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Zhang K, Li G, Wang Q, Liu X, Chen H, Li F, Li S, Song X, Li Y. A disulfidptosis-related glucose metabolism and immune response prognostic model revealing the immune microenvironment in lung adenocarcinoma. Front Immunol 2024; 15:1398802. [PMID: 39091494 PMCID: PMC11291233 DOI: 10.3389/fimmu.2024.1398802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Accepted: 07/03/2024] [Indexed: 08/04/2024] Open
Abstract
Background Lung adenocarcinoma accounts for the majority of lung cancer cases and impact survival rate of patients severely. Immunotherapy is an effective treatment for lung adenocarcinoma but is restricted by many factors including immune checkpoint expression and the inhibitory immune microenvironment. This study aimed to explore the immune microenvironment in lung adenocarcinoma via disulfidptosis. Methods Public datasets of lung adenocarcinoma from the TCGA and GEO was adopted as the training and validation cohort. Based on the differences in the expression of disulfidptosis -related genes, a glucose metabolism and immune response prognostic model was constructed. The prognostic value and clinical relationship of the model were further explored. Immune-related analyses were performed according to CIBERSORT, ssGSEA, TIDE, IPS. Results We verified that the model could accurately predict the survival expectancy of lung adenocarcinoma patients. Patients with lung adenocarcinoma and a low-risk score had better survival outcomes according to the model. Moreover, the high-risk group tended to have an immunosuppressive effect, as reflected by the immune cell components, phenotypes and functions. We also found that the clinically relevant immune checkpoint CTLA-4 was significantly higher in low-risk group (P<0.05), indicating that the high-risk group may suffer worse tumor immunotherapy efficacy. Finally, we found that this model has accurate predictive value for the efficacy of immune checkpoint blockade in non-small cell lung cancer (P<0.05). Conclusion The prognostic model demonstrated the feasibility of predicting survival and immunotherapy efficacy via disulfidptosis-related genes and will facilitate the development of personalized anticancer therapy.
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Affiliation(s)
- Kai Zhang
- Department of Oncology, 920th Hospital of Joint Logistics Support Force, Kunming, China
| | - Gang Li
- Graduate School, Kunming Medical University, Kunming, China
| | - Qin Wang
- Graduate School, Kunming Medical University, Kunming, China
| | - Xin Liu
- Department of Thoracic Surgery, Second Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Hong Chen
- Department of Oncology, 920th Hospital of Joint Logistics Support Force, Kunming, China
| | - Fuqiang Li
- Department of Traditional Chinese Medicine, 920th Hospital of Joint Logistics Support Force, Kunming, China
| | - Shuangyan Li
- Graduate School, Kunming Medical University, Kunming, China
| | - Xinmao Song
- Department of Radiation Oncology, Ear, Nose & Throat Hospital of Fudan University, Shanghai, China
| | - Yi Li
- Department of Oncology, 920th Hospital of Joint Logistics Support Force, Kunming, China
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2
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Wang Z, Zhang Y, Yang X, Zhang T, Li Z, Zhong Y, Fang Y, Chong W, Chen H, Lu M. Genetic and molecular characterization of metabolic pathway-based clusters in esophageal squamous cell carcinoma. Sci Rep 2024; 14:6200. [PMID: 38486026 PMCID: PMC10940668 DOI: 10.1038/s41598-024-56391-w] [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: 12/29/2023] [Accepted: 03/06/2024] [Indexed: 03/18/2024] Open
Abstract
Esophageal squamous cell carcinoma (ESCC) is one of the most aggressive types of squamous cell carcinoma and represents a significant proportion of esophageal cancer. Metabolic reprogramming plays a key role in the occurrence and development of ESCC. Unsupervised clustering analysis was employed to stratify ESCC samples into three clusters: MPC1-lipid type, MPC2-amino acid type, and MPC3-energy type, based on the enrichment scores of metabolic pathways extracted from the Reactome database. The MPC3 cluster exhibited characteristics of energy metabolism, with heightened glycolysis, cofactors, and nucleotide metabolism, showing a trend toward increased aggressiveness and poorer survival rates. On the other hand, MPC1 and MPC2 primarily involved lipid and amino acid metabolism, respectively. In addition, liquid chromatography‒mass spectrometry-based metabolite profiles and potential therapeutic agents were explored and compared among ESCC cell lines with different MPCs. MPC3 amplified energy metabolism markers, especially carnitines. In contrast, MPC1 and MPC2 predominantly had elevated levels of lipids (primarily triacylglycerol) and amino acids, respectively. Furthermore, MPC3 demonstrated a suboptimal clinical response to PD-L1 immunotherapy but showed increased sensitivity to the doramapimod chemotherapy regimen, as evident from drug sensitivity evaluations. These insights pave the way for a more personalized therapeutic approach, potentially enhancing treatment precision for ESCC patients.
