A Correlation of FTIR Spectra Derived from Prostate Cancer Biopsies with Gleason Grade and Tumour Stage
We introduce biochemistry as a second dimension to Gleason grading, using Fourier transform infrared (FTIR) microspectroscopy. For the first time, we correlate FTIR spectra derived from prostate cancer (pCA) tissue with Gleason score and the clinical stage of the tumour at time of biopsy. Serial sec...
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| Veröffentlicht in: | European urology 2006-10, Vol.50 (4), p.750-761 |
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| creator | Gazi, Ehsan Baker, Matthew Dwyer, John Lockyer, Nicholas P. Gardner, Peter Shanks, Jonathan H. Reeve, Roy S. Hart, Claire A. Clarke, Noel W. Brown, Michael D. |
| description | We introduce biochemistry as a second dimension to Gleason grading, using Fourier transform infrared (FTIR) microspectroscopy. For the first time, we correlate FTIR spectra derived from prostate cancer (pCA) tissue with Gleason score and the clinical stage of the tumour at time of biopsy.
Serial sections from paraffin-embedded pCA tissue were collected. One was stained with hematoxylin and eosin and Gleason scored; FTIR spectra were collected from malignant locations using a second unstained section. FTIR spectra, representing different Gleason grades, were used to construct a diagnostic classifier for pCA using linear discriminant analysis (LDA). This model was blind tested using 383 IR spectra from 36 biopsies.
Using a three-band Gleason criteria, we obtained sensitivity of ≥70% for the FTIR-LDA model to predict Gleason 7, with specificities of ≥81%. Using a threshold of Gleason/FTIR-LDA score of ≥8, we obtained a sensitivity and specificity of 71% and 67%, respectively, for the correlation with metastatic tumours using the FTIR-LDA system and 85% and 63%, respectively, for the correlation of metastatic tumours using the Gleason system.
There is a correlation between tissue architecture using Gleason score with tissue biochemistry using FTIR-LDA. Both systems are similar in their performance in predicting metastatic behaviour in tumours from individual patients.
Fournier transform infrared (FTIR) microspectroscopy is used to grade prostate cancer tissue. Correlation exists between tissue architecture using Gleason score with tissue biochemistry using FTIR. Both systems are similar in predicting metastatic behaviour in tumours from individual patients. |
| doi_str_mv | 10.1016/j.eururo.2006.03.031 |
| format | Article |
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Serial sections from paraffin-embedded pCA tissue were collected. One was stained with hematoxylin and eosin and Gleason scored; FTIR spectra were collected from malignant locations using a second unstained section. FTIR spectra, representing different Gleason grades, were used to construct a diagnostic classifier for pCA using linear discriminant analysis (LDA). This model was blind tested using 383 IR spectra from 36 biopsies.
Using a three-band Gleason criteria, we obtained sensitivity of ≥70% for the FTIR-LDA model to predict Gleason <7,=7, and >7, with specificities of ≥81%. Using a threshold of Gleason/FTIR-LDA score of ≥8, we obtained a sensitivity and specificity of 71% and 67%, respectively, for the correlation with metastatic tumours using the FTIR-LDA system and 85% and 63%, respectively, for the correlation of metastatic tumours using the Gleason system.
There is a correlation between tissue architecture using Gleason score with tissue biochemistry using FTIR-LDA. Both systems are similar in their performance in predicting metastatic behaviour in tumours from individual patients.
Fournier transform infrared (FTIR) microspectroscopy is used to grade prostate cancer tissue. Correlation exists between tissue architecture using Gleason score with tissue biochemistry using FTIR. Both systems are similar in predicting metastatic behaviour in tumours from individual patients.</description><identifier>ISSN: 0302-2838</identifier><identifier>EISSN: 1873-7560</identifier><identifier>DOI: 10.1016/j.eururo.2006.03.031</identifier><identifier>PMID: 16632188</identifier><identifier>CODEN: EUURAV</identifier><language>eng</language><publisher>Oxford: Elsevier B.V</publisher><subject>Biological and medical sciences ; Biopsy ; Fourier Analysis ; FTIR microspectroscopy ; Gleason grade ; Gynecology. Andrology. Obstetrics ; Humans ; Male ; Male genital diseases ; Medical sciences ; Molecular diagnosis ; Multivariate analysis ; Neoplasm Staging ; Nephrology. Urinary tract diseases ; Prostate cancer ; Prostatic Neoplasms - pathology ; Tumors ; Tumors of the urinary system ; Tumour stage ; Urinary tract. Prostate gland</subject><ispartof>European urology, 2006-10, Vol.50 (4), p.750-761</ispartof><rights>2006 European Association of Urology</rights><rights>2006 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c436t-7e6165195181c369ddfefa1130547a06a5134c19a668049d45786d33902041003</citedby><cites>FETCH-LOGICAL-c436t-7e6165195181c369ddfefa1130547a06a5134c19a668049d45786d33902041003</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.eururo.2006.03.031$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18109959$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16632188$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gazi, Ehsan</creatorcontrib><creatorcontrib>Baker, Matthew</creatorcontrib><creatorcontrib>Dwyer, John</creatorcontrib><creatorcontrib>Lockyer, Nicholas P.</creatorcontrib><creatorcontrib>Gardner, Peter</creatorcontrib><creatorcontrib>Shanks, Jonathan H.</creatorcontrib><creatorcontrib>Reeve, Roy S.</creatorcontrib><creatorcontrib>Hart, Claire A.</creatorcontrib><creatorcontrib>Clarke, Noel W.</creatorcontrib><creatorcontrib>Brown, Michael D.</creatorcontrib><title>A Correlation of FTIR Spectra Derived from Prostate Cancer Biopsies with Gleason Grade and Tumour Stage</title><title>European urology</title><addtitle>Eur Urol</addtitle><description>We introduce biochemistry as a second dimension to Gleason grading, using Fourier transform infrared (FTIR) microspectroscopy. For the first time, we correlate FTIR spectra derived from prostate cancer (pCA) tissue with Gleason score and the clinical stage of the tumour at time of biopsy.
