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Asare-Werehene M, Hunter RA, Gerber E, Reunov A, Brine I, Chang CY, Chang CC, Shieh DB, Burger D, Anis H, Tsang BK. The Application of an Extracellular Vesicle-Based Biosensor in Early Diagnosis and Prediction of Chemoresponsiveness in Ovarian Cancer. Cancers (Basel) 2023; 15:cancers15092566. [PMID: 37174032 PMCID: PMC10177169 DOI: 10.3390/cancers15092566] [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: 02/27/2023] [Revised: 03/30/2023] [Accepted: 04/26/2023] [Indexed: 05/15/2023] Open
Abstract
BACKGROUND Ovarian cancer (OVCA) is the most fatal gynecological cancer with late diagnosis and plasma gelsolin (pGSN)-mediated chemoresistance representing the main obstacles to treatment success. Since there is no reliable approach to diagnosing patients at an early stage as well as predicting chemoresponsiveness, there is an urgent need to develop a diagnostic platform for such purposes. Small extracellular vesicles (sEVs) are attractive biomarkers given their potential accuracy for targeting tumor sites. METHODS We have developed a novel biosensor which utilizes cysteine-functionalized gold nanoparticles that simultaneously bind to cisplatin (CDDP) and plasma/cell-derived EVs, affording us the advantage of predicting OVCA chemoresponsiveness, and early diagnosis using surface-enhanced Raman spectroscopy. RESULTS We found that pGSN regulates cortactin (CTTN) content resulting in the formation of nuclear- and cytoplasmic-dense granules facilitating the secretion of sEVs carrying CDDP; a strategy used by resistant cells to survive CDDP action. The clinical utility of the biosensor was tested and subsequently revealed that the sEV/CA125 ratio outperformed CA125 and sEV individually in predicting early stage, chemoresistance, residual disease, tumor recurrence, and patient survival. CONCLUSION These findings highlight pGSN as a potential therapeutic target and provide a potential diagnostic platform to detect OVCA earlier and predict chemoresistance; an intervention that will positively impact patient-survival outcomes.
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Affiliation(s)
- Meshach Asare-Werehene
- Departments of Obstetrics & Gynecology and Cellular & Molecular Medicine, Centre for Infection, Immunity and Inflammation, Interdisciplinary School of Health Sciences, University of Ottawa, Ottawa, ON K1N 6N5, Canada
- Chronic Disease Program, Ottawa Hospital Research Institute, The Ottawa Hospital, Ottawa, ON K1Y 4E9, Canada
| | - Robert A Hunter
- School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON K1N 6N5, Canada
- Ottawa-Carleton Institute for Biomedical Engineering, University of Ottawa, Ottawa, ON K1N 6N5, Canada
| | - Emma Gerber
- Departments of Obstetrics & Gynecology and Cellular & Molecular Medicine, Centre for Infection, Immunity and Inflammation, Interdisciplinary School of Health Sciences, University of Ottawa, Ottawa, ON K1N 6N5, Canada
- Chronic Disease Program, Ottawa Hospital Research Institute, The Ottawa Hospital, Ottawa, ON K1Y 4E9, Canada
| | - Arkadiy Reunov
- Department of Biology, St. Francis Xavier University, 2320 Notre Dame Avenue, Antigonish, NS B2G 2W5, Canada
| | - Isaiah Brine
- Ottawa-Carleton Institute for Biomedical Engineering, University of Ottawa, Ottawa, ON K1N 6N5, Canada
| | - Chia-Yu Chang
- Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu 30068, Taiwan
- Center for Intelligent Drug Systems and Smart Bio-Devices (IDS2B), National Yang Ming Chiao Tung University, Hsinchu 30068, Taiwan
- Department of Electrophysics, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan
| | - Chia-Ching Chang
- Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu 30068, Taiwan
- Center for Intelligent Drug Systems and Smart Bio-Devices (IDS2B), National Yang Ming Chiao Tung University, Hsinchu 30068, Taiwan
- Department of Electrophysics, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan
- Institute of Physics, Academia Sinica, Taipei 10529, Taiwan
| | - Dar-Bin Shieh
- Institute of Basic Medical Science, Institute of Oral Medicine and Department of Stomatology, National Cheng Kung University Hospital, National Cheng Kung University, Tainan 704, Taiwan
- Advanced Optoelectronic Technology Center and Center for Micro/Nano Science and Technology, National Cheng Kung University, Tainan 701, Taiwan
| | - Dylan Burger
- Chronic Disease Program, Ottawa Hospital Research Institute, The Ottawa Hospital, Ottawa, ON K1Y 4E9, Canada
| | - Hanan Anis
- School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON K1N 6N5, Canada
| | - Benjamin K Tsang
- Departments of Obstetrics & Gynecology and Cellular & Molecular Medicine, Centre for Infection, Immunity and Inflammation, Interdisciplinary School of Health Sciences, University of Ottawa, Ottawa, ON K1N 6N5, Canada
- Chronic Disease Program, Ottawa Hospital Research Institute, The Ottawa Hospital, Ottawa, ON K1Y 4E9, Canada
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Naryzhny S, Ronzhina N, Zorina E, Kabachenko F, Klopov N, Zgoda V. Construction of 2DE Patterns of Plasma Proteins: Aspect of Potential Tumor Markers. Int J Mol Sci 2022; 23:ijms231911113. [PMID: 36232415 PMCID: PMC9569744 DOI: 10.3390/ijms231911113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 09/16/2022] [Accepted: 09/16/2022] [Indexed: 11/16/2022] Open
Abstract
The use of tumor markers aids in the early detection of cancer recurrence and prognosis. There is a hope that they might also be useful in screening tests for the early detection of cancer. Here, the question of finding ideal tumor markers, which should be sensitive, specific, and reliable, is an acute issue. Human plasma is one of the most popular samples as it is commonly collected in the clinic and provides noninvasive, rapid analysis for any type of disease including cancer. Many efforts have been applied in searching for “ideal” tumor markers, digging very deep into plasma proteomes. The situation in this area can be improved in two ways—by attempting to find an ideal single tumor marker or by generating panels of different markers. In both cases, proteomics certainly plays a major role. There is a line of evidence that the most abundant, so-called “classical plasma proteins”, may be used to generate a tumor biomarker profile. To be comprehensive these profiles should have information not only about protein levels but also proteoform distribution for each protein. Initially, the profile of these proteins in norm should be generated. In our work, we collected bibliographic information about the connection of cancers with levels of “classical plasma proteins”. Additionally, we presented the proteoform profiles (2DE patterns) of these proteins in norm generated by two-dimensional electrophoresis with mass spectrometry and immunodetection. As a next step, similar profiles representing protein perturbations in plasma produced in the case of different cancers will be generated. Additionally, based on this information, different test systems can be developed.
