Kyle RA, Rajkumar SV. Multiple myeloma. N Engl J Med. 2004; 351(18):1860–73. doi:10.1056/NEJMra041875.
Article
PubMed
CAS
Google Scholar
Barlogie B, Tricot G, Anaissie E, Shaughnessy J, Rasmussen E, van Rhee F, et al. Thalidomide and hematopoietic-cell transplantation for multiple myeloma. Technical Report 10. 2006. doi:http://dx.doi.org/10.1056/NEJMoa053583
http://www.nejm.org/doi/full/10.1056/NEJMoa053583.
Pineda-Roman M, Zangari M, Haessler J, Anaissie E, Tricot G, van Rhee F, et al. Sustained complete remissions in multiple myeloma linked to bortezomib in total therapy 3: comparison with total therapy 2. Br J Haematol. 2008; 140(6):625–34. doi:10.1111/j.1365-2141.2007.06921.x.
Article
PubMed
CAS
PubMed Central
Google Scholar
Chesi M, Bergsagel PL. Advances in the pathogenesis and diagnosis of multiple myeloma. Int J Lab Hematol. 2015; 37 Suppl 1:108–14. doi:10.1111/ijlh.12360.
Article
PubMed
CAS
Google Scholar
Bergsagel PL, Kuehl WM, Zhan F, Sawyer J, Barlogie B, Shaughnessy J. Cyclin D dysregulation: An early and unifying pathogenic event in multiple myeloma. Blood. 2005; 106(1):296–303. doi:10.1182/blood-2005-01-0034.
Article
PubMed
CAS
PubMed Central
Google Scholar
Zhan F, Huang Y, Colla S, Stewart JP, Hanamura I, Gupta S, et al. The molecular classification of multiple myeloma. Blood. 2006; 108(6):2020–8. doi:10.1182/blood-2005-11-013458.
Article
PubMed
CAS
PubMed Central
Google Scholar
Engelhardt M, Terpos E, Kleber M, Gay F, Wäsch R, Morgan G, et al. European Myeloma Network recommendations on the evaluation and treatment of newly diagnosed patients with multiple myeloma. Haematologica. 2014; 99(2):232–42. doi:10.3324/haematol.2013.099358.
Article
PubMed
CAS
PubMed Central
Google Scholar
Mikhael JR, Dingli D, Roy V, Reeder CB, Buadi FK, Hayman SR, et al. Management of newly diagnosed symptomatic multiple myeloma: updated Mayo Stratification of Myeloma and Risk-Adapted Therapy (mSMART) consensus guidelines 2013. Mayo Clin Proc. 2013; 88(4):360–76. doi:10.1016/j.mayocp.2013.01.019.
Article
PubMed
Google Scholar
Smyth GK. Linear models and empirical bayes methods for assessing differential expression in microarray experiments. Stat Appl Genet Mol Biol. 2004; 3:3. doi:10.2202/1544-6115.1027.
Google Scholar
Tibshirani R, Hastie T, Narasimhan B, Chu G. Diagnosis of multiple cancer types by shrunken centroids of gene expression. Proc Natl Acad Sci U S A. 2002; 99(10):6567–72. doi:10.1073/pnas.082099299.
Article
PubMed
CAS
PubMed Central
Google Scholar
Kostka D, Spang R. Microarray based diagnosis profits from better documentation of gene expression signatures. PLoS Comput Biol. 2008; 4(2):22. doi:10.1371/journal.pcbi.0040022.
Article
Google Scholar
Zhang B, Kirov S, Snoddy J. WebGestalt: an integrated system for exploring gene sets in various biological contexts. Nucleic Acids Res. 2005; 33(Web Server issue):741–8. doi:10.1093/nar/gki475.
Article
Google Scholar
Hose D, Rème T, Hielscher T, Moreaux J, Messner T, Seckinger A, et al. Proliferation is a central independent prognostic factor and target for personalized and risk-adapted treatment in multiple myeloma. Haematologica. 2011; 96(1):87–95. doi:10.3324/haematol.2010.030296.
Article
PubMed
PubMed Central
Google Scholar
Decaux O, Lodé L, Magrangeas F, Charbonnel C, Gouraud W, Jézéquel P, et al. Prediction of survival in multiple myeloma based on gene expression profiles reveals cell cycle and chromosomal instability signatures in high-risk patients and hyperdiploid signatures in low-risk patients: a study of the Intergroupe Francophone du Myélom. J Clin Oncol Off J Am Soc Clin Oncol. 2008; 26(29):4798–805. doi:10.1200/JCO.2007.13.8545.
