Evidence map›Paper›PMID 30792264›Full record

ArticleMolecular & cellular proteomics : MCP2019

Metabolic, Anti-apoptotic and Immune Evasion Strategies of Primary Human Myeloma Cells Indicate Adaptations to Hypoxia.

Lukas Janker, Rupert L Mayer, Andrea Bileck, Dominique Kreutz, Johanna C Mader, Kirsten Utpatel, Daniel Heudobler, Hermine Agis, Christopher Gerner, Astrid Slany

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.3field-weighted citation impact, top 5% of its field
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

32 citing papers in PubMed, 43 citations in OpenAlex.

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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

10 authors at 4 institutions in 2 countries.

Lukas JankerDepartment of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria.
Rupert L MayerDepartment of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria.
Andrea BileckDepartment of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria.
Dominique KreutzDepartment of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria.
Johanna C MaderDepartment of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria.
Kirsten UtpatelDepartment of Pathology, University Regensburg, Regensburg, Germany.
Daniel HeudoblerDepartment of Internal Medicine III, Hematology and Oncology, University Hospital Regensburg, Regensburg, Germany.
Hermine AgisDepartment of Oncology, University Clinic for Internal Medicine I, Medical University of Vienna, Vienna, Austria.
Christopher GernerDepartment of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria.
Astrid SlanyDepartment of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria;. Electronic address: astrid.slany@univie.ac.at.
University of Vienna · ATMedical University of Vienna · ATUniversity Hospital Regensburg · DEUniversity of Regensburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple Myeloma (MM) is an incurable plasma cell malignancy primarily localized within the bone marrow (BM). It develops from a premalignant stage, monoclonal gammopathy of undetermined significance (MGUS), often via an intermediate stage, smoldering MM (SMM). The mechanisms of MM progression have not yet been fully understood, all the more because patients with MGUS and SMM already carry similar initial mutations as found in MM cells. Over the last years, increased importance has been attributed to the tumor microenvironment and its role in the pathophysiology of the disease. Adaptations of MM cells to hypoxic conditions in the BM have been shown to contribute significantly to MM progression, independently from the genetic predispositions of the tumor cells. Searching for consequences of hypoxia-induced adaptations in primary human MM cells, CD138-positive plasma cells freshly isolated from BM of patients with different disease stages, comprising MGUS, SMM, and MM, were analyzed by proteome profiling, which resulted in the identification of 6218 proteins. Results have been made fully accessible via ProteomeXchange with identifier PXD010600. Data previously obtained from normal primary B cells were included for comparative purposes. A principle component analysis revealed three clusters, differentiating B cells as well as MM cells corresponding to less and more advanced disease stages. Comparing these three clusters pointed to the alteration of pathways indicating adaptations to hypoxic stress in MM cells on disease progression. Protein regulations indicating immune evasion strategies of MM cells were determined, supported by immunohistochemical staining, as well as transcription factors involved in MM development and progression. Protein regulatory networks related to metabolic adaptations of the cells became apparent. Results were strengthened by targeted analyses of a selected panel of metabolites in MM cells and MM-associated fibroblasts. Based on our data, new opportunities may arise for developing therapeutic strategies targeting myeloma disease progression.

Indexed as

Adaptation, PhysiologicalApoptosisImmune EvasionTumor HypoxiaDown-RegulationEndoplasmic ReticulumHumansMultiple MyelomaNeoplasm ProteinsProteomeProteomicsTranscription FactorsTumor Cells, CulturedUp-RegulationNeoplasm ProteinsProteomeTranscription FactorsCancer Biology*HypoxiaImmune evasionImmunohistochemistryMass SpectrometryMetabolic adaptationsMetabolomicsMultiple MyelomaPrimary human myeloma cellsTandem Mass Spectrometry

Identifiers

PMID30792264
PMCPMC6495257
OpenAlexW2917952293

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.