ArticleHaematologica2019
Immune marker changes and risk of multiple myeloma: a nested case-control study using repeated pre-diagnostic blood samples.
Article in Haematologica, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06987708 (Evaluating the Impact of a 12-month Multi-Modal Lifestyle Management Intervention on Disease Relevant Biomarkers Associated With Monoclonal Gammopathy of Unknown Significance), which is not on this map. Cited by 7 papers.
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.
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.
Evaluating the Impact of a 12-month Multi-Modal Lifestyle Management Intervention on Disease Relevant Biomarkers Associated With Monoclonal Gammopathy of Unknown Significance (MGUS) and Smoldering Myeloma (SM): A Prospective Intervention Pilot Study
Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Review
- Prediagnostic Serum Immune Marker Levels and Multiple Myeloma: A Prospective Longitudinal Study Using Samples from the Janus Serum Bank in Norway.Cancer prevention research (Philadelphia, Pa.) · 2025Article
- [Latest Findings on the Mechanism of the Interaction Between Multiple Myeloma Cells and Bone Marrow Microenvironment].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2023Review
- Article
- Next-Generation Biomarkers in Multiple Myeloma: Understanding the Molecular Basis for Potential Use in Diagnosis and Prognosis.International journal of molecular sciences · 2021Review
- Immunological Prognostic Factors in Multiple Myeloma.International journal of molecular sciences · 2021Review
- A Prospective Study of Circulating Chemokines and Angiogenesis Markers and Risk of Multiple Myeloma and Its Precursor.JNCI cancer spectrum · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biomarkers reliably predicting progression to multiple myeloma (MM) are lacking. Myeloma risk has been associated with low blood levels of monocyte chemotactic protein-3 (MCP-3), macrophage inflammatory protein-1 alpha (MIP-1α), vascular endothelial growth factor (VEGF), fibroblast growth factor-2 (FGF-2), fractalkine, and transforming growth factor-alpha (TGF-α). In this study, we aimed to replicate these findings and study the individual dynamics of each marker in a prospective longitudinal cohort, thereby examining their potential as markers of myeloma progression. For this purpose, we identified 65 myeloma cases and 65 matched cancer-free controls each with two donated blood samples within the Northern Sweden Health and Disease Study. The first and repeated samples from myeloma cases were donated at a median 13 and 4 years, respectively, before the myeloma was diagnosed. Known risk factors for progression were determined by protein-, and immunofixation electrophoresis, and free light chain assays. We observed lower levels of MCP-3, VEGF, FGF-2, and TGF-α in myeloma patients than in controls, consistent with previous data. We also observed that these markers decreased among future myeloma patients while remaining stable in controls. Decreasing trajectories were noted for TGF-α (
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.