Evidence map›Paper›PMID 38782901›Full record

ArticleNature communications2024

Single-cell and spatial transcriptomics analysis of non-small cell lung cancer.

Marco De Zuani, Haoliang Xue, Jun Sung Park, Stefan C Dentro, Zaira Seferbekova, Julien Tessier, Sandra Curras-Alonso, Angela Hadjipanayis, Emmanouil I Athanasiadis, Moritz Gerstung and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 143 papers.

0numbers the graph read from it
0cells of the map it votes in
143citing 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

143 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Review
  20. Article

83 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

12 authors.

Marco De Zuani *Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.ORCID http://orcid.org/0000-0002-1230-2714
Haoliang Xue *Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.ORCID http://orcid.org/0000-0002-1264-5303
Jun Sung ParkWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.ORCID http://orcid.org/0000-0001-7149-6769
Stefan C DentroEuropean Molecular Biology Laboratory, European Bioinformatics Institute EMBL-EBI, Wellcome Genome Campus, Hinxton, UK.
Zaira SeferbekovaEuropean Molecular Biology Laboratory, European Bioinformatics Institute EMBL-EBI, Wellcome Genome Campus, Hinxton, UK.ORCID http://orcid.org/0000-0002-3131-3697
Julien TessierPrecision Medicine and Computational Biology, Sanofi, Cambridge, MA, USA.
Sandra Curras-AlonsoPrecision Medicine and Computational Biology, Sanofi, Paris, France.
Angela HadjipanayisPrecision Medicine and Computational Biology, Sanofi, Cambridge, MA, USA.
Emmanouil I AthanasiadisOpenTargets, Wellcome Genome Campus, Hinxton, UK.ORCID http://orcid.org/0000-0002-2771-5562
Moritz GerstungOpenTargets, Wellcome Genome Campus, Hinxton, UK.
Omer BayraktarWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.ORCID http://orcid.org/0000-0001-6055-277X
Ana CvejicWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK. ana.cvejic@bric.ku.dk.ORCID http://orcid.org/0000-0003-3204-9311

Funding

Cancer Research UK (CRUK) CTRQQR-2021\100012EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) CONTEXT 101043559Wellcome Trust
6 · The paper itself

Abstract

Lung cancer is the second most frequently diagnosed cancer and the leading cause of cancer-related mortality worldwide. Tumour ecosystems feature diverse immune cell types. Myeloid cells, in particular, are prevalent and have a well-established role in promoting the disease. In our study, we profile approximately 900,000 cells from 25 treatment-naive patients with adenocarcinoma and squamous-cell carcinoma by single-cell and spatial transcriptomics. We note an inverse relationship between anti-inflammatory macrophages and NK cells/T cells, and with reduced NK cell cytotoxicity within the tumour. While we observe a similar cell type composition in both adenocarcinoma and squamous-cell carcinoma, we detect significant differences in the co-expression of various immune checkpoint inhibitors. Moreover, we reveal evidence of a transcriptional "reprogramming" of macrophages in tumours, shifting them towards cholesterol export and adopting a foetal-like transcriptional signature which promotes iron efflux. Our multi-omic resource offers a high-resolution molecular map of tumour-associated macrophages, enhancing our understanding of their role within the tumour microenvironment.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsSingle-Cell AnalysisTranscriptomeTumor MicroenvironmentAdenocarcinomaCarcinoma, Squamous CellGene Expression ProfilingGene Expression Regulation, NeoplasticHumansKiller Cells, NaturalMacrophagesTumor-Associated Macrophages

Identifiers

PMID38782901
PMCPMC11116453

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.