113 IRFAC, Interface Recherche Fondamental et Appliquée à la Cancérologie, 3 Avenue Molière, 67200, Strasbourg, France
| | - B Romain
- Streinth Lab (Stress Response and Innovative Therapies), Inserm UMR_S 1113 IRFAC, Interface Recherche Fondamental et Appliquée à la Cancérologie, 3 Avenue Molière, 67200, Strasbourg, France
- Digestive Surgery Department, Hôpital de Hautepierre, Hôpitaux Universitaires de Strasbourg, 1 Avenue Molière, 67098, Strasbourg Cedex, France
| | - A C Jung
- Streinth Lab (Stress Response and Innovative Therapies), Inserm UMR_S 1113 IRFAC, Interface Recherche Fondamental et Appliquée à la Cancérologie, 3 Avenue Molière, 67200, Strasbourg, France
- Laboratoire de Biologie Tumorale, Institut de Cancérologie Strasbourg Europe, 67200, Strasbourg, France
| | - I Gross
- Streinth Lab (Stress Response and Innovative Therapies), Inserm UMR_S 1113 IRFAC, Interface Recherche Fondamental et Appliquée à la Cancérologie, 3 Avenue Molière, 67200, Strasbourg, France
| | - C Gaiddon
- Streinth Lab (Stress Response and Innovative Therapies), Inserm UMR_S 1113 IRFAC, Interface Recherche Fondamental et Appliquée à la Cancérologie, 3 Avenue Molière, 67200, Strasbourg, France
| | - G Mellitzer
- Streinth Lab (Stress Response and Innovative Therapies), Inserm UMR_S 1113 IRFAC, Interface Recherche Fondamental et Appliquée à la Cancérologie, 3 Avenue Molière, 67200, Strasbourg, France.
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Lee JE, Yang SH. Advances in Brain Metastasis Models. Brain Tumor Res Treat 2023; 11:16-21. [PMID: 36762804 PMCID: PMC9911715 DOI: 10.14791/btrt.2022.0037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Revised: 10/24/2022] [Accepted: 10/27/2022] [Indexed: 02/05/2023] Open
Abstract
To obtain achievements in addressing the clinical challenges of brain metastasis, we need a clear understanding of its biological mechanisms. Brain metastasis research is challenged by many practical scientific barriers. Depending on the purpose of the study, experimental brain metastasis models in vivo can be used. It is now possible to re-create the architecture and physiology of human organs. Human organoids provide unique opportunities for the study of human disease and complement animal models. The translation of experimental findings to clinical application has several barriers in the development of treatment for brain metastasis. A variety of models have provided significant contributions to the knowledge of brain metastasis pathology and remain pivotal tools for examining novel therapeutic strategies.
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Affiliation(s)
- Jung Eun Lee
- Department of Neurosurgery, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Seung Ho Yang
- Department of Neurosurgery, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
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35
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Førde JL, Reiten IN, Fladmark KE, Kittang AO, Herfindal L. A new software tool for computer assisted in vivo high-content analysis of transplanted fluorescent cells in intact zebrafish larvae. Biol Open 2022; 11:281291. [PMID: 36355409 PMCID: PMC9770244 DOI: 10.1242/bio.059530] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 11/02/2022] [Indexed: 11/12/2022] Open
Abstract
Acute myeloid leukemia and myelodysplastic syndromes are cancers of the bone marrow with poor prognosis in frail and older patients. To investigate cancer pathophysiology and therapies, confocal imaging of fluorescent cancer cells and their response to treatments in zebrafish larvae yields valuable information. While zebrafish larvae are well suited for confocal imaging, the lack of efficient processing of large datasets remains a severe bottleneck. To alleviate this problem, we present a software tool that segments cells from confocal images and track characteristics such as volume, location in the larva and fluorescent intensity on a single-cell basis. Using this software tool, we were able to characterise the responses of the cancer cell lines Molm-13 and MDS-L to established treatments. By utilizing the computer-assisted processing of confocal images as presented here, more information can be obtained while being less time-consuming and reducing the demand of manual data handling, when compared to a manual approach, thereby accelerating the pursuit of novel anti-cancer treatments. The presented software tool is available as an ImageJ java-plugin at https://zenodo.org/10.5281/zenodo.7383160 and the source code at https://github.com/Jfo004/ConfocalCellSegmentation.
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Affiliation(s)
- Jan-Lukas Førde
- Centre for Pharmacy, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway,Department of Internal Medicine, Haukeland University Hospital, 5021 Bergen, Norway
| | - Ingeborg Nerbø Reiten
- Centre for Pharmacy, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway
| | | | - Astrid Olsnes Kittang
- Centre for Pharmacy, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway,Department of Clinical Science, University of Bergen, 5021 Bergen, Norway
| | - Lars Herfindal
- Centre for Pharmacy, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway,Author for correspondence ()
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36
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The Barretos Cancer Hospital Animal Facility: Implementation and Results of a Dedicated Platform for Preclinical Oncology Models. Vet Sci 2022; 9:vetsci9110636. [DOI: 10.3390/vetsci9110636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 10/11/2022] [Accepted: 10/17/2022] [Indexed: 11/19/2022] Open
Abstract
The Barretos Cancer Hospital Animal Facility (BCHAF) is a unique facility in Brazil exclusively dedicated to working with animal models for cancer research. In this article, we briefly present our modern facility and the main experiments performed, focusing on mutant strains of mice (PTCH-knockout and ApcMin mice), xenograft models, and patient-derived xenografts (PDXs). Our results show the progress and challenges in establishing these models and the need for having an appropriate representation of our cancer population to better understand tumor biology and to identify cancer biomarkers, which could be putatively targeted, allowing for personalized therapy.
