Evidence map›Paper›PMID 32303246›Full record

ArticleJournal of experimental & clinical cancer research : CR2020

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.

Manuela Spagnuolo, Manuela Costantini, Mariaconsiglia Ferriero, Marco Varmi, Isabella Sperduti, Giulia Regazzo, Lucia Cicchillitti, Ana Belén Díaz Méndez, Giovanni Cigliana, Vincenzo Pompeo and 12 more

Open access · goldAbstract read
In one paragraph

Article in Journal of experimental & clinical cancer research : CR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 25 citations in OpenAlex.

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  18. [miR-let-7c-5p inhibits invasion and migration of bladder cancer cells by targeting HMGA2].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors at 2 institutions in 2 countries.

Manuela SpagnuoloDepartment 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 CostantiniDepartment of Experimental Clinical Oncology, Urology Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.
Mariaconsiglia FerrieroDepartment of Experimental Clinical Oncology, Urology Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.
Marco VarmiDepartment 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 SperdutiBiostatistical Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.
Giulia RegazzoDepartment 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 CicchillittiDepartment of Experimental Clinical Oncology, Gynecologic Oncology Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.
Ana Belén Díaz MéndezDepartment 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 CiglianaDepartment of Research, Advanced Diagnostics and Technological Innovation, Clinical Pathology Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.
Vincenzo PompeoDepartment of Experimental Clinical Oncology, Urology Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.
Andrea RussoDepartment of Research, Advanced Diagnostics and Technological Innovation, Pathology Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.
Valentina LaquintanaDepartment of Research, Advanced Diagnostics and Technological Innovation, Pathology Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.
Riccardo MastroianniDepartment of Experimental Clinical Oncology, Urology Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.
Giulia PiaggioDepartment 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 AnceschiDepartment of Experimental Clinical Oncology, Urology Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.
Aldo BrassettiDepartment of Experimental Clinical Oncology, Urology Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.
Alfredo BoveDepartment of Experimental Clinical Oncology, Urology Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.
Gabriele TudertiDepartment of Experimental Clinical Oncology, Urology Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.
Rocco Simone FlammiaDepartment of Experimental Clinical Oncology, Urology Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.
Michele GallucciDepartment of Experimental Clinical Oncology, Urology Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy.
Giuseppe SimoneDepartment of Experimental Clinical Oncology, Urology Unit, IRCCS Regina Elena National Cancer Institute, Via Chianesi 53, 00144, Rome, Italy. giuseppe.simone@ifo.gov.it.
Maria Giulia RizzoDepartment 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.
Istituti di Ricovero e Cura a Carattere Scientifico · ITNational Cancer Institute · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh 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).

methodsQuantitative 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.

resultsUrinary 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%.

conclusionsUrinary let-7c cluster evaluation may improve prognosis, identifying patients at risk of progression and addressing early radical treatment.

Indexed as

AgedBiomarkers, TumorDisease ProgressionFemaleHumansMaleMicroRNAsNeoplasm GradingPilot ProjectsProgression-Free SurvivalUrinary Bladder NeoplasmsBiomarkers, TumorMicroRNAsmirnlet7 microRNA, humanLet-7c cluster, urinary biomarkers, progression free survivalmicroRNANon-muscle-invasive bladder cancer

Identifiers

PMID32303246
PMCPMC7164295
OpenAlexW3016341670

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.