Evidence map›Paper›PMID 35582380›Full record

ReviewCancer drug resistance (Alhambra, Calif.)2021

Gene expression profiling as a prognostic tool in multiple myeloma.

Harmony Black, Siobhan Glavey

Open access · diamondAbstract readReview
In one paragraph

Review in Cancer drug resistance (Alhambra, Calif.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

9 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. A Darwinian Perspective on Tumor Evolution.International journal of biological sciences · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Genetic Abnormalities in Extramedullary Multiple Myeloma.International journal of molecular sciences · 2023
    Review
  7. Review
  8. Article
  9. Cancer drug resistance in multiple myeloma.Cancer drug resistance (Alhambra, Calif.) · 2022
    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

2 authors at 2 institutions in 1 country.

Harmony BlackDepartment of Haematology, Beaumont Hospital, Dublin D09 V2N0, Ireland.
Siobhan GlaveyDepartment of Haematology, Beaumont Hospital, Dublin D09 V2N0, Ireland.
Beaumont Hospital · IERoyal College of Surgeons in Ireland · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple myeloma (MM) is an aggressive plasma cell malignancy with high degrees of variability in outcome, some patients experience long remissions, whilst others survive less than two years from diagnosis. Therapy refractoriness and relapse remain challenges in MM management, and there is a need for improved prognostication and targeted therapies to improve overall survival (OS). The past decade has seen a surge in gene expression profiling (GEP) studies which have elucidated the molecular landscape of MM and led to the identification of novel gene signatures that predict OS and outperform current clinical predictors. In this review, we discuss the limitations of current prognostic tools and the emerging role of GEP in diagnostics and in the development of personalised medicine approaches to combat drug resistance.

Indexed as

drug resistancegene expression profilingMultiple myelomaprognosticationrisk-adapted therapiesrisk stratificationSKY92

Identifiers

PMID35582380
PMCPMC8992436
OpenAlexW3216132793

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.