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Krutilina RI, Hartman KL, Oluwalana D, Playa HC, Parke DN, Chen H, Miller DD, Li W, Seagroves TN. Sabizabulin, a Potent Orally Bioavailable Colchicine Binding Site Agent, Suppresses HER2+ Breast Cancer and Metastasis. Cancers (Basel) 2022; 14:5336. [PMID: 36358755 PMCID: PMC9658816 DOI: 10.3390/cancers14215336] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 10/22/2022] [Accepted: 10/23/2022] [Indexed: 07/30/2023] Open
Abstract
HER2+ breast cancer accounts for 15% of all breast cancer cases. Current frontline therapy for HER2+ metastatic breast cancer relies on targeted antibodies, trastuzumab and pertuzumab, combined with microtubule inhibitors in the taxane class (paclitaxel or docetaxel). It is well known that the clinical efficacy of taxanes is limited by the development of chemoresistance and hematological and neurotoxicities. The colchicine-binding site inhibitors (CBSIs) are a class of promising alternative agents to taxane therapy. Sabizabulin (formerly known as VERU-111) is a potent CBSI that overcomes P-gp-mediated taxane resistance, is orally bioavailable, and inhibits tumor growth and distant metastasis in triple negative breast cancer (TNBC). Herein, we demonstrate the efficacy of sabizabulin in HER2+ breast cancer. In vitro, sabizabulin inhibits the proliferation of HER2+ breast cancer cell lines with low nanomolar IC50 values, inhibits clonogenicity, and induces apoptosis in a concentration-dependent manner. In vivo, sabizabulin inhibits breast tumor growth in the BT474 (ER+/PR+/HER2+) xenograft model and a HER2+ (ER-/PR-) metastatic patient-derived xenograft (PDX) model, HCI-12. We demonstrate that sabizabulin is a promising alternative agent to target tubulin in HER2+ breast cancer with similar anti-metastatic efficacy to paclitaxel, but with the advantage of oral bioavailability and lower toxicity than taxanes.
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Affiliation(s)
- Raisa I. Krutilina
- Department of Pathology, College of Medicine, University of Tennessee Health Science Center, Memphis, TN 38103, USA
| | - Kelli L. Hartman
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Tennessee Health Science Center, Memphis, TN 38103, USA
| | - Damilola Oluwalana
- Department of Pathology, College of Medicine, University of Tennessee Health Science Center, Memphis, TN 38103, USA
| | - Hilaire C. Playa
- Department of Pathology, College of Medicine, University of Tennessee Health Science Center, Memphis, TN 38103, USA
| | - Deanna N. Parke
- Department of Pathology, College of Medicine, University of Tennessee Health Science Center, Memphis, TN 38103, USA
| | - Hao Chen
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Tennessee Health Science Center, Memphis, TN 38103, USA
| | - Duane D. Miller
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Tennessee Health Science Center, Memphis, TN 38103, USA
- Center for Cancer Research, University of Tennessee Health Science Center, Memphis, TN 38103, USA
- Drug Discovery Center, College of Pharmacy, University of Tennessee, Memphis, TN 38103, USA
| | - Wei Li
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Tennessee Health Science Center, Memphis, TN 38103, USA
- Center for Cancer Research, University of Tennessee Health Science Center, Memphis, TN 38103, USA
- Drug Discovery Center, College of Pharmacy, University of Tennessee, Memphis, TN 38103, USA
| | - Tiffany N. Seagroves
- Department of Pathology, College of Medicine, University of Tennessee Health Science Center, Memphis, TN 38103, USA
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Tennessee Health Science Center, Memphis, TN 38103, USA
- Center for Cancer Research, University of Tennessee Health Science Center, Memphis, TN 38103, USA
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38
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Li H, Liu P, Li D, Wang Z, Ding Z, Zhou M, Chen X, Miao M, Ding J, Lin W, Liu Y, Zha X. STAT3/miR-130b-3p/MBNL1 feedback loop regulated by mTORC1 signaling promotes angiogenesis and tumor growth. JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH : CR 2022; 41:297. [PMID: 36217202 PMCID: PMC9552455 DOI: 10.1186/s13046-022-02513-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 10/04/2022] [Indexed: 11/06/2022]
Abstract
Background Aberrantly activated mammalian target of rapamycin complex 1 (mTORC1) plays a vital role in tumor angiogenesis, but its precise mechanisms are still unclear. Methods Micro-RNA-130b-3p (miR-130b-3p) expression in mTORC1-activated and control cells was examined by quantitative real-time PCR (qRT-PCR). MiR-130b-3p levels and their correlation with mTORC1 activity were evaluated by analyzing publicly available databases and in-house head and neck squamous cell carcinoma (HNSCC) tissues. The role of miR-130b-3p in mTORC1-mediated angiogenesis and tumor growth was examined using tube formation assay, chicken chorioallantoic membrane assay, cell line − derived xenograft models, and an HNSCC patient-derived xenograft (PDX) model. The regulatory mechanisms among signal transducer and activator of transcription 3 (STAT3), miR-130b-3p, and muscleblind-like protein 1 (MBNL1) were investigated via bioinformatics analyses, qRT-PCR, western blot, RNA immunoprecipitation, immunofluorescence, luciferase reporter assay, and chromatin immunoprecipitation assay. Results Elevated miR-130b-3p enhanced the angiogenic and tumorigenic abilities of mTORC1-activated cells both in vitro and in vivo. STAT3, a downstream effector of mTORC1, transactivated miR-130b-3p by direct binding promoter of the miR-130b gene. MBNL1 was identified as a direct target of miR-130b-3p. MBNL1 depletion rescued the compromised angiogenesis and tumor growth caused by miR-130b-3p inhibition. MiR-130b-3p levels were significantly upregulated and positively correlated with mTORC1 signaling in multiple cancers. MiR-130b-3p inhibition attenuated tumor angiogenesis and growth in an HNSCC PDX model. MBNL1 feedback inhibited STAT3 activation in mTORC1-activated cells. Conclusions The STAT3/miR-130b-3p/MBNL1 feedback loop plays a vital role in mTORC1-mediated angiogenesis and tumor progression. This pathway could be targeted for therapeutic intervention of mTORC1-related cancers. Supplementary Information The online version contains supplementary material available at 10.1186/s13046-022-02513-z.
