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Meng Q, Zhang Y, Sun H, Yang X, Hao S, Liu B, Zhou H, Wang Y, Xu ZX. Human papillomavirus-16 E6 activates the pentose phosphate pathway to promote cervical cancer cell proliferation by inhibiting G6PD lactylation. Redox Biol 2024; 71:103108. [PMID: 38457903 PMCID: PMC10937312 DOI: 10.1016/j.redox.2024.103108] [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: 02/17/2024] [Accepted: 02/29/2024] [Indexed: 03/10/2024] Open
Abstract
High-risk human papillomaviruses (HPVs) are the causative agents of cervical cancer. Here, we report that HPV16 E6E7 promotes cervical cancer cell proliferation by activating the pentose phosphate pathway (PPP). We found that HPV16 E6 activates the PPP primarily by increasing glucose-6-phosphate dehydrogenase (G6PD) enzyme activity. Mechanistically, HPV16 E6 promoted G6PD dimer formation by inhibiting its lactylation. Importantly, we suggest that G6PD K45 was lactylated during G6PD-mediated antioxidant stress. In primary human keratinocytes and an HPV-negative cervical cancer C33A cells line ectopically expressing HPV16 E6, the transduction of G6PD K45A (unable to be lactylated) increased GSH and NADPH levels and, correspondingly, decreasing ROS levels. Conversely, the re-expression of G6PD K45T (mimicking constitutive lactylation) in HPV16-positive SiHa cells line inhibited cell proliferation. In vivo, the inhibition of G6PD enzyme activity with 6-aminonicotinamide (6-An) or the re-expression of G6PD K45T inhibited tumor proliferation. In conclusion, we have revealed a novel mechanism of HPV oncoprotein-mediated malignant transformation. These findings might provide effective strategies for treating cervical and HPV-associated cancers.
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Affiliation(s)
- Qingfei Meng
- Key Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun, 130021, China
| | - Yanghe Zhang
- Key Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun, 130021, China
| | - Huihui Sun
- Key Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun, 130021, China
| | - Xiangzhe Yang
- Key Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun, 130021, China
| | - Shiming Hao
- Key Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun, 130021, China
| | - Bin Liu
- Department of Urology, The First Hospital of Jilin University, Changchun, 130021, China
| | - Honglan Zhou
- Department of Urology, The First Hospital of Jilin University, Changchun, 130021, China.
| | - Yishu Wang
- Key Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun, 130021, China.
| | - Zhi-Xiang Xu
- Key Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun, 130021, China; Department of Urology, The First Hospital of Jilin University, Changchun, 130021, China; School of Life Sciences, Henan University, Kaifeng, 475000, China.
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Liu X, Yu J, Li Y, Shi H, Jiao X, Liu X, Guo D, Li Z, Tian Y, Dai F, Niu Z, Zhou Y. Deciphering the tumor immune microenvironment of imatinib-resistance in advanced gastrointestinal stromal tumors at single-cell resolution. Cell Death Dis 2024; 15:190. [PMID: 38443340 PMCID: PMC10914684 DOI: 10.1038/s41419-024-06571-3] [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: 10/30/2023] [Revised: 02/16/2024] [Accepted: 02/21/2024] [Indexed: 03/07/2024]
Abstract
The heterogeneous nature of tumors presents a considerable obstacle in addressing imatinib resistance in advanced cases of gastrointestinal stromal tumors (GIST). To address this issue, we conducted single-cell RNA-sequencing in primary tumors as well as peritoneal and liver metastases from patients diagnosed with locally advanced or advanced GIST. Single-cell transcriptomic signatures of tumor microenvironment (TME) were analyzed. Immunohistochemistry and multiplex immunofluorescence staining were used to further validate it. This analysis revealed unique tumor evolutionary patterns, transcriptome features, dynamic cell-state changes, and different metabolic reprogramming. The findings indicate that in imatinib-resistant TME, tumor cells with activated immune and cytokine-mediated immune responses interacted with a higher proportion of Treg cells via the TIGIT-NECTIN2 axis. Future immunotherapeutic strategies targeting Treg may provide new directions for the treatment of imatinib-resistant patients. In addition, IDO1+ dendritic cells (DC) were highly enriched in imatinib-resistant TME, interacting with various myeloid cells via the BTLA-TNFRSF14 axis, while the interaction was not significant in imatinib-sensitive TME. Our study highlights the transcriptional heterogeneity and distinct immunosuppressive microenvironment of advanced GIST, which provides novel therapeutic strategies and innovative immunotherapeutic agents for imatinib resistance.
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Affiliation(s)
- Xuechao Liu
- Department of General Surgery, Affiliated Hospital of Qingdao University, 16# Jiangsu Road, Qingdao, Shandong, China
| | - Jing Yu
- School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Yi Li
- Department of General Surgery, Affiliated Hospital of Qingdao University, 16# Jiangsu Road, Qingdao, Shandong, China
| | - Hailei Shi
- Pathology Department, Affiliated Hospital of Qingdao University, 16# Jiangsu Road, Qingdao, Shandong, China
| | - Xuelong Jiao
- Department of General Surgery, Affiliated Hospital of Qingdao University, 16# Jiangsu Road, Qingdao, Shandong, China
| | - Xiaodong Liu
- Department of General Surgery, Affiliated Hospital of Qingdao University, 16# Jiangsu Road, Qingdao, Shandong, China
| | - Dong Guo
- Department of General Surgery, Affiliated Hospital of Qingdao University, 16# Jiangsu Road, Qingdao, Shandong, China
| | - Zequn Li
- Department of General Surgery, Affiliated Hospital of Qingdao University, 16# Jiangsu Road, Qingdao, Shandong, China
| | - Yulong Tian
- Department of General Surgery, Affiliated Hospital of Qingdao University, 16# Jiangsu Road, Qingdao, Shandong, China
| | - Fan Dai
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, Institute of Crop Science, Plant Precision Breeding Academy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
| | - Zhaojian Niu
- Department of General Surgery, Affiliated Hospital of Qingdao University, 16# Jiangsu Road, Qingdao, Shandong, China.
| | - Yanbing Zhou
- Department of General Surgery, Affiliated Hospital of Qingdao University, 16# Jiangsu Road, Qingdao, Shandong, China.
