{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T10:15:59Z","timestamp":1782814559156,"version":"3.54.5"},"reference-count":74,"publisher":"American Association for the Advancement of Science (AAAS)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2022,8,28]],"date-time":"2022-08-28T00:00:00Z","timestamp":1661644800000},"content-version":"vor","delay-in-days":239,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100014188","name":"Korea Ministry of Science and ICT","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100014188","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002701","name":"Ministry of Education","doi-asserted-by":"publisher","award":["NRF-2021R1A6A1A10044950"],"award-info":[{"award-number":["NRF-2021R1A6A1A10044950"]}],"id":[{"id":"10.13039\/501100002701","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003621","name":"Ministry of Science, ICT and Future Planning","doi-asserted-by":"publisher","award":["NRF-2019R1C1C1008181"],"award-info":[{"award-number":["NRF-2019R1C1C1008181"]}],"id":[{"id":"10.13039\/501100003621","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["csbj.org","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Comput Struct Biotechnol J"],"published-print":{"date-parts":[[2022,1]]},"DOI":"10.1016\/j.csbj.2022.08.064","type":"journal-article","created":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T12:19:20Z","timestamp":1662034760000},"page":"4806-4815","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":12,"title":["Challenges in genomic analysis of model systems and primary tumors of pancreatic ductal adenocarcinoma"],"prefix":"10.34133","volume":"20","author":[{"given":"Sangyeop","family":"Hyun","sequence":"first","affiliation":[{"name":"Department of Molecular Science and Technology, Department of Biological Sciences, Ajou University, Suwon 16499, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daechan","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Molecular Science and Technology, Department of Biological Sciences, Ajou University, Suwon 16499, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"221","published-online":{"date-parts":[[2022,9,6]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21654"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.4251\/wjgo.v12.i2.173"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21660"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.3390\/cancers12051327"},{"key":"e_1_3_3_6_2","doi-asserted-by":"crossref","first-page":"246","DOI":"10.3389\/fonc.2019.00246","article-title":"Pancreatic cancer heterogeneity can be explained beyond the genome","volume":"9","author":"Juiz N.A.","year":"2019","unstructured":"Juiz N.A., Iovanna J. and Dusetti N.: Pancreatic cancer heterogeneity can be explained beyond the genome. Front Oncol 2019; 9: 246.","journal-title":"Front Oncol"},{"key":"e_1_3_3_7_2","doi-asserted-by":"crossref","first-page":"1082","DOI":"10.1158\/1078-0432.CCR-20-2667","article-title":"Defining the comprehensive genomic landscapes of pancreatic ductal adenocarcinoma using real-world endoscopic aspiration samples","volume":"27","author":"Semaan A.","year":"2021","unstructured":"Semaan A., Bernard V., Lee J.J., Wong J.W., Huang J., Swartzlander D.B. et al: Defining the comprehensive genomic landscapes of pancreatic ductal adenocarcinoma using real-world endoscopic aspiration samples. Clin Cancer Res 2021; 27: 1082.","journal-title":"Clin Cancer Res"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms9971"},{"key":"e_1_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41416-019-0479-5"},{"key":"e_1_3_3_10_2","doi-asserted-by":"publisher","DOI":"10.1038\/nrdp.2016.22"},{"key":"e_1_3_3_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.trecan.2021.06.009"},{"key":"e_1_3_3_12_2","doi-asserted-by":"publisher","DOI":"10.3390\/biomedicines5040065"},{"key":"e_1_3_3_13_2","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1159\/000477773","article-title":"Tumor heterogeneity in pancreatic adenocarcinoma","volume":"85","author":"Cros J.","year":"2018","unstructured":"Cros J., Raffenne J., Couvelard A. and Pot\u00e9 N.: Tumor heterogeneity in pancreatic adenocarcinoma. Pathobiology 