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Affiliation(s)
- Hongwu Li
- grid.412679.f0000 0004 1771 3402Department of Otorhinolaryngology, Head & Neck Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032 China ,Anhui Public Health Clinical Center, Hefei, 230032 China ,grid.186775.a0000 0000 9490 772XDepartment of Biochemistry & Molecular Biology, School of Basic Medicine, Anhui Medical University, Hefei, 230032 China
| | - Ping Liu
- grid.412679.f0000 0004 1771 3402Department of Otorhinolaryngology, Head & Neck Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032 China ,Anhui Public Health Clinical Center, Hefei, 230032 China ,grid.186775.a0000 0000 9490 772XDepartment of Biochemistry & Molecular Biology, School of Basic Medicine, Anhui Medical University, Hefei, 230032 China
| | - Dapeng Li
- grid.412679.f0000 0004 1771 3402Department of Otorhinolaryngology, Head & Neck Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032 China
| | - Zixi Wang
- grid.186775.a0000 0000 9490 772XDepartment of Biochemistry & Molecular Biology, School of Basic Medicine, Anhui Medical University, Hefei, 230032 China
| | - Zhao Ding
- grid.412679.f0000 0004 1771 3402Department of Otorhinolaryngology, Head & Neck Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032 China
| | - Meng Zhou
- Department of Pharmacy, Genertec Universal Medical Maanshan Shiqiye Hospital, Maanshan, 243000 Anhui Province China
| | - Xu Chen
- grid.186775.a0000 0000 9490 772XDepartment of Biochemistry & Molecular Biology, School of Basic Medicine, Anhui Medical University, Hefei, 230032 China
| | - Manli Miao
- grid.186775.a0000 0000 9490 772XDepartment of Biochemistry & Molecular Biology, School of Basic Medicine, Anhui Medical University, Hefei, 230032 China
| | - Junli Ding
- grid.412679.f0000 0004 1771 3402Department of Pediatrics, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032 China
| | - Wei Lin
- grid.412679.f0000 0004 1771 3402Department of Stomatology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032 China
| | - Yehai Liu
- grid.412679.f0000 0004 1771 3402Department of Otorhinolaryngology, Head & Neck Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032 China
| | - Xiaojun Zha
- grid.186775.a0000 0000 9490 772XDepartment of Biochemistry & Molecular Biology, School of Basic Medicine, Anhui Medical University, Hefei, 230032 China
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Gohara S, Shinohara K, Yoshida R, Kariya R, Tazawa H, Hashimoto M, Inoue J, Kubo R, Nakashima H, Arita H, Kawaguchi S, Yamana K, Nagao Y, Iwamoto A, Sakata J, Matsuoka Y, Takeshita H, Hirayama M, Kawahara K, Nagata M, Hirosue A, Kuwahara Y, Fukumoto M, Okada S, Urata Y, Fujiwara T, Nakayama H. An oncolytic virus as a promising candidate for the treatment of radioresistant oral squamous cell carcinoma. Mol Ther Oncolytics 2022; 27:141-156. [PMID: 36381653 PMCID: PMC9619351 DOI: 10.1016/j.omto.2022.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 10/04/2022] [Indexed: 11/21/2022] Open
Abstract
We evaluated the usefulness of an oncolytic virus (Suratadenoturev; OBP-301) against radioresistant oral squamous cell carcinoma. We confirmed the expression of human telomerase reverse transcriptase and the coxsackievirus and adenovirus receptor in cell lines. Also, we examined the potential presence in a patient who has received existing therapy that is amenable to treatment with OBP-301. We evaluated: (1) the antitumor effects of OBP-301 alone and in combination with radiotherapy on radioresistant cell lines, (2) the molecular mechanism underlying the radiosensitizing effect and cell death increased by the combination therapy, and (3) the antitumor effect of the combination therapy in vivo using xenograft models (a radioresistant cell line-derived xenograft in mouse and a patient-derived xenograft). Human telomerase reverse transcriptase and the coxsackievirus and adenovirus receptor were expressed in all cell lines. OBP-301 decreased the proliferative activity of these cell lines in a concentration-dependent manner, and significantly enhanced the antitumor effect of irradiation. Phosphorylated STAT3 and its downstream molecules, which correlated with apoptosis and autophagy, showed significant changes in expression after treatment with OBP-301. The combination therapy exerted a significant antitumor effect versus radiotherapy alone in both xenograft models. Combination of OBP-301 with radiotherapy exerts a synergistic effect and may represent a promising treatment for radioresistant oral squamous cell carcinoma.
