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N‐glycan signatures identified in the serum from biliary tract cancer patients: Association with clinical diagnosis and prognosis
Background Changes in the expression of genes related to glycosyltransferases may lead to alterations in N‐glycan structure abundance, potentially acting as markers for diagnosis and prognosis in biliary tract cancer (BTC). Methods This study was divided into cross‐sectional and longitudinal approac...
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| Published in: | Journal of hepato-biliary-pancreatic sciences 2024-08, Vol.31 (8), p.537-548 |
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| container_end_page | 548 |
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| container_title | Journal of hepato-biliary-pancreatic sciences |
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| creator | Huang, Chenjun Qiu, Zhiquan Wang, Mengmeng Ji, Jun Xiao, Xiao Wang, Ying Xu, Xuewen Gao, Zhiyuan Gao, Chunfang |
| description | Background
Changes in the expression of genes related to glycosyltransferases may lead to alterations in N‐glycan structure abundance, potentially acting as markers for diagnosis and prognosis in biliary tract cancer (BTC).
Methods
This study was divided into cross‐sectional and longitudinal approaches. The cross‐sectional study included 316 BTC and 301 non‐BTC. Propensity score matching was applied to adjust for sex and age differences between BTC and non‐BTC. Univariate and multivariate logistic regression identified independent risk factors for BTC and constructed the BTC‐G model. The ROC curve was used to validate the diagnostic performance of BTC‐G. Longitudinal follow‐up studies included postoperative (N = 50) and immunotherapy (N = 43) follow‐up cohorts. Cox regression analysis identified N‐glycan structures impacting BTC prognosis postoperative and immunotherapy, with further confirmation through Kaplan–Meier curves.
Results
Univariate and multivariate analyses identified Peak3 (OR: 0.790, 95% CI: 0.658–0.949), Peak9 (OR: 1.646, 95% CI: 1.409–1.922), and Peak9p (OR: 2.467, 95% CI: 1.267–4.804) as independent BTC risk factors, leading to the creation of the BTC‐G. The ROC curve confirmed that BTC‐G performed well in training (AUC: 0.753, 95% CI: 0.703–0.799), validation (AUC: 0.811, 95% CI: 0.740–0.870), and CA19‐9 negative cohorts (AUC: 0.717, 95% CI: 0.664–0.767). Cox regression analysis and Kaplan–Meier curves established that Peak12 (HR: 5.578, 95% CI: 1.145–27.170) and Peak11 (HR: 1.104, 95% CI: 0.611–1.994) are independent risk factors for BTC prognosis following surgery and immunotherapy, respectively.
Conclusions
Our NGFP technology supplements BTC diagnostics, distinguishing survival and recurrence subtypes for postoperative and immunotherapy, thereby supporting the development of treatment strategies.
Using cross‐sectional and longitudinal approaches to explore the application of N‐glycan fingerprint technology in the diagnosis, postoperative evaluation, and immunotherapy outcomes of biliary tract cancer, Huang and colleagues demonstrated its potential in enhancing the diagnosis and prediction of outcomes, and pursuing the discovery of new biomarkers to improve prognostic management. |
| doi_str_mv | 10.1002/jhbp.12011 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3063465555</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3063465555</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2461-a976fcce54613443778a19b3266a355b862661115d1682feedc661bb66348ac3</originalsourceid><addsrcrecordid>eNp9kc9KxDAQxoMoKroXH0ACXkTYtWnaNPWm4l9EPXgvaZruztKmNWlZ9ib4Aj6jT-KsXT14cC6ZD37zzZCPkAMWTFgQhKfzWd5OWBgwtkF2mRRyLFIZbv72SbRDRt7PAyzOeMqDbbLDpQyjiMtd8v74-fYxrZZaWephalXXO-MpFMZ2UIIpKFjazQz1xvU1LV1T0xwqUG5JO6d0R3FSG0db1QHO-DN67n2jAWVj6QK6GdUVWNCqogWoqW08eKpsQVvXDGqfbJWq8ma0fvfIy_XVy-Xt-OHp5u7y_GGsw0iwsUoTUWptYhQcr08SqVia81AIxeM4lwI7xlhcMCHD0phCo85zIXgkleZ75HiwxcWvvfFdVoPXpqqUNU3vMx4gKGIsRI_-oPOmdxaPQyoVERqmEqmTgdKu8d6ZMmsd1PgzGQuyVTjZKpzsOxyED9eWfV6b4hf9iQIBNgALqMzyH6vs_vbieTD9AlODmys</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3096434898</pqid></control><display><type>article</type><title>N‐glycan signatures identified in the serum from biliary tract cancer patients: Association with clinical diagnosis and prognosis</title><source>Wiley</source><creator>Huang, Chenjun ; Qiu, Zhiquan ; Wang, Mengmeng ; Ji, Jun ; Xiao, Xiao ; Wang, Ying ; Xu, Xuewen ; Gao, Zhiyuan ; Gao, Chunfang</creator><creatorcontrib>Huang, Chenjun ; Qiu, Zhiquan ; Wang, Mengmeng ; Ji, Jun ; Xiao, Xiao ; Wang, Ying ; Xu, Xuewen ; Gao, Zhiyuan ; Gao, Chunfang</creatorcontrib><description>Background
Changes in the expression of genes related to glycosyltransferases may lead to alterations in N‐glycan structure abundance, potentially acting as markers for diagnosis and prognosis in biliary tract cancer (BTC).
