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Banerjee S, Hatimuria M, Sarkar K, Das J, Pabbathi A, Sil PC. Recent Contributions of Mass Spectrometry-Based "Omics" in the Studies of Breast Cancer. Chem Res Toxicol 2024; 37:137-180. [PMID: 38011513 DOI: 10.1021/acs.chemrestox.3c00223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Breast cancer (BC) is one of the most heterogeneous groups of cancer. As every biotype of BC is unique and presents a particular "omic" signature, they are increasingly characterized nowadays with novel mass spectrometry (MS) strategies. BC therapeutic approaches are primarily based on the two features of human epidermal growth factor receptor 2 (HER2) and estrogen receptor (ER) positivity. Various strategic MS implementations are reported in studies of BC also involving data independent acquisitions (DIAs) of MS which report novel differential proteomic, lipidomic, proteogenomic, phosphoproteomic, and metabolomic characterizations associated with the disease and its therapeutics. Recently many "omic" studies have aimed to identify distinct subsidiary biotypes for diagnosis, prognosis, and targets of treatment. Along with these, drug-induced-resistance phenotypes are characterized by "omic" changes. These identifying aspects of the disease may influence treatment outcomes in the near future. Drug quantifications and characterizations are also done regularly and have implications in therapeutic monitoring and in drug efficacy assessments. We report these studies, mentioning their implications toward the understanding of BC. We briefly provide the MS instrumentation principles that are adopted in such studies as an overview with a brief outlook on DIA-MS strategies. In all of these, we have chosen a model cancer for its revelations through MS-based "omics".
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Affiliation(s)
- Subhrajit Banerjee
- Department of Physiology, Surendranath College, University of Calcutta, Kolkata 700009, India
- Department of Microbiology, St. Xavier's College, Kolkata 700016, India
| | - Madushmita Hatimuria
- Department of Industrial Chemistry, School of Physical Sciences, Mizoram University, Aizawl 796004, Mizoram India
| | - Kasturi Sarkar
- Department of Microbiology, St. Xavier's College, Kolkata 700016, India
| | - Joydeep Das
- Department of Chemistry, School of Physical Sciences, Mizoram University, Aizawl 796004, Mizoram, India
| | - Ashok Pabbathi
- Department of Industrial Chemistry, School of Physical Sciences, Mizoram University, Aizawl 796004, Mizoram India
| | - Parames C Sil
- Department of Molecular Medicine Bose Institute, Kolkata 700054, India
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Liu L, Kawashima M, Sugimoto M, Sonomura K, Pu F, Li W, Takeda M, Goto T, Kawaguchi K, Sato T, Toi M. Discovery of lipid profiles in plasma-derived extracellular vesicles as biomarkers for breast cancer diagnosis. Cancer Sci 2023; 114:4020-4031. [PMID: 37608343 PMCID: PMC10551607 DOI: 10.1111/cas.15935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 07/11/2023] [Accepted: 08/06/2023] [Indexed: 08/24/2023] Open
Abstract
Lipids are a major component of extracellular vesicles; however, their significance in tumorigenesis and progression has not been well elucidated. As we previously found that lipid profiles drastically changed in breast tumors upon progression, we hypothesized that lipid profiles of plasma-derived extracellular vesicles could be utilized as breast cancer biomarkers. Here, we adopted modified sucrose cushion ultracentrifugation to isolate plasma-derived extracellular vesicles from breast cancer (n = 105), benign (n = 11), and healthy individuals (n = 43) in two independent cohorts (n = 126 and n = 33) and conducted targeted lipidomic analysis. We established a breast cancer diagnostic model comprising three lipids that showed favorable performance with the area under the receiver operating characteristic curve of 0.759, 0.743, and 0.804 in the training, internal validation, and external test sets, respectively. Moreover, we identified several lipids that could effectively discriminate breast cancer progression and subtypes: phosphatidylethanolamines and phosphatidylserines were relatively higher in Stage III, whereas phosphatidylcholines and sphingomyelins were higher in Stage IV; phosphatidylcholines and ceramides were correspondingly concentrated in HER2-positive patients, while lysophosphatidylcholines and polyunsaturated triglycerides were concentrated in the triple-negative breast cancer subtype. Lipid profiling of plasma-derived extracellular vesicles is a non-invasive and promising approach for diagnosing, staging, and subtyping breast cancer.