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Affiliation(s)
- Ze Wang
- Clinical Epidemiology Unit, Clinical Research Center of Shandong University, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
- Department of Epidemiology and Health Statistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Yuan Zhang
- Clinical Epidemiology Unit, Clinical Research Center of Shandong University, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Xiaorong Yang
- Clinical Epidemiology Unit, Clinical Research Center of Shandong University, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Tongchao Zhang
- Clinical Epidemiology Unit, Clinical Research Center of Shandong University, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Zhen Li
- Clinical Epidemiology Unit, Clinical Research Center of Shandong University, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
- Department of Epidemiology and Health Statistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Yang Zhong
- Clinical Epidemiology Unit, Clinical Research Center of Shandong University, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
- Department of Epidemiology and Health Statistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Yuan Fang
- Clinical Epidemiology Unit, Clinical Research Center of Shandong University, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
- Department of Epidemiology and Health Statistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Wei Chong
- Department of Gastrointestinal Surgery, Key Laboratory of Engineering of Shandong Province, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Hao Chen
- Clinical Epidemiology Unit, Clinical Research Center of Shandong University, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China.
| | - Ming Lu
- Clinical Epidemiology Unit, Clinical Research Center of Shandong University, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China.
- Department of Epidemiology and Health Statistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China.
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3
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Li K, Liu W, Yu H, Chen J, Tang W, Wang J, Qi M, Sun Y, Xu X, Zhang J, Li X, Guo W, Li X, Song S, Tang S. 68Ga-FAPI PET imaging monitors response to combined TGF-βR inhibition and immunotherapy in metastatic colorectal cancer. J Clin Invest 2024; 134:e170490. [PMID: 38175716 PMCID: PMC10866654 DOI: 10.1172/jci170490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 12/29/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUNDImproving and predicting tumor response to immunotherapy remains challenging. Combination therapy with a transforming growth factor-β receptor (TGF-βR) inhibitor that targets cancer-associated fibroblasts (CAFs) is promising for the enhancement of efficacy of immunotherapies. However, the effect of this approach in clinical trials is limited, requiring in vivo methods to better assess tumor responses to combination therapy.METHODSWe measured CAFs in vivo using the 68Ga-labeled fibroblast activation protein inhibitor-04 (68Ga-FAPI-04) for PET/CT imaging to guide the combination of TGF-β inhibition and immunotherapy. One hundred thirty-one patients with metastatic colorectal cancer (CRC) underwent 68Ga-FAPI and 18F-fluorodeoxyglucose (18F-FDG) PET/CT imaging. The relationship between uptake of 68Ga-FAPI and tumor immunity was analyzed in patients. Mouse cohorts of metastatic CRC were treated with the TGF-βR inhibitor combined with KN046, which blocks programmed death ligand 1 (PD-L1) and CTLA-4, followed by 68Ga-FAPI and 18F-FDG micro-PET/CT imaging to assess tumor responses.RESULTSPatients with metastatic CRC demonstrated high uptake rates of 68Ga-FAPI, along with suppressive tumor immunity and poor prognosis. The TGF-βR inhibitor enhanced tumor-infiltrating T cells and significantly sensitized metastatic CRC to KN046. 68Ga-FAPI PET/CT imaging accurately monitored the dynamic changes of CAFs and tumor response to combined the TGF-βR inhibitor with immunotherapy.CONCLUSION68Ga-FAPI PET/CT imaging is powerful in assessing tumor immunity and the response to immunotherapy in metastatic CRC. This study supports future clinical application of 68Ga-FAPI PET/CT to guide precise TGF-β inhibition plus immunotherapy in CRC patients, recommending 68Ga-FAPI and 18F-FDG dual PET/CT for CRC management.TRIAL REGISTRATIONCFFSTS Trial, ChiCTR2100053984, Chinese Clinical Trial Registry.FUNDINGNational Natural Science Foundation of China (82072695, 32270767, 82272035, 81972260).
