Evidence map›Paper›PMID 27713912›Full record

ArticleOncoscience2016

Targeted proteomic approach in prostatic tissue: a panel of potential biomarkers for cancer detection.

Donatella Aiello, Francesca Casadonte, Rosa Terracciano, Rocco Damiano, Rocco Savino, Giovanni Sindona, Anna Napoli

Open access · diamondAbstract read
In one paragraph

Article in Oncoscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 39 citations in OpenAlex.

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  6. Prostate cancer in omics era.Cancer cell international · 2022
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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

7 authors at 2 institutions in 1 country.

Donatella Aiello *Department of Chemistry and Chemical Technologies, University of Calabria, Italy.
Francesca Casadonte *Department of Health Sciences, Magna Græcia University of Catanzaro, Catanzaro, Italy.
Rosa TerraccianoDepartment of Health Sciences, Magna Græcia University of Catanzaro, Catanzaro, Italy.
Rocco DamianoDepartment of Health Sciences, Magna Græcia University of Catanzaro, Catanzaro, Italy.
Rocco SavinoDepartment of Health Sciences, Magna Græcia University of Catanzaro, Catanzaro, Italy.
Giovanni SindonaDepartment of Chemistry and Chemical Technologies, University of Calabria, Italy.
Anna NapoliDepartment of Chemistry and Chemical Technologies, University of Calabria, Italy.
Magna Graecia University · ITUniversity of Calabria · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PCa) is the sixth highest causes of cancer-related deaths in men. The molecular events underlying its behavior and evolution are not completely understood. Prostate-specific antigen (PSA) is the only approved Food and Drug Administration biomarker. A panel of ten stage-specific tumoral and adjacent non tumoral tissues from patients affected by PCa (Gleason score 6, 3+3; PSA 10 ÷19 ng/ml) was investigated by MS-based proteomics approach. The proposed method was based on identifying the base-soluble proteins from tissue, established an efficient study, which lead to a deeper molecular perspective understanding of the PCa. A total of 164 proteins were found and 132 of these were evaluated differentially expressed in tumoral tissues. The Ingenuity Pathway Analysis (IPA) showed that among all dataset obtained, 105 molecules were involved in epithelial neoplasia with a p-value of 3.62E-05, whereas, only 11 molecules detected were ascribed to sentinel tissue and bodily fluids.

Indexed as

biomarkerbodily fluidsmetabolic pathwayPCa tissueproteome

Identifiers

PMID27713912
PMCPMC5043072
OpenAlexW2575226837

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.