IR spectral imaging of secreted mucus: a promising new tool for the histopathological recognition of human colonic adenocarcinomas
Travo A, Piot O, Wolthuis R, Gobinet C, Manfait M, Bara J, Forgue‐Lafitte M‐E & Jeannesson P (2010) Histopathology 56, 921–931 IR spectral imaging of secreted mucus: a promising new tool for the histopathological recognition of human colonic adenocarcinomas Aims: During colonic carcinogenesis,...
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| Veröffentlicht in: | Histopathology 2010-06, Vol.56 (7), p.921-931 |
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| creator | Travo, Adrian Piot, Olivier Wolthuis, Rolf Gobinet, Cyril Manfait, Michel Bara, Jacques Forgue-Lafitte, Marie-Elisabeth Jeannesson, Pierre |
| description | Travo A, Piot O, Wolthuis R, Gobinet C, Manfait M, Bara J, Forgue‐Lafitte M‐E & Jeannesson P
(2010) Histopathology 56, 921–931
IR spectral imaging of secreted mucus: a promising new tool for the histopathological recognition of human colonic adenocarcinomas
Aims: During colonic carcinogenesis, mucin‐type glycoproteins are known to undergo quantitative and qualitative alterations. The aim of this study was to determine the value of infrared (IR) spectral histology for the histopathological recognition of colonic adenocarcinomas based on mucin‐associated IR spectral markers.
Methods and results: Paraffin‐embedded tissue sections of normal human colon and adenocarcinomas were analysed directly by IR‐microspectroscopy (IR‐MSP), without prior chemical dewaxing. IR‐MSP imaging combined with multivariate analysis permitted the construction of IR colour‐coded images of the tissue sections providing spatially resolved biochemical information. This allowed localization of mucin‐rich areas and provided label‐free spectral‐based staining of secreted mucus related to the biochemical heterogeneity of its mucin content. IR images of secreted mucus display the same spectral clusters in both normal and adenocarcinomatous colonic tissues, but with significant differences in surface percentages. Such differences allow a distinction between these two tissue types. Spectral variations associated with changes of mucin secondary structure were the most accurate mucus spectral marker for discriminating between normal colon and adenocarcinomas in the sample set.
Conclusions: IR‐MSP imaging provides a new type of histology, independent of visual morphology, presenting tremendous possibilities for discovery and clinical monitoring of cancer markers. |
| doi_str_mv | 10.1111/j.1365-2559.2010.03563.x |
| format | Article |
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(2010) Histopathology 56, 921–931
IR spectral imaging of secreted mucus: a promising new tool for the histopathological recognition of human colonic adenocarcinomas
Aims: During colonic carcinogenesis, mucin‐type glycoproteins are known to undergo quantitative and qualitative alterations. The aim of this study was to determine the value of infrared (IR) spectral histology for the histopathological recognition of colonic adenocarcinomas based on mucin‐associated IR spectral markers.
Methods and results: Paraffin‐embedded tissue sections of normal human colon and adenocarcinomas were analysed directly by IR‐microspectroscopy (IR‐MSP), without prior chemical dewaxing. IR‐MSP imaging combined with multivariate analysis permitted the construction of IR colour‐coded images of the tissue sections providing spatially resolved biochemical information. This allowed localization of mucin‐rich areas and provided label‐free spectral‐based staining of secreted mucus related to the biochemical heterogeneity of its mucin content. IR images of secreted mucus display the same spectral clusters in both normal and adenocarcinomatous colonic tissues, but with significant differences in surface percentages. Such differences allow a distinction between these two tissue types. Spectral variations associated with changes of mucin secondary structure were the most accurate mucus spectral marker for discriminating between normal colon and adenocarcinomas in the sample set.
