![Construction of competing endogenous RNA interaction network as prognostic markers in metastatic melanoma [PeerJ] Construction of competing endogenous RNA interaction network as prognostic markers in metastatic melanoma [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2021/12143/1/fig-3-full.png)
Construction of competing endogenous RNA interaction network as prognostic markers in metastatic melanoma [PeerJ]
A Seven-Marker Signature and Clinical Outcome in Malignant Melanoma: A Large-Scale Tissue-Microarray Study with Two Independent Patient Cohorts | PLOS ONE
![Dermatopathology | Free Full-Text | Aberrant Expression of Immunohistochemical Markers in Malignant Melanoma: A Review Dermatopathology | Free Full-Text | Aberrant Expression of Immunohistochemical Markers in Malignant Melanoma: A Review](https://pub.mdpi-res.com/dermatopathology/dermatopathology-08-00040/article_deploy/html/images/dermatopathology-08-00040-g001.png?1627984389)
Dermatopathology | Free Full-Text | Aberrant Expression of Immunohistochemical Markers in Malignant Melanoma: A Review
![Comparison of the Serum Tumor Markers S100 and Melanoma-inhibitory Activity (MIA) in the Monitoring of Patients with Metastatic Melanoma Receiving Vaccination Immunotherapy with Dendritic Cells | Anticancer Research Comparison of the Serum Tumor Markers S100 and Melanoma-inhibitory Activity (MIA) in the Monitoring of Patients with Metastatic Melanoma Receiving Vaccination Immunotherapy with Dendritic Cells | Anticancer Research](https://ar.iiarjournals.org/content/anticanres/37/9/5033/F1.large.jpg)
Comparison of the Serum Tumor Markers S100 and Melanoma-inhibitory Activity (MIA) in the Monitoring of Patients with Metastatic Melanoma Receiving Vaccination Immunotherapy with Dendritic Cells | Anticancer Research
![Multiomic profiling of checkpoint inhibitor-treated melanoma: Identifying predictors of response and resistance, and markers of biological discordance - ScienceDirect Multiomic profiling of checkpoint inhibitor-treated melanoma: Identifying predictors of response and resistance, and markers of biological discordance - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S1535610821006127-fx1.jpg)
Multiomic profiling of checkpoint inhibitor-treated melanoma: Identifying predictors of response and resistance, and markers of biological discordance - ScienceDirect
![SciELO - Brasil - Immunohistochemical assessment of E-cadherin, β-catenin, CEACAM-1 and PTEN: tumor progression markers in melanoma Immunohistochemical assessment of E-cadherin, β-catenin, CEACAM-1 and PTEN: tumor progression markers in melanoma SciELO - Brasil - Immunohistochemical assessment of E-cadherin, β-catenin, CEACAM-1 and PTEN: tumor progression markers in melanoma Immunohistochemical assessment of E-cadherin, β-catenin, CEACAM-1 and PTEN: tumor progression markers in melanoma](https://minio.scielo.br/documentstore/1678-4774/TvQRW5PSF7KzgcPwtzggfMp/a77905511b14e1f98c2bbca638ee763004d17a29.gif)
SciELO - Brasil - Immunohistochemical assessment of E-cadherin, β-catenin, CEACAM-1 and PTEN: tumor progression markers in melanoma Immunohistochemical assessment of E-cadherin, β-catenin, CEACAM-1 and PTEN: tumor progression markers in melanoma
Biomarkers in Malignant Melanoma: Recent Trends and Critical Perspective - Cutaneous Melanoma - NCBI Bookshelf
![Objective assessment of tumor infiltrating lymphocytes as a prognostic marker in melanoma using machine learning algorithms - eBioMedicine Objective assessment of tumor infiltrating lymphocytes as a prognostic marker in melanoma using machine learning algorithms - eBioMedicine](https://www.thelancet.com/cms/asset/46a2f967-f733-40df-930c-e39eb3779ed7/gr1.jpg)
Objective assessment of tumor infiltrating lymphocytes as a prognostic marker in melanoma using machine learning algorithms - eBioMedicine
![Molecular signatures of circulating melanoma cells for monitoring early response to immune checkpoint therapy | PNAS Molecular signatures of circulating melanoma cells for monitoring early response to immune checkpoint therapy | PNAS](https://www.pnas.org/cms/10.1073/pnas.1719264115/asset/1743d4ce-667a-48c9-8d90-eb275af63b04/assets/graphic/pnas.1719264115fig01.jpeg)