Evidence map›Paper›PMID 29108362›Full record

ArticleOncotarget2017

Baseline relative eosinophil count as a predictive biomarker for ipilimumab treatment in advanced melanoma.

Pier Francesco Ferrucci, Sara Gandini, Emilia Cocorocchio, Laura Pala, Federica Baldini, Massimo Mosconi, Gian Carlo Antonini Cappellini, Elena Albertazzi, Chiara Martinoli

Abstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Eosinophils in solid cancers: sentinels, predictors, and therapeutic allies.Journal of experimental & clinical cancer research : CR · 2026
    Review
  3. Dynamic blood-based biomarkers predict early response to ipilimumab and nivolumab in advanced melanoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  4. Article
  5. Review
  6. Review
  7. The causal relationships of granulocytes and melanoma skin cancer: A univariable and multivariable Mendelian randomization study.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Eosinophilia in cancer and its regulation by sex hormones.Trends in endocrinology and metabolism: TEM · 2023
    Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. 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

9 authors.

Pier Francesco FerrucciMedical Oncology of Melanoma Unit, Division of Medical Oncology of Melanoma and Sarcoma, European Institute of Oncology, Milan, Italy.
Sara GandiniDivision of Epidemiology and Biostatistics, European Institute of Oncology, Milan, Italy.
Emilia CocorocchioMedical Oncology of Melanoma Unit, Division of Medical Oncology of Melanoma and Sarcoma, European Institute of Oncology, Milan, Italy.
Laura PalaMedical Oncology of Melanoma Unit, Division of Medical Oncology of Melanoma and Sarcoma, European Institute of Oncology, Milan, Italy.
Federica BaldiniDivision of Surgery of Melanoma and Sarcoma, European Institute of Oncology, Milan, Italy.
Massimo MosconiDivision of Surgery of Melanoma and Sarcoma, European Institute of Oncology, Milan, Italy.
Gian Carlo Antonini CappelliniIV Oncology Division, Istituto Dermopatico dell'Immacolata IRCCS, Rome, Italy.
Elena AlbertazziDivision of Epidemiology and Biostatistics, European Institute of Oncology, Milan, Italy.
Chiara MartinoliMedical Oncology of Melanoma Unit, Division of Medical Oncology of Melanoma and Sarcoma, European Institute of Oncology, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As diverse therapeutic options are now available for advanced melanoma patients, predictive markers that may assist treatment decision are needed. A model based on baseline serum lactate dehydrogenase (LDH), peripheral blood relative lymphocyte counts (RLC) and eosinophil counts (REC) and pattern of distant metastasis, has been recently proposed for pembrolizumab-treated patients. Here, we applied this model to advanced melanoma patients receiving chemotherapy (

Indexed as

biomarkereosinophilipilimumabmelanomapredictive

Identifiers

PMID29108362
PMCPMC5668095

What OpenQuestion holds

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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.