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Zhou S, Abdihamid O, Tan F, Zhou H, Liu H, Li Z, Xiao S, Li B. KIT mutations and expression: current knowledge and new insights for overcoming IM resistance in GIST. Cell Commun Signal 2024; 22:153. [PMID: 38414063 PMCID: PMC10898159 DOI: 10.1186/s12964-023-01411-x] [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: 07/19/2023] [Accepted: 11/25/2023] [Indexed: 02/29/2024] Open
Abstract
Gastrointestinal stromal tumor (GIST) is the most common sarcoma located in gastrointestinal tract and derived from the interstitial cell of Cajal (ICC) lineage. Both ICC and GIST cells highly rely on KIT signal pathway. Clinically, about 80-90% of treatment-naive GIST patients harbor primary KIT mutations, and special KIT-targeted TKI, imatinib (IM) showing dramatic efficacy but resistance invariably occur, 90% of them was due to the second resistance mutations emerging within the KIT gene. Although there are multiple variants of KIT mutant which did not show complete uniform biologic characteristics, most of them have high KIT expression level. Notably, the high expression level of KIT gene is not correlated to its gene amplification. Recently, accumulating evidences strongly indicated that the gene coding, epigenetic regulation, and pre- or post- protein translation of KIT mutants in GIST were quite different from that of wild type (WT) KIT. In this review, we elucidate the biologic mechanism of KIT variants and update the underlying mechanism of the expression of KIT gene, which are exclusively regulated in GIST, providing a promising yet evidence-based therapeutic landscape and possible target for the conquer of IM resistance. Video Abstract.
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Affiliation(s)
- Shishan Zhou
- Division of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, China, Xiangya road 87
| | - Omar Abdihamid
- Garissa Cancer Center, Garissa County Referral Hospital, Kismayu road, Garissa town, P.O BOX, 29-70100, Kenya
| | - Fengbo Tan
- Division of Surgery, Xiangya Hospital, Central South University, China, Hunan, Changsha
| | - Haiyan Zhou
- Division of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Heli Liu
- Division of Surgery, Xiangya Hospital, Central South University, China, Hunan, Changsha
| | - Zhi Li
- Center for Molecular Medicine of Xiangya Hospital, Collaborative Innovation Center for Cancer Medicine, Central South University, Changsha, Hunan, China, 410008
| | - Sheng Xiao
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, 410008, MA, USA
| | - Bin Li
- Division of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, China, Xiangya road 87#.
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Fu X, Zhang Q, Wang Z, Xu Y, Dong Q. CRABP2 affects chemotherapy resistance of ovarian cancer by regulating the expression of HIF1α. Cell Death Dis 2024; 15:21. [PMID: 38195606 PMCID: PMC10776574 DOI: 10.1038/s41419-023-06398-4] [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: 08/28/2023] [Revised: 12/14/2023] [Accepted: 12/15/2023] [Indexed: 01/11/2024]
Abstract
Ovarian cancer is the most lethal malignancy among gynecologic cancers, and primary and secondary chemotherapy resistance is one of the important reasons for poor prognosis of ovarian cancer patients. However, the specifics of resistance to chemotherapy in ovarian cancer remain unclear. Herein, we find that the expression level of cellular retinoic acid binding protein 2 (CRABP2) is up-regulated in drug-resistant ovarian cancer tissues and cell lines, and the expression levels of CRABP2 in epithelial ovarian cancer tissues are closely related to tumor clinical stage and patients' prognosis, suggesting that CRABP2 plays an important role in the progression of ovarian cancer and the corresponding ability of tumor to chemotherapy. With the in-depth study, we demonstrates that CRABP2 is related to the high metabolic activity in drug-resistant cells, and all-trans retinoic acid exacerbates this activity. Further molecular mechanism exploration experiments show that CRABP2 not only up-regulates the expression level of HIF1α, but also increases the localization of HIF1α in the nucleus. In drug-resistant ovarian cancer cells, knocking down HIF1α can block the resistance of CRABP2 to chemotherapy drugs in ovarian cancer cells. Taken together, our findings suggest for the first time that CRABP2 affects chemotherapy resistance of ovarian cancer by regulating the expression of HIF1α. This study provides a possible molecular mechanism for drug resistance and a possible molecular target for clinical treatment of ovarian cancer.
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Affiliation(s)
- Xin Fu
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, 300060, China.
- Key Laboratory of Cancer Prevention and Therapy, Tianjin, 300060, China.
- Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China.
- Department of Gynecologic Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.
