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Mallardo D, Fordellone M, White A, Vowinckel J, Bailey M, Sparano F, Sorrentino A, Mallardo M, Facchini BA, De Filippi R, Ferrara G, Vanella V, Beeler K, Chiodini P, Cesano A, Warren S, Ascierto PA. A Combined Proteomic and Transcriptomic Signature Is Predictive of Response to Anti-PD-1 Treatment: A Retrospective Study in Metastatic Melanoma Patients. Int J Mol Sci 2024; 25:9345. [PMID: 39273294 PMCID: PMC11395026 DOI: 10.3390/ijms25179345] [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: 07/23/2024] [Revised: 08/23/2024] [Accepted: 08/24/2024] [Indexed: 09/15/2024] Open
Abstract
Resistance biomarkers are needed to identify patients with advanced melanoma obtaining a response to ICI treatment and developing resistance later. We searched a combination of molecular signatures of response to ICIs in patients with metastatic melanoma. In a retrospective study on patients with metastatic melanoma treated with an anti-PD-1 agent carried out at Istituto Nazionale Tumori-IRCCS-Fondazione "G. Pascale", Naples, Italy. We integrated a whole proteome profiling of metastatic tissue with targeted transcriptomics. To assess the prognosis of patients according to groups of low and high risk, we used PFS and OS as outcomes. To identify the proteins and mRNAs gene signatures associated with the patient's response groups, the discriminant analysis for sparse data performed via partial least squares procedure was performed. Tissue samples from 22 patients were analyzed. A combined protein and gene signature associated with poorer response to ICI immunotherapy in terms of PFS and OS was identified. The PFS and OS Kaplan-Meier curves were significantly better for patients with high expression of the protein signature compared to patients with low expression of the protein signature and who were high-risk (Protein: HR = 0.023, 95% CI: 0.003-0.213; p < 0.0001. Gene: HR = 0.053, 95% CI: 0.011-0.260; p < 0.0001). The Kaplan-Meier curves showed that patients with low-risk gene signatures had better PFS (HR = 0 0.221, 95% CI: 0.071-0.68; p = 0.007) and OS (HR = 0.186, 95% CI: 0.05-0.695; p = 0.005). The proteomic and transcriptomic combined analysis was significantly associated with the outcomes of the anti-PD-1 treatment with a better predictive value compared to a single signature. All the patients with low expression of protein and gene signatures had progression within 6 months of treatment (median PFS = 3 months, 95% CI: 2-3), with a significant difference vs. the low-risk group (median PFS = not reached; p < 0.0001), and significantly poorer survival (OS = 9 months, 95% CI: 5-9) compared to patients with high expression of protein and gene signatures (median OS = not reached; p < 0.0001). We propose a combined proteomic and transcriptomic signature, including genes involved in pro-tumorigenic pathways, thereby identifying patients with reduced probability of response to immunotherapy with ICIs for metastatic melanoma.
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Affiliation(s)
- Domenico Mallardo
- Department of Melanoma, Cancer Immunotherapy and Development Therapeutics, Istituto Nazionale Tumori—IRCCS Fondazione “G. Pascale”, 80131 Napoli, Italy; (D.M.); (F.S.); (A.S.); (M.M.); (B.A.F.); (V.V.)
| | - Mario Fordellone
- Mental and Physical Health and Preventive Medicine, Medical Statistics Unit, University of Campania “Luigi Vanvitelli”, 81100 Naples, Italy; (M.F.); (P.C.)
| | - Andrew White
- NanoString Technologies, Seattle, WA 98109, USA; (A.W.); (M.B.); (A.C.); (S.W.)
| | | | - Michael Bailey
- NanoString Technologies, Seattle, WA 98109, USA; (A.W.); (M.B.); (A.C.); (S.W.)
| | - Francesca Sparano
- Department of Melanoma, Cancer Immunotherapy and Development Therapeutics, Istituto Nazionale Tumori—IRCCS Fondazione “G. Pascale”, 80131 Napoli, Italy; (D.M.); (F.S.); (A.S.); (M.M.); (B.A.F.); (V.V.)
| | - Antonio Sorrentino
- Department of Melanoma, Cancer Immunotherapy and Development Therapeutics, Istituto Nazionale Tumori—IRCCS Fondazione “G. Pascale”, 80131 Napoli, Italy; (D.M.); (F.S.); (A.S.); (M.M.); (B.A.F.); (V.V.)
| | - Mario Mallardo
- Department of Melanoma, Cancer Immunotherapy and Development Therapeutics, Istituto Nazionale Tumori—IRCCS Fondazione “G. Pascale”, 80131 Napoli, Italy; (D.M.); (F.S.); (A.S.); (M.M.); (B.A.F.); (V.V.)
| | - Bianca Arianna Facchini
- Department of Melanoma, Cancer Immunotherapy and Development Therapeutics, Istituto Nazionale Tumori—IRCCS Fondazione “G. Pascale”, 80131 Napoli, Italy; (D.M.); (F.S.); (A.S.); (M.M.); (B.A.F.); (V.V.)
| | - Rosaria De Filippi
- Department of Clinical Medicine and Surgery, Università degli Studi di Napoli Federico II, 80138 Naples, Italy;
| | - Gerardo Ferrara
- Department of Pathology and Cytopathology, Istituto Nazionale Tumori IRCCS Fondazione “G. Pascale”, 80131 Napoli, Italy;
| | - Vito Vanella
- Department of Melanoma, Cancer Immunotherapy and Development Therapeutics, Istituto Nazionale Tumori—IRCCS Fondazione “G. Pascale”, 80131 Napoli, Italy; (D.M.); (F.S.); (A.S.); (M.M.); (B.A.F.); (V.V.)
| | | | - Paolo Chiodini
- Mental and Physical Health and Preventive Medicine, Medical Statistics Unit, University of Campania “Luigi Vanvitelli”, 81100 Naples, Italy; (M.F.); (P.C.)
| | - Alessandra Cesano
- NanoString Technologies, Seattle, WA 98109, USA; (A.W.); (M.B.); (A.C.); (S.W.)
| | - Sarah Warren
- NanoString Technologies, Seattle, WA 98109, USA; (A.W.); (M.B.); (A.C.); (S.W.)
| | - Paolo A. Ascierto
- Department of Melanoma, Cancer Immunotherapy and Development Therapeutics, Istituto Nazionale Tumori—IRCCS Fondazione “G. Pascale”, 80131 Napoli, Italy; (D.M.); (F.S.); (A.S.); (M.M.); (B.A.F.); (V.V.)
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2
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Huang C, Lau TWS, Smoller BR. Diagnosing Cutaneous Melanocytic Tumors in the Molecular Era: Updates and Review of Literature. Dermatopathology (Basel) 2024; 11:26-51. [PMID: 38247727 PMCID: PMC10801542 DOI: 10.3390/dermatopathology11010005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 01/08/2024] [Accepted: 01/09/2024] [Indexed: 01/23/2024] Open
Abstract
Over the past decade, molecular and genomic discoveries have experienced unprecedented growth, fundamentally reshaping our comprehension of melanocytic tumors. This review comprises three main sections. The first part gives an overview of the current genomic landscape of cutaneous melanocytic tumors. The second part provides an update on the associated molecular tests and immunohistochemical stains that are helpful for diagnostic purposes. The third section briefly outlines the diverse molecular pathways now utilized for the classification of cutaneous melanomas. The primary goal of this review is to provide a succinct overview of the molecular pathways involved in melanocytic tumors and demonstrate their practical integration into the realm of diagnostic aids. As the molecular and genomic knowledge base continues to expand, this review hopes to serve as a valuable resource for healthcare professionals, offering insight into the evolving molecular landscape of cutaneous melanocytic tumors and its implications for patient care.
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Affiliation(s)
- Chelsea Huang
- Department of Pathology, Loma Linda University Medical Center, Loma Linda, CA 92354, USA
| | | | - Bruce R. Smoller
- Department of Pathology and Laboratory Medicine, University of Rochester Medical Center, Rochester, NY 14642, USA;
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3
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Yang L, Stanisheuski S, Song Z, Bracha S, Maier CS. Top-down mass spectrometry for characterizing the low molecular weight proteome of canine osteosarcoma cell phenotypes. EUROPEAN JOURNAL OF MASS SPECTROMETRY (CHICHESTER, ENGLAND) 2023; 29:313-325. [PMID: 37724027 DOI: 10.1177/14690667231202766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/20/2023]
Abstract
Osteosarcoma (OS) is the most common primary malignant tumor of bone, which occupying about 20% of all bone cancers. To increase understanding of the biology of OS, we developed and evaluated a top-down mass spectrometry approach to detect, identify and quantify low molecular weight (MW) proteins (i.e., 1 kDa < MW < 30 kDa) in osteosarcoma cells. Top-down proteomic (TDP) data was acquired using reversed phase nano-liquid chromatography in conjunction with high-resolution mass spectrometry and resulted in the assignment of 328 proteins and 820 proteoforms or degradation products with high confidence. Eight post-translational modifications (PTMs) were identified in the present study, including N-terminal acetylation, lysine acetylation, succinylation, malonylation, serine/tyrosine phosphorylation, histidine methylation and N-acetylleucine. We confirmed that a truncated N-terminal proteoform lost 73 Da of mass through removal of the N-terminal Met (-131 Da), acetylation of the second amino acid (+42 Da), and Met oxidation (+16 Da). The results showed that the levels of proteoforms/biodegradable peptides correlated with the metastatic phenotypes of osteosarcoma cell lines. This study demonstrates the benefits of TDP for the characterization and relative quantification of proteoforms with relevance to OS biology and the potential of small molecular weight proteoforms to serve as a still underappreciated source of biomarkers.
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Affiliation(s)
- Liping Yang
- Department of Chemistry, Oregon State University, Corvallis, OR, USA
| | | | - Zifeng Song
- Department of Chemistry, Oregon State University, Corvallis, OR, USA
| | - Shay Bracha
- Department of Clinical Sciences, Oregon State University, Corvallis, OR, USA
| | - Claudia S Maier
- Department of Chemistry, Oregon State University, Corvallis, OR, USA
- Linus Pauling Institute, Oregon State University, Corvallis, OR, USA
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4
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Casadonte R, Kriegsmann M, Kriegsmann K, Streit H, Meliß RR, Müller CSL, Kriegsmann J. Imaging Mass Spectrometry for the Classification of Melanoma Based on BRAF/ NRAS Mutational Status. Int J Mol Sci 2023; 24:ijms24065110. [PMID: 36982192 PMCID: PMC10049262 DOI: 10.3390/ijms24065110] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 02/22/2023] [Accepted: 03/02/2023] [Indexed: 03/30/2023] Open
Abstract
Mutations of the oncogenes v-raf murine sarcoma viral oncogene homolog B1 (BRAF) and neuroblastoma RAS viral oncogene homolog (NRAS) are the most frequent genetic alterations in melanoma and are mutually exclusive. BRAF V600 mutations are predictive for response to the two BRAF inhibitors vemurafenib and dabrafenib and the mitogen-activated protein kinase kinase (MEK) inhibitor trametinib. However, inter- and intra-tumoral heterogeneity and the development of acquired resistance to BRAF inhibitors have important clinical implications. Here, we investigated and compared the molecular profile of BRAF and NRAS mutated and wildtype melanoma patients' tissue samples using imaging mass spectrometry-based proteomic technology, to identify specific molecular signatures associated with the respective tumors. SCiLSLab and R-statistical software were used to classify peptide profiles using linear discriminant analysis and support vector machine models optimized with two internal cross-validation methods (leave-one-out, k-fold). Classification models showed molecular differences between BRAF and NRAS mutated melanoma, and identification of both was possible with an accuracy of 87-89% and 76-79%, depending on the respective classification method applied. In addition, differential expression of some predictive proteins, such as histones or glyceraldehyde-3-phosphate-dehydrogenase, correlated with BRAF or NRAS mutation status. Overall, these findings provide a new molecular method to classify melanoma patients carrying BRAF and NRAS mutations and help provide a broader view of the molecular characteristics of these patients that may help understand the signaling pathways and interactions involving the altered genes.
