Interactive regulation of laryngeal cancer and neuroscience

Hou, Yunjing; Yang, Xinxin; Miao, Susheng; Qu, Guofan; Meng, Hongxue

doi:10.1016/j.bbcan.2021.188580

Cited by 7 publications

(5 citation statements)

References 120 publications

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“…Studies have shown that nerves release neurotransmitters to promote tumor growth, and tumors secrete neurotrophic factors from each other, stimulate nerve growth and tumor cells to stimulate proliferation, survival, migration, and/or invasion, and favor tumor angiogenesis, while neurotrophic growth factors secreted by cancer cells can also drive the growth of nerves in solid tumors (Jobling et al, 2015;Chopin et al, 2016;Griffin et al, 2018). The effect of growing nerves on tumors has also been studied in other cancers, such as tumor cells and nerve endings such as laryngeal cancer and colorectal cancer by secreting and absorbing neurotrophic factors; Causing peripheral invasion (PNI) and promoting tumor progression (Hou et al, 2021;Zhang et al, 2022a). Tumor denervation of prostate, stomach, and pancreatic cancers reduces tumor growth and invasion; The presence of nerves is associated with metastasis and increased tumor grading (Rowe et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Identification and validation of neurotrophic factor-related genes signature in HNSCC to predict survival and immune landscapes

et al. 2022

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Background: Head and neck squamous cell carcinoma (HNSCC) is the seventh most common type of cancer worldwide. Its highly aggressive and heterogeneous nature and complex tumor microenvironment result in variable prognosis and immunotherapeutic outcomes for patients with HNSCC. Neurotrophic factor-related genes (NFRGs) play an essential role in the development of malignancies but have rarely been studied in HNSCC. The aim of this study was to develop a reliable prognostic model based on NFRGs for assessing the prognosis and immunotherapy of HNSCC patients and to provide guidance for clinical diagnosis and treatment.Methods: Based on the TCGA-HNSC cohort in the Cancer Genome Atlas (TCGA) database, expression profiles of NFRGs were obtained from 502 HNSCC samples and 44 normal samples, and the expression and prognosis of 2601 NFRGs were analyzed. TGCA-HNSC samples were randomly divided into training and test sets (7:3). GEO database of 97 tumor samples was used as the external validation set. One-way Cox regression analysis and Lasso Cox regression analysis were used to screen for differentially expressed genes significantly associated with prognosis. Based on 18 NFRGs, lasso and multivariate Cox proportional risk regression were used to construct a prognostic risk scoring system. ssGSEA was applied to analyze the immune status of patients in high- and low-risk groups.Results: The 18 NFRGs were considered to be closely associated with HNSCC prognosis and were good predictors of HNSCC. The multifactorial analysis found that the NFRGs signature was an independent prognostic factor for HNSCC, and patients in the low-risk group had higher overall survival (OS) than those in the high-risk group. The nomogram prediction map constructed from clinical characteristics and risk scores had good prognostic power. Patients in the low-risk group had higher levels of immune infiltration and expression of immune checkpoints and were more likely to benefit from immunotherapy.Conclusion: The NFRGs risk score model can well predict the prognosis of HNSCC patients. A nomogram based on this model can help clinicians classify HNSCC patients prognostically and identify specific subgroups of patients who may have better outcomes with immunotherapy and chemotherapy, and carry out personalized treatment for HNSCC patients.

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Section: Introductionmentioning

confidence: 99%

Identification and validation of neurotrophic factor-related genes signature in HNSCC to predict survival and immune landscapes

et al. 2022

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“…[25] In solid tumors, studies from tumors that are developed from highly innervated organs such as pancreatic, head and neck, prostate, and colorectal cancer have shown that nerve density and neurotropism are associated with increased metastasis, morbidity, and mortality. [26][27][28][29] These findings of the impact of nerve density in patient's outcome have led to study different mechanisms of interaction among nerve fibers, tumor cells, and TME.…”

Section: Historical Backgroundmentioning

confidence: 99%

The Role of Nerve Fibers in the Tumor Immune Microenvironment of Solid Tumors

2022

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The concept of solid tumors innervation and tumor associated nerves is a recently emerging area of cancer research, with several studies showing strong evidence of its critical role in tumor biology. [3] Numerous studies in the field of cancer research and neuroscience have identified nerves as key promoters of different pathways of tumor growth and dissemination. In addition, it has been shown that nerves play immune regulatory functions and constitute an essential component of cellular microenvironments. [4] Furthermore, nerves seem to modulate many signaling pathways in tumor cells and other cellular elements of the TME. [5] The assessment of the presence, type, and density of nerve fibers performed in tumor tissue offers several opportunities to study nerve-related mechanisms implicated in tumor development. This is supported by studies revealing that differences of nerve fiber density in tumors, such as in pancreatic carcinoma, correlated patient's prognosis. [6] There are many techniques that can be used to evaluate nerve fibers in tissue, namely, routine hematoxylin and eosin (H&E) staining combined with micro scopy evaluation and more advanced technologies including artificial intelligence or hi-plex techniques that allow the analysis of several biomarkers in limited tissue samples. [7,8] More importantly, understanding the mutual interactions between nerves and solid tumors may accelerate the development of novel drugs and surgical therapeutic approaches. [9] Nerves seem to have a trophic and immune impact in tumors similarly to the well-known nerve functions in tissue regeneration, and in immunity, these features can potentially be exploited to develop novel and more efficacious therapeutic approaches. [10,11] These new therapeutic targets, alone or in combination with chemotherapy or immunotherapy could slow or stop cancer progression. [12] In this review we will briefly describe the historical background of the study of nerves in tumors, the mechanisms associated with this emergent concept of nerve fibers as important players in the TME including innervation of solid tumors, mechanisms of nerve fiber neogenesis, the complex interactions among nerve fibers and TME elements including immune cells, and its impact in tumor initiation and disease progression; we will also provide a summary of the approaches that can be used to assess tumor associated nerves in tissue;The importance of neurons and nerve fibers in the tumor microenvironment (TME) of solid tumors is now acknowledged after being unexplored for a long time; this is possible due to the development of new technologies that allow in situ characterization of the TME. Recent studies have shown that the density and types of nerves that innervate tumors can predict a patient's clinical outcome and drive several processes of tumor biology. Nowadays, several efforts in cancer research and neuroscience are taking place to elucidate the mechanisms that drive tumor-associated innervation and nerve-tumor and nerve-immune interaction. Assessment of neurons a...

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“…LC is mainly categorized into supravocal cancer, infravocal cancer, and vocal cord cancer, and its pathogenesis has not yet been fully clarified. The disease usually presents no obvious special clinical symptoms rather than throat discomfort and hoarseness at the initial stage, resulting in the miss of the best treatment period in most patients [ 3 , 4 ]. The appearance of obvious dysphagia and dyspnea usually indicate disease progression to the advanced stage, at which time the mortality of patients has greatly increased, with over 50% of them dying in 5–10 years [ 5 ].…”

Section: Introductionmentioning

confidence: 99%