{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,25]],"date-time":"2026-01-25T17:07:10Z","timestamp":1769360830742,"version":"3.49.0"},"publisher-location":"New York, NY","reference-count":61,"publisher":"Springer US","isbn-type":[{"value":"9781071618387","type":"print"},{"value":"9781071618394","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,12,14]],"date-time":"2021-12-14T00:00:00Z","timestamp":1639440000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,12,14]],"date-time":"2021-12-14T00:00:00Z","timestamp":1639440000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-1-0716-1839-4_19","type":"book-chapter","created":{"date-parts":[[2021,12,13]],"date-time":"2021-12-13T11:04:20Z","timestamp":1639393460000},"page":"289-314","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Using MMRFBiolinks R-Package for Discovering Prognostic Markers in Multiple Myeloma"],"prefix":"10.1007","author":[{"given":"Marzia","family":"Settino","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mario","family":"Cannataro","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,12,14]]},"reference":[{"issue":"22","key":"19_CR1","doi-asserted-by":"publisher","first-page":"5434","DOI":"10.1158\/1078-0432.CCR-16-0867","volume":"22","author":"R Szalat","year":"2016","unstructured":"Szalat R, Avet-Loiseau H, Munshi NC (2016) Gene expression profiles in myeloma: ready for the real world? Clin Cancer Res 22(22):5434\u20135442","journal-title":"Clin Cancer Res"},{"issue":"1","key":"19_CR2","doi-asserted-by":"publisher","first-page":"4533","DOI":"10.1038\/s41467-019-12296-1","volume":"10","author":"S Gooding","year":"2019","unstructured":"Gooding S, Olechnowicz SWZ, Morris EV, Armitage AE, Arezes J, Frost J, Repapi E, Edwards JR, Ashley N, Waugh C, Gray N, Martinez-Hackert E, Lim PJ, Pasricha SR, Knowles H, Mead AJ, Ramasamy K, Drakesmith H, Edwards CM (2019) Transcriptomic profiling of the myeloma bone-lining niche reveals BMP signalling inhibition to improve bone disease. Nat Commun 10(1):4533","journal-title":"Nat Commun"},{"issue":"11","key":"19_CR3","doi-asserted-by":"publisher","first-page":"2406","DOI":"10.1038\/leu.2012.127","volume":"26","author":"R Kuiper","year":"2012","unstructured":"Kuiper R, Broyl A, de Knegt Y, van Vliet MH, van Beers EH, van der Holt B, el Jarari L, Mulligan G, Gregory W, Morgan G, Goldschmidt H, Lokhorst HM, van Duin M, Sonneveld P (2012) A gene expression signature for high-risk multiple myeloma. Leukemia 26(11):2406\u20132413","journal-title":"Leukemia"},{"issue":"5","key":"19_CR4","doi-asserted-by":"publisher","first-page":"1071","DOI":"10.1038\/leu.2015.341","volume":"30","author":"WJ Chng","year":"2016","unstructured":"Chng WJ, Chung TH, Kumar S, Usmani S, Munshi N, Avet-Loiseau H, Goldschmidt H, Durie B, Sonneveld P (2016) Gene signature combinations improve prognostic stratification of multiple myeloma patients. Leukemia 30(5):1071\u20131078","journal-title":"Leukemia"},{"issue":"4","key":"19_CR5","doi-asserted-by":"publisher","first-page":"40","DOI":"10.3390\/ht7040040","volume":"7","author":"M Arbitrio","year":"2018","unstructured":"Arbitrio M, Di Martino MT, Scionti F, Barbieri V, Pensabene L, Tagliaferri P (2018) Pharmacogenomic profiling of ADME gene variants: current challenges and validation perspectives. High Throughput 7(4):40","journal-title":"High Throughput"},{"key":"19_CR6","doi-asserted-by":"publisher","first-page":"54028","DOI":"10.18632\/oncotarget.9927","volume":"7","author":"M