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Ran P, Tan T, Li J, Yang H, Li J, Zhang J. Advanced gastrointestinal stromal tumor: reliable classification of imatinib plasma trough concentration via machine learning. BMC Cancer 2024; 24:264. [PMID: 38402382 PMCID: PMC10894477 DOI: 10.1186/s12885-024-11930-6] [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: 09/26/2023] [Accepted: 01/29/2024] [Indexed: 02/26/2024] Open
Abstract
AIM Patients with advanced gastrointestinal stromal tumors (GISTs) exhibiting an imatinib plasma trough concentration (IM Cmin) under 1100 ng/ml may show a reduced drug response rate, leading to the suggestion of monitoring for IM Cmin. Consequently, the objective of this research was to create a customized IM Cmin classification model for patients with advanced GISTs from China. METHODS Initial data and laboratory indicators from patients with advanced GISTs were gathered, and the above information was segmented into a training set, validation set, and testing set in a 6:2:2 ratio. Key variables associated with IM Cmin were identified to construct the classification model using the least absolute shrinkage and selection operator (LASSO) regression and forward stepwise binary logistic regression. Within the training and validation sets, nine ML classification models were constructed via the resampling method and underwent comparison through the Brier scores, the areas under the receiver-operating characteristic curve (AUROC), the decision curve, and the precision-recall (AUPR) curve to determine the most suitable model for this dataset. Two methods of internal validation were used to assess the most suitable model's classification performance: tenfold cross-validation and random split-sample validation (test set), and the value of the test set AUROC was used to evaluate the model's classification performance. RESULTS Six key variables (gender, daily IM dose, metastatic site, red blood cell count, platelet count, and percentage of neutrophils) were ultimately selected to construct the classification model. In the validation set, it is found by comparison that the Extreme Gradient Boosting (XGBoost) model has the largest AUROC, the lowest Brier score, the largest area under the decision curve, and the largest AUPR value. Furthermore, as evaluated via internal verification, it also performed well in the test set (AUROC = 0.725). CONCLUSION For patients with advanced GISTs who receive IM, initial data and laboratory indicators could be used to accurately estimate whether the IM Cmin is below 1100 ng/ml. The XGBoost model may stand a chance to assist clinicians in directing the administration of IM.
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Affiliation(s)
- Pan Ran
- Department of Gastrointestinal Surgery, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Tao Tan
- Department of Gastrointestinal Surgery, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Jinjin Li
- Department of Gastrointestinal Surgery, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Hao Yang
- Department of Internal Medicine, Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, 400030, China
| | - Juan Li
- Department of Pharmacy, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
| | - Jun Zhang
- Department of Gastrointestinal Surgery, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
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Chen Y, Zhang R, Mi D, Wang Q, Huang T, Dong X, Zhang H, Xiao H, Shi S. SPK1/S1P axis confers gastrointestinal stromal tumors (GISTs) resistance of imatinib. Gastric Cancer 2023; 26:26-43. [PMID: 35999321 PMCID: PMC9398498 DOI: 10.1007/s10120-022-01332-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 08/08/2022] [Indexed: 02/07/2023]
Abstract
BACKGROUND Imatinib mesylate (IM) is highly effective in the treatment of gastrointestinal stromal tumors (GISTs). However, the most of GISTs patients develop secondary drug resistance after 1-3 years of IM treatment. The aim of this study was to explore the IM-resistance mechanism via the multi-scope combined with plasma concentration of IM, genetic polymorphisms and plasma sensitive metabolites. METHODS This study included a total of 40 GISTs patients who had been regularly treated and not treated with IM. The plasma samples were divided into three experiments, containing therapeutic drug monitoring (TDM), OCT1 genetic polymorphisms and non-targeted metabolomics. According to the data of above three experiments, the IM-resistant cell line, GIST-T1/IMR cells, was constructed for verification the IM-resistance mechanism. RESULTS The results of non-targeted metabolomics analysis suggested that the sphingophospholipid metabolic pathway including the SPK1/S1P axis was inferred in IM-insensitive patients with GISTs. A GIST cell line (GIST-T1) was immediately induced as an IM resistance cell model (GIST-T1/IMR) and we found that blocking the signal pathway of SPK1/S1P in the GIST-T1/IMR could sensitize treatment of IM and reverse the IM-resistance. CONCLUSIONS Our findings suggest that IM secondary resistance is associated with the elevation of S1P, and blockage the signaling pathway of SPK1/S1P warrants evaluation as a potential therapeutic strategy in IM-resistant GISTs. The design of this study from blood management, group information collection, IM plasma concentration with different elements, identification of sphingolipid metabolism and lastly verification the function of SPK1/S1P in the IM-resistance GISTs cells.
