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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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Salu P, Reindl KM. Advancements in Preclinical Models of Pancreatic Cancer. Pancreas 2024; 53:e205-e220. [PMID: 38206758 PMCID: PMC10842038 DOI: 10.1097/mpa.0000000000002277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2024]
Abstract
ABSTRACT Pancreatic cancer remains one of the deadliest of all cancer types with a 5-year overall survival rate of just 12%. Preclinical models available for understanding the disease pathophysiology have evolved significantly in recent years. Traditionally, commercially available 2-dimensional cell lines were developed to investigate mechanisms underlying tumorigenesis, metastasis, and drug resistance. However, these cells grow as monolayer cultures that lack heterogeneity and do not effectively represent tumor biology. Developing patient-derived xenografts and genetically engineered mouse models led to increased cellular heterogeneity, molecular diversity, and tissues that histologically represent the original patient tumors. However, these models are relatively expensive and very timing consuming. More recently, the advancement of fast and inexpensive in vitro models that better mimic disease conditions in vivo are on the rise. Three-dimensional cultures like organoids and spheroids have gained popularity and are considered to recapitulate complex disease characteristics. In addition, computational genomics, transcriptomics, and metabolomic models are being developed to simulate pancreatic cancer progression and predict better treatment strategies. Herein, we review the challenges associated with pancreatic cancer research and available analytical models. We suggest that an integrated approach toward using these models may allow for developing new strategies for pancreatic cancer precision medicine.
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Affiliation(s)
- Philip Salu
- From the Department of Biological Sciences, North Dakota State University, Fargo, ND
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Lee EJ, Noh SJ, Choi H, Kim MW, Kim SJ, Seo YA, Jeong JE, Shin I, Kim JS, Choi JK, Cho DY, Chang S. Comparative RNA-Seq Analysis Revealed Tissue-Specific Splicing Variations during the Generation of the PDX Model. Int J Mol Sci 2023; 24:17001. [PMID: 38069324 PMCID: PMC10707456 DOI: 10.3390/ijms242317001] [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: 10/31/2023] [Revised: 11/22/2023] [Accepted: 11/27/2023] [Indexed: 12/18/2023] Open
Abstract
Tissue-specific gene expression generates fundamental differences in the function of each tissue and affects the characteristics of the tumors that are created as a result. However, it is unclear how much the tissue specificity is conserved during grafting of the primary tumor into an immune-compromised mouse model. Here, we performed a comparative RNA-seq analysis of four different primary-patient derived xenograft (PDX) tumors. The analysis revealed a conserved RNA biotype distribution of primary-PDX pairs, as revealed by previous works. Interestingly, we detected significant changes in the splicing pattern of PDX, which was mainly comprised of skipped exons. This was confirmed by splicing variant-specific RT-PCR analysis. On the other hand, the correlation analysis for the tissue-specific genes indicated overall strong positive correlations between the primary and PDX tumor pairs, with the exception of gastric cancer cases, which showed an inverse correlation. These data propose a tissue-specific change in splicing events during PDX formation as a variable factor that affects primary-PDX integrity.
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Affiliation(s)
- Eun Ji Lee
- Department of Physiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Republic of Korea; (E.J.L.); (M.W.K.); (S.J.K.); (Y.A.S.); (J.E.J.)
| | - Seung-Jae Noh
- PentaMedix Co., Ltd., Seongnam 13449, Republic of Korea; (S.-J.N.); (H.C.); (D.-Y.C.)
| | - Huiseon Choi
- PentaMedix Co., Ltd., Seongnam 13449, Republic of Korea; (S.-J.N.); (H.C.); (D.-Y.C.)
| | - Min Woo Kim
- Department of Physiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Republic of Korea; (E.J.L.); (M.W.K.); (S.J.K.); (Y.A.S.); (J.E.J.)
| | - Su Jin Kim
- Department of Physiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Republic of Korea; (E.J.L.); (M.W.K.); (S.J.K.); (Y.A.S.); (J.E.J.)
| | - Yeon Ah Seo
- Department of Physiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Republic of Korea; (E.J.L.); (M.W.K.); (S.J.K.); (Y.A.S.); (J.E.J.)
| | - Ji Eun Jeong
- Department of Physiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Republic of Korea; (E.J.L.); (M.W.K.); (S.J.K.); (Y.A.S.); (J.E.J.)
