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1.
Nat Ecol Evol ; 6(1): 88-102, 2022 01.
Article in English | MEDLINE | ID: mdl-34949820

ABSTRACT

Genetic intra-tumour heterogeneity fuels clonal evolution, but our understanding of clinically relevant clonal dynamics remain limited. We investigated spatial and temporal features of clonal diversification in clear cell renal cell carcinoma through a combination of modelling and real tumour analysis. We observe that the mode of tumour growth, surface or volume, impacts the extent of subclonal diversification, enabling interpretation of clonal diversity in patient tumours. Specific patterns of proliferation and necrosis explain clonal expansion and emergence of parallel evolution and microdiversity in tumours. In silico time-course studies reveal the appearance of budding structures before detectable subclonal diversification. Intriguingly, we observe radiological evidence of budding structures in early-stage clear cell renal cell carcinoma, indicating that future clonal evolution may be predictable from imaging. Our findings offer a window into the temporal and spatial features of clinically relevant clonal evolution.


Subject(s)
Neoplasms , Clonal Evolution , Humans
2.
Anticancer Res ; 39(11): 6223-6230, 2019 Nov.
Article in English | MEDLINE | ID: mdl-31704851

ABSTRACT

BACKGROUND/AIM: To describe imaging features of head and neck soft-tissue sarcomas. PATIENTS AND METHODS: Patients with a diagnosis of head and neck sarcoma between 2011 and 2015 were reviewed. RESULTS: There were a total of 62 patients (24 female; median age=60 years). Most common sarcomas were angiosarcoma, undifferentiated pleomorphic sarcoma and sarcoma not otherwise specified. They were most commonly located in cranial and neck superficial soft tissues. Average tumour size at presentation was 45 mm. One patient had metastasis at presentation (rhabdomyosarcoma); two had nodal disease (rhabdomyosarcoma and angiosarcoma) and two tumours contained calcification (chondrosarcoma and synovial sarcoma). Four arose after prior radiotherapy. CONCLUSION: Unlike the more common diagnosis of squamous cell carcinoma, the majority of head and neck sarcomas present as large, solitary, superficial masses without lymph node enlargement. Identification of these features on imaging should raise suspicion of a sarcoma diagnosis, particularly in the setting of previous irradiation or genetic susceptibility.


Subject(s)
Head and Neck Neoplasms/diagnostic imaging , Sarcoma/diagnostic imaging , Adolescent , Adult , Aged , Aged, 80 and over , Calcinosis/diagnostic imaging , Female , Head and Neck Neoplasms/pathology , Hemangiosarcoma/diagnostic imaging , Hemangiosarcoma/pathology , Humans , Lymphatic Metastasis , Male , Middle Aged , Neoplasms, Radiation-Induced/diagnostic imaging , Neoplasms, Radiation-Induced/pathology , Retrospective Studies , Sarcoma/pathology , Tumor Burden , Young Adult
3.
Clin Med (Lond) ; 16(3): 235-9, 2016 Jun.
Article in English | MEDLINE | ID: mdl-27251912

ABSTRACT

Since the introduction of the European Working Time Directive, specialist registrars arguably contribute less to clinical service. The purpose of this study was to broadly quantify the service contribution of specialist registrars across a range of specialties and their value to an NHS organisation. A questionnaire-based survey of the clinical activities of specialist registrars in a large NHS trust was undertaken. Simple costing analyses of this -clinical activity were performed. Responses from 66 specialist registrars in 24 specialties showed an average of 51% overall clinical autonomy. Trainees attended an average of 2.7 outpatient clinics per week and spent 3.5 sessions a week doing ward work. Medical trainees took more referrals and attended more clinics. An analysis of costings suggested that surgical trainees might have generated around £700,000 income per year for the trust. Overall, specialist registrars make a substantial contribution to NHS clinical service and are cost-effective.


Subject(s)
Cost-Benefit Analysis , Efficiency, Organizational/economics , Efficiency, Organizational/statistics & numerical data , Medical Staff, Hospital/economics , Medical Staff, Hospital/statistics & numerical data , Humans , Surveys and Questionnaires
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