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Su F, Descher H, Bui-Hoang M, Stuppner H, Skvortsova I, Rad EB, Ascher C, Weiss A, Rao Z, Hohloch S, Koeberle SC, Gust R, Koeberle A. Iron(III)-salophene catalyzes redox cycles that induce phospholipid peroxidation and deplete cancer cells of ferroptosis-protecting cofactors. Redox Biol 2024; 75:103257. [PMID: 38955113 PMCID: PMC11263665 DOI: 10.1016/j.redox.2024.103257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 06/11/2024] [Accepted: 06/24/2024] [Indexed: 07/04/2024] Open
Abstract
Ferroptosis, a lipid peroxidation-driven cell death program kept in check by glutathione peroxidase 4 and endogenous redox cycles, promises access to novel strategies for treating therapy-resistant cancers. Chlorido [N,N'-disalicylidene-1,2-phenylenediamine]iron (III) complexes (SCs) have potent anti-cancer properties by inducing ferroptosis, apoptosis, or necroptosis through still poorly understood molecular mechanisms. Here, we show that SCs preferentially induce ferroptosis over other cell death programs in triple-negative breast cancer cells (LC50 ≥ 0.07 μM) and are particularly effective against cell lines with acquired invasiveness, chemo- or radioresistance. Redox lipidomics reveals that initiation of cell death is associated with extensive (hydroper)oxidation of arachidonic acid and adrenic acid in membrane phospholipids, specifically phosphatidylethanolamines and phosphatidylinositols, with SCs outperforming established ferroptosis inducers. Mechanistically, SCs effectively catalyze one-electron transfer reactions, likely via a redox cycle involving the reduction of Fe(III) to Fe(II) species and reversible formation of oxo-bridged dimeric complexes, as supported by cyclic voltammetry. As a result, SCs can use hydrogen peroxide to generate organic radicals but not hydroxyl radicals and oxidize membrane phospholipids and (membrane-)protective factors such as NADPH, which is depleted from cells. We conclude that SCs catalyze specific redox reactions that drive membrane peroxidation while interfering with the ability of cells, including therapy-resistant cancer cells, to detoxify phospholipid hydroperoxides.
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Affiliation(s)
- Fengting Su
- Michael Popp Institute, Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck, Innsbruck, Austria
| | - Hubert Descher
- Institute of Pharmacy/Pharmaceutical Chemistry, Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck, Innsbruck, Austria
| | - Minh Bui-Hoang
- Michael Popp Institute, Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck, Innsbruck, Austria; Unit of Pharmacognosy, Institute of Pharmacy, Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck, Innsbruck, Austria
| | - Hermann Stuppner
- Unit of Pharmacognosy, Institute of Pharmacy, Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck, Innsbruck, Austria
| | - Ira Skvortsova
- EXTRO-Lab, Department of Therapeutic Radiology and Oncology, Medical University of Innsbruck, Innsbruck, Austria
| | - Ehsan Bonyadi Rad
- Michael Popp Institute, Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck, Innsbruck, Austria
| | - Claudia Ascher
- Institute for Biomedical Aging Research, University of Innsbruck, Innsbruck, Austria
| | - Alexander Weiss
- Institute for Biomedical Aging Research, University of Innsbruck, Innsbruck, Austria
| | - Zhigang Rao
- Michael Popp Institute, Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck, Innsbruck, Austria
| | - Stephan Hohloch
- Institute for General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria
| | - Solveigh C Koeberle
- Michael Popp Institute, Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck, Innsbruck, Austria
| | - Ronald Gust
- Institute of Pharmacy/Pharmaceutical Chemistry, Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck, Innsbruck, Austria
| | - Andreas Koeberle
- Michael Popp Institute, Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck, Innsbruck, Austria.
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Kranjc Brezar S. Transplantable Subcutaneous Tumor Models. Methods Mol Biol 2024; 2773:67-76. [PMID: 38236537 DOI: 10.1007/978-1-0716-3714-2_7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
Mouse tumor models are essential in cancer research, especially in elucidating malignancy, developing prevention, diagnosis, and new therapeutic approaches. Nowadays, due to standardized ways of maintaining animal colonies and the availability of mouse strains with known genetic backgrounds and approaches to reduce the variability of tumor size between animals, transplantable mouse tumor models can be widely used in translational cancer research. Here, we describe the induction of different subcutaneous tumor models in mice, in particular xenograft and syngeneic that can be used as experimental tumor models.
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Affiliation(s)
- Simona Kranjc Brezar
- Department of Experimental Oncology, Institute of Oncology, Ljubljana, Slovenia.