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Affiliation(s)
| | - Mark Kriegsmann
- Institute of Pathology, University Hospital Heidelberg, 69120 Heidelberg, Germany
- Institute of Pathology Wiesbaden, 69120 Heidelberg, Germany
| | - Katharina Kriegsmann
- Department of Hematology Oncology and Rheumatology, University Hospital Heidelberg, 69120 Heidelberg, Germany
| | - Helene Streit
- Department of Medicine, Faculty of Medicine and Dentistry, Danube Private University, 3500 Krems, Austria
| | | | - Cornelia S L Müller
- MVZ für Histologie, Zytologie und Molekulare Diagnostik Trier, 54296 Trier, Germany
| | - Joerg Kriegsmann
- Proteopath GmbH, 54296 Trier, Germany
- Department of Medicine, Faculty of Medicine and Dentistry, Danube Private University, 3500 Krems, Austria
- MVZ für Histologie, Zytologie und Molekulare Diagnostik Trier, 54296 Trier, Germany
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5
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Teh R, Azimi A, Pupo GM, Ali M, Mann GJ, Fernández-Peñas P. Genomic and proteomic findings in early melanoma and opportunities for early diagnosis. Exp Dermatol 2023; 32:104-116. [PMID: 36373875 DOI: 10.1111/exd.14705] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 11/02/2022] [Accepted: 11/10/2022] [Indexed: 11/16/2022]
Abstract
Overdiagnosis of early melanoma is a significant problem. Due to subtle unique and overlapping clinical and histological criteria between pigmented lesions and the risk of mortality from melanoma, some benign pigmented lesions are diagnosed as melanoma. Although histopathology is the gold standard to diagnose melanoma, there is a demand to find alternatives that are more accurate and cost-effective. In the current "omics" era, there is gaining interest in biomarkers to help diagnose melanoma early and to further understand the mechanisms driving tumor progression. Genomic investigations have attempted to differentiate malignant melanoma from benign pigmented lesions. However, genetic biomarkers of early melanoma diagnosis have not yet proven their value in the clinical setting. Protein biomarkers may be more promising since they directly influence tissue phenotype, a result of by-products of genomic mutations, posttranslational modifications and environmental factors. Uncovering relevant protein biomarkers could increase confidence in their use as diagnostic signatures. Currently, proteomic investigations of melanoma progression from pigmented lesions are limited. Studies have previously characterised the melanoma proteome from cultured cell lines and clinical samples such as serum and tissue. This has been useful in understanding how melanoma progresses into metastasis and development of resistance to adjuvant therapies. Currently, most studies focus on metastatic melanoma to find potential drug therapy targets, prognostic factors and markers of resistance. This paper reviews recent advancements in the genomics and proteomic fields and reports potential avenues, which could help identify and differentiate melanoma from benign pigmented lesions and prevent the progression of melanoma.
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Affiliation(s)
- Rachel Teh
- Faculty of Medicine and Health, Westmead Clinical School, The University of Sydney, Westmead, New South Wales, Australia.,Department of Dermatology, Westmead Hospital, Westmead, New South Wales, Australia.,Centre for Cancer Research, Westmead Institute for Medical Research, The University of Sydney, Westmead, New South Wales, Australia
| | - Ali Azimi
- Faculty of Medicine and Health, Westmead Clinical School, The University of Sydney, Westmead, New South Wales, Australia.,Department of Dermatology, Westmead Hospital, Westmead, New South Wales, Australia.,Centre for Cancer Research, Westmead Institute for Medical Research, The University of Sydney, Westmead, New South Wales, Australia
| | - Gulietta M Pupo
- Faculty of Medicine and Health, Westmead Clinical School, The University of Sydney, Westmead, New South Wales, Australia.,Department of Dermatology, Westmead Hospital, Westmead, New South Wales, Australia.,Centre for Cancer Research, Westmead Institute for Medical Research, The University of Sydney, Westmead, New South Wales, Australia
| | - Marina Ali
- Faculty of Medicine and Health, Westmead Clinical School, The University of Sydney, Westmead, New South Wales, Australia
| | - Graham J Mann
- Centre for Cancer Research, Westmead Institute for Medical Research, The University of Sydney, Westmead, New South Wales, Australia.,The John Curtin School of Medical Research, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Pablo Fernández-Peñas
- Faculty of Medicine and Health, Westmead Clinical School, The University of Sydney, Westmead, New South Wales, Australia.,Department of Dermatology, Westmead Hospital, Westmead, New South Wales, Australia.,Centre for Cancer Research, Westmead Institute for Medical Research, The University of Sydney, Westmead, New South Wales, Australia
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6
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Applications of mass spectroscopy in understanding cancer proteomics. Proteomics 2023. [DOI: 10.1016/b978-0-323-95072-5.00007-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
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7
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Mapping of MeLiM melanoma combining ICP-MS and MALDI-MSI methods. Int J Biol Macromol 2022; 203:583-592. [PMID: 35090942 DOI: 10.1016/j.ijbiomac.2022.01.139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Revised: 01/19/2022] [Accepted: 01/21/2022] [Indexed: 11/22/2022]
Abstract
Here we developed a powerful tool for comprehensive data collection and mapping of molecular and elemental signatures in the Melanoma-bearing Libechov Minipig (MeLiM) model. The combination of different mass spectrometric methods allowed for detail investigation of specific melanoma markers and elements and their spatial distribution in tissue sections. MALDI-MSI combined with HPLC-MS/MS analyses resulted in identification of seven specific proteins, S100A12, CD163, MMP-2, galectin-1, tenascin, resistin and PCNA that were presented in the melanoma signatures. Furthermore, the ICP-MS method allowed for spatial detection of zinc, calcium, copper, and iron elements linked with the allocation of the specific binding proteins.
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8
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Karkas A, Berger F, Péoc'h JM, Cosmo P, Bouamrani A, Dumollard JM. Proteomic Imaging of Vestibular Schwannomas and Normal Nerves. Histopathologic Correlations. Otol Neurotol 2021; 42:1228-1236. [PMID: 33973953 DOI: 10.1097/mao.0000000000003179] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVES Proteomic analysis of vestibular schwannoma (VS), non-vestibular schwannoma (NVS), and normal nerve (NN) using mass spectrometry and imaging of matrix assisted laser desorption ionization-time of flight (MALDI-TOF). METHODS Retrospective, qualitative, and descriptive study on VS, NVS, and NN. Samples were provided by our Tumor Bank. They were analyzed histologically then sprayed by acid matrix. The laser beam of MALDI performed desorption-ionization of the sample. A mass spectrogram (MS) was drawn depending on time of flight of ionized peptides, and MALDI-imaging was obtained which is a summation color spectrum depending on sample's peptide content. The slice was reexamined histologically and results compared with MALDI-imaging. RESULTS Fifty schwannomas were sampled, of which 27 exploitable: 22 VS (17 Antoni type A and five type B) and five NVS (all Antoni type B). Eleven NN were analyzed. Among the 22 VS, near-total correlation between MALDI-imaging and pathology was found in two cases (9.1%), partial correlation in four (18.2%), and no correlation in 16 (72.7%); correlations were more frequent in VS of the Antoni type B. MS showed a peptide spike at 2,000 m/z in 7 (31.8%) and 5,000 m/z in 21 (95.5%). Among the five NVS, near-total correlation was found in three cases (60%), partial correlation in one (20%), and no correlation in one (20%). MS showed a peptide spike at 2,000 m/z in two (40%) and 5,000 m/z in all (100%). Among the 11 NN, near-total correlation was found in nine cases (81.8%), partial correlation in one (9.1%), and no correlation in one (9.1%). MS showed no peptide spike at 2,000 or 5,000 m/z. Behind homogeneous areas on histology, there was great heterogeneity on MALDI-imaging and MS, regarding VS and NVS, but not NN. CONCLUSIONS There was a lack of correlation between MALDI-imaging and pathology in VS (except Antoni type B) as compared with NVS and NN. The lack of correlation in VS of the type A as compared with type B VS and NVS could be attributed to the overexpression of degeneration-associated proteins/peptides in VS of the type B as well as NVS that are better correlated with histologic findings. The two peptide spikes detected in schwannoma and not in NN opens up the prospect of tumor biomarkers identifiable by sequencing. The proteomic polymorphism found in VS and NVS was absent on histology which is a new morphologic characteristic of schwannoma. Further studies should be performed in the future to confirm the benefit and usefulness of the MALDI in the analysis of VS and NVS.
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Affiliation(s)
- Alexandre Karkas
- Department of Otolaryngology-Head & Neck Surgery, University Medical Center of Saint-Etienne and Jean Monnet University, Saint-Etienne
- Clinatec Platform of CEA-LETI Laboratory
| | - François Berger
- Clinatec Platform of CEA-LETI Laboratory
- BrainTech Laboratory Inserm U1205 and University Medical Center of Grenoble
| | - Jean-Michel Péoc'h
- Department of Pathology, Cytology, and Tumor Banking (CRB42-TTK), University Medical Center of Saint-Etienne and Jean Monnet University, Saint-Etienne
| | - Philippe Cosmo
- Department of Pathology, Cytology, and Tumor Banking (CRB42-TTK), University Medical Center of Saint-Etienne and Jean Monnet University, Saint-Etienne
| | - Ali Bouamrani
- Clinatec Platform of CEA-LETI Laboratory
- Medicalps Laboratory, Grenoble, France
| | - Jean-Marc Dumollard
- Department of Pathology, Cytology, and Tumor Banking (CRB42-TTK), University Medical Center of Saint-Etienne and Jean Monnet University, Saint-Etienne
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9
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Casadonte R, Kriegsmann M, Kriegsmann K, Hauk I, Meliß RR, Müller CSL, Kriegsmann J. Imaging Mass Spectrometry-Based Proteomic Analysis to Differentiate Melanocytic Nevi and Malignant Melanoma. Cancers (Basel) 2021; 13:3197. [PMID: 34206844 PMCID: PMC8267712 DOI: 10.3390/cancers13133197] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 06/17/2021] [Accepted: 06/21/2021] [Indexed: 12/15/2022] Open
Abstract
The discrimination of malignant melanoma from benign nevi may be difficult in some cases. For this reason, immunohistological and molecular techniques are included in the differential diagnostic toolbox for these lesions. These methods are time consuming when applied subsequently and, in some cases, no definitive diagnosis can be made. We studied both lesions by imaging mass spectrometry (IMS) in a large cohort (n = 203) to determine a different proteomic profile between cutaneous melanomas and melanocytic nevi. Sample preparation and instrument setting were tested to obtain optimal results in term of data quality and reproducibility. A proteomic signature was found by linear discriminant analysis to discern malignant melanoma from benign nevus (n = 113) with an overall accuracy of >98%. The prediction model was tested in an independent set (n = 90) reaching an overall accuracy of 93% in classifying melanoma from nevi. Statistical analysis of the IMS data revealed mass-to-charge ratio (m/z) peaks which varied significantly (Area under the receiver operating characteristic curve > 0.7) between the two tissue types. To our knowledge, this is the largest IMS study of cutaneous melanoma and nevi performed up to now. Our findings clearly show that discrimination of melanocytic nevi from melanoma is possible by IMS.
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Affiliation(s)
| | - Mark Kriegsmann
- Institute of Pathology, University Hospital Heidelberg, 69120 Heidelberg, Germany;
| | - Katharina Kriegsmann
- Department of Hematology Oncology and Rheumatology, University Hospital Heidelberg, 69120 Heidelberg, Germany;
| | - Isabella Hauk
- Faculty of Medicine/Dentistry, Danube Private University, 3500 Krems-Stein, Austria;
| | - Rolf R. Meliß
- Institute für Dermatopathologie, 30519 Hannover, Germany;
| | - Cornelia S. L. Müller
- MVZ für Histologie, Zytologie und Molekulare Diagnostik Trier, 54296 Trier, Germany;
| | - Jörg Kriegsmann
- Proteopath GmbH, 54926 Trier, Germany; or
- Faculty of Medicine/Dentistry, Danube Private University, 3500 Krems-Stein, Austria;
- MVZ für Histologie, Zytologie und Molekulare Diagnostik Trier, 54296 Trier, Germany;
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10
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Al-Rohil RN, Moore JL, Patterson NH, Nicholson S, Verbeeck N, Claesen M, Muhammad JZ, Caprioli RM, Norris JL, Kantrow S, Compton M, Robbins J, Alomari AK. Diagnosis of melanoma by imaging mass spectrometry: Development and validation of a melanoma prediction model. J Cutan Pathol 2021; 48:1455-1462. [PMID: 34151458 DOI: 10.1111/cup.14083] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 05/24/2021] [Accepted: 05/30/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND The definitive diagnosis of melanocytic neoplasia using solely histopathologic evaluation can be challenging. Novel techniques that objectively confirm diagnoses are needed. This study details the development and validation of a melanoma prediction model from spatially resolved multivariate protein expression profiles generated by imaging mass spectrometry (IMS). METHODS Three board-certified dermatopathologists blindly evaluated 333 samples. Samples with triply concordant diagnoses were included in this study, divided into a training set (n = 241) and a test set (n = 92). Both the training and test sets included various representative subclasses of unambiguous nevi and melanomas. A prediction model was developed from the training set using a linear support vector machine classification model. RESULTS We validated the prediction model on the independent test set of 92 specimens (75 classified correctly, 2 misclassified, and 15 indeterminate). IMS detects melanoma with a sensitivity of 97.6% and a specificity of 96.4% when evaluating each unique spot. IMS predicts melanoma at the sample level with a sensitivity of 97.3% and a specificity of 97.5%. Indeterminate results were excluded from sensitivity and specificity calculations. CONCLUSION This study provides evidence that IMS-based proteomics results are highly concordant to diagnostic results obtained by careful histopathologic evaluation from a panel of expert dermatopathologists.
