Comparison of multiple gene expression platforms for measuring a bladder cancer hypoxia signature
Authors
Smith, Tim A DLane, Brian
More, Elisabet
Valentine, Helen R
Lunj, Sapna
Abdelkarem, O. A.
Irlam-Jones, Joely J
Shabbir, Rekaya
Vora, Shrushti
Denley, H.
Reeves, Kimberley J
Hoskin, Peter J
Choudhury, Ananya
West, Catharine M L
Affiliation
Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester M20 4GJ, UKIssue Date
2022
Metadata
Show full item recordAbstract
Tumour hypoxia status provides prognostic information and predicts response to hypoxia‑modifying treatments. A previous study by our group derived a 24‑gene signature to assess hypoxia in bladder cancer. The objectives of the present study were to compare platforms for generating signature scores, identify cut‑off values for prospective studies, assess intra‑tumour heterogeneity and confirm hypoxia relevance. Briefly, RNA was extracted from prospectively collected diagnostic biopsies of muscle invasive bladder cancer (51 patients), and gene expression was measured using customised Taqman Low Density Array (TLDA) cards, NanoString and Clariom S arrays. Cross‑platform transferability of the gene signature was assessed using regression and concordance analysis. The cut‑off values were the cohort median expression values. Intra‑ and inter‑tumour variability were determined in a retrospective patient cohort (n=51) with multiple blocks (2‑18) from the same tumour. To demonstrate relevance, bladder cancer cell lines were exposed to hypoxia (0.1% oxygen, 24 h), and extracted RNA was run on custom TLDA cards. Hypoxia scores (HS) values showed good agreement between platforms: Clariom S vs. TLDA (r=0.72, P<0.0001; concordance 73%); Clariom S vs. NanoString (r=0.84, P<0.0001; 78%); TLDA vs. NanoString (r=0.80, P<0.0001; 78%). Cut‑off values were 0.047 (TLDA), 7.328 (NanoString) and 6.667 (Clariom S). Intra‑tumour heterogeneity in gene expression and HS (coefficient of variation 3.9%) was less than inter‑tumour (7.9%) variability. HS values were higher in bladder cancer cells exposed to hypoxia compared with normoxia (P<0.02). In conclusion, the present study revealed that application of the 24‑gene bladder cancer hypoxia signature was platform agnostic, cut‑off values determined prospectively can be used in a clinical trial, intra‑tumour heterogeneity was low and the signature was sensitive to changes in oxygen levels in vitro.Citation
Smith TAD, Lane B, More E, Valentine H, Lunj S, Abdelkarem OA, et al. Comparison of multiple gene expression platforms for measuring a bladder cancer hypoxia signature. Molecular Medicine Reports. 2022 Aug;26(2). PubMed PMID: WOS:000822697700001.Journal
Molecular Medicine ReportsDOI
10.3892/mmr.2022.12777.PubMed ID
35730624Additional Links
https://dx.doi.org/10.3892/mmr.2022.12777.Type
Meetings and Proceedingsae974a485f413a2113503eed53cd6c53
10.3892/mmr.2022.12777.
Scopus Count
Collections
Related articles
- A 26-gene hypoxia signature predicts benefit from hypoxia-modifying therapy in laryngeal cancer but not bladder cancer.
- Authors: Eustace A, Mani N, Span PN, Irlam JJ, Taylor J, Betts GN, Denley H, Miller CJ, Homer JJ, Rojas AM, Hoskin PJ, Buffa FM, Harris AL, Kaanders JH, West CM
- Issue date: 2013 Sep 1
- Prospective technical validation and assessment of intra-tumour heterogeneity of a low density array hypoxia gene profile in head and neck squamous cell carcinoma.
- Authors: Betts GN, Eustace A, Patiar S, Valentine HR, Irlam J, Ramachandran A, Merve A, Homer JJ, Möller-Levet C, Buffa FM, Hall G, Miller CJ, Harris AL, West CM
- Issue date: 2013 Jan
- A miRNA signature predicts benefit from addition of hypoxia-modifying therapy to radiation treatment in invasive bladder cancer.
- Authors: Khan MT, Irlam-Jones JJ, Pereira RR, Lane B, Valentine HR, Aragaki K, Dyrskjøt L, McConkey DJ, Hoskin PJ, Choudhury A, West CML
- Issue date: 2021 Jul
- A Gene Signature for Selecting Benefit from Hypoxia Modification of Radiotherapy for High-Risk Bladder Cancer Patients.
- Authors: Yang L, Taylor J, Eustace A, Irlam JJ, Denley H, Hoskin PJ, Alsner J, Buffa FM, Harris AL, Choudhury A, West CML
- Issue date: 2017 Aug 15
- Combining imaging- and gene-based hypoxia biomarkers in cervical cancer improves prediction of chemoradiotherapy failure independent of intratumour heterogeneity.
- Authors: Fjeldbo CS, Hompland T, Hillestad T, Aarnes EK, Günther CC, Kristensen GB, Malinen E, Lyng H
- Issue date: 2020 Jul