| | - Qian Zhang
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, 300060, China
- Key Laboratory of Cancer Prevention and Therapy, Tianjin, 300060, China
- Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
- Medical Affairs Office, Tianjin Cancer Hospital Airport Hospital, Tianjin, 300060, China
| | - Zhaosong Wang
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, 300060, China
- Key Laboratory of Cancer Prevention and Therapy, Tianjin, 300060, China
- Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
- Laboratory Animal Center, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China
| | - Yue Xu
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, 300060, China
- Key Laboratory of Cancer Prevention and Therapy, Tianjin, 300060, China
- Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
- Laboratory of Tumor Cell Biology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China
| | - Qiuping Dong
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, 300060, China
- Key Laboratory of Cancer Prevention and Therapy, Tianjin, 300060, China
- Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
- Laboratory of Tumor Cell Biology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China
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Luo K, Qian Z, Jiang Y, Lv D, Zhu K, Shao J, Hu Y, Lv C, Huang Q, Gao Y, Jin S, Shang D. Characterization of the metabolic alteration-modulated tumor microenvironment mediated by TP53 mutation and hypoxia. Comput Biol Med 2023; 163:107078. [PMID: 37356294 DOI: 10.1016/j.compbiomed.2023.107078] [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: 03/07/2023] [Revised: 05/08/2023] [Accepted: 05/27/2023] [Indexed: 06/27/2023]
Abstract
BACKGROUND TP53 mutation and hypoxia play an essential role in cancer progression. However, the metabolic reprogramming and tumor microenvironment (TME) heterogeneity mediated by them are still not fully understood. METHODS The multi-omics data of 32 cancer types and immunotherapy cohorts were acquired to comprehensively characterize the metabolic reprogramming pattern and the TME across cancer types and explore immunotherapy candidates. An assessment model for metabolic reprogramming was established by integration of multiple machine learning methods, including lasso regression, neural network, elastic network, and survival support vector machine (SVM). Pharmacogenomics analysis and in vitro assay were conducted to identify potential therapeutic drugs. RESULTS First, we identified metabolic subtype A (hypoxia-TP53 mutation subtype) and metabolic subtype B (non-hypoxia-TP53 wildtype subtype) in hepatocellular carcinoma (HCC) and showed that metabolic subtype A had an "immune inflamed" microenvironment. Next, we established an assessment model for metabolic reprogramming, which was more effective compared to the traditional prognostic indicators. Then, we identified a potential targeting drug, teniposide. Finally, we performed the pan-cancer analysis to illustrate the role of metabolic reprogramming in cancer and found that the metabolic alteration (MA) score was positively correlated with tumor mutational burden (TMB), neoantigen load, and homologous recombination deficiency (HRD) across cancer types. Meanwhile, we demonstrated that metabolic reprogramming mediated a potential immunotherapy-sensitive microenvironment in bladder cancer and validated it in an immunotherapy cohort. CONCLUSION Metabolic alteration mediated by hypoxia and TP53 mutation is associated with TME modulation and tumor progression across cancer types. In this study, we analyzed the role of metabolic alteration in cancer and propose a predictive model for cancer prognosis and immunotherapy responsiveness. We also explored a potential therapeutic drug, teniposide.
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Affiliation(s)
- Kunpeng Luo
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and lmaging Artificial Intelligence, Hengyang Medical School, University of South China Hengyang, Hunan, 421001, China; School of Computer, University of South China, Hengyang, Hunan, 421001, China; Department of Gastroenterology and Hepatology, Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, 150081, China.
| | - Zhipeng Qian
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and lmaging Artificial Intelligence, Hengyang Medical School, University of South China Hengyang, Hunan, 421001, China; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, 150081, China
| | - Yanan Jiang
- Department of Pharmacology (State-Province Key Laboratories of Biomedicine- Pharmaceutics of China, Key Laboratory of Cardiovascular Research, Ministry of Education), College of Pharmacy, Harbin Medical University, Harbin, Heilongjiang, 150081, China; Translational Medicine Research and Cooperation Center of Northern China, Heilongjiang Academy of Medical Sciences, Harbin, Heilongjiang, 150081, China
| | - Dongxu Lv
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, 150081, China
| | - Kaibin Zhu
- Department of Thoracic Surgery, Harbin Medical University Cancer Hospital, No. 150, Haping Road, Harbin, Heilongjiang, 150081, China
| | - Jing Shao
- Department of Gastroenterology and Hepatology, Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, 150081, China
| | - Ying Hu
- Department of Gastroenterology and Hepatology, Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, 150081, China
| | - Chengqian Lv
- Department of Gastroenterology and Hepatology, Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, 150081, China
| | - Qianqian Huang
- Department of Gastroenterology and Hepatology, Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, 150081, China
| | - Yang Gao
- Department of Gastroenterology and Hepatology, Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, 150081, China
| | - Shizhu Jin
- Department of Gastroenterology and Hepatology, Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, 150081, China.
| | - Desi Shang
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and lmaging Artificial Intelligence, Hengyang Medical School, University of South China Hengyang, Hunan, 421001, China; School of Computer, University of South China, Hengyang, Hunan, 421001, China; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, 150081, China.
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Xiao Y, Yu TJ, Xu Y, Ding R, Wang YP, Jiang YZ, Shao ZM. Emerging therapies in cancer metabolism. Cell Metab 2023; 35:1283-1303. [PMID: 37557070 DOI: 10.1016/j.cmet.2023.07.006] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Revised: 06/20/2023] [Accepted: 07/17/2023] [Indexed: 08/11/2023]
Abstract
Metabolic reprogramming in cancer is not only a biological hallmark but also reveals treatment vulnerabilities. Numerous metabolic molecules have shown promise as treatment targets to impede tumor progression in preclinical studies, with some advancing to clinical trials. However, the intricacy and adaptability of metabolic networks hinder the effectiveness of metabolic therapies. This review summarizes the metabolic targets for cancer treatment and provides an overview of the current status of clinical trials targeting cancer metabolism. Additionally, we decipher crucial factors that limit the efficacy of metabolism-based therapies and propose future directions. With advances in integrating multi-omics, single-cell, and spatial technologies, as well as the ability to track metabolic adaptation more precisely and dynamically, clinicians can personalize metabolic therapies for improved cancer treatment.
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Affiliation(s)
- Yi Xiao
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Tian-Jian Yu
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Ying Xu
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Rui Ding
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Yi-Ping Wang
- Precision Research Center for Refractory Diseases, Institute for Clinical Research, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 201620, China
| | - Yi-Zhou Jiang
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China.
| | - Zhi-Ming Shao
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China.