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Affiliation(s)
- Rami N Al-Rohil
- Departments of Pathology and Dermatology, Duke University School of Medicine, Durham, North Carolina, USA
| | | | - Nathan Heath Patterson
- Frontier Diagnostics, LLC, Nashville, Tennessee, USA.,Mass Spectrometry Research Center, Department of Biochemistry, Vanderbilt University, Nashville, Tennessee, USA
| | | | | | | | | | - Richard M Caprioli
- Frontier Diagnostics, LLC, Nashville, Tennessee, USA.,Mass Spectrometry Research Center, Department of Biochemistry, Vanderbilt University, Nashville, Tennessee, USA
| | - Jeremy L Norris
- Frontier Diagnostics, LLC, Nashville, Tennessee, USA.,Mass Spectrometry Research Center, Department of Biochemistry, Vanderbilt University, Nashville, Tennessee, USA
| | - Sara Kantrow
- Pathology Associates of Saint Thomas, Nashville, Tennessee, USA
| | - Margaret Compton
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Jason Robbins
- Pathology Associates of Saint Thomas, Nashville, Tennessee, USA
| | - Ahmed K Alomari
- Departments of Pathology and Dermatology, Indiana University School of Medicine, Indianapolis, Indiana, USA
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11
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Hu Y, Wang Z, Liu L, Zhu J, Zhang D, Xu M, Zhang Y, Xu F, Chen Y. Mass spectrometry-based chemical mapping and profiling toward molecular understanding of diseases in precision medicine. Chem Sci 2021; 12:7993-8009. [PMID: 34257858 PMCID: PMC8230026 DOI: 10.1039/d1sc00271f] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Accepted: 04/15/2021] [Indexed: 12/11/2022] Open
Abstract
Precision medicine has been strongly promoted in recent years. It is used in clinical management for classifying diseases at the molecular level and for selecting the most appropriate drugs or treatments to maximize efficacy and minimize adverse effects. In precision medicine, an in-depth molecular understanding of diseases is of great importance. Therefore, in the last few years, much attention has been given to translating data generated at the molecular level into clinically relevant information. However, current developments in this field lack orderly implementation. For example, high-quality chemical research is not well integrated into clinical practice, especially in the early phase, leading to a lack of understanding in the clinic of the chemistry underlying diseases. In recent years, mass spectrometry (MS) has enabled significant innovations and advances in chemical research. As reported, this technique has shown promise in chemical mapping and profiling for answering "what", "where", "how many" and "whose" chemicals underlie the clinical phenotypes, which are assessed by biochemical profiling, MS imaging, molecular targeting and probing, biomarker grading disease classification, etc. These features can potentially enhance the precision of disease diagnosis, monitoring and treatment and thus further transform medicine. For instance, comprehensive MS-based biochemical profiling of ovarian tumors was performed, and the results revealed a number of molecular insights into the pathways and processes that drive ovarian cancer biology and the ways that these pathways are altered in correspondence with clinical phenotypes. Another study demonstrated that quantitative biomarker mapping can be predictive of responses to immunotherapy and of survival in the supposedly homogeneous group of breast cancer patients, allowing for stratification of patients. In this context, our article attempts to provide an overview of MS-based chemical mapping and profiling, and a perspective on their clinical utility to improve the molecular understanding of diseases for advancing precision medicine.
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Affiliation(s)
- Yechen Hu
- School of Pharmacy, Nanjing Medical University Nanjing 211166 China
| | - Zhongcheng Wang
- School of Pharmacy, Nanjing Medical University Nanjing 211166 China
| | - Liang Liu
- School of Pharmacy, Nanjing Medical University Nanjing 211166 China
- Department of Pharmacy, Zhongnan Hospital of Wuhan University Wuhan 430071 China
| | - Jianhua Zhu
- School of Pharmacy, Nanjing Medical University Nanjing 211166 China
| | - Dongxue Zhang
- School of Pharmacy, Nanjing Medical University Nanjing 211166 China
| | - Mengying Xu
- School of Pharmacy, Nanjing Medical University Nanjing 211166 China
| | - Yuanyuan Zhang
- School of Pharmacy, Nanjing Medical University Nanjing 211166 China
| | - Feifei Xu
- School of Pharmacy, Nanjing Medical University Nanjing 211166 China
| | - Yun Chen
- School of Pharmacy, Nanjing Medical University Nanjing 211166 China
- State Key Laboratory of Reproductive Medicine, Key Laboratory of Cardiovascular & Cerebrovascular Medicine Nanjing 210029 China
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12
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Zhu Y, Lesch A, Li X, Lin TE, Gasilova N, Jović M, Pick HM, Ho PC, Girault HH. Rapid Noninvasive Skin Monitoring by Surface Mass Recording and Data Learning. JACS AU 2021; 1:598-611. [PMID: 34056635 PMCID: PMC8154208 DOI: 10.1021/jacsau.0c00074] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Indexed: 05/08/2023]
Abstract
Skin problems are often overlooked due to a lack of robust and patient-friendly monitoring tools. Herein, we report a rapid, noninvasive, and high-throughput analytical chemical methodology, aiming at real-time monitoring of skin conditions and early detection of skin disorders. Within this methodology, adhesive sampling and laser desorption ionization mass spectrometry are coordinated to record skin surface molecular mass in minutes. Automated result interpretation is achieved by data learning, using similarity scoring and machine learning algorithms. Feasibility of the methodology has been demonstrated after testing a total of 117 healthy, benign-disordered, or malignant-disordered skins. Remarkably, skin malignancy, using melanoma as a proof of concept, was detected with 100% accuracy already at early stages when the lesions were submillimeter-sized, far beyond the detection limit of most existing noninvasive diagnosis tools. Moreover, the malignancy development over time has also been monitored successfully, showing the potential to predict skin disorder progression. Capable of detecting skin alterations at the molecular level in a nonsurgical and time-saving manner, this analytical chemistry platform is promising to build personalized skin care.
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Affiliation(s)
- Yingdi Zhu
- Institute of Chemical Sciences and Engineering, School of Basic Sciences, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
| | - Andreas Lesch
- Department of Industrial Chemistry "Toso Montanari", Universita degli Studi di Bologna, 40136 Bologna, Italy
| | - Xiaoyun Li
- Department of Fundamental Oncology, Université de Lausanne, 1066 Epalinges, Switzerland
- Ludwig Institute for Cancer Research, Université de Lausanne, 1066 Epalinges, Switzerland
| | - Tzu-En Lin
- Institute of Biomedical Engineering, College of Electrical and Computer Engineering, National Chiao Tung University, 30010 Hsinchu, Taiwan
| | - Natalia Gasilova
- Institute of Chemical Sciences and Engineering, School of Basic Sciences, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
| | - Milica Jović
- Institute of Chemical Sciences and Engineering, School of Basic Sciences, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
| | - Horst Matthias Pick
- Environmental Engineering Institute, School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
| | - Ping-Chih Ho
- Department of Fundamental Oncology, Université de Lausanne, 1066 Epalinges, Switzerland
- Ludwig Institute for Cancer Research, Université de Lausanne, 1066 Epalinges, Switzerland
| | - Hubert H Girault
- Institute of Chemical Sciences and Engineering, School of Basic Sciences, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
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13
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Desiderio C, Rossetti DV, Castagnola M, Massimi L, Tamburrini G. Adamantinomatous craniopharyngioma: advances in proteomic research. Childs Nerv Syst 2021; 37:789-797. [PMID: 32617710 DOI: 10.1007/s00381-020-04750-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Accepted: 06/16/2020] [Indexed: 01/22/2023]
Abstract
BACKGROUND Many efforts have been performed in the last decade to accomplish the genomic and proteomic characterization of pediatric adamantinomatous craniopharyngioma with the purpose to elucidate the molecular mechanisms underlying the onset and development of this pediatric brain tumor, its high recurrence rate, and, although classified as a histologically benign neoplasm, its aggressive behavior. METHODS The focus of this review is to perform the new comparison of the proteomic profiles of the solid component and the intracystic fluid of adamantinomatous craniopharyngioma based on our previous results, obtained by both the top-down and the bottom-up proteomic approaches, to disclose differences and similarities, and to discuss the results in the context of the most recent literature. RESULTS AND CONCLUSIONS Proteins and peptides identified in the cyst fluid and in the solid component of adamantinomatous craniopharyngioma (AC) include beyond markers of inflammation (i.e., alpha-defensins), proteins involved in cell migration and protein degradation (i.e., beta-thymosin and ubiquitin peptides), whose main role might be in tumor growth and infiltration of the surrounding neural structures. These last appeared different in the solid components compared with the cyst fluid, missing their terminal part in the solid tissue, a feature generally associated to malignancies, which might represent a distinct molecular site for an aggressive behavior of AC.
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Affiliation(s)
- Claudia Desiderio
- Istituto di Scienze e Tecnologie Chimiche "Giulio Natta", Consiglio Nazionale delle Ricerche, Largo F. Vito 1, 00168, Rome, Italy.
| | - Diana Valeria Rossetti
- Dipartimento di Scienze Biotecnologiche di Base, Cliniche Intensivologiche e Perioperatorie, Università Cattolica del Sacro Cuore, 00168, Rome, Italy.,Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168, Rome, Italy
| | - Massimo Castagnola
- Laboratorio di Proteomica, Centro Europeo di Ricerca sul Cervello, IRCCS Fondazione Santa Lucia, Rome, Italy
| | - Luca Massimi
- UOC Neurochirurgia Infantile, Dipartimento di Scienze dell'Invecchiamento, Neurologiche, Ortopediche e della Testa-Collo; Fondazione Policlinico Universitario A. Gemelli - IRCCS, Università Cattolica del Sacro Cuore, Largo Gemelli 1, 00168, Rome, Italy
| | - Gianpiero Tamburrini
- UOC Neurochirurgia Infantile, Dipartimento di Scienze dell'Invecchiamento, Neurologiche, Ortopediche e della Testa-Collo; Fondazione Policlinico Universitario A. Gemelli - IRCCS, Università Cattolica del Sacro Cuore, Largo Gemelli 1, 00168, Rome, Italy.
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Migisha Ntwali P, Heo CE, Han JY, Chae SY, Kim M, Vu HM, Kim MS, Kim HI. Mass spectrometry-based proteomics of single cells and organoids: The new generation of cancer research. Trends Analyt Chem 2020. [DOI: 10.1016/j.trac.2020.116005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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15
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Jayathirtha M, Dupree EJ, Manzoor Z, Larose B, Sechrist Z, Neagu AN, Petre BA, Darie CC. Mass Spectrometric (MS) Analysis of Proteins and Peptides. Curr Protein Pept Sci 2020; 22:92-120. [PMID: 32713333 DOI: 10.2174/1389203721666200726223336] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2020] [Revised: 05/12/2020] [Accepted: 05/28/2020] [Indexed: 01/09/2023]
Abstract
The human genome is sequenced and comprised of ~30,000 genes, making humans just a little bit more complicated than worms or flies. However, complexity of humans is given by proteins that these genes code for because one gene can produce many proteins mostly through alternative splicing and tissue-dependent expression of particular proteins. In addition, post-translational modifications (PTMs) in proteins greatly increase the number of gene products or protein isoforms. Furthermore, stable and transient interactions between proteins, protein isoforms/proteoforms and PTM-ed proteins (protein-protein interactions, PPI) add yet another level of complexity in humans and other organisms. In the past, all of these proteins were analyzed one at the time. Currently, they are analyzed by a less tedious method: mass spectrometry (MS) for two reasons: 1) because of the complexity of proteins, protein PTMs and PPIs and 2) because MS is the only method that can keep up with such a complex array of features. Here, we discuss the applications of mass spectrometry in protein analysis.
