Evidence map›Paper›PMID 39976551›Full record

ArticleBiomolecules & biomedicine2025

The impact of MITF expression on tumor-infiltrating lymphocytes in melanoma: Insights into immune microenvironment dynamics.

Damir Vučinić, Matea Lekić, Gordana Žauhar, Gordana Zamolo

Abstract read
In one paragraph

Article in Biomolecules & biomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. Article
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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

4 authors.

Damir VučinićTumor Clinic, Clinical Hospital Centre Rijeka, Rijeka, Croatia; Department of Oncology and Radiotherapy, University of Rijeka, Faculty of Medicine, Rijeka, Croatia.
Matea LekićSpecial Hospital Radiochirurgia Zagreb, Sveta Nedelja, Croatia.
Gordana ŽauharDepartment of Medical Physics and Biophysics, University of Rijeka, Faculty of Medicine, Rijeka, Croatia.
Gordana ZamoloDepartment of Pathology, University of Rijeka, Faculty of Medicine, Rijeka, Croatia; Department of Pathology, Clinical Hospital Centre Rijeka, Rijeka, Croatia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melanoma progression is influenced by complex interactions between tumor cells and the immune microenvironment. This study examined the relationship between microphthalmia-associated transcription factor (MITF) expression and the immune microenvironment in primary melanoma using a modified classification of tumor-infiltrating lymphocytes (TILs) based on conventional BRISK categories. Archival formalin-fixed, paraffin-embedded tissue samples from 81 primary melanoma patients were analyzed via tissue microarray immunohistochemistry to assess MITF protein levels. TIL patterns were categorized into six groups, refining the traditional BRISK classification to distinguish between continuous and discontinuous infiltration, as well as peripheral vs intratumoral distribution. The analysis revealed that melanomas classified under the BRISK B category exhibited the highest MITF expression, often exceeding 50%. In contrast, tumors in the NON-BRISK and ABSENT TIL groups showed significantly lower MITF expression (mean values: 32.73% ± 16.98% and 22.00% ± 10.54%, respectively), with statistically significant differences (Kruskal-Wallis test, P = 0.027; modified classification, P = 0.011). Additionally, the presence of CD20+ B lymphocytes correlated with increased MITF expression (P = 0.009). MITF gene amplification was detected in 29% of cases, though its association with protein expression showed only a trend (P = 0.058). These findings highlight the complex interplay between MITF expression and TIL distribution in melanoma, suggesting that refined TIL classification may offer deeper insights into tumor immunobiology and help predict responses to immunotherapy.

Indexed as

Lymphocytes, Tumor-InfiltratingMelanomaMicrophthalmia-Associated Transcription FactorSkin NeoplasmsTumor MicroenvironmentAdultAgedAged, 80 and overFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedMicrophthalmia-Associated Transcription FactorMITF protein, human

Identifiers

PMID39976551
PMCPMC12450080

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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.