Investigations in the possibility of early detection of colorectal cancer by gas chromatography/triple-quadrupole mass spectrometry
In developed countries, the number of patients with colorectal cancer has been increasing, and colorectal cancer is one of the most common causes of cancer death. To improve the quality of life of colorectal cancer patients, it is necessary to establish novel screening methods that would allow early...
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creator | Nishiumi, Shin Kobayashi, Takashi Kawana, Shuichi Unno, Yumi Sakai, Takero Okamoto, Koji Yamada, Yasuhide Sudo, Kazuki Yamaji, Taiki Saito, Yutaka Kanemitsu, Yukihide Okita, Natsuko Tsuda Saito, Hiroshi Tsugane, Shoichiro Azuma, Takeshi Ojima, Noriyuki Yoshida, Masaru |
description | In developed countries, the number of patients with colorectal cancer has been increasing, and colorectal cancer is one of the most common causes of cancer death. To improve the quality of life of colorectal cancer patients, it is necessary to establish novel screening methods that would allow early detection of colorectal cancer. We performed metabolome analysis of a plasma sample set from 282 stage 0/I/II colorectal cancer patients and 291 healthy volunteers using gas chromatography/triple-quadrupole mass spectrometry in an attempt to identify metabolite biomarkers of stage 0/I/II colorectal cancer. The colorectal cancer patients included patients with stage 0 (N=79), I (N=80), and II (N=123) in whom invasion and metastasis were absent. Our analytical system detected 64 metabolites in the plasma samples, and the levels of 29 metabolites differed significantly (Bonferroni-corrected p=0.000781) between the patients and healthy volunteers. Based on these results, a multiple logistic regression analysis of various metabolite biomarkers was carried out, and a stage 0/I/II colorectal cancer prediction model was established. The area under the curve, sensitivity, and specificity values of this model for detecting stage 0/I/II colorectal cancer were 0.996, 99.3%, and 93.8%, respectively. The model's sensitivity and specificity values for each disease stage were >90%, and surprisingly, its sensitivity for stage 0, specificity for stage 0, and sensitivity for stage II disease were all 100%. Our predictive model can aid early detection of colorectal cancer and has potential as a novel screening test for cases of colorectal cancer that do not involve lymph node or distant metastasis. |
doi_str_mv | 10.18632/oncotarget.15081 |
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To improve the quality of life of colorectal cancer patients, it is necessary to establish novel screening methods that would allow early detection of colorectal cancer. We performed metabolome analysis of a plasma sample set from 282 stage 0/I/II colorectal cancer patients and 291 healthy volunteers using gas chromatography/triple-quadrupole mass spectrometry in an attempt to identify metabolite biomarkers of stage 0/I/II colorectal cancer. The colorectal cancer patients included patients with stage 0 (N=79), I (N=80), and II (N=123) in whom invasion and metastasis were absent. Our analytical system detected 64 metabolites in the plasma samples, and the levels of 29 metabolites differed significantly (Bonferroni-corrected p=0.000781) between the patients and healthy volunteers. Based on these results, a multiple logistic regression analysis of various metabolite biomarkers was carried out, and a stage 0/I/II colorectal cancer prediction model was established. The area under the curve, sensitivity, and specificity values of this model for detecting stage 0/I/II colorectal cancer were 0.996, 99.3%, and 93.8%, respectively. The model's sensitivity and specificity values for each disease stage were >90%, and surprisingly, its sensitivity for stage 0, specificity for stage 0, and sensitivity for stage II disease were all 100%. Our predictive model can aid early detection of colorectal cancer and has potential as a novel screening test for cases of colorectal cancer that do not involve lymph node or distant metastasis.