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Andreu Z, Hidalgo MR, Masiá E, Romera-Giner S, Malmierca-Merlo P, López-Guerrero JA, García-García F, Vicent MJ. Comparative profiling of whole-cell and exosome samples reveals protein signatures that stratify breast cancer subtypes. Cell Mol Life Sci 2024; 81:363. [PMID: 39172142 PMCID: PMC11342910 DOI: 10.1007/s00018-024-05403-z] [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: 05/26/2024] [Revised: 08/02/2024] [Accepted: 08/07/2024] [Indexed: 08/23/2024]
Abstract
Identifying novel breast cancer biomarkers will improve patient stratification, enhance therapeutic outcomes, and help develop non-invasive diagnostics. We compared the proteomic profiles of whole-cell and exosomal samples of representative breast cancer cell subtypes to evaluate the potential of extracellular vesicles as non-invasive disease biomarkers in liquid biopsies. Overall, differentially-expressed proteins in whole-cell and exosome samples (which included markers for invasion, metastasis, angiogenesis, and drug resistance) effectively discriminated subtypes; furthermore, our results confirmed that the proteomic profile of exosomes reflects breast cancer cell-of-origin, which underscores their potential as disease biomarkers. Our study will contribute to identifying biomarkers that support breast cancer patient stratification and developing novel therapeutic strategies. We include an open, interactive web tool to explore the data as a molecular resource that can explain the role of these protein signatures in breast cancer classification.
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Affiliation(s)
- Zoraida Andreu
- Polymer Therapeutics Laboratory and Screening Platform, Príncipe Felipe Research Center (CIPF), Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain.
- IVO-CIPF Joint Cancer Research Unit, Príncipe Felipe Research Center (CIPF), Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain.
- Computational Biomedicine Laboratory, Príncipe Felipe Research Center (CIPF), Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain.
- Laboratory of Molecular Biology, Foundation of the Valencian Institute of Oncology, Valencia, 46009, Spain.
| | - Marta R Hidalgo
- IVO-CIPF Joint Cancer Research Unit, Príncipe Felipe Research Center (CIPF), Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain
- Computational Biomedicine Laboratory, Príncipe Felipe Research Center (CIPF), Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain
- Department of Mathematics, School of Mathematics, University of Valencia, Valencia, 46010, Spain
| | - Esther Masiá
- Polymer Therapeutics Laboratory and Screening Platform, Príncipe Felipe Research Center (CIPF), Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain
- IVO-CIPF Joint Cancer Research Unit, Príncipe Felipe Research Center (CIPF), Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain
- CIBERONC, Carlos III Health Institute (IISCIII), Madrid, Spain
| | - Sergio Romera-Giner
- Computational Biomedicine Laboratory, Príncipe Felipe Research Center (CIPF), Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain
| | - Pablo Malmierca-Merlo
- Computational Biomedicine Laboratory, Príncipe Felipe Research Center (CIPF), Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain
| | - José A López-Guerrero
- IVO-CIPF Joint Cancer Research Unit, Príncipe Felipe Research Center (CIPF), Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain
- Laboratory of Molecular Biology, Foundation of the Valencian Institute of Oncology, Valencia, 46009, Spain
- Department of Pathology, Medical School, Catholic University of Valencia 'San Vicente Mártir', Valencia, 46001, Spain
| | - Francisco García-García
- IVO-CIPF Joint Cancer Research Unit, Príncipe Felipe Research Center (CIPF), Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain.
- Computational Biomedicine Laboratory, Príncipe Felipe Research Center (CIPF), Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain.
| | - María J Vicent
- Polymer Therapeutics Laboratory and Screening Platform, Príncipe Felipe Research Center (CIPF), Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain.
- IVO-CIPF Joint Cancer Research Unit, Príncipe Felipe Research Center (CIPF), Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain.
- CIBERONC, Carlos III Health Institute (IISCIII), Madrid, Spain.
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Hushmandi K, Einollahi B, Saadat SH, Lee EHC, Farani MR, Okina E, Huh YS, Nabavi N, Salimimoghadam S, Kumar AP. Amino acid transporters within the solute carrier superfamily: Underappreciated proteins and novel opportunities for cancer therapy. Mol Metab 2024; 84:101952. [PMID: 38705513 PMCID: PMC11112377 DOI: 10.1016/j.molmet.2024.101952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 04/24/2024] [Accepted: 04/27/2024] [Indexed: 05/07/2024] Open
Abstract
BACKGROUND Solute carrier (SLC) transporters, a diverse family of membrane proteins, are instrumental in orchestrating the intake and efflux of nutrients including amino acids, vitamins, ions, nutrients, etc, across cell membranes. This dynamic process is critical for sustaining the metabolic demands of cancer cells, promoting their survival, proliferation, and adaptation to the tumor microenvironment (TME). Amino acids are fundamental building blocks of cells and play essential roles in protein synthesis, nutrient sensing, and oncogenic signaling pathways. As key transporters of amino acids, SLCs have emerged as crucial players in maintaining cellular amino acid homeostasis, and their dysregulation is implicated in various cancer types. Thus, understanding the intricate connections between amino acids, SLCs, and cancer is pivotal for unraveling novel therapeutic targets and strategies. SCOPE OF REVIEW In this review, we delve into the significant impact of amino acid carriers of the SLCs family on the growth and progression of cancer and explore the current state of knowledge in this field, shedding light on the molecular mechanisms that underlie these relationships and highlighting potential avenues for future research and clinical interventions. MAJOR CONCLUSIONS Amino acids transportation by SLCs plays a critical role in tumor progression. However, some studies revealed the tumor suppressor function of SLCs. Although several studies evaluated the function of SLC7A11 and SLC1A5, the role of some SLC proteins in cancer is not studied well. To exert their functions, SLCs mediate metabolic rewiring, regulate the maintenance of redox balance, affect main oncogenic pathways, regulate amino acids bioavailability within the TME, and alter the sensitivity of cancer cells to therapeutics. However, different therapeutic methods that prevent the function of SLCs were able to inhibit tumor progression. This comprehensive review provides insights into a rapidly evolving area of cancer biology by focusing on amino acids and their transporters within the SLC superfamily.
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Affiliation(s)
- Kiavash Hushmandi
- Nephrology and Urology Research Center, Clinical Sciences Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
| | - Behzad Einollahi
- Nephrology and Urology Research Center, Clinical Sciences Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Seyed Hassan Saadat
- Nephrology and Urology Research Center, Clinical Sciences Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - E Hui Clarissa Lee
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; NUS Center for Cancer Research (N2CR), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Marzieh Ramezani Farani
- NanoBio High-Tech Materials Research Center, Department of Biological Sciences and Bioengineering, Inha University, Incheon 22212, Republic of Korea
| | - Elena Okina
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; NUS Center for Cancer Research (N2CR), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yun Suk Huh
- NanoBio High-Tech Materials Research Center, Department of Biological Sciences and Bioengineering, Inha University, Incheon 22212, Republic of Korea
| | - Noushin Nabavi
- Department of Urologic Sciences and Vancouver Prostate Centre, University of British Columbia, V6H3Z6, Vancouver, BC, Canada
| | - Shokooh Salimimoghadam
- Department of Biochemistry and Molecular Biology, Faculty of Veterinary Medicine, Shahid Chamran University of Ahvaz, Ahvaz, Iran.
| | - Alan Prem Kumar
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; NUS Center for Cancer Research (N2CR), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
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Agrawal P, Chen S, de Pablos A, Jame-Chenarboo F, Miera Saenz de Vega E, Darvishian F, Osman I, Lujambio A, Mahal LK, Hernando E. Integrated in vivo functional screens and multi-omics analyses identify α-2,3-sialylation as essential for melanoma maintenance. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.08.584072. [PMID: 38559078 PMCID: PMC10979837 DOI: 10.1101/2024.03.08.584072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Glycosylation is a hallmark of cancer biology, and altered glycosylation influences multiple facets of melanoma growth and progression. To identify glycosyltransferases, glycans, and glycoproteins essential for melanoma maintenance, we conducted an in vivo growth screen with a pooled shRNA library of glycosyltransferases, lectin microarray profiling of benign nevi and melanoma patient samples, and mass spectrometry-based glycoproteomics. We found that α-2,3 sialyltransferases ST3GAL1 and ST3GAL2 and corresponding α-2,3-linked sialosides are upregulated in melanoma compared to nevi and are essential for melanoma growth in vivo and in vitro. Glycoproteomics revealed that glycoprotein targets of ST3GAL1 and ST3GAL2 are enriched in transmembrane proteins involved in growth signaling, including the amino acid transporter Solute Carrier Family 3 Member 2 (SLC3A2/CD98hc). CD98hc suppression mimicked the effect of ST3GAL1 and ST3GAL2 silencing, inhibiting melanoma cell proliferation. We found that both CD98hc protein stability and its pro-survival effect in melanoma are dependent upon α-2,3 sialylation mediated by ST3GAL1 and ST3GAL2. In summary, our studies reveal that α-2,3-sialosides functionally contribute to melanoma maintenance, supporting ST3GAL1 and ST3GAL2 as novel therapeutic targets in these tumors.
