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Tutanov O, Shefer A, Shefer E, Ruzankin P, Tsentalovich Y, Tamkovich S. DNA-Binding Proteins and Passenger Proteins in Plasma DNA-Protein Complexes: Imprint of Parental Cells or Key Mediators of Carcinogenesis Processes? Int J Mol Sci 2024; 25:5165. [PMID: 38791202 PMCID: PMC11121045 DOI: 10.3390/ijms25105165] [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: 03/23/2024] [Revised: 05/03/2024] [Accepted: 05/04/2024] [Indexed: 05/26/2024] Open
Abstract
Knowledge of the composition of proteins that interact with plasma DNA will provide a better understanding of the homeostasis of circulating nucleic acids and the various modes of interaction with target cells, which may be useful in the development of gene targeted therapy approaches. The goal of the present study is to shed light on the composition and architecture of histone-containing nucleoprotein complexes (NPCs) from the blood plasma of healthy females (HFs) and breast cancer patients (BCPs) and to explore the relationship of proteins with crucial steps of tumor progression: epithelial-mesenchymal transition (EMT), cell proliferation, invasion, cell migration, stimulation of angiogenesis, and immune response. MALDI-TOF mass spectrometric analysis of NPCs isolated from blood samples using affine chromatography was performed. Bioinformatics analysis showed that the shares of DNA-binding proteins in the compositions of NPCs in normal and cancer patients are comparable and amount to 40% and 33%, respectively; in total, we identified 38 types of DNA-binding motifs. Functional enrichment analysis using FunRich 3.13 showed that, in BCP blood, the share of DNA-binding proteins involved in nucleic acid metabolism increased, while the proportion of proteins involved in intercellular communication and signal transduction decreased. The representation of NPC passenger proteins in breast cancer also changes: the proportion of proteins involved in transport increases and the share of proteins involved in energy biological pathways decreases. Moreover, in the HF blood, proteins involved in the processes of apoptosis were more represented in the composition of NPCs and in the BCP blood-in the processes of active secretion. For the first time, bioinformatics approaches were used to visualize the architecture of circulating NPCs in the blood and to show that breast cancer has an increased representation of passenger proteins involved in EMT, cell proliferation, invasion, cell migration, and immune response. Using breast cancer protein data from the Human Protein Atlas (HPA) and DEPC, we found that 86% of NPC proteins in the blood of BCPs were not previously annotated in these databases. The obtained data may indirectly indicate directed protein sorting in NPCs, which, along with extracellular vesicles, can not only be diagnostically significant molecules for liquid biopsy, but can also carry out the directed transfer of genetic material from donor cells to recipient cells.
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Affiliation(s)
- Oleg Tutanov
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA;
| | - Aleksei Shefer
- Laboratory of Molecular Medicine, Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia;
- Novosibirsk State University, 630090 Novosibirsk, Russia
| | - Evgenii Shefer
- Novosibirsk State University, 630090 Novosibirsk, Russia
- Laboratory of Applied Inverse Problems, Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia
| | - Pavel Ruzankin
- Novosibirsk State University, 630090 Novosibirsk, Russia
- Laboratory of Applied Inverse Problems, Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia
| | - Yuri Tsentalovich
- Laboratory of Proteomics and Metabolomics, International Tomography Center, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia;
| | - Svetlana Tamkovich
- Laboratory of Molecular Medicine, Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia;
- Novosibirsk State University, 630090 Novosibirsk, Russia
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2
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Annapragada AV, Niknafs N, White JR, Bruhm DC, Cherry C, Medina JE, Adleff V, Hruban C, Mathios D, Foda ZH, Phallen J, Scharpf RB, Velculescu VE. Genome-wide repeat landscapes in cancer and cell-free DNA. Sci Transl Med 2024; 16:eadj9283. [PMID: 38478628 DOI: 10.1126/scitranslmed.adj9283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 02/16/2024] [Indexed: 03/22/2024]
Abstract
