Evidence map›Paper›PMID 40087669›Full record

ArticleBMC medical genomics2025

Genomic characteristics and prognostic correlations in Chinese multiple myeloma patients.

Xi Chen, Tianchen Luo, Wenhui Zhang, Sheng Wang, Mengxuan Zhu, Haiyan He, Jin Liu, Jing Lu, Wanting Qiang, Yanchun Jia and 5 more

Abstract read
In one paragraph

Article in BMC medical genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Multiple myeloma risk linked to DNA damage response genes.Journal of hematology & oncology · 2026
    Article
  4. Correlation between serum lactate dehydrogenase, βPakistan journal of medical sciences · 2026
    Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Xi Chen *Department of Hematology, Myeloma & Lymphoma Center, Second Affiliated Hospital of Naval Medical University (Shanghai Changzheng Hospital), Shanghai, 200003, China.
Tianchen Luo *Department of Hematology, Myeloma & Lymphoma Center, Second Affiliated Hospital of Naval Medical University (Shanghai Changzheng Hospital), Shanghai, 200003, China.
Wenhui Zhang *Center for Translational Medicine, Second Military Medical University, Shanghai, 200433, China.
Sheng Wang *Center for Translational Medicine, Second Military Medical University, Shanghai, 200433, China.
Mengxuan ZhuCenter for Translational Medicine, Second Military Medical University, Shanghai, 200433, China.
Haiyan HeDepartment of Hematology, Myeloma & Lymphoma Center, Second Affiliated Hospital of Naval Medical University (Shanghai Changzheng Hospital), Shanghai, 200003, China.
Jin LiuDepartment of Hematology, Myeloma & Lymphoma Center, Second Affiliated Hospital of Naval Medical University (Shanghai Changzheng Hospital), Shanghai, 200003, China.
Jing LuDepartment of Hematology, Myeloma & Lymphoma Center, Second Affiliated Hospital of Naval Medical University (Shanghai Changzheng Hospital), Shanghai, 200003, China.
Wanting QiangDepartment of Hematology, Myeloma & Lymphoma Center, Second Affiliated Hospital of Naval Medical University (Shanghai Changzheng Hospital), Shanghai, 200003, China.
Yanchun JiaDepartment of Hematology, Myeloma & Lymphoma Center, Second Affiliated Hospital of Naval Medical University (Shanghai Changzheng Hospital), Shanghai, 200003, China.
Nan HouDepartment of Hematology, Myeloma & Lymphoma Center, Second Affiliated Hospital of Naval Medical University (Shanghai Changzheng Hospital), Shanghai, 200003, China.
Xuenan ZhaoCenter for Translational Medicine, Second Military Medical University, Shanghai, 200433, China.
Shan ZhangCenter for Translational Medicine, Second Military Medical University, Shanghai, 200433, China.
Jing Li *Department of Precision Medicine, Changhai Hospital, Second Military Medical University (Naval Medical University), Shanghai, 200433, China. ljing@smmu.edu.cn.
Juan Du *Department of Hematology, Myeloma & Lymphoma Center, Second Affiliated Hospital of Naval Medical University (Shanghai Changzheng Hospital), Shanghai, 200003, China. juan_du@live.com.

Funding

National Natural Science Foundation of China 82170198
6 · The paper itself

Abstract

backgroundMultiple myeloma (MM) is a hematologic malignancy characterized by the proliferation of abnormal clonal plasma cells in the bone marrow. The heterogeneity in Chinese MM populations remains underexplored.

methodsWe conducted whole-exome sequencing (WES) on 241 tumor samples, complemented by RNA sequencing (RNA-seq) on 131 samples from 212 Chinese MM patients.

resultsWe identified a novel mutational signature and analyzed molecular differences between newly diagnosed MM (NDMM) and relapsed/refractory MM (RRMM) patients. NFKBIA mutations were notably more frequent in NDMM patients compared to the MMRF-COMMPASS cohort (4/50 vs 22/937, p = 0.048), with additional recurrent mutations in several genes like TTN, IGLL5 and SYNE1. In RRMM patients, UBR5 mutations were more prevalent (4/24 vs 0/50, p = 0.01), alongside frequent mutations in OBSCN, CACNA1H, and HSPG2. Clonal evolution was assessed through multiple time points and locations, identifying genes potentially linked to circulating plasma cell formation. Cox regression analysis revealed that age and mutations in OBSCN and RB1 were significant predictors of progression-free survival (PFS) in NDMM patients. Additionally, albumin, β2-microglobulin, and RB1 mutations were correlated with overall survival (OS).

conclusionsIn summary, we characterized the genomic landscape of MM in diverse Chinese populations, confirmed clonal evolution, and identified prognostic genes.

Indexed as

GenomicsMultiple MyelomaAdultAgedAged, 80 and overChinaEast Asian PeopleExome SequencingFemaleHumansMaleMiddle AgedMutationPrognosisGenomic characteristicsMultiple myelomaPrognosis

Identifiers

PMID40087669
PMCPMC11907858

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.