Evidence map›Paper›PMID 39792555›Full record

ArticleCell reports2025

Conserved patterns of transcriptional dysregulation, heterogeneity, and cell states in clear cell kidney cancer.

Olivia Lombardi, Ran Li, Faiz Jabbar, Hannah Evans, Silvia Halim, Joanna D C C Lima, Lisa Browning, Helen M Byrne, Hani Choudhry, Peter J Ratcliffe and 1 more

Abstract read
In one paragraph

Article in Cell reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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

11 authors.

Olivia LombardiNDM Research Building, University of Oxford, Old Road Campus, Headington, Oxford OX3 7FZ, UK.
Ran LiNDM Research Building, University of Oxford, Old Road Campus, Headington, Oxford OX3 7FZ, UK.
Faiz JabbarNDM Research Building, University of Oxford, Old Road Campus, Headington, Oxford OX3 7FZ, UK.
Hannah EvansNDM Research Building, University of Oxford, Old Road Campus, Headington, Oxford OX3 7FZ, UK.
Silvia HalimNDM Research Building, University of Oxford, Old Road Campus, Headington, Oxford OX3 7FZ, UK.
Joanna D C C LimaNDM Research Building, University of Oxford, Old Road Campus, Headington, Oxford OX3 7FZ, UK; Ludwig Institute for Cancer Research, University of Oxford, Old Road Campus, Headington, Oxford OX3 7DQ, UK.
Lisa BrowningDepartment of Cellular Pathology, Oxford University Hospitals NHS Foundation Trust, Headington, Oxford OX3 9DU, UK.
Helen M ByrneWolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Oxford OX2 6GG, UK; Ludwig Institute for Cancer Research, University of Oxford, Old Road Campus, Headington, Oxford OX3 7DQ, UK.
Hani ChoudhryDepartment of Biochemistry, Faculty of Science, Center of Innovation in Personalized Medicine, King Fahd Center for Medical Research, King Abdulaziz University, Jeddah 3270, Saudi Arabia.
Peter J RatcliffeLudwig Institute for Cancer Research, University of Oxford, Old Road Campus, Headington, Oxford OX3 7DQ, UK; The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK.
David R MoleNDM Research Building, University of Oxford, Old Road Campus, Headington, Oxford OX3 7FZ, UK. Electronic address: david.mole@ndm.ox.ac.uk.

Funding

Cancer Research UK A416016Department of Health RP-2015-06-004Wellcome Trust 106241Wellcome Trust 106241/Z/14/ZWellcome Trust 203141/Z/16/ZWellcome Trust FC001501
6 · The paper itself

Abstract

Clear cell kidney cancers are characterized both by conserved oncogenic driver events and by marked intratumor genetic and phenotypic heterogeneity, which help drive tumor progression, metastasis, and resistance to therapy. How these are reflected in transcriptional programs within the cancer and stromal cell components remains an important question with the potential to drive novel therapeutic approaches to treating cancer. To better understand these programs, we perform single-cell transcriptomics on 75 multi-regional biopsies from kidney tumors and normal kidney. We identify conserved patterns of transcriptional dysregulation and their upstream regulators within the tumor and associated vasculature. We describe recurrent subclonal transcriptional consequences of Chr14q loss linked to metastatic potential. We identify prognostically significant conserved patterns of intratumor transcriptional heterogeneity. These reflect co-existing cell states found in both cancer cells and normal kidney cells, indicating that rather than arising from genetic heterogeneity they are a consequence of lineage plasticity.

Indexed as

Carcinoma, Renal CellGene Expression Regulation, NeoplasticGenetic HeterogeneityKidney NeoplasmsTranscription, GeneticHumansSingle-Cell AnalysisTranscriptomeaneuploidyccRCCCP: CancerCP: GenomicsevolutionheterogeneityHIFhypoxiaplasticitysingle-celltranscriptomicsVHL

Identifiers

PMID39792555
PMCPMC7617885

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.