Literature DB >> 27445988

Editorial: Systems Biological Aspects of Pituitary Tumors.

Xianquan Zhan1, Dominic M Desiderio2.   

Abstract

Entities:  

Keywords:  calcium–phosphate homeostasis; chemokine network; molecular networks; omics; pituitary adenoma; systems biology

Year:  2016        PMID: 27445988      PMCID: PMC4928041          DOI: 10.3389/fendo.2016.00086

Source DB:  PubMed          Journal:  Front Endocrinol (Lausanne)        ISSN: 1664-2392            Impact factor:   5.555


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The Editorial on the Research Topic Pituitary adenomas are a category of neoplasms with a high degree of heterogeneity that occur in the central regulatory organ pituitary, which plays important roles in the hypothalamus–pituitary-targeted organ axis systems that impact on important physiological functions of human body (1–3). Rapidly developed omics and systems biology (4–6) impact on treatment of pituitary adenomas and gradually change the paradigms from the traditional single-factor strategy to a multi-parameter systematic strategy. A pituitary adenoma is a complex, chronic, and whole-body disease that alters the genome, transcriptome, proteome, and metabolome and involves multiple factors, processes, and consequences (7–9). Pituitary adenomas gradually change in the model of predictive screening, diagnosis, and prognostic assessment of pituitary adenomas that previously only depended on changes of serum single-hormone change and pituitary imaging, and in the therapeutic model of cancer from general radiotherapy and chemotherapy to a personalized strategy (8, 9). This present issue focuses on systems biological aspects of pituitary adenomas, which contains four topics. (i) The first topic addressed vitamin D status and calciumphosphate homeostasis in acromegaly patients (Halupczok-Żyła et al.). Vitamin D deficiency and alteration in calciumphosphate balance are associated with a wide spectrum of diseases, such as cancer, diabetes, cardiovascular disease, and respiratory disease. Data demonstrate that acromegaly patients are at the higher risk of vitamin D deficiency and have a tendency to a lower level of calcium and higher level of inorganic phosphate. Data suggest the importance of inorganic calciumphosphate homeostasis in the pathogenesis of acromegaly patients (growth hormone pituitary adenomas) from the systemic view point. (ii) The second topic addressed the alteration in the chemokine network in pituitary adenomas from a systemic view (Grizzi et al.). Chemokines are a category of inflammatory mediators that exert their roles through typical and atypical chemokine receptor signaling pathways. An alteration of chemokines and receptors is associated with cancer and inflammatory diseases. The chemokine network is proposed as the target of biomarker and new therapeutic approach for pituitary adenomas. (iii) The third topic addressed the proteomic variations in pituitary adenomas (Zhan and Wang). Proteomics is the key component of functional genomics and systems biology. Much progress has been achieved in pituitary adenoma proteomics to expand and enrich the systems biology analysis of pituitary adenomas. This topic emphasized the significance of variations in proteome and protein molecular networks for personalized and precise studies of pituitary adenomas. (iv) The fourth topic focused on molecular network variations in different subtypes of non-functional pituitary adenomas (Zhan and Long). That topic emphasized the integrative molecular networks derived from multiple omics data at the genome, transcriptome, proteome, peptidome, and metabolome levels, and on their variations in different subtypes of non-functional pituitary adenomas. These studies will benefit discovery of effective and reliable biomarkers and therapeutic targets for personalized and precise studies of highly heterogeneous non-functional pituitary adenomas. It is clear that the systems biological aspects of pituitary adenomas cover a very wide range from systemic concepts to analytic methods; from genome, transcriptome, proteome, and metabolome to interactome; from single omics to integrative omics; from panel analysis to molecular network analysis; from genetic feature to phenotype; and from common features to individual characteristics, to investigate the diversity of pituitary adenomas that include functional and non-functional pituitary adenomas and their subtypes (10–15). It must be clearly mentioned that this issue contains only a limited fraction of the very important systems biological aspects of pituitary adenomas. This research topic serves as a modest spur to induce researchers who study systems biology strategies to come forward with its valuable contributions to research and clinical practice of pituitary adenomas. From the point of view of systematic strategies in pituitary adenomas, it is necessary for future studies to systematically investigate variations in the genome, transcriptome, proteome, peptidome, and metabolome in pituitary adenoma tissue and body-fluids (cerebrospinal fluid, CSF; serum/plasma), and especially for different subtypes of pituitary adenomas (7, 9). Systems biology approaches will be used to integrate all experimental data and all clinical information of an individual and to propose corresponding molecular networks specific to a pituitary adenoma in order to achieve efficient prediction screening, early stage diagnosis, prognostic assessment, and individualized and precise prevention and therapy (16, 17). Future issues will collect different levels of omics studies, especially the integrative omics studies together with genetics and clinical information with developed advanced computational biology approaches.

Author Contributions

All authors listed have made substantial, direct, and intellectual contribution to the work and approved it for publication.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
  16 in total

1.  Systems biology: integrating technology, biology, and computation.

Authors:  Leroy Hood
Journal:  Mech Ageing Dev       Date:  2003-01       Impact factor: 5.432

2.  Tumor heterogeneity and personalized medicine.

Authors:  Dan L Longo
Journal:  N Engl J Med       Date:  2012-03-08       Impact factor: 91.245

Review 3.  Pathogenesis of pituitary tumors.