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Affiliation(s)
- Praveen Agrawal
- Department of Pathology, NYU Grossman School of Medicine, New York
- Interdisciplinary Melanoma Cooperative Group, Perlmutter Cancer Center, NYU Langone Health
- Department of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, New York
| | - Shuhui Chen
- Department of Chemistry, New York University
| | - Ana de Pablos
- Department of Pathology, NYU Grossman School of Medicine, New York
- Interdisciplinary Melanoma Cooperative Group, Perlmutter Cancer Center, NYU Langone Health
- Centro Nacional de Investigaciones Oncologicas (CNIO), Madrid, Spain
| | | | | | | | - Iman Osman
- Interdisciplinary Melanoma Cooperative Group, Perlmutter Cancer Center, NYU Langone Health
- Department of Dermatology, NYU Grossman School of Medicine, New York
| | | | - Lara K. Mahal
- Department of Chemistry, New York University
- Department of Chemistry, University of Alberta, Edmonton, Canada
| | - Eva Hernando
- Department of Pathology, NYU Grossman School of Medicine, New York
- Interdisciplinary Melanoma Cooperative Group, Perlmutter Cancer Center, NYU Langone Health
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4
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Xia P, Dubrovska A. CD98 heavy chain as a prognostic biomarker and target for cancer treatment. Front Oncol 2023; 13:1251100. [PMID: 37823053 PMCID: PMC10562705 DOI: 10.3389/fonc.2023.1251100] [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: 06/30/2023] [Accepted: 08/29/2023] [Indexed: 10/13/2023] Open
Abstract
The SLC3A2 gene encodes for a cell-surface transmembrane protein CD98hc (4F2). CD98hc serves as a chaperone for LAT1 (SLC7A5), LAT2 (SLC7A8), y+LAT1 (SLC7A7), y+LAT2 (SLC7A6), xCT (SLC7A11) and Asc1 (SLC7A10) providing their recruitment to the plasma membrane. Together with the light subunits, it constitutes heterodimeric transmembrane amino acid transporters. CD98hc interacts with other surface molecules, such as extracellular matrix metalloproteinase inducer CD147 (EMMPRIN) and adhesion receptors integrins, and regulates glucose uptake. In this way, CD98hc connects the signaling pathways sustaining cell proliferation and migration, biosynthesis and antioxidant defense, energy production, and stem cell properties. This multifaceted role makes CD98hc one of the critical regulators of tumor growth, therapy resistance, and metastases. Indeed, the high expression levels of CD98hc were confirmed in various tumor tissues, including head and neck squamous cell carcinoma, glioblastoma, colon adenocarcinoma, pancreatic ductal adenocarcinoma, and others. A high expression of CD98hc has been linked to clinical prognosis and response to chemo- and radiotherapy in several types of cancer. In this mini-review, we discuss the physiological functions of CD98hc, its role in regulating tumor stemness, metastases, and therapy resistance, and the clinical significance of CD98hc as a tumor marker and therapeutic target.
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Affiliation(s)
- Pu Xia
- OncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden and Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
| | - Anna Dubrovska
- OncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden and Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
- Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiooncology-OncoRay, Dresden, Germany
- German Cancer Consortium (DKTK), Partner Site Dresden and German Cancer Research Center (DKFZ), Heidelberg, Germany
- National Center for Tumor Diseases (NCT), Partner Site Dresden: German Cancer Research Center (DKFZ), Heidelberg, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany
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5
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Li S, Zeng H, Fan J, Wang F, Xu C, Li Y, Tu J, Nephew KP, Long X. Glutamine metabolism in breast cancer and possible therapeutic targets. Biochem Pharmacol 2023; 210:115464. [PMID: 36849062 DOI: 10.1016/j.bcp.2023.115464] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 02/17/2023] [Accepted: 02/21/2023] [Indexed: 02/27/2023]
Abstract
Cancer is characterized by metabolic reprogramming, which is a hot topic in tumor treatment research. Cancer cells alter metabolic pathways to promote their growth, and the common purpose of these altered metabolic pathways is to adapt the metabolic state to the uncontrolled proliferation of cancer cells. Most cancer cells in a state of nonhypoxia will increase the uptake of glucose and produce lactate, called the Warburg effect. Increased glucose consumption is used as a carbon source to support cell proliferation, including nucleotide, lipid and protein synthesis. In the Warburg effect, pyruvate dehydrogenase activity decreases, thereby disrupting the TCA cycle. In addition to glucose, glutamine is also an important nutrient for the growth and proliferation of cancer cells, an important carbon bank and nitrogen bank for the growth and proliferation of cancer cells, providing ribose, nonessential amino acids, citrate, and glycerin necessary for cancer cell growth and proliferation and compensating for the reduction in oxidative phosphorylation pathways in cancer cells caused by the Warburg effect. In human plasma, glutamine is the most abundant amino acid. Normal cells produce glutamine via glutamine synthase (GLS), but the glutamine synthesized by tumor cells is insufficient to meet their high growth needs, resulting in a "glutamine-dependent phenomenon." Most cancers have an increased glutamine demand, including breast cancer. Metabolic reprogramming not only enables tumor cells to maintain the reduction-oxidation (redox) balance and commit resources to biosynthesis but also establishes heterogeneous metabolic phenotypes of tumor cells that are distinct from those of nontumor cells. Thus, targeting the metabolic differences between tumor and nontumor cells may be a promising and novel anticancer strategy. Glutamine metabolic compartments have emerged as promising candidates, especially in TNBC and drug-resistant breast cancer. In this review, the latest discoveries of breast cancer and glutamine metabolism are discussed, novel treatment methods based on amino acid transporters and glutaminase are discussed, and the relationship between glutamine metabolism and breast cancer metastasis, drug resistance, tumor immunity and ferroptosis are explained, which provides new ideas for the clinical treatment of breast cancer.
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Affiliation(s)
- Shiqi Li
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Hui Zeng
- Center of Clinical Laboratory, Hangzhou Ninth People's Hospital, Hangzhou, China
| | - Junli Fan
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Fubing Wang
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Chen Xu
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yirong Li
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Jiancheng Tu
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Kenneth P Nephew
- Medical Sciences Program, Indiana University, Bloomington, IN, USA.
| | - Xinghua Long
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China.
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Ito K, Naoi M, Nishiyama K, Kudo T, Tsuda Y, MacLean C, Ishiguro N. Impact of P-glycoprotein on intracellular drug concentration in peripheral blood mononuclear cells and K562 cells. Drug Metab Pharmacokinet 2023; 49:100487. [PMID: 36724603 DOI: 10.1016/j.dmpk.2022.100487] [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: 08/21/2022] [Revised: 12/01/2022] [Accepted: 12/11/2022] [Indexed: 12/23/2022]
Abstract
P-glycoprotein (P-gp) expression in lymphocytes is variable and 2-fold higher in rheumatoid arthritis (RA) patients with treatment resistance than in healthy subjects. To date the information on P-gp-mediated drug interaction in lymphocyte is limited. We analyzed the importance on P-gp in lymphocytes using peripheral blood mononuclear cells (PBMCs) together with K562, K562/Adr, and K562/Vin cells, which have various P-gp levels, as cell models, and dexamethasone, nintedanib and apafant as weak to good P-gp substrates. P-gp levels in K562, K562/Adr, and K562/Vin cells were 0.3-, 20-, and 106-fold of healthy PBMCs, respectively. While cell accumulation of apafant and nintedanib decreased in all cells with increasing P-gp levels, dexamethasone accumulation in K562/Adr was comparable to that in healthy PBMCs and K562 cells. Cell accumulations of substrates in cells with low P-gp expression were not significantly changed by the P-gp inhibitors at therapeutic concentrations. However, accumulation increased to 1.4-fold at highest in K562/Adr cells with higher P-gp expression than in PBMCs of the RA patients. These results suggest P-gp controls the cellular concentration of P-gp substrates in PBMCs or K562 cells but cellular concentration of a weak P-gp substrate would not be apparently affected even in cells with a sufficient P-gp expression.