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Affiliation(s)
- Shunsuke Gohara
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Kosuke Shinohara
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Ryoji Yoshida
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
- Corresponding author Ryoji Yoshida, Department of Oral and Maxillofacial Surgery, Graduate School of Life Sciences, Kumamoto University, Honjo 1-1-1, Chuo-ku, Kumamoto 860-8556, Japan.
| | | | - Hiroshi Tazawa
- Department of Gastroenterological Surgery, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Masashi Hashimoto
- Department of Gastroenterological Surgery, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Junki Inoue
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Ryuta Kubo
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Hikaru Nakashima
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Hidetaka Arita
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Sho Kawaguchi
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Keisuke Yamana
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Yuka Nagao
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Asuka Iwamoto
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Junki Sakata
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Yuichiro Matsuoka
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Hisashi Takeshita
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Masatoshi Hirayama
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Kenta Kawahara
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Masashi Nagata
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Akiyuki Hirosue
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Yoshikazu Kuwahara
- Radiation Biology and Medicine, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Manabu Fukumoto
- Pathology Informatics Team, RIKEN Center for Advanced Intelligence Project, Chuo-ku, Tokyo, Japan
| | - Seiji Okada
- Division of Hematopoiesis, Joint Research Center for Human Retrovirus Infection and Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan
| | - Yasuo Urata
- Division of Hematopoiesis, Joint Research Center for Human Retrovirus Infection and Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan
| | - Toshiyoshi Fujiwara
- Department of Gastroenterological Surgery, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Hideki Nakayama
- Department of Oral and Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
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Zebrafish Models of Paediatric Brain Tumours. Int J Mol Sci 2022; 23:ijms23179920. [PMID: 36077320 PMCID: PMC9456103 DOI: 10.3390/ijms23179920] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 08/25/2022] [Accepted: 08/29/2022] [Indexed: 11/30/2022] Open
Abstract
Paediatric brain cancer is the second most common childhood cancer and is the leading cause of cancer-related deaths in children. Despite significant advancements in the treatment modalities and improvements in the 5-year survival rate, it leaves long-term therapy-associated side effects in paediatric patients. Addressing these impairments demands further understanding of the molecularity and heterogeneity of these brain tumours, which can be demonstrated using different animal models of paediatric brain cancer. Here we review the use of zebrafish as potential in vivo models for paediatric brain tumour modelling, as well as catalogue the currently available zebrafish models used to study paediatric brain cancer pathophysiology, and discuss key findings, the unique attributes that these models add, current challenges and therapeutic significance.
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Construction of a Humanized PBMC-PDX Model to Study the Efficacy of a Bacterial Marker in Lung Cancer Immunotherapy. DISEASE MARKERS 2022; 2022:1479246. [PMID: 36072895 PMCID: PMC9441396 DOI: 10.1155/2022/1479246] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 06/22/2022] [Indexed: 11/23/2022]
Abstract
Commensal microbiome is a key factor of lung cancer immunotherapy efficacy. Elucidating the role of specific strains as bacterial markers in immunotherapy has drawn great attention from the academia. At present, most preclinical studies about the relationship between bacterial markers and immunotherapy rely on the syngeneic mouse models. However, mice differ greatly from humans in immune system and tumor characteristics. In this study, humanized mouse models based on peripheral blood mononuclear cells (PBMCs) immune reconstitution and lung cancer cell line-derived xenograft (CDX) or patient-derived xenograft (PDX) were constructed. The PBMC-PDX model was shown to be superior to the PBMC-CDX model in preserving tumor heterogeneity and construction time-saving. Through optimizing the experimental process, the time it took for humanized models to evaluate the effect of cancer treatment was reduced to 42 days. Next, by utilizing PBMC-PDX mice treated with antibiotics (ATB), the role of Bifidobacterium longum in lung cancer immunotherapy was studied. It was found that although both Bifidobacterium longum and immunotherapy drug pembrolizumab alone showed suppressing tumor growth, the efficacy of pembrolizumab was attenuated when administrated to mice colonized with Bifidobacterium longum. Further exploration revealed that Bifidobacterium longum caused significant changes in the proportion of human CD45+ cells in the PBMC-PDX model. The PBMC-PDX model has the potential to be applied as an efficient platform to support evaluation of bacterial markers in immunotherapy research and facilitate development of precision medicine targeting human commensal bacteria.
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Moro CF, Selvam AK, Ghaderi M, Pimenoff VN, Gerling M, Bozóky B, Elduayen SP, Dillner J, Björnstedt M. Drug-induced tumor-specific cytotoxicity in a whole tissue ex vivo model of human pancreatic ductal adenocarcinoma. Front Oncol 2022; 12:965182. [PMID: 36059619 PMCID: PMC9436406 DOI: 10.3389/fonc.2022.965182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 07/22/2022] [Indexed: 11/13/2022] Open
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is the most common type of pancreatic cancer. PDAC has a dismal prognosis and an inherent resistance to cytostatic drugs. The lack of reliable experimental models is a severe limitation for drug development targeting PDAC. We have employed a whole tissue ex vivo culture model to explore the effect of redox-modulation by sodium selenite on the viability and growth of PDAC. Drug-resistant tumors are more vulnerable to redox-active selenium compounds because of high metabolic activity and redox imbalance. Sodium selenite efficiently and specifically reduced PDAC cell viability (p <0.02) (n=8) and decreased viable de novo tumor cell outgrowth (p<0.05) while preserving non-neoplastic tissues. Major cellular responses (damaged tumor cells > 90%, tumor regression grades III-IV according to Evans) were observed for sodium selenite concentrations between 15-30 µM. Moreover, selenium levels used in this study were significantly below the previously reported maximum tolerated dose for humans. Transcriptome data analysis revealed decreased expression of genes known to drive PDAC growth and metastatic potential (CEMIP, DDR2, PLOD2, P4HA1) while the cell death-inducing genes (ATF3, ACHE) were significantly upregulated (p<0.0001). In conclusion, we report that sodium selenite has an extraordinary efficacy and specificity against drug-resistant pancreatic cancer in an organotypic slice culture model. Our ex vivo organotypic tissue slice culture model can be used to test a variety of drug candidates for swift and reliable drug responses to individual PDAC cases.
