Validation of a microRNA profile in urine liquid biopsy with diagnostic and stratification value for bladder cancer classification, available through the open app BladdermiRaCan

We aimed to identify a profile of urine microRNAs (miRNAs) with diagnostic and stratification potential in the whole range of bladder cancer (BC) categories, to avoid current invasive, harmful and expensive procedures. We collected a first morning urine sample from the screening (35 BC patients and...

Full description

Saved in:
Bibliographic Details
Published inExperimental hematology & oncology Vol. 14; no. 1; pp. 58 - 6
Main Authors Oto, Julia, Herranz, Raquel, Plana, Emma, Pérez-Ardavín, Javier, Hervás, David, Cana, Fernando, Verger, Patricia, Ramos-Soler, David, Martínez-Sarmiento, Manuel, Vera-Donoso, César D., Medina, Pilar
Format Journal Article
LanguageEnglish
Published England BioMed Central Ltd 11.04.2025
BMC
Subjects
Online AccessGet full text

Cover

Loading…
Abstract We aimed to identify a profile of urine microRNAs (miRNAs) with diagnostic and stratification potential in the whole range of bladder cancer (BC) categories, to avoid current invasive, harmful and expensive procedures. We collected a first morning urine sample from the screening (35 BC patients and 15 age- and gender-matched controls) and validation cohorts (172 BC and 94 controls). In the screening stage we analyzed the expression level of 179 miRNAs by real-time reverse transcription quantitative PCR in urine supernatants. miRNA levels in each sample were normalized by the levels of the previously identified and stably expressed miR-29c-3p. We performed an ordinal regression for each miRNA with False Discovery Rate (FDR) adjustment to identify dysregulated miRNAs, and an ordinal elastic net logistic regression model to identify a miRNA profile for BC diagnosis and stratification with the software R (v3.5.1). Next, we validated the most dysregulated miRNAs, and empirically identified the real miRNA targets in BC cells by miR-eCLIP immunoprecipitation and sequencing. We identified 70 dysregulated miRNAs in BC patients ( p < 0.05 FDR-adjusted). With the expression level of 7 miRNAs in urine (miR-221-3p, miR-93-5p, miR-362-3p, miR-191-5p, miR-200c-3p, miR-192-5p, miR-21-5p) we could stratify BC patients and control subjects. To enable the global use of our model, we developed the free BladdermiRaCan online tool. Furthermore, we identified miR-21-5p, miR-425-5p and miR-99a-5p as follow-up markers for BC relapse, and miR-21-5p and miR-221-3p as markers for metastasis. These miRNAs were also dysregulated in BC tissue sections from a subgroup of patients from which urine samples were studied. In conclusion, we have validated and patented a 7-miRNAs urine profile able to diagnose and stratify BC patients; BladdermiRaCan will enable the global use of our model. The experimentally verified target proteins identified for these miRNAs may unravel novel therapeutic targets.
AbstractList We aimed to identify a profile of urine microRNAs (miRNAs) with diagnostic and stratification potential in the whole range of bladder cancer (BC) categories, to avoid current invasive, harmful and expensive procedures. We collected a first morning urine sample from the screening (35 BC patients and 15 age- and gender-matched controls) and validation cohorts (172 BC and 94 controls). In the screening stage we analyzed the expression level of 179 miRNAs by real-time reverse transcription quantitative PCR in urine supernatants. miRNA levels in each sample were normalized by the levels of the previously identified and stably expressed miR-29c-3p. We performed an ordinal regression for each miRNA with False Discovery Rate (FDR) adjustment to identify dysregulated miRNAs, and an ordinal elastic net logistic regression model to identify a miRNA profile for BC diagnosis and stratification with the software R (v3.5.1). Next, we validated the most dysregulated miRNAs, and empirically identified the real miRNA targets in BC cells by miR-eCLIP immunoprecipitation and sequencing. We identified 70 dysregulated miRNAs in BC patients (p < 0.05 FDR-adjusted). With the expression level of 7 miRNAs in urine (miR-221-3p, miR-93-5p, miR-362-3p, miR-191-5p, miR-200c-3p, miR-192-5p, miR-21-5p) we could stratify BC patients and control subjects. To enable the global use of our model, we developed the free BladdermiRaCan online tool. Furthermore, we identified miR-21-5p, miR-425-5p and miR-99a-5p as follow-up markers for BC relapse, and miR-21-5p and miR-221-3p as markers for metastasis. These miRNAs were also dysregulated in BC tissue sections from a subgroup of patients from which urine samples were studied. In conclusion, we have validated and patented a 7-miRNAs urine profile able to diagnose and stratify BC patients; BladdermiRaCan will enable the global use of our model. The experimentally verified target proteins identified for these miRNAs may unravel novel therapeutic targets.