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Affiliation(s)
- Yan Chen
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, No.1166 Liutai Avenue, Chengdu, 611137, People's Republic of China
- Department of Clinical Pharmacy, School of Medicine, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, 610042, People's Republic of China
| | - Rui Zhang
- Department of Clinical Pharmacy, School of Medicine, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, 610042, People's Republic of China
| | - Dandan Mi
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, No.1166 Liutai Avenue, Chengdu, 611137, People's Republic of China
| | - Qiuju Wang
- Department of Clinical Laboratory, School of Medicine, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, 610042, People's Republic of China
| | - Tingwenli Huang
- Department of Clinical Pharmacy, School of Medicine, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, 610042, People's Republic of China
| | - Xinwei Dong
- Department of Clinical Pharmacy, Nantong Tumor Hospital, Nantong, 226300, People's Republic of China
| | - Hongwei Zhang
- Department of Anesthesiology, School of Medicine, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, 610042, People's Republic of China
| | - Hongtao Xiao
- Department of Clinical Pharmacy, School of Medicine, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, 610042, People's Republic of China
| | - Sanjun Shi
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, No.1166 Liutai Avenue, Chengdu, 611137, People's Republic of China.
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Chen Y, Dong X, Wang Q, Liu Z, Dong X, Shi S, Xiao H. Factors Influencing the Steady-State Plasma Concentration of Imatinib Mesylate in Patients With Gastrointestinal Stromal Tumors and Chronic Myeloid Leukemia. Front Pharmacol 2020; 11:569843. [PMID: 33381028 PMCID: PMC7768902 DOI: 10.3389/fphar.2020.569843] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 10/12/2020] [Indexed: 12/18/2022] Open
Abstract
Imatinib mesylate (IM) is the standard treatment for advanced, metastatic gastrointestinal stromal tumors (GISTs) and chronic myeloid leukemia (CML) with a fixed daily standard dosage via the oral route. Interindividual and intraindividual variability in plasma concentrations have been closely linked to the efficacy of IM therapy. Therefore, this review identifies and describes the key factors influencing the plasma concentration of IM in patients with GISTs and CML. We used the following keywords to search the PubMed, EMBASE, Ovid, Wangfang, and CNKI databases to identify published reports: IM, plasma concentration, GISTs, CML, drug combination/interaction, pathology, and genotype/genetic polymorphism, either alone or in combination. This literature review revealed that only 10 countries have reported the mean concentrations of IM in GISTs or CML patients and the clinical outcomes in different ethnic groups and populations. There were totally 24 different gene polymorphisms, which were examined for any potential influence on the steady-state plasma concentration of IM. As a result, some genotype locus made discrepant conclusion. Herein, the more sample capacity, multicenter, long-term study was worthy to carry out. Eleven reports were enumerated on clinical drug interactions with IM, while there is not sufficient information on the pharmacokinetic parameters altered by drug combinations with IM that could help in investigating the actual drug interactions. The drug interaction with IM should be paid more attention in the future research.
