Evidence map›Paper›PMID 34973010›Full record

ArticleAdvances in experimental medicine and biology2021

Systems Approaches in the Common Metabolomics in Acute Lymphoblastic Leukemia and Rhabdomyosarcoma Cells: A Computational Approach.

Tselios C, Apostolos Zaravinos, Athanasios N Tsartsalis, Anna Tagka, Athanasios Kotoulas, Styliani A Geronikolou, Maria Braoudaki, George I Lambrou

Abstract read
PubMed Publisher
In one paragraph

Article in Advances in experimental medicine and biology, 2021. 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
7.9field-weighted citation impact, top 2% 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, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Cytotoxic Effect ofMolecules (Basel, Switzerland) · 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

8 authors at 6 institutions in 3 countries.

Tselios CNational and Kapodistrian University of Athens, Laboratory for the Research of Musculoskeletal Disorders, Athens, Greece.
Apostolos ZaravinosEuropean University Cyprus, Department of Life Sciences, Nicosia CY, Cyprus.
Athanasios N TsartsalisNaval Hospital of Athens, Department of Endocrinology Diabetes and Metabolism, Athens, Greece.
Anna TagkaFirst Department of Dermatology and Venereology, "Andreas Syggros" Hospital National and Kapodistrian University of Athens, Athens, Greece.
Athanasios KotoulasNational Technical University of Athens, School of Electrical and Computer Engineering, Biomedical Engineering Laboratory, Athens, Greece.
Styliani A GeronikolouBiomedical Research Foundation of Academy of Athens, Clinical, Translational, Experimental Surgery Research Centerment of Pediatrics, Choremeio Research Laboratory, Athens, Greece.
Maria BraoudakiDepartment of Life and Environmental Sciences, School of Life and Health Sciences, University of Hertfordshire, Hatfield, England.
George I LambrouNational and Kapodistrian University of Athens, First Department of Pediatrics, Choremeio Research Laboratory, Athens, Greece. glamprou@med.uoa.gr.
National and Kapodistrian University of Athens · GRAcademy of Athens · GRAthens Naval & Veterans Hospital · GREuropean University Cyprus · CYNational Technical University of Athens · GRUniversity of Hertfordshire · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute lymphoblastic leukemia is the most common childhood malignancy. Rhabdomyosarcoma, on the other hand, is a rare type of malignancy which belongs to the primitive neuroectodermal family of tumors. The aim of the present study was to use computational methods in order to examine the similarities and differences of the two different tumors using two cell lines as a model, the T-cell acute lymphoblastic leukemia CCRF-CEM and rhabdomyosarcoma TE-671, and, in particular, similarities of the metabolic pathways utilized by two different cell types in vitro. Both cell lines were studied using microarray technology. Differential expression profile has revealed genes with similar expression, suggesting that there are common mechanisms between the two cell types, where some of these mechanisms are preserved from their ancestor embryonic cells. Expression of identified species was modeled using known functions, in order to find common patterns in metabolism-related mechanisms. Species expression manifested very interesting dynamics, and we were able to model the system with elliptical/helical functions. We discuss the results of our analysis in the context of the commonly occurring genes between the two cell lines and the respective participating pathways as far as extracellular signaling and cell cycle regulation/proliferation are concerned. In the present study, we have developed a methodology, which was able to unravel some of the underlying dynamics of the metabolism-related species of two different cell types. Such approaches could prove useful in understanding the mechanisms of tumor ontogenesis, progression, and proliferation.

Indexed as

Precursor Cell Lymphoblastic Leukemia-LymphomaPrecursor T-Cell Lymphoblastic Leukemia-LymphomaRhabdomyosarcomaCell Line, TumorChildHumansMetabolomicsCCRF-CEMLeukemiaMetabolomicsMicroarraysRhabdomyosarcomaTE_671

Identifiers

PMID34973010
OpenAlexW4206385826

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.