Arbitrio","year":"2016","unstructured":"Arbitrio M, Di Martino MT, Scionti F, Agapito G, Guzzi P, Cannataro M, Tassone P, Tagliaferri P (2016) DMETTM (drug metabolism enzymes and transporters): a Pharmacogenomic platform for precision medicine. Oncotarget 7:54028\u201354050","journal-title":"Oncotarget"},{"issue":"4","key":"19_CR7","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1111\/j.1365-2141.2011.08622.x","volume":"154","author":"MT Di Martino","year":"2011","unstructured":"Di Martino MT, Arbitrio M, Guzzi PH, Leone E, Baudi F, Piro E, Prantera T, Cucinotto I, Calimeri T, Rossi M, Veltri P, Cannataro M, Tagliaferri P, Tassone P (2011) A peroxisome proliferator-activated receptor gamma (PPARG) polymorphism is associated with zoledronic acid-related osteonecrosis of the jaw in multiple myeloma patients: analysis by DMET microarray profiling. Br J Haematol 154(4):529\u2013533","journal-title":"Br J Haematol"},{"issue":"9","key":"19_CR8","doi-asserted-by":"publisher","first-page":"780","DOI":"10.4161\/cbt.12.9.17781","volume":"12","author":"MT Di Martino","year":"2011","unstructured":"Di Martino MT, Arbitrio M, Leone E, Guzzi PH, Rotundo MS, Ciliberto D, Tomaino V, Fabiani F, Talarico D, Sperlongano P, Doldo P, Cannataro M, Caraglia M, Tassone P, Tagliaferri P (2011) Single nucleotide polymorphisms of ABCC5 and ABCG1 transporter genes correlate to irinotecan-associated gastrointestinal toxicity in colorectal cancer patients: a DMET microarray profiling study. Cancer Biol Ther 12(9):780\u2013787","journal-title":"Cancer Biol Ther"},{"issue":"1","key":"19_CR9","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1007\/s00280-015-2916-3","volume":"77","author":"M Arbitrio","year":"2016","unstructured":"Arbitrio M, Di Martino MT, Barbieri V, Agapito G, Guzzi PH, Botta C, Iuliano E, Scionti F, Altomare E, Codispoti S, Conforti S, Cannataro M, Tassone P, Tagliaferri P (2016) Identification of polymorphic variants associated with erlotinib-related skin toxicity in advanced non-small cell lung cancer patients by DMET microarray analysis. Cancer Chemother Pharmacol 77(1):205\u2013209","journal-title":"Cancer Chemother Pharmacol"},{"issue":"52","key":"19_CR10","doi-asserted-by":"publisher","first-page":"85895","DOI":"10.18632\/oncotarget.13135","volume":"7","author":"MT Di Martino","year":"2016","unstructured":"Di Martino MT, Scionti F, Sestito S, Nicoletti A, Arbitrio M, Hiram Guzzi P, Talarico V, Altomare F, Sanseviero MT, Agapito G, Pisani A, Riccio E, Borrelli O, Concolino D, Pensabene L (2016) Genetic variants associated with gastrointestinal symptoms in Fabry disease. Oncotarget 7(52):85895\u201385904","journal-title":"Oncotarget"},{"issue":"2","key":"19_CR11","doi-asserted-by":"publisher","first-page":"422","DOI":"10.1002\/cpt.1391","volume":"106","author":"M Arbitrio","year":"2019","unstructured":"Arbitrio M, Scionti F, Altomare E, Di Martino MT, Agapito G, Galeano T, Staropoli N, Iuliano E, Grillone F, Fabiani F, Caracciolo D, Cannataro M, Arpino G, Santini D, Tassone P, Tagliaferri P (2019) Polymorphic variants in NR1I3 and UGT2B7 predict taxane neurotoxicity and have prognostic relevance in patients with breast cancer: a case-control study. Clin Pharmacol Ther 106(2):422\u2013431","journal-title":"Clin Pharmacol Ther"},{"issue":"64","key":"19_CR12","doi-asserted-by":"publisher","first-page":"107558","DOI":"10.18632\/oncotarget.22505","volume":"8","author":"F