Evidence map›Paper›PMID 25667934›Full record

ArticleBioMed research international2015

Translationally controlled tumor protein in prostatic adenocarcinoma: correlation with tumor grading and treatment-related changes.

Bruno Jim Rocca, Alessandro Ginori, Aurora Barone, Calogera Calandra, Filippo Crivelli, Giulia De Falco, Sara Gazaneo, Sergio Tripodi, Gabriele Cevenini, Maria Teresa del Vecchio and 2 more

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2015. 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
1.2field-weighted citation impact, top 20% 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, 9 citations in OpenAlex.

  1. Review
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  4. Granulysin, a novel marker for extranodal NK/T cell lymphoma, nasal type.Virchows Archiv : an international journal of pathology · 2018
    Article
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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

12 authors at 4 institutions in 2 countries.

Bruno Jim RoccaSection of Pathology, Department of Medical Biotechnology, University of Siena, Via delle Scotte 6, 53100 Siena, Italy ; Section of Pathology, Ospedale di Circolo di Busto Arsizio, Presidio Ospedaliero di Saronno, Piazzale Borella 1, 21047 Saronno, Italy.
Alessandro GinoriSection of Pathology, Department of Medical Biotechnology, University of Siena, Via delle Scotte 6, 53100 Siena, Italy.
Aurora BaroneSection of Pathology, Department of Medical Biotechnology, University of Siena, Via delle Scotte 6, 53100 Siena, Italy.
Calogera CalandraSection of Pathology, Ospedale di Circolo di Busto Arsizio, Presidio Ospedaliero di Saronno, Piazzale Borella 1, 21047 Saronno, Italy.
Filippo CrivelliSection of Pathology, Ospedale di Circolo di Busto Arsizio, Presidio Ospedaliero di Saronno, Piazzale Borella 1, 21047 Saronno, Italy.
Giulia De FalcoSection of Pathology, Department of Medical Biotechnology, University of Siena, Via delle Scotte 6, 53100 Siena, Italy ; School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, E14NS London, UK.
Sara GazaneoSection of Pathology, Department of Medical Biotechnology, University of Siena, Via delle Scotte 6, 53100 Siena, Italy.
Sergio TripodiSection of Pathology, Azienda Ospedaliera Universitaria Senese, Viale Bracci 16, 53100 Siena, Italy.
Gabriele CeveniniSection of Pathology, Department of Medical Biotechnology, University of Siena, Via delle Scotte 6, 53100 Siena, Italy.
Maria Teresa del VecchioDepartment of Medicine, Science and Neurosciences, University of Siena, Via delle Scotte 6, 53100 Siena, Italy.
Maria Raffaella AmbrosioSection of Pathology, Department of Medical Biotechnology, University of Siena, Via delle Scotte 6, 53100 Siena, Italy.
Piero TosiSection of Pathology, Department of Medical Biotechnology, University of Siena, Via delle Scotte 6, 53100 Siena, Italy.
University of Siena · ITPresidio Ospedaliero · ITAzienda Ospedaliera Universitaria Senese · ITQueen Mary University of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer is the second leading cause of cancer-related death. The androgen deprivation therapy is the standard treatment for advanced stages. Unfortunately, virtually all tumors become resistant to androgen withdrawal. The progression to castration-resistance is not fully understood, although a recent paper has suggested translationally controlled tumor protein to be implicated in the process. The present study was designed to investigate the role of this protein in prostate cancer, focusing on the correlation between its expression level with tumor differentiation and response to treatment. We retrieved 292 prostatic cancer specimens; of these 153 had been treated only by radical prostatectomy and 139 had undergone radical prostatectomy after neoadjuvant treatment with combined androgen blockade therapy. Non-neoplastic controls were represented by 102 prostatic peripheral zone specimens. In untreated patients, the expression of the protein, evaluated by RT-qPCR and immunohistochemistry, was significantly higher in tumor specimens than in non-neoplastic control, increasing as Gleason pattern and score progressed. In treated prostates, the staining was correlated with the response to treatment. An association between protein expression and the main clinicopathological factors involved in prostate cancer aggressiveness was identified. These findings suggest that the protein may be a promising prognostic factor and a target for therapy.

Indexed as

AdenocarcinomaAgedAndrogensBiomarkers, TumorDisease ProgressionHumansImmunohistochemistryMaleMiddle AgedNeoadjuvant TherapyNeoplasm GradingProstatectomyProstatic NeoplasmsTumor Protein, Translationally-Controlled 1AndrogensBiomarkers, TumorTumor Protein, Translationally-Controlled 1

Identifiers

PMID25667934
PMCPMC4312572
OpenAlexW2049068872

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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.