R. Hong

Histopathology-assisted proteogenomics provides foundations for stratification of melanoma metastases

This study integrates histopathology and proteogenomic data from melanoma metastases to identify subtypes and risk factors, offering a basis for personalized treatment strategies.

Unveiling the Intercompartmental Signaling Axis: Mitochondrial to ER Stress Response (MERSR) and its Impact on Proteostasis

The paper identifies a Mitochondria to ER Stress Response (MERSR) that enhances proteostasis by modulating UPRER and PERK-eIF2 signaling in disease models.

Proteogenomic Characterization Reveals Therapeutic Opportunities Related to Mitochondrial Function in Melanoma

This study uses proteomics to analyze mitochondrial function in melanoma samples, finding dysregulation linked to patient survival and treatment responses, and proposes therapeutic strategies targeting mitochondrial pathways.

RTK-dependent inducible degradation of mutant PI3K alpha drives GDC-0077 (Inavolisib) efficacy

The paper shows that GDC-0077 and taselisib degrade mutant PI3K alpha via HER2-dependent mechanisms, enhancing efficacy in PIK3CA-mutant breast cancer.

Inactivation of the Hippo Tumor Suppressor Pathway Promotes Melanoma

This study shows that the Hippo tumor suppressor pathway is activated in growth-arrested melanocytes, preventing melanoma development, and its inactivation allows BRAF-driven melanoma formation.

Proteogenomics Reveals how Metastatic Melanoma Modulates the Immune System to Allow Immune Evasion

This paper analyzes proteogenomic data from melanoma patients to show how metastatic melanoma alters metabolism and immune responses to evade immune detection.

Single-cell characterization of subsolid and solid lesions in the lung adenocarcinoma spectrum

The paper uses single-cell RNA sequencing to compare immune and non-immune cell features in subsolid, solid, and non-involved lung tissues, finding reduced cytolytic activity and increased regulatory T cells in subsolid lesions.

A Deep Learning Approach for Rapid Mutational Screening in Melanoma

This paper develops a deep learning model to detect BRAF mutations in melanoma histopathology images using whole slide images from 256 patients, achieving AUC scores of 0.96 and 0.72.

Improving the specificity of adenine base editor using high-fidelity Cas9

This study improves the specificity of adenine base editor ABE7.10 by replacing SpCas9 with high-fidelity Cas9 variants, showing reduced off-target activity in four test sites.

A Single-Cell Immune Atlas of Triple Negative Breast Cancer Reveals Novel Immune Cell Subsets

The paper performs single-cell RNA sequencing on TNBC tumors to identify novel immune cell subsets and their associations with survival and TCR signaling.