Evidence map›Paper›PMID 39305307›Full record

ArticleAnnals of hematology2024

Distinct pathway activities are associated with prognosis and response to bortezomib-containing treatment in MCL1-M based molecular subtypes of multiple myeloma.

Yuan Yang, Sitao Jiang, Hang Du, Jingling Tang, Pengli Xiao, Yin Wu, Jiuyi Li, Jing Feng, Yanfei Wei, Ayaz Ali Samo and 2 more

Abstract read
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Article in Annals of hematology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

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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

1 citing paper in PubMed.

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4 · The record

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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

12 authors.

Yuan YangDepartment of Biology, Beijing Key Laboratory of Gene Resource and Molecular Development, School of Life Sciences, Key Laboratory of Cell Proliferation and Regulation Biology, School of Life Sciences, Ministry of Education, Beijing Normal University, Beijing, China.
Sitao JiangDepartment of Biology, Beijing Key Laboratory of Gene Resource and Molecular Development, School of Life Sciences, Key Laboratory of Cell Proliferation and Regulation Biology, School of Life Sciences, Ministry of Education, Beijing Normal University, Beijing, China.
Hang DuClinical Research Center, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Jingling TangClinical Research Center, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Pengli XiaoDepartment of Biology, Beijing Key Laboratory of Gene Resource and Molecular Development, School of Life Sciences, Key Laboratory of Cell Proliferation and Regulation Biology, School of Life Sciences, Ministry of Education, Beijing Normal University, Beijing, China.
Yin WuDepartment of Hematology, Beijing Chao-Yang Hospital Capital Medical University, Beijing, China.
Jiuyi LiCollege of Life Sciences, Sichuan Normal University, Chengdu, China.
Jing FengDepartment of Pathology, Capital Medical University Sanbo Brain Hospital, Beijing, China.
Yanfei WeiInstitute of Biomedical Sciences, Henan Academy of Sciences, Zhengzhou, China.
Ayaz Ali SamoDepartment of Physiology, University of Sindh, Jamshoro, Pakistan.
Xuzhang LuDepartment of Hematology, Changzhou Second People's Hospital of Nanjing Medical University, Changzhou, China.
Xiaolong FanDepartment of Biology, Beijing Key Laboratory of Gene Resource and Molecular Development, School of Life Sciences, Key Laboratory of Cell Proliferation and Regulation Biology, School of Life Sciences, Ministry of Education, Beijing Normal University, Beijing, China. xfan@bnu.edu.cn.

Funding

National Key Research and Development Program of China 2019YFE0108100National Natural Science Foundation of China 81773015National Natural Science Foundation of China 82260584
6 · The paper itself

Abstract

Multiple myeloma (MM) is the second most prevalent hematological malignancy and remains incurable with remarkable heterogeneity in prognosis and treatment response across the patients. Clinical diagnosis and the existing molecular classification systems are inadequate for predicting treatment responses. Based on the convergence between plasma cell development and MM pathogenesis, we identified a gene co-expression module centered on the plasma cell survival regulator MCL1 (MCL1 module, MCL1-M) in the transcriptomes of pre-treated MM, which enabled stratification of MM patients into MCL1-M high and MCL1-M low molecular subtypes with subtype-specific prognosis and response to bortezomib-containing treatment. Here, we aimed to examine the mechanism underlying the disparate prognosis and treatment responses between the two molecular subtypes. Our findings reveal that MCL1-M high MM displays significant activation of pathways associated with cell proliferation, while MCL1-M low MM exhibits activation of immune-related signaling pathways. The relative enrichment of immune cells within the bone marrow microenvironment of MCL1-M low MM, particularly plasmacytoid dendritic cells, likely contributes to the activation of immune-related signaling pathways in this subset of myeloma cells. Using phase III trial data, we show that responses to bortezomib-containing treatment are associated with the extent of unfolded protein response (UPR) signaling activity. Further, bortezomib-mediated killing of MM cells could be enhanced or inhibited by in vitro manipulation of UPR activities in representative cell lines. In conclusion, MCL1-M based molecular subtypes of MM are characterized by distinct signaling activities from both malignant cells and bone marrow microenvironment, which may drive distinct prognosis and treatment responses.

Indexed as

BortezomibMultiple MyelomaMyeloid Cell Leukemia Sequence 1 ProteinAntineoplastic Combined Chemotherapy ProtocolsCell ProliferationGene Expression Regulation, NeoplasticHumansPrognosisSignal TransductionTumor MicroenvironmentBortezomibMCL1 protein, humanMyeloid Cell Leukemia Sequence 1 ProteinBortezomibMCL1-M based classificationMicroenvironmentMultiple myelomaSignaling pathway

Identifiers

PMID39305307

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