Evidence map›Paper›PMID 38195504›Full record

ArticleGenome medicine2024

Transcriptional signals of transformation in human cancer.

Gerda Kildisiute, Maria Kalyva, Rasa Elmentaite, Stijn van Dongen, Christine Thevanesan, Alice Piapi, Kirsty Ambridge, Elena Prigmore, Muzlifah Haniffa, Sarah A Teichmann and 4 more

Abstract read
In one paragraph

Article in Genome medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

14 authors.

Gerda Kildisiute *Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK.
Maria Kalyva *EMBL-EBI, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Rasa ElmentaiteWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK.
Stijn van DongenWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK.
Christine ThevanesanUniversity College London Cancer Institute and Great Ormond Street Biomedical Research Centre, London, UK.
Alice PiapiUniversity College London Cancer Institute and Great Ormond Street Biomedical Research Centre, London, UK.
Kirsty AmbridgeWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK.
Elena PrigmoreWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK.
Muzlifah HaniffaWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK.
Sarah A TeichmannWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK.
Karin StraathofUniversity College London Cancer Institute and Great Ormond Street Biomedical Research Centre, London, UK.
Isidro Cortés-CirianoEMBL-EBI, Wellcome Genome Campus, Hinxton, Cambridge, UK. icortes@ebi.ac.uk.
Sam BehjatiWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK. sb31@sanger.ac.uk.
Matthew D YoungWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK. my4@sanger.ac.uk.ORCID 0000-0003-0937-5290

Funding

Wellcome TrustWellcome Trust 220540/Z/20/AWellcome Trust 223135/Z/21/Z
6 · The paper itself

Abstract

backgroundAs normal cells transform into cancers, their cell state changes, which may drive cancer cells into a stem-like or more primordial, foetal, or embryonic cell state. The transcriptomic profile of this final state may encode information about cancer's origin and how cancers relate to their normal cell counterparts.

methodsHere, we used single-cell atlases to study cancer transformation in transcriptional terms. We utilised bulk transcriptomes across a wide spectrum of adult and childhood cancers, using a previously established method to interrogate their relationship to normal cell states. We extend and validate these findings using single-cell cancer transcriptomes and organ-specific atlases of colorectal and liver cancer.

resultsOur bulk transcriptomic data reveals that adult cancers rarely return to an embryonic state, but that a foetal state is a near-universal feature of childhood cancers. This finding was confirmed with single-cell cancer transcriptomes.

conclusionsOur findings provide a nuanced picture of transformation in human cancer, indicating cancer-specific rather than universal patterns of transformation pervade adult epithelial cancers.

Indexed as

Liver NeoplasmsAdultEmbryonic DevelopmentFetusGene Expression ProfilingHumansTranscriptome

Identifiers

PMID38195504
PMCPMC10775554

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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.