{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T08:25:13Z","timestamp":1769761513499,"version":"3.49.0"},"reference-count":45,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2022,10,18]],"date-time":"2022-10-18T00:00:00Z","timestamp":1666051200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/501100004731","name":"Zhejiang Provincial Natural Science Foundation","doi-asserted-by":"publisher","award":["LY22H160019"],"award-info":[{"award-number":["LY22H160019"]}],"id":[{"id":"10.13039\/501100004731","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004731","name":"Zhejiang Provincial Natural Science Foundation","doi-asserted-by":"publisher","award":["LY20H160033"],"award-info":[{"award-number":["LY20H160033"]}],"id":[{"id":"10.13039\/501100004731","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82100201"],"award-info":[{"award-number":["82100201"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81472346"],"award-info":[{"award-number":["81472346"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82074208"],"award-info":[{"award-number":["82074208"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81874173"],"award-info":[{"award-number":["81874173"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,11,19]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Robust strategies to identify patients at high risk for tumor metastasis, such as those frequently observed in intrahepatic cholangiocarcinoma (ICC), remain limited. While gene\/protein expression profiling holds great potential as an approach to cancer diagnosis and prognosis, previously developed protocols using multiple diagnostic signatures for expression-based metastasis prediction have not been widely applied successfully because batch effects and different data types greatly decreased the predictive performance of gene\/protein expression profile-based signatures in interlaboratory and data type dependent validation. To address this problem and assist in more precise diagnosis, we performed a genome-wide integrative proteome and transcriptome analysis and developed an ensemble machine learning-based integration algorithm for metastasis prediction (EMLI-Metastasis) and risk stratification (EMLI-Prognosis) in ICC. Based on massive proteome (216) and transcriptome (244) data sets, 132 feature (biomarker) genes were selected and used to train the EMLI-Metastasis algorithm. To accurately detect the metastasis of ICC patients, we developed a weighted ensemble machine learning method based on k-Top Scoring Pairs (k-TSP) method. This approach generates a metastasis classifier for each bootstrap aggregating training data set. Ten binary expression rank-based classifiers were generated for detection of metastasis separately. To further improve the accuracy of the method, the 10 binary metastasis classifiers were combined by weighted voting based on the score from the prediction results of each classifier. The prediction accuracy of the EMLI-Metastasis algorithm achieved 97.1% and 85.0% in proteome and transcriptome datasets, respectively. Among the 132 feature genes, 21 gene-pair signatures were developed to establish a metastasis-related prognosis risk-stratification model in ICC (EMLI-Prognosis). Based on EMLI-Prognosis algorithm, patients in the high-risk group had significantly dismal overall survival relative to the low-risk group in the clinical cohort (P-value\u2009&amp;lt;\u20090.05). Taken together, the EMLI-ICC algorithm provides a powerful and robust means for accurate metastasis prediction and risk stratification across proteome and transcriptome data types that is superior to currently used clinicopathological features in patients with ICC. Our developed algorithm could have profound implications not just in improved clinical care in cancer metastasis risk prediction, but also more broadly in machine-learning-based multi-cohort diagnosis method development. To make the EMLI-ICC algorithm easily accessible for clinical application, we established a web-based server for metastasis risk prediction (http:\/\/ibi.zju.edu.cn\/EMLI\/).