2018; 85: 64.","journal-title":"Pathobiology"},{"key":"e_1_3_3_14_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0142631"},{"key":"e_1_3_3_15_2","doi-asserted-by":"crossref","first-page":"e1006596","DOI":"10.1371\/journal.pcbi.1006596","article-title":"Whole genomes define concordance of matched primary, xenograft, and organoid models of pancreas cancer","volume":"15","author":"Gendoo D.M.A.","year":"2019","unstructured":"Gendoo D.M.A., Denroche R.E., Zhang A., Radulovich N., Jang G.H., Lemire M. et al: Whole genomes define concordance of matched primary, xenograft, and organoid models of pancreas cancer. PLOS Comput Biol 2019; 15: e1006596.","journal-title":"PLOS Comput Biol"},{"key":"e_1_3_3_16_2","doi-asserted-by":"publisher","DOI":"10.1038\/ng.3967"},{"key":"e_1_3_3_17_2","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1038\/s42003-020-1077-z","article-title":"Evaluation of molecular subtypes and clonal selection during establishment of patient-derived tumor xenografts from gastric adenocarcinoma","volume":"3","author":"Peille A.L.","year":"2020","unstructured":"Peille A.L., Vuaroqueaux V., Wong S.S., Ting J., Klingner K., Zeitouni B. et al: Evaluation of molecular subtypes and clonal selection during establishment of patient-derived tumor xenografts from gastric adenocarcinoma. Commun Biol 2020; 3: 367.","journal-title":"Commun Biol"},{"key":"e_1_3_3_18_2","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1016\/j.pharmthera.2017.02.013","article-title":"Pancreatic cancer models for translational research","volume":"173","author":"Behrens D.","year":"2017","unstructured":"Behrens D., Walther W. and Fichtner I.: Pancreatic cancer models for translational research. Pharmacol Ther 2017; 173: 146.","journal-title":"Pharmacol Ther"},{"key":"e_1_3_3_19_2","doi-asserted-by":"publisher","DOI":"10.1093\/jnci\/djt007"},{"key":"e_1_3_3_20_2","doi-asserted-by":"publisher","DOI":"10.3390\/cells8010074"},{"key":"e_1_3_3_21_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0048503"},{"key":"e_1_3_3_22_2","doi-asserted-by":"publisher","DOI":"10.1097\/MPA.0b013e3181c15963"},{"key":"e_1_3_3_23_2","doi-asserted-by":"publisher","DOI":"10.1158\/0008-5472.CAN-07-0108"},{"key":"e_1_3_3_24_2","doi-asserted-by":"publisher","DOI":"10.1038\/nature11003"},{"key":"e_1_3_3_25_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-019-1186-3"},{"key":"e_1_3_3_26_2","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gky1015"},{"key":"e_1_3_3_27_2","doi-asserted-by":"publisher","DOI":"10.1038\/nature08987"},{"key":"e_1_3_3_28_2","doi-asserted-by":"crossref","unstructured":"Jabs J Zickgraf FM Park J Wagner S Jiang X Jechow K et al. Screening drug effects in patient-derived cancer cells links organoid responses to genome alterations. Mol Syst Biol. 2017;13:955. 10.15252\/msb.20177697.","DOI":"10.15252\/msb.20177697"},{"key":"e_1_3_3_29_2","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1186\/s13045-018-0662-9","article-title":"Organoid technology and applications in cancer research","volume":"11","author":"Xu H.","year":"2018","unstructured":"Xu H., Lyu X., Yi M., Zhao W., Song Y. and Wu K.: Organoid technology and applications in cancer research. J Hematol Oncol 2018; 11: 116.","journal-title":"J Hematol Oncol"},{"key":"e_1_3_3_30_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41580-020-0259-3"},{"key":"e_1_3_3_31_2","doi-asserted-by":"publisher","DOI":"10.1038\/nm.3973"},{"key":"e_1_3_3_32_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.stem.2017.12.009"},{"key":"e_1_3_3_33_2","doi-asserted-by":"publisher","DOI":"10.1158\/2159-8290.CD-18-0349"},{"key":"e_1_3_3_34_2","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1911273116"},{"key":"e_1_3_3_35_2","doi-asserted-by":"publisher","DOI":"10.1158\/1541-7786.MCR-18-0531"},{"key":"e_1_3_3_36_2","doi-asserted-by":"publisher","DOI":"10.1097\/SLA.0000000000004200"},{"key":"e_1_3_3_37_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-26059-4"},{"key":"e_1_3_3_38_2","doi-asserted-by":"crossref","first-page":"398","DOI":"10.1186\/s12935-021-02044-1","article-title":"A pancreas tumor derived organoid study: from drug screen to precision