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

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.

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Publication Details

Journal
Biomolecules and Biomedicine
Published
2025-02-18
DOI
https://doi.org/10.17305/bb.2025.12125
Primary Topic
Cell Adhesion Molecules Research
Type
article
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article

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

Gordana Žauhar, Gordana Zamolo, Damir Vučinić, Matea Lekić
Biomolecules and Biomedicine
Cell Adhesion Molecules Research
article

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

Gordana Žauhar, Gordana Zamolo, Damir Vučinić, Matea Lekić
article en

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.

Biomolecules and BiomedicineVol. 25(9)
University Hospital Centre Zagreb (HR), University of Rijeka (HR)
Openalex Percentile: Top 94%
Cell Adhesion Molecules Research
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