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Affiliation(s)
- Carlos Fernández Moro
- Department of Laboratory Medicine, Division of Pathology F46, Karolinska Institutet, Karolinska University Hospital Huddinge, Stockholm, Sweden
- Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden
| | - Arun Kumar Selvam
- Department of Laboratory Medicine, Division of Pathology F46, Karolinska Institutet, Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - Mehran Ghaderi
- Department of Laboratory Medicine, Division of Pathology F46, Karolinska Institutet, Karolinska University Hospital Huddinge, Stockholm, Sweden
- Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden
| | - Ville N. Pimenoff
- Department of Laboratory Medicine, Division of Pathology F46, Karolinska Institutet, Karolinska University Hospital Huddinge, Stockholm, Sweden
- Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden
| | - Marco Gerling
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
- Tema Cancer, Karolinska University Hospital, Stockholm, Sweden
| | - Béla Bozóky
- Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden
| | - Soledad Pouso Elduayen
- Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden
| | - Joakim Dillner
- Department of Laboratory Medicine, Division of Pathology F46, Karolinska Institutet, Karolinska University Hospital Huddinge, Stockholm, Sweden
- Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden
| | - Mikael Björnstedt
- Department of Laboratory Medicine, Division of Pathology F46, Karolinska Institutet, Karolinska University Hospital Huddinge, Stockholm, Sweden
- Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden
- *Correspondence: Mikael Björnstedt,
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3D Disease Modelling of Hard and Soft Cancer Using PHA-Based Scaffolds. Cancers (Basel) 2022; 14:cancers14143549. [PMID: 35884609 PMCID: PMC9321847 DOI: 10.3390/cancers14143549] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 07/18/2022] [Indexed: 02/04/2023] Open
Abstract
Simple Summary Tumour progression in vivo was able to be well mimicked in 3D culture by utilizing biodegradable 10 mm × 10 mm × 8 mm P(3HO-co-3HD) and P(3HB)-based 3D scaffolds with a pore size of 30 to 300 µm. Both hard (MCF7 and MDA-MB-231) and soft (HCT116) tumour-related cells were successfully grown on the scaffolds, and their growth patterns were studied for 5 days. MDA-MB-231 tend to grow in clusters, and MCF7 cells form an evenly dispersed layer, which covered most of the 3D PHA scaffolds, while HCT116 formed large colonies within the pockets of the 3D PHA scaffold. Epithelial mesenchymal transition (EMT) marker genes, including Wnt-11, E-cadherin, Vim and Snail expression profiles, were like those seen in real tumour samples, which confirmed that the cancer models were exhibiting real tumour-like characteristics with high fidelity. These models are important in mimicking hypoxic tumours and in studying gene expression, cellular signalling, angiogenesis and drug response for translational research. Abstract Tumour cells are shown to change shape and lose polarity when they are cultured in 3D, a feature typically associated with tumour progression in vivo, thus making it significant to study cancer cells in an environment that mimics the in vivo milieu. In this study we established hard (MCF7 and MDA-MB-231, breast cancer) and soft (HCT116, colon cancer) 3D cancer tumour models utilizing a blend of P(3HO-co-3HD) and P(3HB). P(3HO-co-3HD) and P(3HB) belong to a group of natural biodegradable polyesters, PHAs, that are synthesised by microorganisms. The 3D PHA scaffolds produced, with a pore size of 30 to 300 µm, allow for nutrients to diffuse within the scaffold and provide the cells with the flexibility to distribute evenly within the scaffold and grow within the pores. Interestingly, by Day 5, MDA-MB-231 showed dispersed growth in clusters, and MCF7 cells formed an evenly dispersed dense layer, while HCT116 formed large colonies within the pockets of the 3D PHA scaffolds. Our results show Epithelial Mesenchymal Transition (EMT) marker gene expression profiles in the hard tumour cancer models. In the 3D-based PHA scaffolds, MDA-MB-231 cells expressed higher levels of Wnt-11 and mesenchymal markers, such as Snail and its downstream gene Vim mRNAs, while MCF7 cells exhibited no change in their expression. On the other hand, MCF7 cells exhibited a significantly increased E-Cadherin expression as compared to MDA-MB-231 cells. The expression levels of EMT markers were comparative to their expression reported in the tumour samples, making them good representative of cancer models. In future these models will be helpful in mimicking hypoxic tumours, in studying gene expression, cellular signalling, angiogenesis and drug response more accurately than 2D and perhaps other 3D models.