We aimed to identify a profile of urine microRNAs (miRNAs) with diagnostic and stratification potential in the whole range of bladder cancer (BC) categories, to avoid current invasive, harmful and expensive procedures. We collected a first morning urine sample from the screening (35 BC patients and 15 age- and gender-matched controls) and validation cohorts (172 BC and 94 controls). In the screening stage we analyzed the expression level of 179 miRNAs by real-time reverse transcription quantitative PCR in urine supernatants. miRNA levels in each sample were normalized by the levels of the previously identified and stably expressed miR-29c-3p. We performed an ordinal regression for each miRNA with False Discovery Rate (FDR) adjustment to identify dysregulated miRNAs, and an ordinal elastic net logistic regression model to identify a miRNA profile for BC diagnosis and stratification with the software R (v3.5.1). Next, we validated the most dysregulated miRNAs, and empirically identified the real miRNA targets in BC cells by miR-eCLIP immunoprecipitation and sequencing. We identified 70 dysregulated miRNAs in BC patients (p < 0.05 FDR-adjusted). With the expression level of 7 miRNAs in urine (miR-221-3p, miR-93-5p, miR-362-3p, miR-191-5p, miR-200c-3p, miR-192-5p, miR-21-5p) we could stratify BC patients and control subjects. To enable the global use of our model, we developed the free BladdermiRaCan online tool. Furthermore, we identified miR-21-5p, miR-425-5p and miR-99a-5p as follow-up markers for BC relapse, and miR-21-5p and miR-221-3p as markers for metastasis. These miRNAs were also dysregulated in BC tissue sections from a subgroup of patients from which urine samples were studied. In conclusion, we have validated and patented a 7-miRNAs urine profile able to diagnose and stratify BC patients; BladdermiRaCan will enable the global use of our model. The experimentally verified target proteins identified for these miRNAs may unravel novel therapeutic targets.We aimed to identify a profile of urine microRNAs (miRNAs) with diagnostic and stratification potential in the whole range of bladder cancer (BC) categories, to avoid current invasive, harmful and expensive procedures. We collected a first morning urine sample from the screening (35 BC patients and 15 age- and gender-matched controls) and validation cohorts (172 BC and 94 controls). In the screening stage we analyzed the expression level of 179 miRNAs by real-time reverse transcription quantitative PCR in urine supernatants. miRNA levels in each sample were normalized by the levels of the previously identified and stably expressed miR-29c-3p. We performed an ordinal regression for each miRNA with False Discovery Rate (FDR) adjustment to identify dysregulated miRNAs, and an ordinal elastic net logistic regression model to identify a miRNA profile for BC diagnosis and stratification with the software R (v3.5.1). Next, we validated the most dysregulated miRNAs, and empirically identified the real miRNA targets in BC cells by miR-eCLIP immunoprecipitation and sequencing. We identified 70 dysregulated miRNAs in BC patients (p < 0.05 FDR-adjusted). With the expression level of 7 miRNAs in urine (miR-221-3p, miR-93-5p, miR-362-3p, miR-191-5p, miR-200c-3p, miR-192-5p, miR-21-5p) we could stratify BC patients and control subjects. To enable the global use of our model, we developed the free BladdermiRaCan online tool. Furthermore, we identified miR-21-5p, miR-425-5p and miR-99a-5p as follow-up markers for BC relapse, and miR-21-5p and miR-221-3p as markers for metastasis. These miRNAs were also dysregulated in BC tissue sections from a subgroup of patients from which urine samples were studied. In conclusion, we have validated and patented a 7-miRNAs urine profile able to diagnose and stratify BC patients; BladdermiRaCan will enable the global use of our model. The experimentally verified target proteins identified for these miRNAs may unravel novel therapeutic targets.