| | - Inkyung Shin
- PentaMedix Co., Ltd., Seongnam 13449, Republic of Korea; (S.-J.N.); (H.C.); (D.-Y.C.)
| | - Jong-Seok Kim
- Myunggok Medical Research Institute, College of Medicine, Konyang University, Daejeon 35365, Republic of Korea; (J.-S.K.); (J.-K.C.)
| | - Jong-Kwon Choi
- Myunggok Medical Research Institute, College of Medicine, Konyang University, Daejeon 35365, Republic of Korea; (J.-S.K.); (J.-K.C.)
| | - Dae-Yeon Cho
- PentaMedix Co., Ltd., Seongnam 13449, Republic of Korea; (S.-J.N.); (H.C.); (D.-Y.C.)
| | - Suhwan Chang
- Department of Physiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Republic of Korea; (E.J.L.); (M.W.K.); (S.J.K.); (Y.A.S.); (J.E.J.)
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Charbonneau M, Harper K, Brochu-Gaudreau K, Perreault A, Roy LO, Lucien F, Tian S, Fortin D, Dubois CM. The development of a rapid patient-derived xenograft model to predict chemotherapeutic drug sensitivity/resistance in malignant glial tumors. Neuro Oncol 2023; 25:1605-1616. [PMID: 36821432 PMCID: PMC10479744 DOI: 10.1093/neuonc/noad047] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Indexed: 02/24/2023] Open
Abstract
BACKGROUND High-grade gliomas (HGG) are aggressive brain tumors associated with short median patient survival and limited response to therapies, driving the need to develop tools to improve patient outcomes. Patient-derived xenograft (PDX) models, such as mouse PDX, have emerged as potential Avatar platforms for personalized oncology approaches, but the difficulty for some human grafts to grow successfully and the long time required for mice to develop tumors preclude their use for HGG. METHODS We used a rapid and efficient ex-ovo chicken embryo chorioallantoic membrane (CAM) culture system to evaluate the efficacy of oncologic drug options for HGG patients. RESULTS Implantation of fresh glioma tissue fragments from 59 of 60 patients, that include difficult-to-grow IDH-mutated samples, successfully established CAM tumor xenografts within 7 days, with a tumor take rate of 98.3%. These xenografts faithfully recapitulate the histological and molecular characteristics of the primary tumor, and the ability of individual fragments to form tumors was predictive of poor patient prognosis. Treatment of drug-sensitive or drug-resistant xenografts indicates that the CAM-glioma assay enables testing tumor sensitivity to temozolomide and carboplatin at doses consistent with those administered to patients. In a proof-of-concept study involving 14 HGG patients, we observed a correlation of 100% between the CAM xenograft response to temozolomide or carboplatin and the clinical response of patients. CONCLUSION The CAM-glioma model is a fast and reliable assay that has the potential to serve as a complementary model to drug discovery and a real-time Avatar platform to predict the best treatment for HGG patients.
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Affiliation(s)
- Martine Charbonneau
- Department of Immunology and Cell Biology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, QC J1H 5N4, Canada
| | - Kelly Harper
- Department of Immunology and Cell Biology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, QC J1H 5N4, Canada
| | - Karine Brochu-Gaudreau
- Department of Immunology and Cell Biology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, QC J1H 5N4, Canada
| | - Alexis Perreault
- Department of Immunology and Cell Biology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, QC J1H 5N4, Canada
| | - Laurent-Olivier Roy
- Department of Surgery, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, QC J1H 5N4, Canada
| | | | - Shulan Tian
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - David Fortin
- Department of Surgery, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, QC J1H 5N4, Canada
| | - Claire M Dubois
- Department of Immunology and Cell Biology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, QC J1H 5N4, Canada
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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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Advanced Xenograft Model with Cotransplantation of Patient-Derived Organoids and Endothelial Colony-Forming Cells for Precision Medicine. JOURNAL OF ONCOLOGY 2021; 2021:9994535. [PMID: 34335765 PMCID: PMC8294990 DOI: 10.1155/2021/9994535] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 07/02/2021] [Indexed: 12/22/2022]
Abstract
Preclinical evaluation models have been developed for precision medicine, with patient-derived xenograft models (PDXs) and patient-derived organoids (PDOs) attracting increasing attention. However, each of these models has application limitations. In this study, an advanced xenograft model was established and used for drug screening. PDO and endothelial colony-forming cells (ECFCs) were cotransplanted in NRGA mice (PDOXwE) to prepare the model, which could also be subcultured in Balb/c nude mice. Our DNA sequencing analysis and immunohistochemistry results indicated that PDOXwE maintained patient genetic information and tumor heterogeneity. Moreover, the model enhanced tumor growth more than the PDO-bearing xenograft model (PDOX). The PDO, PDOXwE, and clinical data were also compared in the liver metastasis of a colorectal cancer patient, demonstrating that the chemosensitivity of PDO and PDOXwE coincided with the clinical data. These results suggest that PDOXwE is an improvement of PDOX and is suitable as an evaluation model for precision medicine.
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Nagaraja TN, deCarvalho AC, Brown SL, Griffith B, Farmer K, Irtenkauf S, Hasselbach L, Mukherjee A, Bartlett S, Valadie OG, Cabral G, Knight RA, Lee IY, Divine GW, Ewing JR. The impact of initial tumor microenvironment on imaging phenotype. Cancer Treat Res Commun 2021; 27:100315. [PMID: 33571801 PMCID: PMC8127413 DOI: 10.1016/j.ctarc.2021.100315] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 01/13/2021] [Accepted: 01/14/2021] [Indexed: 11/13/2022]
Abstract
Models of human cancer, to be useful, must replicate human disease with high fidelity. Our focus in this study is rat xenograft brain tumors as a model of human embedded cerebral tumors. A distinguishing signature of such tumors in humans, that of contrast-enhancement on imaging, is often not present when the human cells grow in rodents, despite the xenografts having nearly identical DNA signatures to the original tumor specimen. Although contrast enhancement was uniformly evident in all the human tumors from which the xenografts’ cells were derived, we show that long-term contrast enhancement in the model tumors may be determined conditionally by the tumor microenvironment at the time of cell implantation. We demonstrate this phenomenon in one of two patient-derived orthotopic xenograft (PDOX) models using cancer stem-like cell (CSC)-enriched neurospheres from human tumor resection specimens, transplanted to groups of immune-compromised rats in the presence or absence of a collagen/fibrin scaffolding matrix, Matrigel. The rats were imaged by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and their brains were examined by histopathology. Targeted proteomics of the PDOX tumor specimens grown from CSC implanted with and without Matrigel showed that while the levels of the majority of proteins and post-translational modifications were comparable between contrast-enhancing and non-enhancing tumors, phosphorylation of Fox038 showed a differential expression. The results suggest key proteins determine contrast enhancement and suggest a path toward the development of better animal models of human glioma. Future work is needed to elucidate fully the molecular determinants of contrast-enhancement.
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Affiliation(s)
| | | | - Stephen L Brown
- Department of Radiation Oncology, Henry Ford Hospital, Detroit, MI, United States; Department of Public Health, Henry Ford Hospital, Detroit, MI, United States
| | - Brent Griffith
- Department of Radiology, Henry Ford Hospital, Detroit, MI, United States
| | - Katelynn Farmer
- Department of Biomedical Engineering, Wayne State University, Detroit, MI, United States
| | - Susan Irtenkauf
- Department of Neurosurgery, Henry Ford Hospital, Detroit, MI
| | | | - Abir Mukherjee
- Department of Pathology, Henry Ford Hospital, Detroit, MI, United States
| | - Seamus Bartlett
- Department of Neurosurgery, Henry Ford Hospital, Detroit, MI; School of Medicine, Wayne State University, Detroit, MI, United States
| | - O Grahm Valadie
- Department of Radiation Oncology, Wayne State University, Detroit, MI, United States
| | - Glauber Cabral
- Department of Neurology, Henry Ford Hospital, Detroit, MI, United States
| | - Robert A Knight
- Department of Neurology, Henry Ford Hospital, Detroit, MI, United States; Department of Physics, Oakland University, Rochester, MI, United States
| | - Ian Y Lee
- Department of Neurosurgery, Henry Ford Hospital, Detroit, MI
| | - George W Divine
- Department of Public Health, Henry Ford Hospital, Detroit, MI, United States
| | - James R Ewing
- Department of Neurosurgery, Henry Ford Hospital, Detroit, MI; Department of Neurology, Henry Ford Hospital, Detroit, MI, United States; Department of Physics, Oakland University, Rochester, MI, United States; Department of Neurology, Wayne State University, Detroit, MI, United States
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8