Genetic changes in repetitive sequences are a hallmark of cancer and other diseases, but characterizing these has been challenging using standard sequencing approaches. We developed a de novo kmer finding approach, called ARTEMIS (Analysis of RepeaT EleMents in dISease), to identify repeat elements from whole-genome sequencing. Using this method, we analyzed 1.2 billion kmers in 2837 tissue and plasma samples from 1975 patients, including those with lung, breast, colorectal, ovarian, liver, gastric, head and neck, bladder, cervical, thyroid, or prostate cancer. We identified tumor-specific changes in these patients in 1280 repeat element types from the LINE, SINE, LTR, transposable element, and human satellite families. These included changes to known repeats and 820 elements that were not previously known to be altered in human cancer. Repeat elements were enriched in regions of driver genes, and their representation was altered by structural changes and epigenetic states. Machine learning analyses of genome-wide repeat landscapes and fragmentation profiles in cfDNA detected patients with early-stage lung or liver cancer in cross-validated and externally validated cohorts. In addition, these repeat landscapes could be used to noninvasively identify the tissue of origin of tumors. These analyses reveal widespread changes in repeat landscapes of human cancers and provide an approach for their detection and characterization that could benefit early detection and disease monitoring of patients with cancer.
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Affiliation(s)
- Akshaya V Annapragada
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Noushin Niknafs
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - James R White
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Daniel C Bruhm
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Christopher Cherry
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Jamie E Medina
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Vilmos Adleff
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Carolyn Hruban
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Dimitrios Mathios
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Zachariah H Foda
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Jillian Phallen
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Robert B Scharpf
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Victor E Velculescu
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
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3
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Vylegzhanina AV, Bespalov IA, Novototskaya-Vlasova KA, Hall BM, Gleiberman AS, Yu H, Leontieva OV, Leonova KI, Kurnasov OV, Osterman AL, Dy GK, Komissarov AA, Vasilieva E, Gehlhausen J, Iwasaki A, Ambrosone CB, Tsuji T, Matsuzaki J, Odunsi K, Andrianova EL, Gudkov AV. Cancer Relevance of Circulating Antibodies Against LINE-1 Antigens in Humans. CANCER RESEARCH COMMUNICATIONS 2023; 3:2256-2267. [PMID: 37870410 PMCID: PMC10631453 DOI: 10.1158/2767-9764.crc-23-0289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 08/16/2023] [Accepted: 10/13/2023] [Indexed: 10/24/2023]
Abstract
Long interspersed nuclear element-1 (LINE-1 or L1), the most abundant family of autonomous retrotransposons occupying over 17% of human DNA, is epigenetically silenced in normal tissues by the mechanisms involving p53 but is frequently derepressed in cancer, suggesting that L1-encoded proteins may act as tumor-associated antigens recognized by the immune system. In this study, we established an immunoassay to detect circulating autoantibodies against L1 proteins in human blood. Using this assay in >2,800 individuals with or without cancer, we observed significantly higher IgG titers against L1-encoded ORF1p and ORF2p in patients with lung, pancreatic, ovarian, esophageal, and liver cancers than in healthy individuals. Remarkably, elevated levels of anti-ORF1p-reactive IgG were observed in patients with cancer with disease stages 1 and 2, indicating that the immune response to L1 antigens can occur in the early phases of carcinogenesis. We concluded that the antibody response against L1 antigens could contribute to the diagnosis and determination of immunoreactivity of tumors among cancer types that frequently escape early detection. SIGNIFICANCE The discovery of autoantibodies against antigens encoded by L1 retrotransposons in patients with five poorly curable cancer types has potential implications for the detection of an ongoing carcinogenic process and tumor immunoreactivity.
