A novel combination of serum microRNAs for the detection of early gastric cancer
Background The aim of this study was to identify serum miRNAs that discriminate early gastric cancer (EGC) samples from non-cancer controls using a large cohort. Methods This retrospective case–control study included 1417 serum samples from patients with EGC (seen at the National Cancer Center Hospi...
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| Veröffentlicht in: | Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association 2021-07, Vol.24 (4), p.835-843 |
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| creator | Abe, Seiichiro Matsuzaki, Juntaro Sudo, Kazuki Oda, Ichiro Katai, Hitoshi Kato, Ken Takizawa, Satoko Sakamoto, Hiromi Takeshita, Fumitaka Niida, Shumpei Saito, Yutaka Ochiya, Takahiro |
| description | Background
The aim of this study was to identify serum miRNAs that discriminate early gastric cancer (EGC) samples from non-cancer controls using a large cohort.
Methods
This retrospective case–control study included 1417 serum samples from patients with EGC (seen at the National Cancer Center Hospital in Tokyo between 2008 and 2012) and 1417 age- and gender-matched non-cancer controls. The samples were randomly assigned to discovery and validation sets and the miRNA expression profiles of whole serum samples were comprehensively evaluated using a highly sensitive DNA chip (3D-Gene
®
) designed to detect 2565 miRNA sequences. Diagnostic models were constructed using the levels of several miRNAs in the discovery set, and the diagnostic performance of the model was evaluated in the validation set.
Results
The discovery set consisted of 708 samples from EGC patients and 709 samples from non-cancer controls, and the validation set consisted of 709 samples from EGC patients and 708 samples from non-cancer controls. The diagnostic EGC index was constructed using four miRNAs (miR-4257, miR-6785-5p, miR-187-5p, and miR-5739). In the discovery set, a receiver operating characteristic curve analysis of the EGC index revealed that the area under the curve (AUC) was 0.996 with a sensitivity of 0.983 and a specificity of 0.977. In the validation set, the AUC for the EGC index was 0.998 with a sensitivity of 0.996 and a specificity of 0.953.
Conclusions
A novel combination of four serum miRNAs could be a useful non-invasive diagnostic biomarker to detect EGC with high accuracy. A multicenter prospective study is ongoing to confirm the present observations. |
| doi_str_mv | 10.1007/s10120-021-01161-0 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8205917</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2503435991</sourcerecordid><originalsourceid>FETCH-LOGICAL-c591t-253442fff2dd9ed8010625e0c37c46f6b4c3f22b914bdc0265e42ceac4224aaa3</originalsourceid><addsrcrecordid>eNp9kc1O3TAQhS1UVCjtC3RRWWLTTWDGPwnZIF2htiAhWlXt2nKc8SUosamdIPH2mF4utF10Y1uab86c8WHsPcIRAjTHGQEFVCCwAsS6nDtsH5WsKylBv9q-RYt77E3ONwCoW6xfsz0pGyURcZ99W_EQ72jkLk7dEOw8xMCj55nSMvFpcCl-v1pl7mPi8zXxnmZyW4hsGu_52uY5DY47Gxylt2zX2zHTu6f7gP38_OnH2Xl1-fXLxdnqsnLFw1wJLZUS3nvR9y31J4BQC03gZONU7etOOemF6FpUXe9A1JqUcGSdEkJZa-UBO93o3i7dRL2jMCc7mts0TDbdm2gH83clDNdmHe_MiYDioCkCH58EUvy1UJ7NNGRH42gDxSUboUEqqdsWC3r4D3oTlxTKeoVSKFUjtS6U2FDlz3JO5J_NIJjHwMwmMFMCM78DM1CaPvy5xnPLNqECyA2QSymsKb3M_o_sA0XtoMU</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2541347355</pqid></control><display><type>article</type><title>A novel combination of serum microRNAs for the detection of early gastric cancer</title><source>MEDLINE</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>SpringerLink Journals - AutoHoldings</source><creator>Abe, Seiichiro ; Matsuzaki, Juntaro ; Sudo, Kazuki ; Oda, Ichiro ; Katai, Hitoshi ; Kato, Ken ; Takizawa, Satoko ; Sakamoto, Hiromi ; Takeshita, Fumitaka ; Niida, Shumpei ; Saito, Yutaka ; Ochiya, Takahiro</creator><creatorcontrib>Abe, Seiichiro ; Matsuzaki, Juntaro ; Sudo, Kazuki ; Oda, Ichiro ; Katai, Hitoshi ; Kato, Ken ; Takizawa, Satoko ; Sakamoto, Hiromi ; Takeshita, Fumitaka ; Niida, Shumpei ; Saito, Yutaka ; Ochiya, Takahiro</creatorcontrib><description>Background
The aim of this study was to identify serum miRNAs that discriminate early gastric cancer (EGC) samples from non-cancer controls using a large cohort.