Scionti","year":"2017","unstructured":"Scionti F, Di Martino MT, Sestito S, Nicoletti A, Falvo F, Roppa K, Arbitrio M, Guzzi PH, Agapito G, Pisani A, Riccio E, Concolino D, Pensabene L (2017) Genetic variants associated with Fabry disease progression despite enzyme replacement therapy. Oncotarget 8(64):107558\u2013107564","journal-title":"Oncotarget"},{"issue":"2","key":"19_CR13","doi-asserted-by":"publisher","first-page":"8","DOI":"10.3390\/ht9020008","volume":"9","author":"G Agapito","year":"2020","unstructured":"Agapito G, Settino M, Scionti F, Altomare E, Guzzi PH, Tassone P, Tagliaferri P, Cannataro M, Arbitrio M, Di Martino MT (2020) DMETTM genotyping: tools for biomarkers discovery in the era of precision medicine. High Throughput 9(2):8","journal-title":"High Throughput"},{"key":"19_CR14","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1016\/j.jbi.2015.06.005","volume":"56","author":"G Agapito","year":"2015","unstructured":"Agapito G, Guzzi P, Cannataro M (2015) DMET-Miner: Efficient discovery of association rules from pharmacogenomic data. J Biomed Inform 56:273\u2013283","journal-title":"J Biomed Inform"},{"issue":"6","key":"19_CR15","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1136\/archdischild-2013-304340","volume":"98","author":"S Behjati","year":"2013","unstructured":"Behjati S, Tarpey PS (2013) What is next generation sequencing? Arch Dis Child Educ Pract Ed 98(6):236\u2013238","journal-title":"Arch Dis Child Educ Pract Ed"},{"issue":"3","key":"19_CR16","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1093\/bfgp\/elp013","volume":"8","author":"PJ Hurd","year":"2009","unstructured":"Hurd PJ, Nelson CJ (2009) Advantages of next-generation sequencing versus the microarray in epigenetic research. Brief Funct Genomic Proteomic 8(3):174\u2013183","journal-title":"Brief Funct Genomic Proteomic"},{"issue":"6","key":"19_CR17","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1016\/j.tibtech.2010.03.001","volume":"28","author":"SW Roh","year":"2010","unstructured":"Roh SW, Abell GC, Kim K-H, Nam Y-D, Bae J-W (2010) Comparing microarrays and next-generation sequencing technologies for microbial ecology research. Trends Biotechnol 28(6):291\u2013299","journal-title":"Trends Biotechnol"},{"issue":"1","key":"19_CR18","first-page":"33","volume":"2","author":"C-Y Lee","year":"2013","unstructured":"Lee C-Y, Chiu Y-C, Wang L-B, Kuo Y-L, Chuang EY, Lai L-C, Tsai M-H (2013) Common applications of next-generation sequencing technologies in genomic research. Transl Cancer Res 2(1):33\u201345","journal-title":"Transl Cancer Res"},{"key":"19_CR19","doi-asserted-by":"publisher","first-page":"636","DOI":"10.3389\/fgene.2018.00636","volume":"9","author":"MS Rao","year":"2019","unstructured":"Rao MS, Van Vleet TR, Ciurlionis R, Buck WR, Mittelstadt SW, Blomme EAG, Liguori MJ (2019) Comparison of RNA-Seq and microarray gene expression platforms for the toxicogenomic evaluation of liver from short-term rat toxicity studies. Front Genet 9:636","journal-title":"Front Genet"},{"issue":"8","key":"19_CR20","doi-asserted-by":"publisher","first-page":"e71","DOI":"10.1093\/nar\/gkv1507","volume":"44","author":"A Colaprico","year":"2015","unstructured":"Colaprico A, Chedraoui Silva T, Olsen C, Garofano L, Cava C, Garolini D, Sarraf Sabedot T, Malta T, Pagnotta S, Castiglioni I, Ceccarelli M, Bontempi G, Noushmehr H (2015) TCGAbiolinks: an R\/Bioconductor package for integrative analysis