Abstract We aimed to identify a profile of urine microRNAs (miRNAs) with diagnostic and stratification potential in the whole range of bladder cancer (BC) categories, to avoid current invasive, harmful and expensive procedures. We collected a first morning urine sample from the screening (35 BC patients and 15 age- and gender-matched controls) and validation cohorts (172 BC and 94 controls). In the screening stage we analyzed the expression level of 179 miRNAs by real-time reverse transcription quantitative PCR in urine supernatants. miRNA levels in each sample were normalized by the levels of the previously identified and stably expressed miR-29c-3p. We performed an ordinal regression for each miRNA with False Discovery Rate (FDR) adjustment to identify dysregulated miRNAs, and an ordinal elastic net logistic regression model to identify a miRNA profile for BC diagnosis and stratification with the software R (v3.5.1). Next, we validated the most dysregulated miRNAs, and empirically identified the real miRNA targets in BC cells by miR-eCLIP immunoprecipitation and sequencing. We identified 70 dysregulated miRNAs in BC patients (p < 0.05 FDR-adjusted). With the expression level of 7 miRNAs in urine (miR-221-3p, miR-93-5p, miR-362-3p, miR-191-5p, miR-200c-3p, miR-192-5p, miR-21-5p) we could stratify BC patients and control subjects. To enable the global use of our model, we developed the free BladdermiRaCan online tool. Furthermore, we identified miR-21-5p, miR-425-5p and miR-99a-5p as follow-up markers for BC relapse, and miR-21-5p and miR-221-3p as markers for metastasis. These miRNAs were also dysregulated in BC tissue sections from a subgroup of patients from which urine samples were studied. In conclusion, we have validated and patented a 7-miRNAs urine profile able to diagnose and stratify BC patients; BladdermiRaCan will enable the global use of our model. The experimentally verified target proteins identified for these miRNAs may unravel novel therapeutic targets.
We aimed to identify a profile of urine microRNAs (miRNAs) with diagnostic and stratification potential in the whole range of bladder cancer (BC) categories, to avoid current invasive, harmful and expensive procedures. We collected a first morning urine sample from the screening (35 BC patients and 15 age- and gender-matched controls) and validation cohorts (172 BC and 94 controls). In the screening stage we analyzed the expression level of 179 miRNAs by real-time reverse transcription quantitative PCR in urine supernatants. miRNA levels in each sample were normalized by the levels of the previously identified and stably expressed miR-29c-3p. We performed an ordinal regression for each miRNA with False Discovery Rate (FDR) adjustment to identify dysregulated miRNAs, and an ordinal elastic net logistic regression model to identify a miRNA profile for BC diagnosis and stratification with the software R (v3.5.1). Next, we validated the most dysregulated miRNAs, and empirically identified the real miRNA targets in BC cells by miR-eCLIP immunoprecipitation and sequencing. We identified 70 dysregulated miRNAs in BC patients (p < 0.05 FDR-adjusted). With the expression level of 7 miRNAs in urine (miR-221-3p, miR-93-5p, miR-362-3p, miR-191-5p, miR-200c-3p, miR-192-5p, miR-21-5p) we could stratify BC patients and control subjects. To enable the global use of our model, we developed the free BladdermiRaCan online tool. Furthermore, we identified miR-21-5p, miR-425-5p and miR-99a-5p as follow-up markers for BC relapse, and miR-21-5p and miR-221-3p as markers for metastasis. These miRNAs were also dysregulated in BC tissue sections from a subgroup of patients from which urine samples were studied. In conclusion, we have validated and patented a 7-miRNAs urine profile able to diagnose and stratify BC patients; BladdermiRaCan will enable the global use of our model. The experimentally verified target proteins identified for these miRNAs may unravel novel therapeutic targets. Keywords: Biomarker, BladdermiRaCan, Bladder cancer, Diagnosis, miR-eCLIP Immunoprecipitation, Liquid biopsy, microRNA, Prognosis, Stratification, Urine
ArticleNumber 58
Audience Academic
Author Plana, Emma
Ramos-Soler, David
Pérez-Ardavín, Javier
Vera-Donoso, César D.
