Evidence map›Paper›PMID 28545426›Full record

ArticleBMC cancer2017

Insulin-like growth factor 1 receptor affects the survival of primary prostate cancer patients depending on TMPRSS2-ERG status.

Caterina Mancarella, Irene Casanova-Salas, Ana Calatrava, Maria García-Flores, Cecilia Garofalo, Andrea Grilli, José Rubio-Briones, Katia Scotlandi, José Antonio López-Guerrero

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
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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

9 authors at 2 institutions in 2 countries.

Caterina MancarellaCRS Development of Biomolecular Therapies, Experimental Oncology Laboratory, Rizzoli Orthopedic Institute, via di Barbiano, 1/10, 40136, Bologna, Italy.
Irene Casanova-SalasLaboratory of Molecular Biology, Fundación Instituto Valenciano de Oncología, C/ Prof. Beltrán Báguena, 8, 46009, Valencia, Spain.
Ana CalatravaDepartment of Pathology, Fundación Instituto Valenciano de Oncología, C/ Prof. Beltrán Báguena, 8, 46009, Valencia, Spain.
Maria García-FloresLaboratory of Molecular Biology, Fundación Instituto Valenciano de Oncología, C/ Prof. Beltrán Báguena, 8, 46009, Valencia, Spain.
Cecilia GarofaloCRS Development of Biomolecular Therapies, Experimental Oncology Laboratory, Rizzoli Orthopedic Institute, via di Barbiano, 1/10, 40136, Bologna, Italy.
Andrea GrilliCRS Development of Biomolecular Therapies, Experimental Oncology Laboratory, Rizzoli Orthopedic Institute, via di Barbiano, 1/10, 40136, Bologna, Italy.
José Rubio-BrionesDepartment of Urology, Fundación Instituto Valenciano de Oncología, C/ Prof. Beltrán Báguena, 8, 46009, Valencia, Spain.
Katia ScotlandiCRS Development of Biomolecular Therapies, Experimental Oncology Laboratory, Rizzoli Orthopedic Institute, via di Barbiano, 1/10, 40136, Bologna, Italy. katia.scotlandi@ior.it.
José Antonio López-GuerreroLaboratory of Molecular Biology, Fundación Instituto Valenciano de Oncología, C/ Prof. Beltrán Báguena, 8, 46009, Valencia, Spain. jalopez@fivo.org.
Fundación Instituto Valenciano de Oncología · ESIstituto Ortopedico Rizzoli · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProstate cancer (PCa) is characterized by clinical and biological heterogeneity and has differential outcomes and mortality rates. Therefore, it is necessary to identify molecular alterations to define new therapeutic strategies based on the risk of progression. In this study, the prognostic relevance of the insulin-like growth factor (IGF) system was examined in molecular subtypes defined by TMPRSS2-ERG (T2E) gene fusion within a series of patients with primary localized PCa.

methodsA cohort of 270 formalin-fixed and paraffin-embedded (FFPE) primary PCa samples from patients with more than 5 years' follow-up was collected. IGF-1R, IGF-1, IGFBP-3 and INSR expression was analyzed using quantitative RT-PCR. The T2E status and immunohistochemical ERG findings were considered in the analyses. The association with both biochemical and clinical progression-free survival (BPFS and PFS, respectively) was evaluated for the different molecular subtypes using the Kaplan-Meier proportional risk log-rank test and the Cox proportional hazards model.

resultsAn association between IGF-1R overexpression and better BPFS was found in T2E-negative patients (35.3% BPFS, p-value = 0.016). Multivariate analysis demonstrated that IGF-1R expression constitutes an independent variable in T2E-negative patients [HR: 0.41. CI 95% (0.2-0.82), p = 0.013]. These data were confirmed using immunohistochemistry of ERG as subrogate of T2E. High IGF-1 expression correlated with prolonged BPFS and PFS independent of the T2E status.

conclusionsIGF-1R, a reported target of T2E, constitutes an independent factor for good prognosis in T2E-negative PCa. Quantitative evaluation of IGF-1/IGF-1R expression combined with molecular assessment of T2E status or ERG protein expression represents a useful marker for tumor progression in localized PCa.

Indexed as

Oncogene Proteins, FusionAgedBiomarkers, TumorDisease-Free SurvivalDisease ProgressionHumansMaleMiddle AgedProstatic NeoplasmsReceptor, IGF Type 1Receptors, SomatomedinSerine EndopeptidasesTranscriptional Regulator ERGBiomarkers, TumorERG protein, humanIGF1R protein, humanOncogene Proteins, FusionReceptor, IGF Type 1Receptors, SomatomedinSerine EndopeptidasesTMPRSS2 protein, humanTranscriptional Regulator ERGInsulin-like growth factor 1 receptorMolecular biotypesPrognosisProstate cancerTMPRSS2-ERG

Identifiers

PMID28545426
PMCPMC5445474
OpenAlexW2617214021

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.