Substance and Energy Metabolism Associated with Neuroendocrine Regulation in Tumor Cells

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Ruiqin Han

State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences

Xiaochen Yuan

Chinese Academy of Medical Sciences and Peking Union Medical College

Qingbin Wu

Chinese Academy of Medical Sciences and Peking Union Medical College

Chenyu Sun

International Medical Department, the Second Affiliated Hospital of Anhui Medical University

Peixin Dong

Hokkaido University

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An increasing number of studies suggest that the abnormality of substance and energy metabolism of tumor cells is among the unsolved complex pathological mechanism problems in malignant tumor. The abnormal metabolism of substance and energy in tumor cells is not only the cause of occurrence and development of malignant tumors, but also the concrete embodiment of their pathological changes. Substance and energy metabolism of tumor cells largely depends on neuroendocrine regulation, so it is of great scientific and clinical significance to analyze its regulatory mechanism.

The imbalance of material and energy metabolism of tumor cells is one of the major causes for the occurrence and development of tumors, often regulated by neuroendocrine system. Therefore, neuroendocrine regulation plays an important role in tumorigenesis and development. For example, endocrine diseases such as diabetes and obesity are directly related to the occurrence and development of tumors.

This Research Topic aims to focus on the substance and energy metabolism and neuroendocrine regulation of tumor cells, and to study and explore the novel approach of cancer prevention, diagnosis, treatment, prognosis and drug development, in order to provide rich theoretical basis for the prevention, diagnosis, treatment, rehabilitation and control of malignant tumors.

We welcome studies of the diagnosis, prognostic markers screening and drug targets related to tumor endocrine regulation by big data analysis methods such as artificial intelligence, machine learning and bioinformatics, verifying and analyzing clinical significance by using clinical cohort. Also, we hope to see revelation of the neuroendocrine mechanism in tumor occurrence and development through experimental research.

We welcome submissions of the following subtopics, but not limited to:
• Latest research methods and progress related to substance and energy metabolism associated with neuroendocrine regulation in tumor cells
• Mining and validation of diagnostic and prognostic markers based on big data and clinical sample cohort
• Analysis of regulatory mechanism and regulatory network of key regulatory factors
• Construction and screening of endocrine regulation related tumor prediction model based on machine learning and artificial intelligence
• Multi omics analysis including transcriptome, proteome, metabolome, imageomics and pathomics

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Editors

Ruiqin Han

State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences

Xiaochen Yuan

Chinese Academy of Medical Sciences and Peking Union Medical College

Qingbin Wu

Chinese Academy of Medical Sciences and Peking Union Medical College

Chenyu Sun

International Medical Department, the Second Affiliated Hospital of Anhui Medical University

Peixin Dong

Hokkaido University

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Published In

Frontiers in Endocrinology

Cancer Endocrinology

Frontiers in Oncology

Cancer Endocrinology

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