Medina, Pilar
Martínez-Sarmiento, Manuel
Hervás, David
Verger, Patricia
Herranz, Raquel
Oto, Julia
Cana, Fernando
Author_xml – sequence: 1
  givenname: Julia
  surname: Oto
  fullname: Oto, Julia
– sequence: 2
  givenname: Raquel
  surname: Herranz
  fullname: Herranz, Raquel
– sequence: 3
  givenname: Emma
  surname: Plana
  fullname: Plana, Emma
– sequence: 4
  givenname: Javier
  surname: Pérez-Ardavín
  fullname: Pérez-Ardavín, Javier
– sequence: 5
  givenname: David
  surname: Hervás
  fullname: Hervás, David
– sequence: 6
  givenname: Fernando
  surname: Cana
  fullname: Cana, Fernando
– sequence: 7
  givenname: Patricia
  surname: Verger
  fullname: Verger, Patricia
– sequence: 8
  givenname: David
  surname: Ramos-Soler
  fullname: Ramos-Soler, David
– sequence: 9
  givenname: Manuel
  surname: Martínez-Sarmiento
  fullname: Martínez-Sarmiento, Manuel
– sequence: 10
  givenname: César D.
  surname: Vera-Donoso
  fullname: Vera-Donoso, César D.
– sequence: 11
  givenname: Pilar
  surname: Medina
  fullname: Medina, Pilar
BackLink https://www.ncbi.nlm.nih.gov/pubmed/40217499$$D View this record in MEDLINE/PubMed
BookMark eNptkttq3DAQhk1JadI0L9CLIiiUXtSpDrZsX25CD4HQQmh7K0anXQWt5Eh2Sh6rb1htnC4JVLoYIb75pZn5X1YHIQZTVa8JPiWk5x9zgwlvakzbGmPeDDV-Vh1RwmnNOBkOHp0Pq5Ocr3FZnPKedC-qwwZT0jXDcFT9-QXeaZhcDChaBGjrVIpX31ZoTNE6b5ALaE4uGOTdzew0ki6O-Q79dtMGaQfrEPPkFIKgUZ5SUbJOLXq34GeDbExIetDaJKQgqF3wkPOe-4DgFpwHWR6bNinO602JBsXRBATjiM6W7K27gnMIr6rnFnw2Jw_xuPr5-dOP86_15fcvF-ery1o1vJnqRjPNJNFGE9xpZqnh0mJFOk46a0nTMQvayL7FFIAoxTsLrRyM6ZjEWlN2XF0sujrCtRiT20K6ExGcuL-IaS0glcq9EbRpFW5byrntG2YGKVvCcNsbBkpzIEXr_aJVmnozmzyJrcvKeA_BxDkLRvqBtD2lvKBvF3QNRdkFG0tT1Q4Xq561BenbvlCn_6HK1qYMsDhlN7qnCe8eJWwM-GmTo593A8hPwTcPX53l1uh94f8sUwC6AMUnOSdj9wjBYmdNsVhTFGuKe2sKzP4CXAzW7A
Cites_doi 10.1007/s40291-013-0023-x
10.7150/jca.28989
10.1016/j.eururo.2014.01.006
10.3390/biomedicines10112766
10.3390/cancers13061448
10.3390/ijms21113814
10.18632/oncotarget.24473
10.18632/oncotarget.25057
10.1038/bjc.2015.472
10.3390/cancers12113133
10.18632/oncotarget.15315
10.1186/s40364-021-00278-9
10.1186/s12943-015-0466-2
10.1158/1055-9965.EPI-18-0884
10.3322/caac.21660
ContentType Journal Article
Copyright 2025. The Author(s).