Methods
This retrospective case–control study included 1417 serum samples from patients with EGC (seen at the National Cancer Center Hospital in Tokyo between 2008 and 2012) and 1417 age- and gender-matched non-cancer controls. The samples were randomly assigned to discovery and validation sets and the miRNA expression profiles of whole serum samples were comprehensively evaluated using a highly sensitive DNA chip (3D-Gene
®
) designed to detect 2565 miRNA sequences. Diagnostic models were constructed using the levels of several miRNAs in the discovery set, and the diagnostic performance of the model was evaluated in the validation set.
Results
The discovery set consisted of 708 samples from EGC patients and 709 samples from non-cancer controls, and the validation set consisted of 709 samples from EGC patients and 708 samples from non-cancer controls. The diagnostic EGC index was constructed using four miRNAs (miR-4257, miR-6785-5p, miR-187-5p, and miR-5739). In the discovery set, a receiver operating characteristic curve analysis of the EGC index revealed that the area under the curve (AUC) was 0.996 with a sensitivity of 0.983 and a specificity of 0.977. In the validation set, the AUC for the EGC index was 0.998 with a sensitivity of 0.996 and a specificity of 0.953.
Conclusions
A novel combination of four serum miRNAs could be a useful non-invasive diagnostic biomarker to detect EGC with high accuracy. A multicenter prospective study is ongoing to confirm the present observations.</description><identifier>ISSN: 1436-3291</identifier><identifier>EISSN: 1436-3305</identifier><identifier>DOI: 10.1007/s10120-021-01161-0</identifier><identifier>PMID: 33743111</identifier><language>eng</language><publisher>Singapore: Springer Singapore</publisher><subject>Abdominal Surgery ; Adult ; Aged ; Aged, 80 and over ; Area Under Curve ; Biomarkers, Tumor - genetics ; Cancer Research ; Case-Control Studies ; Early Detection of Cancer - methods ; Female ; Gastric cancer ; Gastroenterology ; Humans ; Male ; Medicine ; Medicine & Public Health ; MicroRNAs ; MicroRNAs - blood ; Middle Aged ; miRNA ; Nucleotide sequence ; Oligonucleotide Array Sequence Analysis ; Oncology ; Original ; Original Article ; Reproducibility of Results ; Retrospective Studies ; ROC Curve ; Sequence Analysis, RNA - statistics & numerical data ; Stomach Neoplasms - diagnosis ; Surgical Oncology ; Young Adult</subject><ispartof>Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association, 2021-07, Vol.24 (4), p.835-843</ispartof><rights>The Author(s) 2021</rights><rights>The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c591t-253442fff2dd9ed8010625e0c37c46f6b4c3f22b914bdc0265e42ceac4224aaa3</citedby><cites>FETCH-LOGICAL-c591t-253442fff2dd9ed8010625e0c37c46f6b4c3f22b914bdc0265e42ceac4224aaa3</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/s10120-021-01161-0$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10120-021-01161-0$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33743111$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Abe, Seiichiro</creatorcontrib><creatorcontrib>Matsuzaki, Juntaro</creatorcontrib><creatorcontrib>Sudo, Kazuki</creatorcontrib><creatorcontrib>Oda, Ichiro</creatorcontrib><creatorcontrib>Katai, Hitoshi</creatorcontrib><creatorcontrib>Kato, Ken</creatorcontrib><creatorcontrib>Takizawa, Satoko</creatorcontrib><creatorcontrib>Sakamoto, Hiromi</creatorcontrib><creatorcontrib>Takeshita, Fumitaka</creatorcontrib><creatorcontrib>Niida, Shumpei</creatorcontrib><creatorcontrib>Saito, Yutaka</creatorcontrib><creatorcontrib>Ochiya, Takahiro</creatorcontrib><title>A novel combination of serum microRNAs for the detection of early gastric cancer</title><title>Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association</title><addtitle>Gastric Cancer</addtitle><addtitle>Gastric Cancer</addtitle><description>Background
The aim of this study was to identify serum miRNAs that discriminate early gastric cancer (EGC) samples from non-cancer controls using a large cohort.
Methods
This retrospective case–control study included 1417 serum samples from patients with EGC (seen at the National Cancer Center Hospital in Tokyo between 2008 and 2012) and 1417 age- and gender-matched non-cancer controls. The samples were randomly assigned to discovery and validation sets and the miRNA expression profiles of whole serum samples were comprehensively evaluated using a highly sensitive DNA chip (3D-Gene
®
) designed to detect 2565 miRNA sequences. Diagnostic models were constructed using the levels of several miRNAs in the discovery set, and the diagnostic performance of the model was evaluated in the validation set.
