Cutaneous Melanoma Detection and Management

Genomic classification and immune profiling define mucosal melanoma

This study identifies genomic subtypes and immune features of mucosal melanoma, linking CD163+ macrophages to immune resistance and suggesting TIM-3 blockade as a therapeutic target.

Melanoma germline genetics: immune, cancer driver, and Wnt signaling genes

This paper identifies 116 risk loci for melanoma through GWAS, links susceptibility to immunity and Wnt signaling, and develops a PRS improving risk prediction.

Melanoma evolution in the lymph node shapes systemic outcomes

This study shows that lymph nodes actively drive melanoma evolution and immune evasion, linking regional metastasis to poor patient outcomes.

Large distant deletion disrupts CDKN2A enhancer and predisposes to melanoma

The paper identifies a large distant deletion in DMRTA1 upstream of CDKN2A that predisposes to melanoma by disrupting regulatory sequences and reducing p16 expression.

Spatially resolved diversity in molecular states underlies congenital melanocytic nevi and associated tumors

This study maps spatially resolved molecular states in congenital melanocytic nevi and associated tumors, revealing distinct melanocyte subpopulations and signaling networks linked to disease progression.

Spontaneous cancer regression as inversion of spontaneous cancer progression: Malignant melanoma remission as a case-study towards clinical applicability

This paper investigates spontaneous cancer regression in melanoma, finding that DNA interference, not immunotherapy, is the primary route for tumor elimination, with therapeutic potential through targeting specific pathways.

Multiomic profiling of a unique in-transit melanoma cohort identifies melanoma differentiation as predictor of tumor progression and therapy response

The paper identifies melanoma differentiation and immune exhaustion as predictors of tumor progression and therapy response in in-transit melanoma patients through multiomic profiling.

Spatial determinants of tumor cell dedifferentiation and plasticity in primary cutaneous melanoma

The paper maps spatial patterns of tumor cell dedifferentiation and plasticity in melanoma by analyzing RNA and protein expression across 300 histological domains.

The microenvironment of ulcerated acral melanoma is characterised by an inflammatory milieu and an enhanced humoral immune response

This study identifies immunological differences in ulcerated acral melanoma, showing increased humoral immunity and inflammation markers, and proposes potential therapeutic targets.

LRP2 expression in melanoma is associated with a transitory cell state, increased T cell infiltration, and is upregulated by IFNγ signaling

This study identifies LRP2 expression in melanoma as linked to a transient differentiation state, T cell infiltration, and IFNγ signaling, with associations to better prognostic features.

Clinico-genomic features predict distinct metastatic phenotypes in cutaneous melanoma

This study identifies distinct metastatic phenotypes in cutaneous melanoma using clinico-genomic data and machine learning, linking specific mutations and clinical factors to organ-specific metastasis.

Corticotropin-releasing hormone in melanoma and non-melanoma skin cancer.

This study examines CRH expression in skin cancers, finding higher levels in melanoma compared to less aggressive cancers and a survival correlation in men.

Deconvoluted methylation profiles discriminate between closely related melanocytic nevi

The paper uses weighted whole-genome methylation analysis to distinguish between congenital and acquired melanocytic nevi.

Machine Learning Approaches for Skin Neoplasm Diagnosis

This paper evaluates machine learning models for skin neoplasm diagnosis using the HAM10000 dataset, showing improved accuracy after applying data preprocessing techniques.

Network-based molecular subtyping of acral melanoma

The paper identifies two subtypes of acral melanoma with distinct clinical and molecular features using multi-omics data and network-based analysis.

Computer-aided diagnosis of reflectance confocal images to differentiate between lentigo maligna (LM) and atypical intraepidermal melanocytic proliferation (AIMP)

This paper develops machine learning models to classify lentigo maligna and atypical intraepidermal melanocytic proliferation using reflectance confocal microscopy images.

Tumour gene expression signature in primary melanoma predicts long-term outcomes: A prospective multicentre study

This paper develops a gene expression signature, Cam_121, to predict long-term outcomes in primary melanoma patients, showing improved accuracy compared to clinical and existing prognostic models.

Recommendations for Primary Prevention of Skin Melanoma

The paper develops a polygenic risk score-based pipeline to provide personalized recommendations for melanoma prevention by integrating genetic risk with health behavior.

Computing Skin Cutaneous Melanoma Outcome from the HLA-alleles and Clinical Characteristics

The paper develops prediction models using HLA-alleles and clinical characteristics to predict overall survival in skin cutaneous melanoma patients and identifies favorable and unfavorable superalleles.

Lesion Attributes Segmentation for Melanoma Detection with Deep Learning

The paper presents two deep learning models for detecting melanoma lesion attributes using dermoscopic images, achieving a Jaccard index of 0.433 on test data.

Skin Lesion Classification Via Combining Deep Learning Features and Clinical Criteria Representations

This paper proposes a two-stage method combining deep learning features and clinical criteria for automated skin lesion classification, achieving promising accuracy on the ISIC 2018 dataset.