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Generation of Glioblastoma Patient-Derived Intracranial Xenografts for Preclinical Studies. Int J Mol Sci 2020; 21:ijms21145113. [PMID: 32698368 PMCID: PMC7403971 DOI: 10.3390/ijms21145113] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 07/13/2020] [Accepted: 07/14/2020] [Indexed: 12/02/2022] Open
Abstract
Glioblastoma multiforme (GBM) is the most malignant primary brain cancer affecting adults. Therapeutic options for GBM have remained the same for over a decade with no significant improvement. Many therapies that are successful in culture have failed in patients, likely due to the complex microenvironment in the brain, which has yet to be reproduced in any culture model. Furthermore, the high passage number of cultured cells and clonal selection fail to recapitulate the molecular and genomic signatures of GBM. We have established orthotopic patient-derived xenografts (PDX) from 37 GBM patients with human GBM. Of the 69 patient samples analyzed, we were successful in passaging 37 lines three or more generations (53.6%). After phenotypic characterization of the xenografted tumor tissue, two different growth patterns emerged highly invasive or localized. The phenotype was dependent on malignancy and previous treatment of the patient from which the xenograft was derived. Physiologically, mice exhibited symptoms more quickly with each subsequent passage, particularly in the localized tumors. Study of these physiologically relevant human xenografts in mice will enable therapeutic screenings in a microenvironment that more closely resembles GBM and may allow development of individualized patient models which may eventually be used for simulating treatment.
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9
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Ramzy GM, Koessler T, Ducrey E, McKee T, Ris F, Buchs N, Rubbia-Brandt L, Dietrich PY, Nowak-Sliwinska P. Patient-Derived In Vitro Models for Drug Discovery in Colorectal Carcinoma. Cancers (Basel) 2020; 12:cancers12061423. [PMID: 32486365 PMCID: PMC7352800 DOI: 10.3390/cancers12061423] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2020] [Revised: 05/26/2020] [Accepted: 05/28/2020] [Indexed: 02/07/2023] Open
Abstract
Lack of relevant preclinical models that reliably recapitulate the complexity and heterogeneity of human cancer has slowed down the development and approval of new anti-cancer therapies. Even though two-dimensional in vitro culture models remain widely used, they allow only partial cell-to-cell and cell-to-matrix interactions and therefore do not represent the complex nature of the tumor microenvironment. Therefore, better models reflecting intra-tumor heterogeneity need to be incorporated in the drug screening process to more reliably predict the efficacy of drug candidates. Classic methods of modelling colorectal carcinoma (CRC), while useful for many applications, carry numerous limitations. In this review, we address the recent advances in in vitro CRC model systems, ranging from conventional CRC patient-derived models, such as conditional reprogramming-based cell cultures, to more experimental and state-of-the-art models, such as cancer-on-chip platforms or liquid biopsy.
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Affiliation(s)
- George M. Ramzy
- Molecular Pharmacology Group, School of Pharmaceutical Sciences, Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, 1211 Geneva, Switzerland; (G.M.R.); (E.D.)
- Translational Research Center in Oncohaematology, University of Geneva, 1211 Geneva, Switzerland
| | - Thibaud Koessler
- Department of Oncology, Geneva University Hospitals, 1211 Geneva, Switzerland; (T.K.); (P.-Y.D.)
| | - Eloise Ducrey
- Molecular Pharmacology Group, School of Pharmaceutical Sciences, Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, 1211 Geneva, Switzerland; (G.M.R.); (E.D.)
