Evidence map›Paper›PMID 27814385›Full record

ArticlePloS one2016

From Proteomic Analysis to Potential Therapeutic Targets: Functional Profile of Two Lung Cancer Cell Lines, A549 and SW900, Widely Studied in Pre-Clinical Research.

Luís Korrodi-Gregório, Vanessa Soto-Cerrato, Rui Vitorino, Margarida Fardilha, Ricardo Pérez-Tomás

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. 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
1.9field-weighted citation impact, top 14% 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, 61 citations in OpenAlex.

  1. Article
  2. Article
  3. Bacterioruberin fromInternational journal of molecular sciences · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

5 authors at 3 institutions in 2 countries.

Luís Korrodi-GregórioCancer Cell Biology Research Group, Department of Pathology and Experimental Therapeutics, Faculty of Medicine, University of Barcelona, Campus Bellvitge, Feixa Llarga s/n, 08907, L'Hospitalet de Llobregat, Spain.ORCID http://orcid.org/0000-0002-2811-8081
Vanessa Soto-CerratoCancer Cell Biology Research Group, Department of Pathology and Experimental Therapeutics, Faculty of Medicine, University of Barcelona, Campus Bellvitge, Feixa Llarga s/n, 08907, L'Hospitalet de Llobregat, Spain.
Rui VitorinoDepartment of Medical Sciences, Institute for Research in Biomedicine-iBiMED, Health Sciences Program, University of Aveiro, Campus de Santiago, 3810-193, Aveiro, Portugal.
Margarida FardilhaLaboratory of Signal Transduction, Department of Medical Sciences, Institute for Research in Biomedicine-iBiMED, Health Sciences Program, University of Aveiro, Campus de Santiago, 3810-193, Aveiro, Portugal.
Ricardo Pérez-TomásCancer Cell Biology Research Group, Department of Pathology and Experimental Therapeutics, Faculty of Medicine, University of Barcelona, Campus Bellvitge, Feixa Llarga s/n, 08907, L'Hospitalet de Llobregat, Spain.
Universitat de Barcelona · ESUniversity of Aveiro · PTUniversidade do Porto · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is a serious health problem and the leading cause of cancer death worldwide. The standard use of cell lines as in vitro pre-clinical models to study the molecular mechanisms that drive tumorigenesis and access drug sensitivity/effectiveness is of undisputable importance. Label-free mass spectrometry and bioinformatics were employed to study the proteomic profiles of two representative lung cancer cell lines and to unravel the specific biological processes. Adenocarcinoma A549 cells were enriched in proteins related to cellular respiration, ubiquitination, apoptosis and response to drug/hypoxia/oxidative stress. In turn, squamous carcinoma SW900 cells were enriched in proteins related to translation, apoptosis, response to inorganic/organic substances and cytoskeleton organization. Several proteins with differential expression were related to cancer transformation, tumor resistance, proliferation, migration, invasion and metastasis. Combined analysis of proteome and interactome data highlighted key proteins and suggested that adenocarcinoma might be more prone to PI3K/Akt/mTOR and topoisomerase IIα inhibitors, and squamous carcinoma to Ck2 inhibitors. Moreover, ILF3 overexpression in adenocarcinoma, and PCNA and NEDD8 in squamous carcinoma shows them as promising candidates for therapeutic purposes. This study highlights the functional proteomic differences of two main subtypes of lung cancer models and hints several targeted therapies that might assist in this type of cancer.

Indexed as

A549 CellsAdenocarcinomaApoptosisCarcinoma, Squamous CellCell Line, TumorCell MovementCell ProliferationHumansLung NeoplasmsNEDD8 ProteinNuclear Factor 90 ProteinsPhosphatidylinositol 3-KinasesProliferating Cell Nuclear AntigenProteomeProteomicsProto-Oncogene Proteins c-aktMTOR protein, humanNEDD8 ProteinNEDD8 protein, humanNuclear Factor 90 ProteinsPhosphatidylinositol 3-KinasesProliferating Cell Nuclear AntigenProteomeProto-Oncogene Proteins c-aktTopoisomerase II InhibitorsTOR Serine-Threonine KinasesUbiquitins

Identifiers

PMID27814385
PMCPMC5096714
OpenAlexW2547418417

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.