ArticleMedicina oral, patologia oral y cirugia bucal2013
Tissue microarray construction for salivary gland tumors study.
Article in Medicina oral, patologia oral y cirugia bucal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- MutSα expression predicts a lower disease-free survival in malignant salivary gland tumors: an immunohistochemical study.Medicina oral, patologia oral y cirugia bucal · 2022Article
- SOX10 and GATA3 in Adenoid Cystic Carcinoma and Polymorphous Adenocarcinoma.Head and neck pathology · 2020Article
- Recommendations for Tissue Microarray Construction and Quality Assurance.Applied immunohistochemistry & molecular morphology : AIMM · 2020Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo describe and discuss the design, building and usefulness of tissue microarray (TMA) blocks for the study of salivary gland tumors (SGTs). STUDY
designTwo hundred thirty-eight formalin-fixed, paraffin-embedded SGTs were arranged in blocks of TMA using a manual tissue arrayer. Three representative cores of 1.0, 2.0 or 3.0mm were taken from each original block and their characteristics were analyzed and described.
resultsIt was created 12 TMA blocks that presented highly representative neoplastic cylinders. However, those neoplasias rich in cystic spaces such as mucoepidermoid carcinoma and Warthin tumor presented more difficulties to be sampled, as the neoplastic tissue available was scarce. Tissue damage and loss during TMA construction was estimated as 3.7%.
conclusionRepresentative areas of SGTs, with relatively small loss of tissue, can be obtained with the construction of TMA blocks for molecular studies. However, tumors rich in cystic spaces present more difficulties to be adequately sampled.
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