- Translational Research Center in Oncohaematology, University of Geneva, 1211 Geneva, Switzerland
| | - Thomas McKee
- Division of Clinical Pathology, Diagnostic Department, University Hospitals of Geneva (HUG), 1211 Geneva, Switzerland; (T.M.); (L.R.-B.)
| | - Frédéric Ris
- Translational Department of Digestive and Transplant Surgery, Faculty of Medicine, Geneva University Hospitals, 1211 Geneva, Switzerland; (F.R.); (N.B.)
| | - Nicolas Buchs
- Translational Department of Digestive and Transplant Surgery, Faculty of Medicine, Geneva University Hospitals, 1211 Geneva, Switzerland; (F.R.); (N.B.)
| | - Laura Rubbia-Brandt
- Division of Clinical Pathology, Diagnostic Department, University Hospitals of Geneva (HUG), 1211 Geneva, Switzerland; (T.M.); (L.R.-B.)
| | - Pierre-Yves Dietrich
- Department of Oncology, Geneva University Hospitals, 1211 Geneva, Switzerland; (T.K.); (P.-Y.D.)
| | - Patrycja Nowak-Sliwinska
- Molecular Pharmacology Group, School of Pharmaceutical Sciences, Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, 1211 Geneva, Switzerland; (G.M.R.); (E.D.)
- Translational Research Center in Oncohaematology, University of Geneva, 1211 Geneva, Switzerland
- Correspondence: ; Tel.: +41-22-379-3352
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10
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Wang CF, Shi XJ. Generation and application of patient-derived xenograft models in pancreatic cancer research. Chin Med J (Engl) 2019; 132:2729-2736. [PMID: 31725451 PMCID: PMC6940092 DOI: 10.1097/cm9.0000000000000524] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE Pancreatic ductal adenocarcinoma cancer (PDAC) is one of the leading causes of cancer-related death worldwide. Hence, the development of effective anti-PDAC therapies is urgently required. Patient-derived xenograft (PDX) models are useful models for developing anti-cancer therapies and screening drugs for precision medicine. This review aimed to provide an updated summary of using PDX models in PDAC. DATA SOURCES The author retrieved information from the PubMed database up to June 2019 using various combinations of search terms, including PDAC, pancreatic carcinoma, pancreatic cancer, patient-derived xenografts or PDX, and patient-derived tumor xenografts or PDTX. STUDY SELECTION Original articles and review articles relevant to the review's theme were selected. RESULTS PDX models are better than cell line-derived xenograft and other models. PDX models consistently demonstrate retained tumor morphology and genetic stability, are beneficial in cancer research, could enhance drug discovery and oncologic mechanism development of PDAC, allow an improved understanding of human cancer cell biology, and help guide personalized treatment. CONCLUSIONS In this review, we outline the status and application of PDX models in both basic and pre-clinical pancreatic cancer researches. PDX model is one of the most appropriate pre-clinical tools that can improve the prognosis of patients with pancreatic cancer in the future.
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Affiliation(s)
- Cheng-Fang Wang
- Department of Hepato-Biliary Surgery, The General Hospital of People's Liberation Army (301 hospital), Beijing 100853, China
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11
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Wen C, Wang H, Wu X, He L, Zhou Q, Wang F, Chen S, Huang L, Chen J, Wang H, Ye W, Li W, Yang X, Liu H, Peng J. ROS-mediated inactivation of the PI3K/AKT pathway is involved in the antigastric cancer effects of thioredoxin reductase-1 inhibitor chaetocin. Cell Death Dis 2019; 10:809. [PMID: 31649256 PMCID: PMC6813365 DOI: 10.1038/s41419-019-2035-x] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2019] [Revised: 07/17/2019] [Accepted: 08/02/2019] [Indexed: 12/24/2022]
Abstract
Novel drugs are urgently needed for gastric cancer (GC) treatment. The thioredoxin-thioredoxin reductase (TRX-TRXR) system has been found to play a critical role in GC tumorigenesis and progression. Thus, agents that target the TRX-TRXR system may be highly efficacious as GC treatments. In this study, we showed that chaetocin, a natural product isolated from the Chaetomium species of fungi, inhibited proliferation, induced G2/M phase arrest and caspase-dependent apoptosis in both in vitro and in vivo models (cell xenografts and patient-derived xenografts) of GC. Chaetocin inactivated TRXR-1, resulting in the accumulation of reactive oxygen species (ROS) in GC cells; overexpression of TRX-1 as well as cotreatment of GC cells with the ROS scavenger N-acetyl-L-cysteine attenuated chaetocin-induced apoptosis; chaetocin-induced apoptosis was significantly increased when GC cells were cotreated with auranofin. Moreover, chaetocin was shown to inactivate the PI3K/AKT pathway by inducing ROS generation; AKT-1 overexpression also attenuated chaetocin-induced apoptosis. Taken together, these results reveal that chaetocin induces the excessive accumulation of ROS via inhibition of TRXR-1. This is followed by PI3K/AKT pathway inactivation, which ultimately inhibits proliferation and induces caspase-dependent apoptosis in GC cells. Chaetocin therefore may be a potential agent for GC treatment.
