Evidence map›Paper›PMID 26317038›Full record

ArticleJournal of biomarkers2015

Biomarkers for Detection and Monitoring of B16 Melanoma in Mouse Urine and Feces.

Aviv Sever, Amir Abd Elkadir, Yosef Matana, Jacob Gopas, Yehuda Zeiri

Open access · hybridAbstract read
In one paragraph

Article in Journal of biomarkers, 2015. 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
0.5field-weighted citation impact, top 32% 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, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Urinary VOCs as biomarkers of early stage lung tumour development in mice.Cancer biomarkers : section A of Disease markers · 2024
    Article
  4. Detection ofMicrobiology spectrum · 2023
    Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. 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

5 authors at 1 institution in 1 country.

Aviv SeverDepartment of Biomedical Engineering, Ben-Gurion University of the Negev, 84105 Beer-Sheva, Israel.
Amir Abd ElkadirDepartment of Biomedical Engineering, Ben-Gurion University of the Negev, 84105 Beer-Sheva, Israel.
Yosef MatanaDepartment of Biomedical Engineering, Ben-Gurion University of the Negev, 84105 Beer-Sheva, Israel.
Jacob GopasThe Shraga Segal Department of Microbiology, Immunology and Genetics, Ben-Gurion University of the Negev, and the Department of Oncology, Soroka University Medical Center, 84105 Beer-Sheva, Israel.
Yehuda ZeiriDepartment of Biomedical Engineering, Ben-Gurion University of the Negev, 84105 Beer-Sheva, Israel ; Division of Chemistry, Nuclear Research Center-Negev, 84190 Beer-Sheva, Israel.
Ben-Gurion University of the Negev · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melanoma is the most malignant type of skin cancer. Early detection of melanoma is thus critical for patient prognosis and survival. At present, examination by a skilled dermatologist followed by biopsy of suspicious lesions is the diagnostic gold standard. The aim of the present study was to examine an alternative and noninvasive method for the diagnosis of melanoma at an early stage. We identified and compared the volatile organic compounds (VOCs) in mouse urine and feces, before and after a subcutaneous injection of B16 melanoma cells. We identified a total of 16 VOCs in urine and 13 VOCs in feces that could serve as potential biomarkers. Statistical analysis significantly discriminated between the cancer and control groups. These results should be validated in a larger-scale animal study, after which a study could be designed in patients to develop a melanoma biomarker.

Identifiers

PMID26317038
PMCPMC4437384
OpenAlexW2058684683

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.