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Jani Y, Jansen CS, Gerke MB, Bilen MA. Established and emerging biomarkers of immunotherapy in renal cell carcinoma. Immunotherapy 2024; 16:405-426. [PMID: 38264827 DOI: 10.2217/imt-2023-0267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2024] Open
Abstract
Immunotherapies, such as immune checkpoint inhibitors, have heralded impressive progress for patient care in renal cell carcinoma (RCC). Despite this success, some patients' disease fails to respond, and other patients experience significant side effects. Thus, development of biomarkers is needed to ensure that patients can be selected to maximize benefit from immunotherapies. Improving clinicians' ability to predict which patients will respond to immunotherapy and which are most at risk of adverse events - namely through clinical biomarkers - is indispensable for patient safety and therapeutic efficacy. Accordingly, an evolving suite of therapeutic biomarkers continues to be investigated. This review discusses biomarkers for immunotherapy in RCC, highlighting current practices and emerging innovations, aiming to contribute to improved outcomes for patients with RCC.
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Affiliation(s)
- Yash Jani
- Mercer University, Macon, GA 31207, USA
| | - Caroline S Jansen
- Emory University School of Medicine, Atlanta, GA 30322, USA
- Winship Cancer Institute of Emory University, Atlanta, GA 30322, USA
| | - Margo B Gerke
- Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Mehmet Asim Bilen
- Winship Cancer Institute of Emory University, Atlanta, GA 30322, USA
- Department of Hematology & Medical Oncology, Emory University School of Medicine, Atlanta, GA 30322, USA
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2
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Gouzerh F, Vigo G, Dormont L, Buatois B, Hervé MR, Mancini M, Maraver A, Thomas F, Ganem G. Urinary VOCs as biomarkers of early stage lung tumour development in mice. Cancer Biomark 2024; 39:113-125. [PMID: 37980646 PMCID: PMC11002722 DOI: 10.3233/cbm-230070] [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: 02/21/2023] [Accepted: 10/05/2023] [Indexed: 11/21/2023]
Abstract
BACKGROUND Lung cancer is the primary cause of cancer-induced death. In addition to prevention and improved treatment, it has increasingly been established that early detection is critical to successful remission. OBJECTIVE The aim of this study was to identify volatile organic compounds (VOCs) in urine that could help diagnose mouse lung cancer at an early stage of its development. METHODS We analysed the VOC composition of urine in a genetically engineered lung adenocarcinoma mouse model with oncogenic EGFR doxycycline-inducible lung-specific expression. We compared the urinary VOCs of 10 cancerous mice and 10 healthy mice (controls) before and after doxycycline induction, every two weeks for 12 weeks, until full-blown carcinomas appeared. We used SPME fibres and gas chromatography - mass spectrometry to detect variations in cancer-related urinary VOCs over time. RESULTS This study allowed us to identify eight diagnostic biomarkers that help discriminate early stages of cancer tumour development (i.e., before MRI imaging techniques could identify it). CONCLUSION The analysis of mice urinary VOCs have shown that cancer can induce changes in odour profiles at an early stage of cancer development, opening a promising avenue for early diagnosis of lung cancer in other models.
