Evidence map›Paper›PMID 34320944›Full record

ArticleBMC cancer2021

Proteomic analysis identifies deregulated metabolic and oxidative-associated proteins in Italian intrahepatic cholangiocarcinoma patients.

Giuliana Cavalloni, Caterina Peraldo-Neia, Annamaria Massa, Carlo Bergamini, Alessandro Trentini, Giovanni De Rosa, Lorenzo Daniele, Fabiola Ciccosanti, Carlo Cervellati, Francesco Leone and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2021. 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
1.3field-weighted citation impact, top 21% 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.

  1. Article
  2. Toxicity Responses from Tributyltin Chloride on Haarder (Current issues in molecular biology · 2025
    Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Obesity-Associated Colorectal Cancer.International journal of molecular sciences · 2024
    Review
  8. Review
  9. Antioxidant Effect ofAntioxidants (Basel, Switzerland) · 2022
    Article
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

11 authors at 6 institutions in 1 country.

Giuliana Cavalloni *Division of Medical Oncology, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Torino, Italy. giuliana.cavalloni@ircc.it.
Caterina Peraldo-Neia *Cancer Genomics Lab, Fondazione Edo ed Elvo Tempia, Biella, Italy.
Annamaria MassaDivision of Medical Oncology, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Torino, Italy.
Carlo BergaminiDepartment of Chemistry and Pharmaceutical Sciences, University of Ferrara, Ferrara, Italy.
Alessandro TrentiniDepartment of Chemistry and Pharmaceutical Sciences, University of Ferrara, Ferrara, Italy.
Giovanni De RosaPathology Unit, AO Ordine Mauriziano, Torino, Italy.
Lorenzo DanielePathology Unit, AO Ordine Mauriziano, Torino, Italy.
Fabiola CiccosantiDepartment of Epidemiology, Preclinical Research, and Advanced Diagnostics, National Institute for Infectious Diseases, IRCCS 'Lazzaro Spallanzani', Rome, Italy.
Carlo CervellatiDepartment of Morphology, Surgery & Experimental Medicine, University of Ferrara, Ferrara, Italy.
Francesco LeoneDepartment of Oncology, ASL BI, Ospedale degli Infermi di Biella, Ponderano, BI, Italy.
Massimo AgliettaDivision of Medical Oncology, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Torino, Italy.
Candiolo Cancer Institute · ITUniversity of Ferrara · ITA. O. Ordine Mauriziano di Torino · ITFondazione Edo ed Elvo Tempia · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITOspedale degli Infermi · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCholangiocarcinoma (CCA) is an aggressive disease with poor prognosis. A molecular classification based on mutational, methylation and transcriptomic features could allow identifying tailored therapies to improve CCA patient outcome. Proteomic remains partially unexplored; here, we analyzed the proteomic profile of five intrahepatic cholangiocarcinoma (ICC) derived from Italian patients undergone surgery and one normal bile duct cell line.

methodsProteome profile was investigated by using 2D electrophoresis followed by Mass Spectrometry (MS). To validate proteomic data, the expression of four overexpressed proteins (CAT, SOD, PRDX6, DBI/ACBP) was evaluated by immunohistochemistry in an independent cohort of formalin fixed, paraffin-embedded (FFPE) ICC tissues. We also compared proteomic data with those obtained by transcriptomic profile evaluated by microarray analysis of the same tissues.

resultsWe identified 19 differentially expressed protein spots, which were further characterized by MS; 13 of them were up- and 6 were down-regulated in ICC. These proteins are mainly involved in redox processes (CAT, SODM, PRDX2, PRDX6), in metabolism (ACBP, ACY1, UCRI, FTCD, HCMS2), and cell structure and organization (TUB2, ACTB). CAT is overexpressed in 86% of patients, PRDX6 in 73%, SODM in 100%, and DBI/ACBP in 81% compared to normal adjacent tissues. A concordance of 50% between proteomic and transcriptomic data was observed.

conclusionsThis study pointed out that the impairment of the metabolic and antioxidant systems, with a subsequent accumulation of free radicals, might be a key step in CCA development and progression.

Indexed as

Biomarkers, TumorEnergy MetabolismOxidation-ReductionProteomeProteomicsBile Duct NeoplasmsCell Line, TumorCholangiocarcinomaElectrophoresis, Gel, Two-DimensionalGene Expression ProfilingHumansImmunohistochemistryMass SpectrometryBiomarkers, TumorProteomeIntrahepatic cholangiocarcinomaMass spectrometryMetabolismProteomicsROS

Identifiers

PMID34320944
PMCPMC8317365
OpenAlexW3186825002

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.