COPYRIGHT 2025 BioMed Central Ltd.
Copyright_xml – notice: 2025. The Author(s).
– notice: COPYRIGHT 2025 BioMed Central Ltd.
DBID AAYXX
CITATION
NPM
7X8
DOA
DOI 10.1186/s40164-025-00649-0
DatabaseName CrossRef
PubMed
MEDLINE - Academic
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
PubMed
MEDLINE - Academic
DatabaseTitleList
MEDLINE - Academic
CrossRef
PubMed



Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
EISSN 2162-3619
EndPage 6
ExternalDocumentID oai_doaj_org_article_245c055266f843e9bb513058e3acd6a1
A835226858
40217499
10_1186_s40164_025_00649_0
Genre Letter
Correspondence
GeographicLocations Spain
GeographicLocations_xml – name: Spain
GrantInformation_xml – fundername: Instituto de Salud Carlos III
  grantid: FORT23/00021
– fundername: Instituto de Salud Carlos III
  grantid: FI21/00171
GroupedDBID 0R~
53G
5VS
7X7
8FI
8FJ
AAFWJ
AAJSJ
AASML
AAYXX
ABDBF
ABUWG
ACGFS
ACUHS
ADBBV
ADRAZ
ADUKV
AFKRA
AFPKN
AHBYD
AHYZX
ALIPV
ALMA_UNASSIGNED_HOLDINGS
AMKLP
AOIJS
BCNDV
BENPR
BFQNJ
BMC
BPHCQ
BVXVI
C6C
CCPQU
CITATION
EBLON
EBS
FYUFA
GROUPED_DOAJ
HMCUK
HYE
IAO
IHR
IHW
ITC
KQ8
M~E
OK1
PGMZT
PHGZM
PHGZT
PIMPY
PQQKQ
PROAC
RBZ
ROL
RPM
RSV
SMD
SOJ
UKHRP
NPM
PMFND
7X8
PUEGO
ID FETCH-LOGICAL-c464t-4d3d3b1ded107d3f2e6bf0c17617ff1473fadeb8502aa1cc67fa5b9ee73b0dd23
IEDL.DBID DOA
ISSN 2162-3619
IngestDate Wed Aug 27 01:27:38 EDT 2025
Wed Jul 02 05:01:53 EDT 2025
Tue Jun 17 21:59:09 EDT 2025
Tue Jun 10 20:57:26 EDT 2025
Thu May 22 21:23:00 EDT 2025
Mon Apr 14 01:53:15 EDT 2025
Tue Jul 01 05:13:47 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 1
Keywords Urine
Biomarker
Prognosis
BladdermiRaCan
Liquid biopsy
microRNA
Diagnosis
Stratification
Bladder cancer
miR-eCLIP Immunoprecipitation
Language English
License 2025. The Author(s).
