Urinary expression of let-7c cluster as non-invasive tool to assess the risk of disease progression in patients with high grade non-muscle invasive bladder Cancer: a pilot study.


Journal

Journal of experimental & clinical cancer research : CR
ISSN: 1756-9966
Titre abrégé: J Exp Clin Cancer Res
Pays: England
ID NLM: 8308647

Informations de publication

Date de publication:
17 Apr 2020
Historique:
received: 04 01 2020
accepted: 19 02 2020
entrez: 19 4 2020
pubmed: 19 4 2020
medline: 22 1 2021
Statut: epublish

Résumé

High grade non-muscle-invasive bladder cancer (HG-NMIBC) is a heterogeneous disease with variable risk of progression. Urinary microRNAs are promising biomarkers for BC detection and surveillance. Let-7c-5p miRNA, clustered with miR-99a-5p and -125b-5p, is deregulated in cancer, including BC. The aim of this study is to evaluate urinary let-7c cluster expression in Ta/T1 HG-NMIBC patients and its impact on progression-free survival (PFS). Quantitative Real-Time-Polymerase-Chain-Reaction (qRT-PCR) was used to analyze the let-7c cluster expression in 57 urine and 49 neoplastic paired tissue samples prospectively collected from transurethral resection (TUR) HG-NMIBC patients. Twenty urine and 10 bladder tissue samples were collected and analyzed as normal controls. QRT-PCR was also used to detect intra-/extra-cellular let-7c cluster in BC cells. Receiver Operating Characteristic (ROC) curves were used to identify urinary miRNAs cut-off values predicting T-stage and PFS. Uni/multivariable Cox regression was performed to identify predictors of PFS. A nomogram predicting progression risk and a decision curve analysis (DCA) were performed. Urinary let-7c was significantly up-regulated in patients compared with controls, while the whole cluster was down-regulated in tumor tissues. Supporting these findings, in vitro comparison of extra-/intra-cellular ratios of cluster levels between BC cells, showed a higher ratio for let-7c in HG-NMIBC versus low-grade cells. Urinary let-7c cluster expression was increased in higher T-stage and was an independent predictor of progression. Lower EORTC-score and downregulation of urinary cluster were predictors of higher PFS on univariable Cox regression, while on multivariable analysis only cluster expression was an independent progression predictor. On DCA, a benefit was evident for patients with a PFS probability > 20%. Urinary let-7c cluster evaluation may improve prognosis, identifying patients at risk of progression and addressing early radical treatment.

Sections du résumé

BACKGROUND BACKGROUND
High grade non-muscle-invasive bladder cancer (HG-NMIBC) is a heterogeneous disease with variable risk of progression. Urinary microRNAs are promising biomarkers for BC detection and surveillance. Let-7c-5p miRNA, clustered with miR-99a-5p and -125b-5p, is deregulated in cancer, including BC. The aim of this study is to evaluate urinary let-7c cluster expression in Ta/T1 HG-NMIBC patients and its impact on progression-free survival (PFS).
METHODS METHODS
Quantitative Real-Time-Polymerase-Chain-Reaction (qRT-PCR) was used to analyze the let-7c cluster expression in 57 urine and 49 neoplastic paired tissue samples prospectively collected from transurethral resection (TUR) HG-NMIBC patients. Twenty urine and 10 bladder tissue samples were collected and analyzed as normal controls. QRT-PCR was also used to detect intra-/extra-cellular let-7c cluster in BC cells. Receiver Operating Characteristic (ROC) curves were used to identify urinary miRNAs cut-off values predicting T-stage and PFS. Uni/multivariable Cox regression was performed to identify predictors of PFS. A nomogram predicting progression risk and a decision curve analysis (DCA) were performed.
RESULTS RESULTS
Urinary let-7c was significantly up-regulated in patients compared with controls, while the whole cluster was down-regulated in tumor tissues. Supporting these findings, in vitro comparison of extra-/intra-cellular ratios of cluster levels between BC cells, showed a higher ratio for let-7c in HG-NMIBC versus low-grade cells. Urinary let-7c cluster expression was increased in higher T-stage and was an independent predictor of progression. Lower EORTC-score and downregulation of urinary cluster were predictors of higher PFS on univariable Cox regression, while on multivariable analysis only cluster expression was an independent progression predictor. On DCA, a benefit was evident for patients with a PFS probability > 20%.
CONCLUSIONS CONCLUSIONS
Urinary let-7c cluster evaluation may improve prognosis, identifying patients at risk of progression and addressing early radical treatment.

