Evidence map›Paper›PMID 31506430›Full record

ArticleCell death & disease2019

Lung tumorspheres reveal cancer stem cell-like properties and a score with prognostic impact in resected non-small-cell lung cancer.

Alejandro Herreros-Pomares, Juan Diego de-Maya-Girones, Silvia Calabuig-Fariñas, Rut Lucas, Alicia Martínez, José Miguel Pardo-Sánchez, Sergio Alonso, Ana Blasco, Ricardo Guijarro, Miguel Martorell and 9 more

Abstract read
In one paragraph

Article in Cell death & disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
–field-weighted citation impact
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

63 citing papers in PubMed.

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  18. Article
  19. Isolating Cancer Stem Cells from Solid Tumors.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  20. Cancer Stem Cells: Detection and Characterization from Solid Tumors.Methods in molecular biology (Clifton, N.J.) · 2024
    Article

3 more citing papers are in PubMed but not listed here.

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

19 authors.

Alejandro Herreros-PomaresMolecular Oncology Laboratory, Fundación Hospital General Universitario de Valencia, Valencia, Spain.
Juan Diego de-Maya-GironesOncogenic Signalling Laboratory, Centro de Investigación Príncipe Felipe, Valencia, Spain.
Silvia Calabuig-FariñasMolecular Oncology Laboratory, Fundación Hospital General Universitario de Valencia, Valencia, Spain.
Rut LucasDepartment of History of Science and Documentation, Universitat de València, Valencia, Spain.
Alicia MartínezCytomic Core Facility, Centro de Investigación Príncipe Felipe, Valencia, Spain.
José Miguel Pardo-SánchezOncogenic Signalling Laboratory, Centro de Investigación Príncipe Felipe, Valencia, Spain.
Sergio AlonsoProgram of Predictive and Personalized Medicine of Cancer, Institut de Reserca Germans Trias i Pujol (PMPPC-IGTP), Badalona, Spain.ORCID http://orcid.org/0000-0001-6497-892X
Ana BlascoDepartment of Medical Oncology, Hospital General Universitario de Valencia, Valencia, Spain.
Ricardo GuijarroDepartment of Thoracic Surgery, Hospital General Universitario de Valencia, Valencia, Spain.
Miguel MartorellDepartment of Pathology, Hospital General Universitario de Valencia, Valencia, Spain.
Eva EscorihuelaMolecular Oncology Laboratory, Fundación Hospital General Universitario de Valencia, Valencia, Spain.
María Dolores ChiaraCIBERONC, Valencia, Spain.
Elena DuréndezMolecular Oncology Laboratory, Fundación Hospital General Universitario de Valencia, Valencia, Spain.
Carolina GandíaOncogenic Signalling Laboratory, Centro de Investigación Príncipe Felipe, Valencia, Spain.
Jerónimo FortezaInstituto Valenciano de Patología, Unidad Mixta de Patología Molecular, Centro Investigación Príncipe Felipe/Universidad Católica de Valencia, Valencia, Spain.
Rafael SireraCIBERONC, Valencia, Spain.
Eloísa Jantus-LewintreMolecular Oncology Laboratory, Fundación Hospital General Universitario de Valencia, Valencia, Spain. jantus_elo@gva.es.ORCID http://orcid.org/0000-0001-7395-4380
Rosa FarràsOncogenic Signalling Laboratory, Centro de Investigación Príncipe Felipe, Valencia, Spain. rfarras@cipf.es.
Carlos CampsMolecular Oncology Laboratory, Fundación Hospital General Universitario de Valencia, Valencia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The high resistance against current therapies found in non-small-cell lung cancer (NSCLC) has been associated to cancer stem-like cells (CSCs), a population for which the identification of targets and biomarkers is still under development. In this study, primary cultures from early-stage NSCLC patients were established, using sphere-forming assays for CSC enrichment and adherent conditions for the control counterparts. Patient-derived tumorspheres showed self-renewal and unlimited exponential growth potentials, resistance against chemotherapeutic agents, invasion and differentiation capacities in vitro, and superior tumorigenic potential in vivo. Using quantitative PCR, gene expression profiles were analyzed and NANOG, NOTCH3, CD44, CDKN1A, SNAI1, and ITGA6 were selected to distinguish tumorspheres from adherent cells. Immunoblot and immunofluorescence analyses confirmed that proteins encoded by these genes were consistently increased in tumorspheres from adenocarcinoma patients and showed differential localization and expression patterns. The prognostic role of genes significantly overexpressed in tumorspheres was evaluated in a NSCLC cohort (N = 661) from The Cancer Genome Atlas. Based on a Cox regression analysis, CDKN1A, SNAI1, and ITGA6 were found to be associated with prognosis and used to calculate a gene expression score, named CSC score. Kaplan-Meier survival analysis showed that patients with high CSC score have shorter overall survival (OS) in the entire cohort [37.7 vs. 60.4 months (mo), p = 0.001] and the adenocarcinoma subcohort [36.6 vs. 53.5 mo, p = 0.003], but not in the squamous cell carcinoma one. Multivariate analysis indicated that this gene expression score is an independent biomarker of prognosis for OS in both the entire cohort [hazard ratio (HR): 1.498; 95% confidence interval (CI), 1.167-1.922; p = 0.001] and the adenocarcinoma subcohort [HR: 1.869; 95% CI, 1.275-2.738; p = 0.001]. This score was also analyzed in an independent cohort of 114 adenocarcinoma patients, confirming its prognostic value [42.90 vs. not reached (NR) mo, p = 0.020]. In conclusion, our findings provide relevant prognostic information for lung adenocarcinoma patients and the basis for developing novel therapies. Further studies are required to identify suitable markers and targets for lung squamous cell carcinoma patients.

Indexed as

Adenocarcinoma of LungCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellLung NeoplasmsNeoplastic Stem CellsSpheroids, CellularA549 CellsAdultAgedAged, 80 and overAnimalsFemaleGene Expression Regulation, NeoplasticHumansMaleMiceNeoplasm Proteins

Identifiers

PMID31506430
PMCPMC6737160

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.