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Affiliation(s)
- Chuangyu Wen
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.,Department of Gastrointestinal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Huihui Wang
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.,Department of Clinical Laboratory, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Xiaobin Wu
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.,Department of Gastrointestinal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Lu He
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Qian Zhou
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.,Department of Gastrointestinal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Fang Wang
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Siyu Chen
- Guangdong Laboratory Animals Monitoring Institute, Guangdong Key Laboratory Animal Lab, Guangzhou, Guangdong, China
| | - Lanlan Huang
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Junxiong Chen
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.,Department of Clinical Laboratory, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Huashe Wang
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.,Department of Gastrointestinal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Weibiao Ye
- Dongguan Hospital of Southern Medical University, Guangzhou, Guangdong, China
| | - Wende Li
- Guangdong Laboratory Animals Monitoring Institute, Guangdong Key Laboratory Animal Lab, Guangzhou, Guangdong, China
| | - Xiangling Yang
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Huanliang Liu
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China. .,Department of Clinical Laboratory, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
| | - Junsheng Peng
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China. .,Department of Gastrointestinal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China. .,School of Nursing, Sun Yat-sen University, Guangzhou, Guangdong, China.
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12
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Liu X, Song M, Wang P, Zhao R, Chen H, Zhang M, Shi Y, Liu K, Liu F, Yang R, Li E, Bode AM, Dong Z, Lee M. Targeted therapy of the AKT kinase inhibits esophageal squamous cell carcinoma growth in vitro and in vivo. Int J Cancer 2019; 145:1007-1019. [PMID: 30887517 PMCID: PMC6618024 DOI: 10.1002/ijc.32285] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Revised: 02/10/2019] [Accepted: 03/12/2019] [Indexed: 02/05/2023]
Abstract
Esophageal cancer, a leading cause of cancer death worldwide, is associated with abnormal activation of the AKT signaling pathway. Xanthohumol, a prenylated flavonoid tested in clinical trials, is reported to exert anti-diabetes, anti-inflammation and anticancer activities. However, the mechanisms underlying its chemopreventive or chemotherapeutic effects remain elusive. In the present study, we found that xanthohumol directly targeted AKT1/2 in esophageal squamous cell carcinoma (ESCC). Xanthohumol significantly inhibited the AKT kinase activity in an ATP competitive manner, which was confirmed in binding and computational docking models. KYSE70, 450 and 510 ESCC cell lines highly express AKT and knockdown of AKT1/2 suppressed proliferation of these cells. Treatment with xanthohumol inhibited ESCC cell growth and induced apoptosis and cell cycle arrest at the G1 phase. Xanthohumol also decreased expression of cyclin D1 and increased the levels of cleaved caspase-3, -7 and -PARP as well as Bax, Bims and cytochrome c in ESCC cells by downregulating AKT signaling targets, including glycogen synthase kinase 3 beta (GSK3β), mammalian target of rapamycin, and ribosomal protein S6 (S6K). Furthermore, xanthohumol decreased tumor volume and weight in patient-derived xenografts (PDXs) that highly expressed AKT, but had no effect on PDXs that exhibited low expression of AKT in vivo. Kinase array results showed that xanthohumol treatment decreased phosphorylated p27 expression in both ESCC cell lines and PDX models. Taken together, our data suggest that the inhibition of ESCC tumor growth with xanthohumol is caused by targeting AKT. These results provide good evidence for translation toward clinical trials with xanthohumol.
