Evidence map›Paper›PMID 34769503›Full record

ReviewInternational journal of molecular sciences2021

The Significance of mRNA in the Biology of Multiple Myeloma and Its Clinical Implications.

Anna Puła, Paweł Robak, Damian Mikulski, Tadeusz Robak

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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

4 authors at 1 institution in 1 country.

Anna PułaDepartment of Hematology, Medical University of Lodz, 93-510 Lodz, Poland.
Paweł RobakDepartment of Experimental Hematology, Medical University of Lodz, 93-510 Lodz, Poland.
Damian MikulskiDepartment of Biostatistics and Translational Medicine, Medical University of Lodz, 92-215 Lodz, Poland.ORCID 0000-0002-2806-2583
Tadeusz RobakDepartment of Hematology, Medical University of Lodz, 93-510 Lodz, Poland.ORCID 0000-0002-3411-6357
Medical University of Lodz · PL

Funding

Polish Ministry of Science and Higher Education (MNiSW 0085/DIA/2018/47). MNiSW 0085/DIA/2018/47
6 · The paper itself

Abstract

Multiple myeloma (MM) is a genetically complex disease that results from a multistep transformation of normal to malignant plasma cells in the bone marrow. However, the molecular mechanisms responsible for the initiation and heterogeneous evolution of MM remain largely unknown. A fundamental step needed to understand the oncogenesis of MM and its response to therapy is the identification of driver mutations. The introduction of gene expression profiling (GEP) in MM is an important step in elucidating the molecular heterogeneity of MM and its clinical relevance. Since some mutations in myeloma occur in non-coding regions, studies based on the analysis of mRNA provide more comprehensive information on the oncogenic pathways and mechanisms relevant to MM biology. In this review, we discuss the role of gene expression profiling in understanding the biology of multiple myeloma together with the clinical manifestation of the disease, as well as its impact on treatment decisions and future directions.

Indexed as

Biomarkers, TumorGene Expression Regulation, NeoplasticHumansMolecular Targeted TherapyMultiple MyelomaRNA, MessengerBiomarkers, TumorRNA, Messengerbiologydrug resistancegene expression profilingmRNAmultiple myelomaprognosistreatment

Identifiers

PMID34769503
PMCPMC8584466
OpenAlexW3214165279

What OpenQuestion 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 OpenQuestion graph.