Evidence map›Paper›PMID 30951294›Full record

ArticleAnalytical chemistry2019

Anticancer Drug Affects Metabolomic Profiles in Multicellular Spheroids: Studies Using Mass Spectrometry Imaging Combined with Machine Learning.

Xiang Tian, Genwei Zhang, Zhu Zou, Zhibo Yang

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 41 citations in OpenAlex.

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  9. Emerging Computational Methods in Mass Spectrometry Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Review
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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

4 authors at 1 institution in 1 country.

Xiang TianDepartment of Chemistry and Biochemistry , University of Oklahoma , Norman , Oklahoma 73019 , United States.
Genwei ZhangDepartment of Chemistry and Biochemistry , University of Oklahoma , Norman , Oklahoma 73019 , United States.
Zhu ZouDepartment of Chemistry and Biochemistry , University of Oklahoma , Norman , Oklahoma 73019 , United States.
Zhibo YangDepartment of Chemistry and Biochemistry , University of Oklahoma , Norman , Oklahoma 73019 , United States.ORCID 0000-0003-0370-7450
University of Oklahoma · US

Funding

From Single Cells to Tissues: a Novel Mass Spectrometry Approach for BioanalysisR01GM116116 · NIGMS · UNIVERSITY OF OKLAHOMA · PI YANG, ZHIBO · 2015 to 2019
$1.5M
Mass Spectrometry Detection of Drugs in Single Bladder Cancer Cells from PatientsR21CA204706 · NCI · UNIVERSITY OF OKLAHOMA · PI BURGETT, ANTHONY WG · 2016 to 2018
$599k
NCI NIH HHS R21 CA204706NIGMS NIH HHS R01 GM116116
6 · The paper itself

Abstract

Multicellular spheroids (hereinafter referred to as spheroids) are 3D biological models. The metabolomic profiles inside spheroids provide crucial information reflecting the molecular phenotypes and microenvironment of cells. To study the influence of an anticancer drug on the spatially resolved metabolites, spheroids were cultured using HCT-116 colorectal cancer cells, treated with the anticancer drug Irinotecan under a series of time- and concentration-dependent conditions. The Single-probe mass spectrometry imaging (MSI) technique was utilized to conduct the experiments. The MSI data were analyzed using advanced data analysis methods to efficiently extract metabolomic information. Multivariate curve resolution alternating least square (MCR-ALS) was used to decompose each MS image into different components with grouped species. To improve the efficiency of data analysis, both supervised (Random Forest) and unsupervised (cluster large applications (CLARA)) machine learning (ML) methods were employed to cluster MS images according to their metabolomic features. Our results indicate that anticancer drug significantly affected the abundances of a variety of metabolites in different regions of spheroids. This integrated experiment and data analysis approach can facilitate the studies of metabolites in different types of 3D tumor models and tissues and potentially benefit the drug discovery, therapeutic resistance, and other biological research fields.

Indexed as

Machine LearningColorectal NeoplasmsHCT116 CellsHumansIrinotecanMetabolomeSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationSpheroids, CellularTopoisomerase I InhibitorsIrinotecanTopoisomerase I Inhibitors

Identifiers

PMID30951294
PMCPMC6573030
OpenAlexW2934443399

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.