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Affiliation(s)
- Stanislav Naryzhny
- Institute of Biomedical Chemistry, Pogodinskaya, 10, 119121 Moscow, Russia
- Petersburg Institute of Nuclear Physics (PNPI) of National Research Center “Kurchatov Institute”, 188300 Gatchina, Russia
- Correspondence: ; Tel.: +7-911-176-4453
| | - Natalia Ronzhina
- Petersburg Institute of Nuclear Physics (PNPI) of National Research Center “Kurchatov Institute”, 188300 Gatchina, Russia
| | - Elena Zorina
- Institute of Biomedical Chemistry, Pogodinskaya, 10, 119121 Moscow, Russia
| | - Fedor Kabachenko
- Institute of Biomedical Systems and Biotechnology, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia
| | - Nikolay Klopov
- Petersburg Institute of Nuclear Physics (PNPI) of National Research Center “Kurchatov Institute”, 188300 Gatchina, Russia
| | - Victor Zgoda
- Institute of Biomedical Chemistry, Pogodinskaya, 10, 119121 Moscow, Russia
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3
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Giampazolias E, Schulz O, Lim KHJ, Rogers NC, Chakravarty P, Srinivasan N, Gordon O, Cardoso A, Buck MD, Poirier EZ, Canton J, Zelenay S, Sammicheli S, Moncaut N, Varsani-Brown S, Rosewell I, Reis e Sousa C. Secreted gelsolin inhibits DNGR-1-dependent cross-presentation and cancer immunity. Cell 2021; 184:4016-4031.e22. [PMID: 34081922 PMCID: PMC8320529 DOI: 10.1016/j.cell.2021.05.021] [Citation(s) in RCA: 61] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 03/24/2021] [Accepted: 05/17/2021] [Indexed: 12/30/2022]
Abstract
Cross-presentation of antigens from dead tumor cells by type 1 conventional dendritic cells (cDC1s) is thought to underlie priming of anti-cancer CD8+ T cells. cDC1 express high levels of DNGR-1 (a.k.a. CLEC9A), a receptor that binds to F-actin exposed by dead cell debris and promotes cross-presentation of associated antigens. Here, we show that secreted gelsolin (sGSN), an extracellular protein, decreases DNGR-1 binding to F-actin and cross-presentation of dead cell-associated antigens by cDC1s. Mice deficient in sGsn display increased DNGR-1-dependent resistance to transplantable tumors, especially ones expressing neoantigens associated with the actin cytoskeleton, and exhibit greater responsiveness to cancer immunotherapy. In human cancers, lower levels of intratumoral sGSN transcripts, as well as presence of mutations in proteins associated with the actin cytoskeleton, are associated with signatures of anti-cancer immunity and increased patient survival. Our results reveal a natural barrier to cross-presentation of cancer antigens that dampens anti-tumor CD8+ T cell responses.
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Affiliation(s)
- Evangelos Giampazolias
- Immunobiology Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Oliver Schulz
- Immunobiology Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Kok Haw Jonathan Lim
- Immunobiology Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK; Department of Immunology and Inflammation, Imperial College London, Du Cane Road, London W12 0NN, UK
| | - Neil C Rogers
- Immunobiology Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Probir Chakravarty
- Bioinformatics and Biostatistics, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Naren Srinivasan
- Immunobiology Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Oliver Gordon
- Immunobiology Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Ana Cardoso
- Immunobiology Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Michael D Buck
- Immunobiology Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Enzo Z Poirier
- Immunobiology Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Johnathan Canton
- Immunobiology Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Santiago Zelenay
- Immunobiology Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Stefano Sammicheli
- Immunobiology Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Natalia Moncaut
- Genetic Modification Services, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Sunita Varsani-Brown
- Genetic Modification Services, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Ian Rosewell
- Genetic Modification Services, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Caetano Reis e Sousa
- Immunobiology Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK.
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4
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Patel SK, George B, Rai V. Artificial Intelligence to Decode Cancer Mechanism: Beyond Patient Stratification for Precision Oncology. Front Pharmacol 2020; 11:1177. [PMID: 32903628 PMCID: PMC7438594 DOI: 10.3389/fphar.2020.01177] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Accepted: 07/20/2020] [Indexed: 12/13/2022] Open
Abstract
The multitude of multi-omics data generated cost-effectively using advanced high-throughput technologies has imposed challenging domain for research in Artificial Intelligence (AI). Data curation poses a significant challenge as different parameters, instruments, and sample preparations approaches are employed for generating these big data sets. AI could reduce the fuzziness and randomness in data handling and build a platform for the data ecosystem, and thus serve as the primary choice for data mining and big data analysis to make informed decisions. However, AI implication remains intricate for researchers/clinicians lacking specific training in computational tools and informatics. Cancer is a major cause of death worldwide, accounting for an estimated 9.6 million deaths in 2018. Certain cancers, such as pancreatic and gastric cancers, are detected only after they have reached their advanced stages with frequent relapses. Cancer is one of the most complex diseases affecting a range of organs with diverse disease progression mechanisms and the effectors ranging from gene-epigenetics to a wide array of metabolites. Hence a comprehensive study, including genomics, epi-genomics, transcriptomics, proteomics, and metabolomics, along with the medical/mass-spectrometry imaging, patient clinical history, treatments provided, genetics, and disease endemicity, is essential. Cancer Moonshot℠ Research Initiatives by NIH National Cancer Institute aims to collect as much information as possible from different regions of the world and make a cancer data repository. AI could play an immense role in (a) analysis of complex and heterogeneous data sets (multi-omics and/or inter-omics), (b) data integration to provide a holistic disease molecular mechanism, (c) identification of diagnostic and prognostic markers, and (d) monitor patient's response to drugs/treatments and recovery. AI enables precision disease management well beyond the prevalent disease stratification patterns, such as differential expression and supervised classification. This review highlights critical advances and challenges in omics data analysis, dealing with data variability from lab-to-lab, and data integration. We also describe methods used in data mining and AI methods to obtain robust results for precision medicine from "big" data. In the future, AI could be expanded to achieve ground-breaking progress in disease management.