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Affiliation(s)
- Kohei Ito
- Pharmacokinetics and Non-Clinical Safety Department, Nippon Boehringer Ingelheim Co., Ltd., Kobe, Japan
| | - Marina Naoi
- Pharmacokinetics and Non-Clinical Safety Department, Nippon Boehringer Ingelheim Co., Ltd., Kobe, Japan
| | - Kotaro Nishiyama
- Pharmacokinetics and Non-Clinical Safety Department, Nippon Boehringer Ingelheim Co., Ltd., Kobe, Japan
| | - Takashi Kudo
- Pharmacokinetics and Non-Clinical Safety Department, Nippon Boehringer Ingelheim Co., Ltd., Kobe, Japan
| | - Yasuhiro Tsuda
- Clinical Pharmacology Department, Nippon Boehringer Ingelheim Co., Ltd., Kobe, Japan
| | - Caroline MacLean
- Department of R&D Project Management and Development Strategies, Boehringer Ingelheim Pharma GmbH and Co. KG, Biberach, Germany
| | - Naoki Ishiguro
- Pharmacokinetics and Non-Clinical Safety Department, Nippon Boehringer Ingelheim Co., Ltd., Kobe, Japan.
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7
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Akter F, Bonini S, Ponnaiyan S, Kögler-Mohrbacher B, Bleibaum F, Damme M, Renard BY, Winter D. Multi-Cell Line Analysis of Lysosomal Proteomes Reveals Unique Features and Novel Lysosomal Proteins. Mol Cell Proteomics 2023; 22:100509. [PMID: 36791992 PMCID: PMC10025164 DOI: 10.1016/j.mcpro.2023.100509] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 02/01/2023] [Accepted: 02/06/2023] [Indexed: 02/15/2023] Open
Abstract
Lysosomes, the main degradative organelles of mammalian cells, play a key role in the regulation of metabolism. It is becoming more and more apparent that they are highly active, diverse, and involved in a large variety of processes. The essential role of lysosomes is exemplified by the detrimental consequences of their malfunction, which can result in lysosomal storage disorders, neurodegenerative diseases, and cancer. Using lysosome enrichment and mass spectrometry, we investigated the lysosomal proteomes of HEK293, HeLa, HuH-7, SH-SY5Y, MEF, and NIH3T3 cells. We provide evidence on a large scale for cell type-specific differences of lysosomes, showing that levels of distinct lysosomal proteins are highly variable within one cell type, while expression of others is highly conserved across several cell lines. Using differentially stable isotope-labeled cells and bimodal distribution analysis, we furthermore identify a high confidence population of lysosomal proteins for each cell line. Multi-cell line correlation of these data reveals potential novel lysosomal proteins, and we confirm lysosomal localization for six candidates. All data are available via ProteomeXchange with identifier PXD020600.
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Affiliation(s)
- Fatema Akter
- Institute for Biochemistry and Molecular Biology, Medical Faculty, University of Bonn, Bonn, Germany; Department of Pharmacology, Faculty of Veterinary Science, Bangladesh Agricultural University, Mymensingh, Bangladesh
| | - Sara Bonini
- Institute for Biochemistry and Molecular Biology, Medical Faculty, University of Bonn, Bonn, Germany
| | - Srigayatri Ponnaiyan
- Institute for Biochemistry and Molecular Biology, Medical Faculty, University of Bonn, Bonn, Germany
| | | | | | - Markus Damme
- Institute for Biochemistry, University of Kiel, Kiel, Germany
| | | | - Dominic Winter
- Institute for Biochemistry and Molecular Biology, Medical Faculty, University of Bonn, Bonn, Germany.
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Comparative Analysis of Transcriptomic Changes including mRNA and microRNA Expression Induced by the Xenoestrogens Zearalenone and Bisphenol A in Human Ovarian Cells. Toxins (Basel) 2023; 15:toxins15020140. [PMID: 36828454 PMCID: PMC9967916 DOI: 10.3390/toxins15020140] [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: 12/27/2022] [Revised: 02/06/2023] [Accepted: 02/08/2023] [Indexed: 02/12/2023] Open
Abstract
Xenoestrogens are natural or synthetic compounds that mimic the effect of endogenous estrogens and might cause cancer. We aimed to compare the global transcriptomic response to zearalenone (ZEA; mycotoxin) and bisphenol A (BPA; plastic additive) with the effect of physiological estradiol (E2) in the PEO1 human ovarian cell line by mRNA and microRNA sequencing. Estrogen exposure induced remarkable transcriptomic changes: 308, 288 and 63 genes were upregulated (log2FC > 1); 292, 260 and 45 genes were downregulated (log2FC < -1) in response to E2 (10 nM), ZEA (10 nM) and BPA (100 nM), respectively. Furthermore, the expression of 13, 11 and 10 miRNAs changed significantly (log2FC > 1, or log2FC < -1) after exposure to E2, ZEA and BPA, respectively. Functional enrichment analysis of the significantly differentially expressed genes and miRNAs revealed several pathways related to the regulation of cell proliferation and migration. The effect of E2 and ZEA was highly comparable: 407 genes were coregulated by these molecules. We could identify 83 genes that were regulated by all three treatments that might have a significant role in the estrogen response of ovarian cells. Furthermore, the downregulation of several miRNAs (miR-501-5p, let-7a-2-3p, miR-26a-2-3p, miR-197-5p and miR-582-3p) was confirmed by qPCR, which might support the proliferative effect of estrogens in ovarian cells.
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Huang H, Ye Z, Li Z, Wang B, Li K, Zhou K, Cao H, Zheng J, Wang G. Employing machine learning using ferroptosis-related genes to construct a prognosis model for patients with osteosarcoma. Front Genet 2023; 14:1099272. [PMID: 36733341 PMCID: PMC9888665 DOI: 10.3389/fgene.2023.1099272] [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: 11/15/2022] [Accepted: 01/06/2023] [Indexed: 01/19/2023] Open
Abstract
Identifying effective biomarkers in osteosarcoma (OS) is important for predicting prognosis. We investigated the prognostic value of ferroptosis-related genes (FRGs) in OS. Transcriptome and clinical data were obtained from The Cancer Genome Atlas and Gene Expression Omnibus. FRGs were obtained from the ferroptosis database. Univariate COX regression and LASSO regression screening were performed and an FRG-based prognostic model was constructed, which was validated using the Gene Expression Omnibus cohort. The predictive power of the model was assessed via a subgroup analysis. A nomogram was constructed using clinical markers with independent prognostic significance and risk score results. The CIBERSORT algorithm was used to detect the correlation between prognostic genes and 22 tumor-infiltrating lymphocytes. The expression of prognostic genes in erastin-treated OS cell lines was verified via real-time PCR. Six prognostic FRGs (ACSL5, ATF4, CBS, CDO1, SCD, and SLC3A2) were obtained and used to construct the risk prognosis model. Subjects were divided into high- and low-risk groups. Prognosis was worse in the high-risk group, and the model had satisfactory prediction performance for patients younger than 18 years, males, females, and those with non-metastatic disease. Univariate COX regression analysis showed that metastasis and risk score were independent risk factors for patients with OS. Nomogram was built on independent prognostic factors with superior predictive power and patient benefit. There was a significant correlation between prognostic genes and tumor immunity. Six prognostic genes were differentially expressed in ferroptosis inducer-treated OS cell lines. The identified prognostic genes can regulate tumor growth and progression by affecting the tumor microenvironment.
