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Identification of the true hyperdiploid multiple myeloma subset by combining conventional karyotyping and FISH analysis
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7026173/ https://www.ncbi.nlm.nih.gov/pubmed/32066724 http://dx.doi.org/10.1038/s41408-020-0285-6 |
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author | Barilà, Gregorio Bonaldi, Laura Grassi, Angela Martines, Annalisa Liço, Albana Macrì, Nadia Nalio, Silvia Pavan, Laura Berno, Tamara Branca, Antonio Calabretto, Giulia Carrino, Marilena Teramo, Antonella Manni, Sabrina Piazza, Francesco Semenzato, Gianpietro Zambello, Renato |
author_facet | Barilà, Gregorio Bonaldi, Laura Grassi, Angela Martines, Annalisa Liço, Albana Macrì, Nadia Nalio, Silvia Pavan, Laura Berno, Tamara Branca, Antonio Calabretto, Giulia Carrino, Marilena Teramo, Antonella Manni, Sabrina Piazza, Francesco Semenzato, Gianpietro Zambello, Renato |
author_sort | Barilà, Gregorio |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-7026173 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70261732020-03-03 Identification of the true hyperdiploid multiple myeloma subset by combining conventional karyotyping and FISH analysis Barilà, Gregorio Bonaldi, Laura Grassi, Angela Martines, Annalisa Liço, Albana Macrì, Nadia Nalio, Silvia Pavan, Laura Berno, Tamara Branca, Antonio Calabretto, Giulia Carrino, Marilena Teramo, Antonella Manni, Sabrina Piazza, Francesco Semenzato, Gianpietro Zambello, Renato Blood Cancer J Correspondence Nature Publishing Group UK 2020-02-17 /pmc/articles/PMC7026173/ /pubmed/32066724 http://dx.doi.org/10.1038/s41408-020-0285-6 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Correspondence Barilà, Gregorio Bonaldi, Laura Grassi, Angela Martines, Annalisa Liço, Albana Macrì, Nadia Nalio, Silvia Pavan, Laura Berno, Tamara Branca, Antonio Calabretto, Giulia Carrino, Marilena Teramo, Antonella Manni, Sabrina Piazza, Francesco Semenzato, Gianpietro Zambello, Renato Identification of the true hyperdiploid multiple myeloma subset by combining conventional karyotyping and FISH analysis |
title | Identification of the true hyperdiploid multiple myeloma subset by combining conventional karyotyping and FISH analysis |
title_full | Identification of the true hyperdiploid multiple myeloma subset by combining conventional karyotyping and FISH analysis |
title_fullStr | Identification of the true hyperdiploid multiple myeloma subset by combining conventional karyotyping and FISH analysis |
title_full_unstemmed | Identification of the true hyperdiploid multiple myeloma subset by combining conventional karyotyping and FISH analysis |
title_short | Identification of the true hyperdiploid multiple myeloma subset by combining conventional karyotyping and FISH analysis |
title_sort | identification of the true hyperdiploid multiple myeloma subset by combining conventional karyotyping and fish analysis |
topic | Correspondence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7026173/ https://www.ncbi.nlm.nih.gov/pubmed/32066724 http://dx.doi.org/10.1038/s41408-020-0285-6 |
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