Evidence map›Paper›PMID 30480095›Full record

ArticleNPJ precision oncology2018

Superhydrophobic lab-on-chip measures secretome protonation state and provides a personalized risk assessment of sporadic tumour.

N Malara, F Gentile, N Coppedè, M L Coluccio, P Candeloro, G Perozziello, L Ferrara, M Giannetto, M Careri, A Castellini and 29 more

Abstract read
In one paragraph

Article in NPJ precision oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Artificial intelligence for cancer screening and surveillance.ESMO real world data and digital oncology · 2024
    Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Methylglyoxal Adducts Levels in Blood Measured onNanomaterials (Basel, Switzerland) · 2021
    Article
  9. Liquid Biopsy for Cancer Cachexia: Focus on Muscle-Derived microRNAs.International journal of molecular sciences · 2021
    Review
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. The paradigm of stem cell secretome in tissue repair and regeneration: Present and future perspectives.Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society
    Review
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

39 authors.

N Malara1Department of Experimental and Clinical Medicine, University Magna Graecia, 88100 Catanzaro, Italy.ORCID 0000-0002-1719-293X
F Gentile2Department of Electrical Engineering and Information Technology, University Federico II, 80125 Naples, Italy.
N Coppedè3Institute of Materials for Electronics and Magnetism IMEM CNR Parco Area delle Scienze, 43124 Parma, Italy.ORCID 0000-0001-5715-4236
M L Coluccio1Department of Experimental and Clinical Medicine, University Magna Graecia, 88100 Catanzaro, Italy.ORCID 0000-0002-9987-2348
P Candeloro1Department of Experimental and Clinical Medicine, University Magna Graecia, 88100 Catanzaro, Italy.
G Perozziello1Department of Experimental and Clinical Medicine, University Magna Graecia, 88100 Catanzaro, Italy.
L Ferrara4Centre of Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, Austria.
M Giannetto5Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area delle Scienze 17/A, 43124 Parma, Italy.
M Careri5Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area delle Scienze 17/A, 43124 Parma, Italy.
A Castellini3Institute of Materials for Electronics and Magnetism IMEM CNR Parco Area delle Scienze, 43124 Parma, Italy.
C Mignogna6Department of Health Science, University Magna Graecia, 88100 Catanzaro, Italy.ORCID 0000-0001-5576-4946
I Presta6Department of Health Science, University Magna Graecia, 88100 Catanzaro, Italy.
C K Pirrone6Department of Health Science, University Magna Graecia, 88100 Catanzaro, Italy.
D Maisano6Department of Health Science, University Magna Graecia, 88100 Catanzaro, Italy.
A Donato6Department of Health Science, University Magna Graecia, 88100 Catanzaro, Italy.
G Donato6Department of Health Science, University Magna Graecia, 88100 Catanzaro, Italy.
M Greco6Department of Health Science, University Magna Graecia, 88100 Catanzaro, Italy.
D Scumaci1Department of Experimental and Clinical Medicine, University Magna Graecia, 88100 Catanzaro, Italy.
G Cuda1Department of Experimental and Clinical Medicine, University Magna Graecia, 88100 Catanzaro, Italy.ORCID 0000-0001-6313-1866
F Casale6Department of Health Science, University Magna Graecia, 88100 Catanzaro, Italy.
E Ferraro7Department of Clinical and Biological Sciences, University of Torino, Torino, Italy.
S Bonacci6Department of Health Science, University Magna Graecia, 88100 Catanzaro, Italy.
V Trunzo6Department of Health Science, University Magna Graecia, 88100 Catanzaro, Italy.
V Mollace6Department of Health Science, University Magna Graecia, 88100 Catanzaro, Italy.
V Onesto1Department of Experimental and Clinical Medicine, University Magna Graecia, 88100 Catanzaro, Italy.ORCID 0000-0002-2308-4126
R Majewska8School of Biological Sciences, North-West University, Potchefstroom, 2520 South Africa.
F Amato1Department of Experimental and Clinical Medicine, University Magna Graecia, 88100 Catanzaro, Italy.
M Renne9Department of Surgical and Medical Science University Magna Graecia, 88100 Catanzaro, Italy.
N Innaro9Department of Surgical and Medical Science University Magna Graecia, 88100 Catanzaro, Italy.
G Sena9Department of Surgical and Medical Science University Magna Graecia, 88100 Catanzaro, Italy.ORCID 0000-0001-9793-3250
R Sacco9Department of Surgical and Medical Science University Magna Graecia, 88100 Catanzaro, Italy.
F Givigliano9Department of Surgical and Medical Science University Magna Graecia, 88100 Catanzaro, Italy.
C Voci9Department of Surgical and Medical Science University Magna Graecia, 88100 Catanzaro, Italy.
G Volpentesta9Department of Surgical and Medical Science University Magna Graecia, 88100 Catanzaro, Italy.
G Guzzi9Department of Surgical and Medical Science University Magna Graecia, 88100 Catanzaro, Italy.
A Lavano9Department of Surgical and Medical Science University Magna Graecia, 88100 Catanzaro, Italy.
E Scali6Department of Health Science, University Magna Graecia, 88100 Catanzaro, Italy.
U Bottoni6Department of Health Science, University Magna Graecia, 88100 Catanzaro, Italy.
E Di Fabrizio10Physical Science & Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900 Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Secretome of primary cultures is an accessible source of biological markers compared to more complex and less decipherable mixtures such as serum or plasma. The protonation state (PS) of secretome reflects the metabolism of cells and can be used for cancer early detection. Here, we demonstrate a superhydrophobic organic electrochemical device that measures PS in a drop of secretome derived from liquid biopsies. Using data from the sensor and principal component analysis (PCA), we developed algorithms able to efficiently discriminate tumour patients from non-tumour patients. We then validated the results using mass spectrometry and biochemical analysis of samples. For the 36 patients across three independent cohorts, the method identified tumour patients with high sensitivity and identification as high as 100% (no false positives) with declared subjects at-risk, for sporadic cancer onset, by intermediate values of PS. This assay could impact on cancer risk management, individual's diagnosis and/or help clarify risk in healthy populations.

Identifiers

PMID30480095
PMCPMC6242957

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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.