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dc.contributor.authorSong, Yee Pei
dc.contributor.authorElumalai, Thiraviyam
dc.contributor.authorMistry, Hitesh
dc.contributor.authorReeves, Kimberley
dc.contributor.authorLane, Brian
dc.contributor.authorDubec, Michael
dc.contributor.authorJackson, S.
dc.contributor.authorWest, Catharine M L
dc.contributor.authorHoskin, Peter J
dc.contributor.authorChoudhury, Ananya
dc.contributor.authorMcWilliam, Alan
dc.date.accessioned2022-01-11T11:59:36Z
dc.date.available2022-01-11T11:59:36Z
dc.date.issued2021en
dc.identifier.citationSong YP, Elumalai T, Mistry H, Reeves K, Lane B, Dubec M, et al. Exploring the association between radiomics and gene expression in bladder cancer: a pilot study. Radiotherapy and Oncology. 2021;161:S1640-S1.en
dc.identifier.urihttp://hdl.handle.net/10541/624826
dc.description.abstractPurpose or Objective A third of patients with bladder cancer present with advanced disease, requiring aggressive treatments. A curative treatment option is trimodality bladder preserving therapy, comprising trans-urethral resection of bladder tumour (TURBT), radical radiotherapy and radiosensitiser. Previous studies have shown that the West-24 gene signature is both prognostic and predictive of survival outcomes following bladder preservation with hypoxia modification. Imaging biomarkers have the potential for non-invasive assessment of tumour biology while allowing assessment of whole tumours. To date, there have been no published studies on the association between radiomic biomarkers and gene expression in bladder cancer. Materials and Methods 10 patients treated radically with concurrent chemoradiotherapy for histologically confirmed muscle-invasive bladder cancer (MIBC) were included. Whole transcriptome sequencing using Clarion S transcriptomics was carried out on tumour samples from pre-treatment TURBT. West-24 signature score and expression of individual genes making up the gene signature were evaluated. MRI scans were carried out at 4 timepoints during treatment on 1.5T Aera Siemans scanner. 3D T2 sequences were obtained. The tumour bed and whole bladder wall were contoured by two independent observers on Raystation 7R. 93 features were extracted from the bladder wall and tumour bed using pyRadiomics. Next, unsupervised feature selection removed features with low intraclass correlation coefficient (ICC) between the two observers and between bladder wall and tumour. Unsupervised feature selection removed volume-correlated and redundant features, using Spearman’s rank correlation coefficient. Remaining features were analysed with gene expression using Pearson correlation. Due to small sample size, multiple hypothesis testing was not performed. Results 19 of 93 features demonstrated a high ICC and remained after feature reduction. Levels of expression of 8 of these 19 features differed between tumour bed and bladder wall with no overlap of interquartile range. Expression of Gray Level Variance (GLV) had a strong correlations (R>0.7) with West-24 gene signature score (R=0.73) and expression of 4 individual genes: COL5A1 (R=0.76), ITGA5 (R=0.73), TGFB1 (R=0.87) and PDLIM2 (0.73). The distribution of GLV was greater in tumour bed than bladder wall (Fig 1). While Large Area High Gray Level Emphasis (LAHGLE) correlated with SLC16A1 expression (R=0.71), the interquartile range of distribution of this feature in tumour bed and bladder wall overlaps and hence is unlikely to reflect differences in tumour biology.Conclusion This pilot study identified a potential radiomic feature as a surrogate for gene expression, thereby allowing a non-invasive method of assessing for prognostic and predictive biomarkers. Further validation in a larger cohort would be worthwhile.en
dc.language.isoenen
dc.titleExploring the association between radiomics and gene expression in bladder cancer: a pilot studyen
dc.typeMeetings and Proceedingsen
dc.contributor.departmentThe Christie Hospital NHS Trust, Clinical Oncology, Manchesteren
dc.identifier.journalRadiotherapy and Oncologyen
dc.description.noteen]


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