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Affiliation(s)
- Ke Li
- Cancer Institute, Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, China
- Center for Biomedical Imaging, Fudan University, Shanghai, China
- Shanghai Engineering Research Center of Molecular Imaging Probes, Shanghai, China
- Department of Oncology and
| | - Wei Liu
- Cancer Institute, Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, China
- Center for Biomedical Imaging, Fudan University, Shanghai, China
- Shanghai Engineering Research Center of Molecular Imaging Probes, Shanghai, China
- Department of Oncology and
| | - Hang Yu
- Cancer Institute, Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, China
- Center for Biomedical Imaging, Fudan University, Shanghai, China
- Shanghai Engineering Research Center of Molecular Imaging Probes, Shanghai, China
- Department of Oncology and
| | - Jiwei Chen
- Cancer Institute, Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Wenxuan Tang
- Cancer Institute, Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, China
- School of Clinical Medicine, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jianpeng Wang
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Ming Qi
- Cancer Institute, Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, China
- Center for Biomedical Imaging, Fudan University, Shanghai, China
- Shanghai Engineering Research Center of Molecular Imaging Probes, Shanghai, China
- Department of Oncology and
| | - Yuyun Sun
- Cancer Institute, Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, China
- Center for Biomedical Imaging, Fudan University, Shanghai, China
- Shanghai Engineering Research Center of Molecular Imaging Probes, Shanghai, China
- Department of Oncology and
| | - Xiaoping Xu
- Cancer Institute, Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, China
- Center for Biomedical Imaging, Fudan University, Shanghai, China
- Shanghai Engineering Research Center of Molecular Imaging Probes, Shanghai, China
- Department of Oncology and
| | - Ji Zhang
- Cancer Institute, Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, China
- Center for Biomedical Imaging, Fudan University, Shanghai, China
- Shanghai Engineering Research Center of Molecular Imaging Probes, Shanghai, China
- Department of Oncology and
| | - Xinxiang Li
- Department of Oncology and
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Weijian Guo
- Department of Oncology and
- Department of Gastrointestinal Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Xiaoling Li
- Signal Transduction Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| | - Shaoli Song
- Cancer Institute, Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, China
- Center for Biomedical Imaging, Fudan University, Shanghai, China
- Shanghai Engineering Research Center of Molecular Imaging Probes, Shanghai, China
- Department of Oncology and
| | - Shuang Tang
- Cancer Institute, Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, China
- Center for Biomedical Imaging, Fudan University, Shanghai, China
- Shanghai Engineering Research Center of Molecular Imaging Probes, Shanghai, China
- Department of Oncology and
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Mertens RT, Kim JH, Ofori S, Olelewe C, Kamitsuka PJ, Kwakye GF, Awuah SG. A gold-based inhibitor of oxidative phosphorylation is effective against triple negative breast cancer. Biomed Pharmacother 2024; 170:116010. [PMID: 38128183 PMCID: PMC11254167 DOI: 10.1016/j.biopha.2023.116010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 11/28/2023] [Accepted: 12/13/2023] [Indexed: 12/23/2023] Open
Abstract
Triple-negative breast cancer (TNBC) is associated with metabolic heterogeneity and poor prognosis with limited treatment options. New treatment paradigms for TNBC remains an unmet need. Thus, therapeutics that target metabolism are particularly attractive approaches. We previously designed organometallic Au(III) compounds capable of modulating mitochondrial respiration by ligand tuning with high anticancer potency in vitro and in vivo. Here, we show that an efficacious Au(III) dithiocarbamate (AuDTC) compound induce mitochondrial dysfunction and oxidative damage in cancer cells. Efficacy of AuDTC in TNBC mouse models harboring mitochondrial oxidative phosphorylation (OXPHOS) dependence and metabolic heterogeneity establishes its therapeutic potential following systemic delivery. This provides evidence that AuDTC is an effective modulator of mitochondrial respiration worthy of clinical development in the context of TNBC. ONE SENTENCE SUMMARY: Metabolic-targeting of triple-negative breast cancer by gold anticancer agent may provide efficacious therapy.