Methods
This study was divided into cross‐sectional and longitudinal approaches. The cross‐sectional study included 316 BTC and 301 non‐BTC. Propensity score matching was applied to adjust for sex and age differences between BTC and non‐BTC. Univariate and multivariate logistic regression identified independent risk factors for BTC and constructed the BTC‐G model. The ROC curve was used to validate the diagnostic performance of BTC‐G. Longitudinal follow‐up studies included postoperative (N = 50) and immunotherapy (N = 43) follow‐up cohorts. Cox regression analysis identified N‐glycan structures impacting BTC prognosis postoperative and immunotherapy, with further confirmation through Kaplan–Meier curves.
Results
Univariate and multivariate analyses identified Peak3 (OR: 0.790, 95% CI: 0.658–0.949), Peak9 (OR: 1.646, 95% CI: 1.409–1.922), and Peak9p (OR: 2.467, 95% CI: 1.267–4.804) as independent BTC risk factors, leading to the creation of the BTC‐G. The ROC curve confirmed that BTC‐G performed well in training (AUC: 0.753, 95% CI: 0.703–0.799), validation (AUC: 0.811, 95% CI: 0.740–0.870), and CA19‐9 negative cohorts (AUC: 0.717, 95% CI: 0.664–0.767). Cox regression analysis and Kaplan–Meier curves established that Peak12 (HR: 5.578, 95% CI: 1.145–27.170) and Peak11 (HR: 1.104, 95% CI: 0.611–1.994) are independent risk factors for BTC prognosis following surgery and immunotherapy, respectively.
Conclusions
Our NGFP technology supplements BTC diagnostics, distinguishing survival and recurrence subtypes for postoperative and immunotherapy, thereby supporting the development of treatment strategies.
Using cross‐sectional and longitudinal approaches to explore the application of N‐glycan fingerprint technology in the diagnosis, postoperative evaluation, and immunotherapy outcomes of biliary tract cancer, Huang and colleagues demonstrated its potential in enhancing the diagnosis and prediction of outcomes, and pursuing the discovery of new biomarkers to improve prognostic management.</description><identifier>ISSN: 1868-6974</identifier><identifier>ISSN: 1868-6982</identifier><identifier>EISSN: 1868-6982</identifier><identifier>DOI: 10.1002/jhbp.12011</identifier><identifier>PMID: 38824438</identifier><language>eng</language><publisher>Japan: Wiley Subscription Services, Inc</publisher><subject>biliary tract cancer ; diagnostic ; Immunotherapy ; Medical prognosis ; N‐glycan structure ; prognosis ; Regression analysis ; Risk factors</subject><ispartof>Journal of hepato-biliary-pancreatic sciences, 2024-08, Vol.31 (8), p.537-548</ispartof><rights>2024 Japanese Society of Hepato‐Biliary‐Pancreatic Surgery.</rights><rights>Copyright © 2024 Japanese Society of Hepato‐Biliary‐Pancreatic Surgery</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2461-a976fcce54613443778a19b3266a355b862661115d1682feedc661bb66348ac3</cites><orcidid>0000-0003-3836-6262</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjhbp.12011$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjhbp.12011$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,786,790,27957,27958,50923,51032</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38824438$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Huang, Chenjun</creatorcontrib><creatorcontrib>Qiu, Zhiquan</creatorcontrib><creatorcontrib>Wang, Mengmeng</creatorcontrib><creatorcontrib>Ji, Jun</creatorcontrib><creatorcontrib>Xiao, Xiao</creatorcontrib><creatorcontrib>Wang, Ying</creatorcontrib><creatorcontrib>Xu, Xuewen</creatorcontrib><creatorcontrib>Gao, Zhiyuan</creatorcontrib><creatorcontrib>Gao, Chunfang</creatorcontrib><title>N‐glycan signatures identified in the serum from biliary tract cancer patients: Association with clinical diagnosis and prognosis</title><title>Journal of hepato-biliary-pancreatic sciences</title><addtitle>J Hepatobiliary Pancreat Sci</addtitle><description>Background
Changes in the expression of genes related to glycosyltransferases may lead to alterations in N‐glycan structure abundance, potentially acting as markers for diagnosis and prognosis in biliary tract cancer (BTC).