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Affiliation(s)
- Yan Chen
- Department of Clinical Pharmacy, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiuhua Dong
- Department of Stomatology, The 1st Affiliated Hospital of Chengdu Medical College, Chengdu, China
| | - QiuJu Wang
- Department of Clinical Laboratory, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - ZhiXi Liu
- Department of Clinical Pharmacy, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - XinWei Dong
- Department of Pharmacy, Chengdu Medical College, Chengdu, China
| | - Sanjun Shi
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - HongTao Xiao
- Department of Clinical Pharmacy, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.,Personalized Drug Therapy Key Laboratory of Sichuan Province, Chengdu, China
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Wu X, Li J, Zhou Y, Mao Y, Luo S, He X, Wang L, Shen Y, Zhang H, Yang L, Zhang J. Relative Factors Analysis of Imatinib Trough Concentration in Chinese Patients with Gastrointestinal Stromal Tumor. Chemotherapy 2019; 63:301-307. [PMID: 30836365 DOI: 10.1159/000493195] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2018] [Accepted: 08/24/2018] [Indexed: 11/19/2022]
Abstract
AIMS Imatinib plasma trough levels (IM Cmin) have been reported to have a considerable clinical impact in patients with gastrointestinal stromal tumors (GISTs). We therefore have investigated the factors affecting IM plasma concentration in Chinese GIST patients. METHODS IM Cmin in 190 patients with GIST who were taking IM were measured. RESULTS In patients treated with IM 300 mg/day (n = 16), 400 mg/day (n = 168), and > 400 mg/day (500: n = 1, 600: n = 5), IM Cmin was 1,564.54 ± 596.15, 1,521.26 ± 610.33, and 2,540.31 ± 1,298.14 ng/mL, respectively. Of the 168 patients treated with IM 400 mg/day, IM Cmin was significantly lower in males (1,353.94 ± 492.89 ng/mL) than in females (1,680.79 ± 669.03 ng/mL, p < 0.01), and in patients with gastrectomy (1,439.60 ± 587.66 ng/mL) than those without gastrectomy (1,649.88 ± 620.12 ng/mL) (p = 0.033). High IM Cmin was correlated with low body weight (p = 0.004) and low body surface area (p < 0.001). CONCLUSION IM Cmin at steady state was significantly associated with body weight and body surface area. Monitoring of IM Cmin might be particularly important for the optimal treatment with IM of male patients and those who have undergone gastrectomy.
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Affiliation(s)
- Xingye Wu
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Juan Li
- Department of Pharmacy, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yi Zhou
- Department of Pharmacy, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yun Mao
- Department of Imaging, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Shiqiao Luo
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xuemei He
- Department of Ultrasound, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Li Wang
- Department of Gastroenterology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yifan Shen
- The Center for Clinical Molecular Medical Detection of Chongqing, Chongqing, China
| | - Hua Zhang
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Longwei Yang
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jun Zhang
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China,
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Treatment outcomes in older patients with advanced gastrointestinal stromal tumor (GIST). J Geriatr Oncol 2018; 9:520-525. [PMID: 29602734 DOI: 10.1016/j.jgo.2018.03.009] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2017] [Revised: 02/25/2018] [Accepted: 03/16/2018] [Indexed: 12/19/2022]
Abstract
BACKGROUND The aim of the study was to analyze the treatment results of advanced GIST in the largest, homogenous series of older patients. METHODS Between 2001 and 2016, 686 patients with metastatic/unresectable GIST were treated initially with imatinib and 656 were included in the analysis. Subsequently 232 patients were treated with sunitinib after imatinib failure. We have analyzed the outcomes of patients who have been treated with the tyrosine kinase inhibitor at the age ≥ 70 years and compared to control group of patients younger than 70 years old. RESULTS In the group of patients treated with imatinib, 139 (21%) started therapy at the age of at least 70 years (median age of the entire cohort: 60). Median progression-free survival (PFS) on 1st line imatinib did not differ between patients ≥70 yo (years old) and < 70yo (38.5 vs 44.9 months), but median overall survival (OS) was significantly better for younger patients (81 months vs. 50; p = 0.0001; although disease-specific survival - DSS was similar). Distribution of primary tumor mutational status was generally similar in older and younger patients. Permanent dose reduction (300-100 mg/day) was required for 23 patients (16.9%) in the older group and was significantly more frequent as compared to younger patients (5%). Drug-related adverse events were mainly of grades 1/2, but grade 3/4 toxicity occurred more frequently in older (14.7%) than in younger patients (3.8%). Similarly in group of patients treated with second-line sunitinib median PFS and DSS were comparable in groups of patients ≥70 yo (n = 55) and < 70yo (9.7 months vs 10.3 months; p = 0.7, and 21.5 vs 22.9 months). >40% of patients in both groups required dose adjustments to 37.5-25 mg daily. CONCLUSIONS Our study confirms that current therapy of advanced GIST with tyrosine kinase inhibitors (both in 1st and 2nd line) in older patients enable to achieve the similar disease control rate and final outcomes as in younger patients, but it demands close cooperation of experienced oncologist with patients for dose modifications and side effects management. Limitation of our study is that the patients did not undergo a comprehensive geriatric assessment, what might be helpful for personalized management of patients. Nevertheless, we confirm that older patients with GIST should not receive less treatment irrespective of comorbidities.