Results
The discovery set consisted of 708 samples from EGC patients and 709 samples from non-cancer controls, and the validation set consisted of 709 samples from EGC patients and 708 samples from non-cancer controls. The diagnostic EGC index was constructed using four miRNAs (miR-4257, miR-6785-5p, miR-187-5p, and miR-5739). In the discovery set, a receiver operating characteristic curve analysis of the EGC index revealed that the area under the curve (AUC) was 0.996 with a sensitivity of 0.983 and a specificity of 0.977. In the validation set, the AUC for the EGC index was 0.998 with a sensitivity of 0.996 and a specificity of 0.953.
Conclusions
A novel combination of four serum miRNAs could be a useful non-invasive diagnostic biomarker to detect EGC with high accuracy. A multicenter prospective study is ongoing to confirm the present observations.</description><subject>Abdominal Surgery</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Area Under Curve</subject><subject>Biomarkers, Tumor - genetics</subject><subject>Cancer Research</subject><subject>Case-Control Studies</subject><subject>Early Detection of Cancer - methods</subject><subject>Female</subject><subject>Gastric cancer</subject><subject>Gastroenterology</subject><subject>Humans</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>MicroRNAs</subject><subject>MicroRNAs - blood</subject><subject>Middle Aged</subject><subject>miRNA</subject><subject>Nucleotide sequence</subject><subject>Oligonucleotide Array Sequence Analysis</subject><subject>Oncology</subject><subject>Original</subject><subject>Original Article</subject><subject>Reproducibility of Results</subject><subject>Retrospective Studies</subject><subject>ROC Curve</subject><subject>Sequence Analysis, RNA - statistics & numerical data</subject><subject>Stomach Neoplasms - diagnosis</subject><subject>Surgical Oncology</subject><subject>Young Adult</subject><issn>1436-3291</issn><issn>1436-3305</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><recordid>eNp9kc1O3TAQhS1UVCjtC3RRWWLTTWDGPwnZIF2htiAhWlXt2nKc8SUosamdIPH2mF4utF10Y1uab86c8WHsPcIRAjTHGQEFVCCwAsS6nDtsH5WsKylBv9q-RYt77E3ONwCoW6xfsz0pGyURcZ99W_EQ72jkLk7dEOw8xMCj55nSMvFpcCl-v1pl7mPi8zXxnmZyW4hsGu_52uY5DY47Gxylt2zX2zHTu6f7gP38_OnH2Xl1-fXLxdnqsnLFw1wJLZUS3nvR9y31J4BQC03gZONU7etOOemF6FpUXe9A1JqUcGSdEkJZa-UBO93o3i7dRL2jMCc7mts0TDbdm2gH83clDNdmHe_MiYDioCkCH58EUvy1UJ7NNGRH42gDxSUboUEqqdsWC3r4D3oTlxTKeoVSKFUjtS6U2FDlz3JO5J_NIJjHwMwmMFMCM78DM1CaPvy5xnPLNqECyA2QSymsKb3M_o_sA0XtoMU</recordid><startdate>20210701</startdate><enddate>20210701</enddate><creator>Abe, Seiichiro</creator><creator>Matsuzaki, Juntaro</creator><creator>Sudo, Kazuki</creator><creator>Oda, Ichiro</creator><creator>Katai, Hitoshi</creator><creator>Kato, Ken</creator><creator>Takizawa, Satoko</creator><creator>Sakamoto, Hiromi</creator><creator>Takeshita, Fumitaka</creator><creator>Niida, Shumpei</creator><creator>Saito, Yutaka</creator><creator>Ochiya, Takahiro</creator><general>Springer Singapore</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>7T5</scope><scope>H94</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20210701</creationdate><title>A novel combination of serum microRNAs for the detection of early gastric cancer</title><author>Abe, Seiichiro ; Matsuzaki, Juntaro ; Sudo, Kazuki ; Oda, Ichiro ; Katai, Hitoshi ; Kato, Ken ; Takizawa, Satoko ; Sakamoto, Hiromi ; Takeshita, Fumitaka ; Niida, Shumpei ; Saito, Yutaka ; Ochiya, Takahiro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c591t-253442fff2dd9ed8010625e0c37c46f6b4c3f22b914bdc0265e42ceac4224aaa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Abdominal Surgery</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Area Under Curve</topic><topic>Biomarkers, Tumor - genetics</topic><topic>Cancer Research</topic><topic>Case-Control Studies</topic><topic>Early Detection of Cancer - methods</topic><topic>Female</topic><topic>Gastric cancer</topic><topic>Gastroenterology</topic><topic>Humans</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>MicroRNAs</topic><topic>MicroRNAs - blood</topic><topic>Middle Aged</topic><topic>miRNA</topic><topic>Nucleotide sequence</topic><topic>Oligonucleotide Array Sequence Analysis</topic><topic>Oncology</topic><topic>Original</topic><topic>Original