Stephen A. Mangar

Dr. Stephen A. Mangar

Department of Clinical Oncology, Imperial College Healthcare NHS Trust, Charing Cross Hospital, London W6 8RF, UK
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Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 July 2023 in Cancers
Verified
Journal Article
Open access
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SMStephen A. Mangar
Stephen A. Mangar
MAMonica Rao Abbadasari
Monica Rao Abbadasari
ACAlessandro Carollo
Alessandro Carollo
GEGianluca Esposito
Gianluca Esposito
HAHashim Uddin Ahmed
Hashim Uddin Ahmed
DDDagmara Dimitriou
Dagmara Dimitriou
Prostate cancer is the most commonly diagnosed cancer in the United Kingdom. While androgen-deprivation therapy is the most common treatment for prostate cancer, patients undergoing this treatment typically experience side effects in terms of sleep disturbances. However, the relation between prostate cancer and sleep and the way in which sleep interventions may benefit oncological patients is underinvestigated in the literature. The current study aims to review in a data-driven approach the existing literature on the field of prostate cancer and sleep to identify impactful documents and major thematic domains. To do so, a sample of 1547 documents was downloaded from Scopus, and a document co-citation analysis was conducted on CiteSpace software. In the literature, 12 main research domains were identified as well as 26 impactful documents. Research domains were examined regarding the link between prostate cancer and sleep, by taking into account variations in hormonal levels. A major gap in the literature was identified in the lack of use of objective assessment of sleep quality in patients with prostate cancer.

21 July 2023 in Healthcare
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ACAlessandro Carollo
Alessandro Carollo
PZPengyue Zhang
Pengyue Zhang
PYPeiying Yin
Peiying Yin
AJAisha Jawed
Aisha Jawed
DDDagmara Dimitriou
Dagmara Dimitriou
SMStephen A. Mangar
Stephen A. Mangar
Sleep and diet are essential for maintaining physical and mental health. These two factors are closely intertwined and affect each other in both timing and quality. Eating disorders, including anorexia nervosa and bulimia nervosa, are often accompanied by different sleep problems. In modern society, an increasing number of studies are being conducted on the relationship between eating disorders and sleep. To gain a more comprehensive understanding of this field and highlight influential papers as well as the main research domains in this area, a scientometric approach was used to review 727 publications from 1971 to 2023. All documents were retrieved from Scopus through the following string “TITLE-ABS ((“sleep” OR “insomnia”) AND (“anorexia nervosa” OR “bulimia nervosa” OR “binge eating” OR “eating disorder*”) AND NOT “obes*”) AND (LIMIT-TO (LANGUAGE, “English”))”. A document co-citation analysis was applied to map the relationship between relevant articles and their cited references as well as the gaps in the literature. Nine publications on sleep and eating disorders were frequently cited, with an article by Vetrugno and colleagues on nocturnal eating being the most impactful in the network. The results also indicated a total of seven major thematic research clusters. The qualitative inspection of clusters strongly highlights the reciprocal influence of disordered eating and sleeping patterns. Researchers have modelled this reciprocal influence by taking into account the role played by pharmacological (e.g., zolpidem, topiramate), hormonal (e.g., ghrelin), and psychological (e.g., anxiety, depression) factors, pharmacological triggers, and treatments for eating disorders and sleep problems. The use of scientometric perspectives provides valuable insights into the field related to sleep and eating disorders, which can guide future research directions and foster a more comprehensive understanding of this important area.

30 March 2018 in Clinical and Translational Radiation Oncology
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ACAmarnath Challapalli
Amarnath Challapalli
SESteve M. Edwards
Steve M. Edwards
PAPaul Abel
Paul Abel
SMStephen A. Mangar
Stephen A. Mangar
The impact of vasomotor symptoms (VMS) occurring in prostate cancer (PC) patients whilst on androgen deprivation therapy (ADT) has not been extensively researched. This longitudinal study sought to assess the VMS and identify any predictive factors. Data from 250 PC patients on ADT were prospectively evaluated between January 10 and August 13 using a physician-directed questionnaire, to assess the impact of VMS. Parameters including height, weight, body surface area (BSA), body mass index (BMI), duration/type of ADT, co-morbidities and ethnicity were recorded. Fifty (20%) men reported no toxicity, whilst 171 (68.4%), and 29 (11.6%) reported mild to moderate and severe symptoms, respectively. Drenching sweats and hot flashes were common, and coexisted with sleep disturbances and fatigue. Patients with severe toxicity were younger (73 vs. 77 yrs; p = 0.04), had higher BMI (28 vs. 26; p = 0.02), and higher BSA (1.99 vs. 1.90; p = 0.04), when compared with those experiencing no toxicity. On multivariate analysis, younger age was predictive of sweats and hot flushes, whilst Afro-Caribbean men were twice as likely to experience sweats (OR 2.03, p = 0.05). The short-term side-effect profile of ADT for prostate cancer was favourable, though debilitating VMS can occur in a significant minority of cases. Younger age and higher BMI predicted for severe toxicity but not the duration of ADT.

