Identification of diagnostic serum protein profiles of glioblastoma patients
Diagnosis of a glioblastoma (GBM) is triggered by the onset of symptoms and is based on cerebral imaging and histological examination. Serum-based biomarkers may support detection of GBM. Here, we explored serum protein concentrations of GBM patients and used data mining to explore profiles of bioma...
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| Veröffentlicht in: | Journal of neuro-oncology 2011-03, Vol.102 (1), p.71-80 |
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| creator | Elstner, Anja Stockhammer, Florian Nguyen-Dobinsky, Trong-Nghia Nguyen, Quang Long Pilgermann, Ingo Gill, Amanjit Guhr, Anke Zhang, Tingguo von Eckardstein, Kajetan Picht, Thomas Veelken, Julian Martuza, Robert L. von Deimling, Andreas Kurtz, Andreas |
| description | Diagnosis of a glioblastoma (GBM) is triggered by the onset of symptoms and is based on cerebral imaging and histological examination. Serum-based biomarkers may support detection of GBM. Here, we explored serum protein concentrations of GBM patients and used data mining to explore profiles of biomarkers and determine whether these are associated with the clinical status of the patients. Gene and protein expression data for astrocytoma and GBM were used to identify secreted proteins differently expressed in tumors and in normal brain tissues. Tumor expression and serum concentrations of 14 candidate proteins were analyzed for 23 GBM patients and nine healthy subjects. Data-mining methods involving all 14 proteins were used as an initial evaluation step to find clinically informative profiles. Data mining identified a serum protein profile formed by BMP2, HSP70, and CXCL10 that enabled correct assignment to the GBM group with specificity and sensitivity of 89 and 96%, respectively (
p
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| doi_str_mv | 10.1007/s11060-010-0284-8 |
| format | Article |
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p
< 0.0001, Fischer’s exact test). Survival for more than 15 months after tumor resection was associated with a profile formed by TSP1, HSP70, and IGFBP3, enabling correct assignment in all cases (
p
< 0.0001, Fischer’s exact test). No correlation was found with tumor size or age of the patient. This study shows that robust serum profiles for GBM may be identified by data mining on the basis of a relatively small study cohort. Profiles of more than one biomarker enable more specific assignment to the GBM and survival group than those based on single proteins, confirming earlier attempts to correlate single markers with cancer. These conceptual findings will be a basis for validation in a larger sample size.</description><identifier>ISSN: 0167-594X</identifier><identifier>EISSN: 1573-7373</identifier><identifier>DOI: 10.1007/s11060-010-0284-8</identifier><identifier>PMID: 20617365</identifier><language>eng</language><publisher>Boston: Springer US</publisher><subject>Adult ; Aged ; Biomarkers, Tumor - blood ; Blood Proteins - metabolism ; Brain - metabolism ; Brain Neoplasms - blood ; Brain Neoplasms - diagnosis ; Case-Control Studies ; Clinical Study – Patient Study ; Female ; Glioblastoma - blood ; Glioblastoma - diagnosis ; Humans ; Immunoenzyme Techniques ; Magnetic Resonance Imaging ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Neurology ; Oncology ; Prognosis ; Proteomics ; Survival Rate ; Young Adult</subject><ispartof>Journal of neuro-oncology, 2011-03, Vol.102 (1), p.71-80</ispartof><rights>Springer Science+Business Media, LLC. 2010</rights><rights>Springer Science+Business Media, LLC. 2011</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c566t-2a943a073b8dd777ea99a37b8898e5865c64a5e926917077f9660438a413de193</citedby><cites>FETCH-LOGICAL-c566t-2a943a073b8dd777ea99a37b8898e5865c64a5e926917077f9660438a413de193</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11060-010-0284-8$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11060-010-0284-8$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20617365$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Elstner, Anja</creatorcontrib><creatorcontrib>Stockhammer, Florian</creatorcontrib><creatorcontrib>Nguyen-Dobinsky, Trong-Nghia</creatorcontrib><creatorcontrib>Nguyen, Quang Long</creatorcontrib><creatorcontrib>Pilgermann, Ingo</creatorcontrib><creatorcontrib>Gill, Amanjit</creatorcontrib><creatorcontrib>Guhr, Anke</creatorcontrib><creatorcontrib>Zhang, Tingguo</creatorcontrib><creatorcontrib>von Eckardstein, Kajetan</creatorcontrib><creatorcontrib>Picht, Thomas</creatorcontrib><creatorcontrib>Veelken, Julian</creatorcontrib><creatorcontrib>Martuza, Robert L.</creatorcontrib><creatorcontrib>von Deimling, Andreas</creatorcontrib><creatorcontrib>Kurtz, Andreas</creatorcontrib><title>Identification of diagnostic serum protein profiles of glioblastoma patients</title><title>Journal of neuro-oncology</title><addtitle>J Neurooncol</addtitle><addtitle>J Neurooncol</addtitle><description>Diagnosis of a glioblastoma (GBM) is triggered by the onset of symptoms and is based on cerebral imaging and histological examination. Serum-based biomarkers may support detection of GBM. Here, we explored serum protein concentrations of GBM patients and used data mining to explore profiles of biomarkers and determine whether these are associated with the clinical status of the patients. Gene and protein expression data for astrocytoma and GBM were used to identify secreted proteins differently expressed in tumors and in normal brain tissues. Tumor expression and serum concentrations of 14 candidate proteins were analyzed for 23 GBM patients and nine healthy subjects. Data-mining methods involving all 14 proteins were used as an initial evaluation step to find clinically informative profiles. Data mining identified a serum protein profile formed by BMP2, HSP70, and CXCL10 that enabled correct assignment to the GBM group with specificity and sensitivity of 89 and 96%, respectively (
