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Marc Giovannini

Researcher at Aix-Marseille University

Publications -  311
Citations -  12534

Marc Giovannini is an academic researcher from Aix-Marseille University. The author has contributed to research in topics: Endoscopic ultrasound & Medicine. The author has an hindex of 55, co-authored 278 publications receiving 10947 citations. Previous affiliations of Marc Giovannini include Université libre de Bruxelles.

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Endoscopic ultrasound-guided biliodigestive drainage is a good alternative in patients with unresectable cancer.

TL;DR: EUS is a good alternative for patients with malignant obstruction of the biliary tract in whom other drainage methods have failed and one patient had a complication that required re-intervention and another patient developed biloma.
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Endoscopic ultrasound: Elastographic lymph node evaluation

TL;DR: The current applications of elastography in lymph nodes (LNs) assessment by endoscopic ultrasonography will be further discussed in this paper, with a review of the literature and future perspectives.
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Transcriptomic Analysis Predicts Survival and Sensitivity to Anticancer Drugs of Patients with a Pancreatic Adenocarcinoma

TL;DR: Using an efficient strategy, transcriptomic analysis could predict the sensitivity to anticancer drugs and the clinical outcome of patients with PDAC and was able to discriminate between patients with long- and short-term survival corresponding to patients with moderately or poorly differentiated PDAC tumors.
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Loss of Bcl-2 expression in colon cancer: a prognostic factor for recurrence in stage II colon cancer.

TL;DR: The loss of Bcl-2 expression appears to be correlated with increase in number of relapses in the stage II colon cancers and could be a potential useful additional histo-prognostic marker in therapy decision making.
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Pancreatic endocrine tumors: a large single-center experience.

TL;DR: A large single-center experience with PETs and the use of endoscopic ultrasound (EUS) and a cancer staging system (TNM) is described, showing the EUS-FNA has a high accuracy for diagnosing PETs.