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Affiliation(s)
- Sandip Kumar Patel
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, India
- Buck Institute for Research on Aging, Novato, CA, United States
| | - Bhawana George
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Vineeta Rai
- Department of Entomology & Plant Pathology, North Carolina State University, Raleigh, NC, United States
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5
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Asare-Werehene M, Communal L, Carmona E, Han Y, Song YS, Burger D, Mes-Masson AM, Tsang BK. Plasma Gelsolin Inhibits CD8 + T-cell Function and Regulates Glutathione Production to Confer Chemoresistance in Ovarian Cancer. Cancer Res 2020; 80:3959-3971. [PMID: 32641415 DOI: 10.1158/0008-5472.can-20-0788] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 04/28/2020] [Accepted: 07/01/2020] [Indexed: 11/16/2022]
Abstract
Although initial treatment of ovarian cancer is successful, tumors typically relapse and become resistant to treatment. Because of poor infiltration of effector T cells, patients are mostly unresponsive to immunotherapy. Plasma gelsolin (pGSN) is transported by exosomes (small extracellular vesicle, sEV) and plays a key role in ovarian cancer chemoresistance, yet little is known about its role in immunosurveillance. Here, we report the immunomodulatory roles of sEV-pGSN in ovarian cancer chemoresistance. In chemosensitive conditions, secretion of sEV-pGSN was low, allowing for optimal CD8+ T-cell function. This resulted in increased T-cell secretion of IFNγ, which reduced intracellular glutathione (GSH) production and sensitized chemosensitive cells to cis-diaminedichloroplatinum (CDDP)-induced apoptosis. In chemoresistant conditions, increased secretion of sEV-pGSN by ovarian cancer cells induced apoptosis in CD8+ T cells. IFNγ secretion was therefore reduced, resulting in high GSH production and resistance to CDDP-induced death in ovarian cancer cells. These findings support our hypothesis that sEV-pGSN attenuates immunosurveillance and regulates GSH biosynthesis, a phenomenon that contributes to chemoresistance in ovarian cancer. SIGNIFICANCE: These findings provide new insight into pGSN-mediated immune cell dysfunction in ovarian cancer chemoresistance and demonstrate how this dysfunction can be exploited to enhance immunotherapy.
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Affiliation(s)
- Meshach Asare-Werehene
- Department of Obstetrics & Gynecology, University of Ottawa, Ottawa, Ontario, Canada.,Chronic Disease Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Laudine Communal
- Centre de Recherche du CHUM et Institut du Cancer de Montréal, Département de Médecine, Université de Montréal, Montréal, Québec, Canada
| | - Euridice Carmona
- Centre de Recherche du CHUM et Institut du Cancer de Montréal, Département de Médecine, Université de Montréal, Montréal, Québec, Canada
| | - Youngjin Han
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.,Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Korea
| | - Yong Sang Song
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.,Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Korea
| | - Dylan Burger
- Chronic Disease Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.,Centre de Recherche du CHUM et Institut du Cancer de Montréal, Département de Médecine, Université de Montréal, Montréal, Québec, Canada
| | - Anne-Marie Mes-Masson
- Centre de Recherche du CHUM et Institut du Cancer de Montréal, Département de Médecine, Université de Montréal, Montréal, Québec, Canada
| | - Benjamin K Tsang
- Department of Obstetrics & Gynecology, University of Ottawa, Ottawa, Ontario, Canada. .,Chronic Disease Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.,Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Ontario, Canada.,Centre for Infection, Immunity and Inflammation, University of Ottawa, Ottawa, Ontario, Canada
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6
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Tavabe Ghavami TS, Irani S, Mirfakhrai R, Shirkoohi R. Differential expression of Scinderin and Gelsolin in gastric cancer and comparison with clinical and morphological characteristics. EXCLI JOURNAL 2020; 19:750-761. [PMID: 32636728 PMCID: PMC7332812 DOI: 10.17179/excli2020-1335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Accepted: 05/29/2020] [Indexed: 12/07/2022]
Abstract
Gastric cancer is the first cause of cancer-related death in males and the second in female patients in Iran. Advanced cancer is usually associated with distant metastasis, which is uncontrollable. This study was conducted to compare the expression of Scinderin and Gelsolin genes between gastric cancer and adjacent normal tissue samples in Iranian patients in order to better understand the role of these genes in this disease and to assess them as potential gastric cancer diagnostic or prognostic biomarkers. This case-control study was conducted in 41 Iranian patients suffering from stage I to IV of Gastric Cancer diagnosed by pathologic and endoscopic tests. In this study, significant down-regulation of Gelsolin (p=0.001) and over-expression of Scinderin (p=0.001) were observed in tumor tissues compared to the adjacent normal tissues. The results of the present study showed decreased Gelsolin expression in patients above 40 years, while the relationship between Gelsolin expression and age was not significant; also, a significant increase was observed in Scinderin expression in patients above 40 years. Furthermore, Lymph node metastasis was observed in 59.52 % of the cases. The results showed that reduced Gelsolin and increased Scinderin expression were related to lymph node metastasis. Based on results, a significant association was observed between tumor size and Scinderin expression level. Furthermore, Gelsolin and Scinderin expressions were assessed in different grades and stages to determine the association of this gene with cancer progression. The result indicates significant alteration in Scinderin expression level of I and IV, II and IV, and III and IV stages. Although no significant association was observed between Scinderin expression level and GC grade, the mean Gelsolin expression showed a significant difference between grade II and III as well as grade I and IV. Based on our results, these genes would be potential biomarkers.