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Affiliation(s)
- R Tyler Mertens
- Department of Chemistry, University of Kentucky; Lexington, KY 40506, United States
| | - Jong Hyun Kim
- Department of Chemistry, University of Kentucky; Lexington, KY 40506, United States
| | - Samuel Ofori
- Department of Chemistry, University of Kentucky; Lexington, KY 40506, United States; Department of Neuroscience, Oberlin College, Oberlin, OH 44074, United States; Department of Pharmaceutical Sciences, College of Pharmacy, University of Kentucky, Lexington, KY 40536, United States; University of Kentucky Markey Cancer Center, USA
| | - Chibuzor Olelewe
- Department of Chemistry, University of Kentucky; Lexington, KY 40506, United States; Department of Neuroscience, Oberlin College, Oberlin, OH 44074, United States; Department of Pharmaceutical Sciences, College of Pharmacy, University of Kentucky, Lexington, KY 40536, United States; University of Kentucky Markey Cancer Center, USA
| | - Paul J Kamitsuka
- Department of Neuroscience, Oberlin College, Oberlin, OH 44074, United States
| | - Gunnar F Kwakye
- Department of Neuroscience, Oberlin College, Oberlin, OH 44074, United States
| | - Samuel G Awuah
- Department of Chemistry, University of Kentucky; Lexington, KY 40506, United States; Department of Pharmaceutical Sciences, College of Pharmacy, University of Kentucky, Lexington, KY 40536, United States; University of Kentucky Markey Cancer Center, USA.
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5
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Farahzadi R, Valipour B, Fathi E, Pirmoradi S, Molavi O, Montazersaheb S, Sanaat Z. Oxidative stress regulation and related metabolic pathways in epithelial-mesenchymal transition of breast cancer stem cells. Stem Cell Res Ther 2023; 14:342. [PMID: 38017510 PMCID: PMC10685711 DOI: 10.1186/s13287-023-03571-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 11/15/2023] [Indexed: 11/30/2023] Open
Abstract
Epithelial-mesenchymal transition (EMT) is a cell remodeling process in which epithelial cells undergo a reversible phenotype switch via the loss of adhesion capacity and acquisition of mesenchymal characteristics. In other words, EMT activation can increase invasiveness and metastatic properties, and prevent the sensitivity of tumor cells to chemotherapeutics, as mesenchymal cells have a higher resistance to chemotherapy and immunotherapy. EMT is orchestrated by a complex and multifactorial network, often linked to episodic, transient, or partial events. A variety of factors have been implicated in EMT development. Based on this concept, multiple metabolic pathways and master transcription factors, such as Snail, Twist, and ZEB, can drive the EMT. Emerging evidence suggests that oxidative stress plays a significant role in EMT induction. One emerging theory is that reducing mitochondrial-derived reactive oxygen species production may contribute to EMT development. This review describes how metabolic pathways and transcription factors are linked to EMT induction and addresses the involvement of signaling pathways.
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Affiliation(s)
- Raheleh Farahzadi
- Hematology and Oncology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Behnaz Valipour
- Department of Anatomical Sciences, Sarab Faculty of Medical Sciences, Sarab, Iran
| | - Ezzatollah Fathi
- Department of Clinical Sciences, Faculty of Veterinary Medicine, University of Tabriz, Tabriz, Iran
| | - Samaneh Pirmoradi
- Cellular and Molecular Research Center, Cellular and Molecular Medicine Research Institute, Urmia University of Medical Sciences, Urmia, Iran
| | - Ommoleila Molavi
- Department of Pharmaceutical Biotechnology, Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran
- Molecular Medicine Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Soheila Montazersaheb
- Molecular Medicine Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
| | - Zohreh Sanaat
- Hematology and Oncology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
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Lei L, Yang F, Meng X, Xu L, Liang P, Ma Y, Dong Z, Wang Y, Zhang XB, Song G. Noninvasive Imaging of Tumor Glycolysis and Chemotherapeutic Resistance via De Novo Design of Molecular Afterglow Scaffold. J Am Chem Soc 2023; 145:24386-24400. [PMID: 37883689 DOI: 10.1021/jacs.3c09473] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
Chemotherapeutic resistance poses a significant challenge in cancer treatment, resulting in the reduced efficacy of standard chemotherapeutic agents. Abnormal metabolism, particularly increased anaerobic glycolysis, has been identified as a major contributing factor to chemotherapeutic resistance. To address this issue, noninvasive imaging techniques capable of visualizing tumor glycolysis are crucial. However, the currently available methods (such as PET, MRI, and fluorescence) possess limitations in terms of sensitivity, safety, dynamic imaging capability, and autofluorescence. Here, we present the de novo design of a unique afterglow molecular scaffold based on hemicyanine and rhodamine dyes, which holds promise for low-background optical imaging. In contrast to previous designs, this scaffold exhibits responsive "OFF-ON" afterglow signals through spirocyclization, thus enabling simultaneous control of photodynamic effects and luminescence efficacy. This leads to a larger dynamic range, broader detection range, higher signal enhancement ratio, and higher sensitivity. Furthermore, the integration of multiple functionalities simplifies probe design, eliminates the need for spectral overlap, and enhances reliability. Moreover, we have expanded the applications of this afterglow molecular scaffold by developing various probes for different molecular targets. Notably, we developed a water-soluble pH-responsive afterglow nanoprobe for visualizing glycolysis in living mice. This nanoprobe monitors the effects of glycolytic inhibitors or oxidative phosphorylation inhibitors on tumor glycolysis, providing a valuable tool for evaluating the tumor cell sensitivity to these inhibitors. Therefore, the new afterglow molecular scaffold presents a promising approach for understanding tumor metabolism, monitoring chemotherapeutic resistance, and guiding precision medicine in the future.