Serial sections from paraffin-embedded pCA tissue were collected. One was stained with hematoxylin and eosin and Gleason scored; FTIR spectra were collected from malignant locations using a second unstained section. FTIR spectra, representing different Gleason grades, were used to construct a diagnostic classifier for pCA using linear discriminant analysis (LDA). This model was blind tested using 383 IR spectra from 36 biopsies.
Using a three-band Gleason criteria, we obtained sensitivity of ≥70% for the FTIR-LDA model to predict Gleason <7,=7, and >7, with specificities of ≥81%. Using a threshold of Gleason/FTIR-LDA score of ≥8, we obtained a sensitivity and specificity of 71% and 67%, respectively, for the correlation with metastatic tumours using the FTIR-LDA system and 85% and 63%, respectively, for the correlation of metastatic tumours using the Gleason system.
There is a correlation between tissue architecture using Gleason score with tissue biochemistry using FTIR-LDA. Both systems are similar in their performance in predicting metastatic behaviour in tumours from individual patients.
Fournier transform infrared (FTIR) microspectroscopy is used to grade prostate cancer tissue. Correlation exists between tissue architecture using Gleason score with tissue biochemistry using FTIR. Both systems are similar in predicting metastatic behaviour in tumours from individual patients.</description><subject>Biological and medical sciences</subject><subject>Biopsy</subject><subject>Fourier Analysis</subject><subject>FTIR microspectroscopy</subject><subject>Gleason grade</subject><subject>Gynecology. Andrology. Obstetrics</subject><subject>Humans</subject><subject>Male</subject><subject>Male genital diseases</subject><subject>Medical sciences</subject><subject>Molecular diagnosis</subject><subject>Multivariate analysis</subject><subject>Neoplasm Staging</subject><subject>Nephrology. Urinary tract diseases</subject><subject>Prostate cancer</subject><subject>Prostatic Neoplasms - pathology</subject><subject>Tumors</subject><subject>Tumors of the urinary system</subject><subject>Tumour stage</subject><subject>Urinary tract. Prostate gland</subject><issn>0302-2838</issn><issn>1873-7560</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kVFrFDEQx4Mo9jz9BiJ50bc9ZzbZbPZFqFd7FgoVez6HmMzWHLuXM9lt8ds35Q76JgzMy2_-zPyGsfcIKwRUn3crmtOc4qoGUCsQpfAFW6BuRdU2Cl6yBQioq1oLfcbe5LwDANF04jU7Q6VEjVov2N05X8eUaLBTiHsee365vfrJbw_kpmT5BaVwT573KY78R4p5shPxtd07SvxriIccKPOHMP3hm4FsLhGbZD1xu_d8O49xTvx2snf0lr3q7ZDp3akv2a_Lb9v19-r6ZnO1Pr-unBRqqlpSqBrsGtTohOq876m3iAIa2VpQtkEhHXZWKQ2y87JptfJCdFCDxHLfkn065h5S_DtTnswYsqNhsHuKczZKaynbui2gPIKuXJUT9eaQwmjTP4NgngSbnTkKNk-CDYhSWMY-nPLn3yP556GT0QJ8PAE2Ozv0qbgK-ZnTCF1XvrBkX44cFRv3gZLJLlDx6kMq7o2P4f-bPAImE5kU</recordid><startdate>20061001</startdate><enddate>20061001</enddate><creator>Gazi, Ehsan</creator><creator>Baker, Matthew</creator><creator>Dwyer, John</creator><creator>Lockyer, Nicholas P.</creator><creator>Gardner, Peter</creator><creator>Shanks, Jonathan H.</creator><creator>Reeve, Roy S.</creator><creator>Hart, Claire A.</creator><creator>Clarke, Noel W.</creator><creator>Brown, Michael D.</creator><general>Elsevier B.V</general><general>Elsevier</general><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>7X8</scope></search><sort><creationdate>20061001</creationdate><title>A Correlation of FTIR Spectra Derived from Prostate Cancer Biopsies with Gleason Grade and Tumour Stage</title><author>Gazi, Ehsan ; Baker, Matthew ; Dwyer, John ; Lockyer, Nicholas P. ; Gardner, Peter ; Shanks, Jonathan H. ; Reeve, Roy S. ; Hart, Claire A. ; Clarke, Noel W. ; Brown, Michael D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c436t-7e6165195181c369ddfefa1130547a06a5134c19a668049d45786d33902041003</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Biological and medical sciences</topic><topic>Biopsy</topic><topic>Fourier Analysis</topic><topic>FTIR microspectroscopy</topic><topic>Gleason grade</topic><topic>Gynecology. Andrology. Obstetrics</topic><topic>Humans</topic><topic>Male</topic><topic>Male genital diseases</topic><topic>Medical sciences</topic><topic>Molecular diagnosis</topic><topic>Multivariate analysis</topic><topic>Neoplasm Staging</topic><topic>Nephrology. Urinary tract diseases</topic><topic>Prostate cancer</topic><topic>Prostatic Neoplasms - pathology</topic><topic>Tumors</topic><topic>Tumors of the urinary system</topic><topic>Tumour stage</topic><topic>Urinary tract. Prostate gland</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gazi, Ehsan</creatorcontrib><creatorcontrib>Baker, Matthew</creatorcontrib><creatorcontrib>Dwyer, John</creatorcontrib><creatorcontrib>Lockyer, Nicholas P.