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Li Z, Pan X, Cai YD. Identification of Type 2 Diabetes Biomarkers From Mixed Single-Cell Sequencing Data With Feature Selection Methods. Front Bioeng Biotechnol 2022; 10:890901. [PMID: 35721855 PMCID: PMC9201257 DOI: 10.3389/fbioe.2022.890901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 04/04/2022] [Indexed: 11/18/2022] Open
Abstract
Diabetes is the most common disease and a major threat to human health. Type 2 diabetes (T2D) makes up about 90% of all cases. With the development of high-throughput sequencing technologies, more and more fundamental pathogenesis of T2D at genetic and transcriptomic levels has been revealed. The recent single-cell sequencing can further reveal the cellular heterogenicity of complex diseases in an unprecedented way. With the expectation on the molecular essence of T2D across multiple cell types, we investigated the expression profiling of more than 1,600 single cells (949 cells from T2D patients and 651 cells from normal controls) and identified the differential expression profiling and characteristics at the transcriptomics level that can distinguish such two groups of cells at the single-cell level. The expression profile was analyzed by several machine learning algorithms, including Monte Carlo feature selection, support vector machine, and repeated incremental pruning to produce error reduction (RIPPER). On one hand, some T2D-associated genes (MTND4P24, MTND2P28, and LOC100128906) were discovered. On the other hand, we revealed novel potential pathogenic mechanisms in a rule manner. They are induced by newly recognized genes and neglected by traditional bulk sequencing techniques. Particularly, the newly identified T2D genes were shown to follow specific quantitative rules with diabetes prediction potentials, and such rules further indicated several potential functional crosstalks involved in T2D.
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Affiliation(s)
- Zhandong Li
- College of Biological and Food Engineering, Jilin Engineering Normal University, Changchun, China
| | - Xiaoyong Pan
- Key Laboratory of System Control and Information Processing, Institute of Image Processing and Pattern Recognition, Ministry of Education of China, Shanghai Jiao Tong University, Shanghai, China
| | - Yu-Dong Cai
- School of Life Sciences, Shanghai University, Shanghai, China
- *Correspondence: Yu-Dong Cai,
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Olatunde A, Nigam M, Singh RK, Panwar AS, Lasisi A, Alhumaydhi FA, Jyoti Kumar V, Mishra AP, Sharifi-Rad J. Cancer and diabetes: the interlinking metabolic pathways and repurposing actions of antidiabetic drugs. Cancer Cell Int 2021; 21:499. [PMID: 34535145 PMCID: PMC8447515 DOI: 10.1186/s12935-021-02202-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 09/06/2021] [Indexed: 12/18/2022] Open
Abstract
Cancers are regarded as one of the main causes of death and result in high health burden worldwide. The management of cancer include chemotherapy, surgery and radiotherapy. The chemotherapy, which involves the use of chemical agents with cytotoxic actions is utilised as a single treatment or combined treatment. However, these managements of cancer such as chemotherapy poses some setbacks such as cytotoxicity on normal cells and the problem of anticancer drug resistance. Therefore, the use of other therapeutic agents such as antidiabetic drugs is one of the alternative interventions used in addressing some of the limitations in the use of anticancer agents. Antidiabetic drugs such as sulfonylureas, biguanides and thiazolidinediones showed beneficial and repurposing actions in the management of cancer, thus, the activities of these drugs against cancer is attributed to some of the metabolic links between the two disorders and these includes hyperglycaemia, hyperinsulinemia, inflammation, and oxidative stress as well as obesity. Furthermore, some studies showed that the use of antidiabetic drugs could serve as risk factors for the development of cancerous cells particularly pancreatic cancer. However, the beneficial role of these chemical agents overweighs their detrimental actions in cancer management. Hence, the present review indicates the metabolic links between cancer and diabetes and the mechanistic actions of antidiabetic drugs in the management of cancers.
