TY - JOUR
T1 - Longitudinal analysis of 25 sequential sample-pairs using a custom multiple myeloma mutation sequencing panel (M3P)
AU - Kortüm, K. M.
AU - Langer, C.
AU - Monge, J.
AU - Bruins, L.
AU - Zhu, Y. X.
AU - Shi, C. X.
AU - Jedlowski, P.
AU - Egan, J. B.
AU - Ojha, J.
AU - Bullinger, L.
AU - Kull, M.
AU - Ahmann, G.
AU - Rasche, L.
AU - Knop, S.
AU - Fonseca, R.
AU - Einsele, H.
AU - Stewart, A. K.
AU - Braggio, Esteban
N1 - Funding Information:
This work is supported by grants R01 CA83724, CA167511, and CA183968, ECOG CA 21115 T, Predolin Foundation, Mayo Clinic Cancer Center, the Mayo Foundation, and the DFG (Ko 4604/1-1 to KMK, BU 1339/7-2 and BU 1339/3-1 to LBu, and LA 2414/2-1 to CL); EB has support by the Henry Predolin Foundation, the Marriott Specialized Workforce Development Awards in Individualized Medicine and the Fraternal Order of Eagles.
Publisher Copyright:
© 2015, Springer-Verlag Berlin Heidelberg.
PY - 2015/7/18
Y1 - 2015/7/18
N2 - Recent advances in genomic sequencing technologies now allow results from deep next-generation sequencing to be obtained within clinically meaningful timeframes, making this an attractive approach to better guide personalized treatment strategies. No multiple myeloma-specific gene panel has been established so far; we therefore designed a 47-gene-targeting gene panel, containing 39 genes known to be mutated in ≥3 % of multiple myeloma cases and eight genes in pathways therapeutically targeted in multiple myeloma (MM). We performed targeted sequencing on tumor/germline DNA of 25 MM patients in which we also had a sequential sample post treatment. Mutation analysis revealed KRAS as the most commonly mutated gene (36 % in each time point), followed by NRAS (20 and 16 %), TP53 (16 and 16 %), DIS3 (16 and 16 %), FAM46C (12 and 16 %), and SP140 (12 and 12 %). We successfully tracked clonal evolution and identified mutation acquisition and/or loss in FAM46C, FAT1, KRAS, NRAS, SPEN, PRDM1, NEB, and TP53 as well as two mutations in XBP1, a gene associated with bortezomib resistance. Thus, we present the first longitudinal analysis of a MM-specific targeted sequencing gene panel that can be used for individual tumor characterization and for tracking clonal evolution over time.
AB - Recent advances in genomic sequencing technologies now allow results from deep next-generation sequencing to be obtained within clinically meaningful timeframes, making this an attractive approach to better guide personalized treatment strategies. No multiple myeloma-specific gene panel has been established so far; we therefore designed a 47-gene-targeting gene panel, containing 39 genes known to be mutated in ≥3 % of multiple myeloma cases and eight genes in pathways therapeutically targeted in multiple myeloma (MM). We performed targeted sequencing on tumor/germline DNA of 25 MM patients in which we also had a sequential sample post treatment. Mutation analysis revealed KRAS as the most commonly mutated gene (36 % in each time point), followed by NRAS (20 and 16 %), TP53 (16 and 16 %), DIS3 (16 and 16 %), FAM46C (12 and 16 %), and SP140 (12 and 12 %). We successfully tracked clonal evolution and identified mutation acquisition and/or loss in FAM46C, FAT1, KRAS, NRAS, SPEN, PRDM1, NEB, and TP53 as well as two mutations in XBP1, a gene associated with bortezomib resistance. Thus, we present the first longitudinal analysis of a MM-specific targeted sequencing gene panel that can be used for individual tumor characterization and for tracking clonal evolution over time.
KW - Multiple myeloma
KW - Targeted sequencing
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U2 - 10.1007/s00277-015-2344-9
DO - 10.1007/s00277-015-2344-9
M3 - Article
C2 - 25743686
AN - SCOPUS:84937511562
SN - 0939-5555
VL - 94
SP - 1205
EP - 1211
JO - Annals of Hematology
JF - Annals of Hematology
IS - 7
ER -