<\/jats:p>","DOI":"10.1093\/bib\/bbac450","type":"journal-article","created":{"date-parts":[[2022,10,19]],"date-time":"2022-10-19T08:47:31Z","timestamp":1666169251000},"source":"Crossref","is-referenced-by-count":10,"title":["EMLI-ICC: an ensemble machine learning-based integration algorithm for metastasis prediction and risk stratification in intrahepatic cholangiocarcinoma"],"prefix":"10.1093","volume":"23","author":[{"given":"Jian","family":"Ruan","sequence":"first","affiliation":[{"name":"Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education , People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuaishuai","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education , People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruyin","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education , People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenxin","family":"Qu","sequence":"additional","affiliation":[{"name":"Department of Laboratory Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine , People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiong","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education , People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chanqi","family":"Ye","sequence":"additional","affiliation":[{"name":"Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education , People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education , People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qi","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education , People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feifei","family":"Yan","sequence":"additional","affiliation":[{"name":"Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education , People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Enhui","family":"Shen","sequence":"additional","affiliation":[{"name":"Institute of Bioinformatics, Zhejiang University , People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qinjie","family":"Chu","sequence":"additional","affiliation":[{"name":"Institute of Bioinformatics, Zhejiang University , People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunlu","family":"Jia","sequence":"additional","affiliation":[{"name":"Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education , People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaochen","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education , People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenguang","family":"Fu","sequence":"additional","affiliation":[{"name":"Department of Hepatobiliary Surgery, The Affiliated Hospital of Southwest Medical University , People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinzhang","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Oncology, Nanfang Hospital, Southern medical University , People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael P","family":"Timko","sequence":"additional","affiliation":[{"name":"Lewis and Clark Professor of Biology, Department of Biology, and professor of the Public Health Sciences, University of Virginia , U.S.A"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Zhao","sequence":"additional","affiliation":[{"name":"Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education , People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Longjiang","family":"Fan","sequence":"additional","affiliation":[{"name":"Institute of Bioinformatics, Zhejiang University , People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2720-724X","authenticated-orcid":false,"given":"Yifei","family":"Shen","sequence":"additional","affiliation":[{"name":"Department of Laboratory Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, & Institute of Laboratory Medicine, Zhejiang University , People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2022,10,18]]},"reference":[{"issue":"4","key":"2022112111194112200_ref1","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1016\/j.cell.2006.11.001","article-title":"Cancer metastasis: building a framework","volume":"127","author":"Gupta","year":"2006","journal-title":"Cell"},{"issue":"6","key":"2022112111194112200_ref2","doi-asserted-by":"crossref","first-page":"1268","DOI":"10.1016\/j.jhep.2014.01.021","article-title":"Guidelines for the diagnosis and management of intrahepatic cholangiocarcinoma","volume":"60","author":"Bridgewater","year":"2014","journal-title":"J Hepatol"},{"issue":"10","key":"2022112111194112200_ref3","doi-asserted-by":"crossref","first-page":"1116","DOI":"10.1158\/2159-8290.CD-17-0368","article-title":"Whole-genome and epigenomic landscapes of etiologically distinct subtypes of cholangiocarcinoma","volume":"7","author":"Jusakul","year":"2017","journal-title":"Cancer Discov"},{"issue":"2","key":"2022112111194112200_ref4","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1002\/jso.23605","article-title":"Temporal trends in liver-directed therapy