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Affiliation(s)
| | - Shiva Irani
- Department of Biology, Islamic Azad University, Tehran, Iran
| | - Reza Mirfakhrai
- Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Reza Shirkoohi
- Cancer Research Institute, Tehran University of Medical Sciences, Tehran, Iran
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7
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The exosome-mediated autocrine and paracrine actions of plasma gelsolin in ovarian cancer chemoresistance. Oncogene 2019; 39:1600-1616. [PMID: 31700155 PMCID: PMC7018662 DOI: 10.1038/s41388-019-1087-9] [Citation(s) in RCA: 86] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Revised: 10/22/2019] [Accepted: 10/25/2019] [Indexed: 02/06/2023]
Abstract
Ovarian cancer (OVCA) is the most lethal gynecological cancer, due predominantly to late presentation, high recurrence rate and common chemoresistance development. The expression of the actin-associated protein cytosolic gelsolin (GSN) regulates the gynecological cancer cell fate resulting in dysregulation in chemosensitivity. In this study, we report that elevated expression of plasma gelsolin (pGSN), a secreted isoform of GSN and expressed from the same GSN gene, correlates with poorer overall survival and relapse-free survival in patients with OVCA. In addition, it is highly expressed and secreted in chemoresistant OVCA cells than its chemosensitive counterparts. pGSN, secreted and transported via exosomes (Ex-pGSN), upregulates HIF1α–mediated pGSN expression in chemoresistant OVCA cells in an autocrine manner as well as confers cisplatin resistance in otherwise chemosensitive OVCA cells. These findings support our hypothesis that exosomal pGSN promotes OVCA cell survival through both autocrine and paracrine mechanisms that transform chemosensitive cells to resistant counterparts. Specifically, pGSN transported via exosomes is a determinant of chemoresistance in OVCA.
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Pre-operative Circulating Plasma Gelsolin Predicts Residual Disease and Detects Early Stage Ovarian Cancer. Sci Rep 2019; 9:13924. [PMID: 31558772 PMCID: PMC6763481 DOI: 10.1038/s41598-019-50436-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Accepted: 09/10/2019] [Indexed: 12/16/2022] Open
Abstract
Ovarian cancer (OVCA) patients with suboptimal residual disease (RD) and advanced stages have poor survival. pGSN is an actin binding protein which protects OVCA cells from cisplatin-induced death. There is an urgent need to discover reliable biomarkers to optimize individualized treatment recommendations. 99 plasma samples with pre-determined CA125 were collected from OVCA patients and pGSN assayed using sandwich-based ELISA. Associations between CA125, pGSN and clinicopathological parameters were examined using Fisher’s exact test, T test and Kruskal Wallis Test. Univariate and multivariate Cox proportional hazard models were used to statistically analyze clinical outcomes. At 64 µg/ml, pGSN had sensitivity and specificity of 60% and 60% respectively, for the prediction of RD where as that of CA125 at 576.5 U/mL was 43.5% and 56.5% respectively. Patients with stage 1 tumor had increased levels of pre-operative pGSN compared to those with tumor stage >1 and healthy subjects (P = 0.005). At the value of 81 µg/mL, pGSN had a sensitivity and specificity of 75% and 78.4%, respectively for the detection of early stage OVCA. At the value of 0.133, the Indicator of Stage 1 OVCA (ISO1) provided a sensitivity of 100% at a specificity of 67% (AUC, 0.89; P < 0.001). In the multivariate Cox regression analysis, pGSN (HR, 2.00; CI, 0.99–4.05; P = 0.05) was an independent significant predictor of progression free survival (PFS) but not CA125 (HR, 0.68; CI, 0.41–1.13; P = 0.13). Pre-operative circulating pGSN is a favorable and independent biomarker for early disease detection, RD prediction and patients’ prognosis.
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9
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Plasma Gelsolin: Indicator of Inflammation and Its Potential as a Diagnostic Tool and Therapeutic Target. Int J Mol Sci 2018; 19:ijms19092516. [PMID: 30149613 PMCID: PMC6164782 DOI: 10.3390/ijms19092516] [Citation(s) in RCA: 86] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Revised: 08/14/2018] [Accepted: 08/18/2018] [Indexed: 12/19/2022] Open
Abstract
Gelsolin, an actin-depolymerizing protein expressed both in extracellular fluids and in the cytoplasm of a majority of human cells, has been recently implicated in a variety of both physiological and pathological processes. Its extracellular isoform, called plasma gelsolin (pGSN), is present in blood, cerebrospinal fluid, milk, urine, and other extracellular fluids. This isoform has been recognized as a potential biomarker of inflammatory-associated medical conditions, allowing for the prediction of illness severity, recovery, efficacy of treatment, and clinical outcome. A compelling number of animal studies also demonstrate a broad spectrum of beneficial effects mediated by gelsolin, suggesting therapeutic utility for extracellular recombinant gelsolin. In the review, we summarize the current data related to the potential of pGSN as an inflammatory predictor and therapeutic target, discuss gelsolin-mediated mechanisms of action, and highlight recent progress in the clinical use of pGSN.
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10
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Ćetković H, Harcet M, Roller M, Bosnar MH. A survey of metastasis suppressors in Metazoa. J Transl Med 2018; 98:554-570. [PMID: 29453400 DOI: 10.1038/s41374-018-0024-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2017] [Revised: 01/04/2018] [Accepted: 01/18/2018] [Indexed: 01/29/2023] Open
Abstract
Metastasis suppressors are genes/proteins involved in regulation of one or more steps of the metastatic cascade while having little or no effect on tumor growth. The list of putative metastasis suppressors is constantly increasing although thorough understanding of their biochemical mechanism(s) and evolutionary history is still lacking. Little is known about tumor-related genes in invertebrates, especially non-bilaterians and unicellular relatives of animals. However, in the last few years we have been witnessing a growing interest in this subject since it has been shown that many disease-related genes are already present in simple non-bilateral animals and even in their unicellular relatives. Studying human diseases using simpler organisms that may better represent the ancestral conditions in which the specific disease-related genes appeared could provide better understanding of how those genes function. This review represents a compilation of published literature and our bioinformatics analysis to gain a general insight into the evolutionary history of metastasis-suppressor genes in animals (Metazoa). Our survey suggests that metastasis-suppressor genes emerged in three different periods in the evolution of Metazoa: before the origin of metazoans, with the emergence of first animals and at the origin of vertebrates.
