Tumour tissue‐derived small extracellular vesicles reflect molecular subtypes of bladder cancer

Author:

Dong Liang12ORCID,Feng Mingxiao2ORCID,Kuczler Morgan D.2,Horie Kengo23,Kim Chi‐Ju2,Ma Zehua1,Lombardo Kara2,Lyons Heather2,Amend Sarah R.2,Kates Max2,Bivalacqua Trinity J.4,McConkey David2,Xue Wei1,Choi Woonyoung2,Pienta Kenneth J.2

Affiliation:

1. Department of Urology Renji Hospital, Shanghai Jiao Tong University School of Medicine Shanghai China

2. The Brady Urological Institute Johns Hopkins University School of Medicine Baltimore Maryland USA

3. Department of Urology Gifu University Graduate School of Medicine Gifu Japan

4. Division of Urology Perelman School of Medicine at the University of Pennsylvania Philadelphia Pennsylvania USA

Abstract

AbstractmRNA‐based molecular subtypes have implications for bladder cancer prognosis and clinical benefit from certain therapies. Whether small extracellular vesicles (sEVs) can reflect bladder cancer molecular subtypes is unknown. We performed whole transcriptome RNA sequencing for formalin fixed paraffin embedded (FFPE) tumour tissues and sEVs separated from matched tissue explants, urine and plasma in patients with bladder cancer. sEVs were separated using size‐exclusion chromatography, and characterized by transmission electron microscopy, nano flow cytometry and western blots, respectively. High yield of sEVs were obtained using approximately 1 g of tissue, incubated with media for 30 min. FFPE tumour tissue and tumour tissue‐derived sEVs demonstrated good concordance in molecular subtype classification. All urinary sEVs were classified as luminal subtype, while all plasma sEVs were classified as Ba/Sq subtype, regardless of the molecular subtypes indicated by their matched FFPE tumour tissue. The comparison within urine sEVs, which may exclude the sample type specific background, could pick up the different biology between NMIBC and MIBC, as well as the signature genes related to molecular subtypes. Four candidate sEV‐related bladder cancer‐specific mRNA biomarkers, FAM71E2, OR4K5, FAM138F and KRTAP26‐1, were identified by analysing matched urine sEVs, tumour tissue derived sEVs, and adjacent normal tissue derived sEVs. Compared to sEVs separated from biofluids, tissue‐derived sEVs may reflect more tissue‐ or disease‐specific biological features. Urine sEVs are promising biomarkers to be used for liquid biopsy‐based molecular subtype classification, but the current algorithm needs to be modified/adjusted. Future work is needed to validate the four new bladder cancer‐specific biomarkers in large cohorts.

Funder

National Natural Science Foundation of China

Innovative Research Team of High-level Local University in Shanghai

Japan Society for the Promotion of Science

Publisher

Wiley

Subject

Cell Biology,Histology

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