medicine","volume":"21","author":"Yao J.","year":"2021","unstructured":"Yao J., Yang M., Atteh L., Liu P., Mao Y., Meng W. et al: A pancreas tumor derived organoid study: from drug screen to precision medicine. Cancer Cell Int 2021; 21: 398.","journal-title":"Cancer Cell Int"},{"key":"e_1_3_3_39_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.gie.2017.12.032"},{"key":"e_1_3_3_40_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0182855"},{"key":"e_1_3_3_41_2","doi-asserted-by":"publisher","DOI":"10.1158\/2159-8290.CD-14-0001"},{"key":"e_1_3_3_42_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41588-020-00750-6"},{"key":"e_1_3_3_43_2","unstructured":"The NCI. Patient-Derived Models Repository (PDMR) https:\/\/pdmr.cancer.gov\/; 2022 [Internet]. Frederick National Laboratory for Cancer Research. last modified Sep 1 2021 accessed March 12 2022."},{"key":"e_1_3_3_44_2","doi-asserted-by":"crossref","first-page":"e67","DOI":"10.1158\/0008-5472.CAN-17-0584","article-title":"The mouse tumor biology database: a comprehensive resource for mouse models of human cancer","volume":"77","author":"Krupke D.M.","year":"2017","unstructured":"Krupke D.M., Begley D.A., Sundberg J.P., Richardson J.E., Neuhauser S.B. and Bult C.J.: The mouse tumor biology database: a comprehensive resource for mouse models of human cancer. Cancer Res 2017; 77: e67.","journal-title":"Cancer Res"},{"key":"e_1_3_3_45_2","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1186\/s12864-022-08367-1","article-title":"The EurOPDX Data Portal: an open platform for patient-derived cancer xenograft data sharing and visualization","volume":"23","author":"Dudov\u00e1 Z.","year":"2022","unstructured":"Dudov\u00e1 Z., Conte N., Mason J., Stuchl\u00edk D., Pe\u0161a R., Halmagyi C. et al: The EurOPDX Data Portal: an open platform for patient-derived cancer xenograft data sharing and visualization. BMC Genomics 2022; 23: 156.","journal-title":"BMC Genomics"},{"key":"e_1_3_3_46_2","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.aay9691"},{"key":"e_1_3_3_47_2","doi-asserted-by":"publisher","DOI":"10.1158\/1535-7163.MCT-06-0686"},{"key":"e_1_3_3_48_2","doi-asserted-by":"publisher","DOI":"10.1002\/ijc.32662"},{"key":"e_1_3_3_49_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41568-021-00418-1"},{"key":"e_1_3_3_50_2","doi-asserted-by":"publisher","DOI":"10.1038\/onc.2013.29"},{"key":"e_1_3_3_51_2","doi-asserted-by":"publisher","DOI":"10.1053\/j.gastro.2011.12.042"},{"key":"e_1_3_3_52_2","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1186\/s13046-020-01787-5","article-title":"Preclinical models of pancreatic ductal adenocarcinoma: challenges and opportunities in the era of precision medicine","volume":"40","author":"Yu Y.","year":"2021","unstructured":"Yu Y., Yang G., Huang H., Fu Z., Cao Z., Zheng L. et al: Preclinical models of pancreatic ductal adenocarcinoma: challenges and opportunities in the era of precision medicine. J Exp Clin Cancer Res 2021; 40: 8.","journal-title":"J Exp Clin Cancer Res"},{"key":"e_1_3_3_53_2","doi-asserted-by":"publisher","DOI":"10.1038\/nature14169"},{"key":"e_1_3_3_54_2","doi-asserted-by":"publisher","DOI":"10.1136\/gutjnl-2016-313133"},{"key":"e_1_3_3_55_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ccell.2017.07.007"},{"key":"e_1_3_3_56_2","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2407-10-295"},{"key":"e_1_3_3_57_2","article-title":"Precision medicine in pancreatic cancer: patient derived organoid pharmacotyping is a predictive biomarker of clinical treatment response","author":"Sepp\u00e4l\u00e4 T.T.","year":"2022","unstructured":"Sepp\u00e4l\u00e4 T.T., Zimmerman J.W., Suri R., Zlomke H., Ivey G.D., Szabolcs A. et al: Precision medicine in pancreatic cancer: patient derived organoid pharmacotyping is a predictive biomarker of clinical treatment response. Clin Cancer Res 2022; .","journal-title":"Clin Cancer