Evidence map›Paper›PMID 33117345›Full record

ArticleFrontiers in immunology2020

Peritumoral Immune Infiltrate as a Prognostic Biomarker in Thin Melanoma.

Francesco Sabbatino, Giosuè Scognamiglio, Luigi Liguori, Antonio Marra, Anna Maria Anniciello, Giovanna Polcaro, Jessica Dal Col, Alessandro Caputo, Anna Lucia Peluso, Gerardo Botti and 3 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2020. 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
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  12. Review
  13. Immune checkpoint inhibitors for the treatment of melanoma.Expert opinion on biological therapy · 2022
    Review
  14. Article
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  16. Article
  17. 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

13 authors.

Francesco SabbatinoDepartment of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, Baronissi, Italy.
Giosuè ScognamiglioPathology Unit, Istituto Nazionale Tumori, IRCSS, "Fondazione G. Pascale", Naples, Italy.
Luigi LiguoriDepartment of Clinical Medicine and Surgery, University of Naples "Federico II", Naples, Italy.
Antonio MarraDivision of Early Drug Development for Innovative Therapies, IEO, European Institute of Oncology, Milan, Italy.
Anna Maria AnnicielloPathology Unit, Istituto Nazionale Tumori, IRCSS, "Fondazione G. Pascale", Naples, Italy.
Giovanna PolcaroDepartment of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, Baronissi, Italy.
Jessica Dal ColDepartment of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, Baronissi, Italy.
Alessandro CaputoDepartment of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, Baronissi, Italy.
Anna Lucia PelusoDepartment of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, Baronissi, Italy.
Gerardo BottiScientific Direction, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, Naples, Italy.
Pio ZeppaDepartment of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, Baronissi, Italy.
Soldano FerroneDivision of Surgical Oncology, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Stefano PepeDepartment of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, Baronissi, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thin melanomas are tumors less than 1 mm thick according to Breslow classification. Their prognosis is in most cases excellent. However, a small subset of these tumors relapses. These clinical findings emphasize the need of novel prognostic biomarkers to identify this subset of tumors. Characterization of tumor immune microenvironment (TIME) is currently investigated as a prognostic and predictive biomarker for cancer immunotherapy in several solid tumors including melanoma. Here, taking into account the limited availability of tumor tissues, by characterizing some of the characteristics of TIME such as number of infiltrating lymphocytes, HLA class I antigen and PD-L1 expression, we show that number of infiltrating CD8+ and FOXP3+ T cells as well as CD8+/FOXP3+ T cell ratio can represent a useful prognostic biomarker in thin melanoma. Although further investigations in a larger patient cohort are needed, these findings have potential clinical significance since they can be used to define subgroups of thin melanoma patients who have a worse prognosis and might need different treatment modalities.

Indexed as

AdultAgedB7-H1 AntigenBiomarkers, TumorCD8-Positive T-LymphocytesCohort StudiesDisease-Free SurvivalFemaleForkhead Transcription FactorsHistocompatibility Antigens Class IHumansKaplan-Meier EstimateLymphocytes, Tumor-InfiltratingMaleMelanomaMiddle AgedB7-H1 AntigenBiomarkers, TumorCD274 protein, humanForkhead Transcription FactorsFOXP3 protein, humanHistocompatibility Antigens Class ICD4CD8human leukocyte antigen class I antigensprognosisprogrammed death-ligand 1thin melanomatimetumor-infiltrating lymphocytes

Identifiers

PMID33117345
PMCPMC7550791

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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.