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Affiliation(s)
- Flora Gouzerh
- CREEC/MIVEGEC, Centre de Recherches Ecologiques et Evolutives sur le Cancer/Maladies Infectieuses et Vecteurs: Ecologie, Génétique, Evolution et Contrôle, UMR IRD 224-CNRS 5290-Université de Montpellier, Montpellier, France
- CEFE, Université Montpellier, CNRS, EPHE, IRD, Université Paul Valéry Montpellier 3, Montpellier, France
| | - Gwenaëlle Vigo
- CREEC/MIVEGEC, Centre de Recherches Ecologiques et Evolutives sur le Cancer/Maladies Infectieuses et Vecteurs: Ecologie, Génétique, Evolution et Contrôle, UMR IRD 224-CNRS 5290-Université de Montpellier, Montpellier, France
| | - Laurent Dormont
- CEFE, Université Montpellier, CNRS, EPHE, IRD, Université Paul Valéry Montpellier 3, Montpellier, France
| | - Bruno Buatois
- CEFE, Université Montpellier, CNRS, EPHE, IRD, Université Paul Valéry Montpellier 3, Montpellier, France
| | - Maxime R. Hervé
- IGEPP, Institut de Génétique, Environnement et Protection des Plantes, INRAE, Institut Agro, Université de Rennes, Rennes, France
| | - Maicol Mancini
- IRCM, Institut de Recherche en Cancérologie de Montpellier, Inserm U1194-ICM-Université Montpellier, Montpellier, France
| | - Antonio Maraver
- IRCM, Institut de Recherche en Cancérologie de Montpellier, Inserm U1194-ICM-Université Montpellier, Montpellier, France
| | - Frédéric Thomas
- CREEC/MIVEGEC, Centre de Recherches Ecologiques et Evolutives sur le Cancer/Maladies Infectieuses et Vecteurs: Ecologie, Génétique, Evolution et Contrôle, UMR IRD 224-CNRS 5290-Université de Montpellier, Montpellier, France
| | - Guila Ganem
- ISEM, Institut des Sciences de l’Evolution, UMR 5554, Université Montpellier, CNRS, IRD, Montpellier, France
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Monteduro AG, Rizzato S, Caragnano G, Trapani A, Giannelli G, Maruccio G. Organs-on-chips technologies – A guide from disease models to opportunities for drug development. Biosens Bioelectron 2023; 231:115271. [PMID: 37060819 DOI: 10.1016/j.bios.2023.115271] [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] [Received: 12/13/2021] [Revised: 11/24/2022] [Accepted: 03/26/2023] [Indexed: 04/03/2023]
Abstract
Current in-vitro 2D cultures and animal models present severe limitations in recapitulating human physiopathology with striking discrepancies in estimating drug efficacy and side effects when compared to human trials. For these reasons, microphysiological systems, organ-on-chip and multiorgans microdevices attracted considerable attention as novel tools for high-throughput and high-content research to achieve an improved understanding of diseases and to accelerate the drug development process towards more precise and eventually personalized standards. This review takes the form of a guide on this fast-growing field, providing useful introduction to major themes and indications for further readings. We start analyzing Organs-on-chips (OOC) technologies for testing the major drug administration routes: (1) oral/rectal route by intestine-on-a-chip, (2) inhalation by lung-on-a-chip, (3) transdermal by skin-on-a-chip and (4) intravenous through vascularization models, considering how drugs penetrate in the bloodstream and are conveyed to their targets. Then, we focus on OOC models for (other) specific organs and diseases: (1) neurodegenerative diseases with brain models and blood brain barriers, (2) tumor models including their vascularization, organoids/spheroids, engineering and screening of antitumor drugs, (3) liver/kidney on chips and multiorgan models for gastrointestinal diseases and metabolic assessment of drugs and (4) biomechanical systems recapitulating heart, muscles and bones structures and related diseases. Successively, we discuss technologies and materials for organ on chips, analyzing (1) microfluidic tools for organs-on-chips, (2) sensor integration for real-time monitoring, (3) materials and (4) cell lines for organs on chips. (Nano)delivery approaches for therapeutics and their on chip assessment are also described. Finally, we conclude with a critical discussion on current significance/relevance, trends, limitations, challenges and future prospects in terms of revolutionary impact on biomedical research, preclinical models and drug development.
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Affiliation(s)
- Anna Grazia Monteduro
- Omnics Research Group, Department of Mathematics and Physics "Ennio De Giorgi", University of Salento and Institute of Nanotechnology, CNR-Nanotec and INFN Sezione di Lecce, Via per Monteroni, 73100, Lecce, Italy
| | - Silvia Rizzato
- Omnics Research Group, Department of Mathematics and Physics "Ennio De Giorgi", University of Salento and Institute of Nanotechnology, CNR-Nanotec and INFN Sezione di Lecce, Via per Monteroni, 73100, Lecce, Italy
| | - Giusi Caragnano
- Omnics Research Group, Department of Mathematics and Physics "Ennio De Giorgi", University of Salento and Institute of Nanotechnology, CNR-Nanotec and INFN Sezione di Lecce, Via per Monteroni, 73100, Lecce, Italy
| | - Adriana Trapani
- Department of Pharmacy-Drug Sciences, University of Bari "Aldo Moro", Bari, Italy
| | - Gianluigi Giannelli
- National Institute of Gastroenterology IRCCS "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy
| | - Giuseppe Maruccio
- Omnics Research Group, Department of Mathematics and Physics "Ennio De Giorgi", University of Salento and Institute of Nanotechnology, CNR-Nanotec and INFN Sezione di Lecce, Via per Monteroni, 73100, Lecce, Italy.