Res"},{"key":"e_1_3_3_58_2","doi-asserted-by":"publisher","DOI":"10.1038\/nm.2344"},{"key":"e_1_3_3_59_2","doi-asserted-by":"publisher","DOI":"10.1038\/ng.3398"},{"key":"e_1_3_3_60_2","doi-asserted-by":"publisher","DOI":"10.1038\/nature16965"},{"key":"e_1_3_3_61_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41575-019-0109-y"},{"key":"e_1_3_3_62_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41588-019-0566-9"},{"key":"e_1_3_3_63_2","doi-asserted-by":"publisher","DOI":"10.1158\/1078-0432.CCR-20-2831"},{"key":"e_1_3_3_64_2","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.omtn.2021.06.015","article-title":"Integrative analysis reveals clinically relevant molecular fingerprints in pancreatic cancer","volume":"26","author":"Song L.","year":"2021","unstructured":"Song L., Qi S., Hu W., Fang Z., Yu D., Liu T. et al: Integrative analysis reveals clinically relevant molecular fingerprints in pancreatic cancer. Mol Ther Nucleic Acids 2021; 26: 11.","journal-title":"Mol Ther Nucleic Acids"},{"key":"e_1_3_3_65_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2021.11.017"},{"key":"e_1_3_3_66_2","doi-asserted-by":"publisher","DOI":"10.1158\/1078-0432.CCR-15-2432"},{"key":"e_1_3_3_67_2","doi-asserted-by":"publisher","DOI":"10.1586\/erm.11.62"},{"key":"e_1_3_3_68_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00428-006-0191-8"},{"key":"e_1_3_3_69_2","doi-asserted-by":"crossref","first-page":"1377","DOI":"10.1038\/s41467-017-01470-y","article-title":"Prevalence and detection of low-allele-fraction variants in clinical cancer samples","volume":"8","author":"Shin H.T.","year":"2017","unstructured":"Shin H.T., Choi Y.L., Yun J.W., Kim N.K.D., Kim S.Y., Jeon H.J. et al: Prevalence and detection of low-allele-fraction variants in clinical cancer samples. Nat Commun 2017; 8: 1377.","journal-title":"Nat Commun"},{"key":"e_1_3_3_70_2","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms7744"},{"key":"e_1_3_3_71_2","doi-asserted-by":"publisher","DOI":"10.1158\/2159-8290.CD-18-0275"},{"key":"e_1_3_3_72_2","doi-asserted-by":"crossref","DOI":"10.1093\/bioinformatics\/bts236","article-title":"Xenome\u2013a tool for classifying reads from xenograft samples","volume":"28","author":"Conway T.","year":"2012","unstructured":"Conway T., Wazny J., Bromage A., Tymms M., Sooraj D., Williams E.D. et al: Xenome\u2013a tool for classifying reads from xenograft samples. Bioinformatics 2012; 28. i172\u2013i178.","journal-title":"Bioinformatics"},{"key":"e_1_3_3_73_2","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1186\/s12920-019-0551-2","article-title":"Genomic data analysis workflows for tumors from patient-derived xenografts (PDXs): challenges and guidelines","volume":"12","author":"Woo X.Y.","year":"2019","unstructured":"Woo X.Y., Srivastava A., Graber J.H., Yadav V., Sarsani V.K., Simons A. et al: Genomic data analysis workflows for tumors from patient-derived xenografts (PDXs): challenges and guidelines. BMC Med Genomics 2019; 12: 92.","journal-title":"BMC Med Genomics"},{"key":"e_1_3_3_74_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-019-11415-2"},{"key":"e_1_3_3_75_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-020-3034-x"}],"container-title":["Computational and Structural Biotechnology Journal"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2001037022003981?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2001037022003981?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/spj.science.org\/doi\/pdf\/10.1016\/j.csbj.2022.08.064","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,17]],"date-time":"2026-05-17T15:50:02Z","timestamp":1779033002000},"score":1,"resource":{"primary":{"URL":"https:\/\/spj.science.org\/doi\/10.1016\/j.csbj.2022.08.064"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1]]},"references-count":74,"alternative-id":["10.1016\/j.csbj.2022.08.064"],"URL":"https:\/\/doi.org\/10.1016\/j.csbj.2022.08.064","relation":{},"ISSN":["2001-0370"],"issn-type":[{"value":"2001-0370","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Challenges in genomic analysis of model systems and primary tumors of pancreatic ductal adenocarcinoma","name":"articletitle","label":"Article Title"},{"value":"Computational and Structural Biotechnology Journal","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.csbj.2022.08.064","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 The Author(s). Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology.","name":"copyright","label":"Copyright"}]}}