Evidence map›Paper›PMID 40932053›Full record

ArticleMolecular oncology2026

PYCR1 inhibition in bone marrow stromal cells enhances bortezomib sensitivity in multiple myeloma cells by altering their metabolism.

Inge Oudaert, Lauren van den Broecke, Osman Aksoy, Judith Lind, Sonia Vallet, Arne Van der Vreken, Gamze Ates, Ann Massie, Ken Maes, Kim De Veirman and 4 more

Abstract read
In one paragraph

Article in Molecular oncology, 2026. 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

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

1 citing paper in PubMed.

  1. [Research Progress on the Role and Mechanisms of PYCR1 
in Tumorigenesis and Progression].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2026
    Review
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

14 authors.

Inge OudaertDepartment of Hematology and Immunology, Myeloma Centre Brussels, Translational Oncology Research Centre, Vrije Universiteit Brussel (VUB), Belgium.
Lauren van den BroeckeDepartment of Hematology and Immunology, Myeloma Centre Brussels, Translational Oncology Research Centre, Vrije Universiteit Brussel (VUB), Belgium.
Osman AksoyDepartment General and Translational Oncology and Haematology, Karl Landsteiner University of Health Sciences, Krems an der Donau, Austria.
Judith LindDepartment General and Translational Oncology and Haematology, Karl Landsteiner University of Health Sciences, Krems an der Donau, Austria.
Sonia ValletDepartment General and Translational Oncology and Haematology, Karl Landsteiner University of Health Sciences, Krems an der Donau, Austria.
Arne Van der VrekenDepartment of Hematology and Immunology, Myeloma Centre Brussels, Translational Oncology Research Centre, Vrije Universiteit Brussel (VUB), Belgium.
Gamze AtesCentre for Neurosciences, Neuro-Aging & Viro-Immunotherapy, Vrije Universiteit Brussel (VUB), Belgium.
Ann MassieCentre for Neurosciences, Neuro-Aging & Viro-Immunotherapy, Vrije Universiteit Brussel (VUB), Belgium.
Ken MaesDepartment of Hematology and Immunology, Myeloma Centre Brussels, Translational Oncology Research Centre, Vrije Universiteit Brussel (VUB), Belgium.
Kim De VeirmanDepartment of Hematology and Immunology, Myeloma Centre Brussels, Translational Oncology Research Centre, Vrije Universiteit Brussel (VUB), Belgium.
Elke De BruyneDepartment of Hematology and Immunology, Myeloma Centre Brussels, Translational Oncology Research Centre, Vrije Universiteit Brussel (VUB), Belgium.
Karin VanderkerkenDepartment of Hematology and Immunology, Myeloma Centre Brussels, Translational Oncology Research Centre, Vrije Universiteit Brussel (VUB), Belgium.
Klaus PodarDepartment General and Translational Oncology and Haematology, Karl Landsteiner University of Health Sciences, Krems an der Donau, Austria.
Eline MenuDepartment of Hematology and Immunology, Myeloma Centre Brussels, Translational Oncology Research Centre, Vrije Universiteit Brussel (VUB), Belgium.ORCID https://orcid.org/0000-0002-0805-6581

Funding

Fonds Wetenschappelijk Onderzoek 12B3223NFonds Wetenschappelijk Onderzoek I001420NKom op tegen KankerVrije Universiteit Brussel
6 · The paper itself

Abstract

Despite significant advancements, multiple myeloma (MM) remains incurable, largely due to drug resistance. Our previous research has demonstrated that proline metabolism plays a role in MM progression and that inhibiting PYCR1, the final enzyme in proline synthesis, enhances bortezomib sensitivity in MM cells. Given the high expression of PYCR1 in bone marrow stromal cells (BMSCs), we sought to investigate the effects of PYCR1 inhibition in BMSCs and its indirect influence on MM cell metabolism and viability. Culturing MM cells in conditioned medium (CM) of PYCR1-silenced BMSC significantly impaired oxidative phosphorylation and sensitised MM cells to bortezomib. Analysis of the CM secretome revealed a reduction in activin A release. Proline and activin A supplementation were able to counteract MM sensitivity to bortezomib. Combination therapy of the PYCR1 inhibitor pargyline and bortezomib reduced tumour load in a 3D model and reduced serum activin A levels in 5TGM1-bearing mice. This study demonstrates the contribution of stromal cell metabolism to MM progression. Inhibiting PYCR1 in BMSCs leads to less activin A release, limits oxidative phosphorylation in MM cells and enhances bortezomib efficacy.

Indexed as

BortezomibMesenchymal Stem CellsMultiple MyelomaActivinsAnimalsCell Line, TumorHumansMiceOxidative Phosphorylationactivin AActivinsBortezomibactivin Amultiple myelomaoxidative phosphorylationproline metabolismPYCR1stromal cells

Identifiers

PMID40932053
PMCPMC12936435

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.