30 April 2022 in Healthcare
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SMShalini Mondal
Shalini Mondal
SESteve Edwards
Steve Edwards
EWErik Wibowo
Erik Wibowo
HAHashim Ahmed
Hashim Ahmed
RWRichard Wassersug
Richard Wassersug
SMStephen A. Mangar
Stephen A. Mangar
Prostate cancer patients may experience disturbed sleep as a result of their diagnosis or treatment. This study sought to evaluate disturbed sleep and excessive daytime sleepiness in newly diagnosed patients and those receiving androgen deprivation therapy (ADT). This study was conducted with 74 patients. Subjective data using the Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS) and actigraphy data on ADT/ADT-naïve patients were collected. The prevalence of poor sleep quality, determined from PSQI and ESS scores, was 50% and 16.7% respectively. Those on ADT (n = 20) had poorer sleep quality as determined by significantly higher PSQI scores (70 vs. 40% scoring > 5) and were more likely to have poor sleep quality, sleep latency, and sleep efficiency than ADT-naïve patients (n = 40). Actigraphy data showed that ADT patients slept significantly longer (7.7 vs. 6.8 h), experienced a higher Fragmentation Index (48.3 vs. 37.4%), and had longer daytime nap duration (64.1 vs. 45.2 min) than ADT-naïve patients. The use of objective measures such as actigraphy in the clinical arena is recommended and may be used as a valuable tool for research into sleep assessment in prostate cancer patients.

8 April 2025 in Biosensors and Bioelectronics
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Journal Article
Open access
JBJoseph Broomfield
Joseph Broomfield
MKMelpomeni Kalofonou
Melpomeni Kalofonou
CGCostanza Gulli
Costanza Gulli
SPSue M. Powell
Sue M. Powell
RFRayzel C. Fernandes
Rayzel C. Fernandes
PGPantelis Georgiou
Pantelis Georgiou
Prostate cancer (PCa) is a highly prevalent disease, causing the second largest amount of male cancer deaths worldwide. Currently, the prostate specific antigen (PSA) test remains the standard serum prognostic and diagnostic monitoring biomarker but it lacks specificity and sensitivity. PSA testing can lead to invasive biopsies which can result in under detection of clinically significant disease and potential overtreatment of indolent disease. Promising circulating biomarkers could facilitate less invasive and more accurate tests, but present challenges in robust quantitation and deployment in clinical settings. This work presents the detection of circulating YAP1 nucleic acid, androgen receptor (AR-FL) and AR-V7 mRNA for PCa prognostics in blood plasma from PCa patients. Sensitive detection of circulating YAP1 nucleic acid, AR-FL and AR-V7 mRNA extracted from PCa clinical samples was achieved with a reverse transcription loop-mediated isothermal amplification (RT-LAMP) assay. Optimisation of mRNA extraction methodologies for reliable detection of circulating mRNA for RT-LAMP and RT-qPCR detection took place. Multiplex testing of circulating AR-FL mRNA and YAP1 nucleic acid on an ISFET Lab-on-Chip platform was readily achieved with bio-electronic signal detection taking place within 15 min. Detection of AR-V7 and AR-FL mRNA could also be achieved simultaneously with the handheld device. Evaluation of clinical data indicated that circulating YAP1 nucleic acid presence in extracted RNA from the blood plasma of patients correlated with more advanced clinical cancer staging (p = 0.043) and PSA at diagnosis (p = 0.035). The work presents potential for Point-of-Care detection of circulating mRNA from clinical samples for PCa prognostics.