p
< 0.0001, Fischer’s exact test). Survival for more than 15 months after tumor resection was associated with a profile formed by TSP1, HSP70, and IGFBP3, enabling correct assignment in all cases (
p
< 0.0001, Fischer’s exact test). No correlation was found with tumor size or age of the patient. This study shows that robust serum profiles for GBM may be identified by data mining on the basis of a relatively small study cohort. Profiles of more than one biomarker enable more specific assignment to the GBM and survival group than those based on single proteins, confirming earlier attempts to correlate single markers with cancer. These conceptual findings will be a basis for validation in a larger sample size.</description><subject>Adult</subject><subject>Aged</subject><subject>Biomarkers, Tumor - blood</subject><subject>Blood Proteins - metabolism</subject><subject>Brain - metabolism</subject><subject>Brain Neoplasms - blood</subject><subject>Brain Neoplasms - diagnosis</subject><subject>Case-Control Studies</subject><subject>Clinical Study – Patient Study</subject><subject>Female</subject><subject>Glioblastoma - blood</subject><subject>Glioblastoma - diagnosis</subject><subject>Humans</subject><subject>Immunoenzyme Techniques</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Neurology</subject><subject>Oncology</subject><subject>Prognosis</subject><subject>Proteomics</subject><subject>Survival Rate</subject><subject>Young Adult</subject><issn>0167-594X</issn><issn>1573-7373</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqFkU9r3DAQxUVoaLZJP0AvxfTSkxuN_o10CYTQpoGFXFrITWhteatgWxvJDuTbV2bTpA2UHMQc5vfezOgR8gHoF6AUTzMAVbSmUB7TotYHZAUSeY0c-RuyoqCwlkbcHJF3Od9SSgVyeEuOGFWAXMkVWV-1fpxCFxo3hThWsava4LZjzFNoquzTPFS7FCcfxqV2ofd5gbZ9iJve5SkOrtoVbXHJJ-Swc3327x_rMfn57euPi-_1-vry6uJ8XTdSqalmzgjuKPKNbltE9M4Yx3GjtdFeaiUbJZz0hikDSBE7oxQVXDsBvPVg-DE52_vu5s3g26bMTq63uxQGlx5sdMH-2xnDL7uN95ZTI6SSxeDzo0GKd7PPkx1Cbnzfu9HHOVsjhQIugL1KaskZExoX8tML8jbOaSz_UCCGoMp1BYI91KSYc_Ld09JA7ZKp3WdqS6Z2ydQumo9_X_uk-BNiAdgeyKU1bn16nvx_19_hLaxj</recordid><startdate>20110301</startdate><enddate>20110301</enddate><creator>Elstner, Anja</creator><creator>Stockhammer, Florian</creator><creator>Nguyen-Dobinsky, Trong-Nghia</creator><creator>Nguyen, Quang Long</creator><creator>Pilgermann, Ingo</creator><creator>Gill, Amanjit</creator><creator>Guhr, Anke</creator><creator>Zhang, Tingguo</creator><creator>von Eckardstein, Kajetan</creator><creator>Picht, Thomas</creator><creator>Veelken, Julian</creator><creator>Martuza, Robert L.</creator><creator>von Deimling, Andreas</creator><creator>Kurtz, Andreas</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>C6C</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>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20110301</creationdate><title>Identification of diagnostic serum protein profiles of glioblastoma patients</title><author>Elstner, Anja ; 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Serum-based biomarkers may support detection of GBM. Here, we explored serum protein concentrations of GBM patients and used data mining to explore profiles of biomarkers and determine whether these are associated with the clinical status of the patients. Gene and protein expression data for astrocytoma and GBM were used to identify secreted proteins differently expressed in tumors and in normal brain tissues. Tumor expression and serum concentrations of 14 candidate proteins were analyzed for 23 GBM patients and nine healthy subjects. Data-mining methods involving all 14 proteins were used as an initial evaluation step to find clinically informative profiles. Data mining identified a serum protein profile formed by BMP2, HSP70, and CXCL10 that enabled correct assignment to the GBM group with specificity and sensitivity of 89 and 96%, respectively (
p
< 0.0001, Fischer’s exact test). Survival for more than 15 months after tumor resection was associated with a profile formed by TSP1, HSP70, and IGFBP3, enabling correct assignment in all cases (
p
< 0.0001, Fischer’s exact test). No correlation was found with tumor size or age of the patient. This study shows that robust serum profiles for GBM may be identified by data mining on the basis of a relatively small study cohort. Profiles of more than one biomarker enable more specific assignment to the GBM and survival group than those based on single proteins, confirming earlier attempts to correlate single markers with cancer. These conceptual findings will be a basis for validation in a larger sample size.</abstract><cop>Boston</cop><pub>Springer US</pub><pmid>20617365</pmid><doi>10.1007/s11060-010-0284-8</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Adult Aged Biomarkers, Tumor - blood Blood Proteins - metabolism Brain - metabolism Brain Neoplasms - blood Brain Neoplasms - diagnosis Case-Control Studies Clinical Study – Patient Study Female Glioblastoma - blood Glioblastoma - diagnosis Humans Immunoenzyme Techniques Magnetic Resonance Imaging Male Medicine Medicine & Public Health Middle Aged Neurology Oncology Prognosis Proteomics Survival Rate Young Adult |
| title | Identification of diagnostic serum protein profiles of glioblastoma patients |
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