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Affiliation(s)
- Lingling Lei
- Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, Hunan 410082, China
| | - Fengrui Yang
- Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, Hunan 410082, China
| | - Xin Meng
- Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, Hunan 410082, China
| | - Li Xu
- Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, Hunan 410082, China
| | - Peng Liang
- Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, Hunan 410082, China
| | - Yuan Ma
- Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, Hunan 410082, China
| | - Zhe Dong
- Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, Hunan 410082, China
| | - Youjuan Wang
- Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, Hunan 410082, China
| | - Xiao-Bing Zhang
- Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, Hunan 410082, China
| | - Guosheng Song
- Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, Hunan 410082, China
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Sunassee ED, Jardim-Perassi BV, Madonna MC, Ordway B, Ramanujam N. Metabolic Imaging as a Tool to Characterize Chemoresistance and Guide Therapy in Triple-Negative Breast Cancer (TNBC). Mol Cancer Res 2023; 21:995-1009. [PMID: 37343066 PMCID: PMC10592445 DOI: 10.1158/1541-7786.mcr-22-1004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 04/07/2023] [Accepted: 06/15/2023] [Indexed: 06/23/2023]
Abstract
After an initial response to chemotherapy, tumor relapse is frequent. This event is reflective of both the spatiotemporal heterogeneities of the tumor microenvironment as well as the evolutionary propensity of cancer cell populations to adapt to variable conditions. Because the cause of this adaptation could be genetic or epigenetic, studying phenotypic properties such as tumor metabolism is useful as it reflects molecular, cellular, and tissue-level dynamics. In triple-negative breast cancer (TNBC), the characteristic metabolic phenotype is a highly fermentative state. However, during treatment, the spatial and temporal dynamics of the metabolic landscape are highly unstable, with surviving populations taking on a variety of metabolic states. Thus, longitudinally imaging tumor metabolism provides a promising approach to inform therapeutic strategies, and to monitor treatment responses to understand and mitigate recurrence. Here we summarize some examples of the metabolic plasticity reported in TNBC following chemotherapy and review the current metabolic imaging techniques available in monitoring chemotherapy responses clinically and preclinically. The ensemble of imaging technologies we describe has distinct attributes that make them uniquely suited for a particular length scale, biological model, and/or features that can be captured. We focus on TNBC to highlight the potential of each of these technological advances in understanding evolution-based therapeutic resistance.
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Affiliation(s)
- Enakshi D. Sunassee
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | | | - Megan C. Madonna
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Bryce Ordway
- Department of Cancer Physiology, Moffitt Cancer Center, Tampa, FL 33612, USA
- Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Nirmala Ramanujam
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
- Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, NC 27708, USA
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8
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Wang Q, Sun K, Liu R, Song Y, Lv Y, Bi P, Yang F, Li S, Zhao J, Li X, Chen D, Mei J, Yang R, Chen K, Liu D, Tang S. Single-cell transcriptome sequencing of B-cell heterogeneity and tertiary lymphoid structure predicts breast cancer prognosis and neoadjuvant therapy efficacy. Clin Transl Med 2023; 13:e1346. [PMID: 37525587 PMCID: PMC10390819 DOI: 10.1002/ctm2.1346] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 07/15/2023] [Accepted: 07/19/2023] [Indexed: 08/02/2023] Open
Abstract
BACKGROUND Breast cancer (BC) is a highly heterogeneous disease, and although immunotherapy has recently increased patient survival in a number of solid and hematologic malignancies, most BC subtypes respond poorly to immune checkpoint blockade therapy (ICB). B cells, particularly those that congregate in tertiary lymphoid structures (TLS), play a significant role in antitumour immunity. However, B-cell heterogeneity at single-cell resolution and its clinical significance with TLS in BC need to be explored further. METHODS Primary tumour lesions and surrounding normal tissues were taken from 14 BC patients, totaling 124,587 cells, for single-cell transcriptome sequencing and bioinformatics analysis. RESULTS Based on the usual markers, the single-cell transcriptome profiles were classified into various clusters. A thorough single-cell study was conducted with a focus on tumour-infiltrating B cells (TIL-B) and tumour-associated neutrophils (TAN). TIL-B was divided into five clusters, and unusual cell types, such as follicular B cells, which are strongly related to immunotherapy efficacy, were identified. In BC, TAN and TIL-B infiltration are positively correlated, and at the same time, compared with TLS-high, TAN and TIL-B in TLS-low group are significantly positively correlated. CONCLUSIONS In conclusion, our study highlights the heterogeneity of B cells in BC, explains how B cells and TLS contribute significantly to antitumour immunity at both the single-cell and clinical level, and offers a straightforward marker for TLS called CD23. These results will offer more pertinent information on the applicability and effectiveness of tumour immunotherapy for BC.