</creatorcontrib><creatorcontrib>Gardner, Peter</creatorcontrib><creatorcontrib>Shanks, Jonathan H.</creatorcontrib><creatorcontrib>Reeve, Roy S.</creatorcontrib><creatorcontrib>Hart, Claire A.</creatorcontrib><creatorcontrib>Clarke, Noel W.</creatorcontrib><creatorcontrib>Brown, Michael D.</creatorcontrib><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>MEDLINE - Academic</collection><jtitle>European urology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gazi, Ehsan</au><au>Baker, Matthew</au><au>Dwyer, John</au><au>Lockyer, Nicholas P.</au><au>Gardner, Peter</au><au>Shanks, Jonathan H.</au><au>Reeve, Roy S.</au><au>Hart, Claire A.</au><au>Clarke, Noel W.</au><au>Brown, Michael D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Correlation of FTIR Spectra Derived from Prostate Cancer Biopsies with Gleason Grade and Tumour Stage</atitle><jtitle>European urology</jtitle><addtitle>Eur Urol</addtitle><date>2006-10-01</date><risdate>2006</risdate><volume>50</volume><issue>4</issue><spage>750</spage><epage>761</epage><pages>750-761</pages><issn>0302-2838</issn><eissn>1873-7560</eissn><coden>EUURAV</coden><abstract>We introduce biochemistry as a second dimension to Gleason grading, using Fourier transform infrared (FTIR) microspectroscopy. For the first time, we correlate FTIR spectra derived from prostate cancer (pCA) tissue with Gleason score and the clinical stage of the tumour at time of biopsy.
Serial sections from paraffin-embedded pCA tissue were collected. One was stained with hematoxylin and eosin and Gleason scored; FTIR spectra were collected from malignant locations using a second unstained section. FTIR spectra, representing different Gleason grades, were used to construct a diagnostic classifier for pCA using linear discriminant analysis (LDA). This model was blind tested using 383 IR spectra from 36 biopsies.
Using a three-band Gleason criteria, we obtained sensitivity of ≥70% for the FTIR-LDA model to predict Gleason <7,=7, and >7, with specificities of ≥81%. Using a threshold of Gleason/FTIR-LDA score of ≥8, we obtained a sensitivity and specificity of 71% and 67%, respectively, for the correlation with metastatic tumours using the FTIR-LDA system and 85% and 63%, respectively, for the correlation of metastatic tumours using the Gleason system.
There is a correlation between tissue architecture using Gleason score with tissue biochemistry using FTIR-LDA. Both systems are similar in their performance in predicting metastatic behaviour in tumours from individual patients.
Fournier transform infrared (FTIR) microspectroscopy is used to grade prostate cancer tissue. Correlation exists between tissue architecture using Gleason score with tissue biochemistry using FTIR. Both systems are similar in predicting metastatic behaviour in tumours from individual patients.</abstract><cop>Oxford</cop><pub>Elsevier B.V</pub><pmid>16632188</pmid><doi>10.1016/j.eururo.2006.03.031</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | European urology, 2006-10, Vol.50 (4), p.750-761 |
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| subjects | Biological and medical sciences Biopsy Fourier Analysis FTIR microspectroscopy Gleason grade Gynecology. Andrology. Obstetrics Humans Male Male genital diseases Medical sciences Molecular diagnosis Multivariate analysis Neoplasm Staging Nephrology. Urinary tract diseases Prostate cancer Prostatic Neoplasms - pathology Tumors Tumors of the urinary system Tumour stage Urinary tract. Prostate gland |
| title | A Correlation of FTIR Spectra Derived from Prostate Cancer Biopsies with Gleason Grade and Tumour Stage |
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