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Biagioni A, Peri S, Versienti G, Fiorillo C, Becatti M, Magnelli L, Papucci L. Gastric Cancer Vascularization and the Contribution of Reactive Oxygen Species. Biomolecules 2023; 13:886. [PMID: 37371466 DOI: 10.3390/biom13060886] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 05/19/2023] [Accepted: 05/24/2023] [Indexed: 06/29/2023] Open
Abstract
Blood vessels are the most important way for cancer cells to survive and diffuse in the body, metastasizing distant organs. During the process of tumor expansion, the neoplastic mass progressively induces modifications in the microenvironment due to its uncontrolled growth, generating a hypoxic and low pH milieu with high fluid pressure and low nutrients concentration. In such a particular condition, reactive oxygen species play a fundamental role, enhancing tumor proliferation and migration, inducing a glycolytic phenotype and promoting angiogenesis. Indeed, to reach new sources of oxygen and metabolites, highly aggressive cancer cells might produce a new abnormal network of vessels independently from endothelial cells, a process called vasculogenic mimicry. Even though many molecular markers and mechanisms, especially in gastric cancer, are still unclear, the formation of such intricate, leaky and abnormal vessel networks is closely associated with patients' poor prognosis, and therefore finding new pharmaceutical solutions to be applied along with canonical chemotherapies in order to control and normalize the formation of such networks is urgent.
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Affiliation(s)
- Alessio Biagioni
- Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, 50134 Florence, Italy
| | - Sara Peri
- Department of Experimental and Clinical Medicine, University of Florence, 50134 Florence, Italy
| | - Giampaolo Versienti
- Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, 50134 Florence, Italy
| | - Claudia Fiorillo
- Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, 50134 Florence, Italy
| | - Matteo Becatti
- Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, 50134 Florence, Italy
| | - Lucia Magnelli
- Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, 50134 Florence, Italy
| | - Laura Papucci
- Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, 50134 Florence, Italy
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8
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Husain NE, Osman IM, Khalid A, Satir AA, Stoehr R, Agaimy A. Clinicopathological, immunohistochemical, molecular-genetic and risk profiles of gastrointestinal stromal tumors in a cohort of Sudanese patients. Afr Health Sci 2023; 23:444-458. [PMID: 37545902 PMCID: PMC10398493 DOI: 10.4314/ahs.v23i1.47] [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: 08/08/2023] Open
Abstract
Background Determining the risk of malignant behaviour and mutational status of gastrointestinal stromal tumours (GISTs) guide the management decision and allow optimal individualized patient treatment. Objectives To determine clinicopathological, immunohistochemical (IHC), risk and KIT mutational findings of GISTs in Sudanese patients. Methods Histological slides were reviewed, IHC for DOG-1 and CD117 performed and hotspot KIT mutations examined. The risk group was assigned using combined risk criteria. Results 21 of the 36 patients (58.3%) were males (mean age, 54.83 ±12.57; range, 26-71). Abdominal pain and mass were the most frequent symptoms. Mean tumor size (±SD) was 11.6(±5.82) cm. Either CD117, DOG1 or both were positive in all cases. Using risk criteria, 33.3% (n=12) were clinically malignant at presentation, 13.9% (n=5) high risk, 16.7% (n=6) intermediate, 27.8% (n=10) low risk and 2.8% (n=1) very low risk. Sixteen of 23 (70%) tested cases had KIT (14 exon 11 and two exon 9) mutations. Six tumors were wild type. Exon 11 deletions (p.I563-L576 del and p.V559-N566delinsD) significantly correlate with disease recurrence (p-value: 0.028). Conclusions Sudanese patients with GIST tend to present late. Nearly half of them correspond to the malignant/high-risk category. The frequency of KIT mutations (79.31%) is in line with the literature.
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Affiliation(s)
| | - Ihsan Mohamed Osman
- Department of Pathology, Faculty of Medicine, Alzaiem Alazhari University, Khartoum North, Sudan
| | - Ahmed Khalid
- Dept. of Oncology, Khartoum Oncology Hospital, Sudan
| | | | - Robert Stoehr
- Institute of Pathology, University of Erlangen, Germany
| | - Abbas Agaimy
- Institute of Pathology, University of Erlangen, Germany
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Metabolomic and transcriptomic response to imatinib treatment of gastrointestinal stromal tumour in xenograft-bearing mice. Transl Oncol 2023; 30:101632. [PMID: 36774883 PMCID: PMC9945753 DOI: 10.1016/j.tranon.2023.101632] [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] [Received: 10/17/2022] [Revised: 01/09/2023] [Accepted: 02/01/2023] [Indexed: 02/12/2023] Open
Abstract
BACKGROUND Although imatinib is a well-established first-line drug for treating a vast majority of gastrointestinal stromal tumours (GIST), GISTs acquire secondary resistance during therapy. Multi-omics approaches provide an integrated perspective to empower the development of personalised therapies through a better understanding of functional biology underlying the disease and molecular-driven selection of the best-targeted individualised therapy. In this study, we applied integrative metabolomic and transcriptomic analyses to elucidate tumour biochemical processes affected by imatinib treatment. MATERIALS AND METHODS A GIST xenograft mouse model was used in the study, including 10 mice treated with imatinib and 10 non-treated controls. Metabolites in tumour extracts were analysed using gas chromatography coupled with mass spectrometry (GC-MS). RNA sequencing was also performed on the samples subset (n=6). RESULTS Metabolomic analysis revealed 21 differentiating metabolites, whereas next-generation RNA sequencing data analysis resulted in 531 differentially expressed genes. Imatinib significantly changed the profile of metabolites associated mainly with purine and pyrimidine metabolism, butanoate metabolism, as well as alanine, aspartate, and glutamate metabolism. The related changes in transcriptomic profiles included genes involved in kinase activity and immune responses, as well as supported its impact on the purine biosynthesis pathway. CONCLUSIONS Our multi-omics study confirmed previously known pathways involved in imatinib anticancer activity as well as correlated imatinib-relevant downregulation of expression of purine biosynthesis pathway genes with the reduction of respectful metabolites. Furthermore, considering the importance of the purine biosynthesis pathway for cancer proliferation, we identified a potentially novel mechanism for the anti-tumour activity of imatinib. Based on the results, we hypothesise metabolic modulations aiming at the reduction in purine and pyrimidine pool may ensure higher imatinib efficacy or re-sensitise imatinib-resistant tumours.