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Geršak K, Geršak BM, Gazić B, Klevišar Ivančič A, Drev P, Ružić Gorenjec N, Grašič Kuhar C. The Possible Role of Anti- and Protumor-Infiltrating Lymphocytes in Pathologic Complete Response in Early Breast Cancer Patients Treated with Neoadjuvant Systemic Therapy. Cancers (Basel) 2023; 15:4794. [PMID: 37835488 PMCID: PMC10571934 DOI: 10.3390/cancers15194794] [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: 08/18/2023] [Revised: 09/20/2023] [Accepted: 09/27/2023] [Indexed: 10/15/2023] Open
Abstract
The tumor microenvironment, composed of pro- and antitumor immune cells, affects cancer cell behavior. We aimed to evaluate whether tumor-infiltrating lymphocyte (TIL) density and TIL subtypes in core biopsies at the diagnosis of breast cancer patients could predict a pathologic complete response (pCR; ypT0/is ypN0) from neoadjuvant systemic therapy (NST). The TIL subtypes were determined based on the proportions of presumably antitumor (CD8+, CXCL13+) and protumor (PD-1+, FOXP3+) immune cells. A prospective, noninterventional study, including 171 participants undergoing NST, was performed. The median TIL density for the entire cohort was 10% (IQR: 3.5-23.8), and 59 (35%) patients achieved pCR. TIL density was positively associated with pCR (univariately and multivariably). In the multivariable logistic regression model, TIL density was an independent predictor of pCR (p = 0.012, OR 1.27; 95% CI 1.05-1.54) when controlled for age (p = 0.232), Ki-67 (p = 0.001), node-negative status (p = 0.024), and HER2+/triple negative vs. luminal B-like subtype (p < 0.001). In our sample, higher proportions of PD-1+ TILs and FOXP3+ TILs were associated with a higher probability of pCR but the association was not statistically significant and we could not make any conclusions on the direction of associations in the model with all four biomarkers. In the exploratory multivariable analysis, we showed that only higher CD8+ TILs were associated with pCR. In conclusion, TIL density and its subtypes are associated with pCR.
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Affiliation(s)
- Klara Geršak
- Faculty of Medicine, University of Ljubljana, Vrazov Trg 2, 1000 Ljubljana, Slovenia (B.G.); (A.K.I.); (C.G.K.)
- Division of Medical Oncology, Institute of Oncology Ljubljana, Zaloška Cesta 2, 1000 Ljubljana, Slovenia
| | - Blaž Matija Geršak
- Faculty of Medicine, University of Ljubljana, Vrazov Trg 2, 1000 Ljubljana, Slovenia (B.G.); (A.K.I.); (C.G.K.)
| | - Barbara Gazić
- Faculty of Medicine, University of Ljubljana, Vrazov Trg 2, 1000 Ljubljana, Slovenia (B.G.); (A.K.I.); (C.G.K.)
- Department of Pathology, Institute of Oncology Ljubljana, Zaloška Cesta 2, 1000 Ljubljana, Slovenia;
| | - Andreja Klevišar Ivančič
- Faculty of Medicine, University of Ljubljana, Vrazov Trg 2, 1000 Ljubljana, Slovenia (B.G.); (A.K.I.); (C.G.K.)
- Department of Pathology, Institute of Oncology Ljubljana, Zaloška Cesta 2, 1000 Ljubljana, Slovenia;
| | - Primož Drev
- Department of Pathology, Institute of Oncology Ljubljana, Zaloška Cesta 2, 1000 Ljubljana, Slovenia;
| | - Nina Ružić Gorenjec
- Institute for Biostatistics and Medical Informatics, Faculty of Medicine, University of Ljubljana, Vrazov Trg 2, 1000 Ljubljana, Slovenia;
| | - Cvetka Grašič Kuhar
- Faculty of Medicine, University of Ljubljana, Vrazov Trg 2, 1000 Ljubljana, Slovenia (B.G.); (A.K.I.); (C.G.K.)
