2019
DOI: 10.1016/j.jprot.2018.03.021
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Molecular signatures of medullary thyroid carcinoma by matrix-assisted laser desorption/ionisation mass spectrometry imaging

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Cited by 37 publications
(31 citation statements)
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“…In recent years, MALDI-MSI of tryptic peptides generated from FFPE sections has been increasingly used for tumor classification and the discovery of putative disease biomarkers (2225). The use of FFPE sections rather than fresh-frozen tissues extends the technique to a vast store of archival pathology specimens.…”
Section: Discussionmentioning
confidence: 99%
“…In recent years, MALDI-MSI of tryptic peptides generated from FFPE sections has been increasingly used for tumor classification and the discovery of putative disease biomarkers (2225). The use of FFPE sections rather than fresh-frozen tissues extends the technique to a vast store of archival pathology specimens.…”
Section: Discussionmentioning
confidence: 99%
“…To maximize the homogeneity in preanalytical variables, cases were selected from a unique institution with available trackable processing phases. For this study, fixation time was set at 24 hours following the surgical procedure, as previously described [6]. Tissues subsequently were grossed and processed as routine cases; a representative histological hematoxylin and eosin (H&E) stained section of the original nodules was evaluated by two lung-committed pathologists (FB, FP) avoiding little fixed areas of necrosis and fibrosis and the corresponding paraffin block was chosen for the study.…”
Section: Methodsmentioning
confidence: 99%
“…As intact proteins are not accessible for direct MALDI–MSI, tryptic peptides form the bulk of MALDI–MSI studies using FFPE samples. This has been particularly useful for investigating clinically relevant questions where typical histomorphological analysis may be ambiguous, e.g., classifying thyroid cancers, identifying metastasis origin, and discriminating between benign and malignant skin lesions . MALDI–MSI has been used for retrospective studies, such as identifying proteins associated with lymph node metastases from primary endometrial cancer .…”
Section: Introductionmentioning
confidence: 99%