Evidence map›Paper›PMID 32443825›Full record

ArticleCancers2020

Common and Differential Traits of the Membrane Lipidome of Colon Cancer Cell Lines and their Secreted Vesicles: Impact on Studies Using Cell Lines.

Joan Bestard-Escalas, Albert Maimó-Barceló, Daniel H Lopez, Rebeca Reigada, Francisca Guardiola-Serrano, José Ramos-Vivas, Thorsten Hornemann, Toshiro Okazaki, Gwendolyn Barceló-Coblijn

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. The expanding organelle lipidomes: current knowledge and challenges.Cellular and molecular life sciences : CMLS · 2023
    Review
  7. Review
  8. Review
  9. Article
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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

9 authors at 5 institutions in 3 countries.

Joan Bestard-EscalasLipids in Human Pathology, Health Research Institute of the Balearic Islands (IdISBa), Research Unit, University Hospital Son Espases, 07120 Palma, Spain.ORCID 0000-0003-4917-3781
Albert Maimó-BarcelóLipids in Human Pathology, Health Research Institute of the Balearic Islands (IdISBa), Research Unit, University Hospital Son Espases, 07120 Palma, Spain.
Daniel H LopezLipids in Human Pathology, Health Research Institute of the Balearic Islands (IdISBa), Research Unit, University Hospital Son Espases, 07120 Palma, Spain.
Rebeca ReigadaLipids in Human Pathology, Health Research Institute of the Balearic Islands (IdISBa), Research Unit, University Hospital Son Espases, 07120 Palma, Spain.
Francisca Guardiola-SerranoDepartment of Biology, University of the Balearic Islands, 07120 Palma, Spain.
José Ramos-VivasValdecilla Research Institute (IDIVAL), 39011 Santander, Spain.ORCID 0000-0001-8795-519X
Thorsten HornemannInstitute of Clinical Chemistry, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland.ORCID 0000-0002-4218-1087
Toshiro OkazakiDepartment of Hematology/Immunity, Kanazawa Medical University, Uchinada-machi, Kahoku-gun, Ishikawa 920-0293, Japan.
Gwendolyn Barceló-CoblijnLipids in Human Pathology, Health Research Institute of the Balearic Islands (IdISBa), Research Unit, University Hospital Son Espases, 07120 Palma, Spain.ORCID 0000-0003-1017-5616
Health Research Institute of the Balearic Islands · ESInstituto de Salud Carlos III · ESKanazawa Medical University · JPUniversitat de les Illes Balears · ESUniversity of Zurich · CH

Funding

European Regional Development Fund CP12/03338 and RTC-2015-3693-1European Social Fund FPI/1787/2015Fundación Científica Asociación Española Contra el Cáncer 2010Govern Balear, (Direcció General d'Innovació i Recerca) FPI/1787/2015Instituto de Salud Carlos III CP12/03338Kanazawa Medical University H2012-15; 2012-2016Ministerio de Economía, Industria y Competitividad, Gobierno de España RTC-2015-3693-1Ministry of Education, Culture, Sports, Science and Technology Japan S1201004Takeda Science Foundation N/A
6 · The paper itself

Abstract

Colorectal cancer (CRC) is the fourth leading cause of cancer death in the world. Despite the screening programs, its incidence in the population below the 50s is increasing. Therefore, new stratification protocols based on multiparametric approaches are highly needed. In this scenario, the lipidome is emerging as a powerful tool to classify tumors, including CRC, wherein it has proven to be highly sensitive to cell malignization. Hence, the possibility to describe the lipidome at the level of lipid species has renewed the interest to investigate the role of specific lipid species in pathologic mechanisms, being commercial cell lines, a model still heavily used for this purpose. Herein, we characterize the membrane lipidome of five commercial colon cell lines and their extracellular vesicles (EVs). The results demonstrate that both cell and EVs lipidome was able to segregate cells according to their malignancy. Furthermore, all CRC lines shared a specific and strikingly homogenous impact on ether lipid species. Finally, this study also cautions about the need of being aware of the singularities of each cell line at the level of lipid species. Altogether, this study firmly lays the groundwork of using the lipidome as a solid source of tumor biomarkers.

Indexed as

cell linescolorectal cancerextracellular vesicleslipid biomarkerslipidomicsplasmalogens)

Identifiers

PMID32443825
PMCPMC7281030
OpenAlexW3028555741

What OpenQuestion 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 OpenQuestion graph.