5 research outputs found

    El anillo ecuestre áureo de Molata de Casa Vieja, Almaciles (Puebla de Don Fadrique, Granada)

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    We here document an Iberian gold ring, which we have recently been able to study. It was found at some time between the late 1960s and mid-1980s, near Molata de Casa Vieja, one of the most important oppida in Alta Andalucía. The engraved bezel is of a schematic style, and derives from the iconic Iberian rider, ubiquitous on the pre–Roman coinage. It adds a new representation to this already rich corpus. The image of the rider was frequently used by the Iberian elite between the 3rd and 2nd centuries BC. The ring is now par t of the collection of the Archaeological Museum of Murcia.Con este artículo se pretende estudiar y documentar un anillo ibérico de oro al que hemos tenido acceso hace poco. Se trata de un hallazgo descubierto entre finales de la década de 1960 y mediados de 1980 en el entorno de Molata de Casa Vieja, uno de los oppida más destacados de la Alta Andalucía. El anillo es de tipo esquemático y conforma una nueva representación entre el rico elenco conocido, a semejanza del icónico jinete ibérico, muy presente en amonedaciones prerromanas. Esta iconografía es recurrente en la élite ibérica entre los siglos III-II a.C. Recientemente el anillo áureo ha entrado a formar parte de los fondos del Museo Arqueológico de Murcia

    El anillo ecuestre áureo de Molata de Casa Vieja, Almaciles (Puebla de Don Fadrique, Granada)

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    We here document an Iberian gold ring, which we have recently been able to study. It was found at some time between the late 1960s and mid-1980s, near Molata de Casa Vieja, one of the most important oppida in Alta Andalucía. The engraved bezel is of a schematic style, and derives from the iconic Iberian rider, ubiquitous on the pre–Roman coinage. It adds a new representation to this already rich corpus. The image of the rider was frequently used by the Iberian elite between the 3rd and 2nd centuries BC. The ring is now par t of the collection of the Archaeological Museum of Murcia.Con este artículo se pretende estudiar y documentar un anillo ibérico de oro al que hemos tenido acceso hace poco. Se trata de un hallazgo descubierto entre finales de la década de 1960 y mediados de 1980 en el entorno de Molata de Casa Vieja, uno de los oppida más destacados de la Alta Andalucía. El anillo es de tipo esquemático y conforma una nueva representación entre el rico elenco conocido, a semejanza del icónico jinete ibérico, muy presente en amonedaciones prerromanas. Esta iconografía es recurrente en la élite ibérica entre los siglos III-II a.C. Recientemente el anillo áureo ha entrado a formar parte de los fondos del Museo Arqueológico de Murcia

    Systematic review and meta-analysis of the impact of tumour budding in colorectal cancer.

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    BACKGROUND Tumour budding is a histological finding in epithelial cancers indicating an unfavourable phenotype. Previous studies have demonstrated that it is a negative prognostic indicator in colorectal cancer (CRC), and has been proposed as an additional factor to incorporate into staging protocols. METHODS A systematic review of papers until March 2016 published on Embase, Medline, PubMed, PubMed Central and Cochrane databases pertaining to tumour budding in CRC was performed. Study end points were the presence of lymph node metastases, recurrence (local and distal) and 5-year cancer-related death. RESULTS A total of 7821 patients from 34 papers were included, with a mean rate of tumour budding of 36.8±16.5%. Pooled analysis suggested that specimens exhibiting tumour budding were significantly associated with lymph node positivity (OR 4.94, 95% CI 3.96-6.17, P<0.00001), more likely to develop disease recurrence over the time period (OR 5.50, 95% CI 3.64-8.29, P<0.00001) and more likely to lead to cancer-related death at 5 years (OR 4.51, 95% CI 2.55-7.99, P<0.00001). CONCLUSIONS Tumour budding in CRC is strongly predictive of lymph node metastases, recurrence and cancer-related death at 5 years, and its incorporation into the CRC staging algorithm will contribute to more effective risk stratification
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