Publications by authors named "Junha Cha"
Article Synopsis
- HPV-positive oropharyngeal squamous cell carcinoma (OPSCC) is linked to better clinical outcomes compared to HPV-negative OPSCC, but the effectiveness of immunotherapy in these patients is still uncertain.
- Researchers conducted detailed analyses of tumor biopsies from patients to discover why some HPV-positive individuals did not respond well to immunotherapy.
- They found that high levels of CD161 in resident memory T cells were associated with poor antitumor activity, suggesting that targeting CD161 may improve immunotherapy outcomes for HPV-positive OPSCC patients.
A Phase II Open-Label Randomized Clinical Trial of Preoperative Durvalumab or Durvalumab plus Tremelimumab in Resectable Head and Neck Squamous Cell Carcinoma.
Clin Cancer Res
May 2024
Purpose: Clinical implications of neoadjuvant immunotherapy in patients with locally advanced but resectable head and neck squamous cell carcinoma (HNSCC) remain largely unexplored.
Patients And Methods: Patients with resectable HNSCC were randomized to receive a single dose of preoperative durvalumab (D) with or without tremelimumab (T) before resection, followed by postoperative (chemo)radiotherapy based on multidisciplinary discretion and 1-year D treatment. Artificial intelligence (AI)-powered spatial distribution analysis of tumor-infiltrating lymphocytes and high-dimensional profiling of circulating immune cells tracked dynamic intratumoral and systemic immune responses.
Single-cell transcriptome data provide a unique opportunity to explore the gene networks of a particular cell type. However, insufficient capture rate and high dimensionality of single-cell RNA sequencing (scRNA-seq) data challenge cell-type-specific gene network (CGN) reconstruction. Here, we demonstrated that the imputation of scRNA-seq data enables reconstruction of CGNs by effective retrieval of gene functional associations.
View Article and Find Full Text PDFArticle Synopsis
- A significant obstacle in single-cell biology is pinpointing how genes function specifically in different cell types, which can enhance personalized medicine.
- Current methods like differential expression analysis are limited, prompting the need for additional techniques to connect gene functions to specific cells.
- The newly developed tool, scHumanNet, improves understanding of cellular diversity by analyzing gene networks and has shown promising results in identifying disease markers and specific gene functions in conditions like breast cancer and autism.
HumanNet v3: an improved database of human gene networks for disease research.
Nucleic Acids Res
January 2022
Network medicine has proven useful for dissecting genetic organization of complex human diseases. We have previously published HumanNet, an integrated network of human genes for disease studies. Since the release of the last version of HumanNet, many large-scale protein-protein interaction datasets have accumulated in public depositories.
View Article and Find Full Text PDFSingle-cell network biology for resolving cellular heterogeneity in human diseases.
Exp Mol Med
November 2020
Understanding cellular heterogeneity is the holy grail of biology and medicine. Cells harboring identical genomes show a wide variety of behaviors in multicellular organisms. Genetic circuits underlying cell-type identities will facilitate the understanding of the regulatory programs for differentiation and maintenance of distinct cellular states.
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