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Affiliation(s)
- Qing Wang
- Department of Breast SurgeryCaner Hospital of Yunnan ProvinceThe Third Affiliated Hospital of Kunming Medical UniversityKunmingChina
| | - Ke Sun
- State Key Laboratory of Primate Biomedical ResearchInstitute of Primate Translational MedicineKunming University of Science and TechnologyKunmingChina
- Yunnan Key Laboratory of Primate Biomedical ResearchKunmingChina
| | - Rui Liu
- Department of Breast SurgeryCaner Hospital of Yunnan ProvinceThe Third Affiliated Hospital of Kunming Medical UniversityKunmingChina
| | - Ying Song
- Department of Breast SurgeryCaner Hospital of Yunnan ProvinceThe Third Affiliated Hospital of Kunming Medical UniversityKunmingChina
| | - Yafeng Lv
- Department of Breast SurgeryCaner Hospital of Yunnan ProvinceThe Third Affiliated Hospital of Kunming Medical UniversityKunmingChina
| | - Pingping Bi
- Department of Breast SurgeryCaner Hospital of Yunnan ProvinceThe Third Affiliated Hospital of Kunming Medical UniversityKunmingChina
| | - Fuying Yang
- Department of Breast SurgeryCaner Hospital of Yunnan ProvinceThe Third Affiliated Hospital of Kunming Medical UniversityKunmingChina
| | - Sijia Li
- Department of Breast SurgeryCaner Hospital of Yunnan ProvinceThe Third Affiliated Hospital of Kunming Medical UniversityKunmingChina
| | - Jiawen Zhao
- Department of Breast SurgeryCaner Hospital of Yunnan ProvinceThe Third Affiliated Hospital of Kunming Medical UniversityKunmingChina
| | - Xiuqin Li
- Department of Breast SurgeryCaner Hospital of Yunnan ProvinceThe Third Affiliated Hospital of Kunming Medical UniversityKunmingChina
| | - Dong Chen
- Department of UltrasoundCaner Hospital of Yunnan ProvinceThe Third Affiliated Hospital of Kunming Medical UniversityKunmingChina
| | - Jialin Mei
- Department of Cardiothoracic SurgeryBaoshan People's HospitalBaoshanChina
| | - Rirong Yang
- Center for Genomic and Personalized MedicineGuangxi Medical UniversityNanningChina
- Department of ImmunologySchool of Basic Medical SciencesGuangxi Medical UniversityNanningChina
| | - Kai Chen
- State Key Laboratory of Primate Biomedical ResearchInstitute of Primate Translational MedicineKunming University of Science and TechnologyKunmingChina
- Yunnan Key Laboratory of Primate Biomedical ResearchKunmingChina
| | - Dequan Liu
- Department of Breast SurgeryCaner Hospital of Yunnan ProvinceThe Third Affiliated Hospital of Kunming Medical UniversityKunmingChina
| | - Shichong Tang
- Department of Breast SurgeryCaner Hospital of Yunnan ProvinceThe Third Affiliated Hospital of Kunming Medical UniversityKunmingChina
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9
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Plaza-Diaz J, Álvarez-Mercado AI. The Interplay between Microbiota and Chemotherapy-Derived Metabolites in Breast Cancer. Metabolites 2023; 13:703. [PMID: 37367861 DOI: 10.3390/metabo13060703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 05/23/2023] [Accepted: 05/26/2023] [Indexed: 06/28/2023] Open
Abstract
The most common cancer in women is breast cancer, which is also the second leading cause of death in this group. It is, however, important to note that some women will develop or will not develop breast cancer regardless of whether certain known risk factors are present. On the other hand, certain compounds are produced by bacteria in the gut, such as short-chain fatty acids, secondary bile acids, and other metabolites that may be linked to breast cancer development and mediate the chemotherapy response. Modeling the microbiota through dietary intervention and identifying metabolites directly associated with breast cancer and its complications may be useful to identify actionable targets and improve the effect of antiangiogenic therapies. Metabolomics is therefore a complementary approach to metagenomics for this purpose. As a result of the combination of both techniques, a better understanding of molecular biology and oncogenesis can be obtained. This article reviews recent literature about the influence of bacterial metabolites and chemotherapy metabolites in breast cancer patients, as well as the influence of diet.