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c464t-4d3d3b1ded107d3f2e6bf0c17617ff1473fadeb8502aa1cc67fa5b9ee73b0dd23
Notes content type line 23
SourceType-Scholarly Journals-1
ObjectType-Correspondence-1
OpenAccessLink https://doaj.org/article/245c055266f843e9bb513058e3acd6a1
PMID 40217499
PQID 3189158226
PQPubID 23479
PageCount 6
ParticipantIDs doaj_primary_oai_doaj_org_article_245c055266f843e9bb513058e3acd6a1
proquest_miscellaneous_3189158226
gale_infotracmisc_A835226858
gale_infotracacademiconefile_A835226858
gale_healthsolutions_A835226858
pubmed_primary_40217499
crossref_primary_10_1186_s40164_025_00649_0
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2025-04-11
PublicationDateYYYYMMDD 2025-04-11
PublicationDate_xml – month: 04
  year: 2025
  text: 2025-04-11
  day: 11
PublicationDecade 2020
PublicationPlace England
PublicationPlace_xml – name: England
PublicationTitle Experimental hematology & oncology
PublicationTitleAlternate Exp Hematol Oncol
PublicationYear 2025
Publisher BioMed Central Ltd
BMC
Publisher_xml – name: BioMed Central Ltd
– name: BMC
References H Sung (649_CR1) 2021; 71
Y Cai (649_CR14) 2021; 9
J Lian (649_CR11) 2018; 9
B Pardini (649_CR16) 2018; 9
S Goodison (649_CR4) 2013; 17
AM Grimaldi (649_CR8) 2022; 10
I Cavallari (649_CR9) 2020; 12
N Sapre (649_CR12) 2016; 114
Y Feng (649_CR6) 2019; 2019
DA Armstrong (649_CR15) 2015; 14
CZ Zhu (649_CR3) 2019; 10
RS Svatek (649_CR2) 2014; 66
M Ingelmo-Torres (649_CR10) 2017; 8
AS Andrew (649_CR7) 2019; 28
R Herranz (649_CR5) 2021; 13
K Erdmann (649_CR13) 2020; 21
References_xml – volume: 17
  start-page: 71
  year: 2013
  ident: 649_CR4
  publication-title: Mol Diagn Ther
  doi: 10.1007/s40291-013-0023-x
– volume: 10
  start-page: 4038
  year: 2019
  ident: 649_CR3
  publication-title: J Cancer
  doi: 10.7150/jca.28989
– volume: 66
  start-page: 253
  year: 2014
  ident: 649_CR2
  publication-title: Eur Urol
  doi: 10.1016/j.eururo.2014.01.006
– volume: 10
  start-page: 2766
  year: 2022
  ident: 649_CR8
  publication-title: Biomedicines
  doi: 10.3390/biomedicines10112766
– volume: 13
  start-page: 1448
  year: 2021
  ident: 649_CR5
  publication-title: Cancers (Basel)
  doi: 10.3390/cancers13061448
– volume: 21
  start-page: 3814
  year: 2020
  ident: 649_CR13
  publication-title: Int J Mol Sci
  doi: 10.3390/ijms21113814
– volume: 9
  start-page: 14895
  year: 2018
  ident: 649_CR11
  publication-title: Oncotarget
  doi: 10.18632/oncotarget.24473
– volume: 9
  start-page: 20658
  year: 2018
  ident: 649_CR16
  publication-title: Oncotarget
  doi: 10.18632/oncotarget.25057
– volume: 2019
  start-page: 1
  year: 2019
  ident: 649_CR6
  publication-title: J Oncol
– volume: 114
  start-page: 454
  year: 2016
  ident: 649_CR12
  publication-title: Br J Cancer
  doi: 10.1038/bjc.2015.472
– volume: 12
  start-page: 3133
  year: 2020
  ident: 649_CR9
  publication-title: Cancers (Basel)
  doi: 10.3390/cancers12113133
– volume: 8
  start-page: 18238
  year: 2017
  ident: 649_CR10
  publication-title: Oncotarget
  doi: 10.18632/oncotarget.15315
– volume: 9
  start-page: 27
  year: 2021
  ident: 649_CR14
  publication-title: Biomark Res
  doi: 10.1186/s40364-021-00278-9
– volume: 14
  start-page: 194
  year: 2015
  ident: 649_CR15
  publication-title: Mol Cancer
  doi: 10.1186/s12943-015-0466-2
– volume: 28
  start-page: 782
  year: 2019
  ident: 649_CR7
  publication-title: Cancer Epidemiol Biomarkers Prev
  doi: 10.1158/1055-9965.EPI-18-0884
– volume: 71
  start-page: 209
  year: 2021
  ident: 649_CR1
  publication-title: CA Cancer J Clin
  doi: 10.3322/caac.21660
SSID ssj0000626817
Score 2.3153224
Snippet We aimed to identify a profile of urine microRNAs (miRNAs) with diagnostic and stratification potential in the whole range of bladder cancer (BC) categories,...