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Affiliation(s)
- Lin Liu
- Department of Breast Surgery, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Masahiro Kawashima
- Department of Breast Surgery, Graduate School of MedicineKyoto UniversityKyotoJapan
| | | | - Kazuhiro Sonomura
- Center for Genomic Medicine, Graduate School of MedicineKyoto UniversityKyotoJapan
- Life Science Research Center, Technology Research LaboratoryShimadzu CorporationKyotoJapan
| | - Fengling Pu
- Department of Breast Surgery, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Wei Li
- Department of Breast Surgery, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Masashi Takeda
- Department of Urology, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Takayuki Goto
- Department of Urology, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Kosuke Kawaguchi
- Department of Breast Surgery, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Taka‐Aki Sato
- Life Science Research Center, Technology Research LaboratoryShimadzu CorporationKyotoJapan
| | - Masakazu Toi
- Department of Breast Surgery, Graduate School of MedicineKyoto UniversityKyotoJapan
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Hristova J, Svinarov D. Enhancing precision medicine through clinical mass spectrometry platform. BIOTECHNOL BIOTEC EQ 2022. [DOI: 10.1080/13102818.2022.2053342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
Affiliation(s)
- Julieta Hristova
- Alexander University Hospital, Faculty of Medicine, Medical University of Sofia, Sofia, Bulgaria
| | - Dobrin Svinarov
- Alexander University Hospital, Faculty of Medicine, Medical University of Sofia, Sofia, Bulgaria
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Tonoyan NM, Chagovets VV, Starodubtseva NL, Tokareva AO, Chingin K, Kozachenko IF, Adamyan LV, Frankevich VE. Alterations in lipid profile upon uterine fibroids and its recurrence. Sci Rep 2021; 11:11447. [PMID: 34075062 PMCID: PMC8169782 DOI: 10.1038/s41598-021-89859-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 04/30/2021] [Indexed: 11/09/2022] Open
Abstract
Uterine fibroids (UF) is the most common (about 70% cases) type of gynecological disease, with the recurrence rate varying from 11 to 40%. Because UF has no distinct symptomatology and is often asymptomatic, the specific and sensitive diagnosis of UF as well as the assessment for the probability of UF recurrence pose considerable challenge. The aim of this study was to characterize alterations in the lipid profile of tissues associated with the first-time diagnosed UF and recurrent uterine fibroids (RUF) and to explore the potential of mass spectrometry (MS) lipidomics analysis of blood plasma samples for the sensitive and specific determination of UF and RUF with low invasiveness of analysis. MS analysis of lipid levels in the myometrium tissues, fibroids tissues and blood plasma samples was carried out on 66 patients, including 35 patients with first-time diagnosed UF and 31 patients with RUF. The control group consisted of 15 patients who underwent surgical treatment for the intrauterine septum. Fibroids and myometrium tissue samples were analyzed using direct MS approach. Blood plasma samples were analyzed using high performance liquid chromatography hyphened with mass spectrometry (HPLC/MS). MS data were processed by discriminant analysis with projection into latent structures (OPLS-DA). Significant differences were found between the first-time UF, RUF and control group in the levels of lipids involved in the metabolism of glycerophospholipids, sphingolipids, lipids with an ether bond, triglycerides and fatty acids. Significant differences between the control group and the groups with UF and RUF were found in the blood plasma levels of cholesterol esters, triacylglycerols, (lyso) phosphatidylcholines and sphingomyelins. Significant differences between the UF and RUF groups were found in the blood plasma levels of cholesterol esters, phosphotidylcholines, sphingomyelins and triacylglycerols. Diagnostic models based on the selected differential lipids using logistic regression showed sensitivity and specificity of 88% and 86% for the diagnosis of first-time UF and 95% and 79% for RUF, accordingly. This study confirms the involvement of lipids in the pathogenesis of uterine fibroids. A diagnostically significant panel of differential lipid species has been identified for the diagnosis of UF and RUF by low-invasive blood plasma analysis. The developed diagnostic models demonstrated high potential for clinical use and further research in this direction.
