Evidence map›Paper›PMID 33302400›Full record

ArticleCancers2020

Investigating Serum and Tissue Expression Identified a Cytokine/Chemokine Signature as a Highly Effective Melanoma Marker.

Marco Cesati, Francesca Scatozza, Daniela D'Arcangelo, Gian Carlo Antonini-Cappellini, Stefania Rossi, Claudio Tabolacci, Maurizio Nudo, Enzo Palese, Luigi Lembo, Giovanni Di Lella and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Therapeutic Significance of NLRP3 Inflammasome in Cancer: Friend or Foe?International journal of molecular sciences · 2024
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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 3 institutions in 1 country.

Marco CesatiDepartment of Civil Engineering and Computer Science Engineering, University of Rome Tor Vergata, 00133 Rome, Italy.ORCID 0000-0002-7492-3129
Francesca ScatozzaIstituto Dermopatico dell'Immacolata, IDI-IRCCS, via Monti di Creta 104, 00167 Rome, Italy.
Daniela D'ArcangeloIstituto Dermopatico dell'Immacolata, IDI-IRCCS, via Monti di Creta 104, 00167 Rome, Italy.
Gian Carlo Antonini-CappelliniIstituto Dermopatico dell'Immacolata, IDI-IRCCS, via Monti di Creta 104, 00167 Rome, Italy.
Stefania RossiDepartment of Oncology and Molecular Medicine, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy.
Claudio TabolacciDepartment of Oncology and Molecular Medicine, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy.ORCID 0000-0001-5001-285X
Maurizio NudoIstituto Dermopatico dell'Immacolata, IDI-IRCCS, via Monti di Creta 104, 00167 Rome, Italy.
Enzo PaleseIstituto Dermopatico dell'Immacolata, IDI-IRCCS, via Monti di Creta 104, 00167 Rome, Italy.
Luigi LemboIstituto Dermopatico dell'Immacolata, IDI-IRCCS, via Monti di Creta 104, 00167 Rome, Italy.
Giovanni Di LellaIstituto Dermopatico dell'Immacolata, IDI-IRCCS, via Monti di Creta 104, 00167 Rome, Italy.
Francesco FacchianoDepartment of Oncology and Molecular Medicine, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy.ORCID 0000-0003-4313-0617
Antonio FacchianoIstituto Dermopatico dell'Immacolata, IDI-IRCCS, via Monti di Creta 104, 00167 Rome, Italy.ORCID 0000-0002-4243-2392
Istituto Dermopatico dell'Immacolata · ITIstituto Superiore di Sanità · ITUniversity of Rome Tor Vergata · IT

Funding

Ministero della Salute 2018, 2019, RC to AFMinistero della Salute Programma Oncotecnologico to FF
6 · The paper itself

Abstract

The identification of reliable and quantitative melanoma biomarkers may help an early diagnosis and may directly affect melanoma mortality and morbidity. The aim of the present study was to identify effective biomarkers by investigating the expression of 27 cytokines/chemokines in melanoma compared to healthy controls, both in serum and in tissue samples. Serum samples were from 232 patients recruited at the IDI-IRCCS hospital. Expression was quantified by xMAP technology, on 27 cytokines/chemokines, compared to the control sera. RNA expression data of the same 27 molecules were obtained from 511 melanoma- and healthy-tissue samples, from the GENT2 database. Statistical analysis involved a 3-step approach: analysis of the single-molecules by Mann-Whitney analysis; analysis of paired-molecules by Pearson correlation; and profile analysis by the machine learning algorithm Support Vector Machine (SVM). Single-molecule analysis of serum expression identified IL-1b, IL-6, IP-10, PDGF-BB, and RANTES differently expressed in melanoma (

Indexed as

cytokinesmachine learningmelanoma markersprincipal component analysisSupport Vector Machine

Identifiers

PMID33302400
PMCPMC7762568
OpenAlexW3112140972

What OpenQuestion holds

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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.