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4
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Rosellini M, Marchetti A, Mollica V, Rizzo A, Santoni M, Massari F. Prognostic and predictive biomarkers for immunotherapy in advanced renal cell carcinoma. Nat Rev Urol 2023; 20:133-157. [PMID: 36414800 DOI: 10.1038/s41585-022-00676-0] [Citation(s) in RCA: 53] [Impact Index Per Article: 53.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/24/2022] [Indexed: 11/23/2022]
Abstract
The therapeutic algorithm of renal cell carcinoma has been revolutionized by the approval of immunotherapy agents by regulatory agencies. However, objective and durable responses are still not observed in a large number of patients, and prognostic and predictive biomarkers for immunotherapy response are urgently needed. Prognostic models used in clinical practice are based on clinical and laboratory factors (such as hypercalcaemia, neutrophil count or Karnofsky Performance Status), but, with progress in molecular biology and genome sequencing techniques, new renal cell carcinoma molecular features that might improve disease course and outcomes prediction have been highlighted. An implementation of current models is needed to improve the accuracy of prognosis in the immuno-oncology era. Moreover, several potential biomarkers are currently under evaluation, but effective markers to select patients who might benefit from immunotherapy and to guide therapeutic strategies are still far from validation.
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Affiliation(s)
- Matteo Rosellini
- Medical Oncology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Andrea Marchetti
- Medical Oncology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Veronica Mollica
- Medical Oncology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Alessandro Rizzo
- Struttura Semplice Dipartimentale di Oncologia Medica per la Presa in Carico Globale del Paziente Oncologico "Don Tonino Bello", I.R.C.C.S. Istituto Tumori "Giovanni Paolo II", Bari, Italy
| | | | - Francesco Massari
- Medical Oncology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.
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Li M, Li L, Zheng J, Li Z, Li S, Wang K, Chen X. Liquid biopsy at the frontier in renal cell carcinoma: recent analysis of techniques and clinical application. Mol Cancer 2023; 22:37. [PMID: 36810071 PMCID: PMC9942319 DOI: 10.1186/s12943-023-01745-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 02/11/2023] [Indexed: 02/23/2023] Open
Abstract
Renal cell carcinoma (RCC) is a major pathological type of kidney cancer and is one of the most common malignancies worldwide. The unremarkable symptoms of early stages, proneness to postoperative metastasis or recurrence, and low sensitivity to radiotherapy and chemotherapy pose a challenge for the diagnosis and treatment of RCC. Liquid biopsy is an emerging test that measures patient biomarkers, including circulating tumor cells, cell-free DNA/cell-free tumor DNA, cell-free RNA, exosomes, and tumor-derived metabolites and proteins. Owing to its non-invasiveness, liquid biopsy enables continuous and real-time collection of patient information for diagnosis, prognostic assessment, treatment monitoring, and response evaluation. Therefore, the selection of appropriate biomarkers for liquid biopsy is crucial for identifying high-risk patients, developing personalized therapeutic plans, and practicing precision medicine. In recent years, owing to the rapid development and iteration of extraction and analysis technologies, liquid biopsy has emerged as a low cost, high efficiency, and high accuracy clinical detection method. Here, we comprehensively review liquid biopsy components and their clinical applications over the past 5 years. Additionally, we discuss its limitations and predict its future prospects.
