Pp071

Morita, Yoshihiro; Hata, Kenji; Nakanishi, Masayoshi; Yonekawa, Atsuko; Iwagami, Takaki; Iwai, Shinichi; Omata, Tetsuji; Kobayashi, Kazuyo; Morita, Nobuo; Nishimura, Riko; Yura, Yoshiaki; Yoneda, Toshiyuki

doi:10.1016/j.oraloncology.2013.03.314

Cited by 3 publications

(2 citation statements)

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“…Lymphopenia and immunocytotoxicity are also associated with metastasis (Mlecnik et al, 2016). FAK reduces lymphocyte toxicity and affects lymphatic vessel formation (Morita et al, 2015). Among the known lymphangiogenic factors, vascular endothelial growth factor-C (VEGF-C) is the best characterized and recognized as a major regulator of lymphangiogenesis.…”

Section: Lymphangiogenesismentioning

confidence: 99%

Functional and clinical characteristics of focal adhesion kinases in cancer progression

Zhang

Li²,

Jiao³

et al. 2022

Front. Cell Dev. Biol.

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Focal adhesion kinase (FAK) is a non-receptor tyrosine kinase and an adaptor protein that primarily regulates adhesion signaling and cell migration. FAK promotes cell survival in response to stress. Increasing evidence has shown that at the pathological level, FAK is highly expressed in multiple tumors in several systems (including lung, liver, gastric, and colorectal cancers) and correlates with tumor aggressiveness and patient prognosis. At the molecular level, FAK promotes tumor progression mainly by altering survival signals, invasive capacity, epithelial-mesenchymal transition, the tumor microenvironment, the Warburg effect, and stemness of tumor cells. Many effective drugs have been developed based on the comprehensive role of FAK in tumor cells. In addition, its potential as a tumor marker cannot be ignored. Here, we discuss the pathological and pre-clinical evidence of the role of FAK in cancer development; we hope that these findings will assist in FAK-based clinical studies.

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Section: Lymphangiogenesismentioning

confidence: 99%

Functional and clinical characteristics of focal adhesion kinases in cancer progression

Zhang

Li²,

Jiao³

et al. 2022

Front. Cell Dev. Biol.

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“…In addition, both COX-2 and PGE2 regulate tumor angiogenesis by modulating VEGF or directly influencing endothelial cell proliferation (59). COX-2 expression is also correlated with lymph node metastasis and disease progression in nasopharyngeal carcinoma (NPC), and co-expression of COX-2/ VEGF-C in OSCC has been associated with the generation of lymphatic vessels (60,61). Furthermore, PGE2 promotes the maturation of regulatory T cells (Tregs) and facilitates the recruitment of MDSCs to the tumor tissues, which suppresses the anti-tumor immune response and promotes tumor growth (62).…”

Section: Targeting the Cox-2 Pathwaymentioning

confidence: 99%

Targeted therapy for head and neck squamous cell carcinoma microenvironment

Guo,

Li,

Liu

et al. 2023

Front. Med.

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Head and neck squamous cell carcinoma (HNSCC) originates from the squamous epithelium of the oral cavity, oropharynx, larynx, and hypopharynx. HNSCC in the oral cavity and larynx is strongly associated with tobacco smoking and alcohol consumption, while oropharyngeal cancer is increasingly attributed to infection by human papillomavirus (HPV), particularly HPV-16. The tumor microenvironment (TME) is a complex network of cancer cells, immune cells, stromal cells, surrounding blood vessels, and signaling molecules, and plays a critical role in tumor cell survival, invasion, and recurrence. Therefore, it is critical to elucidate the molecular basis of the interaction between tumor cells and the TME in order to develop innovative anti-cancer therapeutic strategies.

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NEST: Spatially-mapped cell-cell communication patterns using a deep learning-based attention mechanism

Zohora,

Flores-Figueroa,

et al. 2024

Preprint

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Dysregulation of communication between cells mediates complex diseases such as cancer and diabetes. However, detecting cell-cell communication (CCC) at scale remains one of the greatest challenges in transcriptomics. While gene expression measured with single-cell RNA sequencing and spatial transcriptomics reinvigorated computational approaches to detecting CCC, most existing methods exhibit high false positive rates, do not integrate spatial proximity of ligand-receptor interactions, and cannot detect CCC between individual cells. We overcome these challenges by presentingNEST (NEural network on Spatial Transcriptomics), which uses a graph attention network paired with an unsupervised contrastive learning approach to decipher patterns of communication while retaining the strength of each signal. We introduce new synthetic benchmarking experiments which demonstrate how NEST outperforms existing tools and detects biologically-relevant CCC along with directionality and confidence across spot- and cell-based technologies measuring several different tissues and diseases. In our applications, NEST identifies T-cell homing signals in human lymph nodes, aggressive cancer CCC in lung adenocarcinoma, and discovers new patterns of communication that act as relay networks in pancreatic cancer. Beyond two-dimensional data, we also highlight NEST’s ability to detect CCC in three-dimensional spatial transcriptomic data.

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Pp071

Cited by 3 publications

References 0 publications

Functional and clinical characteristics of focal adhesion kinases in cancer progression

Functional and clinical characteristics of focal adhesion kinases in cancer progression

Targeted therapy for head and neck squamous cell carcinoma microenvironment

NEST: Spatially-mapped cell-cell communication patterns using a deep learning-based attention mechanism

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