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Deng H, Chen Y, Li P, Hang Q, Zhang P, Jin Y, Chen M. PI3K/AKT/mTOR pathway, hypoxia, and glucose metabolism: Potential targets to overcome radioresistance in small cell lung cancer. CANCER PATHOGENESIS AND THERAPY 2023; 1:56-66. [PMID: 38328610 PMCID: PMC10846321 DOI: 10.1016/j.cpt.2022.09.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 09/02/2022] [Accepted: 09/25/2022] [Indexed: 02/09/2024]
Abstract
Small cell lung cancer (SCLC) is a highly aggressive tumor type for which limited therapeutic progress has been made. Platinum-based chemotherapy with or without thoracic radiotherapy remains the backbone of treatment, but most patients with SCLC acquire therapeutic resistance. Given the need for more effective therapies, better elucidation of the molecular pathogenesis of SCLC is imperative. The phosphoinositide 3-kinase (PI3K)/protein kinase B (AKT)/mammalian target of rapamycin (mTOR) pathway is frequently activated in SCLC and strongly associated with resistance to ionizing radiation in many solid tumors. This pathway is an important regulator of cancer cell glucose metabolism, and its activation probably effects radioresistance by influencing bioenergetic processes in SCLC. Glucose metabolism has three main branches-aerobic glycolysis, oxidative phosphorylation, and the pentose phosphate pathway-involved in radioresistance. The interaction between the PI3K/AKT/mTOR pathway and glucose metabolism is largely mediated by hypoxia-inducible factor 1 (HIF-1) signaling. The PI3K/AKT/mTOR pathway also influences glucose metabolism through other mechanisms to participate in radioresistance, including inhibiting the ubiquitination of rate-limiting enzymes of the pentose phosphate pathway. This review summarizes our understanding of links among the PI3K/AKT/mTOR pathway, hypoxia, and glucose metabolism in SCLC radioresistance and highlights promising research directions to promote cancer cell death and improve the clinical outcome of patients with this devastating disease.
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Affiliation(s)
- Huan Deng
- Department of Medical Oncology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, Zhejiang 310022, China
- Department of Radiation Oncology, Zhejiang Key Laboratory of Radiation Oncology, Hangzhou, Zhejiang 310022, China
- Department of Radiation Oncology, Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China
- College of Life Sciences, University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Yamei Chen
- Department of Medical Oncology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, Zhejiang 310022, China
- Department of Radiation Oncology, Zhejiang Key Laboratory of Radiation Oncology, Hangzhou, Zhejiang 310022, China
- Department of Radiation Oncology, Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China
| | - Peijing Li
- Department of Medical Oncology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, Zhejiang 310022, China
- Department of Radiation Oncology, Zhejiang Key Laboratory of Radiation Oncology, Hangzhou, Zhejiang 310022, China
- Department of Radiation Oncology, Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China
| | - Qingqing Hang
- Department of Medical Oncology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, Zhejiang 310022, China
- Department of Radiation Oncology, Zhejiang Key Laboratory of Radiation Oncology, Hangzhou, Zhejiang 310022, China
- Department of Radiation Oncology, Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China
| | - Peng Zhang
- Department of Medical Oncology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, Zhejiang 310022, China
- Department of Radiation Oncology, Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China
| | - Ying Jin
- Department of Medical Oncology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, Zhejiang 310022, China
- Department of Radiation Oncology, Zhejiang Key Laboratory of Radiation Oncology, Hangzhou, Zhejiang 310022, China
- Department of Radiation Oncology, Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China
| | - Ming Chen
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510060, China
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11
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Circular RNA circPGD contributes to gastric cancer progression via the sponging miR-16-5p/ABL2 axis and encodes a novel PGD-219aa protein. Cell Death Dis 2022; 8:384. [PMID: 36104322 PMCID: PMC9472197 DOI: 10.1038/s41420-022-01177-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 08/31/2022] [Accepted: 09/01/2022] [Indexed: 11/26/2022]
Abstract
CircRNAs have critical effects on tumor development and progression. However, circPGD effect on gastric cancer (GC) is still elusive. Nuclear and cytoplasmic RNA fractionation, and RNA-FISH assay examined the localization of circPGD in MGC-803 cells. qRT-PCR was conducted to detect the expression and prognostic significance of circPGD, miR-16-5p, and ABL2 within GC tissues. Meanwhile, qRT-PCR, luciferase reporter assays, rescue, and western blotting assays confirmed the interactions between circPGD, miR-16-5p, and ABL2. Transwell, wound healing, and colony-formation assays, as well as CCK-8 and cell apoptosis assays, analyzed the functions of circPGD, miR-16-5p, ABL2, as well as PGD-219aa within GC cells. Western blotting and cell immunofluorescence experiments detected the differences in the expression of the related proteins. Finally, xenograft and metastatic mouse models were used to investigate circPGD function in vivo. Mass spectrometry was used to detect the existence of PGD-219aa in MGC-803 cells. CircPGD was localized in the cytoplasm and nucleus of MGC-803 cells. Compared with the control, circPGD and ABL2 expression increased within GC tissues and cells, and the miR-16-5p level was decreased. Functionally, circPGD promoted cell proliferation, migration and suppressed apoptosis in vitro. Mechanistically, circPGD sponged miR-16-5p for relieving miR-16-5p suppression on the corresponding target ABL2 via the SMAD2/3 and YAP signaling pathways. In addition, circPGD encodes a novel PGD-219aa protein that can enhance the growth and migration of GC cells, while inhibiting GC cells apoptosis via the SMAD2/3 and YAP signaling pathways. Furthermore, circPGD overexpression enhanced tumor aggressiveness, while circPGD knockdown inhibited tumor growth. Overall, circPGD has a novel oncogenic effect on GC cells, indicating the potential of circPGD as the tumorigenic factor and a promising diagnostic marker for GC.