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Affiliation(s)
- Mingyang Li
- grid.412467.20000 0004 1806 3501Department of Urology, Shengjing Hospital of China Medical University, No. 36 Sanhao Street, Heping District, Liaoning Shenyang, 110004 People’s Republic of China
| | - Lei Li
- grid.412467.20000 0004 1806 3501Department of Urology, Shengjing Hospital of China Medical University, No. 36 Sanhao Street, Heping District, Liaoning Shenyang, 110004 People’s Republic of China
| | - Jianyi Zheng
- grid.412467.20000 0004 1806 3501Department of Urology, Shengjing Hospital of China Medical University, No. 36 Sanhao Street, Heping District, Liaoning Shenyang, 110004 People’s Republic of China
| | - Zeyu Li
- grid.412467.20000 0004 1806 3501Department of Urology, Shengjing Hospital of China Medical University, No. 36 Sanhao Street, Heping District, Liaoning Shenyang, 110004 People’s Republic of China
| | - Shijie Li
- Department of Urology, Shengjing Hospital of China Medical University, No. 36 Sanhao Street, Heping District, Liaoning, Shenyang, 110004, People's Republic of China.
| | - Kefeng Wang
- Department of Urology, Shengjing Hospital of China Medical University, No. 36 Sanhao Street, Heping District, Liaoning, Shenyang, 110004, People's Republic of China.
| | - Xiaonan Chen
- Department of Urology, Shengjing Hospital of China Medical University, No. 36 Sanhao Street, Heping District, Liaoning, Shenyang, 110004, People's Republic of China.
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Jeibouei S, Shams F, Mohebichamkhorami F, Sanooghi D, Faal B, Akbari ME, Zali H. Biological and clinical review of IORT-induced wound fluid in breast cancer patients. Front Oncol 2022; 12:980513. [DOI: 10.3389/fonc.2022.980513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 10/19/2022] [Indexed: 11/22/2022] Open
Abstract
Intraoperative radiotherapy (IORT) has become a growing therapy for early-stage breast cancer (BC). Some studies claim that wound fluid (seroma), a common consequence of surgical excision in the tumor cavity, can reflect the effects of IORT on cancer inhibition. However, further research by our team and other researchers, such as analysis of seroma composition, affected cell lines, and primary tissues in two-dimensional (2D) and three-dimensional (3D) culture systems, clarified that seroma could not address the questions about IORT effectiveness in the surgical site. In this review, we mention the factors involved in tumor recurrence, direct or indirect effects of IORT on BC, and all the studies associated with BC seroma to attain more information about the impact of IORT-induced seroma to make a better decision to remove or remain after surgery and IORT. Finally, we suggest that seroma studies cannot decipher the mechanisms underlying the effectiveness of IORT in BC patients. The question of whether IORT-seroma has a beneficial effect can only be answered in a trial with a clinical endpoint, which is not even ongoing.
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Peng L, Cao Z, Wang Q, Fang L, Yan S, Xia D, Wang J, Bi L. Screening of possible biomarkers and therapeutic targets in kidney renal clear cell carcinoma: Evidence from bioinformatic analysis. Front Oncol 2022; 12:963483. [PMID: 36313709 PMCID: PMC9606658 DOI: 10.3389/fonc.2022.963483] [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: 06/11/2022] [Accepted: 09/29/2022] [Indexed: 11/24/2022] Open
Abstract
Renal cell carcinoma (RCC), as one of the most common urological malignancies, has many histologic and molecular subtypes, among which clear cell renal cell carcinoma (ccRCC) is one of the most common causes of tumor-related deaths. However, the molecular mechanism of ccRCC remains unclear. In order to identify the candidate genes that may exist in the occurrence and development of ccRCC, microarray datasets GSE6344, GSE16441, GSE36895, GSE53757 and GSE76351 had been downloaded from Gene Expression Omnibus (GEO) database. Apart from that, the differentially expressed genes (DEGs) were screened through Bioinformatics & Evolutionary Genomics. In addition, the protein-protein interaction network (PPI) was constructed, and the module analysis was performed using STRING and Cytoscape. By virtue of DAVID online database, GO/KEGG enrichment analysis of DEGs was performed. Consequently, a total of 118 DEGs were screened, including 24 up-regulated genes and 94 down-regulated genes. The plug-in MCODE of Cytoscape was adopted to analyze the most significant modules of DEGs. What’s more, the genes with degree greater than 10 in DEGs were selected as the hub genes. The overall survival (OS) and disease progression free survival (DFS) of 9 hub genes were analyzed through GEPIA2 online platform. As shown by the survival analysis, SLC34A1, SLC12A3, SLC12A1, PLG, and ENO2 were closely related to the OS of ccRCC, whereas SLC34A1 and LOX were closely related to DFS. Among 11 SLC members, 6 SLC members were highly expressed in non-cancerous tissues (SLC5A2, SLC12A1, SLC12A3, SLC34A1, SLC34A2, SLC34A3). Besides, SLC12A5 and SLC12A7 were highly expressed in ccRCC. Furthermore, SLC12A1-A7, SLC34A1 and SLC34A3 were closely related to OS, whereas SLC12A2/A4/A6/A7 and SLC34A1/A3 were closely related to DFS. In addition, 5 algorithms were used to analyze hub genes, the overlapping genes were AQP2 and KCNJ1. To sum up, hub gene can help us understand the molecular mechanism of the occurrence and development of ccRCC, thereby providing a theoretical basis for the diagnosis and targeted therapy of ccRCC.