Conclusions: IR‐MSP imaging provides a new type of histology, independent of visual morphology, presenting tremendous possibilities for discovery and clinical monitoring of cancer markers.</description><identifier>ISSN: 0309-0167</identifier><identifier>EISSN: 1365-2559</identifier><identifier>DOI: 10.1111/j.1365-2559.2010.03563.x</identifier><identifier>PMID: 20500531</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Adenocarcinoma - metabolism ; Adenocarcinoma - pathology ; Biological and medical sciences ; Cluster Analysis ; Colon - metabolism ; Colon - pathology ; Colon - secretion ; colonic cancer ; Colonic Neoplasms - metabolism ; Colonic Neoplasms - pathology ; Diagnostic Imaging - methods ; Gastroenterology. Liver. Pancreas. Abdomen ; Humans ; Investigative techniques, diagnostic techniques (general aspects) ; IR imaging ; Medical sciences ; microspectroscopy ; mucin ; Mucus - metabolism ; Mucus - secretion ; Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques ; Spectroscopy, Fourier Transform Infrared - methods ; Statistics, Nonparametric ; Stomach. Duodenum. Small intestine. Colon. Rectum. Anus ; Tumors</subject><ispartof>Histopathology, 2010-06, Vol.56 (7), p.921-931</ispartof><rights>2010 Blackwell Publishing Limited</rights><rights>2015 INIST-CNRS</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5363-4c7b590b1e4d66eb285b2846aebac8ea85f3385a2d19d211d90fd6ff081951ab3</citedby><cites>FETCH-LOGICAL-c5363-4c7b590b1e4d66eb285b2846aebac8ea85f3385a2d19d211d90fd6ff081951ab3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fj.1365-2559.2010.03563.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1365-2559.2010.03563.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,315,781,785,886,1418,27929,27930,45579,45580</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22885767$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20500531$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-00505068$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Travo, Adrian</creatorcontrib><creatorcontrib>Piot, Olivier</creatorcontrib><creatorcontrib>Wolthuis, Rolf</creatorcontrib><creatorcontrib>Gobinet, Cyril</creatorcontrib><creatorcontrib>Manfait, Michel</creatorcontrib><creatorcontrib>Bara, Jacques</creatorcontrib><creatorcontrib>Forgue-Lafitte, Marie-Elisabeth</creatorcontrib><creatorcontrib>Jeannesson, Pierre</creatorcontrib><title>IR spectral imaging of secreted mucus: a promising new tool for the histopathological recognition of human colonic adenocarcinomas</title><title>Histopathology</title><addtitle>Histopathology</addtitle><description>Travo A, Piot O, Wolthuis R, Gobinet C, Manfait M, Bara J, Forgue‐Lafitte M‐E & Jeannesson P
(2010) Histopathology 56, 921–931
IR spectral imaging of secreted mucus: a promising new tool for the histopathological recognition of human colonic adenocarcinomas
Aims: During colonic carcinogenesis, mucin‐type glycoproteins are known to undergo quantitative and qualitative alterations. The aim of this study was to determine the value of infrared (IR) spectral histology for the histopathological recognition of colonic adenocarcinomas based on mucin‐associated IR spectral markers.
Methods and results: Paraffin‐embedded tissue sections of normal human colon and adenocarcinomas were analysed directly by IR‐microspectroscopy (IR‐MSP), without prior chemical dewaxing. IR‐MSP imaging combined with multivariate analysis permitted the construction of IR colour‐coded images of the tissue sections providing spatially resolved biochemical information. This allowed localization of mucin‐rich areas and provided label‐free spectral‐based staining of secreted mucus related to the biochemical heterogeneity of its mucin content. IR images of secreted mucus display the same spectral clusters in both normal and adenocarcinomatous colonic tissues, but with significant differences in surface percentages. Such differences allow a distinction between these two tissue types. Spectral variations associated with changes of mucin secondary structure were the most accurate mucus spectral marker for discriminating between normal colon and adenocarcinomas in the sample set.