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The cell-line-derived subcutaneous tumor model in preclinical cancer research. Nat Protoc 2022; 17:2108-2128. [PMID: 35859135 DOI: 10.1038/s41596-022-00709-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Accepted: 03/31/2022] [Indexed: 01/09/2023]
Abstract
Tumor-bearing experimental animals are essential for preclinical cancer drug development. A broad range of tumor models is available, with the simplest and most widely used involving a tumor of mouse or human origin growing beneath the skin of a mouse: the subcutaneous tumor model. Here, we outline the different types of in vivo tumor model, including some of their advantages and disadvantages and how they fit into the drug-development process. We then describe in more detail the subcutaneous tumor model and key steps needed to establish it in the laboratory, namely: choosing the mouse strain and tumor cells; cell culture, preparation and injection of tumor cells; determining tumor volume; mouse welfare; and an appropriate experimental end point. The protocol leads to subcutaneous tumor growth usually within 1-3 weeks of cell injection and is suitable for those with experience in tissue culture and mouse experimentation.
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Zhang T, Li S, Li J, Yin F, Hua Y, Wang Z, Wang H, Zuo D, Xu J, Cai Z. Pectolinarigenin acts as a potential anti-osteosarcoma agent via mediating SHP-1/JAK2/STAT3 signaling. Biomed Pharmacother 2022; 153:113323. [PMID: 35752008 DOI: 10.1016/j.biopha.2022.113323] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 06/10/2022] [Accepted: 06/20/2022] [Indexed: 11/28/2022] Open
Abstract
Signal transducer and activator of transcription 3 (STAT3) plays essential roles in cancer progression and has been considered as a promising target for cancer therapy. Here, we used a dual luciferase assay to identify that pectolinarigenin inhibited STAT3 transcriptional activity. Further, results showed pectolinarigenin inhibited constitutive and IL6 induced STAT3 signaling, diminished the accumulation of STAT3 in the nucleus, dimerization and blocked STAT3 DNA binding activity. Mechanism investigations indicated that pectolinarigenin disturbed the STAT3/DNMT1/HDAC1 complex formation in the promoter region of SHP-1, which reversely mediates STAT3 signaling, leading to the upregulation of SHP-1 expression in osteosarcoma. We also found pectolinarigenin significantly suppressed osteosarcoma growth, induced apoptosis. In addition, pectolinarigenin blocked tumor cells migration, invasion and reserved EMT phenotype. In spontaneous tibial injection and patient-derived xenograft models of osteosarcoma, we identified administration (i.p.) of pectolinarigenin (20 mg/kg/2 days and 50 mg/kg/2 days) blocked STAT3 activation and disturbed tumor growth and metastasis with superior pharmacodynamic properties. Taken together, our findings demonstrate that pectolinarigenin may be a candidate for osteosarcoma intervention linked to its STAT3 signaling inhibitory activity.
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Affiliation(s)
- Tao Zhang
- Department of Orthopedics, Shanghai Bone Tumor Institution, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, PR China.
| | - Suoyuan Li
- Department of Orthopedics, Shanghai Bone Tumor Institution, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, PR China; Suzhou Municipal Hospital, Suzhou, PR China
| | - Jingjie Li
- Translational Medicine Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, PR China
| | - Fei Yin
- Department of Orthopedics, Shanghai Bone Tumor Institution, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, PR China
| | - Yingqi Hua
- Department of Orthopedics, Shanghai Bone Tumor Institution, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, PR China
| | - Zhuoying Wang
- Department of Orthopedics, Shanghai Bone Tumor Institution, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, PR China
| | - Hongsheng Wang
- Department of Orthopedics, Shanghai Bone Tumor Institution, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, PR China
| | - Dongqing Zuo
- Department of Orthopedics, Shanghai Bone Tumor Institution, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, PR China
| | - Jing Xu
- Department of Orthopedics, Shanghai Bone Tumor Institution, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, PR China
| | - Zhengdong Cai
- Department of Orthopedics, Shanghai Bone Tumor Institution, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, PR China.
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Shi C, Gu Z, Xu S, Ju H, Wu Y, Han Y, Li J, Li C, Wu J, Wang L, Li J, Zhou G, Ye W, Ren G, Zhang Z, Zhou R. Candidate therapeutic agents in a newly established triple wild‐type mucosal melanoma cell line. Cancer Commun (Lond) 2022; 42:627-647. [PMID: 35666052 PMCID: PMC9257989 DOI: 10.1002/cac2.12315] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 03/03/2022] [Accepted: 05/23/2022] [Indexed: 12/12/2022] Open
Abstract
Background Mucosal melanoma has characteristically distinct genetic features and typically poor prognosis. The lack of representative mucosal melanoma models, especially cell lines, has hindered translational research on this melanoma subtype. In this study, we aimed to establish and provide the biological properties, genomic features and the pharmacological profiles of a mucosal melanoma cell line that would contribute to the understanding and treatment optimization of molecularly‐defined mucosal melanoma subtype. Methods The sample was collected from a 67‐year‐old mucosal melanoma patient and processed into pieces for the establishment of cell line and patient‐derived xenograft (PDX) model. The proliferation and tumorigenic property of cancer cells from different passages were evaluated, and whole‐genome sequencing (WGS) was performed on the original tumor, PDX, established cell line, and the matched blood to confirm the establishment and define the genomic features of this cell line. AmpliconArchitect was conducted to depict the architecture of amplified regions detected by WGS. High‐throughput drug screening (HTDS) assay including a total of 103 therapeutic agents was implemented on the established cell line, and selected candidate agents were validated in the corresponding PDX model. Results A mucosal melanoma cell line, MM9H‐1, was established which exhibited robust proliferation and tumorigenicity after more than 100 serial passages. Genomic analysis of MM9H‐1, corresponding PDX, and the original tumor showed genetic fidelity across genomes, and MM9H‐1 was defined as a triple wild‐type (TWT) melanoma subtype lacking well‐characterized “driver mutations”. Instead, the amplification of several oncogenes, telomerase reverse transcriptase (TERT), v‐Raf murine sarcoma viral oncogene homolog B1 (BRAF), melanocyte Inducing transcription factor (MITF) and INO80 complex ATPase subunit (INO80), via large‐scale genomic rearrangement potentially contributed to oncogenesis of MM9H‐1. Moreover, HTDS identified proteasome inhibitors, especially bortezomib, as promising therapeutic candidates for MM9H‐1, which was verified in the corresponding PDX model in vivo. Conclusions We established and characterized a new mucosal melanoma cell line, MM9H‐1, and defined this cell line as a TWT melanoma subtype lacking well‐characterized “driver mutations”. The MM9H‐1 cell line could be adopted as a unique model for the preclinical investigation of mucosal melanoma.