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Affiliation(s)
- Helena Ćetković
- Laboratory for Molecular Genetics, Division of Molecular Biology, Ruđer Bošković Institute, Bijenička 54, Zagreb, Croatia
| | - Matija Harcet
- Laboratory for Molecular Genetics, Division of Molecular Biology, Ruđer Bošković Institute, Bijenička 54, Zagreb, Croatia
| | - Maša Roller
- Division of Molecular Biology, Department of Biology, Faculty of Science, University of Zagreb, Horvatovac 102A, Zagreb, Croatia
| | - Maja Herak Bosnar
- Laboratory for Protein Dynamics, Division of Molecular Medicine, Ruđer Bošković Institute, Bijenička 54, Zagreb, Croatia.
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11
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Cheng C, Chang C, Patria YN, Chang R, Liu Y, Li F, Shih H, Lin C. Sex hormone-binding globulin (SHBG) is a potential early diagnostic biomarker for gastric cancer. Cancer Med 2018; 7:64-74. [PMID: 29148252 PMCID: PMC5773940 DOI: 10.1002/cam4.1254] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2017] [Revised: 09/15/2017] [Accepted: 10/13/2017] [Indexed: 12/11/2022] Open
Abstract
The use of blood plasma biomarkers in gastric cancer (GC) management is limited due to a lack of reliable biomarkers. An LC-MS/MS assay and a bioinformatic analysis were performed to identify blood plasma biomarkers in a GC discovery cohort. The data obtained were verified and validated by western blotting and an ELISA in an independent study cohort. A label-free quantification analysis of the MS data using PEAKS7 software found that four plasma proteins of apolipoprotein C-1, gelsolin, sex hormone-binding globulin (SHBG), and complement component C4-A were significantly overexpressed in GC patients. A western blot assay of these plasma proteins showed that only SHBG was consistently overexpressed in the patient group. ELISA measurement of SHBG blood plasma levels confirmed that the patient group had significantly higher SHBG levels than the control group. SHBG levels in the patient group remained significantly higher after being stratified by gender, age, and disease stage. These findings show that LC-MS/MS is powerful and highly sensitive for plasma biomarker discovery, and SHBG could be a potential plasma biomarker for GC management.
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Affiliation(s)
- Chao‐Wen Cheng
- Graduate Institute of Clinical MedicineCollege of MedicineTaipei Medical UniversityTaipei11031Taiwan
| | - Che‐Chang Chang
- Graduate Institute of Translational MedicineCollege of Medical Science and TechnologyTaipei Medical UniversityTaipei11031Taiwan
- Ph.D Program in Biotechnology Research and DevelopmentCollege of PharmacyTaipei Medical UniversityTaipei11031Taiwan
- Traditional Herbal Medicine Research Center of Taipei Medical University HospitalTaipei11031Taiwan
| | - Yudha Nur Patria
- Graduate Institute of Clinical MedicineCollege of MedicineTaipei Medical UniversityTaipei11031Taiwan
- Department of PediatricsFaculty of MedicineUniversitas Gadjah Mada/Sardjito HospitalYogyakarta55281Indonesia
| | - Ruei‐Ting Chang
- Graduate Institute of Translational MedicineCollege of Medical Science and TechnologyTaipei Medical UniversityTaipei11031Taiwan
| | - Yun‐Ru Liu
- Joint BiobankOffice of Human ResearchTaipei Medical UniversityTaipei11031Taiwan
| | - Fu‐An Li
- Institute of Biomedical SciencesAcademia SinicaTaipei11529Taiwan
| | - Hsiu‐Ming Shih
- Graduate Institute of Translational MedicineCollege of Medical Science and TechnologyTaipei Medical UniversityTaipei11031Taiwan
- Institute of Biomedical SciencesAcademia SinicaTaipei11529Taiwan
| | - Ching‐Yu Lin
- School of Medical Laboratory Science and BiotechnologyCollege of Medical Science and TechnologyTaipei Medical UniversityTaipei11031Taiwan
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12
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Global Proteomics-based Identification and Validation of Thymosin Beta-4 X-Linked as a Prognostic Marker for Head and Neck Squamous Cell Carcinoma. Sci Rep 2017; 7:9031. [PMID: 28831179 PMCID: PMC5567379 DOI: 10.1038/s41598-017-09539-w] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2016] [Accepted: 07/26/2017] [Indexed: 12/14/2022] Open
Abstract
Head and neck squamous cell carcinoma (HNSCC) represents a major health concern worldwide. We applied the matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry (IMS) to analyze paired normal (N) and tumor (T) samples from head and neck squamous cell carcinoma as well as liquid chromatography with tandem mass spectrometry (LC-MS/MS) analysis in HNSCC cell lines to identify tumor-associated biomarkers. Our results showed a number of proteins found to be over-expressed in HNSCC. We identified thymosin beta-4 X-linked (TMSB4X) is one of the most significant candidate biomarkers. Higher TMSB4X expression in the tumor was found by N/T-paired HNSCC samples at both RNA and protein level. Overexpression of TMSB4X was found significantly associated with poor prognosis of overall survival (OS, P = 0.006) and recurrence-free survival (RFS, P = 0.013) in HNSCC patients. Silencing of TMSB4X expression in HNSCC cell line reduced the proliferation and invasion ability in vitro, as well as inhibited the cervical lymph node metastasis in vivo. Altogether, our global proteomics analysis identified that TMSB4X is a newly discovered biomarker in HNSCC whose functions resulted in enhanced proliferation and metastasis in vitro and in vivo. TMSB4X may be a potential therapeutic target for treating HNSCC patients.