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Affiliation(s)
- Hui Huang
- Department of Sports Medicine, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, Hainan, China
| | - Zhifang Ye
- Department of Sports Medicine, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, Hainan, China
| | - Zhengzhao Li
- Department of Emergency Surgery, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, Hainan, China
| | - Bo Wang
- Department of Sports Medicine, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, Hainan, China
| | - Ke Li
- Department of Sports Medicine, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, Hainan, China
| | - Kai Zhou
- Department of Sports Medicine, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, Hainan, China
| | - Huiyuan Cao
- Department of Sports Medicine, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, Hainan, China
| | - Jiaxuan Zheng
- Department of Pathology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, Hainan, China,*Correspondence: Jiaxuan Zheng, ; Guangji Wang,
| | - Guangji Wang
- Department of Sports Medicine, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, Hainan, China,*Correspondence: Jiaxuan Zheng, ; Guangji Wang,
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Lei Q, Yuan B, Liu K, Peng L, Xia Z. A novel prognostic related lncRNA signature associated with amino acid metabolism in glioma. Front Immunol 2023; 14:1014378. [PMID: 37114036 PMCID: PMC10126287 DOI: 10.3389/fimmu.2023.1014378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 03/13/2023] [Indexed: 04/29/2023] Open
Abstract
Background Glioma is one of the deadliest malignant brain tumors in adults, which is highly invasive and has a poor prognosis, and long non-coding RNAs (lncRNAs) have key roles in the progression of glioma. Amino acid metabolism reprogramming is an emerging hallmark in cancer. However, the diverse amino acid metabolism programs and prognostic value remain unclear during glioma progression. Thus, we aim to find potential amino-related prognostic glioma hub genes, elaborate and verify their functions, and explore further their impact on glioma. Methods Glioblastoma (GBM) and low-grade glioma (LGG) patients' data were downloaded from TCGA and CCGA datasets. LncRNAs associated with amino acid metabolism were discriminated against via correlation analysis. LASSO analysis and Cox regression analysis were conducted to identify lncRNAs related to prognosis. GSVA and GSEA were performed to predict the potential biological functions of lncRNA. Somatic mutation data and CNV data were further built to demonstrate genomic alterations and the correlation between risk scores. Human glioma cell lines U251 and U87-MG were used for further validation in vitro experiments. Results There were eight amino-related lncRNAs in total with a high prognostic value that were identified via Cox regression and LASSO regression analyses. The high risk-score group presented a significantly poorer prognosis compared with the low risk-score group, with more clinicopathological features and characteristic genomic aberrations. Our results provided new insights into biological functions in the above signature lncRNAs, which participate in the amino acid metabolism of glioma. LINC01561 is one of the eight identified lncRNAs, which was adopted for further verification. In in vitro experiments, siRNA-mediated LINC01561 silencing suppresses glioma cells' viability, migration, and proliferation. Conclusion Novel amino-related lncRNAs associated with the survival of glioma patients were identified, and a lncRNA signature can predict glioma prognosis and therapy response, which possibly has vital roles in glioma. Meanwhile, it emphasized the importance of amino acid metabolism in glioma, particularly in providing deeper research at the molecular level.
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Affiliation(s)
- Qiang Lei
- Department of Neurology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Bo Yuan
- Department of Cerebrovascular Surgery, The Second People’s Hospital of Hunan Province, The Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China
| | - Kun Liu
- Department of Cerebrovascular Surgery, The Second People’s Hospital of Hunan Province, The Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China
| | - Li Peng
- Department of Ophthalmology, Central South University Xiangya School of Medicine Affiliated Haikou Hospital, Haikou, Hainan, China
- Department of Ophthalmology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
- *Correspondence: Zhiwei Xia, ; Li Peng,
| | - Zhiwei Xia
- Department of Neurology, Hunan Aerospace Hospital, Changsha, Hunan, China
- *Correspondence: Zhiwei Xia, ; Li Peng,
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11
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Hisada T, Kondo N, Wanifuchi-Endo Y, Osaga S, Fujita T, Asano T, Uemoto Y, Nishikawa S, Katagiri Y, Terada M, Kato A, Sugiura H, Okuda K, Kato H, Komura M, Morita S, Takahashi S, Toyama T. Co-expression effect of LLGL2 and SLC7A5 to predict prognosis in ERα-positive breast cancer. Sci Rep 2022; 12:16515. [PMID: 36192404 PMCID: PMC9529905 DOI: 10.1038/s41598-022-20225-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Accepted: 09/09/2022] [Indexed: 11/09/2022] Open
Abstract
Lethal giant larvae homolog 2 (LLGL2) and solute carrier family 7 member 5 (SLC7A5) have been reported to be involved in resistance to endocrine therapy. This study aimed to assess the effects of LLGL2/SLC7A5 co-expression in predicting prognosis and response to tamoxifen therapy in ERα-positive breast cancer patients according to LLGL2/SLC7A5 mRNA and protein expression in long-term follow-up invasive breast cancer tissues. We identified that low LLGL2/SLC7A5 mRNA co-expression (LLGL2low/SLC7A5low) was associated with disease-free survival (DFS) compared with other combination groups in all breast cancer patients. In ERα-positive breast cancer patients, LLGL2low/SLC7A5low showed longer DFS and overall survival (OS) compared with LLGL2high/SLC7A5high and a positive trend of longer survival compared with the other combination groups. We also observed that LLGL2low/SLC7A5low showed longer survival compared with LLGL2high/SLC7A5high in ERα-positive breast cancer patients receiving adjuvant tamoxifen therapy. Multivariate analysis demonstrated that LLGL2low/SLC7A5low was an independent favorable prognostic factor of both DFS and OS, not only in all breast cancer patients, but also in ERα-positive breast cancer patients. High co-expression of LLGL2 and SLC7A5 protein showed a positive trend of shorter survival. Our study showed that co-expression of LLGL2 and SLC7A5 mRNA is a promising candidate biomarker in early breast cancer patients.
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Affiliation(s)
- Tomoka Hisada
- Department of Breast Surgery, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya, Aichi, 467-8601, Japan
| | - Naoto Kondo
- Department of Breast Surgery, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya, Aichi, 467-8601, Japan
| | - Yumi Wanifuchi-Endo
- Department of Breast Surgery, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya, Aichi, 467-8601, Japan
| | - Satoshi Osaga
- Clinical Research Management Center, Nagoya City University Hospital, Nagoya, Aichi, Japan
| | - Takashi Fujita
- Department of Breast Surgery, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya, Aichi, 467-8601, Japan
| | - Tomoko Asano
- Department of Breast Surgery, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya, Aichi, 467-8601, Japan
| | - Yasuaki Uemoto
- Department of Breast Surgery, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya, Aichi, 467-8601, Japan
| | - Sayaka Nishikawa
- Department of Breast Surgery, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya, Aichi, 467-8601, Japan
| | - Yusuke Katagiri
- Department of Breast Surgery, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya, Aichi, 467-8601, Japan
| | - Mitsuo Terada
- Department of Breast Surgery, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya, Aichi, 467-8601, Japan
| | - Akiko Kato
- Department of Breast Surgery, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya, Aichi, 467-8601, Japan
| | - Hiroshi Sugiura
- Department of Breast Surgery, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya, Aichi, 467-8601, Japan.,Department of Breast and Endocrine Surgery, Nagoya City University West Medical Center, Nagoya, Aichi, Japan
| | - Katsuhiro Okuda
- Department of Oncology, Immunology and Surgery, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan
| | - Hiroyuki Kato
- Department of Experimental Pathology and Tumor Biology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan
| | - Masayuki Komura
- Department of Experimental Pathology and Tumor Biology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan
| | - Satoshi Morita
- Department of Biomedical Statistics and Bioinformatics, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Satoru Takahashi
- Department of Experimental Pathology and Tumor Biology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan
| | - Tatsuya Toyama
- Department of Breast Surgery, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya, Aichi, 467-8601, Japan.
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12
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SLC7A5 is a lung adenocarcinoma-specific prognostic biomarker and participates in forming immunosuppressive tumor microenvironment. Heliyon 2022; 8:e10866. [PMID: 36217463 PMCID: PMC9547238 DOI: 10.1016/j.heliyon.2022.e10866] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 09/09/2022] [Accepted: 09/28/2022] [Indexed: 12/05/2022] Open
Abstract
Background Amino acid metabolism participates in forming immunosuppressive tumor microenvironment. Amino acid transporters (AATs), as a gate for admission, remains to be studied. Materials and methods We identified LUAD-specific prognostic AATs, SLC7A5 by differential expression analysis, logistic regression, machine learning, Kaplan-Meier analysis, AUC value filtrating and Cox regression. Then differential expression and distribution of SLC7A5 were depicted. Copy number variation, DNA methylation, transcriptional factors and ceRNA network were investigated to explore potential mechanism causing differential expression. The prognostic and clinical relation were evaluated by Kaplan-Meier analysis, Cox regression analysis. GSEA and GSVA were used to analyze altered pathways between SLC7A5 high- and low-groups. The expression of HLA-related genes and immune checkpoint genes, and immune cells infiltration were detected. SLC7A5 expression in immune cells was evaluated by single-cell sequencing data. IPS and an independent immunotherapy cohort assessed response rates of patients with distinct SLC7A5 expression. Proliferation assay and wound healing assay validated the effects of SLC7A5 on proliferation and migration of LUAD cells. Western blotting and cell viability assays were performed to detect mTORC1 pathway activity and sensitivity to rapamycin. Results SLC7A5 was a LUAD-specific prognostic AAT and had significant differential expression in transcription and translation level. Methylation levels of cg00728300, cg00858400, cg12408911, cg08710629 were negative correlation with SLC7A5 expression. FOXP3 and TFAP2A were possible transcription factors and miR-30a-5p, miR-184, miR-195-5p may target SLC7A5 mRNA. SLC7A5 high-expression indicated poor prognosis and was an independent prognostic factor. mTORC1, cell cycle, DNA damage repair, response to reactive oxygen, angiogenesis, epithelial-mesenchymal transition (EMT) and various growth factors signaling pathways were activated in SLC7A5 high-expression group. Interestingly, SLC7A5 high-expression group had less immune-related genes expression and immune cells infiltration. Single-cell sequencing data also suggested SLC7A5 was downregulated in various T cells, especially effector T cells. Moreover, high SLC7A5 expression indicated poor immunotherapy efficacy and higher sensitivity to inhibitors of mTORC1 pathway, cell cycle and angiogenesis. SLC7A5 deficiency abrogated proliferation, migration and mTORC1 pathway activity. Conclusions In summary, as a LUAD-specific prognostic AAT, SLC7A5 is involved in activation of multiple oncogenic pathways and indicates poor prognosis. Moreover, SLC7A5 may participate in forming immunosuppressive TME and is associated with low response of immunotherapy. SLC7A5 is promising to be a new diagnostic and prognostic biomarker and therapeutic target in LUAD.
