Evidence map›Paper›PMID 36051067›Full record

ArticleEJHaem2022

Transcriptional profiles define drug refractory disease in myeloma.

Yuan Xiao Zhu, Laura A Bruins, Xianfeng Chen, Chang-Xin Shi, Cecilia Bonolo De Campos, Nathalie Meurice, Xuewei Wang, Greg J Ahmann, Colleen A Ramsower, Esteban Braggio and 2 more

Open access · diamondAbstract read
In one paragraph

Article in EJHaem, 2022. 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
0.5field-weighted citation impact, top 35% 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, 3 citations in OpenAlex.

  1. Article
  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

12 authors at 5 institutions in 2 countries.

Yuan Xiao ZhuDivision of Hematology-Oncology Mayo Clinic Phoenix Arizona USA.
Laura A BruinsDivision of Hematology-Oncology Mayo Clinic Phoenix Arizona USA.
Xianfeng ChenDivision of Biomedical Statistics and Informatics, Department of Health Science Research Mayo Clinic Rochester Minnesota USA.
Chang-Xin ShiDivision of Hematology-Oncology Mayo Clinic Phoenix Arizona USA.
Cecilia Bonolo De CamposDivision of Hematology-Oncology Mayo Clinic Phoenix Arizona USA.
Nathalie MeuriceDivision of Hematology-Oncology Mayo Clinic Phoenix Arizona USA.
Xuewei WangDivision of Biomedical Statistics and Informatics, Department of Health Science Research Mayo Clinic Rochester Minnesota USA.
Greg J AhmannDivision of Hematology-Oncology Mayo Clinic Phoenix Arizona USA.
Colleen A RamsowerDepartment of Laboratory Medicine and Pathology Mayo Clinic Phoenix Arizona USA.
Esteban BraggioDivision of Hematology-Oncology Mayo Clinic Phoenix Arizona USA.
Lisa M RimszaDepartment of Laboratory Medicine and Pathology Mayo Clinic Phoenix Arizona USA.
A Keith StewartDivision of Medical Oncology and Hematology Princess Margaret Cancer Centre Toronto Ontario Canada.
Mayo Clinic in Florida · USMayo Clinic Hospital · USMayo Clinic in Arizona · USWinnMed · USPrincess Margaret Cancer Centre · CA

Funding

Project 4: Targeting Resistance to T-Cell Directed Therapy in Multiple MyelomaP50CA186781 · NCI · MAYO CLINIC ARIZONA · PI Yi Lin · 2015 to 2026
$25.5M
Project 3 - Modeling Proteasome Inhibitor Response and Resistance in Cell Lines and Patient Samples with Single Cell Analysis of SubpopulationsU54CA224018 · NCI · MAYO CLINIC ARIZONA · PI BERGSAGEL, PETER LEIF · 2017 to 2021
$6.0M
NCI NIH HHS P50 CA186781NCI NIH HHS U54 CA224018
6 · The paper itself

Abstract

Identifying biomarkers associated with disease progression and drug resistance are important for personalized care. We investigated the expression of 121 curated genes, related to immunomodulatory drugs (IMiDs) and proteasome inhibitors (PIs) responsiveness. We analyzed 28 human multiple myeloma (MM) cell lines with known drug sensitivities and 130 primary MM patient samples collected at different disease stages, including newly diagnosed (ND), on therapy (OT), and relapsed and refractory (RR, collected within 12 months before the patients' death) timepoints. Our findings led to the identification of a subset of genes linked to clinical drug resistance, poor survival, and disease progression following combination treatment containing IMIDs and/or PIs. Finally, we built a seven-gene model (MM-IMiD and PI sensitivity-7 genes [IP-7]) using digital gene expression profiling data that significantly separates ND patients from IMiD- and PI-refractory RR patients. Using this model, we retrospectively analyzed RNA sequcencing (RNAseq) data from the Mulltiple Myeloma Research Foundation (MMRF) CoMMpass (

Indexed as

drug resistancegene expressionmyeloma

Identifiers

PMID36051067
PMCPMC9422020
OpenAlexW4229444575

What Socratic 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 Socratic graph.