An MGRN1-Based Biomarker Combination Accurately Predicts Melanoma Patient Survival
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ABSTRACT:
PROVIDER: PRJNA1306010 | ENA |
REPOSITORIES: ENA
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Project description:With ever-increasing incidence and high metastatic potential, cutaneous melanoma is the deadliest skin cancer. Risk prediction based on the Tumor-Node-Metastasis (TNM) staging system has medium accuracy with intermediate IIB-IIIB stages, as roughly 25% of patients with low-medium-grade TNM, and hence a favorable prognostic, undergo an aggressive disease with short survival and around 15% of deaths arise from metastases of thin, low-risk lesions. Therefore, reliable prognostic biomarkers are required. We used genomic and clinical information of melanoma patients from the TCGA-SKCM cohort and two GEO studies for discovery and validation of potential biomarkers, respectively. Neither mutation nor overexpression of major melanoma driver genes provided significant prognostic information. Conversely, expression of MGRN1 and the melanocyte-specific genes MLANA, PMEL, and TYRP1 provided a simple 4-gene signature identifying with high-sensitivity (>80%), low-medium TNM patients with adverse outcomes. Transcriptomic analysis of tumors with this signature, or from low-medium-grade TNM patients with poor outcomes, revealed comparable dysregulation of an inflammatory response, cell cycle progression, and DNA damage/repair programs. A functional analysis of MGRN1- knockout cells confirmed these molecular features. Therefore, the simple MGRN1-MLANAPMEL- TYRP1 combination of biomarkers complemented TNM staging prognostic accuracy and pointed to the dysregulation of immunological responses and genomic stability as determinants of a melanoma outcome.
2025-09-14 | GSE305457 | GEO
Project description:With ever-increasing incidence and high metastatic potential, cutaneous melanoma is the deadliest skin cancer. Risk prediction based on the Tumor-Node-Metastasis (TNM) staging system has medium accuracy with intermediate IIB-IIIB stages, as roughly 25% of patients with low-medium-grade TNM, and hence a favorable prognostic, undergo an aggressive disease with short survival and around 15% of deaths arise from metastases of thin, low-risk lesions. Therefore, reliable prognostic biomarkers are required. We used genomic and clinical information of melanoma patients from the TCGA-SKCM cohort and two GEO studies for discovery and validation of potential biomarkers, respectively. Neither mutation nor overexpression of major melanoma driver genes provided significant prognostic information. Conversely, expression of MGRN1 and the melanocyte-specific genes MLANA, PMEL, and TYRP1 provided a simple 4-gene signature identifying with high-sensitivity (>80%), low-medium TNM patients with adverse outcomes. Transcriptomic analysis of tumors with this signature, or from low-medium-grade TNM patients with poor outcomes, revealed comparable dysregulation of an inflammatory response, cell cycle progression, and DNA damage/repair programs. A functional analysis of MGRN1-knockout cells confirmed these molecular features. Therefore, the simple MGRN1-MLANA-PMEL-TYRP1 combination of biomarkers complemented TNM staging prognostic accuracy and pointed to the dysregulation of immunological responses and genomic stability as determinants of a melanoma outcome.
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Project description:Determining the spatial and temporal activity patterns of enhancers remains a challenge in the functional annotation of the human genome. Here, we performed genome-wide mapping of tissue-specific in vivo binding sites for the enhancer-associated protein p300 and assessed in transgenic mice the utility of this information in identifying enhancers and predicting their activity patterns. Chromatin immunoprecipitation followed by massively-parallel sequencing was used to identify p300-enriched sites in mouse embryonic day 11.5 (e11.5) forebrain, midbrain, and limb. In total, 4,686 genomic regions were enriched for p300 in vivo in at least one of these tissues. To determine whether p300-binding accurately identifies enhancers and predicts their activity patterns, we tested 86 of these regions in a transgenic mouse enhancer assay at e11.5. In 88% of the cases, p300-enriched sequences were reproducible enhancers, and in 91% of these cases p300 enrichment correctly predicted the tissues in which in vivo activity was observed. Our results indicate that in vivo mapping of p300 binding to non-coding DNA is a highly effective means for identifying enhancers and their associated spatial activity patterns. Examination of p300 binding in 3 embryonic stage 11.5 mouse tissues
2009-02-11 | E-GEOD-13845 | biostudies-arrayexpress
