Publications by authors named "C Allasia"

We report a 511-keV photon flux enhancement that was observed inside a thundercloud and is a result of positron annihilation. The observation was made with the In-flight Lightning Damage Assessment System (ILDAS) on board of an A340 test aircraft. The aircraft was intentionally flying through a thunderstorm at 12-km altitude over Northern Australia in January 2016.

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An Airbus A340 aircraft flew over Northern Australia with the In-Flight Lightning Damage Assessment System (ILDAS) installed onboard. A long-duration gamma ray emission was detected. The most intense emission was observed at 12 km altitude and lasted for 20 s.

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Objective: The present study was undertaken to analyze the impact of epigenetic alterations with a main focus on nuclear area, aneuploidy, hyperploidy, and proliferation in 70 ovarian cancer specimens.

Methods: Morphometric changes and somatic chromosomal ploidy status were assessed by Feulgen spectrophotometry. DNA-hypomethylation of LINE1 repeats was analyzed by means of MethyLight PCR, and methylation levels of satellite 2 (Sat2) and satellite alpha (Satα) DNA sequences in chromosome 1 were measured by Southern blot analysis.

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We examined a series of 667 patients with node-negative breast carcinomas in order to identify prognostic immunohistochemical molecular signatures for the prediction of early metastasis, and potential new therapeutic targets. We used a standardized quantitative immunocytochemical approach with 37 antibodies, based on high-throughput tissue microarrays and image analysis, and analyzed the results with respect to metastatic status after a mean follow-up of 86 months. Complete data were obtained for 586 patients.

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Article Synopsis
  • The study aimed to identify an immunohistochemical signature that predicts early metastasis risk in node-negative breast carcinomas, which could help develop personalized therapies.
  • Through high-throughput densitometry of 64 markers on tissue samples from 667 patients, the research established a ten-marker signature that effectively predicted patient outcomes with high sensitivity (93.7%) and specificity (90.9%).
  • The findings suggest that this quantitative profiling could guide treatment decisions, potentially sparing some patients from aggressive chemotherapy while informing tailored therapeutic strategies.
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