Evidence map›Paper›PMID 25884309›Full record

ArticleBMC cancer2015

Plasma clusterin as a candidate pre-diagnosis marker of colorectal cancer risk in the Florence cohort of the European Prospective Investigation into Cancer and Nutrition: a pilot study.

Michela Bertuzzi, Cristina Marelli, Renzo Bagnati, Alessandro Colombi, Roberto Fanelli, Calogero Saieva, Marco Ceroti, Benedetta Bendinelli, Saverio Caini, Luisa Airoldi and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Clusterin Expression in Colorectal Carcinomas.International journal of molecular sciences · 2023
    Review
  5. Review
  6. Article
  7. Apolipoproteins and cancer.Cancer medicine · 2019
    Review
  8. Article
  9. Article
  10. Detection and Identification of Serum Peptides Biomarker in Papillary Thyroid Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2018
    Article
  11. Article
  12. Review
  13. Review
  14. Diagnostic and prognostic significance of secretory clusterin expression in patients with hepatocellular carcinoma.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
  15. 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 2 institutions in 1 country.

Michela BertuzziDepartment of Environmental Health Sciences, IRCCS-Istituto di Ricerche Farmacologiche Mario Negri, Via Giuseppe La Masa 19, 20156, Milano, Italy. michela.bertuzzi@teletu.it.
Cristina MarelliDepartment of Environmental Health Sciences, IRCCS-Istituto di Ricerche Farmacologiche Mario Negri, Via Giuseppe La Masa 19, 20156, Milano, Italy. cristina_marelli@yahoo.it.
Renzo BagnatiDepartment of Environmental Health Sciences, IRCCS-Istituto di Ricerche Farmacologiche Mario Negri, Via Giuseppe La Masa 19, 20156, Milano, Italy. renzo.bagnati@marionegri.it.
Alessandro ColombiDepartment of Environmental Health Sciences, IRCCS-Istituto di Ricerche Farmacologiche Mario Negri, Via Giuseppe La Masa 19, 20156, Milano, Italy. co02ale@yahoo.it.
Roberto FanelliDepartment of Environmental Health Sciences, IRCCS-Istituto di Ricerche Farmacologiche Mario Negri, Via Giuseppe La Masa 19, 20156, Milano, Italy. 1roberto.fanelli@marionegri.it.
Calogero SaievaMolecular and Nutritional Epidemiology Unit, ISPO - Cancer Research and Prevention Institute, Florence, Italy. c.saieva@ispo.toscana.it.
Marco CerotiMolecular and Nutritional Epidemiology Unit, ISPO - Cancer Research and Prevention Institute, Florence, Italy. m.ceroti@ispo.toscana.it.
Benedetta BendinelliMolecular and Nutritional Epidemiology Unit, ISPO - Cancer Research and Prevention Institute, Florence, Italy. b.bendinelli@ispo.toscana.it.
Saverio CainiMolecular and Nutritional Epidemiology Unit, ISPO - Cancer Research and Prevention Institute, Florence, Italy. s.caini@ispo.toscana.it.
Luisa AiroldiDepartment of Environmental Health Sciences, IRCCS-Istituto di Ricerche Farmacologiche Mario Negri, Via Giuseppe La Masa 19, 20156, Milano, Italy. luisa.airoldi@marionegri.it.
Domenico PalliMolecular and Nutritional Epidemiology Unit, ISPO - Cancer Research and Prevention Institute, Florence, Italy. d.palli@ispo.toscana.it.
Mario Negri Institute for Pharmacological Research · ITPiedmont Reference Center for Epidemiology and Cancer Prevention · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal cancer is one of the major causes of cancer mortality world-wide. Prevention would improve if at-risk subjects could be identified. The aim of this study was to characterise plasma protein biomarkers associated with the risk of colorectal cancer in samples collected prospectively, before the disease diagnosis.

methodsAfter an exploratory study on the comprehensive plasma proteome analysis by liquid chromatography-tandem mass spectrometry from ten colorectal cancer cases enrolled at diagnosis, and ten matched controls (Phase 1), a similar preliminary study was performed on prospective plasma samples from ten colorectal cancer cases, enrolled years before disease development, and ten matched controls identified in a nested case-control study within the Florence cohort of the European Prospective Investigation into Cancer and Nutrition (EPIC) study (Phase 2); in Phase 3 the validation of the candidate biomarkers by targeted proteomics on 48 colorectal cancer cases and 48 matched controls from the Florence-EPIC cohort, and the evaluation of the disease risk were performed.

resultsSystems biology tools indicated that both in the Phase 1 and Phase 2 studies circulating protein levels differing in cases more than 1.5 times from controls, were involved in inflammation and/or immune response. Eight proteins including apolipoprotein C-II, complement C4-B, complement component C9, clusterin, alpha-2-HS-glycoprotein, mannan-binding lectin serine-protease, mannose-binding protein C, and N-acetylmuramoyl-L-alanine amidase were selected as promising candidate biomarkers. Targeted proteomics of the selected proteins in the EPIC samples showed significantly higher clusterin levels in cases than controls, but only in men (mean ± SD, 1.98 ± 0.46 and 1.61 ± 0.43 nmol/mL respectively, Mann-Whitney U, two-tailed P = 0.0173). The remaining proteins were unchanged. Using multivariate logistic models a significant positive association emerged for clusterin, with an 80% increase in the colorectal cancer risk with protein's unit increase, but only in men.

conclusionsThe results show that plasma proteins can be altered years before colorectal cancer detection. The high circulating clusterin in pre-diagnostic samples suggests this biomarker can improve the identification of people at risk of colorectal cancer and might help in designing preventive interventions.

Indexed as

AgedBiomarkers, TumorCase-Control StudiesClusterinColorectal NeoplasmsFemaleHumansItalyMaleMass SpectrometryMiddle AgedPilot ProjectsProspective StudiesProteomeProteomicsRisk FactorsBiomarkers, TumorCLU protein, humanClusterinProteome

Identifiers

PMID25884309
PMCPMC4334607
OpenAlexW2067365659

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.