Evidence map›Paper›PMID 27802451›Full record

ArticleBritish journal of cancer2016

MicroRNA 193b-3p as a predictive biomarker of chronic kidney disease in patients undergoing radical nephrectomy for renal cell carcinoma.

Francesco Trevisani, Michele Ghidini, Alessandro Larcher, Andrea Lampis, Hazel Lote, Paolo Manunta, Maria Teresa Sciarrone Alibrandi, Laura Zagato, Lorena Citterio, Giacomo Dell'Antonio and 14 more

Open access · hybridAbstract readValidation Study
In one paragraph

Article in British journal of cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 15% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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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

24 authors at 8 institutions in 3 countries.

Francesco TrevisaniDivision of Molecular Pathology, The Institute of Cancer Research, London, UK.
Michele GhidiniDivision of Molecular Pathology, The Institute of Cancer Research, London, UK.
Alessandro LarcherDepartment of Urology, San Raffaele Scientific Institute, Milan, Italy.
Andrea LampisDivision of Molecular Pathology, The Institute of Cancer Research, London, UK.
Hazel LoteDivision of Molecular Pathology, The Institute of Cancer Research, London, UK.
Paolo ManuntaDivision of Nephrology and Dialysis, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Maria Teresa Sciarrone AlibrandiDivision of Nephrology and Dialysis, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Laura ZagatoGenomics of Renal Disease and Hypertension Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Lorena CitterioGenomics of Renal Disease and Hypertension Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Giacomo Dell'AntonioDepartment of Pathology, San Raffaele Scientific Institute, Milan, Italy.
Cristina CarenziDepartment of Urology, San Raffaele Scientific Institute, Milan, Italy.
Giovambattista CapassoDepartment of Nephrology, Second University of Naples, Naples, Italy.
Massimo RuggeDepartment of Medicine, Surgical Pathology & Cytopathology Unit, University of Padua, Padua, Italy.
Paolo RigottiDepartment of Surgical, Oncological and Gastroenterological Sciences, Kidney and Pancreas Transplantation Unit, University of Padua, Padua, Italy.
Roberto BertiniDepartment of Urology, San Raffaele Scientific Institute, Milan, Italy.
Luciano CascioneBioinformatics Core Unit, Institute of Oncology Research, Bellinzona, Switzerland.
Alberto BrigantiDepartment of Urology, San Raffaele Scientific Institute, Milan, Italy.
Andrea SaloniaDepartment of Urology, San Raffaele Scientific Institute, Milan, Italy.
Fabio BenigniDepartment of Urology, San Raffaele Scientific Institute, Milan, Italy.
Chiara BraconiDivision of Cancer Therapeutics, The Institute of Cancer Research, London, UK.
Matteo FassanDepartment of Medicine, Surgical Pathology & Cytopathology Unit, University of Padua, Padua, Italy.
Jens Claus HahneDivision of Molecular Pathology, The Institute of Cancer Research, London, UK.
Francesco MontorsiDepartment of Urology, San Raffaele Scientific Institute, Milan, Italy.
Nicola ValeriDivision of Molecular Pathology, The Institute of Cancer Research, London, UK.
San Raffaele University of Rome · ITInstitute of Cancer Research · GBUniversity of Padua · ITVita-Salute San Raffaele University · ITInstitute of Oncology Research · CHIstituti di Ricovero e Cura a Carattere Scientifico · ITIstituto di Ricovero e Cura a Carattere Scientifico San RaffaeleUniversity of Campania "Luigi Vanvitelli" · IT

Funding

Cancer Research UK 18052
6 · The paper itself

Abstract

backgroundA significant proportion of patients undergoing radical nephrectomy (RN) for clear-cell renal cell carcinoma (RCC) develop chronic kidney disease (CKD) within a few years following surgery. Chronic kidney disease has important health, social and economic impact and no predictive biomarkers are currently available. MicroRNAs (miRs) are small non-coding RNAs implicated in several pathological processes.

methodsPrimary objective of our study was to define miRs whose deregulation is predictive of CKD in patients treated with RN. Ribonucleic acid from formalin-fixed paraffin embedded renal parenchyma (cortex and medulla isolated separately) situated >3 cm from the matching RCC was tested for miR expression using nCounter NanoString technology in 71 consecutive patients treated with RN for RCC. Validation was performed by RT-PCR and in situ hybridisation. End point was post-RN CKD measured 12 months post-operatively. Multivariable logistic regression and decision curve analysis were used to test the statistical and clinical impact of predictors of CKD.

resultsThe overexpression of miR-193b-3p was associated with high risk of developing CKD in patients undergoing RN for RCC and emerged as an independent predictor of CKD. The addition of miR-193b-3p to a predictive model based on clinical variables (including sex and estimated glomerular filtration rate) increased the sensitivity of the predictive model from 81 to 88%. In situ hybridisation showed that miR-193b-3p overexpression was associated with tubule-interstitial inflammation and fibrosis in patients with no clinical or biochemical evidence of pre-RN nephropathy.

conclusionsmiR-193b-3p might represent a useful biomarker to tailor and implement surveillance strategies for patients at high risk of developing CKD following RN.

Indexed as

Biomarkers, TumorCarcinoma, Renal CellGlomerular Filtration RateHumansKidney NeoplasmsMicroRNAsNephrectomyBiomarkers, TumorMicroRNAsMIRN193 microRNA, human

Identifiers

PMID27802451
PMCPMC5129818
OpenAlexW2546808789

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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.