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Gasparri R, Capuano R, Guaglio A, Caminiti V, Canini F, Catini A, Sedda G, Paolesse R, Di Natale C, Spaggiari L. Volatolomic urinary profile analysis for diagnosis of the early stage of lung cancer. J Breath Res 2022; 16. [PMID: 35952625 DOI: 10.1088/1752-7163/ac88ec] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 08/11/2022] [Indexed: 12/24/2022]
Abstract
Nowadays in clinical practice there is a pressing need for potential biomarkers that can identify lung cancer at early stage before becoming symptomatic or detectable by conventional means. Several researchers have independently pointed out that the volatile organic compounds (VOCs) profile can be considered as a lung cancer fingerprint useful for diagnosis. In particular, 16% of volatiles contributing to the human volatilome are found in urine, which is therefore an ideal sample medium. Its analysis through non-invasive, relatively low-cost and straightforward techniques could offer great potential for the early diagnosis of lung cancer. In this study, urinary VOCs were analysed with a gas chromatography-ion mobility spectrometer (GC-IMS) and an electronic nose (e-nose) made by a matrix of twelve quartz microbalances (QMBs) complemented by a photoionization detector (PID). This clinical prospective study involved 127 individuals, divided into two groups: 46 with lung cancer stage I-II-III confirmed by computerized tomography (CT) or positron emission tomography-(PET) imaging techniques and histology (biopsy), and 81 healthy controls. Both instruments provided a multivariate signal which, after being analysed by a machine learning algorithm, identified eight VOCs that could distinguish lung cancer patients from healthy ones. The eight VOCs are 2-pentanone, 2-hexenal, 2-hexen-1-ol, hept-4-en-2-ol, 2-heptanone, 3-octen-2-one, 4-methylpentanol, 4-methyl-octane. Results show that GC-IMS identifies lung cancer with respect to the control group with a diagnostic accuracy of 88%. Sensitivity resulted as being 85%, and specificity was 90% - Area Under the Receiver Operating Characteristics (AUROC): 0.91. The contribution made by the e-nose was also important, even though the results were slightly less sensitive with an accuracy of 71.6%. Moreover, of the eight VOCs identified as potential biomarkers, five VOCs had a high sensitivity (p≤ 0.06) for early stage (stage I) lung cancer.