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Affiliation(s)
- Xuejiao Liu
- School of Basic Medical SciencesZhengzhou UniversityZhengzhouHenanChina
- China‐US (Henan) Hormel Cancer InstituteZhengzhouHenanChina
| | - Mengqiu Song
- School of Basic Medical SciencesZhengzhou UniversityZhengzhouHenanChina
- China‐US (Henan) Hormel Cancer InstituteZhengzhouHenanChina
| | - Penglei Wang
- School of Basic Medical SciencesZhengzhou UniversityZhengzhouHenanChina
- China‐US (Henan) Hormel Cancer InstituteZhengzhouHenanChina
| | - Ran Zhao
- School of Basic Medical SciencesZhengzhou UniversityZhengzhouHenanChina
- China‐US (Henan) Hormel Cancer InstituteZhengzhouHenanChina
| | - Hanyong Chen
- The Hormel Institute, University of MinnesotaAustinMinnesota
| | - Man Zhang
- China‐US (Henan) Hormel Cancer InstituteZhengzhouHenanChina
| | - Yuanyuan Shi
- China‐US (Henan) Hormel Cancer InstituteZhengzhouHenanChina
| | - Kangdong Liu
- School of Basic Medical SciencesZhengzhou UniversityZhengzhouHenanChina
- China‐US (Henan) Hormel Cancer InstituteZhengzhouHenanChina
- The Collaborative Innovation Center of Henan Province for Cancer ChemopreventionZhengzhouHenanChina
| | - Fangfang Liu
- School of Basic Medical SciencesZhengzhou UniversityZhengzhouHenanChina
- China‐US (Henan) Hormel Cancer InstituteZhengzhouHenanChina
| | - Ran Yang
- China‐US (Henan) Hormel Cancer InstituteZhengzhouHenanChina
| | - Enmin Li
- Department of Biochemistry and Molecular BiologyShantou University Medical CollegeShantouGuangdongChina
| | - Ann M. Bode
- The Hormel Institute, University of MinnesotaAustinMinnesota
| | - Zigang Dong
- School of Basic Medical SciencesZhengzhou UniversityZhengzhouHenanChina
- China‐US (Henan) Hormel Cancer InstituteZhengzhouHenanChina
- The Hormel Institute, University of MinnesotaAustinMinnesota
- The Collaborative Innovation Center of Henan Province for Cancer ChemopreventionZhengzhouHenanChina
| | - Mee‐Hyun Lee
- School of Basic Medical SciencesZhengzhou UniversityZhengzhouHenanChina
- China‐US (Henan) Hormel Cancer InstituteZhengzhouHenanChina
- The Hormel Institute, University of MinnesotaAustinMinnesota
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13
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Jeon J, Cheong JH. Clinical Implementation of Precision Medicine in Gastric Cancer. J Gastric Cancer 2019; 19:235-253. [PMID: 31598369 PMCID: PMC6769368 DOI: 10.5230/jgc.2019.19.e25] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Accepted: 07/28/2019] [Indexed: 12/24/2022] Open
Abstract
Gastric cancer (GC) is one of the deadliest malignancies in the world. Currently, clinical treatment decisions are mostly made based on the extent of the tumor and its anatomy, such as tumor-node-metastasis staging. Recent advances in genome-wide molecular technology have enabled delineation of the molecular characteristics of GC. Based on this, efforts have been made to classify GC into molecular subtypes with distinct prognosis and therapeutic response. Simplified algorithms based on protein and RNA expressions have been proposed to reproduce the GC classification in the clinical field. Furthermore, a recent study established a single patient classifier (SPC) predicting the prognosis and chemotherapy response of resectable GC patients based on a 4-gene real-time polymerase chain reaction assay. GC patient stratification according to SPC will enable personalized therapeutic strategies in adjuvant settings. At the same time, patient-derived xenografts and patient-derived organoids are now emerging as novel preclinical models for the treatment of GC. These models recapitulate the complex features of the primary tumor, which is expected to facilitate both drug development and clinical therapeutic decision making. An integrated approach applying molecular patient stratification and patient-derived models in the clinical realm is considered a turning point in precision medicine in GC.
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Affiliation(s)
- Jaewook Jeon
- Yonsei University College of Medicine, Seoul, Korea
| | - Jae-Ho Cheong
- Department of Surgery, Yonsei University College of Medicine, Seoul, Korea.,Yonsei Biomedical Research Institute, Yonsei University College of Medicine, Seoul, Korea.,Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea.,Department of Biochemistry & Molecular Biology, Yonsei University College of Medicine, Seoul, Korea.,Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Korea
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