Evidence map›Paper›PMID 40747375›Full record

ArticleOncology letters2025

Transcriptional analysis of BMP2 and BMP6 in patients with newly diagnosed multiple myeloma.

Panagiotis Stoikos, Angelos Giannakoulas, Evangelia Kouvata, Georgia Stefani, George Vassilopoulos, Nikolaos Giannakoulas

Abstract read
In one paragraph

Article in Oncology letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Panagiotis StoikosLaboratory of Hematology Department, Faculty of Medicine, University of Thessaly, 41110 Larissa, Greece.
Angelos GiannakoulasLaboratory of Hematology Department, Faculty of Medicine, University of Thessaly, 41110 Larissa, Greece.
Evangelia KouvataHematology Department, University Hospital of Larissa, 41110 Larissa, Greece.
Georgia StefaniHematology Department, University Hospital of Larissa, 41110 Larissa, Greece.
George VassilopoulosHematology Department, University Hospital of Larissa, 41110 Larissa, Greece.
Nikolaos GiannakoulasHematology Department, University Hospital of Larissa, 41110 Larissa, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple myeloma (MM) is a highly heterogenous disease with diverse outcomes across patients. Stratifying patients is a promising approach to predict their clinical outcomes. However, despite notable progress in stratification systems, there is still a need for further optimization. Combining the existing staging parameters with molecular approaches could offer a better understanding of 'high risk' disease and guide treatment decisions. Bone morphogenetic proteins (BMPs) represent a group of proteins, which are members of the TGF-β superfamily that are now considered to be multifunctional cytokines. BMPs are mostly differentiation factors that are involved in bone metabolism, tissue development and carcinogenesis. In MM, BMP signaling is less well characterized and its association with the pathogenesis of MM is still under investigation. Therefore, the present study aimed to evaluate BMP2 and BMP6 expression and to study the clinical impact of their expression. BMP2 and BMP6 expression was quantified using reverse transcription-quantitative PCR post-RNA extraction from bone marrow mononuclear cells derived from patients with MM and healthy donors. According to the observations in a group of patients with newly diagnosed MM, neither BMP2 nor BMP6 were able to serve as prognostic biomarkers for patients.

Indexed as

bone morphogenetic protein 2bone morphogenetic protein 6multiple myelomaprognostic biomarkers

Identifiers

PMID40747375
PMCPMC12308460

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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.