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12
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Hu X, Wang Z, Su P, Zhang Q, Kou Y. Advances in the research of the mechanism of secondary resistance to imatinib in gastrointestinal stromal tumors. Front Oncol 2022; 12:933248. [PMID: 36147927 PMCID: PMC9485670 DOI: 10.3389/fonc.2022.933248] [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: 04/30/2022] [Accepted: 08/18/2022] [Indexed: 11/15/2022] Open
Abstract
Gastrointestinal stromal tumors (GISTs) are the most common mesenchymal tumors of the gastrointestinal tract. At present, surgery is the first-line treatment for primary resectable GISTs; however, the recurrence rate is high. Imatinib mesylate (IM) is an effective first-line drug used for the treatment of unresectable or metastatic recurrent GISTs. More than 80% of patients with GISTs show significantly improved 5-year survival after treatment; however, approximately 50% of patients develop drug resistance after 2 years of IM treatment. Therefore, an in-depth research is urgently needed to reveal the mechanisms of secondary resistance to IM in patients with GISTs and to develop new therapeutic targets and regimens to improve their long-term prognoses. In this review, research on the mechanisms of secondary resistance to IM conducted in the last 5 years is discussed and summarized from the aspects of abnormal energy metabolism, gene mutations, non-coding RNA, and key proteins. Studies have shown that different drug-resistance mechanism networks are closely linked and interconnected. However, the influence of these drug-resistance mechanisms has not been compared. The combined inhibition of drug-resistance mechanisms with IM therapy and the combined inhibition of multiple drug-resistance mechanisms are expected to become new therapeutic options in the treatment of GISTs. In addition, implementing individualized therapies based on the identification of resistance mechanisms will provide new adjuvant treatment options for patients with IM-resistant GISTs, thereby delaying the progression of GISTs. Previous studies provide theoretical support for solving the problems of drug-resistance mechanisms. However, most studies on drug-resistance mechanisms are still in the research stage. Further clinical studies are needed to confirm the safety and efficacy of the inhibition of drug-resistance mechanisms as a potential therapeutic target.
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Affiliation(s)
- Xiangchen Hu
- Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang, China
| | - Zhe Wang
- Department of Pathology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Peng Su
- Medical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qiqi Zhang
- Department of Pathology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Youwei Kou
- Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang, China
- *Correspondence: Youwei Kou,
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13
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Xu K, Zhang Q, Chen M, Li B, Wang N, Li C, Gao Z, Zhang D, Yang L, Xu Z, Li X, Xu H. N 6-methyladenosine modification regulates imatinib resistance of gastrointestinal stromal tumor by enhancing the expression of multidrug transporter MRP1. Cancer Lett 2022; 530:85-99. [PMID: 35032557 DOI: 10.1016/j.canlet.2022.01.008] [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: 10/02/2021] [Revised: 12/23/2021] [Accepted: 01/08/2022] [Indexed: 12/29/2022]
Abstract
N6-methyladenosine (m6A) is a frequently occurring mRNA modification, which regulates mRNA stability, splicing, and translation. However, its role in drug resistance of gastrointestinal stromal tumor (GIST) is not known. Here, we report that m6A modification levels are elevated in imatinib-resistant GIST cells and tissues, and that methyltransferase METTL3 is one of the main protein responsible for this aberrant modification. Increased METTL3 levels contributed to imatinib resistance and worse progression-free survival of GIST patients. Mechanistic studies revealed that METTL3-mediated m6A modification of the 5'UTR of the multidrug transporter MRP1 mRNA promoted drug resistance of GIST by stimulating MRP1 mRNA translation, via binding with YTHDF1 and eEF-1. Further, METTL3 transcription in Imatinib resistant GIST cells was activated by ETV1, leading to the increased m6A methylation of MRP1 mRNA. This is the first report showing a novel regulatory mechanism whereby ETV1, METTL3, and the YTHDF1/eEF-1 complex mediate the translation of MRP1 mRNA in an m6A-dependent manner to regulate the intracellular concentration of imatinib and drug resistance of GIST. These findings highlight MRP1 as a new potential therapeutic target for imatinib resistance of GIST.
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Affiliation(s)
- Kangjing Xu
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Jiangsu Collaborative Innovation Center for Cancer Personalized Medical University, Nanjing, 211166, China
| | - Qiang Zhang
- Department of Gastrointestinal Surgery, The Second People's Hospital of Lianyungang Affiliated to Kangda College, Nanjing Medical University, Lianyungang, 222002, China
| | - Ming Chen
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Jiangsu Collaborative Innovation Center for Cancer Personalized Medical University, Nanjing, 211166, China
| | - Bowen Li
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Jiangsu Collaborative Innovation Center for Cancer Personalized Medical University, Nanjing, 211166, China
| | - Nuofan Wang
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Jiangsu Collaborative Innovation Center for Cancer Personalized Medical University, Nanjing, 211166, China
| | - Chao Li
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Jiangsu Collaborative Innovation Center for Cancer Personalized Medical University, Nanjing, 211166, China
| | - Zhishuang Gao
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Jiangsu Collaborative Innovation Center for Cancer Personalized Medical University, Nanjing, 211166, China
| | - Diancai Zhang
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Jiangsu Collaborative Innovation Center for Cancer Personalized Medical University, Nanjing, 211166, China
| | - Li Yang
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Jiangsu Collaborative Innovation Center for Cancer Personalized Medical University, Nanjing, 211166, China
| | - Zekuan Xu
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Jiangsu Collaborative Innovation Center for Cancer Personalized Medical University, Nanjing, 211166, China
| | - Xueming Li
- School of Pharmaceutical Science, Nanjing Tech University, Nanjing, 211816, China.
| | - Hao Xu
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Jiangsu Collaborative Innovation Center for Cancer Personalized Medical University, Nanjing, 211166, China.