Identifiants

pubmed: 32303246
doi: 10.1186/s13046-020-01550-w
pii: 10.1186/s13046-020-01550-w
pmc: PMC7164295
doi:

Substances chimiques

Biomarkers, Tumor 0
MicroRNAs 0
mirnlet7 microRNA, human 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

68

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Auteurs

Manuela Spagnuolo (M)

Department of Research, Advanced Diagnostics and Technological Innovation, Genomic and Epigenetic Unit, Translational Research Area, IRCCS Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144, Rome, Italy.

Manuela Costantini (M)

Department of Experimental Clinical Oncology, Urology Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.

Mariaconsiglia Ferriero (M)

Department of Experimental Clinical Oncology, Urology Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.

Marco Varmi (M)

Department of Research, Advanced Diagnostics and Technological Innovation, Genomic and Epigenetic Unit, Translational Research Area, IRCCS Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144, Rome, Italy.

Isabella Sperduti (I)

Biostatistical Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.

Giulia Regazzo (G)

Department of Research, Advanced Diagnostics and Technological Innovation, Genomic and Epigenetic Unit, Translational Research Area, IRCCS Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144, Rome, Italy.

Lucia Cicchillitti (L)

Department of Experimental Clinical Oncology, Gynecologic Oncology Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.

Ana Belén Díaz Méndez (AB)

Department of Research, Advanced Diagnostics and Technological Innovation, Genomic and Epigenetic Unit, Translational Research Area, IRCCS Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144, Rome, Italy.

Giovanni Cigliana (G)

Department of Research, Advanced Diagnostics and Technological Innovation, Clinical Pathology Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.

Vincenzo Pompeo (V)

Department of Experimental Clinical Oncology, Urology Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.

Andrea Russo (A)

Department of Research, Advanced Diagnostics and Technological Innovation, Pathology Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.

Valentina Laquintana (V)

Department of Research, Advanced Diagnostics and Technological Innovation, Pathology Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.

Riccardo Mastroianni (R)

Department of Experimental Clinical Oncology, Urology Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.

Giulia Piaggio (G)

Department of Research, Advanced Diagnostics and Technological Innovation, SAFU Unit, Translational Research Area, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.

Umberto Anceschi (U)

Department of Experimental Clinical Oncology, Urology Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.

Aldo Brassetti (A)

Department of Experimental Clinical Oncology, Urology Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.

Alfredo Bove (A)

Department of Experimental Clinical Oncology, Urology Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.

Gabriele Tuderti (G)

Department of Experimental Clinical Oncology, Urology Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.

Rocco Simone Flammia (RS)

Department of Experimental Clinical Oncology, Urology Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.

Michele Gallucci (M)

Department of Experimental Clinical Oncology, Urology Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.
Department of Urology, "Sapienza" University, Rome, Italy.

Giuseppe Simone (G)

Department of Experimental Clinical Oncology, Urology Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy. giuseppe.simone@ifo.gov.it.
Department of Clinical and Experimental Oncology, IRCCS Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144, Rome, Italy. giuseppe.simone@ifo.gov.it.

Maria Giulia Rizzo (MG)

Department of Research, Advanced Diagnostics and Technological Innovation, Genomic and Epigenetic Unit, Translational Research Area, IRCCS Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144, Rome, Italy. maria.rizzo@ifo.gov.it.

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