of patients with intrahepatic cholangiocarcinoma in the United States: a population-based analysis","volume":"110","author":"Amini","year":"2014","journal-title":"J Surg Oncol"},{"issue":"6","key":"2022112111194112200_ref5","doi-asserted-by":"crossref","first-page":"811","DOI":"10.1016\/j.surg.2012.12.005","article-title":"Recurrence after operative management of intrahepatic cholangiocarcinoma","volume":"153","author":"Hyder","year":"2013","journal-title":"Surgery"},{"issue":"6","key":"2022112111194112200_ref6","doi-asserted-by":"crossref","first-page":"e1187","DOI":"10.1097\/SLA.0000000000003788","article-title":"Number and station of lymph node metastasis after curative-intent resection of intrahepatic cholangiocarcinoma impact prognosis","volume":"274","author":"Zhang","year":"2021","journal-title":"Ann Surg"},{"issue":"5","key":"2022112111194112200_ref7","doi-asserted-by":"crossref","first-page":"824","DOI":"10.1097\/SLA.0b013e318236c21d","article-title":"Influence of surgical margins on outcome in patients with intrahepatic cholangiocarcinoma: a multicenter study by the AFC-IHCC-2009 study group","volume":"254","author":"Farges","year":"2011","journal-title":"Ann Surg"},{"issue":"17","key":"2022112111194112200_ref8","doi-asserted-by":"crossref","first-page":"3117","DOI":"10.7150\/jca.25339","article-title":"Preoperative CEA levels are supplementary to CA19-9 levels in predicting prognosis in patients with resectable intrahepatic cholangiocarcinoma","volume":"9","author":"He","year":"2018","journal-title":"J Cancer"},{"issue":"6024","key":"2022112111194112200_ref9","doi-asserted-by":"crossref","first-page":"1559","DOI":"10.1126\/science.1203543","article-title":"A perspective on cancer cell metastasis","volume":"331","author":"Chaffer","year":"2011","journal-title":"Science"},{"issue":"3","key":"2022112111194112200_ref10","first-page":"688","article-title":"Integrated mRNA and lncRNA expression profiling for exploring metastatic biomarkers of human intrahepatic cholangiocarcinoma","volume":"7","author":"Lv","year":"2017","journal-title":"Am J Cancer Res"},{"issue":"10","key":"2022112111194112200_ref11","doi-asserted-by":"crossref","first-page":"3197","DOI":"10.1111\/cas.14151","article-title":"CXCL 12 expression in intrahepatic cholangiocarcinoma is associated with metastasis and poor prognosis","volume":"110","author":"Miyata","year":"2019","journal-title":"Cancer Sci"},{"issue":"4","key":"2022112111194112200_ref12","doi-asserted-by":"crossref","first-page":"664","DOI":"10.1002\/jso.25192","article-title":"CD90 expression in human intrahepatic cholangiocarcinoma is associated with lymph node metastasis and poor prognosis","volume":"118","author":"Yamaoka","year":"2018","journal-title":"J Surg Oncol"},{"key":"2022112111194112200_ref13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s40659-015-0016-9","article-title":"TGF-\u03b21 expression is associated with invasion and metastasis of intrahepatic cholangiocarcinoma","volume":"48","author":"Chen","year":"2015","journal-title":"Biol Res"},{"issue":"44","key":"2022112111194112200_ref14","first-page":"311","article-title":"Prognostic factors of intrahepatic cholangiocarcinoma after hepatic resection: univariate and multivariate analysis","volume":"49","author":"Hanazaki","year":"2002","journal-title":"Hepatogastroenterology"},{"issue":"1","key":"2022112111194112200_ref15","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1007\/s13304-010-0007-x","article-title":"Intrahepatic cholangiocarcinoma: prognostic factors after liver resection","volume":"62","author":"Nuzzo","year":"2010","journal-title":"Updates Surg"},{"issue":"9460","key":"2022112111194112200_ref16","doi-asserted-by":"crossref","first-page":"671","DOI":"10.1016\/S0140-6736(05)17947-1","article-title":"Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer","volume":"365","author":"Wang","year":"2005","journal-title":"The Lancet"},{"issue":"4","key":"2022112111194112200_ref17","doi-asserted-by":"crossref","first-page":"461","DOI":"10.2353\/jmoldx.2010.090220","article-title":"An accurate, clinically feasible multi-gene expression assay for predicting metastasis in uveal melanoma","volume":"12","author":"Onken","year":"2010","journal-title":"J Mol Diagn"},{"issue":"3","key":"2022112111194112200_ref18","doi-asserted-by":"crossref","first-page":"958","DOI":"10.1053\/j.gastro.2009.11.005","article-title":"Experimentally derived metastasis gene expression profile predicts recurrence and death in patients with colon