Proteome analysis in thyroid pathology

Pagni, Fabio; L’Imperio, Vincenzo; Bono, F; Garancini, Mattia; Roversi, Gaia; Sio, Gabriele De; Galli, Manuel; Smith, Andrew; Chinello, Clizia; Magni, Fulvio

doi:10.1586/14789450.2015.1062369

Cited by 26 publications

(21 citation statements)

References 101 publications

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“…MALDI‐MSI is now an established and robust tool for the spatially resolved analysis of biomolecules directly in situ . ][ The technological advancements associated with matrix deposition and TOF‐MS instrumentation are continually driving clinical applications forward, especially in the area of pathology .…”

Section: Discussionmentioning

confidence: 99%

High Spatial Resolution MALDI‐MS Imaging in the Study of Membranous Nephropathy

Smith

L’Imperio

Denti

et al. 2018

Proteomics Clinical Apps

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Purpose Matrix‐assisted laser desorption/ionization mass spectrometry imaging (MALDI‐MSI) technology has advanced rapidly during recent years with the development of instruments equipped with low‐diameter lasers that are suitable for high spatial resolution imaging. This may provide significant advantages in certain fields of molecular pathology where more specific protein fingerprints of individual cell types are required, such as renal pathology. Experimental design Here MALDI‐MSI analysis of a cohort of membranous nephropathy (MN) patients is performed among which patients either responded favorably (R; n = 6), or unfavorably (NR; n = 4), to immunosuppressive treatment (Ponticelli Regimen), employing a 10 µm laser spot diameter. Results Specific tryptic peptide profiles of the different cellular regions within the glomerulus can be generated, similarly for the epithelial cells belonging to the proximal and distal tubules. Conversely, specific glomerular and sub‐glomerular profiles cannot be obtained while using the pixel size performed in previous studies (50 µm). Furthermore, two proteins are highlighted, sonic hedgehog and α‐smooth muscle actin, whose signal intensity and spatial localization within the sub‐glomerular and tubulointerstitial compartments differ between treatment responders and non‐responders. Conclusions and clinical relevance The present study exemplifies the advantage of using high spatial resolution MALDI‐MSI for the study of MN and highlights that such findings have the potential to provide complementary support in the routine prognostic assessment of MN patients.

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Section: Discussionmentioning

confidence: 99%

High Spatial Resolution MALDI‐MS Imaging in the Study of Membranous Nephropathy

Smith

L’Imperio

Denti

et al. 2018

Proteomics Clinical Apps

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“…Assessment of preoperative biomarkers for thyroid carcinomas through microRNA screening [37], proteome, and lipidome analyses [38, 39] have recently proven to be highly promising strategies. Thus, integrative approaches including the here established predictive score based on the combined alterations of several molecular biomarker levels, possibly in combination with biomarkers assessed by microRNA, proteomic and lipidomic profiling, might encompass a great potential towards increasing the reliability of the preoperative diagnostics for thyroid carcinomas.…”

Section: Discussionmentioning

confidence: 99%

Identification of CHEK1, SLC26A4, c-KIT, TPO and TG as new biomarkers for human follicular thyroid carcinoma

et al. 2016

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The search for preoperative biomarkers for thyroid malignancies, in particular for follicular thyroid carcinoma (FTC) diagnostics, is of utmost clinical importance. We thus aimed at screening for potential biomarker candidates for FTC. To evaluate dynamic alterations in molecular patterns as a function of thyroid malignancy progression, a comparative analysis was conducted in clinically distinct subgroups of FTC and poorly differentiated thyroid carcinoma (PDTC) nodules. NanoString analysis of FFPE samples was performed in 22 follicular adenomas, 56 FTC and 25 PDTC nodules, including oncocytic and non-oncocytic subgroups. The expression levels of CHEK1, c-KIT, SLC26A4, TG and TPO were significantly altered in all types of thyroid carcinomas. Based on collective changes of these biomarkers which correlating among each other, a predictive score has been established, allowing for discrimination between benign and FTC samples with high sensitivity and specificity. Additional transcripts related to thyroid function, cell cycle, circadian clock, and apoptosis regulation were altered in the more aggressive oncocytic subgroups only, with expression levels correlating with disease progression. Distinct molecular patterns were observed for oncocytic and non-oncocytic FTCs and PDTCs. A predictive score correlation coefficient based on collective alterations of identified here biomarkers might help to improve the preoperative diagnosis of FTC nodules.

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“…Overexpression of galectin-1, galectin-3, and S100 proteins in PTC and FTC have been described in multiple studies [110][111][112]. Other proteins that were differentially expressed in thyroid cancer involve mitochondrial function, ROS, and oxidative stress response proteins, and proteins involved in protein folding (HSP40, HSP70, HSP90, calreticulin, and PDI A3) [113][114][115].…”

Section: Proteomics In Thyroid Cancermentioning

confidence: 97%

Multi-omics Signatures and Translational Potential to Improve Thyroid Cancer Patient Outcome

Boufraqech

Nilubol

2019

Cancers

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Recent advances in high-throughput molecular and multi-omics technologies have improved our understanding of the molecular changes associated with thyroid cancer initiation and progression. The translation into clinical use based on molecular profiling of thyroid tumors has allowed a significant improvement in patient risk stratification and in the identification of targeted therapies, and thereby better personalized disease management and outcome. This review compiles the following: (1) the major molecular alterations of the genome, epigenome, transcriptome, proteome, and metabolome found in all subtypes of thyroid cancer, thus demonstrating the complexity of these tumors and (2) the great translational potential of multi-omics studies to improve patient outcome.

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Proteome analysis in thyroid pathology

Cited by 26 publications

References 101 publications

High Spatial Resolution MALDI‐MS Imaging in the Study of Membranous Nephropathy

High Spatial Resolution MALDI‐MS Imaging in the Study of Membranous Nephropathy

Identification of CHEK1, SLC26A4, c-KIT, TPO and TG as new biomarkers for human follicular thyroid carcinoma

Multi-omics Signatures and Translational Potential to Improve Thyroid Cancer Patient Outcome

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