of TCGA data. Nucleic Acids Res 44(8):e71","journal-title":"Nucleic Acids Res"},{"key":"19_CR21","doi-asserted-by":"publisher","first-page":"1542","DOI":"10.12688\/f1000research.8923.1","volume":"5","author":"TC Silva","year":"2016","unstructured":"Silva TC, Colaprico A, Olsen C, D\u2019Angelo F, Bontempi G, Ceccarelli M, Noushmehr H (2016) TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages. F1000Res 5:1542","journal-title":"F1000Res"},{"issue":"8","key":"19_CR22","doi-asserted-by":"publisher","first-page":"e71","DOI":"10.1093\/nar\/gkv1507","volume":"44","author":"A Colaprico","year":"2016","unstructured":"Colaprico A, Silva TC, Olsen C, Garofano L, Cava C, Garolini D, Sabedot TS, Malta TM, Pagnotta SM, Castiglioni I, Ceccarelli M, Bontempi G, Noushmehr H (2016) TCGAbiolinks: an R\/Bioconductor package for integrative analysis of TCGA data. Nucleic Acids Res 44(8):e71","journal-title":"Nucleic Acids Res"},{"key":"19_CR23","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1006701","volume":"15","author":"M Mounir","year":"2019","unstructured":"Mounir M, Lucchetta M, Chedraoui Silva T, Olsen C, Bontempi G, Chen X, Noushmehr H, Colaprico A, Papaleo E (2019) New functionalities in the TCGAbiolinks package for the study and integration of cancer data from GDC and GTEx. PLoS Comput Biol 15:e1006701","journal-title":"PLoS Comput Biol"},{"key":"19_CR24","doi-asserted-by":"publisher","first-page":"564","DOI":"10.1007\/978-3-030-50420-5_42","volume-title":"Computational science \u2013 ICCS 2020","author":"M Settino","year":"2020","unstructured":"Settino M, Arbitrio M, Scionti F, Caracciolo D, Martino MD, Tagliaferri P, Tassone P, Cannataro M (2020) MMRF-CoMMpass data integration and analysis for identifying prognostic markers. In: Krzhizhanovskaya VV, Z\u00e1vodszky G, Lees MH, Dongarra JJ, Sloot PMA, Brissos S, Teixeira J (eds) Computational science \u2013 ICCS 2020. Springer International Publishing, Cham, pp 564\u2013571"},{"key":"19_CR25","doi-asserted-by":"publisher","first-page":"101346","DOI":"10.1016\/j.jocs.2021.101346","volume":"51","author":"M Settino","year":"2021","unstructured":"Settino M, Arbitrio M, Scionti F, Caracciolo D, Agapito G, Tassone P, Tagliaferri P, Di Martino MT, Cannataro M (2021) Identifying prognostic markers for multiple myeloma through integration and analysis of MMRF-CoMMpass data. J Comput Sci 51:101346","journal-title":"J Comput Sci"},{"key":"19_CR26","doi-asserted-by":"crossref","unstructured":"Settino M, Cannataro M (2021) MMRFBiolinks: an R-package for integrating and analyzing MMRF-CoMMpass data. Brief Bioinformatics bbab050","DOI":"10.1093\/bib\/bbab050"},{"issue":"6","key":"19_CR27","doi-asserted-by":"publisher","first-page":"1105","DOI":"10.3324\/haematol.2016.161414","volume":"102","author":"A Oberle","year":"2017","unstructured":"Oberle A, Brandt A, Voigtlaender M, Thiele B, Radloff J, Schulenkorf A, Alawi M, Aky\u00c3ijz N, M\u00c3\u010frz M, Ford CT, Krohn-Grimberghe A, Binder M (2017) Monitoring multiple myeloma by next-generation sequencing of V(D)J rearrangements from circulating myeloma cells and cell-free myeloma DNA. Haematologica 102(6):1105\u20131111","journal-title":"Haematologica"},{"issue":"8","key":"19_CR28","doi-asserted-by":"publisher","first-page":"e328","DOI":"10.1016\/S1470-2045(16)30206-6","volume":"17","author":"S Kumar","year":"2016","unstructured":"Kumar S, Paiva B, Anderson K, Durie B, Landgren O, Moreau P, Munshi N, Lonial