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Affiliation(s)
- Narine M Tonoyan
- National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I. Kulakov of the Ministry of Healthcare of Russian Federation, Moscow, 117997, Russian Federation
| | - Vitaliy V Chagovets
- National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I. Kulakov of the Ministry of Healthcare of Russian Federation, Moscow, 117997, Russian Federation
| | - Natalia L Starodubtseva
- National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I. Kulakov of the Ministry of Healthcare of Russian Federation, Moscow, 117997, Russian Federation
- Moscow Institute of Physics and Technology, Moscow Region, 141700, Russian Federation
| | - Alisa O Tokareva
- National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I. Kulakov of the Ministry of Healthcare of Russian Federation, Moscow, 117997, Russian Federation
- V.L. Talrose Institute for Energy Problems of Chemical Physics, Russia Academy of Sciences, Moscow, 119991, Russian Federation
| | - Konstantin Chingin
- Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang, 330013, China
| | - Irena F Kozachenko
- National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I. Kulakov of the Ministry of Healthcare of Russian Federation, Moscow, 117997, Russian Federation
| | - Leyla V Adamyan
- National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I. Kulakov of the Ministry of Healthcare of Russian Federation, Moscow, 117997, Russian Federation
| | - Vladimir E Frankevich
- National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I. Kulakov of the Ministry of Healthcare of Russian Federation, Moscow, 117997, Russian Federation.
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Tokareva AO, Chagovets VV, Kononikhin AS, Starodubtseva NL, Nikolaev EN, Frankevich VE. Comparison of the effectiveness of variable selection method for creating a diagnostic panel of biomarkers for mass spectrometric lipidome analysis. JOURNAL OF MASS SPECTROMETRY : JMS 2021; 56:e4702. [PMID: 33629457 DOI: 10.1002/jms.4702] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2020] [Revised: 12/12/2020] [Accepted: 12/29/2020] [Indexed: 06/12/2023]
Abstract
Hundreds of compounds are detected during untargeted lipidomics analysis. The potential efficacy of lipids as disease markers makes it important to select the species with the most discriminative potential. Datasets based on a selected class of lipids allow the development of a high-quality diagnostic model using orthogonal projection on latent structure. The combination of selection of lipids by variable importance in projection and by Akaike information criteria makes it possible to build a reliable diagnostic model based on logistic regression.
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Affiliation(s)
- Alisa O Tokareva
- Moscow Institute of Physics and Technology, Moscow, Russia
- V.L. Talrose Institute for Energy Problems of Chemical Physics, N.N. Semenov Federal Center of Chemical Physic, Russian Academy of Sciences, Moscow, Russia
| | - Vitaliy V Chagovets
- National Medical Research Center for Obstetrics, Gynecology and Perinatology Named After Academician V.I. Kulakov, Healthcare of Russian Federation, Moscow, Russia
| | | | - Natalia L Starodubtseva
- Moscow Institute of Physics and Technology, Moscow, Russia
- National Medical Research Center for Obstetrics, Gynecology and Perinatology Named After Academician V.I. Kulakov, Healthcare of Russian Federation, Moscow, Russia
| | | | - Vladimir E Frankevich
- National Medical Research Center for Obstetrics, Gynecology and Perinatology Named After Academician V.I. Kulakov, Healthcare of Russian Federation, Moscow, Russia
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Analytical Platforms for the Determination of Phospholipid Turnover in Breast Cancer Tissue: Role of Phospholipase Activity in Breast Cancer Development. Metabolites 2021; 11:metabo11010032. [PMID: 33406793 PMCID: PMC7824782 DOI: 10.3390/metabo11010032] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 12/26/2020] [Accepted: 12/31/2020] [Indexed: 12/31/2022] Open
Abstract
Altered lipid metabolism has been associated with the progression of various cancers, and aberrant expression of enzymes involved in the lipid metabolism has been detected in different stages of cancer. Breast cancer (BC) is one of the cancer types known to be associated with alterations in the lipid metabolism and overexpression of enzymes involved in this metabolism. It has been demonstrated that inhibition of the activity of certain enzymes, such as that of phospholipase A2 in BC cell lines sensitizes these cells and decreases the IC50 values for forthcoming therapy with traditional drugs, such as doxorubicin and tamoxifen. Moreover, other phospholipases, such as phospholipase C and D, are involved in intracellular signal transduction, which emphasizes their importance in cancer development. Finally, BC is assumed to be dependent on the diet and the composition of lipids in nutrients. Despite their importance, analytical approaches that can associate the activity of phospholipases with changes in the lipid composition and distribution in cancer tissues are not yet standardized. In this review, an overview of various analytical platforms that are applied on the study of lipids and phospholipase activity in BC tissues will be given, as well as their association with cancer diagnosis and tumor progression. The methods that are applied to tissues obtained from the BC patients will be emphasized and critically evaluated, regarding their applicability in oncology.
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