Authors:  Shlomo Melmed
Journal:  Nat Rev Endocrinol       Date:  2011-03-22       Impact factor: 43.330

4.  A new initiative on precision medicine.

Authors:  Francis S Collins; Harold Varmus
Journal:  N Engl J Med       Date:  2015-01-30       Impact factor: 91.245

5.  Identification of the proteomic variations of invasive relative to non-invasive non-functional pituitary adenomas.

Authors:  Xianquan Zhan; Dominic M Desiderio; Xiaowei Wang; Xiaohan Zhan; Tianyao Guo; Maoyu Li; Fang Peng; Xiaoyu Chen; Haiyan Yang; Pengfei Zhang; Xuejun Li; Zhuchu Chen
Journal:  Electrophoresis       Date:  2014-08       Impact factor: 3.535

6.  Proteomic and functional profiles of a follicle-stimulating hormone positive human nonfunctional pituitary adenoma.

Authors:  Xiaowei Wang; Tianyao Guo; Fang Peng; Ying Long; Yun Mu; Haiyan Yang; Ningrong Ye; Xuejun Li; Xianquan Zhan
Journal:  Electrophoresis       Date:  2015-06       Impact factor: 3.535

Review 7.  Mechanisms for pituitary tumorigenesis: the plastic pituitary.

Authors:  Shlomo Melmed
Journal:  J Clin Invest       Date:  2003-12       Impact factor: 14.808

8.  EPMA position paper in cancer: current overview and future perspectives.

Authors:  Godfrey Grech; Xianquan Zhan; Byong Chul Yoo; Rostyslav Bubnov; Suzanne Hagan; Romano Danesi; Giorgio Vittadini; Dominic M Desiderio
Journal:  EPMA J       Date:  2015-04-15       Impact factor: 6.543

9.  The use of variations in proteomes to predict, prevent, and personalize treatment for clinically nonfunctional pituitary adenomas.

Authors:  Xianquan Zhan; Dominic M Desiderio
Journal:  EPMA J       Date:  2010-06-29       Impact factor: 6.543

10.  Multi-parameter systematic strategies for predictive, preventive and personalised medicine in cancer.

Authors:  Rong Hu; Xiaowei Wang; Xianquan Zhan
Journal:  EPMA J       Date:  2013-01-22       Impact factor: 6.543

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  6 in total

1.  Proteomic Analysis of the Human Anterior Pituitary Gland.

Authors:  Soujanya D Yelamanchi; Ankur Tyagi; Varshasnata Mohanty; Pinaki Dutta; Márta Korbonits; Sandip Chavan; Jayshree Advani; Anil K Madugundu; Gourav Dey; Keshava K Datta; M Rajyalakshmi; Nandini A Sahasrabuddhe; Abhishek Chaturvedi; Amit Kumar; Apabrita Ayan Das; Dhiman Ghosh; Gajendra M Jogdand; Haritha H Nair; Keshav Saini; Manoj Panchal; Mansi Ashwinsinh Sarvaiya; Soundappan S Mohanraj; Nabonita Sengupta; Priti Saxena; Pradeep Annamalai Subramani; Pradeep Kumar; Rakhil Akkali; Saraswatipura Vishwabrahmachar Reshma; Ramachandran Sarojini Santhosh; Sangita Rastogi; Sudarshan Kumar; Susanta Kumar Ghosh; Vamshi Krishna Irlapati; Anand Srinivasan; Bishan Das Radotra; Premendu P Mathur; G William Wong; Parthasarathy Satishchandra; Aditi Chatterjee; Harsha Gowda; Anil Bhansali; Akhilesh Pandey; Susarla K Shankar; Anita Mahadevan; T S Keshava Prasad
Journal:  OMICS       Date:  2018-12

2.  Integration of quantitative phosphoproteomics and transcriptomics revealed phosphorylation-mediated molecular events as useful tools for a potential patient stratification and personalized treatment of human nonfunctional pituitary adenomas.

Authors:  Dan Liu; Jiajia Li; Na Li; Miaolong Lu; Siqi Wen; Xianquan Zhan
Journal:  EPMA J       Date:  2020-08-13       Impact factor: 6.543

3.  Editorial: Molecular Network Study of Pituitary Adenomas.

Authors:  Xianquan Zhan; Dominic M Desiderio
Journal:  Front Endocrinol (Lausanne)       Date:  2020-02-18       Impact factor: 5.555

4.  Multiomics-Based Signaling Pathway Network Alterations in Human Non-functional Pituitary Adenomas.

Authors:  Ying Long; Miaolong Lu; Tingting Cheng; Xiaohan Zhan; Xianquan Zhan
Journal:  Front Endocrinol (Lausanne)       Date:  2019-12-17       Impact factor: 5.555

Review 5.  Metabolomics-A Promising Approach to Pituitary Adenomas.

Authors:  Oana Pînzariu; Bogdan Georgescu; Carmen E Georgescu
Journal:  Front Endocrinol (Lausanne)       Date:  2019-01-17       Impact factor: 5.555

6.  Label-free quantitative identification of abnormally ubiquitinated proteins as useful biomarkers for human lung squamous cell carcinomas.

Authors:  Miaolong Lu; Wei Chen; Wei Zhuang; Xianquan Zhan
Journal:  EPMA J       Date:  2020-01-04       Impact factor: 6.543

  6 in total

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