Evidence map›Paper›PMID 28686225›Full record

ArticleProteomes2017

Retrospective Proteomic Screening of 100 Breast Cancer Tissues.

Ida Pucci-Minafra, Gianluca Di Cara, Rosa Musso, Patrizia Cancemi, Nadia Ninfa Albanese, Elena Roz, Salvatore Minafra

Open access · goldAbstract read
In one paragraph

Article in Proteomes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 15 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

7 authors at 2 institutions in 1 country.

Ida Pucci-MinafraCentro di Oncobiologia Sperimentale, University of Palermo, 90146 Palermo, Italy. pucci.ida@gmail.com.
Gianluca Di CaraCentro di Oncobiologia Sperimentale, University of Palermo, 90146 Palermo, Italy. lucadicar@gmail.com.
Rosa MussoCentro di Oncobiologia Sperimentale, University of Palermo, 90146 Palermo, Italy. rosi82.m@libero.it.
Patrizia CancemiCentro di Oncobiologia Sperimentale, University of Palermo, 90146 Palermo, Italy. patrizia.cancemi@unipa.it.
Nadia Ninfa AlbaneseCentro di Oncobiologia Sperimentale, University of Palermo, 90146 Palermo, Italy. nadianinfa.albanese@gmail.com.
Elena RozLa Maddalena Hospital, 90146 Palermo, Italy. roz@lamaddalenanet.it.
Salvatore MinafraCentro di Oncobiologia Sperimentale, University of Palermo, 90146 Palermo, Italy. salvatoreminafra@gmail.com.
University of Palermo · ITLa Maddalena · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present investigation has been conducted on one hundred tissue fragments of breast cancer, collected and immediately cryopreserved following the surgical resection. The specimens were selected from patients with invasive ductal carcinoma of the breast, the most frequent and potentially aggressive type of mammary cancer, with the objective to increase the knowledge of breast cancer molecular markers potentially useful for clinical applications. The proteomic screening; by 2D-IPG and mass spectrometry; allowed us to identify two main classes of protein clusters: proteins expressed ubiquitously at high levels in all patients; and proteins expressed sporadically among the same patients. Within the group of ubiquitous proteins, glycolytic enzymes and proteins with anti-apoptotic activity were predominant. Among the sporadic ones, proteins involved in cell motility, molecular chaperones and proteins involved in the detoxification appeared prevalent. The data of the present study indicates that the primary tumor growth is reasonably supported by concurrent events: the inhibition of apoptosis and stimulation of cellular proliferation, and the increased expression of glycolytic enzymes with multiple functions. The second phase of the evolution of the tumor can be prematurely scheduled by the occasional presence of proteins involved in cell motility and in the defenses of the oxidative stress. We suggest that this approach on large-scale 2D-IPG proteomics of breast cancer is currently a valid tool that offers the opportunity to evaluate on the same assay the presence and recurrence of individual proteins, their isoforms and short forms, to be proposed as prognostic indicators and susceptibility to metastasis in patients operated on for invasive ductal carcinoma of the breast.

Indexed as

breast cancergel-based proteomicsmass spectrometryprotein clusteringsurgical tissues

Identifiers

PMID28686225
PMCPMC5620532
OpenAlexW2608051045

What OpenQuestion holds

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LicenceCC BY
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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.