</description><identifier>ISSN: 1949-2553</identifier><identifier>EISSN: 1949-2553</identifier><identifier>DOI: 10.18632/oncotarget.15081</identifier><identifier>PMID: 28179577</identifier><language>eng</language><publisher>United States: Impact Journals LLC</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Biomarkers, Tumor - blood ; Biomarkers, Tumor - metabolism ; Colorectal Neoplasms - blood ; Colorectal Neoplasms - diagnosis ; Colorectal Neoplasms - metabolism ; Early Detection of Cancer - methods ; Female ; Gas Chromatography-Mass Spectrometry - instrumentation ; Gas Chromatography-Mass Spectrometry - methods ; Humans ; Logistic Models ; Male ; Metabolome ; Metabolomics - methods ; Middle Aged ; Reproducibility of Results ; Research Paper ; ROC Curve</subject><ispartof>Oncotarget, 2017-03, Vol.8 (10), p.17115-17126</ispartof><rights>Copyright: © 2017 Nishiumi et al. 2017</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c466t-1264afd17933e64a078c7694c69ed52999c58a062eae4b7b58ccb12493db738c3</citedby><cites>FETCH-LOGICAL-c466t-1264afd17933e64a078c7694c69ed52999c58a062eae4b7b58ccb12493db738c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5370027/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5370027/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27923,27924,53790,53792</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28179577$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nishiumi, Shin</creatorcontrib><creatorcontrib>Kobayashi, Takashi</creatorcontrib><creatorcontrib>Kawana, Shuichi</creatorcontrib><creatorcontrib>Unno, Yumi</creatorcontrib><creatorcontrib>Sakai, Takero</creatorcontrib><creatorcontrib>Okamoto, Koji</creatorcontrib><creatorcontrib>Yamada, Yasuhide</creatorcontrib><creatorcontrib>Sudo, Kazuki</creatorcontrib><creatorcontrib>Yamaji, Taiki</creatorcontrib><creatorcontrib>Saito, Yutaka</creatorcontrib><creatorcontrib>Kanemitsu, Yukihide</creatorcontrib><creatorcontrib>Okita, Natsuko Tsuda</creatorcontrib><creatorcontrib>Saito, Hiroshi</creatorcontrib><creatorcontrib>Tsugane, Shoichiro</creatorcontrib><creatorcontrib>Azuma, Takeshi</creatorcontrib><creatorcontrib>Ojima, Noriyuki</creatorcontrib><creatorcontrib>Yoshida, Masaru</creatorcontrib><title>Investigations in the possibility of early detection of colorectal cancer by gas chromatography/triple-quadrupole mass spectrometry</title><title>Oncotarget</title><addtitle>Oncotarget</addtitle><description>In developed countries, the number of patients with colorectal cancer has been increasing, and colorectal cancer is one of the most common causes of cancer death. 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The area under the curve, sensitivity, and specificity values of this model for detecting stage 0/I/II colorectal cancer were 0.996, 99.3%, and 93.8%, respectively. The model's sensitivity and specificity values for each disease stage were >90%, and surprisingly, its sensitivity for stage 0, specificity for stage 0, and sensitivity for stage II disease were all 100%. 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To improve the quality of life of colorectal cancer patients, it is necessary to establish novel screening methods that would allow early detection of colorectal cancer. We performed metabolome analysis of a plasma sample set from 282 stage 0/I/II colorectal cancer patients and 291 healthy volunteers using gas chromatography/triple-quadrupole mass spectrometry in an attempt to identify metabolite biomarkers of stage 0/I/II colorectal cancer. The colorectal cancer patients included patients with stage 0 (N=79), I (N=80), and II (N=123) in whom invasion and metastasis were absent. Our analytical system detected 64 metabolites in the plasma samples, and the levels of 29 metabolites differed significantly (Bonferroni-corrected p=0.000781) between the patients and healthy volunteers. Based on these results, a multiple logistic regression analysis of various metabolite biomarkers was carried out, and a stage 0/I/II colorectal cancer prediction model was established. The area under the curve, sensitivity, and specificity values of this model for detecting stage 0/I/II colorectal cancer were 0.996, 99.3%, and 93.8%, respectively. The model's sensitivity and specificity values for each disease stage were >90%, and surprisingly, its sensitivity for stage 0, specificity for stage 0, and sensitivity for stage II disease were all 100%. Our predictive model can aid early detection of colorectal cancer and has potential as a novel screening test for cases of colorectal cancer that do not involve lymph node or distant metastasis.</abstract><cop>United States</cop><pub>Impact Journals LLC</pub><pmid>28179577</pmid><doi>10.18632/oncotarget.15081</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Aged, 80 and over Biomarkers, Tumor - blood Biomarkers, Tumor - metabolism Colorectal Neoplasms - blood Colorectal Neoplasms - diagnosis Colorectal Neoplasms - metabolism Early Detection of Cancer - methods Female Gas Chromatography-Mass Spectrometry - instrumentation Gas Chromatography-Mass Spectrometry - methods Humans Logistic Models Male Metabolome Metabolomics - methods Middle Aged Reproducibility of Results Research Paper ROC Curve |
title | Investigations in the possibility of early detection of colorectal cancer by gas chromatography/triple-quadrupole mass spectrometry |
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