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13
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Huang G, Ma L, Shen L, Lei Y, Guo L, Deng Y, Ding Y. MIF/SCL3A2 depletion inhibits the proliferation and metastasis of colorectal cancer cells via the AKT/GSK-3β pathway and cell iron death. J Cell Mol Med 2022; 26:3410-3422. [PMID: 35567291 PMCID: PMC9189354 DOI: 10.1111/jcmm.17352] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 04/17/2022] [Accepted: 04/19/2022] [Indexed: 12/15/2022] Open
Abstract
This study investigated the mechanisms of migration inhibitory factor (MIF) and solute carrier family 3 member 2 (SLC3A2) in colorectal cancer progression. The levels of MIF and SLC3A2 expression in cells were measured by RT-qPCR. SW480 and SW620 cells were transfected with sh-MIF and sh-SLC3A2, respectively. MIF, SLC3A2, GPX4, E-cadherin and N-cadherin expression were detected by immunofluorescence (IF). CCK8 and Transwell assays were performed to detect cell proliferation and migration. Co-immunoprecipitation (CoIP) was used to measure the binding activity of MIF and SLC3A2. Finally, a nude mouse tumorigenicity assay was used to confirm the functions of MIF and SLC3A2 in colorectal cancer. Results showed that the levels of MIF and SLC3A2 expression were up-regulated in colorectal cancer cells. Inhibition of MIF or SLC3A2 expression prevented cell proliferation, migration, epithelial-mesenchymal transition (EMT) and invasion. In addition, knockdown of MIF and SLC3A2 promoted iron death in SW480 and SW620 cells. CoIP results showed that MIF and SLC3A2 directly interact with each other. Knockdown of both MIF and SLC3A2 inhibited tumour growth and metastasis via the AKT/GSK-3β pathway in vivo. The Akt/GSK-3β pathway was found to participate in regulating MIF and SLC3A2 both in vivo and in vitro. MIF and SLC3A2 might be potential biomarkers for monitoring the treatment of colorectal cancer.
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Affiliation(s)
- Guan Huang
- Department of Pathology, Nanfang Hospital and School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.,Department of Pathology, Shenzhen Longgang Central Hospital, Shenzhen, China
| | - Lili Ma
- Department of Pathology, Nanfang Hospital and School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Lan Shen
- Department of Pathology, Nanfang Hospital and School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Yan Lei
- Department of Pathology, Nanfang Hospital and School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Lili Guo
- Department of Pathology, Nanfang Hospital and School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Yongjian Deng
- Department of Pathology, Nanfang Hospital and School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Molecular Tumor Pathology, Guangzhou, China
| | - Yanqing Ding
- Department of Pathology, Nanfang Hospital and School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Molecular Tumor Pathology, Guangzhou, China
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14
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Biglycan Promotes Cancer Stem Cell Properties, NFκB Signaling and Metastatic Potential in Breast Cancer Cells. Cancers (Basel) 2022; 14:cancers14020455. [PMID: 35053617 PMCID: PMC8773822 DOI: 10.3390/cancers14020455] [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: 11/30/2021] [Revised: 01/06/2022] [Accepted: 01/11/2022] [Indexed: 01/27/2023] Open
Abstract
Simple Summary Breast cancer stem cells (BCSCs) are a small sub-population of cells within tumors with high metastatic potential. We identified biglycan (BGN) as a prospective molecular target in BCSCs that regulates the aggressive phenotypes of these cells. These findings establish a foundation for the development of therapeutics against BGN to eliminate BCSCs and prevent metastatic breast cancer. Abstract It is a major challenge to treat metastasis due to the presence of heterogenous BCSCs. Therefore, it is important to identify new molecular targets and their underlying molecular mechanisms in various BCSCs to improve treatment of breast cancer metastasis. Here, we performed RNA sequencing on two distinct co-existing BCSC populations, ALDH+ and CD29hi CD61+ from PyMT mammary tumor cells and detected upregulation of biglycan (BGN) in these BCSCs. Genetic depletion of BGN reduced BCSC proportions and tumorsphere formation. Furthermore, BCSC associated aggressive traits such as migration and invasion were significantly reduced by depletion of BGN. Glycolytic and mitochondrial metabolic assays also revealed that BCSCs exhibited decreased metabolism upon loss of BGN. BCSCs showed decreased activation of the NFκB transcription factor, p65, and phospho-IκB levels upon BGN ablation, indicating regulation of NFκB pathway by BGN. To further support our data, we also characterized CD24−/CD44+ BCSCs from human luminal MCF-7 breast cancer cells. These CD24−/CD44+ BCSCs similarly exhibited reduced tumorigenic phenotypes, metabolism and attenuation of NFκB pathway after knockdown of BGN. Finally, loss of BGN in ALDH+ and CD29hi CD61+ BCSCs showed decreased metastatic potential, suggesting BGN serves as an important therapeutic target in BCSCs for treating metastasis of breast cancer.
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15
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Amino Acid Metabolism in Cancer Drug Resistance. Cells 2022; 11:cells11010140. [PMID: 35011702 PMCID: PMC8750102 DOI: 10.3390/cells11010140] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 12/28/2021] [Accepted: 12/28/2021] [Indexed: 02/06/2023] Open
Abstract
Despite the numerous investigations on resistance mechanisms, drug resistance in cancer therapies still limits favorable outcomes in cancer patients. The complexities of the inherent characteristics of tumors, such as tumor heterogeneity and the complicated interaction within the tumor microenvironment, still hinder efforts to overcome drug resistance in cancer cells, requiring innovative approaches. In this review, we describe recent studies offering evidence for the essential roles of amino acid metabolism in driving drug resistance in cancer cells. Amino acids support cancer cells in counteracting therapies by maintaining redox homeostasis, sustaining biosynthetic processes, regulating epigenetic modification, and providing metabolic intermediates for energy generation. In addition, amino acid metabolism impacts anticancer immune responses, creating an immunosuppressive or immunoeffective microenvironment. A comprehensive understanding of amino acid metabolism as it relates to therapeutic resistance mechanisms will improve anticancer therapeutic strategies.
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16
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Törnroos R, Tina E, Göthlin Eremo A. SLC7A5 is linked to increased expression of genes related to proliferation and hypoxia in estrogen‑receptor‑positive breast cancer. Oncol Rep 2021; 47:17. [PMID: 34792178 PMCID: PMC8611404 DOI: 10.3892/or.2021.8228] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 10/25/2021] [Indexed: 12/20/2022] Open
Abstract
The amino acid transporter named solute carrier family 7 member 5 (SLC7A5) is suggested to play a part in altered cell metabolism and proliferative signaling and has been reported to be overexpressed in various types of cancer, including breast cancer. Estrogen‑receptor‑positive (ER+) breast cancers constitute the most common type of breast malignancies and are often treated with anti‑estrogenic therapies. In this group of patients, endocrine resistance is a challenging problem that could lead to recurrent disease. To overcome this, additional prognostic biomarkers are needed. The present study aimed therefore to determine whether SLC7A5 may be considered as a possible prognostic marker in ER+ breast cancer and to investigate its relation with certain cancer‑related genes. We used a local breast cancer cohort (n=154) and immunohistochemistry to analyze the expression of SLC7A5 in association with clinicopathological characteristics and patient outcome. In addition, gene expression analysis was performed on 80 of these tumors. Furthermore, the METABRIC dataset was used for correlation analyses between expression of SLC7A5 and several genes related to breast cancer biology. The results demonstrated that overexpression of SLC7A5 was significantly associated with histopathological grade in patients with breast cancer, and that SLC7A5 mRNA expression was positively correlated with the expression of marker of proliferation Ki‑67 and hypoxia inducible factor 1 subunit alpha. Overexpression of SLC7A5 may therefore play a role in the biology of endocrinologically‑driven disease. However, when further assessing SLC7A5 using the METABRIC dataset, SLC7A5 mRNA expression level was more significantly increased in ER‑ subgroups compared with ER+ disease. All breast cancer subtypes included, SLC7A5 mRNA expression was correlated with a higher number of cancer‑related genes than in estrogen receptor positive tumors alone. The present study suggested that SLC7A5 expression may be of importance for breast cancer cell proliferation and survival. In order to further establish the biological and clinical role of SLC7A5 in breast cancer, further investigation using different breast cancer subgroups is required.