S, Blad\u00e9 J, Mateos M, Dimopoulos M, Kastritis E, Boccadoro M, Orlowski R, Goldschmidt H, Spencer A, Hou J, Chng W, Usmani S, Zamagni E, Shimizu K, Jagannath S, Johnsen H, Terpos E, Reiman A, Kyle R, Sonneveld P, Richardson P, McCarthy P, Ludwig H, Chen W, Cavo M, Harousseau J, Lentzsch S, Hillenga\u00df J, Palumbo A, Orfao A, Rajkumar S, Miguel J, Avet-Loiseau H (2016) International myeloma working group consensus criteria for response and minimal residual disease assessment in multiple myeloma. Lancet Oncol 17(8):e328\u2013e346","journal-title":"Lancet Oncol"},{"issue":"1","key":"19_CR29","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1038\/s41408-018-0160-x","volume":"9","author":"JS Jang","year":"2019","unstructured":"Jang JS, Li Y, Mitra AK, Bi L, Abyzov A, van Wijnen AJ, Baughn LB, Van Ness B, Rajkumar V, Kumar S, Jen J (2019) Molecular signatures of multiple myeloma progression through single cell RNA-Seq. Blood Cancer J 9(1):2","journal-title":"Blood Cancer J"},{"issue":"4","key":"19_CR30","doi-asserted-by":"publisher","first-page":"453","DOI":"10.1182\/blood-2017-03-735654","volume":"130","author":"MA Jensen","year":"2017","unstructured":"Jensen MA, Ferretti V, Grossman RL, Staudt LM (2017) The NCI genomic data commons as an engine for precision medicine. Blood 130(4):453\u2013459","journal-title":"Blood"},{"issue":"5","key":"19_CR31","doi-asserted-by":"publisher","first-page":"1045","DOI":"10.1016\/j.cell.2018.08.012","volume":"174","author":"JS Lee","year":"2018","unstructured":"Lee JS, Kibbe WA, Grossman RL (2018) Data harmonization for a molecularly driven health system. Cell 174(5):1045\u20131048","journal-title":"Cell"},{"issue":"10","key":"19_CR32","doi-asserted-by":"publisher","first-page":"1113","DOI":"10.1038\/ng.2764","volume":"45","author":"JN Weinstein","year":"2013","unstructured":"Weinstein JN et al (2013) The cancer genome atlas pan-cancer analysis project. Nat Genet 45(10):1113\u20131120","journal-title":"Nat Genet"},{"issue":"12","key":"19_CR33","doi-asserted-by":"publisher","first-page":"giz153","DOI":"10.1093\/gigascience\/giz153","volume":"8","author":"C Sun","year":"2019","unstructured":"Sun C, Li H, Mills RE, Guan Y (2019) Prognostic model for multiple myeloma progression integrating gene expression and clinical features. Gigascience 8(12):giz153","journal-title":"Gigascience"},{"issue":"3","key":"19_CR34","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0204542","volume":"14","author":"M Rupji","year":"2019","unstructured":"Rupji M, Dwivedi B, Kowalski J (2019) NOJAH: NOt just another Heatmap for genome-wide cluster analysis. PLoS One 14(3):e0204542","journal-title":"PLoS One"},{"issue":"1","key":"19_CR35","doi-asserted-by":"publisher","first-page":"2943","DOI":"10.1038\/s41467-018-05348-5","volume":"9","author":"J Ubels","year":"2018","unstructured":"Ubels J, Sonneveld P, van Beers EH, Broijl A, van Vliet MH, de Ridder J (2018) Predicting treatment benefit in multiple myeloma through simulation of alternative treatment effects. Nat Commun 9(1):2943","journal-title":"Nat Commun"},{"issue":"10","key":"19_CR36","doi-asserted-by":"publisher","first-page":"1452","DOI":"10.3390\/cancers11101452","volume":"11","author":"Y Liu","year":"2019","unstructured":"Liu Y, Yu H, Yoo S, Lee E, Lagan\u00e0 A, Parekh S, Schadt EE, Wang L, Zhu J (2019) A network analysis of multiple myeloma related gene signatures. Cancers (Basel) 11(10):1452","journal-title":"Cancers (Basel)"},{"key":"19_CR37","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1007\/978-1-4939-3578-9_5","volume":"1418","author":"E Clough","year":"2016","unstructured":"Clough E, Barrett T (2016) The gene expression omnibus database. Methods Mol Biol 1418:93\u2013110","journal-title":"Methods Mol Biol"},{"issue":"Database issue","key":"19_CR38","first-page":"D991","volume":"41","author":"T Barrett","year":"2013","unstructured":"Barrett T, Wilhite SE, Ledoux P, Evangelista C, Kim IF, Tomashevsky M, Marshall A, Phillippy KH, Sherman PM, Holko M, Yefanov A, Lee H, Zhang N, Robertson CL, Serova N, Davis S, Soboleva A (2013) NCBI GEO: archive for functional genomics data sets\u2013update. Nucleic Acids Res 41(Database issue):D991\u2013D995","journal-title":"Nucleic Acids Res"},{"issue":"2","key":"19_CR39","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1093\/bfgp\/elu035","volume":"14","author":"F Finotello","year":"2014","unstructured":"Finotello F, Di Camillo B (2014) Measuring differential gene expression with RNA-seq: challenges and strategies for data analysis. Brief Funct Genomics 14(2):130\u2013142","journal-title":"Brief Funct Genomics"},{"issue":"6","key":"19_CR40","doi-asserted-by":"publisher","first-page":"2044","DOI":"10.1093\/bib\/bby067","volume":"20","author":"A McDermaid","year":"2019","unstructured":"McDermaid A, Monier B, Zhao J, Liu B, Ma Q (2019) Interpretation of differential gene expression results of RNA-seq data: review and integration. Brief Bioinform 20(6):2044\u20132054","journal-title":"Brief Bioinform"},{"issue":"2","key":"19_CR41","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1038\/sj.bjc.6601118","volume":"89","author":"TG Clark","year":"2003","unstructured":"Clark TG, Bradburn MJ, Love SB, Altman DG (2003) Survival analysis part I: basic concepts and first analyses. Br J Cancer 89(2):232\u2013238","journal-title":"Br J Cancer"},{"issue":"282","key":"19_CR42","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1080\/01621459.1958.10501452","volume":"53","author":"EL Kaplan","year":"1958","unstructured":"Kaplan EL, Meier P (1958) Nonparametric estimation from incomplete observations. J Am Stat Assoc 53(282):457\u2013481","journal-title":"J Am Stat Assoc"},{"issue":"2","key":"19_CR43","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1038\/nmeth.3252","volume":"12","author":"W Huber","year":"2015","unstructured":"Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Ole\u015b AK, Pag\u00e8s H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015) Orchestrating high-throughput genomic analysis with Bioconductor. Nat Methods 12(2):115\u2013121","journal-title":"Nat Methods"},{"key":"19_CR44","unstructured":"Fritz A, Percy C, Jack A, Shanmugaratnam K, Sobin, LH, Parkin DM, Whelan SL, Organization WH (2000) \u201cInternational classification of diseases for oncology\u201d., pp. English edition reprinted in 2001,2005, 2007, 2009, 2012."},{"key":"19_CR45","doi-asserted-by":"crossref","unstructured":"O\u2019Connell FP, Pinkus JL, Pinkus GS (01, 2004) CD138 (Syndecan-1), a plasma cellmarker: Immunohistochemical profile in hematopoietic and nonhematopoietic neoplasms. Am J Clin Pathol 121(2): 254\u2013263","DOI":"10.1309\/617DWB5GNFWXHW4L"},{"key":"19_CR46","doi-asserted-by":"publisher","first-page":"480","DOI":"10.1186\/1471-2105-12-480","volume":"12","author":"D Risso","year":"2011","unstructured":"Risso D, Schwartz K, Sherlock G, Dudoit S (2011) GC-content normalization for RNA-Seq data. BMC Bioinformatics 12:480","journal-title":"BMC Bioinformatics"},{"key":"19_CR47","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1186\/1471-2105-11-94","volume":"11","author":"JH Bullard","year":"2010","unstructured":"Bullard JH, Purdom E, Hansen KD, Dudoit S (2010) Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments. BMC Bioinformatics 11:94","journal-title":"BMC Bioinformatics"},{"key":"19_CR48","doi-asserted-by":"publisher","first-page":"e328","DOI":"10.1016\/S1470-2045(16)30206-6","volume":"17","author":"S Kumar","year":"2016","unstructured":"Kumar S, Paiva B, Anderson K, Durie B, Landgren O, Moreau P, Munshi N, Lonial S, Blad\u00c3\u013e J, Mateos M, Dimopoulos M, Kastritis E, Boccadoro M, Orlowski R, Goldschmidt H, Spencer A, Hou J, Chng W, Usmani S, Avet-Loiseau H (2016) International myeloma working group consensus criteria for response and minimal residual disease assessment in multiple myeloma. Lancet Oncol 17:e328\u2013e346","journal-title":"Lancet Oncol"},{"issue":"9","key":"19_CR49","doi-asserted-by":"publisher","first-page":"1467","DOI":"10.1038\/sj.leu.2404284","volume":"20","author":"BG Durie","year":"2006","unstructured":"Durie BG, Harousseau JL, Miguel JS, Blad\u00e9 J, Barlogie B, Anderson K, Gertz M, Dimopoulos M, Westin J, Sonneveld P, Ludwig H, Gahrton G, Beksac M, Crowley J, Belch A, Boccadaro M, Cavo M, Turesson I, Joshua D, Vesole D, Kyle R, Alexanian R, Tricot G, Attal M, Merlini G, Powles R, Richardson P, Shimizu K, Tosi P, Morgan G, Rajkumar SV (2006) International uniform response criteria for multiple myeloma. Leukemia 20(9):1467\u20131473","journal-title":"Leukemia"},{"key":"19_CR50","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1097\/01.cco.0000198973.51615.fa","volume":"18","author":"O Zach","year":"2006","unstructured":"Zach O, Lutz D (2006) Tumor cell detection in peripheral blood and bone marrow. Curr Opin Oncol 18:48\u201356","journal-title":"Curr Opin Oncol"},{"issue":"1","key":"19_CR51","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1080\/10408340500526766","volume":"36","author":"AG Asuero","year":"2006","unstructured":"Asuero AG, Sayago A, Gonz\u00c3\u0105lez AG (2006) The correlation coefficient: an overview. Crit Rev Anal Chem 36(1):41\u201359","journal-title":"Crit Rev Anal Chem"},{"issue":"1","key":"19_CR52","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1093\/nar\/gkn923","volume":"37","author":"DW Huang","year":"2009","unstructured":"Huang DW, Sherman BT, Lempicki RA (2009) Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists. Nucleic Acids Res 37(1):1\u201313","journal-title":"Nucleic Acids Res"},{"issue":"12","key":"19_CR53","first-page":"7782","volume":"12","author":"X Li","year":"2020","unstructured":"Li X, Ning L, Zhang Q, Ge Y, Liu C, Bi S, Zeng X, Nong W, Wu S, Guo G, Xiao S, Luo B, Xie X (2020) Expression profile of ACTL8, CTCFL, OIP5 and XAGE3 in glioma and their prognostic significance: a retrospective clinical study. Am J Transl Res 12(12):7782\u20137796","journal-title":"Am J Transl Res"},{"key":"19_CR54","doi-asserted-by":"crossref","unstructured":"Kumar A, Sharma D, Aggarwal ML, Chacko KM, Bhatt TK (2016) Cancer\/testis antigens as molecular drug targets using network pharmacology. Tumour Biol","DOI":"10.1007\/s13277-016-5333-2"},{"issue":"14","key":"19_CR55","first-page":"3848","volume":"60","author":"V Martelange","year":"2000","unstructured":"Martelange