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Affiliation(s)
- Roberto Gasparri
- Department of Thoracic Surgery, Istituto Europeo di Oncologia, Via Giuseppe Ripamonti, 435, Milan, Milan, 20141, ITALY
| | - Rosamaria Capuano
- Department of Electronic Engineering, Universita di Roma 'Tor Vergata', via di tor Vergata 133, 00133 Roma, Roma, 00133, ITALY
| | - Alessandra Guaglio
- General toracic surgery, European Institute of Oncology, Via Ripamonti 435, 20141 Milan, Milano, Lombardia, 20141, ITALY
| | - Valentina Caminiti
- Department of Thoracic Surgery, European Institute of Oncology, Via Giuseppe Ripamonti, 435, Milan, Milan, 20141, ITALY
| | - Federico Canini
- Department of Electronic Engineering, Universita di Roma 'Tor Vergata', via di tor Vergata 133, 00133 Roma, Roma, 00133, ITALY
| | - Alexandro Catini
- Department of Electronic Engineering, Universita di Roma 'Tor Vergata', via di tor Vergata 133, 00133 Roma, Roma, 00133, ITALY
| | - Giulia Sedda
- Department of Thoracic Surgery, European Institute of Oncology, Via Giuseppe Ripamonti, 435, Milan, Milan, 20141, ITALY
| | - Roberto Paolesse
- Department of Chemical Science and Technology, Via della Ricerca Scientifica, University of Rome 'Tor Vergata', Rome, Rome, 00133, ITALY
| | - Corrado Di Natale
- Department of Electronic Engineering, Universita di Roma 'Tor Vergata', via di tor Vergata 133, 00133 Roma, Roma, 00133, ITALY
| | - Lorenzo Spaggiari
- Division of Thoracic Surgery, European Institute of Oncology, Via Ripamonti 435, Milano, Lombardia, 20141, ITALY
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Deng CF, Zhu N, Zhao TJ, Li HF, Gu J, Liao DF, Qin L. Involvement of LDL and ox-LDL in Cancer Development and Its Therapeutical Potential. Front Oncol 2022; 12:803473. [PMID: 35251975 PMCID: PMC8889620 DOI: 10.3389/fonc.2022.803473] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 01/12/2022] [Indexed: 01/17/2023] Open
Abstract
Lipid metabolism disorder is related to an increased risk of tumorigenesis and is involved in the rapid growth of cancer cells as well as the formation of metastatic lesions. Epidemiological studies have demonstrated that low-density lipoprotein (LDL) and oxidized low-density lipoprotein (ox-LDL) are closely associated with breast cancer, colorectal cancer, pancreatic cancer, and other malignancies, suggesting that LDL and ox-LDL play important roles during the occurrence and development of cancers. LDL can deliver cholesterol into cancer cells after binding to LDL receptor (LDLR). Activation of PI3K/Akt/mTOR signaling pathway induces transcription of the sterol regulatory element-binding proteins (SREBPs), which subsequently promotes cholesterol uptake and synthesis to meet the demand of cancer cells. Ox-LDL binds to the lectin-like oxidized low-density lipoprotein receptor-1 (LOX-1) and cluster of differentiation 36 (CD36) to induce mutations, resulting in inflammation, cell proliferation, and metastasis of cancer. Classic lipid-lowering drugs, statins, have been shown to reduce LDL levels in certain types of cancer. As LDL and ox-LDL play complicated roles in cancers, the potential therapeutic effect of targeting lipid metabolism in cancer therapy warrants more investigation.
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Affiliation(s)
- Chang-Feng Deng
- Division of Stem Cell Regulation and Application, School of Pharmacy, Hunan University of Chinese Medicine, Changsha, China
| | - Neng Zhu
- Department of Urology, The First Hospital of Hunan University of Chinese Medicine, Changsha, China
| | - Tan-Jun Zhao
- Division of Stem Cell Regulation and Application, School of Pharmacy, Hunan University of Chinese Medicine, Changsha, China
| | - Hong-Fang Li
- Division of Stem Cell Regulation and Application, School of Pharmacy, Hunan University of Chinese Medicine, Changsha, China
| | - Jia Gu
- Division of Stem Cell Regulation and Application, School of Pharmacy, Hunan University of Chinese Medicine, Changsha, China
| | - Duan-Fang Liao
- Division of Stem Cell Regulation and Application, School of Pharmacy, Hunan University of Chinese Medicine, Changsha, China
| | - Li Qin
- Division of Stem Cell Regulation and Application, School of Pharmacy, Hunan University of Chinese Medicine, Changsha, China
- Institutional Key Laboratory of Vascular Biology and Translational Medicine in Hunan Province, Hunan University of Chinese Medicine, Changsha, China
- *Correspondence: Li Qin,
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Duan J, Jin M, Yang D, Shi J, Gao J, Guo D, Tang H, Zhang S, Qiao B. Ubiquitin-specific peptidase 2 inhibits epithelial-mesenchymal transition in clear cell renal cell carcinoma metastasis by downregulating the NF-κB pathway. Bioengineered 2022; 13:4455-4467. [PMID: 35152855 PMCID: PMC8973690 DOI: 10.1080/21655979.2022.2033403] [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] [Indexed: 11/29/2022] Open