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Affiliation(s)
- Ahmed Olatunde
- Department of Biochemistry, Abubakar Tafawa Balewa University, Bauchi, 740272, Nigeria
| | - Manisha Nigam
- Department of Biochemistry, School of Life Sciences, Hemvati Nandan Bahuguna Garhwal University, Srinagar, Garhwal, Uttarakhand, 246174, India.
| | - Rahul Kunwar Singh
- Department of Microbiology, School of Life Sciences, Hemvati Nandan Bahuguna Garhwal University, Srinagar, Garhwal, Uttarakhand, 246174, India
| | - Abhaya Shikhar Panwar
- Department of Biochemistry, School of Life Sciences, Hemvati Nandan Bahuguna Garhwal University, Srinagar, Garhwal, Uttarakhand, 246174, India
| | - Abdulwahab Lasisi
- Maidstone and Tunbridge Wells NHS Trust, Hermitage Lane, Maidstone, Kent, ME169QQ, UK
| | - Fahad A Alhumaydhi
- Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah, Saudi Arabia
| | - Vijay Jyoti Kumar
- Department of Pharmaceutical Sciences, Hemvati Nandan Bahuguna Garhwal University, Garhwal, Srinagar, Uttarakhand, 246174, India
| | - Abhay Prakash Mishra
- Department of Pharmacology, School of Clinical Medicine, Faculty of Health Science, University of Free State, 205, Nelson Mandela Drive, Park West, Bloemfontein, 9300, South Africa
| | - Javad Sharifi-Rad
- Phytochemistry Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Eftekhari S, Montazeri H, Tarighi P. Synergistic anti-tumor effects of Liraglutide, a glucagon-like peptide-1 receptor agonist, along with Docetaxel on LNCaP prostate cancer cell line. Eur J Pharmacol 2020; 878:173102. [DOI: 10.1016/j.ejphar.2020.173102] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 03/27/2020] [Accepted: 04/06/2020] [Indexed: 12/29/2022]
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Pathological lesions and global DNA methylation in rat prostate under streptozotocin-induced diabetes and melatonin supplementation. Cell Biol Int 2018; 42:470-487. [DOI: 10.1002/cbin.10920] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2017] [Accepted: 12/17/2017] [Indexed: 12/14/2022]
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Tseng CH. Use of Insulin and Mortality from Breast Cancer among Taiwanese Women with Diabetes. J Diabetes Res 2015; 2015:678756. [PMID: 26171401 PMCID: PMC4480938 DOI: 10.1155/2015/678756] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2015] [Accepted: 06/08/2015] [Indexed: 12/18/2022] Open
Abstract
Background. To evaluate whether insulin use was predictive for mortality from breast cancer in Taiwanese women with diabetes mellitus. Methods. A total of 48,880 diabetic women were followed up to determine the mortality from breast cancer during 1995-2006. Cox models were used, considering the following independent variables: age, sex, diabetes type, diabetes duration, body mass index, smoking, insulin use, and area of residence. Insulin use was also considered for its duration of use at cutoffs of 3 years and 5 years. Results. Age was a significant predictor in all analyses. The multivariable-adjusted hazard ratio (95% confidence interval, P value) for insulin use without considering the duration of use was not statistically significant (1.339 [0.782-2.293, P = 0.2878]). Compared with nonusers, insulin users showed the following adjusted hazard ratios for insulin use <3 years, ≥3 years, <5 years, and ≥5 years: 0.567 (0.179-1.791, P = 0.3333), 2.006 (1.102-3.653, P = 0.0228), 1.045 (0.505-2.162, P = 0.9048), and 1.899 (0.934-3.860, P = 0.0763). Conclusions. Insulin use (mainly human insulin) for ≥3 years may be associated with a higher risk of breast cancer mortality.
