Evidence map›Paper›PMID 31127562›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2019

Proteometabolomics of Melphalan Resistance in Multiple Myeloma.

David C Koomen, Joy D Guingab-Cagmat, Paula S Oliveira, Bin Fang, Min Liu, Eric A Welsh, Mark B Meads, Tuan Nguyen, Laurel Meke, Steven A Eschrich and 3 more

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 5% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Metabolic Disorders in Multiple Myeloma.International journal of molecular sciences · 2021
    Review
  3. Article
  4. Review
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

13 authors at 2 institutions in 1 country.

David C KoomenMoffitt Cancer Center, Tampa, FL, USA.
Joy D Guingab-CagmatUniversity of Florida, Gainesville, FL, USA.
Paula S OliveiraMoffitt Cancer Center, Tampa, FL, USA.
Bin FangMoffitt Cancer Center, Tampa, FL, USA.
Min LiuMoffitt Cancer Center, Tampa, FL, USA.
Eric A WelshMoffitt Cancer Center, Tampa, FL, USA.
Mark B MeadsMoffitt Cancer Center, Tampa, FL, USA.
Tuan NguyenMoffitt Cancer Center, Tampa, FL, USA.
Laurel MekeUniversity of Florida, Gainesville, FL, USA.
Steven A EschrichMoffitt Cancer Center, Tampa, FL, USA.
Kenneth H ShainMoffitt Cancer Center, Tampa, FL, USA.
Timothy J GarrettUniversity of Florida, Gainesville, FL, USA. tgarrett@ufl.edu.
John M KoomenMoffitt Cancer Center, Tampa, FL, USA. john.koomen@moffitt.org.
Moffitt Cancer Center · USUniversity of Florida · US

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI KENNETH Lynn WRIGHT · 1998 to 2026
$93.5M
Southeast Resource Center for Integrated Metabolomics (SECIM)U24DK097209 · NIDDK · UNIVERSITY OF FLORIDA · PI EDISON, ARTHUR S, YOST, RICHARD A. · 2013 to 2017
$9.2M
NCI NIH HHS P30 CA076292NIDDK NIH HHS U24 DK097209
6 · The paper itself

Abstract

Drug resistance remains a critical problem for the treatment of multiple myeloma (MM), which can serve as a specific example for a highly prevalent unmet medical need across almost all cancer types. In MM, the therapeutic arsenal has expanded and diversified, yet we still lack in-depth molecular understanding of drug mechanisms of action and cellular pathways to therapeutic escape. For those reasons, preclinical models of drug resistance are developed and characterized using different approaches to gain insights into tumor biology and elucidate mechanisms of drug resistance. For MM, numerous drugs are used for treatment, including conventional chemotherapies (e.g., melphalan or L-phenylalanine nitrogen mustard), proteasome inhibitors (e.g., Bortezomib), and immunomodulators (e.g., Lenalidomide). These agents have diverse effects on the myeloma cells, and several mechanisms of drug resistance have been previously described. The disparity of these mechanisms and the complexity of these biological processes lead to the formation of complicated hypotheses that require omics approaches for efficient and effective analysis of model systems that can then be interpreted for patient benefit. Here, we describe the combination of metabolomics and proteomics to assess melphalan resistance in MM by examining three specific areas: drug metabolism, modulation of endogenous metabolites to assist in therapeutic escape, and changes in protein activity gauged by ATP probe uptake.

Indexed as

Antineoplastic Agents, AlkylatingApoptosisCell Line, TumorChromatography, High Pressure LiquidDose-Response Relationship, DrugDrug Resistance, NeoplasmHumansMelphalanMetabolomeMetabolomicsMultiple MyelomaProteomicsTandem Mass SpectrometryAntineoplastic Agents, AlkylatingMelphalanActivity-based protein profiling (ABPP)Cancer treatmentDrug resistanceLC-MS/MSMelphalanMetabolomicsMultiple myeloma

Identifiers

PMID31127562
PMCPMC7771550
OpenAlexW2946698672

What OpenQuestion holds

Textmetadata
LicenceTDM
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.