Evidence map›Paper›PMID 40867253›Full record

ArticleCancers2025

Gene Expression in Muscle-Invasive and Non-Muscle-Invasive Bladder Cancer Cells Exposed to Hypoxia.

Rekaya Shabbir, Conrado G Quiles, Brian Lane, Leo Zeef, Peter J Hoskin, Ananya Choudhury, Catharine M L West, Tim A D Smith

Abstract read
In one paragraph

Article in Cancers, 2025. 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. Article
  2. Article
  3. Article
  4. Article
  5. 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

8 authors.

Rekaya ShabbirDivision of Cancer Sciences, University of Manchester, Manchester M20 4GJ, UK.ORCID 0009-0000-1066-145X
Conrado G QuilesDivision of Cancer Sciences, University of Manchester, Manchester M20 4GJ, UK.
Brian LaneDivision of Cancer Sciences, University of Manchester, Manchester M20 4GJ, UK.
Leo ZeefBioinformatics Core Facility, University of Manchester, Manchester M13 6PT, UK.ORCID 0000-0003-2833-7847
Peter J HoskinDivision of Cancer Sciences, University of Manchester, Manchester M20 4GJ, UK.ORCID 0000-0001-8323-9567
Ananya ChoudhuryDivision of Cancer Sciences, University of Manchester, Manchester M20 4GJ, UK.
Catharine M L WestDivision of Cancer Sciences, University of Manchester, Manchester M20 4GJ, UK.ORCID 0000-0002-0839-3449
Tim A D SmithDivision of Cancer Sciences, University of Manchester, Manchester M20 4GJ, UK.ORCID 0000-0002-3945-630X

Funding

Ministry of Higher Education and the Ministry of Health, Saudi Arabian Government (Riyadh, Saudi Arabia) and the Saudi Arabian Cultural Bureau (London, United Kingdom), [KSP12018294/1440-7582-2].
6 · The paper itself

Abstract

introductionHypoxic cancers are radioresistant, but biomarkers based on expression of multiple genes can identify patients who will benefit from hypoxia modification. Most studies identifying relevant genes exposed cells in culture to 1% oxygen, which activates hypoxia-inducible factor (HIF). However, oxygen concentrations in hypoxic tumours are heterogeneous ranging from <0.1%. As lower oxygen levels would likely affect transcriptional responses, we aimed to investigate how gene selection at different oxygen levels affects the genes identified and their prognostic capability.

methodsFour MIBC (J82, T24, UMUC3, HT1376) and two non-MIBC (RT4, RT112) bladder cancer cell lines were exposed to varying oxygen levels (20%, 1%, 0.2% and 0.1% O

resultsThe number of upregulated genes increased with decreasing O

conclusionsThe number of genes upregulated by exposure of bladder cancer cells to hypoxia increases as O

Indexed as

bladder cancerhypoxiasignature biomarkertranscriptome

Identifiers

PMID40867253
PMCPMC12384837

What Socratic holds

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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 Socratic graph.