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Zhang L, Han C, Ye F, He Y, Jin Y, Wang T, Wu Y, Jiang Y, Zhang F, Jin X. Plasma Gelsolin Induced Glomerular Fibrosis via the TGF-β1/Smads Signal Transduction Pathway in IgA Nephropathy. Int J Mol Sci 2017; 18:ijms18020390. [PMID: 28208683 PMCID: PMC5343925 DOI: 10.3390/ijms18020390] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2017] [Revised: 01/29/2017] [Accepted: 02/08/2017] [Indexed: 11/16/2022] Open
Abstract
Glomerular fibrosis has been shown to be closely related to the progression and prognosis of IgA nephropathy (IgAN). However, mechanism underlying IgAN glomerular fibrosis remains unclear. Recently, our study showed that plasma gelsolin (pGSN) was decreased in the serum of an IgAN mouse model and that pGSN deposition was found in the glomeruli. Another cytokine, TGF-β1, which is closely related to glomerular fibrosis, was also found to be highly expressed in the glomeruli. In the present study, we report that pGSN induces glomerular fibrosis through the TGF-β1/Smads signal transduction pathway. This is supported by the following findings: human mesangial cells (HMCs) show remarkable morphological changes and proliferation in response to co-stimulation with pGSN and polymeric IgA1 (pIgA1) from IgAN patients compared to other controls. Moreover, ELISA assays showed that more TGF-β1 secretion was found in HMCs supernatants in the co-stimulation group. Further experiments showed increased TGF-β1, Smad3, p-Smad2/3, Smad4, and collagen 1 and decreased Smad7 expression in the co-stimulation group. Our present study implied that the synergistic effect of pGSN and pIgA induced glomerular fibrosis via the TGF-β1/Smads signal transduction pathway. This might be a potential mechanism for the glomerular fibrosis observed in IgAN patients.
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Affiliation(s)
- Lei Zhang
- Department of Pathology, Harbin Medical University, Harbin 150081, China.
| | - Changsong Han
- Department of Pathology, Harbin Medical University, Harbin 150081, China.
| | - Fei Ye
- Department of Pathology, Harbin Medical University, Harbin 150081, China.
| | - Yan He
- Department of Pathology, Harbin Medical University, Harbin 150081, China.
| | - Yinji Jin
- Department of Pathology, Harbin Medical University, Harbin 150081, China.
| | - Tianzhen Wang
- Department of Pathology, Harbin Medical University, Harbin 150081, China.
| | - Yiqi Wu
- Department of Pathology, Harbin Medical University, Harbin 150081, China.
| | - Yang Jiang
- Department of Pathology, Harbin Medical University, Harbin 150081, China.
| | - Fengmin Zhang
- Department of Microbiology, Harbin Medical University, Harbin 150081, China.
| | - Xiaoming Jin
- Department of Pathology, Harbin Medical University, Harbin 150081, China.
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14
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Ma H, Chen G, Guo M. Mass spectrometry based translational proteomics for biomarker discovery and application in colorectal cancer. Proteomics Clin Appl 2016; 10:503-15. [PMID: 26616366 DOI: 10.1002/prca.201500082] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2015] [Revised: 11/17/2015] [Accepted: 11/25/2015] [Indexed: 12/29/2022]
Abstract
Colorectal cancer (CRC) is a leading cause of cancer-related death in the world. Clinically, early detection of the disease is the most effective approach to tackle this tough challenge. Discovery and development of reliable and effective diagnostic tools for the assessment of prognosis and prediction of response to drug therapy are urgently needed for personalized therapies and better treatment outcomes. Among many ongoing efforts in search for potential CRC biomarkers, MS-based translational proteomics provides a unique opportunity for the discovery and application of protein biomarkers toward better CRC early detection and treatment. This review updates most recent studies that use preclinical models and clinical materials for the identification of CRC-related protein markers. Some new advances in the development of CRC protein markers such as CRC stem cell related protein markers, SRM/MRM-MS and MS cytometry approaches are also discussed in order to address future directions and challenges from bench translational research to bedside clinical application of CRC biomarkers.
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Affiliation(s)
- Hong Ma
- Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Sino-Africa Joint Research Center, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, P. R. China.,Haematology and Oncology Division, Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - Guilin Chen
- Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Sino-Africa Joint Research Center, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, P. R. China.,University of Chinese Academy of Sciences, Beijing, P. R. China
| | - Mingquan Guo
- Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Sino-Africa Joint Research Center, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, P. R. China
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15
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Norris L, Malkar A, Horner-Glister E, Hakimi A, Ng LL, Gescher AJ, Creaser C, Sale S, Jones DJL. Search for novel circulating cancer chemopreventive biomarkers of dietary rice bran intervention in ApcMin
mice model of colorectal carcinogenesis, using proteomic and metabolic profiling strategies. Mol Nutr Food Res 2015; 59:1827-36. [DOI: 10.1002/mnfr.201400818] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2014] [Revised: 04/30/2015] [Accepted: 05/05/2015] [Indexed: 12/19/2022]
Affiliation(s)
- Leonie Norris
- Department of Cancer Studies and Molecular Medicine; Leicester Royal Infirmary; University of Leicester; Leicester UK
| | - Aditya Malkar
- Centre for Analytical Science; Department of Chemistry; Loughborough University; Loughborough Leicestershire UK
| | - Emma Horner-Glister
- Department of Cancer Studies and Molecular Medicine; Leicester Royal Infirmary; University of Leicester; Leicester UK
| | - Amirmansoor Hakimi
- Department of Cancer Studies and Molecular Medicine; Leicester Royal Infirmary; University of Leicester; Leicester UK
| | - Leong L. Ng
- Department of Cardiovascular Sciences, NIHR Leicester Cardiovascular Biomedical Research Unit; Glenfield Hospital; Leicester UK
| | - Andreas J. Gescher
- Department of Cancer Studies and Molecular Medicine; Leicester Royal Infirmary; University of Leicester; Leicester UK
| | - Colin Creaser
- Department of Cancer Studies and Molecular Medicine; Leicester Royal Infirmary; University of Leicester; Leicester UK
| | - Stewart Sale
- Department of Cancer Studies and Molecular Medicine; Leicester Royal Infirmary; University of Leicester; Leicester UK
| | - Donald J. L. Jones
- Department of Cancer Studies and Molecular Medicine; Leicester Royal Infirmary; University of Leicester; Leicester UK
- Department of Cardiovascular Sciences, NIHR Leicester Cardiovascular Biomedical Research Unit; Glenfield Hospital; Leicester UK
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16
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Chai YD, Zhang L, Yang Y, Su T, Charugundla P, Ai J, Messadi D, Wong DT, Hu S. Discovery of potential serum protein biomarkers for lymph node metastasis in oral cancer. Head Neck 2015; 38:118-25. [PMID: 25223295 DOI: 10.1002/hed.23870] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/12/2014] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The purpose of our study was to identify serum protein biomarkers for node-positive oral squamous cell carcinoma (OSCC). Biomarkers indicating lymph node metastasis provides a valuable classification methodology to optimize treatment plans for patients with OSCC. METHODS Quantitative serum proteomic analysis of OSCCs with either node-positive or node-negative disease was performed with tandem mass spectrometry and isobaric tagging for relative and absolute quantitation (iTRAQ). Immunoassays were used to validate a panel of candidate protein biomarkers and receiver operating characteristic (ROC) analysis was used to evaluate the performance of the candidate biomarkers. RESULTS A total of 282 serum proteins were quantified between node-positive and node-negative OSCCs with the proteomic approach. Four candidate biomarkers, gelsolin, fibronectin, angiotensinogen, and haptoglobin, were validated in an independent group of patients with node-positive or node-negative OSCC. The best candidate biomarker, gelsolin, yielded a ROC value of 89% for node-positive OSCC, although the sample size for validation is relatively small. Fibronectin, gelsolin, and angiotensinogen were also found to be differentially expressed between cancer cell lines of node-positive and node-negative cancer origin. CONCLUSION Our studies suggest that testing of serum protein biomarkers might help detect lymph node metastasis of oral cancer. Because of limited sample size in our studies, long-term longitudinal studies with large populations of individuals with oral cancer are needed to validate these potential biomarkers.