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Affiliation(s)
- Madhuri Jayathirtha
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
| | - Emmalyn J Dupree
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
| | - Zaen Manzoor
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
| | - Brianna Larose
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
| | - Zach Sechrist
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
| | - Anca-Narcisa Neagu
- Laboratory of Animal Histology, Faculty of Biology, "Alexandru Ioan Cuza" University of Iasi, Iasi, Romania
| | - Brindusa Alina Petre
- Laboratory of Biochemistry, Department of Chemistry, Al. I. Cuza University of Iasi, Iasi, Romania, Center for Fundamental Research and Experimental Development in Translation Medicine - TRANSCEND, Regional Institute of Oncology, Iasi, Romania
| | - Costel C Darie
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
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16
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Košec A, Novak R, Konjevoda P, Trkulja V, Bedeković V, Grgurević L. Tumor tissue hnRNP M and HSP 90α as potential predictors of disease-specific mortality in patients with early-stage cutaneous head and neck melanoma: A proteomics-based study. Oncotarget 2019; 10:6713-6722. [PMID: 31803364 PMCID: PMC6877100 DOI: 10.18632/oncotarget.27333] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Accepted: 11/07/2019] [Indexed: 01/09/2023] Open
Abstract
Background: Breslow tumor thickness and mitotic rate are standardly used for risk stratification of patients with malignant melanoma. However, their prognostic value is relatively limited and a need for improved prognostication has been advocated. We aimed to screen the tumor tissue proteome in a search for potentially useful prognostic factors in early-stage cutaneous head and neck melanoma. Methodology and Findings: Proteomic profiles of archival formalin-fixed tissue samples of 31 patients (age 23–90 years) with early-stage head and neck cutaneous malignant melanoma (American Joint Committee on Cancer, AJCC, stage I/II) were determined and expression intensities were compared to those of melanocytic nevi, yielding ratios used in data analysis. Medical charts were retrospectively reviewed to determine time elapsed since diagnosis to disease-specific death or censoring. In a multivariate recursive partitioning analysis (as per AJCC guidelines), higher expression levels of heterogeneous nuclear ribonucleoprotein M (hnRNP M) [n = 18, HR = 1.94 vs. the entire cohort; HR = 5.95 (95%CI 2.43–14.5) for “high” vs. “low” (n = 13)] and of heat shock protein 90 alpha (HSP 90α) [n = 17, HR = 2.09 vs. the entire cohort; HR = 4.59 (95%CI 1.87–11.2) for “high” vs. “low” (n = 14)] were each independently strongly associated with higher mortality (accounting for clinical and standard pathohistological features). Higher Breslow thickness and mitotic rate were associated with higher mortality only when proteomic data were disregarded. Conclusions and Significance: Data suggest that tumor tissue expression of hnRNP M and/or of HSP 90α deserve further investigation and clinical validation as potential novel risk stratification aids in patients with stage I-II cutaneous head and neck malignant melanoma.
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Affiliation(s)
- Andro Košec
- Department of Otorhinolaryngology and Head and Neck Surgery, University Hospital Centre Sestre Milosrdnice, Zagreb, Croatia.,These authors contributed equally to this work
| | - Ruđer Novak
- Department for Proteomics, Center for Translational and Clinical Research, School of Medicine, University of Zagreb, Zagreb, Croatia.,These authors contributed equally to this work
| | - Paško Konjevoda
- Division of Molecular Medicine, Laboratory for Epigenomics, Rudjer Boskovic Institute, Zagreb, Croatia
| | - Vladimir Trkulja
- Department of Pharmacology, School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Vladimir Bedeković
- Department of Otorhinolaryngology and Head and Neck Surgery, University Hospital Centre Sestre Milosrdnice, Zagreb, Croatia
| | - Lovorka Grgurević
- Department for Proteomics, Center for Translational and Clinical Research, School of Medicine, University of Zagreb, Zagreb, Croatia.,Department of Anatomy "Drago Perović", School of Medicine, University of Zagreb, Zagreb, Croatia
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Investigating the Protein Signature of Adamantinomatous Craniopharyngioma Pediatric Brain Tumor Tissue: Towards the Comprehension of Its Aggressive Behavior. DISEASE MARKERS 2019; 2019:3609789. [PMID: 31191748 PMCID: PMC6525946 DOI: 10.1155/2019/3609789] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Revised: 03/14/2019] [Accepted: 03/31/2019] [Indexed: 02/07/2023]
Abstract
Although histologically benign, adamantinomatous craniopharyngioma (AC) pediatric brain tumor is a locally aggressive disease that frequently determines symptoms and hormonal dysfunctions related to the mass effect on the surrounding structures. Another typical feature of this benign neoplasm is the presence of voluminous liquid cysts frequently associated with the solid component. Even if studies have been devoted to the proteomic characterization of the tumor intracystic fluid, poor explorations have been performed on its solid part, principally investigated by transcriptomics technologies. In the present study, seven specimens of AC whole tumor tissue have been analyzed by LC-MS for a preliminary assessment of the proteomic profile by a top-down/bottom-up integrated approach. Thymosin beta 4, ubiquitin, calmodulin, S100 proteins, prothymosin α isoform 2, alpha-defensins 1-4, and fragments largely belonging to vimentin, hemoglobin, and glial fibrillary acidic protein characterized the intact proteome. The identification of alpha-defensins, formerly characterized in AC intracystic fluid, reinforces the hypothesis of a role for inflammation in tumor pathogenesis. A total number of 1798 unique elements were identified by a bottom-up approach with a special focus on the 433 proteins commonly characterized in the 85.7% of the samples analyzed. Their gene ontology classification evidenced the involvement of the adherence system, intermediate filaments, and actin cytoskeleton in tumor pathogenesis and of elements part of the Wnt, FGF, and EGFR signaling pathways. In addition, proteins involved in calcium modulation, innate immunity, inflammation, CCKR and integrin signaling, and gonadotropin-releasing hormone receptor pathways were also outlined. Further than confirming proteomic data previously obtained on AC intracystic fluid, these results offer a preliminary overview of the AC whole tissue protein phenotype, adding new hints towards the comprehension of this still obscure pediatric brain tumor.
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18
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Thymosin β 10 is overexpressed and associated with unfavorable prognosis in hepatocellular carcinoma. Biosci Rep 2019; 39:BSR20182355. [PMID: 30787051 PMCID: PMC6418399 DOI: 10.1042/bsr20182355] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Revised: 01/01/2019] [Accepted: 01/14/2019] [Indexed: 01/29/2023] Open
Abstract
Thymosin β 10 (TMSB10) has been demonstrated to be overexpressed and function as an oncogene in most types of human cancer including hepatocellular carcinoma (HCC). In our study, we present more evidence about the clinical significance and biological function of TMSB10 in HCC. First, we observed levels of TMSB10 expression were obviously increased in HCC tissues compared with normal liver tissues at The Cancer Genome Atlas (TCGA) datasets. Furthermore, we confirmed that TMSB10 mRNA and protein levels were also increased in HCC tissue samples compared with normal adjacent normal liver tissue samples. In addition, we found high TMSB10 expression was remarkably associated with the advanced tumor stage, large tumor size, distant metastasis, and poor prognosis, and acted as an independent factor for predicting poor overall survival in HCC patients. Loss-of-function studies suggested silencing of TMSB10 expression dramatically reduced cell proliferation, migration, and invasion in HCC. In conclusion, TMSB10 may hold promise as a tumor biomarker for predicting prognosis and a potential target for developing a novel therapeutic strategy.
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Luvoni GC, Colombo M, Morselli MG. The never-ending search of an ideal culture system for domestic cat oocytes and embryos. Reprod Domest Anim 2019; 53 Suppl 3:110-116. [PMID: 30474340 DOI: 10.1111/rda.13331] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2018] [Accepted: 08/22/2018] [Indexed: 01/20/2023]
Abstract
In the domestic cat, in vitro fertilization started 40 years ago, but an ideal culture system has yet to be achieved. The physiological microenvironments, which interact with oocytes and embryos promoting their competence, have been investigated. However, recreating in vitro follicle- and oviduct-like conditions is challenging and a matter of both chemistry and physics. This review presents an excursus of the experimental investigations focused on the improvement of feline oocytes and embryos culture through the modulation of chemical and physical factors. Medium supplementation with components of follicular and oviductal fluids, or the use of different co-cultures, supports or substrata have been considered. Innovative and sophisticated systems as "organ-on-a-chip" might lead to the creation of artificial follicles and oviducts and they may represent the ideal combination of chemical and physical factors. Will the search ever end?
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Affiliation(s)
- Gaia Cecilia Luvoni
- Dipartimento di Scienze Veterinarie per la Salute, la Produzione Animale e la Sicurezza Alimentare, Università degli Studi di Milano, Milan, Italy
| | - Martina Colombo
- Dipartimento di Scienze Veterinarie per la Salute, la Produzione Animale e la Sicurezza Alimentare, Università degli Studi di Milano, Milan, Italy
| | - Maria Giorgia Morselli
- Dipartimento di Scienze Veterinarie per la Salute, la Produzione Animale e la Sicurezza Alimentare, Università degli Studi di Milano, Milan, Italy
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20
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Neagu AN. Proteome Imaging: From Classic to Modern Mass Spectrometry-Based Molecular Histology. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1140:55-98. [PMID: 31347042 DOI: 10.1007/978-3-030-15950-4_4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
In order to overcome the limitations of classic imaging in Histology during the actually era of multiomics, the multi-color "molecular microscope" by its emerging "molecular pictures" offers quantitative and spatial information about thousands of molecular profiles without labeling of potential targets. Healthy and diseased human tissues, as well as those of diverse invertebrate and vertebrate animal models, including genetically engineered species and cultured cells, can be easily analyzed by histology-directed MALDI imaging mass spectrometry. The aims of this review are to discuss a range of proteomic information emerging from MALDI mass spectrometry imaging comparative to classic histology, histochemistry and immunohistochemistry, with applications in biology and medicine, concerning the detection and distribution of structural proteins and biological active molecules, such as antimicrobial peptides and proteins, allergens, neurotransmitters and hormones, enzymes, growth factors, toxins and others. The molecular imaging is very well suited for discovery and validation of candidate protein biomarkers in neuroproteomics, oncoproteomics, aging and age-related diseases, parasitoproteomics, forensic, and ecotoxicology. Additionally, in situ proteome imaging may help to elucidate the physiological and pathological mechanisms involved in developmental biology, reproductive research, amyloidogenesis, tumorigenesis, wound healing, neural network regeneration, matrix mineralization, apoptosis and oxidative stress, pain tolerance, cell cycle and transformation under oncogenic stress, tumor heterogeneity, behavior and aggressiveness, drugs bioaccumulation and biotransformation, organism's reaction against environmental penetrating xenobiotics, immune signaling, assessment of integrity and functionality of tissue barriers, behavioral biology, and molecular origins of diseases. MALDI MSI is certainly a valuable tool for personalized medicine and "Eco-Evo-Devo" integrative biology in the current context of global environmental challenges.
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Affiliation(s)
- Anca-Narcisa Neagu
- Laboratory of Animal Histology, Faculty of Biology, "Alexandru Ioan Cuza" University of Iasi, Iasi, Romania.
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Hillen LM, Van den Oord J, Geybels MS, Becker JC, Zur Hausen A, Winnepenninckx V. Genomic Landscape of Spitzoid Neoplasms Impacting Patient Management. Front Med (Lausanne) 2018; 5:344. [PMID: 30619857 PMCID: PMC6300473 DOI: 10.3389/fmed.2018.00344] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Accepted: 11/23/2018] [Indexed: 12/27/2022] Open
Abstract
Spitzoid neoplasms are a distinct group of melanocytic proliferations characterized by epithelioid and/ or spindle shaped melanocytes. Intermediate forms that share features of both benign Spitz nevi (SN) and Spitz melanoma, i.e., malignant Spitz tumor (MST) represent a diagnostically and clinically challenging group of melanocytic lesions. A multitude of descriptive diagnostic terms exist for these ambiguous lesions with atypical Spitz tumor (AST) or Spitz tumor of uncertain malignant potential (STUMP) just naming two of them. This diagnostic gray zone creates confusion and high insecurity in clinicians and in patients. Biological behavior and clinical course of this intermediate group still remains largely unknown, often leading to difficulties with uncertainties in clinical management and prognosis. Consequently, a better stratification of Spitzoid neoplasms in benign and malignant forms is required thereby keeping the diagnostic group of AST/STUMP as small as possible. Ancillary diagnostic techniques such as immunohistochemistry, comparative genomic hybridization, fluorescence in situ hybridization, next generation sequencing, micro RNA and mRNA analysis as well as mass spectrometry imaging offer new opportunities for the distinct diagnosis, thereby allowing the best clinical management of Spitzoid neoplasms. This review gives an overview on these additional diagnostic techniques and the recent developments in the field of molecular genetic alterations in Spitzoid neoplasms. We also discuss how the recent findings might facilitate the diagnosis and stratification of atypical Spitzoid neoplasms and how these findings will impact the diagnostic work up as well as patient management. We suggest a stepwise implementation of ancillary diagnostic techniques thereby integrating immunohistochemistry and molecular pathology findings in the diagnosis of challenging ambiguous Spitzoid neoplasms. Finally, we will give an outlook on pending future research objectives in the field of Spitzoid melanocytic lesions.