Article
CAS
Google Scholar
Shaughnessy JD, Zhan F, Burington BE, Huang Y, Colla S, Hanamura I, et al. A validated gene expression model of high-risk multiple myeloma is defined by deregulated expression of genes mapping to chromosome 1. Blood. 2007; 109(6):2276–84. doi:10.1182/blood-2006-07-038430.
Article
PubMed
CAS
Google Scholar
Kuiper R, Broyl A, de Knegt Y, van Vliet MH, van Beers EH, van der Holt B, et al. A gene expression signature for high-risk multiple myeloma. Leukemia. 2012; 26(11):2406–13. doi:10.1038/leu.2012.127.
Article
PubMed
CAS
Google Scholar
Neben K, Lokhorst HM, Jauch A, Bertsch U, Hielscher T, van der Holt B, et al. Administration of bortezomib before and after autologous stem cell transplantation improves outcome in multiple myeloma patients with deletion 17p. Blood. 2012; 119(4):940–8. doi:10.1182/blood-2011-09-379164.
Article
PubMed
CAS
Google Scholar
Neben K, Jauch A, Hielscher T, Hillengass J, Lehners N, Seckinger A, et al. Progression in smoldering myeloma is independently determined by the chromosomal abnormalities del(17p), t(4;14), gain 1q, hyperdiploidy, and tumor load. J Clin Oncol Off J Am Soc Clin Oncol. 2013; 31(34):4325–32. doi:10.1200/JCO.2012.48.4923.
Article
Google Scholar
Goeman JJ, van de Geer SA, de Kort F, van Houwelingen HC. A global test for groups of genes: testing association with a clinical outcome. Bioinformatics. 2003; 20(1):93–9. doi:10.1093/bioinformatics/btg382.
Article
Google Scholar
Ahmann GJ, Chng WJ, Henderson KJ, Price-Troska TL, DeGoey RW, Timm MM, et al. Effect of tissue shipping on plasma cell isolation, viability, and RNA integrity in the context of a centralized good laboratory practice-certified tissue banking facility. Cancer Epidemiol Biomark Prev : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology. 2008; 17(3):666–73. doi:10.1158/1055-9965.EPI-07-2649.
Article
CAS
Google Scholar
Breit S, Nees M, Schaefer U, Pfoersich M, Hagemeier C, Muckenthaler M, et al. Impact of pre-analytical handling on bone marrow mRNA gene expression. Br J Haematol. 2004; 126(2):231–43. doi:10.1111/j.1365-2141.2004.05017.x.
Article
PubMed
CAS
Google Scholar
Dvinge H, Ries RE, Ilagan JO, Stirewalt DL, Meshinchi S, Bradley RK. Sample processing obscures cancer-specific alterations in leukemic transcriptomes. Proc Natl Acad Sci. 2014; 111(47):16802–7. doi:10.1073/pnas.1413374111.
Article
PubMed
CAS
PubMed Central
Google Scholar
Rainen L, Oelmueller U, Jurgensen S, Wyrich R, Ballas C, Schram J, et al. Stabilization of mRNA Expression in Whole Blood Samples. Clin Chem. 2002; 48(11):1883–90.
PubMed
CAS
Google Scholar
Baechler EC, Batliwalla FM, Karypis G, Gaffney PM, Moser K, Ortmann WA, et al. Expression levels for many genes in human peripheral blood cells are highly sensitive to ex vivo incubation. Genes Immun. 2004; 5(5):347–53. doi:10.1038/sj.gene.6364098.
Article
PubMed
CAS
Google Scholar
Müller MC, Merx K, Weisser A, Kreil S, Lahaye T, Hehlmann R, et al. Improvement of molecular monitoring of residual disease in leukemias by bedside RNA stabilization. Leukemia. 2002; 16(12):2395–9. doi:10.1038/sj.leu.2402734.
Article
PubMed
Google Scholar
Stegle O, Parts L, Piipari M, Winn J, Durbin R. Using probabilistic estimation of expression residuals (PEER) to obtain increased power and interpretability of gene expression analyses. Nat Protoc. 2012; 7(3):500–7. doi:10.1038/nprot.2011.457.
Article
PubMed
CAS
PubMed Central
Google Scholar