Background: Hypopharyngeal squamous cell carcinoma (HSCC) is a type of head and neck tumor with malignant behavior and poor prognosis. Spatial transcriptomics is a method that spatially analyzes gene expression patterns in tissues and has been used to discover tumor microenvironment and molecular markers in various tumors. However, there are no published reports on spatial transcriptomic analysis of HSCC.
Methods: In this study, spatial transcriptomic analysis was performed on tumor tissues in situ, peritumoral tissues, and lymphatic metastatic tissues of four patients with HSCC. Morphological markers, including panCK, SMA, and CD45, were used to identify epithelial, fibroblast, and immune cells, respectively. By analyzing the expression of more than 18, 000 genes within the transcriptome of all ROIs, differentially expressed genes of three cell types in different tissues were identified, and differentially expressed signaling pathways and immune infiltration were analyzed.
Results: The spatial distribution of cells suggests that fibroblast cells in tumor tissues may be involved in the genesis and development of tumors, and the immune infiltration of lymphatic tumor metastasis is lower than that of tumors in situ. For epithelial cells, SLCO2A1, which is a favorable prognosis marker in head and neck squamous cell carcinoma (HNSCC), was significantly down-regulated in tumor tissues and lymphatic metastatic tissues compared with adjacent normal tissues. For immune cells, KANK3, which is a favorable prognosis markers in HNSCC, was significantly down-regulated in lymphatic metastatic tissues compared with adjacent normal tissues. For fibroblast cells, AQP1, CLEC3B and SLCO2A1, which are favorable prognosis markers in HNSCC, were significantly down-regulated in tumor tissues compared with adjacent normal tissues. ITGA8, which is a favorable prognosis markers in HNSCC, was significantly down-regulated in lymphatic metastatic tissues compared with normal lymphatic tissues. CSRP1, DES, and SLCO2A1 positively correlate with immune infiltration in HNSCC. Moreover, SLCO2A1 overexpression suppressed Fadu cells proliferation and metastasis and significantly correlated with favorable survival overcome in HSCC.
Conclusions: We investigated tumor and fibroblast heterogeneity, as well as the immune microenvironment in HSCC by using spatial transcriptomics. SLCO2A1 may be a tumor suppressor gene and correlates with immune infiltration for HSCC and could serve as a potential target for its diagnosis and treatment.
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http://dx.doi.org/10.1016/j.intimp.2024.113243 | DOI Listing |
Theranostics
January 2025
Hepatic Surgery Center, and Hubei Province for the Clinical Medicine Research Center of Hepatic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, P. R. China.
Tumorigenesis involves a multifaceted and heterogeneous interplay characterized by perturbations in individual immune surveillance. Tumor-infiltrating lymphocytes, as orchestrators of adaptive immune responses, constitute the principal component of tumor immunity. Over the past decade, the functions of tumor-specific T cells have been extensively elucidated, whereas current understanding and research regarding intratumoral B cells remain inadequate and underexplored.
View Article and Find Full Text PDFTheranostics
January 2025
Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA.
Metastasis represents a stage in which the therapeutic objective changes from curing disease to prolonging survival, as detection typically occurs at advanced stages. Technologies for the early identification of disease would enable treatment at a lower disease burden and heterogeneity. Herein, we investigate the vascular dynamics within a synthetic metastatic niche as a potential marker of disease progression.
View Article and Find Full Text PDFFront Bioeng Biotechnol
December 2024
Department of Neurosurgery, University Hospital Leipzig, Leipzig, Germany.
Identifying new substances that could potentially be used for tumor therapy and the precise analysis of their spectrum of action requires models that are as similar as possible to the tumor present in the patient. Traditionally, two-dimensional (2D) cell cultures are used. However, these only resemble solid tumors to a limited extent.
View Article and Find Full Text PDFJ Cancer
January 2025
Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, China.
We studied the prognostic value of in colorectal cancer (CRC) using bioinformatics. exhibited differential expression between the tumor and control samples, and improved survival was observed in patients with increased expression. The univariate and multivariate analyses confirmed as an independent prognostic factor for CRC, based on which a nomogram was constructed for predicting survival in patients with CRC.
View Article and Find Full Text PDFJ Cancer
January 2025
Department of Bone and Soft Tissue Tumors, Tianjin Medical University Cancer Institute &Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin 300060, China.
The aim of our study was to explore the effect of IORT on survival outcome of patients with musculoskeletal malignancy. The prognostic factors of patients with IORT treatment were also identified in this study. The retrospective analysis was conducted based on the Surveillance, Epidemiology, and End Results (SEER) database spanning from 2000 to 2020.
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