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Affiliation(s)
| | | | | | | | | | - Han Yu
- Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | | | | | - Oleg V Kurnasov
- Sanford Burnham Prebys Medical Discovery Institute, La Jolla, California
| | - Andrei L Osterman
- Sanford Burnham Prebys Medical Discovery Institute, La Jolla, California
| | - Grace K Dy
- Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Alexey A Komissarov
- I.V. Davydovsky Clinical City Hospital, Moscow, Russia
- A.I. Yevdokimov Moscow State University of Medicine and Dentistry, Moscow, Russia
| | - Elena Vasilieva
- I.V. Davydovsky Clinical City Hospital, Moscow, Russia
- A.I. Yevdokimov Moscow State University of Medicine and Dentistry, Moscow, Russia
| | | | - Akiko Iwasaki
- Yale University, New Haven, Connecticut
- Howard Hughes Medical Institute, Chevy Chase, Maryland
| | | | - Takemasa Tsuji
- University of Chicago Medicine Comprehensive Cancer Center, Chicago, Illinois
| | - Junko Matsuzaki
- University of Chicago Medicine Comprehensive Cancer Center, Chicago, Illinois
| | - Kunle Odunsi
- University of Chicago Medicine Comprehensive Cancer Center, Chicago, Illinois
| | | | - Andrei V Gudkov
- Genome Protection, Inc., Buffalo, New York
- Roswell Park Comprehensive Cancer Center, Buffalo, New York
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Hovhannisyan G, Harutyunyan T, Aroutiounian R, Liehr T. The Diagnostic, Prognostic, and Therapeutic Potential of Cell-Free DNA with a Special Focus on COVID-19 and Other Viral Infections. Int J Mol Sci 2023; 24:14163. [PMID: 37762464 PMCID: PMC10532175 DOI: 10.3390/ijms241814163] [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: 08/02/2023] [Revised: 09/11/2023] [Accepted: 09/13/2023] [Indexed: 09/29/2023] Open
Abstract
Cell-free DNA (cfDNA) in human blood serum, urine, and other body fluids recently became a commonly used diagnostic marker associated with various pathologies. This is because cfDNA enables a much higher sensitivity than standard biochemical parameters. The presence of and/or increased level of cfDNA has been reported for various diseases, including viral infections, including COVID-19. Here, we review cfDNA in general, how it has been identified, where it can derive from, its molecular features, and mechanisms of release and clearance. General suitability of cfDNA for diagnostic questions, possible shortcomings and future directions are discussed, with a special focus on coronavirus infection.
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Affiliation(s)
- Galina Hovhannisyan
- Department of Genetics and Cytology, Yerevan State University, Alex Manoogian 1, Yerevan 0025, Armenia; (G.H.); (T.H.); (R.A.)
| | - Tigran Harutyunyan
- Department of Genetics and Cytology, Yerevan State University, Alex Manoogian 1, Yerevan 0025, Armenia; (G.H.); (T.H.); (R.A.)
| | - Rouben Aroutiounian
- Department of Genetics and Cytology, Yerevan State University, Alex Manoogian 1, Yerevan 0025, Armenia; (G.H.); (T.H.); (R.A.)
| | - Thomas Liehr
- Jena University Hospital, Friedrich Schiller University, Institute of Human Genetics, Am Klinikum 1, 07747 Jena, Germany
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5
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Bronkhorst AJ, Holdenrieder S. Cell-Free Nucleic Acids: Physico-Chemical Properties, Analytical Considerations, and Clinical Applications. Diagnostics (Basel) 2023; 13:2312. [PMID: 37443705 DOI: 10.3390/diagnostics13132312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 07/05/2023] [Indexed: 07/15/2023] Open
Abstract
Human body fluids are rich sources of cell-free nuclear material, which exhibits unique characteristics [...].
