17 lines
6.9 KiB
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17 lines
6.9 KiB
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<?xml version="1.0" encoding="UTF-8"?><oai:record xmlns:datacite="http://datacite.org/schema/kernel-4" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dr="http://www.driver-repository.eu/namespace/dr" xmlns:dri="http://www.driver-repository.eu/namespace/dri" xmlns:oaf="http://namespace.openaire.eu/oaf" xmlns:oai="http://www.openarchives.org/OAI/2.0/" xmlns:oaire="http://namespace.openaire.eu/schema/oaire/" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><oai:header><oai:identifier>10.12688/f1000research.9091.2</oai:identifier><oai:datestamp>2021-09-28T15:17:39.54796799+02:00</oai:datestamp></oai:header><metadata><article xmlns:ali="http://www.niso.org/schemas/ali/1.0" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article"><front><journal-meta xmlns:ali="http://www.niso.org/schemas/ali/1.0/"><journal-id journal-id-type="pmc">F1000Research</journal-id><journal-title-group><journal-title>F1000Research</journal-title></journal-title-group><issn pub-type="epub">2046-1402</issn><publisher><publisher-name>F1000 Research Limited</publisher-name><publisher-loc>London, UK</publisher-loc></publisher></journal-meta><article-meta xmlns:ali="http://www.niso.org/schemas/ali/1.0/"><article-id pub-id-type="doi">10.12688/f1000research.9091.2</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Note</subject></subj-group><subj-group><subject>Articles</subject><subj-group><subject>Genitourinary Cancers</subject></subj-group><subj-group><subject>Methods for Diagnostic & Therapeutic Studies</subject></subj-group></subj-group></article-categories><title-group><article-title>A multi-site cutting device implements efficiently the divide-and-conquer strategy in tumor sampling</article-title><fn-group content-type="pub-status"><fn><p>[version 2; peer review: 2 approved, 1 approved with reservations]</p></fn></fn-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name name-style="western"><surname>Lopez</surname><given-names>Jose I.</given-names></name><xref ref-type="corresp" rid="c1">a</xref><xref ref-type="aff" rid="a1">1</xref><xref ref-type="aff" rid="a2">2</xref><xref ref-type="aff" rid="a3">3</xref></contrib><contrib contrib-type="author" corresp="yes"><name name-style="western"><surname>Cortes</surname><given-names>Jesus M.</given-names></name><xref ref-type="corresp" rid="c2">b</xref><xref ref-type="aff" rid="a4">4</xref><xref ref-type="aff" rid="a5">5</xref><xref ref-type="aff" rid="a6">6</xref></contrib><aff id="a1">
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<label>1</label>Department of Pathology, Cruces University Hospital, Barakaldo, Spain</aff><aff id="a2">
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<label>2</label>Biomarkers in Cancer Unit, Biocruces Research Institute, Barakaldo, Spain</aff><aff id="a3">
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<label>3</label>University of the Basque Country, Leioa, Spain</aff><aff id="a4">
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<label>4</label>Quantitative Biomedicine Unit, Biocruces Research Institute, Barakaldo, Spain</aff><aff id="a5">
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<label>5</label>Ikerbasque: The Basque Foundation for Science, Bilbao, Spain</aff><aff id="a6">
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<label>6</label>Department of Cell Biology and Histology, University of the Basque Country, Leioa, Spain</aff></contrib-group><author-notes><corresp id="c1">
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<label>a</label>
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<email xlink:href="mailto:joseignacio.lopez@osakidetza.eus">joseignacio.lopez@osakidetza.eus</email>
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</corresp><corresp id="c2">
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<label>b</label>
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<email xlink:href="mailto:jesus.m.cortes@gmail.com">jesus.m.cortes@gmail.com</email>
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</corresp><fn fn-type="con"><p>JIL and JMC identified the problem and gave a realistic solution. JIL and JMC wrote this note.</p></fn><fn fn-type="conflict"><p>
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<bold>Competing interests: </bold>No competing interests were disclosed.</p></fn></author-notes><pub-date pub-type="epub"><day>26</day><month>7</month><year>2016</year></pub-date><pub-date pub-type="collection"><year>2016</year></pub-date><volume>5</volume><elocation-id>1587</elocation-id><history><date date-type="accepted"><day>25</day><month>7</month><year>2016</year></date></history><permissions><copyright-statement>Copyright: © 2016 Lopez JI and Cortes JM</copyright-statement><copyright-year>2016</copyright-year><license xlink:href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions><self-uri content-type="pdf" xlink:href="https://f1000researchdata.s3.amazonaws.com/manuscripts/9998/7ac6d72c-7dd6-42bd-8710-09ea4569c295_9091_-_jesus_cortes_v2.pdf"/><abstract><p>We recently showed that in order to detect intra-tumor heterogeneity a Divide-and-Conquer (DAC) strategy of tumor sampling outperforms current routine protocols. This paper is a continuation of this work, but here we focus on DAC implementation in the Pathology Laboratory. In particular, we describe a new simple method that makes use of a cutting grid device and is applied to clear cell renal cell carcinomas for DAC implementation. This method assures a thorough sampling of large surgical specimens, facilitates the demonstration of intratumor heterogeneity, and saves time to pathologists in the daily practice. The method involves the following steps: 1. Thin slicing of the tumor (by hand or machine), 2. Application of a cutting grid to the slices (
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<italic toggle="yes">e.g</italic>., a French fry cutter), resulting in multiple tissue cubes with fixed position within the slice, 3. Selection of tissue cubes for analysis, and finally, 4. Inclusion of selected cubes into a cassette for histological processing (with about eight tissue fragments within each cassette). Thus, using our approach in a 10 cm in-diameter-tumor we generate 80 tumor tissue fragments placed in 10 cassettes and, notably, in a tenth of time. Eighty samples obtained across all the regions of the tumor will assure a much higher performance in detecting intratumor heterogeneity, as proved recently with synthetic data.</p></abstract><kwd-group kwd-group-type="author"><kwd>Tumor sampling</kwd><kwd>cutting grid</kwd><kwd>divide and conquer</kwd><kwd>clear cell renal cell carcinoma</kwd><kwd>intratumor heterogeneity</kwd><kwd>pathology routine</kwd></kwd-group><funding-group><funding-statement>JMC is funded by Ikerbasque: The Basque Foundation for Science.</funding-statement><funding-statement>
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<italic toggle="yes">The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic>
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</funding-statement></funding-group></article-meta></front></article></metadata></oai:record> |