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Faria CC, Cascão R, Custódia C, Paisana E, Carvalho T, Pereira P, Roque R, Pimentel J, Miguéns J, Cortes-Ciriano I, Barata JT. Patient-derived models of brain metastases recapitulate human disseminated disease. Cell Rep Med 2022; 3:100623. [PMID: 35584628 PMCID: PMC9133464 DOI: 10.1016/j.xcrm.2022.100623] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 02/01/2022] [Accepted: 04/08/2022] [Indexed: 12/02/2022]
Abstract
Dissemination of cancer cells from primary tumors to the brain occurs in many cancer patients, increasing morbidity and death. There is an unmet medical need to develop translational platforms to evaluate therapeutic responses. Toward this goal, we established a library of 23 patient-derived xenografts (PDXs) of brain metastases (BMs) from eight distinct primary tumors. In vivo tumor formation correlates with patients’ poor survival. Mouse subcutaneous xenografts develop spontaneous metastases and intracardiac PDXs increase dissemination to the CNS, both models mimicking the dissemination pattern of the donor patient. We test the FDA-approved drugs buparlisib (pan-PI3K inhibitor) and everolimus (mTOR inhibitor) and show their efficacy in treating our models. Finally, we show by RNA sequencing that human BMs and their matched PDXs have similar transcriptional profiles. Overall, these models of BMs recapitulate the biology of human metastatic disease and can be valuable translational platforms for precision medicine. Established PDXs of brain metastasis from multiple cancers PDXs recapitulate the dissemination pattern of patient tumors Patient-derived models of brain metastases are valuable to test anticancer drugs Human brain metastases and their PDXs retain similar transcriptional profiles
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Affiliation(s)
- Claudia C Faria
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal; Department of Neurosurgery, Hospital de Santa Maria, Centro Hospitalar Universitário Lisboa Norte (CHULN), Lisboa, Portugal.
| | - Rita Cascão
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Carlos Custódia
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Eunice Paisana
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Tânia Carvalho
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Pedro Pereira
- Laboratory of Neuropathology, Neurology Department, Hospital de Santa Maria, Centro Hospitalar Universitário Lisboa Norte (CHULN), Lisboa, Portugal
| | - Rafael Roque
- Laboratory of Neuropathology, Neurology Department, Hospital de Santa Maria, Centro Hospitalar Universitário Lisboa Norte (CHULN), Lisboa, Portugal
| | - José Pimentel
- Laboratory of Neuropathology, Neurology Department, Hospital de Santa Maria, Centro Hospitalar Universitário Lisboa Norte (CHULN), Lisboa, Portugal
| | - José Miguéns
- Department of Neurosurgery, Hospital de Santa Maria, Centro Hospitalar Universitário Lisboa Norte (CHULN), Lisboa, Portugal
| | - Isidro Cortes-Ciriano
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge CB10 1SD, UK
| | - João T Barata
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
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Xu H, Jiao D, Liu A, Wu K. Tumor organoids: applications in cancer modeling and potentials in precision medicine. J Hematol Oncol 2022; 15:58. [PMID: 35551634 PMCID: PMC9103066 DOI: 10.1186/s13045-022-01278-4] [Citation(s) in RCA: 56] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 04/28/2022] [Indexed: 12/24/2022] Open
Abstract
Cancer is a top-ranked life-threatening disease with intratumor heterogeneity. Tumor heterogeneity is associated with metastasis, relapse, and therapy resistance. These factors contribute to treatment failure and an unfavorable prognosis. Personalized tumor models faithfully capturing the tumor heterogeneity of individual patients are urgently needed for precision medicine. Advances in stem cell culture have given rise to powerful organoid technology for the generation of in vitro three-dimensional tissues that have been shown to more accurately recapitulate the structures, specific functions, molecular characteristics, genomic alterations, expression profiles, and tumor microenvironment of primary tumors. Tumoroids in vitro serve as an important component of the pipeline for the discovery of potential therapeutic targets and the identification of novel compounds. In this review, we will summarize recent advances in tumoroid cultures as an excellent tool for accurate cancer modeling. Additionally, vascularization and immune microenvironment modeling based on organoid technology will also be described. Furthermore, we will summarize the great potential of tumor organoids in predicting the therapeutic response, investigating resistance-related mechanisms, optimizing treatment strategies, and exploring potential therapies. In addition, the bottlenecks and challenges of current tumoroids will also be discussed in this review.