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Affiliation(s)
- Abel J Bronkhorst
- Munich Biomarker Research Center, Institute of Laboratory Medicine, German Heart Center, Technical University Munich, 80636 Munich, Germany
| | - Stefan Holdenrieder
- Munich Biomarker Research Center, Institute of Laboratory Medicine, German Heart Center, Technical University Munich, 80636 Munich, Germany
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6
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Gezer U, Bronkhorst AJ, Holdenrieder S. The Clinical Utility of Droplet Digital PCR for Profiling Circulating Tumor DNA in Breast Cancer Patients. Diagnostics (Basel) 2022; 12:diagnostics12123042. [PMID: 36553049 PMCID: PMC9776872 DOI: 10.3390/diagnostics12123042] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 11/29/2022] [Accepted: 11/30/2022] [Indexed: 12/07/2022] Open
Abstract
Breast cancer is the most common cancer affecting women worldwide. It is a malignant and heterogeneous disease with distinct molecular subtypes, which has prognostic and predictive implications. Circulating tumor DNA (ctDNA), cell-free fragmented tumor-derived DNA in blood plasma, is an invaluable source of specific cancer-associated mutations and holds great promise for the development of minimally invasive diagnostic tests. Furthermore, serial monitoring of ctDNA over the course of systemic and targeted therapies not only allows unparalleled efficacy assessments but also enables the identification of patients who are at risk of progression or recurrence. Droplet digital PCR (ddPCR) is a powerful technique for the detection and monitoring of ctDNA. Due to its relatively high accuracy, sensitivity, reproducibility, and capacity for absolute quantification, it is increasingly used as a tool for managing cancer patients through liquid biopsies. In this review paper, we gauge the clinical utility of ddPCR as a technique for mutational profiling in breast cancer patients and focus on HER2, PIK3CA, ESR1, and TP53, which represent the most frequently mutated genes in breast cancers.
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Affiliation(s)
- Ugur Gezer
- Institute of Oncology, Department of Basic Oncology, Istanbul University, Istanbul 34093, Turkey
| | - Abel J. Bronkhorst
- Munich Biomarker Research Center, Institute of Laboratory Medicine, German Heart Center Munich Technical University Munich, 80636 München, Germany
| | - Stefan Holdenrieder
- Munich Biomarker Research Center, Institute of Laboratory Medicine, German Heart Center Munich Technical University Munich, 80636 München, Germany
- Correspondence:
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7
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New Perspectives on the Importance of Cell-Free DNA Biology. Diagnostics (Basel) 2022; 12:diagnostics12092147. [PMID: 36140548 PMCID: PMC9497998 DOI: 10.3390/diagnostics12092147] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Revised: 08/24/2022] [Accepted: 08/31/2022] [Indexed: 11/28/2022] Open
Abstract
Body fluids are constantly replenished with a population of genetically diverse cell-free DNA (cfDNA) fragments, representing a vast reservoir of information reflecting real-time changes in the host and metagenome. As many body fluids can be collected non-invasively in a one-off and serial fashion, this reservoir can be tapped to develop assays for the diagnosis, prognosis, and monitoring of wide-ranging pathologies, such as solid tumors, fetal genetic abnormalities, rejected organ transplants, infections, and potentially many others. The translation of cfDNA research into useful clinical tests is gaining momentum, with recent progress being driven by rapidly evolving preanalytical and analytical procedures, integrated bioinformatics, and machine learning algorithms. Yet, despite these spectacular advances, cfDNA remains a very challenging analyte due to its immense heterogeneity and fluctuation in vivo. It is increasingly recognized that high-fidelity reconstruction of the information stored in cfDNA, and in turn the development of tests that are fit for clinical roll-out, requires a much deeper understanding of both the physico-chemical features of cfDNA and the biological, physiological, lifestyle, and environmental factors that modulate it. This is a daunting task, but with significant upsides. In this review we showed how expanded knowledge on cfDNA biology and faithful reverse-engineering of cfDNA samples promises to (i) augment the sensitivity and specificity of existing cfDNA assays; (ii) expand the repertoire of disease-specific cfDNA markers, thereby leading to the development of increasingly powerful assays; (iii) reshape personal molecular medicine; and (iv) have an unprecedented impact on genetics research.
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