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14
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Gonçalves AC, Richiardone E, Jorge J, Polónia B, Xavier CPR, Salaroglio IC, Riganti C, Vasconcelos MH, Corbet C, Sarmento-Ribeiro AB. Impact of cancer metabolism on therapy resistance - Clinical implications. Drug Resist Updat 2021; 59:100797. [PMID: 34955385 DOI: 10.1016/j.drup.2021.100797] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Despite an increasing arsenal of anticancer therapies, many patients continue to have poor outcomes due to the therapeutic failures and tumor relapses. Indeed, the clinical efficacy of anticancer therapies is markedly limited by intrinsic and/or acquired resistance mechanisms that can occur in any tumor type and with any treatment. Thus, there is an urgent clinical need to implement fundamental changes in the tumor treatment paradigm by the development of new experimental strategies that can help to predict the occurrence of clinical drug resistance and to identify alternative therapeutic options. Apart from mutation-driven resistance mechanisms, tumor microenvironment (TME) conditions generate an intratumoral phenotypic heterogeneity that supports disease progression and dismal outcomes. Tumor cell metabolism is a prototypical example of dynamic, heterogeneous, and adaptive phenotypic trait, resulting from the combination of intrinsic [(epi)genetic changes, tissue of origin and differentiation dependency] and extrinsic (oxygen and nutrient availability, metabolic interactions within the TME) factors, enabling cancer cells to survive, metastasize and develop resistance to anticancer therapies. In this review, we summarize the current knowledge regarding metabolism-based mechanisms conferring adaptive resistance to chemo-, radio-and immunotherapies as well as targeted therapies. Furthermore, we report the role of TME-mediated intratumoral metabolic heterogeneity in therapy resistance and how adaptations in amino acid, glucose, and lipid metabolism support the growth of therapy-resistant cancers and/or cellular subpopulations. We also report the intricate interplay between tumor signaling and metabolic pathways in cancer cells and discuss how manipulating key metabolic enzymes and/or providing dietary changes may help to eradicate relapse-sustaining cancer cells. Finally, in the current era of personalized medicine, we describe the strategies that may be applied to implement metabolic profiling for tumor imaging, biomarker identification, selection of tailored treatments and monitoring therapy response during the clinical management of cancer patients.
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Affiliation(s)
- Ana Cristina Gonçalves
- Laboratory of Oncobiology and Hematology (LOH) and University Clinic of Hematology, Faculty of Medicine (FMUC), University of Coimbra, Coimbra, Portugal; Coimbra Institute for Clinical and Biomedical Research (iCBR) - Group of Environment Genetics and Oncobiology (CIMAGO), FMUC, University of Coimbra, Portugal; Center for Innovative Biomedicine and Biotechnology (CIBB), Coimbra, Portugal
| | - Elena Richiardone
- Pole of Pharmacology and Therapeutics (FATH), Institut de Recherche Expérimentale et Clinique (IREC), UCLouvain, Belgium
| | - Joana Jorge
- Laboratory of Oncobiology and Hematology (LOH) and University Clinic of Hematology, Faculty of Medicine (FMUC), University of Coimbra, Coimbra, Portugal; Coimbra Institute for Clinical and Biomedical Research (iCBR) - Group of Environment Genetics and Oncobiology (CIMAGO), FMUC, University of Coimbra, Portugal; Center for Innovative Biomedicine and Biotechnology (CIBB), Coimbra, Portugal
| | - Bárbara Polónia
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135, Porto, Portugal; Cancer Drug Resistance Group, IPATIMUP - Institute of Molecular Pathology and Immunology, University of Porto, Porto, Portugal
| | - Cristina P R Xavier
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135, Porto, Portugal; Cancer Drug Resistance Group, IPATIMUP - Institute of Molecular Pathology and Immunology, University of Porto, Porto, Portugal
| | | | - Chiara Riganti
- Department of Oncology, School of Medicine, University of Torino, Italy
| | - M Helena Vasconcelos
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135, Porto, Portugal; Cancer Drug Resistance Group, IPATIMUP - Institute of Molecular Pathology and Immunology, University of Porto, Porto, Portugal; Department of Biological Sciences, FFUP - Faculty of Pharmacy of the University of Porto, Porto, Portugal
| | - Cyril Corbet
- Pole of Pharmacology and Therapeutics (FATH), Institut de Recherche Expérimentale et Clinique (IREC), UCLouvain, Belgium.
| | - Ana Bela Sarmento-Ribeiro
- Laboratory of Oncobiology and Hematology (LOH) and University Clinic of Hematology, Faculty of Medicine (FMUC), University of Coimbra, Coimbra, Portugal; Coimbra Institute for Clinical and Biomedical Research (iCBR) - Group of Environment Genetics and Oncobiology (CIMAGO), FMUC, University of Coimbra, Portugal; Center for Innovative Biomedicine and Biotechnology (CIBB), Coimbra, Portugal; Hematology Service, Centro Hospitalar e Universitário de Coimbra (CHUC), Coimbra, Portugal.
