Comparison of multiple gene expression platforms for measuring a bladder cancer hypoxia signature

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Comparison of multiple gene expression platforms for measuring a bladder cancer hypoxia signature. / Smith, Tim; Lane, Brian; More, Elisabet et al.
In: Molecular Medicine Reports, Vol. 26, No. 2, 261, 20.06.2022.

Research output: Contribution to journalArticlepeer-review

HarvardHarvard

Smith, T, Lane, B, More, E, Valentine, H, Lunj, S, Abdelkarem, O, Irlam-Jones, J, Shabbir, R, Denley, H, Reeves, K, Hoskin, P, Choudhury, A & West, C 2022, 'Comparison of multiple gene expression platforms for measuring a bladder cancer hypoxia signature', Molecular Medicine Reports, vol. 26, no. 2, 261.

APA

Smith, T., Lane, B., More, E., Valentine, H., Lunj, S., Abdelkarem, O., Irlam-Jones, J., Shabbir, R., Denley, H., Reeves, K., Hoskin, P., Choudhury, A., & West, C. (2022). Comparison of multiple gene expression platforms for measuring a bladder cancer hypoxia signature. Molecular Medicine Reports, 26(2), Article 261. Advance online publication.

CBE

Smith T, Lane B, More E, Valentine H, Lunj S, Abdelkarem O, Irlam-Jones J, Shabbir R, Denley H, Reeves K, et al. 2022. Comparison of multiple gene expression platforms for measuring a bladder cancer hypoxia signature. Molecular Medicine Reports. 26(2):Article 261.

MLA

VancouverVancouver

Smith T, Lane B, More E, Valentine H, Lunj S, Abdelkarem O et al. Comparison of multiple gene expression platforms for measuring a bladder cancer hypoxia signature. Molecular Medicine Reports. 2022 Jun 20;26(2):261. Epub 2022 Jun 20.

Author

Smith, Tim ; Lane, Brian ; More, Elisabet et al. / Comparison of multiple gene expression platforms for measuring a bladder cancer hypoxia signature. In: Molecular Medicine Reports. 2022 ; Vol. 26, No. 2.

RIS

TY - JOUR

T1 - Comparison of multiple gene expression platforms for measuring a bladder cancer hypoxia signature

AU - Smith, Tim

AU - Lane, Brian

AU - More, Elisabet

AU - Valentine, Helen

AU - Lunj, Sapna

AU - Abdelkarem, Omneya

AU - Irlam-Jones, Joely

AU - Shabbir, Rekaya

AU - Denley, Helen

AU - Reeves, Kimberley

AU - Hoskin, Peter

AU - Choudhury, Ananya

AU - West, Catharine

PY - 2022/6/20

Y1 - 2022/6/20

N2 - Tumour hypoxia status provides prognostic informa‑tion and predicts response to hypoxia‑modifying treatments. Aprevious 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 diag‑nostic 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; concor‑dance 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.

AB - Tumour hypoxia status provides prognostic informa‑tion and predicts response to hypoxia‑modifying treatments. Aprevious 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 diag‑nostic 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; concor‑dance 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.

M3 - Article

VL - 26

JO - Molecular Medicine Reports

JF - Molecular Medicine Reports

SN - 1791-3004

IS - 2

M1 - 261

ER -