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pmid:34195299

Bioinformatic Analysis Reveals Central Role for Tumor-Infiltrating Immune Cells in Uveal Melanoma Progression.

Mieszko Lachota · Anton Lennikov · Karl-Johan Malmberg · Radoslaw Zagozdzon

Journal of immunology research · 2021 doi:10.1155/2021/9920234

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:34195299
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science-record
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2026-11-01T15:41:41Z
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2026-11-01T22:04:05Z
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paper object · 10 fields
state
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title
Bioinformatic Analysis Reveals Central Role for Tumor-Infiltrating Immune Cells in Uveal Melanoma Progression.
doi
10.1155/2021/9920234
pmid
34195299
authors array · 4 items
[0]
Mieszko Lachota
[1]
Anton Lennikov
[2]
Karl-Johan Malmberg
[3]
Radoslaw Zagozdzon
journal
Journal of immunology research
year
2021
abstract
Tumor-infiltrating immune cells are capable of effective cancer surveillance, and their abundance is linked to better prognosis in numerous tumor types. However, in uveal melanoma (UM), extensive immune infiltrate is associated with poor survival. This study aims to decipher the role of different tumor-infiltrating cell subsets in UM in order to identify potential targets for future immunotherapeutic treatment. We have chosen the TCGA-UVM cohort as a training dataset and GSE22138 as a testing dataset by mining publicly available databases. The abundance of 22 immune cell types was estimated using CIBERSORTx. Then, to determine the significance of tumor-infiltrating cell subsets in UM, we built a multicell type prognostic signature, which was validated in the testing cohort. The created signature was built upon the negative prognostic role of CD8+ T cells and M0 macrophages and the positive role of neutrophils. Based on the created signature score, we divided the patients into low- and high-risk groups. Kaplan-Meier, Cox, and ROC analyses demonstrated superior performance of our risk score compared to either clinical or pathologic characteristics of both cohorts. Further, we found the molecular pathways associated with cancer immunoevasion and metastasis to be enriched in the high-risk group, explaining both the lack of adequate immune surveillance despite increased infiltration of CD8+ T cells as well as the higher metastatic potential. Genes associated with tryptophan metabolism (IDO1 and KYNU) and metalloproteinases were among the most differentially expressed between the high- and low-risk groups. Our correlation analyses interpreted in context of published in vitro data strongly suggest the central role of CD8+ T cells in shifting the UM tumor microenvironment towards suppressive and metastasis-promoting. Therefore, we propose further investigations of IDO1 and metalloproteinases as novel targets for immunotherapy in lymphocyte-rich metastatic UM patients.
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Kaplan–Meier analysis was used to examine the prognostic differences between the high- and low-risk groups. The p value was assessed by the two-sided log-rank test.
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sections[8] "2.6. Statistical Analysis" paragraph 2
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Kaplan–Meier analysis was used to examine the prognostic differences between the high- and low-risk groups. The p value was assessed by the two-sided log-rank test.
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The gene expression data used in this study can be found in the The Cancer Genome Atlas repository with cohort name GDC TCGA-UVM/TCGA-PANCAN and in the GEO database with cohort name GSE22138.
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sections[20] "Data Availability" paragraph 2
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The gene expression data used in this study can be found in the The Cancer Genome Atlas repository with cohort name GDC TCGA-UVM/TCGA-PANCAN and in the GEO database with cohort name GSE22138.
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title
Expression Data from Uveal Melanoma primary tumors.
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Clinical and pathological characteristics of uveal melanoma patients at the time of diagnosis. Missing data is marked as NA (not available).
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Clinical and pathological characteristics of uveal melanoma patients at the time of diagnosis. Missing data is marked as NA (not available).
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Training cohort (TCGA-UVM, n = 71)
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[2]
9 (15.00%)
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[2]
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[2]
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[2]
12 (2)
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Selected differentially expressed genes (DEGs) between high- and low-risk groups in the training cohort. The genes were selected based on the biological function.
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3.6. The Immune Architecture of the Tumors in High- and Low-Risk Group
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Selected differentially expressed genes (DEGs) between high- and low-risk groups in the training cohort. The genes were selected based on the biological function.
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[0]
Gene symbol
[1]
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[1]
Kynureninase
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Indoleamine 2,3-dioxygenase 1
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0.00054
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ADAM metallopeptidase with thrombospondin type 1 motif 2
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ADAM like decysin 1
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ADAM metallopeptidase domain 11
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Kaplan–Meier analysis was used to examine the prognostic differences between the high- and low-risk groups. The p value was assessed by the two-sided log-rank test.
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ods 2.4. Gene Expression Data Processing The RNA-seq expression data was HTSeq-counts type. After
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Kaplan–Meier analysis was used to examine the prognostic differences between the high- and low-risk groups. The p value was assessed by the two-sided log-rank test.
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Complete file
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However, in uveal melanoma (UM), extensive immune infiltrate is associated with poor survival. This study aims to decipher the role of different tumor-infiltrating cell subsets in UM in order to identify potential targets for future immunotherapeutic treatment. We have chosen the TCGA-UVM cohort as a training dataset and GSE22138 as a testing dataset by mining publicly available databases. The abundance of 22 immune cell types was estimated using CIBERSORTx. Then, to determine the significance of tumor-infiltrating cell subsets in UM, we built a multicell type prognostic signature, which was validated in the testing cohort. The created signature was built upon the negative prognostic role of CD8+ T cells and M0 macrophages and the positive role of neutrophils. Based on the created signature score, we divided the patients into low- and high-risk groups. Kaplan-Meier, Cox, and ROC analyses demonstrated superior performance of our risk score compared to either clinical or pathologic characteristics of both cohorts. Further, we found the molecular pathways associated with cancer immunoevasion and metastasis to be enriched in the high-risk group, explaining both the lack of adequate immune surveillance despite increased infiltration of CD8+ T cells as well as the higher metastatic potential. Genes associated with tryptophan metabolism (IDO1 and KYNU) and metalloproteinases were among the most differentially expressed between the high- and low-risk groups. Our correlation analyses interpreted in context of published in vitro data strongly suggest the central role of CD8+ T cells in shifting the UM tumor microenvironment towards suppressive and metastasis-promoting. 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