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Neuzillet C, de Mestier L, Rousseau B, Mir O, Hebbar M, Kocher HM, Ruszniewski P, Tournigand C. Unravelling the pharmacologic opportunities and future directions for targeted therapies in gastro-intestinal cancers part 2: Neuroendocrine tumours, hepatocellular carcinoma, and gastro-intestinal stromal tumours. Pharmacol Ther 2017; 181:49-75. [PMID: 28723416 DOI: 10.1016/j.pharmthera.2017.07.006] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Until the 1990s, cytotoxic chemotherapy has been the cornerstone of medical therapy for gastrointestinal (GI) cancers. Better understanding of the cancer cell molecular biology has led to the therapeutic revolution of targeted therapies, i.e. monoclonal antibodies or small molecule inhibitors directed against proteins that are specifically overexpressed or mutated in cancer cells. These agents, being more specific to cancer cells, were expected to be less toxic than conventional cytotoxic agents. However, their effects have sometimes been disappointing, due to intrinsic or acquired resistance mechanisms, or to an activity restricted to some tumour settings, illustrating the importance of patient selection and early identification of predictive biomarkers of response to these therapies. Targeted agents have provided clinical benefit in many GI cancer types. Particularly, some GI tumours are considered chemoresistant and targeted therapies have offered a new therapeutic base for their management. Hence, somatostatin receptor-directed strategies, sorafenib, and imatinib have revolutioned the management of neuroendocrine tumours (NET), hepatocellular carcinoma (HCC), and gastrointestinal stromal tumours (GIST), respectively, and are now used as first-line treatment in many patients affected by these tumours. However, these agents face problems of resistances and identification of predictive biomarkers from imaging and/or biology. We propose a comprehensive two-part review providing a panoramic approach of the successes and failures of targeted agents in GI cancers to unravel the pharmacologic opportunities and future directions for these agents in GI oncology. In this second part, we will focus on NET, HCC, and GIST, whose treatment relies primarily on targeted therapies.
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Affiliation(s)
- Cindy Neuzillet
- INSERM UMR1149, Beaujon University Hospital (Assistance Publique-Hôpitaux de Paris, AP-HP), Paris 7 Diderot University, 100 Boulevard du Général Leclerc, 92110 Clichy, France; Department of Medical Oncology, Henri Mondor University Hospital (AP-HP), Paris Est Créteil University (UPEC), 51 Avenue du Maréchal de Lattre de Tassigny, 94010 Créteil, France; Tumour Biology Laboratory, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, United Kingdom; Barts and The London HPB Centre, The Royal London Hospital, Whitechapel, London E1 1BB, United Kingdom.
| | - Louis de Mestier
- INSERM UMR1149, Beaujon University Hospital (Assistance Publique-Hôpitaux de Paris, AP-HP), Paris 7 Diderot University, 100 Boulevard du Général Leclerc, 92110 Clichy, France; Department of Gastroenterology and Pancreatology, Beaujon University Hospital (AP-HP), Paris 7 Diderot University, 100 Boulevard du Général Leclerc, 92110 Clichy, France
| | - Benoît Rousseau
- Department of Medical Oncology, Henri Mondor University Hospital (AP-HP), Paris Est Créteil University (UPEC), 51 Avenue du Maréchal de Lattre de Tassigny, 94010 Créteil, France; Institut Mondor de Recherche Biomédicale, INSERM UMR955 Team 18, Paris Est Créteil University (UPEC), 51 Avenue du Maréchal de Lattre de Tassigny, 94010 Créteil, France
| | - Olivier Mir
- Department of Cancer Medicine - Sarcoma Group, Department of Early Drug Development (DITEP) - Phase 1 Unit, Gustave Roussy Cancer Campus, University of Paris Sud, 114, Rue Edouard Vaillant, 94800 Villejuif, France
| | - Mohamed Hebbar
- Department of Medical Oncology, Lille University Hospital, 1, Rue Polonovski, 59037 Lille, France
| | - Hemant M Kocher
- Tumour Biology Laboratory, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, United Kingdom; Barts and The London HPB Centre, The Royal London Hospital, Whitechapel, London E1 1BB, United Kingdom
| | - Philippe Ruszniewski
- INSERM UMR1149, Beaujon University Hospital (Assistance Publique-Hôpitaux de Paris, AP-HP), Paris 7 Diderot University, 100 Boulevard du Général Leclerc, 92110 Clichy, France
| | - Christophe Tournigand
- Department of Medical Oncology, Henri Mondor University Hospital (AP-HP), Paris Est Créteil University (UPEC), 51 Avenue du Maréchal de Lattre de Tassigny, 94010 Créteil, France
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