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Affiliation(s)
- Lisa M Hillen
- Department of Pathology, GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, Netherlands
| | - Joost Van den Oord
- Laboratory for Translational Cell and Tissue Research, Department of Pathology, KU Leuven, Leuven, Belgium
| | - Milan S Geybels
- Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, Netherlands
| | - Jürgen C Becker
- Institute for Translational Skin Cancer Research, German Cancer Consortium (DKTK), Partner Site Essen, University Hospital Essen, Essen, Germany
| | - Axel Zur Hausen
- Department of Pathology, GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, Netherlands
| | - Véronique Winnepenninckx
- Department of Pathology, GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, Netherlands
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Vaysse PM, Heeren RMA, Porta T, Balluff B. Mass spectrometry imaging for clinical research - latest developments, applications, and current limitations. Analyst 2018. [PMID: 28642940 DOI: 10.1039/c7an00565b] [Citation(s) in RCA: 138] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Mass spectrometry is being used in many clinical research areas ranging from toxicology to personalized medicine. Of all the mass spectrometry techniques, mass spectrometry imaging (MSI), in particular, has continuously grown towards clinical acceptance. Significant technological and methodological improvements have contributed to enhance the performance of MSI recently, pushing the limits of throughput, spatial resolution, and sensitivity. This has stimulated the spread of MSI usage across various biomedical research areas such as oncology, neurological disorders, cardiology, and rheumatology, just to name a few. After highlighting the latest major developments and applications touching all aspects of translational research (i.e. from early pre-clinical to clinical research), we will discuss the present challenges in translational research performed with MSI: data management and analysis, molecular coverage and identification capabilities, and finally, reproducibility across multiple research centers, which is the largest remaining obstacle in moving MSI towards clinical routine.
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Affiliation(s)
- Pierre-Maxence Vaysse
- Maastricht MultiModal Molecular Imaging (M4I) institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER, Maastricht, The Netherlands.
| | - Ron M A Heeren
- Maastricht MultiModal Molecular Imaging (M4I) institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER, Maastricht, The Netherlands.
| | - Tiffany Porta
- Maastricht MultiModal Molecular Imaging (M4I) institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER, Maastricht, The Netherlands.
| | - Benjamin Balluff
- Maastricht MultiModal Molecular Imaging (M4I) institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER, Maastricht, The Netherlands.
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Mascini NE, Teunissen J, Noorlag R, Willems SM, Heeren RM. Tumor classification with MALDI-MSI data of tissue microarrays: A case study. Methods 2018; 151:21-27. [DOI: 10.1016/j.ymeth.2018.04.004] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Revised: 03/04/2018] [Accepted: 04/09/2018] [Indexed: 11/25/2022] Open
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Machine learning techniques for mass spectrometry imaging data analysis and applications. Bioanalysis 2018; 10:519-522. [DOI: 10.4155/bio-2017-0281] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
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Guran R, Vanickova L, Horak V, Krizkova S, Michalek P, Heger Z, Zitka O, Adam V. MALDI MSI of MeLiM melanoma: Searching for differences in protein profiles. PLoS One 2017; 12:e0189305. [PMID: 29220390 PMCID: PMC5722329 DOI: 10.1371/journal.pone.0189305] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2017] [Accepted: 11/23/2017] [Indexed: 12/21/2022] Open
Abstract
Background Treatment of advanced cutaneous melanoma remains challenging, and new data on melanoma biology are required. The most widely accepted criteria for the prognostic evaluation of melanoma are histopathological and clinical parameters, and the identification of additional tumor markers is thus of paramount importance. Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI), an important tool in cancer research, is useful for unraveling the molecular profile of melanoma. Methodology/Principal findings In this report, we used the melanoma-bearing Libechov minipig (MeLiM), a unique animal model that allows observation of the complete spontaneous regression of invasive cutaneous melanoma, to investigate i) the differences between melanoma and healthy skin protein profiles and ii) the proteins potentially involved in spontaneous regression. The MeLiM tissues were cryosected, histologically characterized, analyzed by MALDI MSI, and immunohistologically stained. Multivariate statistical analyses of the MALDI MSI data revealed ten relevant m/z ions, of which the expression levels varied significantly among the studied MeLiM tissues. These ion peaks were used to create mass ion images/maps and visualize the differences between tumor and healthy skin specimens, as well as among histologically characterized tissue regions. Conclusions/Significance Protein profiles comprising ten statistically significant mass ion peaks useful for differentiating cutaneous melanoma and healthy skin tissues were determined. Peaks at m/z 3044, 6011, 6140 and 10180 were overexpressed in melanoma compared with healthy skin tissue. More specifically, m/z 6140 was expressed at significantly (p < 0.05) higher levels in normally growing melanoma regions than in regions with early and late spontaneous regression. This study demonstrates the clinical utility of MALDI MSI for the analysis of tissue cryosections at a molecular level.
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Affiliation(s)
- Roman Guran
- Department of Chemistry and Biochemistry, Mendel University in Brno, Brno, Czech Republic
- Central European Institute of Technology, Brno University of Technology, Brno, Czech Republic
| | - Lucie Vanickova
- Department of Chemistry and Biochemistry, Mendel University in Brno, Brno, Czech Republic
| | - Vratislav Horak
- Institute of Animal Physiology and Genetics, Academy of Sciences of the Czech Republic, v.v.i., Libechov, Czech Republic
| | - Sona Krizkova
- Department of Chemistry and Biochemistry, Mendel University in Brno, Brno, Czech Republic
- Central European Institute of Technology, Brno University of Technology, Brno, Czech Republic
| | - Petr Michalek
- Department of Chemistry and Biochemistry, Mendel University in Brno, Brno, Czech Republic
- Central European Institute of Technology, Brno University of Technology, Brno, Czech Republic
| | - Zbynek Heger
- Department of Chemistry and Biochemistry, Mendel University in Brno, Brno, Czech Republic
- Central European Institute of Technology, Brno University of Technology, Brno, Czech Republic
| | - Ondrej Zitka
- Department of Chemistry and Biochemistry, Mendel University in Brno, Brno, Czech Republic
- Central European Institute of Technology, Brno University of Technology, Brno, Czech Republic
| | - Vojtech Adam
- Department of Chemistry and Biochemistry, Mendel University in Brno, Brno, Czech Republic
- Central European Institute of Technology, Brno University of Technology, Brno, Czech Republic
- * E-mail:
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Lou S, Balluff B, de Graaff MA, Cleven AHG, Briaire-de Bruijn I, Bovée JVMG, McDonnell LA. High-grade sarcoma diagnosis and prognosis: Biomarker discovery by mass spectrometry imaging. Proteomics 2017; 16:1802-13. [PMID: 27174013 DOI: 10.1002/pmic.201500514] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2015] [Revised: 05/04/2016] [Accepted: 05/09/2016] [Indexed: 12/24/2022]
Abstract
The combination of high heterogeneity, both intratumoral and intertumoral, with their rarity has made diagnosis, prognosis of high-grade sarcomas difficult. There is an urgent need for more objective molecular biomarkers, to differentiate between the many different subtypes, and to also provide new treatment targets. Mass spectrometry imaging (MSI) has amply demonstrated its ability to identify potential new markers for patient diagnosis, survival, metastasis and response to therapy in cancer research. In this study, we investigated the ability of MALDI-MSI of proteins to distinguish between high-grade osteosarcoma (OS), leiomyosarcoma (LMS), myxofibrosarcoma (MFS) and undifferentiated pleomorphic sarcoma (UPS) (Ntotal = 53). We also investigated if there are individual proteins or protein signatures that are statistically associated with patient survival. Twenty diagnostic protein signals were found characteristic for specific tumors (p ≤ 0.05), amongst them acyl-CoA-binding protein (m/z 11 162), macrophage migration inhibitory factor (m/z 12 350), thioredoxin (m/z 11 608) and galectin-1 (m/z 14 633) were assigned. Another nine protein signals were found to be associated with overall survival (p ≤ 0.05), including proteasome activator complex subunit 1 (m/z 9753), indicative for non-OS patients with poor survival; and two histone H4 variants (m/z 11 314 and 11 355), indicative of poor survival for LMS patients.
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Affiliation(s)
- Sha Lou
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Benjamin Balluff
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands.,Maastricht MultiModal Molecular Imaging Institute, Maastricht University, Maastricht, The Netherlands
| | - Marieke A de Graaff
- Department of Pathology, Leiden University, Medical Center, Leiden, The Netherlands
| | - Arjen H G Cleven
- Department of Pathology, Leiden University, Medical Center, Leiden, The Netherlands
| | | | - Judith V M G Bovée
- Department of Pathology, Leiden University, Medical Center, Leiden, The Netherlands
| | - Liam A McDonnell
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands.,Department of Pathology, Leiden University, Medical Center, Leiden, The Netherlands.,Fondazione Pisana per la Scienza ONLUS, Pisa, Italy
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Functional imaging in combination with mutation status aids prediction of response to inhibiting B-cell receptor signaling in lymphoma. Oncotarget 2017; 8:78917-78929. [PMID: 29108275 PMCID: PMC5668008 DOI: 10.18632/oncotarget.20551] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2017] [Accepted: 07/31/2017] [Indexed: 12/15/2022] Open
Abstract
Aberrant B-cell receptor (BCR) signaling is known to contribute to malignant transformation. Two small molecule inhibitors targeting BCR pathway signaling include ibrutinib, a Bruton’s tyrosine kinase (BTK) inhibitor, and idelalisib, a specific Phosphatidylinositol-4,5-bisphosphate 3-kinase delta (PI3Kδ) inhibitor, both of which have been approved for use in haematological malignancies. Despite the identification of various diffuse large B-cell lymphoma (DLBCL) subtypes, mutation status alone is not sufficient to predict patient response and therapeutic resistance can arise. Herein we apply early molecular imaging across alternative activated B-cell (ABC) and germinal center B-cell (GCB) DLBCL subtypes to investigate the effects of BCR pathway inhibition. Treatment with both inhibitors adversely affected cell growth and viability. These effects were partially predictable based upon mutation status. Accordingly, very early 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography (18F-FDG-PET) and 3’-deoxy-3’[18F]-fluorothymidine positron emission tomography (18F-FLT-PET) reported tumour regression and reductions in tumour metabolism and proliferation upon treatment. Furthermore, matrix-assisted laser desorption ionization imaging mass spectrometry (MALDI IMS) identified alterations in the proteome of a model of ABC DLBCL upon treatment with ibrutinib or idelalisib. In conclusion we demonstrate that very early molecular imaging adds predictive value in addition to mutational status of DLBCL that may be useful in directing patient therapy.
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28
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Chen Y, Jester JV, Anderson DM, Marchitti SA, Schey KL, Thompson DC, Vasiliou V. Corneal haze phenotype in Aldh3a1 -null mice: In vivo confocal microscopy and tissue imaging mass spectrometry. Chem Biol Interact 2017; 276:9-14. [DOI: 10.1016/j.cbi.2016.12.017] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2016] [Revised: 11/30/2016] [Accepted: 12/22/2016] [Indexed: 12/16/2022]
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MALDI imaging: beyond classic diagnosis. BOLETIN MEDICO DEL HOSPITAL INFANTIL DE MEXICO 2017; 74:212-218. [PMID: 29382489 DOI: 10.1016/j.bmhimx.2017.03.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2017] [Revised: 03/21/2017] [Accepted: 03/28/2017] [Indexed: 02/04/2023] Open
Abstract
Mass spectrometry has been the focus of technology development and application for imaging for several decades. Imaging mass spectrometry using matrix-assisted laser desorption ionization is a new and effective tool for molecular studies of complex biological samples such as tissue sections. As histological features remain intact throughout the analysis of a section, distribution maps of multiple analytes can be correlated with histological and clinical features. Spatial molecular arrangements can be assessed without the need for target-specific reagents, allowing the discovery of diagnostic and prognostic markers of different cancer types and enabling the determination of effective therapies.