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Affiliation(s)
- Yang D Chai
- School of Dentistry, University of California-Los Angeles, Los Angeles, California
| | - Lifeng Zhang
- School of Dentistry, University of California-Los Angeles, Los Angeles, California
| | - Yan Yang
- School of Dentistry, University of California-Los Angeles, Los Angeles, California
| | - Trent Su
- School of Dentistry, University of California-Los Angeles, Los Angeles, California
| | - Prashant Charugundla
- School of Dentistry, University of California-Los Angeles, Los Angeles, California
| | - Jiye Ai
- School of Dentistry, University of California-Los Angeles, Los Angeles, California
| | - Diana Messadi
- School of Dentistry, University of California-Los Angeles, Los Angeles, California.,Jonsson Comprehensive Cancer Center, School of Dentistry, University of California-Los Angeles, Los Angeles, California
| | - David T Wong
- School of Dentistry, University of California-Los Angeles, Los Angeles, California.,Jonsson Comprehensive Cancer Center, School of Dentistry, University of California-Los Angeles, Los Angeles, California
| | - Shen Hu
- School of Dentistry, University of California-Los Angeles, Los Angeles, California.,Jonsson Comprehensive Cancer Center, School of Dentistry, University of California-Los Angeles, Los Angeles, California
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17
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Reumer A, Maes E, Mertens I, Cho WCS, Landuyt B, Valkenborg D, Schoofs L, Baggerman G. Colorectal cancer biomarker discovery and validation using LC-MS/MS-based proteomics in blood: truth or dare? Expert Rev Proteomics 2014; 11:449-463. [PMID: 24702250 DOI: 10.1586/14789450.2014.905743] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
Globally, colorectal cancer (CRC) is the third most common malignant neoplasm. However, highly sensitive, specific, noninvasive tests that allow CRC diagnosis at an early stage are still needed. As circulatory blood reflects the physiological status of an individual and/or the disease status for several disorders, efforts have been undertaken to identify candidate diagnostic CRC markers in plasma and serum. In this review, the challenges, bottlenecks and promising properties of mass spectrometry (MS)-based proteomics in blood are discussed. More specifically, important aspects in clinical design, sample retrieval, sample preparation, and MS analysis are presented. The recent developments in targeted MS approaches in plasma or serum are highlighted as well.
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Affiliation(s)
- Ank Reumer
- KU Leuven, Animal Physiology and Neurobiology Section, Naamsestraat 59, BE-3000 Leuven, Belgium
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18
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Choi YJ, Kim SW, Yoon JH, Choi BH, Kim TH, Kim KS. Identification of genomic regions associated with piglet survival and mortality. J Biomed Res 2014. [DOI: 10.12729/jbr.2014.15.2.078] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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19
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Wang K, Huang C, Nice EC. Proteomics, genomics and transcriptomics: their emerging roles in the discovery and validation of colorectal cancer biomarkers. Expert Rev Proteomics 2014; 11:179-205. [PMID: 24611605 DOI: 10.1586/14789450.2014.894466] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Colorectal cancer (CRC) is the second most common cancer in females and the third in males. Since CRC is often diagnosed at an advanced stage when prognosis is poor, identification of biomarkers for early diagnosis is urgently required. Recent advances in proteomics, genomics and transcriptomics have facilitated high-throughput profiling of data generated from CRC-related genes and proteins, providing a window of information for biomarker discovery and validation. However, transfer of candidate biomarkers from bench to bedside remains a dilemma. In this review, we will discuss emerging proteomic technologies and highlight various sample types utilized for proteomics-based identification of CRC biomarkers. Moreover, recent breakthroughs in genomics and transcriptomics for the identification of CRC biomarkers, with particular emphasis on the merits of emerging methylomic and miRNAomic strategies, will be discussed. Integration of proteomics, genomics and transcriptomics will facilitate the discovery and validation of CRC biomarkers leading to the emergence of personalized medicine.