Project description:Purpose:The Vimentin gene plays a pivotal role in epithelial-to-mesenchymal transition (EMT) and is known to be over-expressed in the prognostically poor basal-like breast cancer subtype. Recent studies have reported Vimentin DNA methylation in association with poor clinical outcomes in other solid tumors, but not in breast cancer. We therefore quantified Vimentin DNA methylation in breast tumors and matched normal pairs in association with gene expression and survival in a cohort of 83 breast cancer patients. Materials and Methods:Vimentin methylation was quantified in 14 breast cell lines, 83 breast tumors, and 57 matched normal pairs using MALDI-TOF mass spectrometry. Gene expression data via qRT-PCR in cell lines, and oligo microarray data from breast tissues was correlated with percent methylation in the Vimentin promoter. A threshold of 20 percent average methylation was set for bivariate and multivariate tests of association between methylation and tumor subtype, tumor histopathology, and survival. Results:Vimentin was differentially methylated in luminal breast cancer cell lines, and in luminal A, luminal B and HER2+ breast tumor subtypes, but was rare in basal-like cell lines and tumors. Increased methylation was strongly correlated with decreased mRNA expression in cell lines, and had a moderate inverse correlation in breast tumors. Importantly, Vimentin methylation predicted poor overall survival independent of race, subtype, stage, nodal status or estrogen receptor positivity. Conclusion:Vimentin methylation predicts overall survival in breast cancer patients and holds promise as a prognostic biomarker for guiding treatment and prophylaxis. reference x sample
2013-02-19 | E-GEOD-35629 | biostudies-arrayexpress
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Project description:We aimed to identify a clinically useful biomarker using DNA methylation-based information to optimize the management of glioblastoma (GBM) patients. We identified a novel six-CpGs signature that predicts the clinical outcome in GBM. The methylation profiling of 79 GBM patients has been used as a validation cohort to demonstrate the performance and the robustness of the identified six-CpGs signature. The status of the âMGMTâ biomarker, traditionally used by clinicians to predict survival in GBM, is also indicated per sample.
2017-12-15 | E-MTAB-4969 | biostudies-arrayexpress
Project description:Determining the spatial and temporal activity patterns of enhancers remains a challenge in the functional annotation of the human genome. Here, we performed genome-wide mapping of tissue-specific in vivo binding sites for the enhancer-associated protein p300 and assessed in transgenic mice the utility of this information in identifying enhancers and predicting their activity patterns. Chromatin immunoprecipitation followed by massively-parallel sequencing was used to identify p300-enriched sites in mouse embryonic day 11.5 (e11.5) forebrain, midbrain, and limb. In total, 4,686 genomic regions were enriched for p300 in vivo in at least one of these tissues. To determine whether p300-binding accurately identifies enhancers and predicts their activity patterns, we tested 86 of these regions in a transgenic mouse enhancer assay at e11.5. In 88% of the cases, p300-enriched sequences were reproducible enhancers, and in 91% of these cases p300 enrichment correctly predicted the tissues in which in vivo activity was observed. Our results indicate that in vivo mapping of p300 binding to non-coding DNA is a highly effective means for identifying enhancers and their associated spatial activity patterns.
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Project description:Purpose:The Vimentin gene plays a pivotal role in epithelial-to-mesenchymal transition (EMT) and is known to be over-expressed in the prognostically poor basal-like breast cancer subtype. Recent studies have reported Vimentin DNA methylation in association with poor clinical outcomes in other solid tumors, but not in breast cancer. We therefore quantified Vimentin DNA methylation in breast tumors and matched normal pairs in association with gene expression and survival in a cohort of 83 breast cancer patients. Materials and Methods:Vimentin methylation was quantified in 14 breast cell lines, 83 breast tumors, and 57 matched normal pairs using MALDI-TOF mass spectrometry. Gene expression data via qRT-PCR in cell lines, and oligo microarray data from breast tissues was correlated with percent methylation in the Vimentin promoter. A threshold of 20 percent average methylation was set for bivariate and multivariate tests of association between methylation and tumor subtype, tumor histopathology, and survival. Results:Vimentin was differentially methylated in luminal breast cancer cell lines, and in luminal A, luminal B and HER2+ breast tumor subtypes, but was rare in basal-like cell lines and tumors. Increased methylation was strongly correlated with decreased mRNA expression in cell lines, and had a moderate inverse correlation in breast tumors. Importantly, Vimentin methylation predicted poor overall survival independent of race, subtype, stage, nodal status or estrogen receptor positivity. Conclusion:Vimentin methylation predicts overall survival in breast cancer patients and holds promise as a prognostic biomarker for guiding treatment and prophylaxis.
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