Methods
This study was divided into cross‐sectional and longitudinal approaches. The cross‐sectional study included 316 BTC and 301 non‐BTC. Propensity score matching was applied to adjust for sex and age differences between BTC and non‐BTC. Univariate and multivariate logistic regression identified independent risk factors for BTC and constructed the BTC‐G model. The ROC curve was used to validate the diagnostic performance of BTC‐G. Longitudinal follow‐up studies included postoperative (N = 50) and immunotherapy (N = 43) follow‐up cohorts. Cox regression analysis identified N‐glycan structures impacting BTC prognosis postoperative and immunotherapy, with further confirmation through Kaplan–Meier curves.
Results
Univariate and multivariate analyses identified Peak3 (OR: 0.790, 95% CI: 0.658–0.949), Peak9 (OR: 1.646, 95% CI: 1.409–1.922), and Peak9p (OR: 2.467, 95% CI: 1.267–4.804) as independent BTC risk factors, leading to the creation of the BTC‐G. The ROC curve confirmed that BTC‐G performed well in training (AUC: 0.753, 95% CI: 0.703–0.799), validation (AUC: 0.811, 95% CI: 0.740–0.870), and CA19‐9 negative cohorts (AUC: 0.717, 95% CI: 0.664–0.767). Cox regression analysis and Kaplan–Meier curves established that Peak12 (HR: 5.578, 95% CI: 1.145–27.170) and Peak11 (HR: 1.104, 95% CI: 0.611–1.994) are independent risk factors for BTC prognosis following surgery and immunotherapy, respectively.
Conclusions
Our NGFP technology supplements BTC diagnostics, distinguishing survival and recurrence subtypes for postoperative and immunotherapy, thereby supporting the development of treatment strategies.
Using cross‐sectional and longitudinal approaches to explore the application of N‐glycan fingerprint technology in the diagnosis, postoperative evaluation, and immunotherapy outcomes of biliary tract cancer, Huang and colleagues demonstrated its potential in enhancing the diagnosis and prediction of outcomes, and pursuing the discovery of new biomarkers to improve prognostic management.</description><subject>biliary tract cancer</subject><subject>diagnostic</subject><subject>Immunotherapy</subject><subject>Medical prognosis</subject><subject>N‐glycan structure</subject><subject>prognosis</subject><subject>Regression analysis</subject><subject>Risk factors</subject><issn>1868-6974</issn><issn>1868-6982</issn><issn>1868-6982</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kc9KxDAQxoMoKroXH0ACXkTYtWnaNPWm4l9EPXgvaZruztKmNWlZ9ib4Aj6jT-KsXT14cC6ZD37zzZCPkAMWTFgQhKfzWd5OWBgwtkF2mRRyLFIZbv72SbRDRt7PAyzOeMqDbbLDpQyjiMtd8v74-fYxrZZaWephalXXO-MpFMZ2UIIpKFjazQz1xvU1LV1T0xwqUG5JO6d0R3FSG0db1QHO-DN67n2jAWVj6QK6GdUVWNCqogWoqW08eKpsQVvXDGqfbJWq8ma0fvfIy_XVy-Xt-OHp5u7y_GGsw0iwsUoTUWptYhQcr08SqVia81AIxeM4lwI7xlhcMCHD0phCo85zIXgkleZ75HiwxcWvvfFdVoPXpqqUNU3vMx4gKGIsRI_-oPOmdxaPQyoVERqmEqmTgdKu8d6ZMmsd1PgzGQuyVTjZKpzsOxyED9eWfV6b4hf9iQIBNgALqMzyH6vs_vbieTD9AlODmys</recordid><startdate>202408</startdate><enddate>202408</enddate><creator>Huang, Chenjun</creator><creator>Qiu, Zhiquan</creator><creator>Wang, Mengmeng</creator><creator>Ji, Jun</creator><creator>Xiao, Xiao</creator><creator>Wang, Ying</creator><creator>Xu, Xuewen</creator><creator>Gao, Zhiyuan</creator><creator>Gao, Chunfang</creator><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-3836-6262</orcidid></search><sort><creationdate>202408</creationdate><title>N‐glycan signatures identified in the serum from biliary tract cancer patients: Association with clinical diagnosis and prognosis</title><author>Huang, Chenjun ; Qiu, Zhiquan ; Wang, Mengmeng ; Ji, Jun ; Xiao, Xiao ; Wang, Ying ; Xu, Xuewen ; Gao, Zhiyuan ; Gao, Chunfang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2461-a976fcce54613443778a19b3266a355b862661115d1682feedc661bb66348ac3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>biliary tract cancer</topic><topic>diagnostic</topic><topic>Immunotherapy</topic><topic>Medical prognosis</topic><topic>N‐glycan structure</topic><topic>prognosis</topic><topic>Regression analysis</topic><topic>Risk factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huang, Chenjun</creatorcontrib><creatorcontrib>Qiu, Zhiquan</creatorcontrib><creatorcontrib>Wang, Mengmeng</creatorcontrib><creatorcontrib>Ji, Jun</creatorcontrib><creatorcontrib>Xiao, Xiao</creatorcontrib><creatorcontrib>Wang, Ying</creatorcontrib><creatorcontrib>Xu, Xuewen</creatorcontrib><creatorcontrib>Gao, Zhiyuan</creatorcontrib><creatorcontrib>Gao, Chunfang</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of hepato-biliary-pancreatic sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huang, Chenjun</au><au>Qiu, Zhiquan</au><au>Wang, Mengmeng</au><au>Ji, Jun</au><au>Xiao, Xiao</au><au>Wang, Ying</au><au>Xu, Xuewen</au><au>Gao, Zhiyuan</au><au>Gao, Chunfang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>N‐glycan signatures identified in the serum from biliary tract cancer patients: Association with clinical diagnosis and prognosis</atitle><jtitle>Journal of hepato-biliary-pancreatic sciences</jtitle><addtitle>J Hepatobiliary Pancreat Sci</addtitle><date>2024-08</date><risdate>2024</risdate><volume>31</volume><issue>8</issue><spage>537</spage><epage>548</epage><pages>537-548</pages><issn>1868-6974</issn><issn>1868-6982</issn><eissn>1868-6982</eissn><notes>Chenjun Huang, Zhiquan Qiu and Mengmeng Wang contributed equally to the study.</notes><notes>ObjectType-Article-1</notes><notes>SourceType-Scholarly Journals-1</notes><notes>ObjectType-Feature-2</notes><notes>content type line 23</notes><abstract>Background
Changes in the expression of genes related to glycosyltransferases may lead to alterations in N‐glycan structure abundance, potentially acting as markers for diagnosis and prognosis in biliary tract cancer (BTC).
Methods
This study was divided into cross‐sectional and longitudinal approaches. The cross‐sectional study included 316 BTC and 301 non‐BTC. Propensity score matching was applied to adjust for sex and age differences between BTC and non‐BTC. Univariate and multivariate logistic regression identified independent risk factors for BTC and constructed the BTC‐G model. The ROC curve was used to validate the diagnostic performance of BTC‐G. Longitudinal follow‐up studies included postoperative (N = 50) and immunotherapy (N = 43) follow‐up cohorts. Cox regression analysis identified N‐glycan structures impacting BTC prognosis postoperative and immunotherapy, with further confirmation through Kaplan–Meier curves.
Results
Univariate and multivariate analyses identified Peak3 (OR: 0.790, 95% CI: 0.658–0.949), Peak9 (OR: 1.646, 95% CI: 1.409–1.922), and Peak9p (OR: 2.467, 95% CI: 1.267–4.804) as independent BTC risk factors, leading to the creation of the BTC‐G. The ROC curve confirmed that BTC‐G performed well in training (AUC: 0.753, 95% CI: 0.703–0.799), validation (AUC: 0.811, 95% CI: 0.740–0.870), and CA19‐9 negative cohorts (AUC: 0.717, 95% CI: 0.664–0.767). Cox regression analysis and Kaplan–Meier curves established that Peak12 (HR: 5.578, 95% CI: 1.145–27.170) and Peak11 (HR: 1.104, 95% CI: 0.611–1.994) are independent risk factors for BTC prognosis following surgery and immunotherapy, respectively.
Conclusions
Our NGFP technology supplements BTC diagnostics, distinguishing survival and recurrence subtypes for postoperative and immunotherapy, thereby supporting the development of treatment strategies.
Using cross‐sectional and longitudinal approaches to explore the application of N‐glycan fingerprint technology in the diagnosis, postoperative evaluation, and immunotherapy outcomes of biliary tract cancer, Huang and colleagues demonstrated its potential in enhancing the diagnosis and prediction of outcomes, and pursuing the discovery of new biomarkers to improve prognostic management.</abstract><cop>Japan</cop><pub>Wiley Subscription Services, Inc</pub><pmid>38824438</pmid><doi>10.1002/jhbp.12011</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-3836-6262</orcidid></addata></record> |
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| source | Wiley |
| subjects | biliary tract cancer diagnostic Immunotherapy Medical prognosis N‐glycan structure prognosis Regression analysis Risk factors |
| title | N‐glycan signatures identified in the serum from biliary tract cancer patients: Association with clinical diagnosis and prognosis |
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