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  • 1
    In: Cancers, MDPI AG, Vol. 15, No. 18 ( 2023-09-21), p. 4663-
    Abstract: (1) Background: This study investigated whether polo-like kinase 4 (PLK4) is a suitable therapeutic target or biomarker for lung adenocarcinoma (LUAD). (2) Methods: We acquired LUAD data from The Cancer Genome Atlas (TCGA) database through the UCSC Xena data portal. Gene expression, clinical, survival, and mutation data from multiple samples were analyzed. Gene enrichment analysis, unsupervised clustering of PLK4-related pathways, and differential gene expression analyses were performed. Additionally, correlations, t-tests, survival analyses, and statistical analyses were performed. (3) Results: PLK4 expression was higher in LUAD tissues than in normal tissues and was associated with poor prognosis for both overall and progression-free survival in LUAD. PLK4 was highly correlated with cell-proliferation-related pathways using Gene Ontology (GO) biological process terms. PLK4 expression and pathways that were highly correlated with PLK4 expression levels were upregulated in patients with LUAD with the TP53 mutation. (4) Conclusions: PLK4 expression affects the survival of patients with LUAD and is a potential therapeutic target for LUAD with TP53 mutations.
    Type of Medium: Online Resource
    ISSN: 2072-6694
    Language: English
    Publisher: MDPI AG
    Publication Date: 2023
    detail.hit.zdb_id: 2527080-1
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  • 2
    In: Frontiers in Immunology, Frontiers Media SA, Vol. 15 ( 2024-4-12)
    Abstract: Aryl hydrocarbon receptor (AhR) is a transcription factor that performs various functions upon ligand activation. Several studies have explored the role of AhR expression in tumor progression and immune surveillance. Nevertheless, investigations on the distribution of AhR expression, specifically in cancer or immune cells in the tumor microenvironment (TME), remain limited. Examining the AhR expression and distribution in the TME is crucial for gaining insights into the mechanism of action of AhR-targeting anticancer agents and their potential as biomarkers. Methods Here, we used multiplexed immunohistochemistry (mIHC) and image cytometry to investigate the AhR expression and distribution in 513 patient samples, of which 292 are patients with one of five solid cancer types. Additionally, we analyzed the nuclear and cytosolic distribution of AhR expression. Results Our findings reveal that AhR expression was primarily localized in cancer cells, followed by stromal T cells and macrophages. Furthermore, we observed a positive correlation between the nuclear and cytosolic expression of AhR, indicating that the expression of AhR as a biomarker is independent of its localization. Interestingly, the expression patterns of AhR were categorized into three clusters based on the cancer type, with high AhR expression levels being found in regulatory T cells (Tregs) in non-small cell lung cancer (NSCLC). Discussion These findings are anticipated to serve as pivotal evidence for the design of clinical trials and the analysis of the anticancer mechanisms of AhR-targeting therapies.
    Type of Medium: Online Resource
    ISSN: 1664-3224
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2024
    detail.hit.zdb_id: 2606827-8
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  • 3
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 83, No. 7_Supplement ( 2023-04-04), p. 6780-6780
    Abstract: Heterogeneity in resistant to immunotherapies of tumor microenvironment (TME) has been implicated in immunotherapies to cause immune evasion or drug resistance. This study was conducted to explore the heterogeneity of TME through multiplex IHC, spatial and RNA sequencing analysis. We selected a sample from a lung adenocarcinoma patient without EGFR-activating mutation and expressing 30% of PD-L1. For quantitative analysis by multiplex IHC, various markers including CD4, CD8, FoxP3, granzyme B, CD20 and pan-cytokeratin were stained with 7 different fluorescence dyes, which was imaged with Vectra Polaris (Akoya). For scRNAseq and spatial RNAseq, we used 5’ chromium library kit (10X Genomics) to make library construction. Integrated raw data was generated using Cell ranger, Seurat pipeline and Azimuth package. The tumor area was divided into 16 clusters in which we selected 2 clusters based on CD3/45 expression. There was a noticeable distinction between the two clusters which were defined as the ‘High’ region (CD45highCD3high cluster) and the ‘Low’ region (CD45lowCD3low cluster). By multiplex IHC, percentage of CD8+T cells was higher in the ‘High’ region than in the ‘Low’ region (8.5% vs. 0.8%, respectively). Subsequent analysis of two clusters using spatial and single cell RNA seq, the ‘Low’ region was characterized by increased hypoxia-associated gene expressions including HIF1A, HIF3A and VEGFA. Various immune cells were abundant in the ‘High’ region and CD45 expression level was 11-fold higher in the ‘High’ region compared to the ‘Low’ region. Cytokine/chemokine network analysis via spatial RNAseq revealed that gene expression of tumor necrosis factor (TNF) family-associated factors increased in the 'High' region compared to the ‘Low’ region (TNF, FAS, TRAIL, RANKL and CD40), which is well-known to promotes apoptosis, programmed cell death, or necrosis of certain cancer. Additionally, the ‘High’ region also had elevated levels of the PD-1/PD-L1, CD155, CD122/TIGIT, Siglec10/CD24, LAG3/LAGLS3, and CD47/CD172a axes, suggesting active immune responses. Intriguingly, combined analyses showed that ‘High’ region showed enhanced level of CD44 expression as the leading-edged gene, which suggests the metastatic potential of tumor cells. Furthermore, scRNA analysis confirmed that CD44 expression was mainly higher in macrophages, suggesting that tumor-associated macrophages partially affected tumor cell metastasis in the ‘High’ region. Our finding suggests that understanding the intratumoral immunological heterogeneity of lung adenocarcinoma can help to study the mechanism of tumor heterogeneity by integrated spatial RNAseq and scRNAseq analyses. This type of technique could be applied to understand complex networks of anti-tumor immune activities, drug resistance mechanisms and immunotherapeutic response of cancer. Citation Format: Seul Lee, Jae-Hwan Kim, Kwangmin Na, Seung Min Yang, Dong Kwon Kim, Sujeong Baek, Seong-san Kang, Yu Jin Han, Chun-Bong Synn, Mi hyun Kim, Heekyung Han, Young Taek Kim, Sungwoo Lee, Youngseon Byeon, Young Seob Kim, Ji Yun Lee, Jii Bum Lee, Chang Gon Kim, Min Hee Hong, Sun Min Lim, Kyoung-Ho Pyo, Byoung Chul Cho. Characterization of immunological heterogeneity in the tumor microenvironment by integrated analyses using single cell RNAseq, spatial RNAseq and multiplex IHC [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 6780.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
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    detail.hit.zdb_id: 410466-3
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