Article</topic><topic>Reproducibility of Results</topic><topic>Retrospective Studies</topic><topic>ROC Curve</topic><topic>Sequence Analysis, RNA - statistics & numerical data</topic><topic>Stomach Neoplasms - diagnosis</topic><topic>Surgical Oncology</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Abe, Seiichiro</creatorcontrib><creatorcontrib>Matsuzaki, Juntaro</creatorcontrib><creatorcontrib>Sudo, Kazuki</creatorcontrib><creatorcontrib>Oda, Ichiro</creatorcontrib><creatorcontrib>Katai, Hitoshi</creatorcontrib><creatorcontrib>Kato, Ken</creatorcontrib><creatorcontrib>Takizawa, Satoko</creatorcontrib><creatorcontrib>Sakamoto, Hiromi</creatorcontrib><creatorcontrib>Takeshita, Fumitaka</creatorcontrib><creatorcontrib>Niida, Shumpei</creatorcontrib><creatorcontrib>Saito, Yutaka</creatorcontrib><creatorcontrib>Ochiya, Takahiro</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Abe, Seiichiro</au><au>Matsuzaki, Juntaro</au><au>Sudo, Kazuki</au><au>Oda, Ichiro</au><au>Katai, Hitoshi</au><au>Kato, Ken</au><au>Takizawa, Satoko</au><au>Sakamoto, Hiromi</au><au>Takeshita, Fumitaka</au><au>Niida, Shumpei</au><au>Saito, Yutaka</au><au>Ochiya, Takahiro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A novel combination of serum microRNAs for the detection of early gastric cancer</atitle><jtitle>Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association</jtitle><stitle>Gastric Cancer</stitle><addtitle>Gastric Cancer</addtitle><date>2021-07-01</date><risdate>2021</risdate><volume>24</volume><issue>4</issue><spage>835</spage><epage>843</epage><pages>835-843</pages><issn>1436-3291</issn><eissn>1436-3305</eissn><abstract>Background
The aim of this study was to identify serum miRNAs that discriminate early gastric cancer (EGC) samples from non-cancer controls using a large cohort.
Methods
This retrospective case–control study included 1417 serum samples from patients with EGC (seen at the National Cancer Center Hospital in Tokyo between 2008 and 2012) and 1417 age- and gender-matched non-cancer controls. The samples were randomly assigned to discovery and validation sets and the miRNA expression profiles of whole serum samples were comprehensively evaluated using a highly sensitive DNA chip (3D-Gene
®
) designed to detect 2565 miRNA sequences. Diagnostic models were constructed using the levels of several miRNAs in the discovery set, and the diagnostic performance of the model was evaluated in the validation set.
Results
The discovery set consisted of 708 samples from EGC patients and 709 samples from non-cancer controls, and the validation set consisted of 709 samples from EGC patients and 708 samples from non-cancer controls. The diagnostic EGC index was constructed using four miRNAs (miR-4257, miR-6785-5p, miR-187-5p, and miR-5739). In the discovery set, a receiver operating characteristic curve analysis of the EGC index revealed that the area under the curve (AUC) was 0.996 with a sensitivity of 0.983 and a specificity of 0.977. In the validation set, the AUC for the EGC index was 0.998 with a sensitivity of 0.996 and a specificity of 0.953.
Conclusions
A novel combination of four serum miRNAs could be a useful non-invasive diagnostic biomarker to detect EGC with high accuracy. A multicenter prospective study is ongoing to confirm the present observations.</abstract><cop>Singapore</cop><pub>Springer Singapore</pub><pmid>33743111</pmid><doi>10.1007/s10120-021-01161-0</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; SpringerLink Journals - AutoHoldings |
| subjects | Abdominal Surgery Adult Aged Aged, 80 and over Area Under Curve Biomarkers, Tumor - genetics Cancer Research Case-Control Studies Early Detection of Cancer - methods Female Gastric cancer Gastroenterology Humans Male Medicine Medicine & Public Health MicroRNAs MicroRNAs - blood Middle Aged miRNA Nucleotide sequence Oligonucleotide Array Sequence Analysis Oncology Original Original Article Reproducibility of Results Retrospective Studies ROC Curve Sequence Analysis, RNA - statistics & numerical data Stomach Neoplasms - diagnosis Surgical Oncology Young Adult |
| title | A novel combination of serum microRNAs for the detection of early gastric cancer |
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