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Affiliation(s)
- Rasmus Törnroos
- School of Medical Sciences, Faculty of Medicine and Health, Örebro University, SE-70185 Örebro, Sweden
| | - Elisabet Tina
- School of Medical Sciences, Faculty of Medicine and Health, Örebro University, SE-70185 Örebro, Sweden
| | - Anna Göthlin Eremo
- School of Medical Sciences, Faculty of Medicine and Health, Örebro University, SE-70185 Örebro, Sweden
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17
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Chen Z, Yang C, Guo Z, Song S, Gao Y, Wang D, Mao W, Liu J. A novel PDX modeling strategy and its application in metabolomics study for malignant pleural mesothelioma. BMC Cancer 2021; 21:1235. [PMID: 34789172 PMCID: PMC8600931 DOI: 10.1186/s12885-021-08980-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 11/08/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Malignant pleural mesothelioma (MPM) is a rare and aggressive carcinoma located in pleural cavity. Due to lack of effective diagnostic biomarkers and therapeutic targets in MPM, the prognosis is extremely poor. Because of difficulties in sample extraction, and the high rate of misdiagnosis, MPM is rarely studied. Therefore, novel modeling methodology is crucially needed to facilitate MPM research. METHODS A novel patient-derived xenograft (PDX) modeling strategy was designed, which included preliminary screening of patients with pleural thickening using computerized tomography (CT) scan, further reviewing history of disease and imaging by a senior sonographer as well as histopathological analysis by a senior pathologist, and PDX model construction using ultrasound-guided pleural biopsy from MPM patients. Gas chromatography-mass spectrometry-based metabolomics was further utilized for investigating circulating metabolic features of the PDX models. Univariate and multivariate analysis, and pathway analysis were performed to explore the differential metabolites, enriched metabolism pathways and potential metabolic targets. RESULTS After screening using our strategy, 5 out of 116 patients were confirmed to be MPM, and their specimens were used for modeling. Two PDX models were established successfully. Metabolomics analysis revealed significant metabolic shifts in PDX models, such as dysregulations in amino acid metabolism, TCA cycle and glycolysis, and nucleotide metabolism. CONCLUSIONS To sum up, we suggested a novel modeling strategy that may facilitate specimen availability for MM research, and by applying metabolomics in this model, several metabolic features were identified, whereas future studies with large sample size are needed.
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Affiliation(s)
- Zhongjian Chen
- The Cancer Research Institute, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, Zhejiang, 310022, Hangzhou, China
- Key Laboratory Diagnosis and Treatment Technology on Thoracic Oncology, Zhejiang, 310022, Hangzhou, China
| | - Chenxi Yang
- The Cancer Research Institute, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, Zhejiang, 310022, Hangzhou, China
- Key Laboratory Diagnosis and Treatment Technology on Thoracic Oncology, Zhejiang, 310022, Hangzhou, China
| | - Zhenying Guo
- The Cancer Research Institute, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, Zhejiang, 310022, Hangzhou, China
- Key Laboratory Diagnosis and Treatment Technology on Thoracic Oncology, Zhejiang, 310022, Hangzhou, China
| | - Siyu Song
- The Cancer Research Institute, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, Zhejiang, 310022, Hangzhou, China
- Key Laboratory Diagnosis and Treatment Technology on Thoracic Oncology, Zhejiang, 310022, Hangzhou, China
| | - Yun Gao
- The Cancer Research Institute, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, Zhejiang, 310022, Hangzhou, China
- Key Laboratory Diagnosis and Treatment Technology on Thoracic Oncology, Zhejiang, 310022, Hangzhou, China
| | - Ding Wang
- The Cancer Research Institute, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, Zhejiang, 310022, Hangzhou, China
- Key Laboratory Diagnosis and Treatment Technology on Thoracic Oncology, Zhejiang, 310022, Hangzhou, China
| | - Weimin Mao
- The Cancer Research Institute, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, Zhejiang, 310022, Hangzhou, China.
- Key Laboratory Diagnosis and Treatment Technology on Thoracic Oncology, Zhejiang, 310022, Hangzhou, China.
| | - Junping Liu
- The Cancer Research Institute, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, Zhejiang, 310022, Hangzhou, China.
- Key Laboratory Diagnosis and Treatment Technology on Thoracic Oncology, Zhejiang, 310022, Hangzhou, China.
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18
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Pellizzari G, Martinez O, Crescioli S, Page R, Di Meo A, Mele S, Chiaruttini G, Hoinka J, Batruch I, Prassas I, Grandits M, López-Abente J, Bugallo-Blanco E, Ward M, Bax HJ, French E, Cheung A, Lombardi S, Figini M, Lacy KE, Diamandis EP, Josephs DH, Spicer J, Papa S, Karagiannis SN. Immunotherapy using IgE or CAR T cells for cancers expressing the tumor antigen SLC3A2. J Immunother Cancer 2021; 9:jitc-2020-002140. [PMID: 34112739 PMCID: PMC8194339 DOI: 10.1136/jitc-2020-002140] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/25/2021] [Indexed: 01/21/2023] Open
Abstract
Background Cancer immunotherapy with monoclonal antibodies and chimeric antigen receptor (CAR) T cell therapies can benefit from selection of new targets with high levels of tumor specificity and from early assessments of efficacy and safety to derisk potential therapies. Methods Employing mass spectrometry, bioinformatics, immuno-mass spectrometry and CRISPR/Cas9 we identified the target of the tumor-specific SF-25 antibody. We engineered IgE and CAR T cell immunotherapies derived from the SF-25 clone and evaluated potential for cancer therapy. Results We identified the target of the SF-25 clone as the tumor-associated antigen SLC3A2, a cell surface protein with key roles in cancer metabolism. We generated IgE monoclonal antibody, and CAR T cell immunotherapies each recognizing SLC3A2. In concordance with preclinical and, more recently, clinical findings with the first-in-class IgE antibody MOv18 (recognizing the tumor-associated antigen Folate Receptor alpha), SF-25 IgE potentiated Fc-mediated effector functions against cancer cells in vitro and restricted human tumor xenograft growth in mice engrafted with human effector cells. The antibody did not trigger basophil activation in cancer patient blood ex vivo, suggesting failure to induce type I hypersensitivity, and supporting safe therapeutic administration. SLC3A2-specific CAR T cells demonstrated cytotoxicity against tumor cells, stimulated interferon-γ and interleukin-2 production in vitro. In vivo SLC3A2-specific CAR T cells significantly increased overall survival and reduced growth of subcutaneous PC3-LN3-luciferase xenografts. No weight loss, manifestations of cytokine release syndrome or graft-versus-host disease, were detected. Conclusions These findings identify efficacious and potentially safe tumor-targeting of SLC3A2 with novel immune-activating antibody and genetically modified cell therapies.
