Evidence map›Paper›PMID 31527554›Full record

ArticleCells2019

Single Cell Mass Cytometry of Non-Small Cell Lung Cancer Cells Reveals Complexity of In vivo And Three-Dimensional Models over the Petri-dish.

Róbert Alföldi, József Á Balog, Nóra Faragó, Miklós Halmai, Edit Kotogány, Patrícia Neuperger, Lajos I Nagy, Liliána Z Fehér, Gábor J Szebeni, László G Puskás

Abstract read
In one paragraph

Article in Cells, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
  2. Potential anticancer effects ofFrontiers in pharmacology · 2025
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Spatial-omics: Novel approaches to probe cell heterogeneity and extracellular matrix biology.Matrix biology : journal of the International Society for Matrix Biology · 2020
    Review
  14. Article
  15. Imidazo[1,2-International journal of molecular sciences · 2020
    Article
  16. Article
  17. Review
  18. 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

10 authors.

Róbert AlföldiAvicor Ltd., H6726 Szeged, Hungary.
József Á BalogUniversity of Szeged, PhD School in Biology, H6726 Szeged, Hungary.
Nóra FaragóLaboratory of Functional Genomics, HAS BRC, H6726 Szeged, Hungary.
Miklós HalmaiLaboratory of Functional Genomics, HAS BRC, H6726 Szeged, Hungary.
Edit KotogányLaboratory of Functional Genomics, HAS BRC, H6726 Szeged, Hungary.
Patrícia NeupergerLaboratory of Functional Genomics, HAS BRC, H6726 Szeged, Hungary.
Lajos I NagyAvidin Ltd., H6726 Szeged, Hungary.
Liliána Z FehérAvidin Ltd., H6726 Szeged, Hungary.
Gábor J SzebeniLaboratory of Functional Genomics, HAS BRC, H6726 Szeged, Hungary. szebeni.gabor@brc.hu.
László G PuskásAvicor Ltd., H6726 Szeged, Hungary. laszlo@avidinbiotech.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single cell genomics and proteomics with the combination of innovative three-dimensional (3D) cell culture techniques can open new avenues toward the understanding of intra-tumor heterogeneity. Here, we characterize lung cancer markers using single cell mass cytometry to compare different in vitro cell culturing methods: two-dimensional (2D), carrier-free, or bead-based 3D culturing with in vivo xenografts. Proliferation, viability, and cell cycle phase distribution has been investigated. Gene expression analysis enabled the selection of markers that were overexpressed:

Indexed as

Cell Culture TechniquesFlow CytometryModels, BiologicalSingle-Cell AnalysisA549 CellsCarcinoma, Non-Small-Cell LungHumansLung NeoplasmsTumor Cells, Culturednon-small cell lung cancersingle cell mass cytometrysingle cell proteomicsthree-dimensional tissue culture

Identifiers

PMID31527554
PMCPMC6770097

What OpenQuestion holds

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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.