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Affiliation(s)
- Chin-Hsiao Tseng
- Department of Internal Medicine, National Taiwan University College of Medicine, Taipei, Taiwan
- Division of Endocrinology and Metabolism, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- Division of Environmental Health and Occupational Medicine, National Health Research Institutes, Zhunan, Taiwan
- *Chin-Hsiao Tseng:
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Independent and joint effect of type 2 diabetes and gastric and hepatobiliary diseases on risk of pancreatic cancer risk: 10-year follow-up of population-based cohort. Br J Cancer 2014; 111:2180-6. [PMID: 25275365 PMCID: PMC4260037 DOI: 10.1038/bjc.2014.525] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2014] [Revised: 08/29/2014] [Accepted: 09/07/2014] [Indexed: 12/13/2022] Open
Abstract
Background: Type 2 diabetes mellitus, gastric and hepatobiliary comorbidities, and cancer share common risk factors: for example, tobacco, obesity, physical inactivity, high calorie intake, and metabolic disorders. Prior studies find type 2 diabetes and gastric and hepatobiliary comorbidities heightening risk of pancreatic cancer. Yet joint association of type 2 diabetes mellitus and gastric and hepatobiliary comorbidities on pancreatic cancer risk has not been assessed. Methods: This study rates independent/joint effects of type 2 diabetes as well as gastric and hepatobiliary comorbidity on pancreatic cancer risk for a retrospective population-based cohort of 166 850 type 2 diabetics identified in 1997–1998 and followed for 10–11 years, comparing their cancer incidence with that of 166 850 non-diabetics matched for age, gender, and locale. Time-dependent Cox's proportional hazards model evaluted joint association of type 2 diabetes and chronic conditions on pancreatic cancer risk. Results: A total of 1178 subjects were newly diagnosed with pancreatic cancer during follow-up, with incidence rates of 0.49 per 1000 person-years in type 2 diabetes and 0.26 per 1000 person-years in the non-diabetics. We observed greater magnitude of hazard ratios (HRs) of pancreatic cancer for patients with type 2 diabetes along with acute alcoholic hepatitis, acute pancreatitis, cholecystitis, and gastric ulcer compared with patients without type 2 diabetes or counterpart comorbidity (HR: 1.36, 95% confidence interval (CI): 1.19–1.56; 1.74, 1.23–2.45; 9.18, 7.44–11.33; and 2.31, 1.98–2.70, respectively). Main effects of type 2 diabetes were all statistically with narrow 95% CI and remained similar across risk stratification with various comorbidities: range 1.59–1.80. Conclusions: Our study demonstrates that pre-existing type 2 diabetes, acute alcoholic hepatitis, acute pancreatitis, cholecystitis, and gastric ulcer independently or jointly predict subsequent pancreatic cancer risk. Clinicians must recognise burden of these gastric and hepatobiliary comorbidities and keep clinically vigilant for their diagnosis.
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Garg SK, Maurer H, Reed K, Selagamsetty R. Diabetes and cancer: two diseases with obesity as a common risk factor. Diabetes Obes Metab 2014; 16:97-110. [PMID: 23668396 PMCID: PMC3904746 DOI: 10.1111/dom.12124] [Citation(s) in RCA: 176] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2012] [Revised: 02/13/2013] [Accepted: 04/30/2013] [Indexed: 12/24/2022]
Abstract
There is a growing body of evidence to support a connection between diabetes (predominantly type 2), obesity and cancer. Multiple meta-analyses of epidemiological data show that people with diabetes are at increased risk of developing many different types of cancers, along with an increased risk of cancer mortality. Several pathophysiological mechanisms for this relationship have been postulated, including insulin resistance and hyperinsulinaemia, enhanced inflammatory processes, dysregulation of sex hormone production and hyperglycaemia. In addition to these potential mechanisms, a number of common risk factors, including obesity, may be behind the association between diabetes and cancer. Indeed, obesity is associated with an increased risk of cancer and diabetes. Abdominal adiposity has been shown to play a role in creating a systemic pro-inflammatory environment, which could result in the development of both diabetes and cancer. Here, we examine the relationship between diabetes, obesity and cancer, and investigate the potential underlying causes of increased cancer risk in individuals with diabetes. Current treatment recommendations for reducing the overall disease burden are also explored and possible areas for future research are considered.