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Affiliation(s)
- Giulia Pellizzari
- St John's Institute of Dermatology, School of Basic and Medical Biosciences, King's College London, London, England, UK
| | - Olivier Martinez
- Immunoengineering Group, King's College London, London, England, UK
| | - Silvia Crescioli
- St John's Institute of Dermatology, School of Basic and Medical Biosciences, King's College London, London, England, UK
| | - Robert Page
- Immunoengineering Group, King's College London, London, England, UK
| | - Ashley Di Meo
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Silvia Mele
- St John's Institute of Dermatology, School of Basic and Medical Biosciences, King's College London, London, England, UK
| | - Giulia Chiaruttini
- St John's Institute of Dermatology, School of Basic and Medical Biosciences, King's College London, London, England, UK
| | - Jan Hoinka
- Computational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA
| | - Ihor Batruch
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Ioannis Prassas
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada.,Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Melanie Grandits
- St John's Institute of Dermatology, School of Basic and Medical Biosciences, King's College London, London, England, UK
| | - Jacobo López-Abente
- St John's Institute of Dermatology, School of Basic and Medical Biosciences, King's College London, London, England, UK
| | | | | | - Heather J Bax
- St John's Institute of Dermatology, School of Basic and Medical Biosciences, King's College London, London, England, UK
| | - Elise French
- St John's Institute of Dermatology, School of Basic and Medical Biosciences, King's College London, London, England, UK
| | - Anthony Cheung
- St John's Institute of Dermatology, School of Basic and Medical Biosciences, King's College London, London, England, UK.,Breast Cancer Now Research Unit, School of Cancer and Pharmaceutical Sciences, King's College London, London, England, UK
| | - Sara Lombardi
- St John's Institute of Dermatology, School of Basic and Medical Biosciences, King's College London, London, England, UK.,School of Cancer and Pharmaceutical Sciences, King's College London, London, England, UK
| | - Mariangela Figini
- Biomarker Unit, Dipartimento di Ricerca Applicata e Sviluppo Tecnologico (DRAST), Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Katie E Lacy
- St John's Institute of Dermatology, School of Basic and Medical Biosciences, King's College London, London, England, UK
| | - Eleftherios P Diamandis
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada.,Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada.,Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.,Department of Clinical Biochemistry, University Health Network, Toronto, Ontario, Canada
| | - Debra H Josephs
- St John's Institute of Dermatology, School of Basic and Medical Biosciences, King's College London, London, England, UK.,Department of Medical Oncology, Guy's and St Thomas' NHS Foundation Trust, London, England, UK
| | - James Spicer
- School of Cancer and Pharmaceutical Sciences, King's College London, London, England, UK
| | - Sophie Papa
- Immunoengineering Group, King's College London, London, England, UK .,Department of Medical Oncology, Guy's and St Thomas' NHS Foundation Trust, London, England, UK
| | - Sophia N Karagiannis
- St John's Institute of Dermatology, School of Basic and Medical Biosciences, King's College London, London, England, UK .,Breast Cancer Now Research Unit, School of Cancer and Pharmaceutical Sciences, King's College London, London, England, UK
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19
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Liu Y, Tingart M, Lecouturier S, Li J, Eschweiler J. Identification of co-expression network correlated with different periods of adipogenic and osteogenic differentiation of BMSCs by weighted gene co-expression network analysis (WGCNA). BMC Genomics 2021; 22:254. [PMID: 33836657 PMCID: PMC8035768 DOI: 10.1186/s12864-021-07584-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 03/30/2021] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND The differentiation of bone marrow mesenchymal stem cells is a complex and dynamic process. The gene expression pattern and mechanism of different periods of adipogenic and osteogenic differentiation remain unclear. Additionally, the interaction between these two lineage determination requires further exploration. RESULTS Five modules that were most significantly associated with osteogenic or adipogenic differentiation of BMSCs were selected for further investigation. Biological terms (e.g. ribosome biogenesis, TNF-α signalling pathway, glucose import and fatty acid metabolism) along with hub transcription factors (e.g. PPARG and YY1) and hub miRNAs (e.g. hsa-mir-26b-5p) were enriched in different modules. The expression pattern of 6 hub genes, ADIPOQ, FABP4, SLC7A5, SELPLG, BIRC3, and KLHL30 was validated by RT-qPCR. Finally, cell staining experiments extended the findings of bioinformatics analysis. CONCLUSION This study identified the key genes, biological functions, and regulators of each time point of adipogenic and osteogenic differentiation of BMSCs and provided novel evidence and ideas for further research on the differentiation of BMSCs.
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Affiliation(s)
- Yu Liu
- Department of Orthopaedic Surgery, RWTH Aachen University Clinic, Pauwelsstraße 30, 52074 Aachen, Germany
| | - Markus Tingart
- Department of Orthopaedic Surgery, RWTH Aachen University Clinic, Pauwelsstraße 30, 52074 Aachen, Germany
| | - Sophie Lecouturier
- Department of Orthopaedic Surgery, RWTH Aachen University Clinic, Pauwelsstraße 30, 52074 Aachen, Germany
| | - Jianzhang Li
- Department of Orthopaedic Surgery, RWTH Aachen University Clinic, Pauwelsstraße 30, 52074 Aachen, Germany
| | - Jörg Eschweiler
- Department of Orthopaedic Surgery, RWTH Aachen University Clinic, Pauwelsstraße 30, 52074 Aachen, Germany
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20
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Metabolic Reprogramming in Anticancer Drug Resistance: A Focus on Amino Acids. Trends Cancer 2021; 7:682-699. [PMID: 33736962 DOI: 10.1016/j.trecan.2021.02.004] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 02/12/2021] [Accepted: 02/16/2021] [Indexed: 11/22/2022]
Abstract
Overcoming anticancer drug resistance is a major challenge in cancer therapy, requiring innovative strategies that consider the extensive tumor heterogeneity and adaptability. We provide recent evidence highlighting the key role of amino acid (AA) metabolic reprogramming in cancer cells and the supportive microenvironment in driving resistance to anticancer therapies. AAs sustain the acquisition of anticancer resistance by providing essential building blocks for biosynthetic pathways and for maintaining a balanced redox status, and modulating the epigenetic profile of both malignant and non-malignant cells. In addition, AAs support the reduced intrinsic susceptibility of cancer stem cells to antineoplastic therapies. These findings shed new light on the possibility of targeting nonresponding tumors by modulating AA availability through pharmacological or dietary interventions.
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21
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Melnik BC. Lifetime Impact of Cow's Milk on Overactivation of mTORC1: From Fetal to Childhood Overgrowth, Acne, Diabetes, Cancers, and Neurodegeneration. Biomolecules 2021; 11:404. [PMID: 33803410 PMCID: PMC8000710 DOI: 10.3390/biom11030404] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Revised: 03/04/2021] [Accepted: 03/04/2021] [Indexed: 02/07/2023] Open
Abstract
The consumption of cow's milk is a part of the basic nutritional habits of Western industrialized countries. Recent epidemiological studies associate the intake of cow's milk with an increased risk of diseases, which are associated with overactivated mechanistic target of rapamycin complex 1 (mTORC1) signaling. This review presents current epidemiological and translational evidence linking milk consumption to the regulation of mTORC1, the master-switch for eukaryotic cell growth. Epidemiological studies confirm a correlation between cow's milk consumption and birthweight, body mass index, onset of menarche, linear growth during childhood, acne vulgaris, type 2 diabetes mellitus, prostate cancer, breast cancer, hepatocellular carcinoma, diffuse large B-cell lymphoma, neurodegenerative diseases, and all-cause mortality. Thus, long-term persistent consumption of cow's milk increases the risk of mTORC1-driven diseases of civilization. Milk is a highly conserved, lactation genome-controlled signaling system that functions as a maternal-neonatal relay for optimized species-specific activation of mTORC1, the nexus for regulation of eukaryotic cell growth, and control of autophagy. A deeper understanding of milk´s impact on mTORC1 signaling is of critical importance for the prevention of common diseases of civilization.
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Affiliation(s)
- Bodo C Melnik
- Department of Dermatology, Environmental Medicine and Health Theory, University of Osnabrück, Am Finkenhügel 7a, D-49076 Osnabrück, Germany
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22
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Zhai Y, Zhao B, Wang Y, Li L, Li J, Li X, Chang L, Chen Q, Liao Z. Construction of the optimization prognostic model based on differentially expressed immune genes of lung adenocarcinoma. BMC Cancer 2021; 21:213. [PMID: 33648465 PMCID: PMC7923649 DOI: 10.1186/s12885-021-07911-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Accepted: 02/11/2021] [Indexed: 02/07/2023] Open
Abstract
Background Lung adenocarcinoma (LUAD) is the most common pathology subtype of lung cancer. In recent years, immunotherapy, targeted therapy and chemotherapeutics conferred a certain curative effects. However, the effect and prognosis of LUAD patients are different, and the efficacy of existing LUAD risk prediction models is unsatisfactory. Methods The Cancer Genome Atlas (TCGA) LUAD dataset was downloaded. The differentially expressed immune genes (DEIGs) were analyzed with edgeR and DESeq2. The prognostic DEIGs were identified by COX regression. Protein-protein interaction (PPI) network was inferred by STRING using prognostic DEIGs with p value< 0.05. The prognostic model based on DEIGs was established using Lasso regression. Immunohistochemistry was used to assess the expression of FERMT2, FKBP3, SMAD9, GATA2, and ITIH4 in 30 cases of LUAD tissues. Results In total,1654 DEIGs were identified, of which 436 genes were prognostic. Gene functional enrichment analysis indicated that the DEIGs were involved in inflammatory pathways. We constructed 4 models using DEIGs. Finally, model 4, which was constructed using the 436 DEIGs performed the best in prognostic predictions, the receiver operating characteristic curve (ROC) was 0.824 for 3 years, 0.838 for 5 years, 0.834 for 10 years. High levels of FERMT2, FKBP3 and low levels of SMAD9, GATA2, ITIH4 expression are related to the poor overall survival in LUAD (p < 0.05). The prognostic model based on DEIGs reflected infiltration by immune cells. Conclusions In our study, we built an optimal prognostic signature for LUAD using DEIGs and verified the expression of selected genes in LUAD. Our result suggests immune signature can be harnessed to obtain prognostic insights. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-021-07911-8.