cancer","volume":"138","author":"Smith","year":"2010","journal-title":"Gastroenterology"},{"issue":"4","key":"2022112111194112200_ref19","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1038\/nm843","article-title":"Predicting hepatitis B virus\u2013positive metastatic hepatocellular carcinomas using gene expression profiling and supervised machine learning","volume":"9","author":"Ye","year":"2003","journal-title":"Nat Med"},{"issue":"3","key":"2022112111194112200_ref20","doi-asserted-by":"crossref","first-page":"382","DOI":"10.1016\/S1470-2045(18)30080-9","article-title":"Development and validation of a gene expression-based signature to predict distant metastasis in locoregionally advanced nasopharyngeal carcinoma: a retrospective, multicentre, cohort study","volume":"19","author":"Tang","year":"2018","journal-title":"Lancet Oncol"},{"issue":"11","key":"2022112111194112200_ref21","doi-asserted-by":"crossref","first-page":"4128","DOI":"10.1158\/1078-0432.CCR-04-2525","article-title":"Prediction of lymph node metastasis by analysis of gene expression profiles in primary lung adenocarcinomas","volume":"11","author":"Xi","year":"2005","journal-title":"Clin Cancer Res"},{"issue":"12","key":"2022112111194112200_ref22","doi-asserted-by":"crossref","first-page":"6958","DOI":"10.1073\/pnas.1131754100","article-title":"Predicting survival in patients with metastatic kidney cancer by gene-expression profiling in the primary tumor","volume":"100","author":"Vasselli","year":"2003","journal-title":"Proc Natl Acad Sci"},{"issue":"4","key":"2022112111194112200_ref23","doi-asserted-by":"crossref","first-page":"1036","DOI":"10.1016\/j.juro.2016.04.061","article-title":"Prediction of lymph node metastasis in patients with bladder cancer using whole transcriptome gene expression signatures","volume":"196","author":"Seiler","year":"2016","journal-title":"J Urol"},{"issue":"1","key":"2022112111194112200_ref24","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.ccell.2021.12.006","article-title":"Proteogenomic characterization identifies clinically relevant subgroups of intrahepatic cholangiocarcinoma","volume":"40","author":"Dong","year":"2022","journal-title":"Cancer Cell"},{"issue":"4","key":"2022112111194112200_ref25","doi-asserted-by":"crossref","first-page":"490","DOI":"10.1007\/s12072-019-09954-3","article-title":"Prognostic subclass of intrahepatic cholangiocarcinoma by integrative molecular\u2013clinical analysis and potential targeted approach","volume":"13","author":"Ahn","year":"2019","journal-title":"Hepatol Int"},{"issue":"269","key":"2022112111194112200_ref26","doi-asserted-by":"crossref","first-page":"pl1","DOI":"10.1126\/scisignal.2004088","article-title":"Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal","volume":"6","author":"Gao","year":"2013","journal-title":"Sci Signal"},{"issue":"11","key":"2022112111194112200_ref27","doi-asserted-by":"crossref","first-page":"2305","DOI":"10.1002\/1878-0261.12570","article-title":"High-throughput proteomic analysis of FFPE tissue samples facilitates tumor stratification","volume":"13","author":"Zhu","year":"2019","journal-title":"Mol Oncol"},{"issue":"5","key":"2022112111194112200_ref28","doi-asserted-by":"crossref","first-page":"1982","DOI":"10.1021\/acs.jproteome.9b00790","article-title":"Accelerated lysis and proteolytic digestion of biopsy-level fresh-frozen and FFPE tissue samples using pressure cycling technology","volume":"19","author":"Gao","year":"2020","journal-title":"J Proteome Res"},{"issue":"4","key":"2022112111194112200_ref29","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1038\/s41592-020-0781-4","article-title":"TMTpro reagents: a set of isobaric labeling mass tags enables simultaneous proteome-wide measurements across 16 samples","volume":"17","author":"Li","year":"2020","journal-title":"Nat Methods"},{"issue":"D1","key":"2022112111194112200_ref30","doi-asserted-by":"crossref","first-page":"D204","DOI":"10.1093\/nar\/gku989","article-title":"UniProt: a hub for protein information","volume":"43","author":"Consortium, U","year":"2015","journal-title":"Nucleic Acids Res"},{"issue":"1","key":"2022112111194112200_ref31","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.cell.2020.05.032","article-title":"Proteomic and metabolomic characterization of COVID-19 patient sera","volume":"182","author":"Shen","year":"2020","journal-title":"Cell"},{"issue":"3","key":"2022112111194112200_ref32","doi-asserted-by":"crossref","first-page":"775","DOI":"10.1016\/j.cell.2021.01.004","article-title":"Multi-organ proteomic landscape of COVID-19 autopsies","volume":"184","author":"Nie","year":"2021","journal-title":"Cell"},{"issue":"1","key":"2022112111194112200_ref33","doi-asserted-by":"crossref","first-page":"1","DOI":"10.2202\/1544-6115.1071","article-title":"Classifying gene expression profiles from pairwise mRNA comparisons","volume":"3","author":"Geman","year":"2004","journal-title":"Stat Appl Genet Mol Biol"},{"issue":"20","key":"2022112111194112200_ref34","doi-asserted-by":"crossref","first-page":"3896","DOI":"10.1093\/bioinformatics\/bti631","article-title":"Simple decision rules for classifying human cancers from gene expression profiles","volume":"21","author":"Tan","year":"2005","journal-title":"Bioinformatics"},{"issue":"6","key":"2022112111194112200_ref35","doi-asserted-by":"crossref","first-page":"1303","DOI":"10.1016\/S0031-3203(02)00169-3","article-title":"Double-bagging: combining classifiers by bootstrap aggregation","volume":"36","author":"Hothorn","year":"2003","journal-title":"Pattern Recognition"},{"key":"2022112111194112200_ref36","volume-title":"Multivariate Data Analysis","author":"Hair","year":"1998"},{"key":"2022112111194112200_ref37","article-title":"survminer: Drawing Survival Curves using \u2018ggplot2\u2019","volume":"1","author":"Kassambara","year":"2017","journal-title":"R package version 03"},{"issue":"10","key":"2022112111194112200_ref38","first-page":"28","article-title":"Package \u2018survival\u2019","volume":"128","author":"Therneau","year":"2015","journal-title":"R Top Doc"},{"key":"2022112111194112200_ref39","article-title":"Package \u2018compareC\u2019","author":"Le Kang","year":"2022"},{"issue":"1","key":"2022112111194112200_ref40","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1471-2105-12-77","article-title":"pROC: an open-source package for R and S+ to analyze and compare ROC curves","volume":"12","author":"Robin","year":"2011","journal-title":"BMC Bioinform"},{"issue":"12","key":"2022112111194112200_ref41","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s13059-014-0550-8","article-title":"Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2","volume":"15","author":"Love","year":"2014","journal-title":"Genome Biol"},{"issue":"8","key":"2022112111194112200_ref42","doi-asserted-by":"crossref","first-page":"1432","DOI":"10.1016\/j.ejso.2019.03.023","article-title":"Neoadjuvant vs. adjuvant chemotherapy for cholangiocarcinoma: a propensity score matched analysis","volume":"45","author":"Yadav","year":"2019","journal-title":"Eur J Surg Oncol"},{"issue":"6","key":"2022112111194112200_ref43","doi-asserted-by":"crossref","first-page":"896","DOI":"10.1038\/sj.bjc.6603648","article-title":"Chemotherapy in advanced biliary tract carcinoma: a pooled analysis of clinical trials","volume":"96","author":"Eckel","year":"2007","journal-title":"Br J Cancer"},{"issue":"7","key":"2022112111194112200_ref44","doi-asserted-by":"crossref","first-page":"969","DOI":"10.1046\/j.0007-1323.2001.01784.x","article-title":"Clinicopathological factors predicting outcome after resection of mass-forming intrahepatic cholangiocarcinoma","volume":"88","author":"Uenishi","year":"2001","journal-title":"J Br Surg"},{"issue":"1","key":"2022112111194112200_ref45","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1007\/s10620-013-2894-4","article-title":"Prediction of the postoperative prognosis of intrahepatic cholangiocarcinoma (ICC): importance of preoperatively-determined anatomic invasion level and number of tumors","volume":"59","author":"Marubashi","year":"2014","journal-title":"Dig Dis Sci"}],"container-title":["Briefings in Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bib\/article-pdf\/23\/6\/bbac450\/47143625\/bbac450.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bib\/article-pdf\/23\/6\/bbac450\/47143625\/bbac450.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,21]],"date-time":"2022-11-21T11:24:16Z","timestamp":1669029856000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bib\/article\/doi\/10.1093\/bib\/bbac450\/6762744"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,18]]},"references-count":45,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2022,11,19]]}},"URL":"https:\/\/doi.org\/10.1093\/bib\/bbac450","relation":{},"ISSN":["1467-5463","1477-4054"],"issn-type":[{"value":"1467-5463","type":"print"},{"value":"1477-4054","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2022,11]]},"published":{"date-parts":[[2022,10,18]]},"article-number":"bbac450"}}