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Affiliation(s)
- S K Garg
- Barbara Davis Center for Diabetes, University of Colorado Denver, Aurora, CO, USA; Diabetes Technology and Therapeutics, New Rochelle, NY, USA; Medicine and Pediatrics, University of Colorado Denver, Aurora, CO, USA
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Shen CC, Hu YW, Hu LY, Hung MH, Su TP, Huang MW, Tsai CF, Ou SM, Yen SH, Tzeng CH, Chiou TJ, Chen TJ, Liu CJ. The risk of cancer in patients with generalized anxiety disorder: a nationwide population-based study. PLoS One 2013; 8:e57399. [PMID: 23460851 PMCID: PMC3584040 DOI: 10.1371/journal.pone.0057399] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2012] [Accepted: 01/18/2013] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVE To evaluate the risk of cancer among patients with generalized anxiety disorder (GAD) in a nationwide population-based dataset. METHODS We recruited newly-diagnosed GAD patients aged 20 years or older without antecedent cancer from the Taiwan National Health Insurance Research database between 2000-2010. Standardized incidence ratios (SIRs) of cancers were calculated in GAD patients, and the subgroup of GAD patients diagnosed by psychiatric specialists. RESULTS A total of 559 cancers developed among 19,793 GAD patients with a follow-up of 89,485 person-years (median follow-up of 4.34 years), leading to a significantly increased SIR of 1.14 [95% confidence interval (CI) 1.05-1.24]. Male GAD patients had a significantly increased SIR overall (1.30, 95% CI 1.15-1.46) and for lung and prostate cancer (1.77, 95% CI 1.33-2.30 and 2.17, 95% CI 1.56-2.93, respectively). Patients over 80 years of age also had a significantly increased SIR (1.56, 95% CI 1.25-1.92), especially in males. However, psychiatrist-diagnosed GAD patients did not show increased cancer risk relative to the general population, perhaps due to having fewer physical comorbidities than non-psychiatrist-diagnosed GAD patients. CONCLUSION This study found that overall cancer risk is elevated among patients with GAD. The risk of lung and prostate cancer also increased in male patients with GAD. This increased cancer risk may be due to physical comorbidities and surveillance bias. Further prospective study is necessary to confirm these findings.
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Affiliation(s)
- Cheng-Che Shen
- Department of Psychiatry, Chiayi Branch, Taichung Veterans General Hospital, Chiayi, Taiwan
| | - Yu-Wen Hu
- School of Medicine, National Yang-Ming University, Taipei, Taiwan
- Cancer Center, Taipei Veterans General Hospital, Taipei, Taiwan
- Institute of Public Health, National Yang-Ming University, Taipei, Taiwan
| | - Li-Yu Hu
- Department of Psychiatry, Yuli Veterans Hospital, Hualian, Taiwan
| | - Man-Hsin Hung
- Division of Hematology and Oncology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Tung-Ping Su
- School of Medicine, National Yang-Ming University, Taipei, Taiwan
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Min-Wei Huang
- Department of Psychiatry, Chiayi Branch, Taichung Veterans General Hospital, Chiayi, Taiwan
| | - Chia-Fen Tsai
- School of Medicine, National Yang-Ming University, Taipei, Taiwan
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Shuo-Ming Ou
- Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Sang-Hue Yen
- School of Medicine, National Yang-Ming University, Taipei, Taiwan
- Cancer Center, Taipei Veterans General Hospital, Taipei, Taiwan
- Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan
| | - Cheng-Hwai Tzeng
- School of Medicine, National Yang-Ming University, Taipei, Taiwan
- Division of Hematology and Oncology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Tzeon-Jye Chiou
- School of Medicine, National Yang-Ming University, Taipei, Taiwan
- Division of Hematology and Oncology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Tzeng-Ji Chen
- Department of Family Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Chia-Jen Liu
- School of Medicine, National Yang-Ming University, Taipei, Taiwan
- Institute of Public Health, National Yang-Ming University, Taipei, Taiwan
- Division of Hematology and Oncology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- Department of Internal Medicine, National Yang-Ming University Hospital, Yilan, Taiwan
- * E-mail:
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