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Affiliation(s)
- Yang Zhai
- Department of Oncology, Tumor Hospital of Shaanxi Province, Xi'an, 710061, People's Republic of China.,Bioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an, 710049, PR China
| | - Bin Zhao
- Department of Epidemiology, Shaanxi Provincial Tumor Hospital, Xi'an, 710061, China.,The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Yuzhen Wang
- Department of Oncology, Tumor Hospital of Shaanxi Province, Xi'an, 710061, People's Republic of China
| | - Lina Li
- Department of Oncology, Tumor Hospital of Shaanxi Province, Xi'an, 710061, People's Republic of China
| | - Jingjin Li
- Department of Vasculocardiology, First Affiliated Hospital, Xi'an Jiaotong University Medical College, Xi'an, 710061, PR China
| | - Xu Li
- Department of Oncology, Tumor Hospital of Shaanxi Province, Xi'an, 710061, People's Republic of China
| | - Linhan Chang
- Xi'an Medical University, Xi'an, 710061, PR China
| | - Qian Chen
- Department of Reproduction, First Affiliated Hospital, Xi'an Jiaotong University Medical College, Xi'an, Shaanxi, 710061, PR China.
| | - Zijun Liao
- Department of Oncology, Tumor Hospital of Shaanxi Province, Xi'an, 710061, People's Republic of China.
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23
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Li J, Li H, Zhang C, Zhang C, Wang H. Integrative analysis of genomic alteration, immune cells infiltration and prognosis of lung squamous cell carcinoma (LUSC) to identify smoking-related biomarkers. Int Immunopharmacol 2020; 89:107053. [PMID: 33045568 DOI: 10.1016/j.intimp.2020.107053] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 09/23/2020] [Accepted: 09/25/2020] [Indexed: 12/13/2022]
Abstract
Lung squamous cell carcinoma (LUSC) is the most common histologic type of smoking-related non-small cell lung cancer (NSCLC). However, there are no identified potential biomarkers for smoking-related LUSC diagnosis and prognosis. Especially, the characteristics of genetic alteration and tumor microenvironment induced by cigarette smoking remain unknown. Here, we performed integrative analysis of 463 LUSC with smoking history information from The Cancer Genome Atlas (TCGA). Non-smokers had the best prognosis, and current reformed smokers had better overall survival (OS) than current smokers in all and stage I-II cohort. Then, pathway enrichment analysis might suggest that smoking may play a role in regulating tumor metabolism and invasion and metastasis via those pathways. We constructed an eight-gene signature and identified WNT7A, Solute carrier-7A5 (SLC7A5) and Brain‑type glycogen phosphorylase (PYGB), which may be served as biomarkers related to the smoking. Notably, the single copy deletion of WNT7A and SLC17A5 and the low-level amplification of PYGB may be related to the epigenetic mechanism of smoking on tumorigenesis. We also estimated the relative proportion of 24 immune cell subtypes within tumor microenvironment in different smoking status. Interestingly, we found NK cells activated, NK cells resting and endothelial cells might play an important role in immunologic dysfunction and harmful tumor microenvironment induced by cigarette smoking. Our research has identified potential biomarkers for smoking-related LUSC diagnosis and prognosis, which would help to further understand the pathogenesis of LUSC.
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Affiliation(s)
- Jia Li
- Department of Integrated Chinese and Western Medicine, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, Henan 450008, China
| | - Huahua Li
- Department of Integrated Chinese and Western Medicine, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, Henan 450008, China
| | - Chenyue Zhang
- Department of Integrated Therapy, Fudan University Shanghai Cancer Center, Shanghai Medical College, Shanghai 200032, China
| | - Chenxing Zhang
- Department of Nephrology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Haiyong Wang
- Department of Internal Medicine-Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, China.
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24
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Alfarsi LH, El Ansari R, Masisi BK, Parks R, Mohammed OJ, Ellis IO, Rakha EA, Green AR. Integrated Analysis of Key Differentially Expressed Genes Identifies DBN1 as a Predictive Marker of Response to Endocrine Therapy in Luminal Breast Cancer. Cancers (Basel) 2020; 12:cancers12061549. [PMID: 32545448 PMCID: PMC7352383 DOI: 10.3390/cancers12061549] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 06/08/2020] [Accepted: 06/10/2020] [Indexed: 12/26/2022] Open
Abstract
Endocrine therapy is the mainstay of adjuvant treatment for patients with luminal breast cancer. Despite ongoing advances in endocrine therapy to date, a proportion of patients ultimately develop endocrine resistance, resulting in failure of therapy and poor prognosis. Therefore, as part of the growing concept of personalised medicine, the need for identification of predictive markers of endocrine therapy response at an early stage, is recognised. The METABRIC series was used to identify differentially expressed genes (DEGs) in term of response to adjuvant endocrine therapy. Drebrin 1 (DBN1) was identified as a key DEG associated with response to hormone treatment. Next, large, well-characterised cohorts of primary luminal breast cancer with long-term follow-up were assessed at the mRNA and protein levels for the value of DBN1 as a prognostic marker in luminal breast cancer, as well as its potential for predicting the benefit of endocrine therapy. DBN1 positivity was associated with aggressive clinicopathological variables and poor patient outcomes. Importantly, high DBN1 expression predicted relapse patients who were subject to adjuvant endocrine treatment. Our results further demonstrate that DBN1 is an independent prognostic marker in luminal breast cancer. Its association with the response to endocrine therapy and outcome provides evidence for DBN1 as a potential biomarker in luminal breast cancer, particularly for the benefit of endocrine treatment. Further functional investigations into the mechanisms underlying sensitivity to endocrine therapy is required.
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Affiliation(s)
- Lutfi H. Alfarsi
- Nottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham Biodiscovery Institute, University Park, Nottingham NG7 2RD, UK; (L.H.A.); (R.E.A.); (B.K.M.); (R.P.); (O.J.M.); (I.O.E.); (E.A.R.)
| | - Rokaya El Ansari
- Nottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham Biodiscovery Institute, University Park, Nottingham NG7 2RD, UK; (L.H.A.); (R.E.A.); (B.K.M.); (R.P.); (O.J.M.); (I.O.E.); (E.A.R.)
| | - Brendah K. Masisi
- Nottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham Biodiscovery Institute, University Park, Nottingham NG7 2RD, UK; (L.H.A.); (R.E.A.); (B.K.M.); (R.P.); (O.J.M.); (I.O.E.); (E.A.R.)
| | - Ruth Parks
- Nottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham Biodiscovery Institute, University Park, Nottingham NG7 2RD, UK; (L.H.A.); (R.E.A.); (B.K.M.); (R.P.); (O.J.M.); (I.O.E.); (E.A.R.)
| | - Omar J Mohammed
- Nottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham Biodiscovery Institute, University Park, Nottingham NG7 2RD, UK; (L.H.A.); (R.E.A.); (B.K.M.); (R.P.); (O.J.M.); (I.O.E.); (E.A.R.)
| | - Ian O. Ellis
- Nottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham Biodiscovery Institute, University Park, Nottingham NG7 2RD, UK; (L.H.A.); (R.E.A.); (B.K.M.); (R.P.); (O.J.M.); (I.O.E.); (E.A.R.)
- Cellular Pathology, Nottingham University Hospitals NHS Trust, Nottingham City Hospital, Hucknall Road, Nottingham NG5 1PB, UK
| | - Emad A. Rakha
- Nottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham Biodiscovery Institute, University Park, Nottingham NG7 2RD, UK; (L.H.A.); (R.E.A.); (B.K.M.); (R.P.); (O.J.M.); (I.O.E.); (E.A.R.)
- Cellular Pathology, Nottingham University Hospitals NHS Trust, Nottingham City Hospital, Hucknall Road, Nottingham NG5 1PB, UK
| | - Andrew R. Green
- Nottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham Biodiscovery Institute, University Park, Nottingham NG7 2RD, UK; (L.H.A.); (R.E.A.); (B.K.M.); (R.P.); (O.J.M.); (I.O.E.); (E.A.R.)
- Correspondence: ; Tel.: +44-115-8231407
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