Evidence map›Paper›PMID 26274375›Full record

ArticleJournal of visualized experiments : JoVE2015

An Organotypic High Throughput System for Characterization of Drug Sensitivity of Primary Multiple Myeloma Cells.

Ariosto Silva, Timothy Jacobson, Mark Meads, Allison Distler, Kenneth Shain

Open access · bronzeAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

28 citing papers in PubMed, 29 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Ariosto SilvaDepartment of Cancer Imaging and Metabolism, H. Lee Moffitt Cancer Center and Research Institute; Ariosto.Silva@moffitt.org.
Timothy JacobsonDepartment of Cancer Imaging and Metabolism, H. Lee Moffitt Cancer Center and Research Institute.
Mark MeadsDepartment of Cancer Imaging and Metabolism, H. Lee Moffitt Cancer Center and Research Institute.
Allison DistlerDepartment of Cancer Imaging and Metabolism, H. Lee Moffitt Cancer Center and Research Institute.
Kenneth ShainDepartment of Cancer Imaging and Metabolism, H. Lee Moffitt Cancer Center and Research Institute.
Moffitt Cancer Center · US

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI John L. Cleveland · 1998 to 2026
$93.5M
A Translational Model of Evolution of Myeloma Adhesion-Mediated Drug ResistanceR21CA164322 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI SIQUEIRA SILVA, ARIOSTO S · 2012 to 2013
$406k
NCI NIH HHS 1R21CA164322-01NCI NIH HHS P30-CA076292
6 · The paper itself

Abstract

In this work we describe a novel approach that combines ex vivo drug sensitivity assays and digital image analysis to estimate chemosensitivity and heterogeneity of patient-derived multiple myeloma (MM) cells. This approach consists in seeding primary MM cells freshly extracted from bone marrow aspirates into microfluidic chambers implemented in multi-well plates, each consisting of a reconstruction of the bone marrow microenvironment, including extracellular matrix (collagen or basement membrane matrix) and stroma (patient-derived mesenchymal stem cells) or human-derived endothelial cells (HUVECs). The chambers are drugged with different agents and concentrations, and are imaged sequentially for 96 hr through bright field microscopy, in a motorized microscope equipped with a digital camera. Digital image analysis software detects live and dead cells from presence or absence of membrane motion, and generates curves of change in viability as a function of drug concentration and exposure time. We use a computational model to determine the parameters of chemosensitivity of the tumor population to each drug, as well as the number of sub-populations present as a measure of tumor heterogeneity. These patient-tailored models can then be used to simulate therapeutic regimens and estimate clinical response.

Indexed as

Antineoplastic AgentsBone MarrowBone Marrow CellsCell Line, TumorDrug Screening Assays, AntitumorEndothelial CellsHigh-Throughput Screening AssaysHumansLab-On-A-Chip DevicesMesenchymal Stem CellsMultiple MyelomaTumor Cells, CulturedAntineoplastic Agents

Identifiers

PMID26274375
PMCPMC4544963
OpenAlexW904214523

What OpenQuestion holds

Textmetadata
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.