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Fabrice Barlesi

Researcher at Aix-Marseille University

Publications -  666
Citations -  36214

Fabrice Barlesi is an academic researcher from Aix-Marseille University. The author has contributed to research in topics: Lung cancer & Medicine. The author has an hindex of 64, co-authored 582 publications receiving 25403 citations. Previous affiliations of Fabrice Barlesi include Institut Gustave Roussy & Nord University.

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1070P Previous viral infections assessed by pan-virus phage immunoprecipitation sequencing (PhIP-Seq) predict response to immune checkpoint blockers (ICBs) in non-small cell lung cancer (NSCLC)

TL;DR: In this paper , the potential implications of antibody response to previous viral infections in predicting the response to ICBs in NSCLC patients were revealed, which revealed the potential impact of previous viral infection on ICB efficacy.
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Utilisation des tests génomiques en oncologie : avis d’experts Français selon la méthode Delphi

TL;DR: In this paper , a national consensus approach based on a modified Delphi methodology was set up to provide expert opinion on the use of genome-wide testing in clinical practice in France, and four groups of experts -4 each representing the following topics of interest -were defined: non-small cell lung cancer (NSCLC), breast cancer, melanoma, and cancer of unknown primary (CUP).
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La surrénalectomie améliore la survie de patients sélectionnés porteurs d’un cancer oligométastatique

TL;DR: La surrenalectomie fait partie de the prise en charge des patients porteurs de cancers oligometastatiques mais ceux-ci doivent etre selectionnes.
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Stereotactic body radiotherapy for extra-cranial oligoprogressive or oligorecurrent small-cell lung cancer

TL;DR: The role of local ablative treatments, including stereotactic body radiotherapy (SBRT), is an area of active research in oligometastatic patients as discussed by the authors , where the authors evaluated the outcomes after SBRT in uncommon oligoprogressive/oligorecurrent SCLC presentation.
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P3-220: Pulmonary function tests as a predictor of quantitative and qualitative outcomes after thoracic surgery for lung cancer

TL;DR: Pulmonary function tests allow a relatively good prediction of postoperative quantitative outcomes such as postoperative morbidity and mortality as well as OS after thoracic surgery for NSCLC, however, pulmonary function tests remain poorly correlated to postoperative qualitative outcomes, making QOL a separate and essential assessment of the health status of patients with resected NSClC.