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30
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Dilillo M, Ait-Belkacem R, Esteve C, Pellegrini D, Nicolardi S, Costa M, Vannini E, Graaf ELD, Caleo M, McDonnell LA. Ultra-High Mass Resolution MALDI Imaging Mass Spectrometry of Proteins and Metabolites in a Mouse Model of Glioblastoma. Sci Rep 2017; 7:603. [PMID: 28377615 PMCID: PMC5429601 DOI: 10.1038/s41598-017-00703-w] [Citation(s) in RCA: 114] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2016] [Accepted: 03/08/2017] [Indexed: 01/27/2023] Open
Abstract
MALDI mass spectrometry imaging is able to simultaneously determine the spatial distribution of hundreds of molecules directly from tissue sections, without labeling and without prior knowledge. Ultra-high mass resolution measurements based on Fourier-transform mass spectrometry have been utilized to resolve isobaric lipids, metabolites and tryptic peptides. Here we demonstrate the potential of 15T MALDI-FTICR MSI for molecular pathology in a mouse model of high-grade glioma. The high mass accuracy and resolving power of high field FTICR MSI enabled tumor specific proteoforms, and tumor-specific proteins with overlapping and isobaric isotopic distributions to be clearly resolved. The protein ions detected by MALDI MSI were assigned to proteins identified by region-specific microproteomics (0.8 mm2 regions isolated using laser capture microdissection) on the basis of exact mass and isotopic distribution. These label free quantitative experiments also confirmed the protein expression changes observed by MALDI MSI and revealed changes in key metabolic proteins, which were supported by in-situ metabolite MALDI MSI.
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Affiliation(s)
- M Dilillo
- Fondazione Pisana per la Scienza ONLUS - Via Panfilo Castaldi 2, 56121, Pisa, Italy
- Department of Chemistry and Industrial Chemistry - Università di Pisa - Via Giuseppe Moruzzi 13, 56124, Pisa, Italy
| | - R Ait-Belkacem
- Fondazione Pisana per la Scienza ONLUS - Via Panfilo Castaldi 2, 56121, Pisa, Italy
| | - C Esteve
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - D Pellegrini
- Fondazione Pisana per la Scienza ONLUS - Via Panfilo Castaldi 2, 56121, Pisa, Italy
- NEST, Istituto Nanoscienze-National Research Council, 56127, Pisa, Italy
| | - S Nicolardi
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - M Costa
- CNR Neuroscience Institute, Via Moruzzi 1, 56124, Pisa, Italy
| | - E Vannini
- CNR Neuroscience Institute, Via Moruzzi 1, 56124, Pisa, Italy
| | - E L de Graaf
- Fondazione Pisana per la Scienza ONLUS - Via Panfilo Castaldi 2, 56121, Pisa, Italy
| | - M Caleo
- CNR Neuroscience Institute, Via Moruzzi 1, 56124, Pisa, Italy
| | - L A McDonnell
- Fondazione Pisana per la Scienza ONLUS - Via Panfilo Castaldi 2, 56121, Pisa, Italy.
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands.
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands.
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Angel PM, Baldwin HS, Gottlieb Sen D, Su YR, Mayer JE, Bichell D, Drake RR. Advances in MALDI imaging mass spectrometry of proteins in cardiac tissue, including the heart valve. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2017; 1865:927-935. [PMID: 28341601 DOI: 10.1016/j.bbapap.2017.03.009] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2016] [Revised: 02/15/2017] [Accepted: 03/20/2017] [Indexed: 01/01/2023]
Abstract
Significant progress has been made for tissue imaging of proteins using matrix-assisted laser desorption ionization imaging mass spectrometry (MALDI IMS). These advancements now facilitate mapping of a wide range of proteins, peptides, and post-translational modifications in a wide variety of tissues; however, the use of MALDI IMS to detect proteins from cardiac tissue is limited. This review discusses the most recent advances in protein imaging and demonstrates application to cardiac tissue, including the heart valve. Protein imaging by MALDI IMS allows multiplexed histological mapping of proteins and protein components that are inaccessible by antibodies and should be considered an important tool for basic and clinical cardiovascular research. This article is part of a Special Issue entitled: MALDI Imaging, edited by Dr. Corinna Henkel and Prof. Peter Hoffmann.
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Affiliation(s)
- Peggi M Angel
- Department of Cell and Molecular Pharmacology & Experimental Therapeutics, Medical University of South Carolina, Charleston, USA; Medical University of South Carolina Proteomics Center, Medical University of South Carolina, Charleston, USA.
| | - H Scott Baldwin
- Department of Pediatrics and Cell Development and Biology, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Yan Ru Su
- Department of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - John E Mayer
- Department of Cardiac Surgery, Boston Children's Hospital & Harvard Medical School, Boston, MA, USA
| | - David Bichell
- Division of Pediatric Cardiac Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Richard R Drake
- Department of Cell and Molecular Pharmacology & Experimental Therapeutics, Medical University of South Carolina, Charleston, USA; Medical University of South Carolina Proteomics Center, Medical University of South Carolina, Charleston, USA
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Ucal Y, Durer ZA, Atak H, Kadioglu E, Sahin B, Coskun A, Baykal AT, Ozpinar A. Clinical applications of MALDI imaging technologies in cancer and neurodegenerative diseases. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2017; 1865:795-816. [PMID: 28087424 DOI: 10.1016/j.bbapap.2017.01.005] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2016] [Revised: 12/08/2016] [Accepted: 01/06/2017] [Indexed: 12/25/2022]
Abstract
Matrix-assisted laser desorption/ionization (MALDI) time-of-flight (TOF) imaging mass spectrometry (IMS) enables localization of analytes of interest along with histology. More specifically, MALDI-IMS identifies the distributions of proteins, peptides, small molecules, lipids, and drugs and their metabolites in tissues, with high spatial resolution. This unique capacity to directly analyze tissue samples without the need for lengthy sample preparation reduces technical variability and renders MALDI-IMS ideal for the identification of potential diagnostic and prognostic biomarkers and disease gradation. MALDI-IMS has evolved rapidly over the last decade and has been successfully used in both medical and basic research by scientists worldwide. In this review, we explore the clinical applications of MALDI-IMS, focusing on the major cancer types and neurodegenerative diseases. In particular, we re-emphasize the diagnostic potential of IMS and the challenges that must be confronted when conducting MALDI-IMS in clinical settings. This article is part of a Special Issue entitled: MALDI Imaging, edited by Dr. Corinna Henkel and Prof. Peter Hoffmann.
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Affiliation(s)
- Yasemin Ucal
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey
| | - Zeynep Aslıhan Durer
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey
| | - Hakan Atak
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey
| | - Elif Kadioglu
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey
| | - Betul Sahin
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey
| | - Abdurrahman Coskun
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey
| | - Ahmet Tarık Baykal
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey
| | - Aysel Ozpinar
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey.
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Arentz G, Mittal P, Zhang C, Ho YY, Briggs M, Winderbaum L, Hoffmann MK, Hoffmann P. Applications of Mass Spectrometry Imaging to Cancer. Adv Cancer Res 2017; 134:27-66. [PMID: 28110654 DOI: 10.1016/bs.acr.2016.11.002] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Pathologists play an essential role in the diagnosis and prognosis of benign and cancerous tumors. Clinicians provide tissue samples, for example, from a biopsy, which are then processed and thin sections are placed onto glass slides, followed by staining of the tissue with visible dyes. Upon processing and microscopic examination, a pathology report is provided, which relies on the pathologist's interpretation of the phenotypical presentation of the tissue. Targeted analysis of single proteins provide further insight and together with clinical data these results influence clinical decision making. Recent developments in mass spectrometry facilitate the collection of molecular information about such tissue specimens. These relatively new techniques generate label-free mass spectra across tissue sections providing nonbiased, nontargeted molecular information. At each pixel with spatial coordinates (x/y) a mass spectrum is acquired. The acquired mass spectrums can be visualized as intensity maps displaying the distribution of single m/z values of interest. Based on the sample preparation, proteins, peptides, lipids, small molecules, or glycans can be analyzed. The generated intensity maps/images allow new insights into tumor tissues. The technique has the ability to detect and characterize tumor cells and their environment in a spatial context and combined with histological staining, can be used to aid pathologists and clinicians in the diagnosis and management of cancer. Moreover, such data may help classify patients to aid therapy decisions and predict outcomes. The novel complementary mass spectrometry-based methods described in this chapter will contribute to the transformation of pathology services around the world.
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Affiliation(s)
- G Arentz
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia
| | - P Mittal
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia
| | - C Zhang
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia
| | - Y-Y Ho
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia
| | - M Briggs
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia; ARC Centre for Nanoscale BioPhotonics (CNBP), University of Adelaide, Adelaide, SA, Australia
| | - L Winderbaum
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia
| | - M K Hoffmann
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia
| | - P Hoffmann
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia.
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Drake RR, Powers TW, Jones EE, Bruner E, Mehta AS, Angel PM. MALDI Mass Spectrometry Imaging of N-Linked Glycans in Cancer Tissues. Adv Cancer Res 2016; 134:85-116. [PMID: 28110657 DOI: 10.1016/bs.acr.2016.11.009] [Citation(s) in RCA: 104] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Glycosylated proteins account for a majority of the posttranslation modifications of cell surface, secreted, and circulating proteins. Within the tumor microenvironment, the presence of immune cells, extracellular matrix proteins, cell surface receptors, and interactions between stroma and tumor cells are all processes mediated by glycan binding and recognition reactions. Changes in glycosylation during tumorigenesis are well documented to occur and affect all of these associated adhesion and regulatory functions. A MALDI imaging mass spectrometry (MALDI-IMS) workflow for profiling N-linked glycan distributions in fresh/frozen tissues and formalin-fixed paraffin-embedded tissues has recently been developed. The key to the approach is the application of a molecular coating of peptide-N-glycosidase to tissues, an enzyme that cleaves asparagine-linked glycans from their protein carrier. The released N-linked glycans can then be analyzed by MALDI-IMS directly on tissue. Generally 40 or more individual glycan structures are routinely detected, and when combined with histopathology localizations, tumor-specific glycans are readily grouped relative to nontumor regions and other structural features. This technique is a recent development and new approach in glycobiology and mass spectrometry imaging research methodology; thus, potential uses such as tumor-specific glycan biomarker panels and other applications are discussed.
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Affiliation(s)
- R R Drake
- Medical University of South Carolina, Charleston, SC, United States.
| | - T W Powers
- Medical University of South Carolina, Charleston, SC, United States
| | - E E Jones
- Medical University of South Carolina, Charleston, SC, United States
| | - E Bruner
- Medical University of South Carolina, Charleston, SC, United States
| | - A S Mehta
- Medical University of South Carolina, Charleston, SC, United States
| | - P M Angel
- Medical University of South Carolina, Charleston, SC, United States
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Apparicio M, Santos VG, Rocha D, Ferreira CR, Macente BI, Magalhães GM, Alves AE, Motheo TF, Padilha-Nakaghi LC, Pires-Buttler EA, Luvoni GC, Eberlin MN, Vicente W. Matrix-assisted laser desorption/ionization imaging mass spectrometry for the spatial location of feline oviductal proteins. Reprod Domest Anim 2016; 52 Suppl 2:88-92. [PMID: 27807892 DOI: 10.1111/rda.12842] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
With the purpose of identifying factors involved in early stages of embryo development in the domestic cat, matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI-IMS) was used for the first time to describe the spatial localization of proteins in the oviducts of queens. Oviducts were obtained from two 2 and 4 years old cross-bred queens, divided into three segments, snap-frozen in liquid nitrogen and then stored at -80°C until use. Next, they were sectioned in a cryostat, fixed on ITO (indium tin oxide) conductive glass slides for MALDI-IMS and serial sections were collected on microscope slides for histology. As confirmed by histology, MALDI-IMS was able to show contrasting protein distributions in the oviductal infundibulum, ampulla and isthmus. Mass spectra were characterized by abundant ions of m/z 1,259, 4,939, 4,960 and 10,626, which have been tentatively attributed to keratin, thymosin β10, thymosin β4 and S100, respectively. Keratin and thymosins are involved in the biological response to tissue damage. S100 proteins are calcium-modulated proteins implicated in a variety of cellular activities, including cell differentiation and regulation of cell motility. These results suggest that protein composition differs between segments of the cat oviduct, which corresponds to morphological changes within these sections. Further functional studies could elucidate the effects of these proteins on feline reproductive physiology.