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Affiliation(s)
- Julio Plaza-Diaz
- Department of Biochemistry and Molecular Biology II, School of Pharmacy, University of Granada, 18071 Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Complejo Hospitalario Universitario de Granada, 18014 Granada, Spain
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON K1H 8L1, Canada
| | - Ana Isabel Álvarez-Mercado
- Department of Biochemistry and Molecular Biology II, School of Pharmacy, University of Granada, 18071 Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Complejo Hospitalario Universitario de Granada, 18014 Granada, Spain
- Institute of Nutrition and Food Technology, Biomedical Research Center, University of Granada, 18016 Armilla, Spain
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Abstract
Metabolic alterations are a key hallmark of cancer cells, and the augmented synthesis and use of nucleotide triphosphates is a critical and universal metabolic dependency of cancer cells across different cancer types and genetic backgrounds. Many of the aggressive behaviours of cancer cells, including uncontrolled proliferation, chemotherapy resistance, immune evasion and metastasis, rely heavily on augmented nucleotide metabolism. Furthermore, most of the known oncogenic drivers upregulate nucleotide biosynthetic capacity, suggesting that this phenotype is a prerequisite for cancer initiation and progression. Despite the wealth of data demonstrating the efficacy of nucleotide synthesis inhibitors in preclinical cancer models and the well-established clinical use of these drugs in certain cancer settings, the full potential of these agents remains unrealized. In this Review, we discuss recent studies that have generated mechanistic insights into the diverse biological roles of hyperactive cancer cell nucleotide metabolism. We explore opportunities for combination therapies that are highlighted by these recent advances and detail key questions that remain to be answered, with the goal of informing urgently warranted future studies.
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Affiliation(s)
- Nicholas J Mullen
- Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE, USA
| | - Pankaj K Singh
- Department of Oncology Science, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
- Department of Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
- OU Health Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
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Tőkés AM, Vári-Kakas S, Kulka J, Törőcsik B. Tumor Glucose and Fatty Acid Metabolism in the Context of Anthracycline and Taxane-Based (Neo)Adjuvant Chemotherapy in Breast Carcinomas. Front Oncol 2022; 12:850401. [PMID: 35433453 PMCID: PMC9008716 DOI: 10.3389/fonc.2022.850401] [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: 01/07/2022] [Accepted: 03/08/2022] [Indexed: 12/13/2022] Open
Abstract
Breast cancer is characterized by considerable metabolic diversity. A relatively high percentage of patients diagnosed with breast carcinoma do not respond to standard-of-care treatment, and alteration in metabolic pathways nowadays is considered one of the major mechanisms responsible for therapeutic resistance. Consequently, there is an emerging need to understand how metabolism shapes therapy response, therapy resistance and not ultimately to analyze the metabolic changes occurring after different treatment regimens. The most commonly applied neoadjuvant chemotherapy regimens in breast cancer contain an anthracycline (doxorubicin or epirubicin) in combination or sequentially administered with taxanes (paclitaxel or docetaxel). Despite several efforts, drug resistance is still frequent in many types of breast cancer, decreasing patients’ survival. Understanding how tumor cells rapidly rewire their signaling pathways to persist after neoadjuvant cancer treatment have to be analyzed in detail and in a more complex system to enable scientists to design novel treatment strategies that target different aspects of tumor cells and tumor resistance. Tumor heterogeneity, the rapidly changing environmental context, differences in nutrient use among different cell types, the cooperative or competitive relationships between cells pose additional challenges in profound analyzes of metabolic changes in different breast carcinoma subtypes and treatment protocols. Delineating the contribution of metabolic pathways to tumor differentiation, progression, and resistance to different drugs is also the focus of research. The present review discusses the changes in glucose and fatty acid pathways associated with the most frequently applied chemotherapeutic drugs in breast cancer, as well the underlying molecular mechanisms and corresponding novel therapeutic strategies.