Abstract
Clear cell renal cell carcinoma, the most common type of renal cancer, is associated with poor survival. Ubiquitin-specific peptidase 2 regulates the molecular mechanisms of cancer cells. However, its mechanism in clear cell renal cell carcinoma remains unclear. Quantitative real-time polymerase chain reaction, enzyme-linked immunosorbent assay, and immunohistochemistry were performed to assess ubiquitin-specific peptidase 2 expression in human clear cell renal cell carcinoma samples. Ubiquitin-specific peptidase 2 was weakly expressed in clear cell renal cell carcinoma samples and associated with poor patient outcomes. Ubiquitin-specific peptidase 2 inhibition promoted clear cell renal cell carcinoma cell proliferation, migration, and invasion. Ubiquitin-specific peptidase 2 overexpression inhibited clear cell renal cell carcinoma cell proliferation, migration, and invasion in vitro and in vivo. RNA-sequencing showed significant changes in the epithelial-mesenchymal transition-related pathways following ubiquitin-specific peptidase 2 knockdown. Western blotting was performed to detect the protein expression levels. Expression of p-nuclear factor-κB p65, N-cadherin, Vimentin, and Snail, which were markedly increased, as well as E-cadherin, which was decreased following ubiquitin-specific peptidase 2 knockdown. Rescue experiments using the nuclear factor-κB inhibitor BAY 11–7082 revealed that the migration and invasion abilities and the expression of epithelial-mesenchymal transition pathway proteins were inhibited in both the short hairpin RNA (shRNA) for ubiquitin-specific peptidase 2 and shRNA for negative control groups. Ubiquitin-specific peptidase 2 is a potential biomarker to distinguish clear cell renal cell carcinoma patients from healthy individuals. Ubiquitin-specific peptidase 2-mediated inhibition of epithelial-mesenchymal transition in clear cell renal cell carcinoma cells is dependent on the nuclear factor-κB pathway.
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Affiliation(s)
- Jiachen Duan
- Department of Urology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Mengyuan Jin
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, People’s Republic of China
| | - Dongjing Yang
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Open and Key Laboratory of Hepatobiliary & Pancreatic Surgery and Digestive Organ Transplantation at Henan Universities, Zhengzhou, Henan, China
- Zhengzhou Engineering Laboratory of Organ Transplantation Technique and Application, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jihua Shi
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Open and Key Laboratory of Hepatobiliary & Pancreatic Surgery and Digestive Organ Transplantation at Henan Universities, Zhengzhou, Henan, China
- Zhengzhou Engineering Laboratory of Organ Transplantation Technique and Application, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jie Gao
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Open and Key Laboratory of Hepatobiliary & Pancreatic Surgery and Digestive Organ Transplantation at Henan Universities, Zhengzhou, Henan, China
- Zhengzhou Engineering Laboratory of Organ Transplantation Technique and Application, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Danfeng Guo
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Open and Key Laboratory of Hepatobiliary & Pancreatic Surgery and Digestive Organ Transplantation at Henan Universities, Zhengzhou, Henan, China
- Zhengzhou Engineering Laboratory of Organ Transplantation Technique and Application, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Hongwei Tang
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Open and Key Laboratory of Hepatobiliary & Pancreatic Surgery and Digestive Organ Transplantation at Henan Universities, Zhengzhou, Henan, China
- Zhengzhou Engineering Laboratory of Organ Transplantation Technique and Application, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Shuijun Zhang
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Open and Key Laboratory of Hepatobiliary & Pancreatic Surgery and Digestive Organ Transplantation at Henan Universities, Zhengzhou, Henan, China
- Zhengzhou Engineering Laboratory of Organ Transplantation Technique and Application, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Baoping Qiao
- Department of Urology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
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