Abstract We aimed to identify a profile of urine microRNAs (miRNAs) with diagnostic and stratification potential in the whole range of bladder cancer (BC)...
SourceID doaj
proquest
gale
pubmed
crossref
SourceType Open Website
Aggregation Database
Index Database
StartPage 58
SubjectTerms Analysis
Biomarker
Bladder cancer
BladdermiRaCan
Diagnosis
Genetic aspects
Health aspects
Liquid biopsy
MicroRNA
miR-eCLIP Immunoprecipitation
Urine
Title Validation of a microRNA profile in urine liquid biopsy with diagnostic and stratification value for bladder cancer classification, available through the open app BladdermiRaCan
URI https://www.ncbi.nlm.nih.gov/pubmed/40217499
https://www.proquest.com/docview/3189158226
https://doaj.org/article/245c055266f843e9bb513058e3acd6a1
Volume 14
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3di9NAEF_0BPFF_LZ61hEEHzRckv3I5rE97jgKV6R60rdlNzsLgV5ar63gn-V_6H6k5aoPvvi0kJ2EbObrN5vZGULeU1eXFrnNdGVpxozATGusM82tcbLWTR4DxcupuLhikzmf32r1FXLCUnng9OFOSsabnHPvR5xkFGtjuDe7XCLVjRU6Bj7e590KppINLoUsqt0pGSlO1iwUk8pC99bghussP_BEsWD_32b5D7AZnc75I_KwR4swSm_5mNzB7gm5f9n_D39Kfn3zMDp1RYKlAw3XIb9uNh1B34sb2g7CfjrCov2-bS2Ydrla_4Sw_Qo2pdn5Z4PuLKQKuq7fxINQBhzBY1owi2CebqAJEuKHALj3dJ9A_9DtIpzAgr7pjx8RQlsu0KsVjNPd1-1Mn-ruGbk6P_t6epH1TRiyhgm2yZillprCovWBoqWuRGFc3hSVhz7OFayiTls0kuel1kXTiMppbmrEiprc2pI-J0fdssOXBGqB2iDlznHLnMdRgmFJnSmllegYH5CPO4aoVaq1oWKMIoVK7FOefSqyT-UDMg4821OGOtnxgpce1UuP-pf0DMjbwHGVDp3utV2NEjCVXA7Ih0gR9N2zodH9sQW_pMDGA8rjA0qvp83B9LudVKkwFZLbOlxu18qb1brgHqmJAXmRxG2_KhZjxrp-9T9W-5o8KKMCsKwojsnR5maLbzym2pghuVvNqyG5NxpNvkz8OD6bfp4No1L9BjfoJCI
linkProvider Directory of Open Access Journals
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Validation+of+a+microRNA+profile+in+urine+liquid+biopsy+with+diagnostic+and+stratification+value+for+bladder+cancer+classification%2C+available+through+the+open+app+BladdermiRaCan&rft.jtitle=Experimental+hematology+%26+oncology&rft.au=Oto%2C+Julia&rft.au=Herranz%2C+Raquel&rft.au=Plana%2C+Emma&rft.au=P%C3%A9rez-Ardav%C3%ADn%2C+Javier&rft.date=2025-04-11&rft.pub=BioMed+Central+Ltd&rft.issn=2162-3619&rft.eissn=2162-3619&rft.volume=14&rft.issue=1&rft_id=info:doi/10.1186%2Fs40164-025-00649-0&rft.externalDocID=A835226858
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2162-3619&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2162-3619&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2162-3619&client=summon