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Biology subjects

Kim, I. G.

Publications and source records attributed to Kim, I. G..

2 recordsLinked to original sources

Spatial transcriptomics unveils landscape of resistance to concurrent chemo-radiotherapy in hypopharyngeal squamous cell carcinoma: the role of SPP1+ macrophages

Hypopharyngeal squamous cell carcinoma (SCC) is a highly aggressive cancer with a poor prognosis, particularly in advanced stages where concurrent chemoradiotherapy (CCRT) is used for treatment. However, resistance to CCRT poses a significant challenge, often leading to treatment failure and disease progression. This study explores the tumor microenvironment (TME) of hypopharyngeal SCC to understand the molecular mechanisms underlying CCRT resistance. Using spatial transcriptomics (ST), we analyzed tissue samples from patients with locally advanced hypopharyngeal SCC, distinguishing between those who were CCRT-resistant and those who were CCRT-naive. The analysis revealed six distinct cellular clusters within the TME, including a prominent epithelio-immune cellular area in CCRT-resistant tissues. SPP1 was identified as a key gene with significantly higher expression in CCRT-resistant samples, specifically within macrophages. Further investigation showed that SPP1+ macrophages interacted with malignant epithelial cells through SPP1-CD44 and SPP1-ITGB1 ligand-receptor pairs. These interactions were primarily localized in the peri-tumoral and intra-tumoral regions, highlighting their potential role in driving CCRT resistance. Our findings suggest that SPP1+ macrophages contribute to the resistant phenotype in hypopharyngeal SCC by modulating the TME and interacting with cancer cells. Understanding these interactions offers valuable insights into the mechanisms of CCRT resistance and may inform the development of targeted therapies to improve patient outcomes.

cancer biology↗

Analysis of Unmapped RNA-seq Data from Cancer Spatial Transcriptome to Decipher Cancer Microbiome

Recent research increasingly emphasizes the importance of the microbiome in the development and progression of cancer. Thus, exploring the microbiome modulation in tumor microenvironment and understanding its composition and function are becoming important. The introduction of spatial transcriptomics has provided new insights into microbiome research, as it enables how microbiome affects tumor microenvironment. In this study, we analyzed the spatial distribution of microbial RNA observed through PathSeq and our extended method for unmapped RNA reads in oral squamous cell carcinoma, head and neck cancer, and colorectal cancer samples. Our novel method is designed to identify and classify microbial RNA, using a custom reference that includes species-specific microbial 16S rRNA sequences to enhance the accuracy of species-level microbiome analysis. The results of this study showed a potential for a deeper understanding of the microbial distribution and their functional roles within cancer tissues. These findings will reevaluate the role of the microbiome in cancer research, providing an insight for the development of microbiome-based therapies in the future.

bioinformatics↗