Evidence map›Paper›PMID 35402836›Full record

ArticleBlood science (Baltimore, Md.)2021

Development and validation of prognostic implications of chromosome abnormalities algorithm for newly diagnosed multiple myeloma.

Tiancheng Luo, Wanting Qiang, Jing Lu, Haiyan He, Jin Liu, Lu Li, Hua Jiang, Weijun Fu, Juan Du

Abstract read
In one paragraph

Article in Blood science (Baltimore, Md.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Tiancheng LuoDepartment of Hematology, Myeloma & Lymphoma Center, Shanghai Changzheng Hospital, The Second Military Medical University, Shanghai, China.
Wanting QiangDepartment of Hematology, Myeloma & Lymphoma Center, Shanghai Changzheng Hospital, The Second Military Medical University, Shanghai, China.
Jing LuDepartment of Hematology, Myeloma & Lymphoma Center, Shanghai Changzheng Hospital, The Second Military Medical University, Shanghai, China.
Haiyan HeDepartment of Hematology, Myeloma & Lymphoma Center, Shanghai Changzheng Hospital, The Second Military Medical University, Shanghai, China.
Jin LiuDepartment of Hematology, Myeloma & Lymphoma Center, Shanghai Changzheng Hospital, The Second Military Medical University, Shanghai, China.
Lu LiDepartment of Hematology, Myeloma & Lymphoma Center, Shanghai Changzheng Hospital, The Second Military Medical University, Shanghai, China.
Hua JiangDepartment of Hematology, Myeloma & Lymphoma Center, Shanghai Changzheng Hospital, The Second Military Medical University, Shanghai, China.
Weijun FuDepartment of Hematology, Myeloma & Lymphoma Center, Shanghai Changzheng Hospital, The Second Military Medical University, Shanghai, China.
Juan DuDepartment of Hematology, Myeloma & Lymphoma Center, Shanghai Changzheng Hospital, The Second Military Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fluorescence in situ hybridization (FISH) evaluation is essential for initial risk stratification in multiple myeloma (MM). The presence of specific cytogenetic abnormalities (CA) confers a heterogeneity impact on prognosis. However, the cutoff values among different centers are not uniform. Therefore, we conduct this study to better predict the prognosis of newly diagnosed MM patients based on FISH results. The Kaps method was used to calculate the chromosomal abnormal cutoff values. A total of 533 participants were included in the study. The best cutoff value of overall survival were as follows: 17p- 20.1%, 13q- 85%, 1q21+ 39%, t(11;14) 55.5%, t(14;16) 87%, and t(4;14) 53.5%. The survival analysis showed that 17p- and 1q21+ were the independent factors affecting both OS and progress free survival (PFS) among CA. The analysis based on the cutoff value obtained by Kaps suggested that 13q-, t(14;16), 17p-, and 1q21+ were independent factors affecting OS among CA; t(14;16), 17p-, and 1q21+ were independent factors affecting PFS among CA. The prognostic model was constructed by the Kaps method with the Harrell concordance index (c-index) at 0.719 (95% CI, 0.683-0.756; corrected 0.707), which was higher than that calculated by the European Myeloma Network criteria (0.714; 95% CI, 0.678-0.751; corrected 0.696). In conclusion, chromosomal abnormalities in different proportions and combinations can affect the prognosis of MM patients. Therefore, effective criteria should be formulated to evaluate the prognosis of MM patients better.

Indexed as

Chromosome aberrationsCytogenetic analysisFluorescent in situ hybridizationMultiple myelomaPrognosis

Identifiers

PMID35402836
PMCPMC8975077

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