V, De Smet C, De Plaen E, Lurquin C, Boon T (2000) Identification on a human sarcoma of two new genes with tumor-specific expression. Cancer Res 60(14):3848\u20133855","journal-title":"Cancer Res"},{"issue":"19","key":"19_CR56","doi-asserted-by":"publisher","first-page":"8169","DOI":"10.18632\/aging.102311","volume":"11","author":"WC Li","year":"2019","unstructured":"Li WC, Xiong ZY, Huang PZ, Liao YJ, Li QX, Yao ZC, Liao YD, Xu SL, Zhou H, Wang QL, Huang H, Zhang P, Lin JZ, Liu B, Ren J, Hu KP (2019) KCNK levels are prognostic and diagnostic markers for hepatocellular carcinoma. Aging (Albany NY) 11(19):8169\u20138182","journal-title":"Aging (Albany NY)"},{"issue":"4","key":"19_CR57","doi-asserted-by":"publisher","first-page":"1197","DOI":"10.1158\/0008-5472.CAN-07-5163","volume":"68","author":"I Voloshyna","year":"2008","unstructured":"Voloshyna I, Besana A, Castillo M, Matos T, Weinstein IB, Mansukhani M, Robinson RB, Cordon-Cardo C, Feinmark SJ (2008) TREK-1 is a novel molecular target in prostate cancer. Cancer Res 68(4):1197\u20131203","journal-title":"Cancer Res"},{"issue":"3","key":"19_CR58","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1093\/pcmedi\/pbz017","volume":"2","author":"M Chen","year":"2019","unstructured":"Chen M, Huang J (2019) The expanded role of fatty acid metabolism in cancer: new aspects and targets. Precis Clin Med 2(3):183\u2013191","journal-title":"Precis Clin Med"},{"key":"19_CR59","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1016\/j.exphem.2016.12.001","volume":"48","author":"TM Nguyen","year":"2017","unstructured":"Nguyen TM, Arthur A, Zannettino AC, Gronthos S (2017) EphA5 and EphA7 forward signaling enhances human hematopoietic stem and progenitor cell maintenance, migration, and adhesion via Rac1 activation. Exp Hematol 48:72\u201378","journal-title":"Exp Hematol"},{"key":"19_CR60","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1186\/s12935-020-1101-x","volume":"20","author":"R Zhang","year":"2020","unstructured":"Zhang R, Liu J, Zhang W, Hua L, Qian LT, Zhou SB (2020) EphA5 knock-down enhances the invasion and migration ability of esophageal squamous cell carcinoma via epithelial-mesenchymal transition through activating Wnt\/\u03b2-catenin pathway. Cancer Cell Int 20:20","journal-title":"Cancer Cell Int"},{"issue":"1","key":"19_CR61","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1186\/s13048-016-0292-1","volume":"9","author":"X Chen","year":"2016","unstructured":"Chen X, Wang X, Wei X, Wang J (2016) EphA5 protein, a potential marker for distinguishing histological grade and prognosis in ovarian serous carcinoma. J Ovarian Res 9(1):83","journal-title":"J Ovarian Res"}],"container-title":["Methods in Molecular Biology","Microarray Data Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-1-0716-1839-4_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,13]],"date-time":"2022-04-13T03:42:42Z","timestamp":1649821362000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-1-0716-1839-4_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,14]]},"ISBN":["9781071618387","9781071618394"],"references-count":61,"URL":"https:\/\/doi.org\/10.1007\/978-1-0716-1839-4_19","relation":{},"ISSN":["1064-3745","1940-6029"],"issn-type":[{"value":"1064-3745","type":"print"},{"value":"1940-6029","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,12,14]]},"assertion":[{"value":"14 December 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}