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15
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Shima T, Taniguchi K, Tokumaru Y, Inomata Y, Arima J, Lee SW, Takabe K, Yoshida K, Uchiyama K. Glucose transporter‑1 inhibition overcomes imatinib resistance in gastrointestinal stromal tumor cells. Oncol Rep 2021; 47:7. [PMID: 34738628 PMCID: PMC8600406 DOI: 10.3892/or.2021.8218] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 10/01/2021] [Indexed: 12/23/2022] Open
Abstract
Imatinib mesylate (imatinib) is the primary agent of choice used to treat gastrointestinal stromal tumors (GIST). However, drug resistance to imatinib poses a major obstacle to treatment efficacy. In addition, the relationship between imatinib resistance and glycolysis is poorly understood. Glucose transporter (GLUT)-1 is a key component of glycolysis. The present study aimed to assess the potential relationship between components in the glycolytic pathway and the acquisition of imatinib resistance by GIST cells, with particular focus on GLUT-1. An imatinib-resistant GIST cell line was established through the gradual and continuous imatinib treatment of the parental human GIST cell line GIST-T1. The expression of glycolysis-related molecules (GLUT-1, hexokinase 2, pyruvate kinase M2 and lactate dehydrogenase) was assessed in parental and imatinib-resistant cells by western blotting, reverse transcription-quantitative PCR and glucose and lactate measurement kits. In addition, clinical information and transcriptomic data obtained from the gene expression omnibus database (GSE15966) were used to confirm the in vitro results. The potential effects of GLUT-1 inhibition on the expression of proteins in the glycolysis (GLUT-1, hexokinase 2, pyruvate kinase M2 and lactate dehydrogenase) and apoptosis pathways (Bcl-2, cleaved PARP, caspase-3 and caspase-9) in imatinib-resistant cells were then investigated following gene silencing and treatment using the GLUT-1 inhibitor WZB117 by western blotting. For gene silencing, the mature siRNAs for SLC2A1 were used for cell transfection. Annexin V-FITC/PI double-staining followed by flow cytometry was used to measure apoptosis whereas three-dimensional culture experiments were used to create three-dimensional spheroid cells where cell viability and spheroid diameter were measured. Although imatinib treatment downregulated GLUT-1 expression and other glycolysis pathway components hexokinase 2, pyruvate kinase M2, and lactate dehydrogenase in parental GIST-T1 cells even at low concentrations. By contrast, expression of these glycolysis pathway components in imatinib-resistant cells were increased by imatinib treatment. WZB117 administration significantly downregulated AKT phosphorylation and Bcl-2 expression in imatinib-resistant cells, whereas the combined administration of imatinib and WZB117 conferred synergistic growth inhibition effects in apoptosis assay. WZB117 was found to exert additional inhibitory effects by inducing apoptosis in imatinib-resistant cells. Therefore, the present study suggests that GLUT-1 is involved in the acquisition of imatinib resistance by GIST cells, which can be overcome by combined treatment with WZB117 and imatinib.
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Affiliation(s)
- Takafumi Shima
- Department of General and Gastroenterological Surgery, Osaka Medical and Pharmaceutical University, Takatsuki, Osaka 569‑8686, Japan
| | - Kohei Taniguchi
- Department of General and Gastroenterological Surgery, Osaka Medical and Pharmaceutical University, Takatsuki, Osaka 569‑8686, Japan
| | - Yoshihisa Tokumaru
- Breast Surgery, Department of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
| | - Yosuke Inomata
- Department of General and Gastroenterological Surgery, Osaka Medical and Pharmaceutical University, Takatsuki, Osaka 569‑8686, Japan
| | - Jun Arima
- Department of General and Gastroenterological Surgery, Osaka Medical and Pharmaceutical University, Takatsuki, Osaka 569‑8686, Japan
| | - Sang-Woong Lee
- Department of General and Gastroenterological Surgery, Osaka Medical and Pharmaceutical University, Takatsuki, Osaka 569‑8686, Japan
| | - Kazuaki Takabe
- Breast Surgery, Department of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
| | - Kazuhiro Yoshida
- Department of Surgical Oncology, Graduate School of Medicine, Gifu University, Gifu, Gifu 501‑1194, Japan
| | - Kazuhisa Uchiyama
- Department of General and Gastroenterological Surgery, Osaka Medical and Pharmaceutical University, Takatsuki, Osaka 569‑8686, Japan
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16
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Zeng W, Xing Z, Tan M, Wu Y, Zhang C. Propofol regulates activated macrophages metabolism through inhibition of ROS-mediated GLUT1 expression. Inflamm Res 2021; 70:473-481. [PMID: 33751130 DOI: 10.1007/s00011-021-01449-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 02/02/2021] [Accepted: 03/04/2021] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVE Activated macrophages undergo a metabolic shift from oxidative phosphorylation (OXPHOS) to aerobic glycolysis, which plays a critical role in inflammation. Increasing evidence suggests the important role of propofol in the regulation of inflammatory response and metabolism, but the effect of propofol on the metabolic shift in macrophage, and the mechanisms involved remain unclear. METHODS The effect of propofol on the metabolic switch was analyzed by extracellular acidification rate and oxygen consumption rate assays. The effect of propofol on glycolysis was analyzed by lactate and glucose uptake assay. The mRNA, protein, cell surface levels of glucose transporter 1 (GLUT1) and the silencing of GLUT1 were employed to understand the effects of GLUT1-mediated metabolism by propofol. Finally, to understand the antioxidation of propofol on the regulation of metabolism, the reactive oxygen species (ROS) production and NADPH activity were performed. RESULTS We show that propofol can change the metabolic pathway switch from aerobic glycolysis to OXPHOS in LPS-activated macrophages. Moreover, propofol suppresses aerobic glycolysis via inhibited GLUT1-mediated glucose uptake. Furthermore, we show that propofol reduces ROS overproduction, which in turn inhibits GLUT1 expression. Finally, we find that propofol reduces ROS production via inhibits NADPH activity. CONCLUSION These findings shed light on the function and mechanism of propofol in the metabolic switch and highlight the importance of targeting metabolism by propofol in the clinical medication of inflammatory diseases.
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Affiliation(s)
- Wei Zeng
- Department of Anesthesiology, Affiliated Boai Hospital of Zhongshan, Southern Medical University, Guangdong, 528400, China
| | - Zeting Xing
- Department of Anesthesiology, Affiliated Boai Hospital of Zhongshan, Southern Medical University, Guangdong, 528400, China
| | - Meiyun Tan
- Department of Anesthesiology, Affiliated Boai Hospital of Zhongshan, Southern Medical University, Guangdong, 528400, China
| | - Yanwen Wu
- Department of Anesthesiology, Affiliated Boai Hospital of Zhongshan, Southern Medical University, Guangdong, 528400, China
| | - Chunyuan Zhang
- Department of Anesthesiology, Affiliated Boai Hospital of Zhongshan, Southern Medical University, Guangdong, 528400, China.
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