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Affiliation(s)
- M Apparicio
- Programa de Mestrado em Ciência Animal, Universidade de Franca, UNIFRAN, Franca/SP, Brazil
| | - V G Santos
- Thomson Mass Spectrometry Laboratory, Institute of Chemistry, University of Campinas, UNICAMP, Campinas/SP, Brazil
| | - Dfo Rocha
- Thomson Mass Spectrometry Laboratory, Institute of Chemistry, University of Campinas, UNICAMP, Campinas/SP, Brazil
| | - C R Ferreira
- Thomson Mass Spectrometry Laboratory, Institute of Chemistry, University of Campinas, UNICAMP, Campinas/SP, Brazil
| | - B I Macente
- Departamento de Medicina Veterinária Preventiva e Reprodução Animal, UNESP, Jaboticabal/SP, Brazil
| | - G M Magalhães
- Programa de Mestrado em Ciência Animal, Universidade de Franca, UNIFRAN, Franca/SP, Brazil
| | - A E Alves
- Departamento de Medicina Veterinária Preventiva e Reprodução Animal, UNESP, Jaboticabal/SP, Brazil
| | - T F Motheo
- Departamento de Medicina Veterinária Preventiva e Reprodução Animal, UNESP, Jaboticabal/SP, Brazil
| | - L C Padilha-Nakaghi
- Departamento de Medicina Veterinária Preventiva e Reprodução Animal, UNESP, Jaboticabal/SP, Brazil
| | - E A Pires-Buttler
- Departamento de Medicina Veterinária Preventiva e Reprodução Animal, UNESP, Jaboticabal/SP, Brazil
| | - G C Luvoni
- Dipartimento di Scienze Veterinarie per la Salute, la Produzione Animale e la Sicurezza Alimentare, Università degli Studi di Milano, Milan, Italy
| | - M N Eberlin
- Thomson Mass Spectrometry Laboratory, Institute of Chemistry, University of Campinas, UNICAMP, Campinas/SP, Brazil
| | - Wrr Vicente
- Departamento de Medicina Veterinária Preventiva e Reprodução Animal, UNESP, Jaboticabal/SP, Brazil
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A Proof of Concept to Bridge the Gap between Mass Spectrometry Imaging, Protein Identification and Relative Quantitation: MSI~LC-MS/MS-LF. Proteomes 2016; 4:proteomes4040032. [PMID: 28248242 PMCID: PMC5260965 DOI: 10.3390/proteomes4040032] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2016] [Revised: 10/04/2016] [Accepted: 10/17/2016] [Indexed: 01/08/2023] Open
Abstract
Mass spectrometry imaging (MSI) is a powerful tool to visualize the spatial distribution of molecules on a tissue section. The main limitation of MALDI-MSI of proteins is the lack of direct identification. Therefore, this study focuses on a MSI~LC-MS/MS-LF workflow to link the results from MALDI-MSI with potential peak identification and label-free quantitation, using only one tissue section. At first, we studied the impact of matrix deposition and laser ablation on protein extraction from the tissue section. Then, we did a back-correlation of the m/z of the proteins detected by MALDI-MSI to those identified by label-free quantitation. This allowed us to compare the label-free quantitation of proteins obtained in LC-MS/MS with the peak intensities observed in MALDI-MSI. We managed to link identification to nine peaks observed by MALDI-MSI. The results showed that the MSI~LC-MS/MS-LF workflow (i) allowed us to study a representative muscle proteome compared to a classical bottom-up workflow; and (ii) was sparsely impacted by matrix deposition and laser ablation. This workflow, performed as a proof-of-concept, suggests that a single tissue section can be used to perform MALDI-MSI and protein extraction, identification, and relative quantitation.
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Hao H, Xiao D, Pan J, Qu J, Egger M, Waigel S, Sanders MAG, Zacharias W, Rai SN, McMasters KM. Sentinel Lymph Node Genes to Predict Prognosis in Node-Positive Melanoma Patients. Ann Surg Oncol 2016; 24:108-116. [DOI: 10.1245/s10434-016-5575-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2016] [Indexed: 11/18/2022]
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Galli M, Zoppis I, Smith A, Magni F, Mauri G. Machine learning approaches in MALDI-MSI: clinical applications. Expert Rev Proteomics 2016; 13:685-96. [PMID: 27322705 DOI: 10.1080/14789450.2016.1200470] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
INTRODUCTION Despite the unquestionable advantages of Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging in visualizing the spatial distribution and the relative abundance of biomolecules directly on-tissue, the yielded data is complex and high dimensional. Therefore, analysis and interpretation of this huge amount of information is mathematically, statistically and computationally challenging. AREAS COVERED This article reviews some of the challenges in data elaboration with particular emphasis on machine learning techniques employed in clinical applications, and can be useful in general as an entry point for those who want to study the computational aspects. Several characteristics of data processing are described, enlightening advantages and disadvantages. Different approaches for data elaboration focused on clinical applications are also provided. Practical tutorial based upon Orange Canvas and Weka software is included, helping familiarization with the data processing. Expert commentary: Recently, MALDI-MSI has gained considerable attention and has been employed for research and diagnostic purposes, with successful results. Data dimensionality constitutes an important issue and statistical methods for information-preserving data reduction represent one of the most challenging aspects. The most common data reduction methods are characterized by collecting independent observations into a single table. However, the incorporation of relational information can improve the discriminatory capability of the data.
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Affiliation(s)
- Manuel Galli
- a Department of Medicine and Surgery , University of Milano Bicocca , Monza Brianza , Italy
| | - Italo Zoppis
- b Department of Informatics, Systems and Communication , University of Milano Bicocca , Milano , Italy
| | - Andrew Smith
- a Department of Medicine and Surgery , University of Milano Bicocca , Monza Brianza , Italy
| | - Fulvio Magni
- a Department of Medicine and Surgery , University of Milano Bicocca , Monza Brianza , Italy
| | - Giancarlo Mauri
- b Department of Informatics, Systems and Communication , University of Milano Bicocca , Milano , Italy
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Longuespée R, Casadonte R, Kriegsmann M, Pottier C, Picard de Muller G, Delvenne P, Kriegsmann J, De Pauw E. MALDI mass spectrometry imaging: A cutting-edge tool for fundamental and clinical histopathology. Proteomics Clin Appl 2016; 10:701-19. [PMID: 27188927 DOI: 10.1002/prca.201500140] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2015] [Revised: 04/07/2016] [Accepted: 05/13/2016] [Indexed: 01/16/2023]
Abstract
Histopathological diagnoses have been done in the last century based on hematoxylin and eosin staining. These methods were complemented by histochemistry, electron microscopy, immunohistochemistry (IHC), and molecular techniques. Mass spectrometry (MS) methods allow the thorough examination of various biocompounds in extracts and tissue sections. Today, mass spectrometry imaging (MSI), and especially matrix-assisted laser desorption ionization (MALDI) imaging links classical histology and molecular analyses. Direct mapping is a major advantage of the combination of molecular profiling and imaging. MSI can be considered as a cutting edge approach for molecular detection of proteins, peptides, carbohydrates, lipids, and small molecules in tissues. This review covers the detection of various biomolecules in histopathological sections by MSI. Proteomic methods will be introduced into clinical histopathology within the next few years.
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Affiliation(s)
- Rémi Longuespée
- Proteopath GmbH, Trier, Germany.,Mass Spectrometry Laboratory, GIGA-Research, Department of Chemistry, University of Liège, Liège, Belgium
| | | | - Mark Kriegsmann
- Institute of Pathology, University of Heidelberg, Heidelberg, Germany
| | - Charles Pottier
- Laboratory of Experimental Pathology, GIGA-Cancer, Department of Pathology, University of Liège, Liège, Belgium
| | | | - Philippe Delvenne
- Laboratory of Experimental Pathology, GIGA-Cancer, Department of Pathology, University of Liège, Liège, Belgium
| | - Jörg Kriegsmann
- Proteopath GmbH, Trier, Germany.,MVZ for Histology, Cytology and Molecular Diagnostics Trier, Trier, Germany
| | - Edwin De Pauw
- Mass Spectrometry Laboratory, GIGA-Research, Department of Chemistry, University of Liège, Liège, Belgium
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40
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van de Ven SMWY, Bemis KD, Lau K, Adusumilli R, Kota U, Stolowitz M, Vitek O, Mallick P, Gambhir SS. Protein biomarkers on tissue as imaged via MALDI mass spectrometry: A systematic approach to study the limits of detection. Proteomics 2016; 16:1660-9. [PMID: 26970438 DOI: 10.1002/pmic.201500515] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2015] [Revised: 02/23/2016] [Accepted: 03/05/2016] [Indexed: 01/05/2023]
Abstract
MALDI mass spectrometry imaging (MSI) is emerging as a tool for protein and peptide imaging across tissue sections. Despite extensive study, there does not yet exist a baseline study evaluating the potential capabilities for this technique to detect diverse proteins in tissue sections. In this study, we developed a systematic approach for characterizing MALDI-MSI workflows in terms of limits of detection, coefficients of variation, spatial resolution, and the identification of endogenous tissue proteins. Our goal was to quantify these figures of merit for a number of different proteins and peptides, in order to gain more insight in the feasibility of protein biomarker discovery efforts using this technique. Control proteins and peptides were deposited in serial dilutions on thinly sectioned mouse xenograft tissue. Using our experimental setup, coefficients of variation were <30% on tissue sections and spatial resolution was 200 μm (or greater). Limits of detection for proteins and peptides on tissue were in the micromolar to millimolar range. Protein identification was only possible for proteins present in high abundance in the tissue. These results provide a baseline for the application of MALDI-MSI towards the discovery of new candidate biomarkers and a new benchmarking strategy that can be used for comparing diverse MALDI-MSI workflows.
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Affiliation(s)
- Stephanie M W Y van de Ven
- Canary Center at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.,Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA
| | - Kyle D Bemis
- Department of Statistics, Purdue University, West Lafayette, IN, USA
| | - Kenneth Lau
- Canary Center at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Ravali Adusumilli
- Canary Center at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.,Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA
| | - Uma Kota
- Canary Center at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.,Thermo Fisher Scientific, San Jose, CA, USA
| | - Mark Stolowitz
- Canary Center at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.,Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA
| | - Olga Vitek
- College of Science, College of Computer and Information Science, Northeastern University, Boston, MA, USA
| | - Parag Mallick
- Canary Center at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.,Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA
| | - Sanjiv S Gambhir
- Canary Center at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.,Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA.,Department of Bioengineering, Stanford University School of Medicine, Stanford, CA, USA.,Department of Materials Science & Engineering, Stanford, CA, USA
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41
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Martelli C, Iavarone F, D'Angelo L, Arba M, Vincenzoni F, Inserra I, Delfino D, Rossetti DV, Caretto M, Massimi L, Tamburrini G, Di Rocco C, Caldarelli M, Messana I, Castagnola M, Sanna MT, Desiderio C. Integrated proteomic platforms for the comparative characterization of medulloblastoma and pilocytic astrocytoma pediatric brain tumors: a preliminary study. MOLECULAR BIOSYSTEMS 2016; 11:1668-83. [PMID: 25909245 DOI: 10.1039/c5mb00076a] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
A top-down/bottom-up integrated proteomic approach based on LC-MS and 2-DE analysis was applied for comparative characterization of medulloblastoma and pilocytic astrocytoma posterior cranial fossa pediatric brain tumor tissues. Although rare, primary brain tumors are the most frequent solid tumors in the pediatric age. Among them the medulloblastoma is the prevalent malignant tumor in childhood while pilocytic astrocytoma is the most common, rarely showing a malignant progression. Due to the limited availability of this kind of sample, the study was applied to pooled tumor tissues for a preliminary investigation. The results showed different proteomic profiles of the two tumors and evidenced interesting differential expression of several proteins and peptides. Top-down proteomics of acid-soluble fractions of brain tumor homogenates ascribed a potential biomarker role of malignancy to β- and α-thymosins and their truncated proteoforms and to C-terminal truncated (des-GG) ubiquitin, resulting exclusively detected or over-expressed in the highly malignant medulloblastoma. The bottom-up proteomics of the acid-soluble fraction identified several proteins, some of them in common with 2-DE analysis of acid-insoluble pellets. Peroxiredoxin-1, peptidyl-prolyl cis-trans isomerase A, triosephosphate isomerase, pyruvate kinase PKM, tubulin beta and alpha chains, heat shock protein HSP-90-beta and different histones characterized the medulloblastoma while the Ig kappa chain C region, serotransferrin, tubulin beta 2A chain and vimentin the pilocytic astrocytoma. The two proteomic strategies, with their pros and cons, well complemented each other in characterizing the proteome of brain tumor tissues and in disclosing potential disease biomarkers to be validated in a future study on individual samples of both tumor histotypes.
