Mass Cytometry reveals unique phenotypic patterns associated with subclonal diversity and outcomes in multiple myeloma.
Mass Cytometry reveals unique phenotypic patterns associated with subclonal diversity and outcomes in multiple myeloma.
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DOI:
10.1038/s41408-023-00851-5
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发表时间:
2023-05-22
影响因子:
12.8
通讯作者:
Kumar, Shaji K. K.
中科院分区:
文献类型:
--
作者:
Baughn, Linda B. B.;Jessen, Erik;Sharma, Neeraj;Tang, Hongwei;Smadbeck, James B. B.;Long, Mark D. D.;Pearce, Kathryn;Smith, Matthew;Dasari, Surendra;Sachs, Zohar;Linden, Michael A. A.;Cook, Joselle;Stewart, A. Keith;Chesi, Marta;Mitra, Amit;Bergsagel, P. Leif;Van Ness, Brian;Kumar, Shaji K. K.
Multiple myeloma (MM) remains an incurable plasma cell (PC) malignancy. Although it is known that MM tumor cells display extensive intratumoral genetic heterogeneity, an integrated map of the tumor proteomic landscape has not been comprehensively evaluated. We evaluated 49 primary tumor samples from newly diagnosed or relapsed/refractory MM patients by mass cytometry (CyTOF) using 34 antibody targets to characterize the integrated landscape of single-cell cell surface and intracellular signaling proteins. We identified 13 phenotypic meta-clusters across all samples. The abundance of each phenotypic meta-cluster was compared to patient age, sex, treatment response, tumor genetic abnormalities and overall survival. Relative abundance of several of these phenotypic meta-clusters were associated with disease subtypes and clinical behavior. Increased abundance of phenotypic meta-cluster 1, characterized by elevated CD45 and reduced BCL-2 expression, was significantly associated with a favorable treatment response and improved overall survival independent of tumor genetic abnormalities or patient demographic variables. We validated this association using an unrelated gene expression dataset. This study represents the first, large-scale, single-cell protein atlas of primary MM tumors and demonstrates that subclonal protein profiling may be an important determinant of clinical behavior and outcome.
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影响因子:
10.6
作者:
He H;Li Z;Lu J;Qiang W;Jiang S;Xu Y;Fu W;Zhai X;Zhou L;Qian M;Du J
通讯作者:
Du J
影响因子:
3.5
作者:
Courville, Elizabeth L.;Yohe, Sophia;Linden, Michael A.
通讯作者:
Linden, Michael A.
DOI:
10.1126/science.1198704
发表时间:
2011-05-06
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Bendall SC;Simonds EF;Qiu P;Amir el-AD;Krutzik PO;Finck R;Bruggner RV;Melamed R;Trejo A;Ornatsky OI;Balderas RS;Plevritis SK;Sachs K;Pe'er D;Tanner SD;Nolan GP
通讯作者:
Nolan GP
影响因子:
20.3
作者:
Keats, Jonathan J.;Chesi, Marta;Bergsagel, P. Leif
通讯作者:
Bergsagel, P. Leif
DOI:
10.3324/haematol.2010.030296
发表时间:
2011-01-01
期刊:
HAEMATOLOGICA-THE HEMATOLOGY JOURNAL
影响因子:
--
作者:
Hose, Dirk;Reme, Thierry;Goldschmidt, Hartmut
通讯作者:
Goldschmidt, Hartmut