Transcriptomic profiling of tropomyosin isoforms in bladder cancer: multi-platform sequencing and experimental validation

mRNA isoform level-based biomarkers are understudied but might complement DNA based approaches. The expression of tropomyosin isoforms differs between normal and cancer cells. Tropomyosin (TPM) isoforms generated by alternative splicing may contribute to Bladder Cancer (BC) biology, but their diagnostic potential has not been defined. We analysed RNAseq data from six independent BC datasets to predict TPM isoform expression. Predictions were validated through targeted long-read sequencing and isoform-specific quantitative PCR (qPCR) in archived tumour tissues (n = 90) and BC cell lines (n = 5). Urine samples from patients with BC (n = 12) and non-cancer controls (n = 16) were assessed for diagnostic performance. The expression ratios of 2 pairs of isoforms Tpm1.7/Tpm1.4 and Tpm4.2/Tpm4.1 were 2.4- and 1.4- fold higher in BC compared with non-BC tissues (p-value = 0.0003, 0.0005, respectively). In urine specimens, the ratio of Tpm4.2/Tpm4.1 was 2.66 times higher in cancer vs controls (p = 0.0031) and achieved 92% sensitivity and 69% specificity for BC detection. TPM isoform switching events are associated with bladder carcinogenesis. Assessment of TPM isoform expression by a non-invasive urine-based qPCR assay shows promise for BC detection and may complement existing diagnostic strategies.

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Journal
Scientific Reports
Published
2026-10-17
DOI
https://doi.org/10.1038/s41598-026-66033-y
Primary Topic
Bladder and Urothelial Cancer Treatments
Type
article
Field-Weighted Citation Impact
0.00

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article

Transcriptomic profiling of tropomyosin isoforms in bladder cancer: multi-platform sequencing and experimental validation

Nada Humayun-Zakaria, Minghao Yu, Anshita Goel, Doug; id_orcid 0000-0002-2328-1445 Ward et al.
Scientific Reports
Bladder and Urothelial Cancer Treatments
article

Transcriptomic profiling of tropomyosin isoforms in bladder cancer: multi-platform sequencing and experimental validation

Nada Humayun-Zakaria, Minghao Yu, Anshita Goel, Doug; id_orcid 0000-0002-2328-1445 Ward, Rik; id_orcid 0000-0003-2853-4293 Bryan, Roland Arnold, Naheema Gordon, Stuart Savill, KK Cheng, Andrew Mason, Nicholas James, Maurice Zeegers
article en

Abstract

mRNA isoform level-based biomarkers are understudied but might complement DNA based approaches. The expression of tropomyosin isoforms differs between normal and cancer cells. Tropomyosin (TPM) isoforms generated by alternative splicing may contribute to Bladder Cancer (BC) biology, but their diagnostic potential has not been defined. We analysed RNAseq data from six independent BC datasets to predict TPM isoform expression. Predictions were validated through targeted long-read sequencing and isoform-specific quantitative PCR (qPCR) in archived tumour tissues (n = 90) and BC cell lines (n = 5). Urine samples from patients with BC (n = 12) and non-cancer controls (n = 16) were assessed for diagnostic performance. The expression ratios of 2 pairs of isoforms Tpm1.7/Tpm1.4 and Tpm4.2/Tpm4.1 were 2.4- and 1.4- fold higher in BC compared with non-BC tissues (p-value = 0.0003, 0.0005, respectively). In urine specimens, the ratio of Tpm4.2/Tpm4.1 was 2.66 times higher in cancer vs controls (p = 0.0031) and achieved 92% sensitivity and 69% specificity for BC detection. TPM isoform switching events are associated with bladder carcinogenesis. Assessment of TPM isoform expression by a non-invasive urine-based qPCR assay shows promise for BC detection and may complement existing diagnostic strategies.

Scientific Reports
Betsi Cadwaladr University Health Board (GB), University Hospitals Birmingham NHS Foundation Trust (GB), Institute of Cancer Research (GB), Maastricht University (NL), Cancer Research UK Clinical Trials Unit (GB), Care and Public Health Research Institute (NL), University of York (GB), University of Birmingham (GB)
Queen Elizabeth Hospital Birmingham Charity, Cancer Research UK
Good health and well-being
Openalex Percentile: Top 32%
Bladder and Urothelial Cancer Treatments
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