- Division of Medical Oncology, Institute of Oncology Ljubljana, Zaloška Cesta 2, 1000 Ljubljana, Slovenia
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Production and optimization of a vasostatin-30 and vasoinhibin fusion protein that inhibits tumor angiogenesis and dissemination of breast cancer cells in a zebrafish model. Process Biochem 2022. [DOI: 10.1016/j.procbio.2022.05.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Li Q, Xiao Q, Yang M, Chai Q, Huang Y, Wu PY, Niu Q, Gu Y. Histogram analysis of quantitative parameters from synthetic MRI: Correlations with prognostic factors and molecular subtypes in invasive ductal breast cancer. Eur J Radiol 2021; 139:109697. [PMID: 33857828 DOI: 10.1016/j.ejrad.2021.109697] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Revised: 03/31/2021] [Accepted: 04/04/2021] [Indexed: 12/12/2022]
Abstract
PURPOSE To evaluate intra-tumoral heterogeneity through a histogram analysis of quantitative parameters obtained from synthetic MRI (magnetic resonance imaging), and determine correlations of these histogram characteristics with prognostic factors and molecular subtypes of invasive ductal carcinoma (IDC). METHODS A total of 122 IDC from 122 women who underwent preoperative synthetic MRI and DCE (dynamic contrast enhancement)-MRI were investigated. The synthetic MRI parameters (T1, T2, and PD (proton density)) were obtained. For each parameter, the minimum, 10th percentile, mean, median, 90th percentile, maximum, skewness, and kurtosis values of tumor were calculated, and correlations with prognostic factors and subtypes were assessed. The Mann-Whitney U test or the Student's t test were utilized to analyze the association between the histogram features of synthetic MRI parameters and prognostic factors. The Kruskal-Wallis test followed by the post-hoc test was used to analyze differences of synthetic MRI parameters among molecular subtypes. RESULTS IDC with high histopathologic grade showed statistically higher PDmaxium, T1mean and T1median values than those with low grade (p = 0.003, p = 0.007, p = 0.003). The T110th were significantly higher in cancers with PR (progesterone receptor) negativity than those with PR positivity (p = 0.005). ER-negative cancers had significant higher values of T210th, T2mean, and T2median than ER-positive cancers (p = 0.006, 0.002, and 0.006, respectively). The values of PDmedian were significantly higher in IDC with HER2 (human epidermal growth factor receptor 2) positivity than those with HER2 negativity (p = 0.001). When discriminating molecular subtypes of IDC, the T2mean achieved the highest performance. The T2mean values of TN (triple-negative), luminal B and luminal A types are arranged in descending order (p < 0.0001). CONCLUSIONS Histogram features derived from synthetic MRI quantifies the distributions of tissue relaxation time and proton density, and may serve as a potential biomarker for discriminating histopathological grade, hormone receptor status, HER2 expression status and breast cancer subtypes.
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Affiliation(s)
- Qin Li
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Qin Xiao
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Meng Yang
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Qinghuan Chai
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yan Huang
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | | | - Qingliang Niu
- Department of Radiology, WeiFang Traditional Chinese Hospital, Weizhou Road No. 1055, Weifang, Shandong, China.
| | - Yajia Gu
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
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Using proteomic and transcriptomic data to assess activation of intracellular molecular pathways. ADVANCES IN PROTEIN CHEMISTRY AND STRUCTURAL BIOLOGY 2021; 127:1-53. [PMID: 34340765 DOI: 10.1016/bs.apcsb.2021.02.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Analysis of molecular pathway activation is the recent instrument that helps to quantize activities of various intracellular signaling, structural, DNA synthesis and repair, and biochemical processes. This may have a deep impact in fundamental research, bioindustry, and medicine. Unlike gene ontology analyses and numerous qualitative methods that can establish whether a pathway is affected in principle, the quantitative approach has the advantage of exactly measuring the extent of a pathway up/downregulation. This results in emergence of a new generation of molecular biomarkers-pathway activation levels, which reflect concentration changes of all measurable pathway components. The input data can be the high-throughput proteomic or transcriptomic profiles, and the output numbers take both positive and negative values and positively reflect overall pathway activation. Due to their nature, the pathway activation levels are more robust biomarkers compared to the individual gene products/protein levels. Here, we review the current knowledge of the quantitative gene expression interrogation methods and their applications for the molecular pathway quantization. We consider enclosed bioinformatic algorithms and their applications for solving real-world problems. Besides a plethora of applications in basic life sciences, the quantitative pathway analysis can improve molecular design and clinical investigations in pharmaceutical industry, can help finding new active biotechnological components and can significantly contribute to the progressive evolution of personalized medicine. In addition to the theoretical principles and concepts, we also propose publicly available software for the use of large-scale protein/RNA expression data to assess the human pathway activation levels.