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Affiliation(s)
- Kui Wang
- The State Key Laboratory of Biotherapy, West China Hospital, Sichuan University , Chengdu, 610041 , P.R. China
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20
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Hu Y, Li H, Li WH, Meng HX, Fan YZ, Li WJ, Ji YT, Zhao H, Zhang L, Jin XM, Zhang FM. The value of decreased plasma gelsolin levels in patients with systemic lupus erythematosus and rheumatoid arthritis in diagnosis and disease activity evaluation. Lupus 2013; 22:1455-61. [PMID: 24122723 DOI: 10.1177/0961203313507985] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Plasma gelsolin, the extracellular gelsolin isoform, circulates in the blood of healthy individuals at a concentration of 200 ± 50 mg/l and plays important roles in the extracellular actin-scavenging system during tissue damage. Decreased plasma gelsolin levels have been observed in many inflammatory diseases. In the present study, the variation and potential clinical application of plasma gelsolin levels in patients with systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA) were analysed. Plasma samples and clinical data were collected from informed and consenting participants: 47 SLE patients, 60 RA patients and 50 age- and gender-matched healthy individuals. Semiquantitative western blotting was used for measuring plasma gelsolin levels. The plasma gelsolin levels in patients with SLE and RA were significantly decreased compared with healthy controls (145.3 ± 40.4 versus 182.7 ± 38.3 mg/l and 100.8 ± 36 versus 182.7 ± 38.3 mg/l, p < 0.001), and plasma gelsolin levels were especially lower in RA than in SLE patients (100.8 ± 36 versus 145.3 ± 40.4 mg/L, p < 0.001). An analysis of the clinical data showed a significant negative correlation between plasma gelsolin levels and SLE Disease Activity Index (SLEDAI) scores (r = 0.659, p < 0.001) but no correlation between plasma gelsolin levels and RA disease activity score 28 (DAS28) (r = 0.076, p = 0.569). Different clinical characteristics were also observed in SLE and RA patients with normal and decreased plasma gelsolin levels.This study found significantly lower plasma gelsolin levels in patients with SLE and RA compared with healthy controls and documented a significant negative correlation between plasma gelsolin levels and SLEDAI, which suggested the potential clinical application of plasma gelsolin in SLE diagnosis and disease activity evaluation. The different clinical characteristics in SLE and RA patients with normal and decreased plasma gelsolin levels indicate differences in the basis of the diseases.
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Affiliation(s)
- Yl Hu
- 1Department of Microbiology, Harbin Medical University, China
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21
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Choi JW, Liu H, Shin DH, Yu GI, Hwang JS, Kim ES, Yun JW. Proteomic and cytokine plasma biomarkers for predicting progression from colorectal adenoma to carcinoma in human patients. Proteomics 2013; 13:2361-74. [PMID: 23606366 DOI: 10.1002/pmic.201200550] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2012] [Revised: 03/28/2013] [Accepted: 03/30/2013] [Indexed: 12/12/2022]
Abstract
In the present study, we screened proteomic and cytokine biomarkers between patients with adenomatous polyps and colorectal cancer (CRC) in order to improve our understanding of the molecular mechanisms behind turmorigenesis and tumor progression in CRC. To this end, we performed comparative proteomic analysis of plasma proteins using a combination of 2DE and MS as well as profiled differentially regulated cytokines and chemokines by multiplex bead analysis. Proteomic analysis identified 11 upregulated and 13 downregulated plasma proteins showing significantly different regulation patterns with diagnostic potential for predicting progression from adenoma to carcinoma. Some of these proteins have not previously been implicated in CRC, including upregulated leucine-rich α-2-glycoprotein, hemoglobin subunit β, Ig α-2 chain C region, and complement factor B as well as downregulated afamin, zinc-α-2-glycoprotein, vitronectin, and α-1-antichymotrypsin. In addition, plasma levels of three cytokines/chemokines, including interleukin-8, interferon gamma-induced protein 10, and tumor necrosis factor α, were remarkably elevated in patients with CRC compared to those with adenomatous polyps. Although further clinical validation is required, these proteins and cytokines can be established as novel biomarkers for CRC and/or its progression from colon adenoma.
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Affiliation(s)
- Jung-Won Choi
- Department of Biotechnology, Daegu University, Kyungsan, Republic of Korea
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de Wit M, Fijneman RJ, Verheul HM, Meijer GA, Jimenez CR. Proteomics in colorectal cancer translational research: Biomarker discovery for clinical applications. Clin Biochem 2013; 46:466-79. [DOI: 10.1016/j.clinbiochem.2012.10.039] [Citation(s) in RCA: 71] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2012] [Revised: 10/30/2012] [Accepted: 10/31/2012] [Indexed: 12/22/2022]
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Wang C, Jiang K, Kang X, Gao D, Sun C, Li Y, Sun L, Zhang S, Liu X, Wu W, Yang P, Guo K, Liu Y. Tumor-derived secretory clusterin induces epithelial-mesenchymal transition and facilitates hepatocellular carcinoma metastasis. Int J Biochem Cell Biol 2012; 44:2308-20. [PMID: 23010347 DOI: 10.1016/j.biocel.2012.09.012] [Citation(s) in RCA: 64] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2012] [Revised: 09/11/2012] [Accepted: 09/14/2012] [Indexed: 01/08/2023]
Abstract
Hepatocellular carcinoma (HCC) is the third most common cause of cancer mortality. Metastasis is the major concern that causes death in HCC. The goal of this study was to identify tumor-derived proteins in serum during HCC metastasis using an orthotopic xenograft tumor model and explore the role of key protein in HCC metastasis. Serum samples collected from HCCLM3-R metastatic HCC tumor model at specific stages of metastasis (1 wk, 3 wks and 6 wks) were subjected to iTRAQ labeling followed by 2DLC-ESI-MS/MS analysis. Twenty tumor-derived proteins were identified through human specific peptides. Secretory clusterin (sCLU), which was significantly upregulated during cancer progression and metastasis, was chosen for further study. The expression of sCLU was significantly higher in metastatic HCC cell lines and samples from metastatic HCC patients. ShRNA-mediated down-regulation of sCLU resulted in a reduced migratory capacity in HCC cell lines, as well as a reduction in pulmonary metastasis in vivo. Overexpression of sCLU in HepG2 cell line showed increased cell migratory ability. Further study found that sCLU contributed to HCC migration and epithelial-mesenchymal transition (EMT) in vitro, and metastasis in vivo. In addition, sCLU also plays an important role in the regulation of TGF-β1-smad3 signaling. These findings suggest that sCLU may promote HCC metastasis via the induction of EMT process and may be a candidate target for HCC therapy.
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Affiliation(s)
- Cun Wang
- Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China
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