Conclusions: IR‐MSP imaging provides a new type of histology, independent of visual morphology, presenting tremendous possibilities for discovery and clinical monitoring of cancer markers.</description><subject>Adenocarcinoma - metabolism</subject><subject>Adenocarcinoma - pathology</subject><subject>Biological and medical sciences</subject><subject>Cluster Analysis</subject><subject>Colon - metabolism</subject><subject>Colon - pathology</subject><subject>Colon - secretion</subject><subject>colonic cancer</subject><subject>Colonic Neoplasms - metabolism</subject><subject>Colonic Neoplasms - pathology</subject><subject>Diagnostic Imaging - methods</subject><subject>Gastroenterology. Liver. Pancreas. Abdomen</subject><subject>Humans</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>IR imaging</subject><subject>Medical sciences</subject><subject>microspectroscopy</subject><subject>mucin</subject><subject>Mucus - metabolism</subject><subject>Mucus - secretion</subject><subject>Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques</subject><subject>Spectroscopy, Fourier Transform Infrared - methods</subject><subject>Statistics, Nonparametric</subject><subject>Stomach. Duodenum. Small intestine. Colon. Rectum. Anus</subject><subject>Tumors</subject><issn>0309-0167</issn><issn>1365-2559</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNUU1v1DAUtBCIblv-AvKFA4csdrx2HCQObUV3t1qB2vJxtF4cZ-MliSM7S7dXfjkOKcsVW9az3psZ2TMIYUrmNK53uzllgicp5_k8JbFLGBdsfniGZsfBczQjjOQJoSI7Qach7AihGUvTl-gkJZwQzugM_Vrf4dAbPXhosG1ha7stdhUORnszmBK3e70P7zHg3rvWhnHcmQc8ONfgynk81AbXNgyuh6F2jdtaHZW80W7b2cG6blSr9y10WMdxZzWG0nROg9e2cy2Ec_SigiaYV0_1DH29_vjlapVsPi_XVxebRHMmWLLQWcFzUlCzKIUwRSp5PAsBpgAtDUheMSY5pCXNy5TSMidVKaqKSJpzCgU7Q28n3Roa1fv4Wf-oHFi1utiosRctiVvInzRi5YTV3oXgTXUkUKLGCNROjU6r0Wk1RqD-RKAOkfp6ovb7ojXlkfjX8wh48wSAEL2qPHTahn-4VEqeiSziPky4B9uYx_9-gFqt78db5CcTP6ZjDkc--B8qqmdcff-0VLeXcrMkN9_UDfsNU0eyzA</recordid><startdate>201006</startdate><enddate>201006</enddate><creator>Travo, Adrian</creator><creator>Piot, Olivier</creator><creator>Wolthuis, Rolf</creator><creator>Gobinet, Cyril</creator><creator>Manfait, Michel</creator><creator>Bara, Jacques</creator><creator>Forgue-Lafitte, Marie-Elisabeth</creator><creator>Jeannesson, Pierre</creator><general>Blackwell Publishing Ltd</general><general>Blackwell</general><general>Wiley</general><scope>BSCLL</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>1XC</scope></search><sort><creationdate>201006</creationdate><title>IR spectral imaging of secreted mucus: a promising new tool for the histopathological recognition of human colonic adenocarcinomas</title><author>Travo, Adrian ; Piot, Olivier ; Wolthuis, Rolf ; Gobinet, Cyril ; Manfait, Michel ; Bara, Jacques ; Forgue-Lafitte, Marie-Elisabeth ; Jeannesson, Pierre</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5363-4c7b590b1e4d66eb285b2846aebac8ea85f3385a2d19d211d90fd6ff081951ab3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Adenocarcinoma - metabolism</topic><topic>Adenocarcinoma - pathology</topic><topic>Biological and medical sciences</topic><topic>Cluster Analysis</topic><topic>Colon - metabolism</topic><topic>Colon - pathology</topic><topic>Colon - secretion</topic><topic>colonic cancer</topic><topic>Colonic Neoplasms - metabolism</topic><topic>Colonic Neoplasms - pathology</topic><topic>Diagnostic Imaging - methods</topic><topic>Gastroenterology. Liver. Pancreas. Abdomen</topic><topic>Humans</topic><topic>Investigative techniques, diagnostic techniques (general aspects)</topic><topic>IR imaging</topic><topic>Medical sciences</topic><topic>microspectroscopy</topic><topic>mucin</topic><topic>Mucus - metabolism</topic><topic>Mucus - secretion</topic><topic>Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques</topic><topic>Spectroscopy, Fourier Transform Infrared - methods</topic><topic>Statistics, Nonparametric</topic><topic>Stomach. Duodenum. Small