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Affiliation(s)
- Hanxiao Xu
- Department of Pediatrics, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Dechao Jiao
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Aiguo Liu
- Department of Pediatrics, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Kongming Wu
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China. .,Department of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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Shukla P, Yeleswarapu S, Heinrich M, Prakash J, Pati F. Mimicking Tumor Microenvironment by 3D Bioprinting: 3D Cancer Modeling. Biofabrication 2022; 14. [PMID: 35512666 DOI: 10.1088/1758-5090/ac6d11] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 05/05/2022] [Indexed: 11/12/2022]
Abstract
The tumor microenvironment typically comprises cancer cells, tumor vasculature, stromal components like fibroblasts, and host immune cells that assemble to support tumorigenesis. However, preexisting classic cancer models like 2D cell culture methods, 3D cancer spheroids, and tumor organoids seem to lack essential tumor microenvironment components. 3D bioprinting offers enormous advantages for developing in vitro tumor models by allowing user-controlled deposition of multiple biomaterials, cells, and biomolecules in a predefined architecture. This review highlights the recent developments in 3D cancer modeling using different bioprinting techniques to recreate the TME. 3D bioprinters enable fabrication of high-resolution microstructures to reproduce TME intricacies. Furthermore, 3D bioprinted models can be applied as a preclinical model for versatile research applications in the tumor biology and pharmaceutical industries. These models provide an opportunity to develop high-throughput drug screening platforms and can further be developed to suit individual patient requirements hence giving a boost to the field of personalized anti-cancer therapeutics. We underlined the various ways the existing studies have tried to mimic the TME, mimic the hallmark events of cancer growth and metastasis within the 3D bioprinted models and showcase the 3D drug-tumor interaction and further utilization of such models to develop personalized medicine.
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Affiliation(s)
- Priyanshu Shukla
- Department of Biomedical Engineering, Indian Institute of Technology Hyderabad, Indian Institute of Technology Hyderabad, Kandi, Sangareddy, Hyderabad, Telangana, 502285, INDIA
| | - Sriya Yeleswarapu
- Department of Biomedical Engineering, Indian Institute of Technology Hyderabad, Indian Institute of Technology Hyderabad, Kandi, Sangareddy, Hyderabad, Telangana, 502285, INDIA
| | - Marcel Heinrich
- Department of Biomaterials, Science and Technology, University of Twente Faculty of Science and Technology, Department of Biomaterials, Science and Technology, Faculty of Science and Technology, University of Twente, Drienerlolaan 5, 7500AE, Enschede, The Netherlands, Enschede, Overijssel, 7500 AE, NETHERLANDS
| | - Jai Prakash
- Department of Biomaterials, Science and Technology, University of Twente Faculty of Science and Technology, Department of Biomaterials, Science and Technology, Faculty of Science and Technology, University of Twente, Drienerlolaan 5, 7500AE, Enschede, The Netherlands, Enschede, Overijssel, 7500 AE, NETHERLANDS
| | - Falguni Pati
- Department of Biomedical Engineering, Indian Institute of Technology Hyderabad, Indian Institute of Technology Hyderabad, Kandi, Sangareddy, Hyderabad, Telangana, 502285, INDIA
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Luo CK, Chou PH, Ng SK, Lin WY, Wei TT. Cannabinoids orchestrate cross-talk between cancer cells and endothelial cells in colorectal cancer. Cancer Gene Ther 2022; 29:597-611. [PMID: 34007062 DOI: 10.1038/s41417-021-00346-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 04/26/2021] [Accepted: 05/06/2021] [Indexed: 02/07/2023]
Abstract
Medical marijuana has been approved by the FDA for treating chemotherapy-induced nausea and vomiting. However, less is known about its direct effects on tumor cells and the tumor microenvironment. In this study, RNA-sequencing datasets in the NCBI GEO repository were first analyzed; upregulation of cannabinoid receptors was observed in both primary and metastatic colorectal cancer (CRC) tumor tissues. An increase of cannabinoid receptors was also found in patients with CRC, azoxymethane/dextran sulfate sodium-induced CRC and CRC metastatic mouse models. Δ9-Tetrahydrocannabinol (Δ9-THC)-induced tumor progression in both primary and metastatic mouse models and also increased angiogenesis. A human growth factor antibody array indicated that Δ9-THC promoted the secretion of angiogenic growth factors in CRC, leading to the induction of tube formation and migration in human-induced pluripotent stem cell-derived vascular endothelial cells. The nuclear translocation of STAT1 played important roles in Δ9-THC-induced angiogenesis and tumor progression. Pharmacological treatment with STAT1 antagonist or abrogation of STAT1 with CRISPR/Cas9-based strategy rescued those effects of Δ9-THC in CRC. This study demonstrates that marijuana might increase the risk of CRC progression and that inhibition of STAT1 is a potential strategy for attenuating these side effects.
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Affiliation(s)
- Cong-Kai Luo
- Department and Graduate Institute of Pharmacology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Pei-Hsuan Chou
- Department and Graduate Institute of Pharmacology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Shang-Kok Ng
- Department and Graduate Institute of Pharmacology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Wen-Yen Lin
- School of Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Tzu-Tang Wei
- Department and Graduate Institute of Pharmacology, College of Medicine, National Taiwan University, Taipei, Taiwan.
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