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Affiliation(s)
- Anna Mária Tőkés
- 2nd Department of Pathology, Semmelweis University Budapest, Budapest, Hungary
- *Correspondence: Anna Mária Tőkés,
| | - Stefan Vári-Kakas
- Department of Computers and Information Technology, Faculty of Electrical Engineering and Information Technology, University of Oradea, Oradea, Romania
| | - Janina Kulka
- 2nd Department of Pathology, Semmelweis University Budapest, Budapest, Hungary
| | - Beáta Törőcsik
- Department of Biochemistry, Semmelweis University Budapest, Budapest, Hungary
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12
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Metabolic Features of Saliva in Breast Cancer Patients. Metabolites 2022; 12:metabo12020166. [PMID: 35208240 PMCID: PMC8879753 DOI: 10.3390/metabo12020166] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 01/27/2022] [Accepted: 02/05/2022] [Indexed: 12/31/2022] Open
Abstract
The aim of the work was to study the metabolic characteristics of saliva in breast cancer and the subsequent assessment of the potential information content of its individual biochemical indicators. The study included 487 patients of the Omsk Clinical Oncology Center with morphologically verified breast cancer and 298 volunteers without breast pathologies. Saliva samples were obtained from all patients before the start of treatment, and the values of 34 biochemical indicators were determined. It has been shown that concentration of total protein, urea, uric acid (UA), the total content of α-amino acids and lipid peroxidation products, and the activity of metabolic and antioxidant enzymes (in particular catalase—CAT) of saliva changed significantly in breast cancer. Biochemical indicators characterizing early breast cancer have been identified, which can be used for timely diagnosis in addition to existing methods. The coefficients UA/Urea and UA·CAT/Urea are proposed, for which the maximum deviation from the norm was observed in the early stages of the disease. It was shown that for ductal breast cancer, changes in the activity of metabolic enzymes of saliva were more pronounced, while, for lobular breast cancer, the indicators of enzymatic and non-enzymatic components of antioxidant protection changed. The results confirmed the potential importance of saliva in the diagnosis of breast cancer.
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Zhang D, He Z, Shen Y, Wang J, Liu T, Jiang J. MiR-489-3p Reduced Pancreatic Cancer Proliferation and Metastasis By Targeting PKM2 and LDHA Involving Glycolysis. Front Oncol 2021; 11:651535. [PMID: 34868902 PMCID: PMC8632778 DOI: 10.3389/fonc.2021.651535] [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: 02/10/2021] [Accepted: 10/14/2021] [Indexed: 01/03/2023] Open
Abstract
Introduction Malignant proliferation and metastasis are some of the causes of high mortality in pancreatic cancer. MicroRNAs have been a hot spot in cancer research and are involved in tumor formation and metabolic stress responses. However, the biology function and underlying mechanism of miRNA regulating pancreatic cancer progress is remained uncleared. Methods RNA-seq analysis the glycolysis associated miRNAs and verified miRNA-489-3p was involving in glycolysis. We used RNA in situ hybridization (ISH) and qRT-PCR to analyze the differential expression of miR-489-3p in pancreatic cancer tissues and adjacent tissues and cell lines. Then the function assay of in vivo and in vitro were used to evaluated the role of miR-489-3p in the proliferation, metastasis and glucose metabolism of pancreatic cancer. Furthermore, dual luciferase reporter and rescue experiments were performed to explore the mechanism underlying in the role of miRNA-489-3p. Results We determined that glycolysis associated miRNA miR-489-3p was downregulated in pancreatic cancer tissues and cell lines. The gain and loos of function experiments confirmed that miR-489-3p could inhibit the proliferation, metastasis and glucose metabolism of pancreatic cancer. Further, we found that miR-489-3p could target regulating LDHA and PKM through the luciferase report experiment. Finally, in vivo experiment confirmed that highly expressed miR-489-3p inhibited the growth of pancreatic cancer. Conclusion In short, this study identified miR-489-3p as a novel therapy target for pancreatic cancer which was involving in the proliferation, metastasis and glycolysis, but its diagnostic value deserves further study.
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Affiliation(s)
- Dan Zhang
- Department of Hepatobiliary Surgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Zhiwei He
- Department of Hepatic-Biliary-Pancreatic Surgery, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Yiyi Shen
- Department of Hepatic-Biliary-Pancreatic Surgery, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Jie Wang
- Department of Hepatobiliary Surgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Tao Liu
- Department of Hepatic-Biliary-Pancreatic Surgery, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Jianxin Jiang
- Department of Hepatobiliary Surgery, Renmin Hospital of Wuhan University, Wuhan, China
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