intestine. Colon. Rectum. Anus</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Travo, Adrian</creatorcontrib><creatorcontrib>Piot, Olivier</creatorcontrib><creatorcontrib>Wolthuis, Rolf</creatorcontrib><creatorcontrib>Gobinet, Cyril</creatorcontrib><creatorcontrib>Manfait, Michel</creatorcontrib><creatorcontrib>Bara, Jacques</creatorcontrib><creatorcontrib>Forgue-Lafitte, Marie-Elisabeth</creatorcontrib><creatorcontrib>Jeannesson, Pierre</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Histopathology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Travo, Adrian</au><au>Piot, Olivier</au><au>Wolthuis, Rolf</au><au>Gobinet, Cyril</au><au>Manfait, Michel</au><au>Bara, Jacques</au><au>Forgue-Lafitte, Marie-Elisabeth</au><au>Jeannesson, Pierre</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>IR spectral imaging of secreted mucus: a promising new tool for the histopathological recognition of human colonic adenocarcinomas</atitle><jtitle>Histopathology</jtitle><addtitle>Histopathology</addtitle><date>2010-06</date><risdate>2010</risdate><volume>56</volume><issue>7</issue><spage>921</spage><epage>931</epage><pages>921-931</pages><issn>0309-0167</issn><eissn>1365-2559</eissn><abstract>Travo A, Piot O, Wolthuis R, Gobinet C, Manfait M, Bara J, Forgue‐Lafitte M‐E & Jeannesson P
(2010) Histopathology 56, 921–931
IR spectral imaging of secreted mucus: a promising new tool for the histopathological recognition of human colonic adenocarcinomas
Aims: During colonic carcinogenesis, mucin‐type glycoproteins are known to undergo quantitative and qualitative alterations. The aim of this study was to determine the value of infrared (IR) spectral histology for the histopathological recognition of colonic adenocarcinomas based on mucin‐associated IR spectral markers.
Methods and results: Paraffin‐embedded tissue sections of normal human colon and adenocarcinomas were analysed directly by IR‐microspectroscopy (IR‐MSP), without prior chemical dewaxing. IR‐MSP imaging combined with multivariate analysis permitted the construction of IR colour‐coded images of the tissue sections providing spatially resolved biochemical information. This allowed localization of mucin‐rich areas and provided label‐free spectral‐based staining of secreted mucus related to the biochemical heterogeneity of its mucin content. IR images of secreted mucus display the same spectral clusters in both normal and adenocarcinomatous colonic tissues, but with significant differences in surface percentages. Such differences allow a distinction between these two tissue types. Spectral variations associated with changes of mucin secondary structure were the most accurate mucus spectral marker for discriminating between normal colon and adenocarcinomas in the sample set.
Conclusions: IR‐MSP imaging provides a new type of histology, independent of visual morphology, presenting tremendous possibilities for discovery and clinical monitoring of cancer markers.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><pmid>20500531</pmid><doi>10.1111/j.1365-2559.2010.03563.x</doi><tpages>11</tpages></addata></record> |
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| subjects | Adenocarcinoma - metabolism Adenocarcinoma - pathology Biological and medical sciences Cluster Analysis Colon - metabolism Colon - pathology Colon - secretion colonic cancer Colonic Neoplasms - metabolism Colonic Neoplasms - pathology Diagnostic Imaging - methods Gastroenterology. Liver. Pancreas. Abdomen Humans Investigative techniques, diagnostic techniques (general aspects) IR imaging Medical sciences microspectroscopy mucin Mucus - metabolism Mucus - secretion Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques Spectroscopy, Fourier Transform Infrared - methods Statistics, Nonparametric Stomach. Duodenum. Small intestine. Colon. Rectum. Anus Tumors |
| title | IR spectral imaging of secreted mucus: a promising new tool for the histopathological recognition of human colonic adenocarcinomas |
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