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Buzdin A, Skvortsova II, Li X, Wang Y. Editorial: Next Generation Sequencing Based Diagnostic Approaches in Clinical Oncology. Front Oncol 2021; 10:635555. [PMID: 33585258 PMCID: PMC7876435 DOI: 10.3389/fonc.2020.635555] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 12/14/2020] [Indexed: 01/26/2023] Open
Affiliation(s)
- Anton Buzdin
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia.,World-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, Moscow, Russia.,Translational Genome Bioinformatics Laboratory, Moscow Institute of Physics and Technology (National Research University), Moscow, Russia.,Research Department, OmicsWay Corp., Walnut, CA, United States
| | - Ira Ida Skvortsova
- Therapeutic Radiology and Oncology, Medical University of Innsbruck, Innsbruck, Austria.,Group for Experimental and Translational Radiooncology, Tyrolean Cancer Research Institute, Innsbruck, Austria.,PathoBiology Group, European Organization for Research and Treatment of Cancer (EORTC), Brussels, Belgium
| | - Xinmin Li
- Department of Pathology & Laboratory Medicine, University of California Los Angeles (UCLA) Technology Center for Genomics & Bioinformatics, Los Angeles, CA, United States
| | - Ye Wang
- Clinical Laboratory, Qingdao Central Hospital, The Second Affiliated Hospital of Medical College of Qingdao University, Qingdao, China
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Autenshlyus A, Davletova K, Varaksin N, Marinkin I, Lyakhovich V. Cytokines in various molecular subtypes of breast cancer. Int J Immunopathol Pharmacol 2021; 35:20587384211034089. [PMID: 34399595 PMCID: PMC8375341 DOI: 10.1177/20587384211034089] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 06/28/2021] [Indexed: 02/01/2023] Open
Abstract
INTRODUCTION Breast cancer is a heterogeneous disease that has multiple molecular and morphological subtypes. Nonetheless, the relation between various molecular subtypes and functional characteristics of a tumor in terms of cytokine secretion remains unknown. METHODS We studied spontaneous and mitogen-induced cytokine secretion by invasive breast carcinoma of no special type (IBC NST; cultured tumors and cultured peripheral blood cells), depending on a molecular tumor subtype (where "mitogens" means "polyclonal activators" (PA): phytohemagglutinin p, phytohemagglutinin M, concanavalin A, and Escherichia coli lipopolysaccharide). Enzyme-linked immunosorbent assays were used to determine concentrations of IL-6, IL-8, IL-10, IL-17, IL-18, IL-1β, IL-1Ra, TNF-α, IFN-γ, G-CSF, GM-CSF, VEGF, and MCP-1 in culture supernatants of the tumors and peripheral blood cells. RESULTS The luminal B HER2-positive molecular subtype of IBC NST was found to feature the highest spontaneous secretion of IL-6 and IL-8 and the highest mitogen-induced secretion of IL-6, IL-8, IL-1Ra, and TNF-α by tumors; the highest mitogen-induced secretion of IL-2, IL-6, IL-8, IL-1β, TNF-α, IFN-γ, and G-CSF by peripheral blood cells; and the highest cytokine-producing potential (the ratio of mitogen-induced to spontaneous secretion) of peripheral blood cells for the secretion of IL-6, IL-8, and IL-1Ra as compared to other molecular subtypes. The triple-negative subtype of IBC NST was characterized by the lowest cytokine-producing potential of tumors for the secretion of IL-6 and IL-8 as compared to other molecular subtypes as well as a lower "stimulation index of polyclonal activators" (calculated as (cytokine secretion after incubation with PA)/(spontaneous cytokine secretion)) for IL-18 secretion as compared to luminal subtypes. The XYZ correlated with a suppressive effect of PA on cytokine secretion by tumors of the triple-negative molecular subtype. CONCLUSION Therefore, our findings indicate that in IBC NST of luminal B HER2-positive and triple-negative molecular subtypes, the cytokine network has distinctive functional features.
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Affiliation(s)
- Alexsander Autenshlyus
- Federal Publicly Funded Institution of Higher Education, Novosibirsk State Medical University, Novosibirsk, Russian Federation
- Federal Publicly Funded Scientific Institution Federal Research Center of Fundamental and Translational Medicine, Institute of Molecular Biology and Biophysics, Novosibirsk, Russian Federation
| | - Kristina Davletova
- Federal Publicly Funded Institution of Higher Education, Novosibirsk State Medical University, Novosibirsk, Russian Federation
- Federal Publicly Funded Scientific Institution Federal Research Center of Fundamental and Translational Medicine, Institute of Molecular Biology and Biophysics, Novosibirsk, Russian Federation
| | - Nikolay Varaksin
- AO Vector-Best, Koltsovo, Novosibirsk Oblast, Russian Federation
| | - Igor Marinkin
- Federal Publicly Funded Institution of Higher Education, Novosibirsk State Medical University, Novosibirsk, Russian Federation
| | - Vyacheslav Lyakhovich
- Federal Publicly Funded Scientific Institution Federal Research Center of Fundamental and Translational Medicine, Institute of Molecular Biology and Biophysics, Novosibirsk, Russian Federation
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