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Affiliation(s)
- Claudia Martelli
- Istituto di Biochimica e Biochimica Clinica, Facoltà di Medicina, Università Cattolica del Sacro Cuore, Rome, Italy
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42
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Lahiri S, Sun N, Buck A, Imhof A, Walch A. MALDI imaging mass spectrometry as a novel tool for detecting histone modifications in clinical tissue samples. Expert Rev Proteomics 2016; 13:275-84. [DOI: 10.1586/14789450.2016.1146598] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
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43
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Lahiri S, Sun N, Solis-Mezarino V, Fedisch A, Ninkovic J, Feuchtinger A, Götz M, Walch A, Imhof A. In situ detection of histone variants and modifications in mouse brain using imaging mass spectrometry. Proteomics 2016; 16:437-47. [PMID: 26593131 DOI: 10.1002/pmic.201500345] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2015] [Revised: 10/14/2015] [Accepted: 10/16/2015] [Indexed: 01/25/2023]
Abstract
Histone posttranslational modifications and histone variants control the epigenetic regulation of gene expression and affect a wide variety of biological processes. A complex pattern of such modifications and variants defines the identity of cells within complex organ systems and can therefore be used to characterize cells at a molecular level. However, their detection and identification in situ has been limited so far due to lack of specificity, selectivity, and availability of antihistone antibodies. Here, we describe a novel MALDI imaging MS based workflow, which enables us to detect and characterize histones by their intact mass and their correlation with cytological properties of the tissue using novel statistical and image analysis tools. The workflow allows us to characterize the in situ distribution of the major histone variants and their modification in the mouse brain. This new analysis tool is particularly useful for the investigation of expression patterns of the linker histone H1 variants for which suitable antibodies are so far not available.
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Affiliation(s)
- Shibojyoti Lahiri
- Protein Analysis Unit (ZfP), Biomedical Center (BMC), Ludwig Maximilians University Munich, Planegg-Martinsried, Germany
| | - Na Sun
- Research Unit Analytical Pathology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | | | - Andreas Fedisch
- Protein Analysis Unit (ZfP), Biomedical Center (BMC), Ludwig Maximilians University Munich, Planegg-Martinsried, Germany
| | - Jovica Ninkovic
- Institute of Stem Cell Research, GSF-National Research Center for Environment and Health, Neuherberg, Germany.,Munich Cluster for Systems Neurology (SyNergy), Ludwig Maximilians University of Munich, Munich, Germany.,Institute of Physiological Genomics, Ludwig Maximilians University of Munich, Munich, Germany
| | - Annette Feuchtinger
- Research Unit Analytical Pathology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Magdalena Götz
- Institute of Stem Cell Research, GSF-National Research Center for Environment and Health, Neuherberg, Germany.,Munich Cluster for Systems Neurology (SyNergy), Ludwig Maximilians University of Munich, Munich, Germany.,Institute of Physiological Genomics, Ludwig Maximilians University of Munich, Munich, Germany
| | - Axel Walch
- Research Unit Analytical Pathology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Axel Imhof
- Protein Analysis Unit (ZfP), Biomedical Center (BMC), Ludwig Maximilians University Munich, Planegg-Martinsried, Germany
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44
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Hsu CC, Chou PT, Zare RN. Imaging of Proteins in Tissue Samples Using Nanospray Desorption Electrospray Ionization Mass Spectrometry. Anal Chem 2015; 87:11171-5. [DOI: 10.1021/acs.analchem.5b03389] [Citation(s) in RCA: 86] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
- Cheng-Chih Hsu
- Department
of Chemistry, Stanford University, Stanford, California 94305, United States
- Department
of Chemistry, National Taiwan University, Taipei 10617, Taiwan
| | - Pi-Tai Chou
- Department
of Chemistry, National Taiwan University, Taipei 10617, Taiwan
| | - Richard N. Zare
- Department
of Chemistry, Stanford University, Stanford, California 94305, United States
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45
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Boellner S, Becker KF. Recent progress in protein profiling of clinical tissues for next-generation molecular diagnostics. Expert Rev Mol Diagn 2015. [DOI: 10.1586/14737159.2015.1070098] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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46
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Cabras T, Iavarone F, Martelli C, Delfino D, Rossetti DV, Inserra I, Manconi B, Desiderio C, Messana I, Hannappel E, Faa G, Castagnola M. High-resolution mass spectrometry for thymosins detection and characterization. Expert Opin Biol Ther 2015; 15 Suppl 1:S191-201. [PMID: 26095945 DOI: 10.1517/14712598.2015.1009887] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVES The aim of this study was to characterize β and α thymosins and their proteoforms in various tissues and bodily fluids by mass spectrometry and to look at their association with a wide variety of pathologies. METHODS A top-down proteomic platform based on high-performance liquid chromatography (HPLC) coupled to high-resolution LTQ-Orbitrap mass spectrometry (MS) was applied to the characterization of naturally occurring peptides. RESULTS In addition to thymosin β4 (Tβ4) and β10 (Tβ10), several post-translational modifications of both these peptides were identified not only in bodily fluids but also in normal and pathological tissues of different origins. The analysis of tissue specimens allowed the characterization of different C-terminal truncated forms of Tβ4 and Tβ10 together with other proteolytic fragments. The sulfoxide derivative of both Tβ4 and Tβ10 and the acetylated derivatives at lysine residues of Tβ4 were also characterized. Different proteoforms of prothymosin α, parathymosin α, thymosin α1 and thymosin α11 together with diverse proteolytic fragments were identified too. CONCLUSION The clinical and prognostic significance and the origin of these proteoforms have to be deeply investigated.
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Affiliation(s)
- Tiziana Cabras
- Università di Cagliari, Dipartimento di Scienze della Vita e dell'Ambiente , Cagliari , Italy
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47
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Martin-Lorenzo M, Balluff B, Maroto AS, Carreira RJ, van Zeijl RJM, Gonzalez-Calero L, de la Cuesta F, Barderas MG, Lopez-Almodovar LF, Padial LR, McDonnell LA, Vivanco F, Alvarez-Llamas G. Molecular anatomy of ascending aorta in atherosclerosis by MS Imaging: Specific lipid and protein patterns reflect pathology. J Proteomics 2015; 126:245-51. [PMID: 26079611 DOI: 10.1016/j.jprot.2015.06.005] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2015] [Revised: 06/03/2015] [Accepted: 06/07/2015] [Indexed: 12/22/2022]
Abstract
The molecular anatomy of healthy and atherosclerotic tissue is pursued here to identify ongoing molecular changes in atherosclerosis development. Subclinical atherosclerosis cannot be predicted and novel therapeutic targets are needed. Mass spectrometry imaging (MSI) is a novel unexplored ex vivo imaging approach in CVD able to provide in-tissue molecular maps. A rabbit model of early atherosclerosis was developed and high-spatial-resolution MALDI-MSI was applied to comparatively analyze histologically-based arterial regions of interest from control and early atherosclerotic aortas. Specific protocols were applied to identify lipids and proteins significantly altered in response to atherosclerosis. Observed protein alterations were confirmed by immunohistochemistry in rabbit tissue, and additionally in human aortas. Molecular features specifically defining different arterial regions were identified. Localized in the intima, increased expression of SFA and lysolipids and intimal spatial organization showing accumulation of PI, PG and SM point to endothelial dysfunction and triggered inflammatory response. TG, PA, SM and PE-Cer were identified specifically located in calcified regions. Thymosin β4 (TMSB4X) protein was upregulated in intima versus media layer and also in response to atherosclerosis. This overexpression and localization was confirmed in human aortas. In conclusion, molecular histology by MS Imaging identifies spatial organization of arterial tissue in response to atherosclerosis.
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Affiliation(s)
- Marta Martin-Lorenzo
- Department of Immunology, IIS-Fundación Jiménez Díaz, UAM, REDinREN, Madrid, Spain
| | - Benjamin Balluff
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Aroa S Maroto
- Department of Immunology, IIS-Fundación Jiménez Díaz, UAM, REDinREN, Madrid, Spain
| | - Ricardo J Carreira
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Rene J M van Zeijl
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Fernando de la Cuesta
- Department of Vascular Physiopathology, Hospital Nacional de Paraplejicos, SESCAM, Toledo, Spain
| | - Maria G Barderas
- Department of Vascular Physiopathology, Hospital Nacional de Paraplejicos, SESCAM, Toledo, Spain
| | | | - Luis R Padial
- Department of Cardiology, Hospital Virgen de la Salud, SESCAM, Toledo, Spain
| | - Liam A McDonnell
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands.
| | - Fernando Vivanco
- Department of Immunology, IIS-Fundación Jiménez Díaz, UAM, REDinREN, Madrid, Spain; Department of Biochemistry and Molecular Biology I, Universidad Complutense, Madrid, Spain
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48
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Addie RD, Balluff B, Bovée JVMG, Morreau H, McDonnell LA. Current State and Future Challenges of Mass Spectrometry Imaging for Clinical Research. Anal Chem 2015; 87:6426-33. [DOI: 10.1021/acs.analchem.5b00416] [Citation(s) in RCA: 85] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Ruben D. Addie
- Center for Proteomics
and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | - Benjamin Balluff
- Center for Proteomics
and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Hans Morreau
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | - Liam A. McDonnell
- Center for Proteomics
and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
- Fondazione Pisana per la Scienza ONLUS, Pisa, Italy
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49
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Guan M, Chen X, Ma Y, Tang L, Guan L, Ren X, Yu B, Zhang W, Su B. MDA-9 and GRP78 as potential diagnostic biomarkers for early detection of melanoma metastasis. Tumour Biol 2015; 36:2973-82. [PMID: 25480418 DOI: 10.1007/s13277-014-2930-9] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2014] [Accepted: 11/28/2014] [Indexed: 10/24/2022] Open
Abstract
Metastatic melanoma, the primary cause of skin cancer-related death, warrants new diagnostic and therapeutic approaches that target the regulatory machinery at molecular level. The heterogeneity and complexity of melanoma result in the difficulty to find biomarkers and targets for early detection and treatment. Here, we investigated metastasis-associated proteins by comparing the proteomic profiles of primary cutaneous melanomas to their matched lymph node metastases, which minimizes heterogeneity among samples from different patients. Results of two-dimensional gel electrophoresis (2-DE) followed by proteomic analysis revealed eight differentially expressed proteins. Among them, seven proteins (α-enolase, cofilin-1, LDH, m-β-actin, Nm23, GRP78, and MDA-9) showed increased and one (annexin A2) showed decreased expression in metastatic lymph node tissues than in primary melanomas. MDA-9 and GRP78 were the most highly expressed proteins in lymph node metastases, which was validated by immunohistochemical staining. Moreover, exosomes from serum samples of metastatic melanoma patients contained higher levels of MDA-9 and GRP78 than those of patients without metastases, indicating the potential of MDA-9 and GRP78 to be biomarkers for early detection of metastasis. Further, small interfering RNA (siRNA)-mediated knockdown confirmed a functional role for MDA-9 and GRP78 to promote cell invasion in the A375 cells. Finally, we showed that GRP78 co-localized with MDA-9 in 293T cells. Taken together, our findings support MDA-9, co-expressed with GRP78, as a melanoma protein associated with lymph node metastasis. Investigating how MDA-9 and GRP78 interact to contribute to melanoma metastasis and disease progression could reveal new potential avenues of targeted therapy and/or useful biomarkers for diagnosis and prognosis.
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Affiliation(s)
- Ming Guan
- Department of Laboratory Medicine, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, 200040, China
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50
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Kriegsmann M, Casadonte R, Randau T, Gravius S, Pennekamp P, Strauss A, Oldenburg J, Wieczorek K, Deininger SO, Otto M, Kriegsmann J. MALDI imaging of predictive ferritin, fibrinogen and proteases in haemophilic arthropathy. Haemophilia 2015; 20:446-53. [PMID: 24847521 DOI: 10.1111/hae.12377] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Arthropathy as a result of repeated joint bleeding is a severe complication in patients with haemophilia. In the evaluation of synovial tissue specimens, histology alone is non-specific and there is considerable morphological overlap with other joint diseases. Formalin-fixed paraffin-embedded specimens are available in pathological institutes and can be studied to understand the pathogenesis of haemophilic arthropathy. A powerful technique to identify hundreds of proteins in a tissue section combining proteomics with morphology is imaging mass spectrometry (IMS). We determined whether matrix-assisted laser desorption/ionization (MALDI) IMS can be used to identify and map protein signatures in the synovial tissue of patients with haemophilic arthropathy. MALDI IMS was applied to synovial tissue of six patients with haemophilic arthropathy. We detected several peaks predictive in mass with ferritin light (m/z 1608) and heavy chain (m/z 1345), alpha- (m/z 1071) and beta (m/z 1274) haemoglobin subunits, truncated coagulation factor VIII peptide (m/z 1502, 1176), beta- and gamma fibrinogen peptides (m/z 980, 1032, 1117 and 1683), and annexin A2 (m/z 1111, 1268, 1460, 2164). In addition, the distribution of these proteins in synovial tissue sections was demonstrated. MALDI IMS identified and mapped specific proteins in the synovial membrane of patients with haemophilic arthropathy known to be involved in the pathogenesis of other joint diseases. This technique is a powerful tool to analyse the distribution of proteins in synovial tissue sections.
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