Publications associées à Adénocarcinome pulmonaire

Multimodal fusion of liquid biopsy and CT enhances differential diagnosis of early-stage lung adenocarcinoma

Jiancheng Yang, Li Zhang, Jun Lu, Hua Zhong, Yunhua Zhang

This research explores the potential of multimodal fusion for the differential diagnosis of early-stage lung adenocarcinoma (LUAD) (tumor sizes < 2 cm). It combines liquid biopsy biomarkers, specifically extracellular vesicle long RNA (evlRNA) and the comp ...

Nature Portfolio2024

The role of LRRK2 in lung adenocarcinoma

Aspasia Gkasti

Lung cancer is the leading cause of cancer-related deaths worldwide and the most common lung cancer subtype is lung adenocarcinoma (LUAD). Frequently mutated genes involve activating mutations in KRAS and loss of function mutations in TP53. LUADs primarily ...

EPFL2024

Bcl-xL targeting eliminates ageing tumor-promoting neutrophils and inhibits lung tumor growth

Freddy Radtke, Nadine Fournier, Amber Dawn Bowler, Etienne Meylan, Anita Bodac, Justine Pascual, Vincent Roh

Elevated peripheral blood and tumor-infiltrating neutrophils are often associated with a poor patient prognosis. However, therapeutic strategies to target these cells are difficult to implement due to the life-threatening risk of neutropenia. In a genetica ...

Springernature2024

Prognostic impact of deep learning-based quantification in clinical stage 0-I lung adenocarcinoma

Jiancheng Yang, Li Zhang, Lin Chen, Qiong Li, Ying Zhu

Objectives To evaluate the performance of automatic deep learning (DL) algorithm for size, mass, and volume measurements in predicting prognosis of lung adenocarcinoma (LUAD) and compared with manual measurements. ...

SPRINGER2023

Deep learning-based solid component measuring enabled interpretable prediction of tumor invasiveness for lung adenocarcinoma

Jiancheng Yang, Li Zhang, Xinchao Wang, Hua Sun

Background: The nature of the solid component of subsolid nodules (SSNs) can indicate tumor pathological invasiveness. However, preoperative solid component assessment still lacks a reference standard.Methods: In this retrospective study, an AI algorithm w ...

Elsevier Ireland Ltd2023

Metabolic plasticity and glucose transporter redundancy dictate lung adenocarcinoma growth

Caroline Anne-Lyse Contat

Lung cancers represent the leading cause of cancer-related deaths worldwide. These pulmonary cancers count several histological subgroups, whose non-small cell lung cancers, subject of our study. We were precisely interested in the most common subtype of n ...

EPFL2020

Combined deletion of Glut1 and Glut3 impairs lung adenocarcinoma growth

Rolf Gruetter, Anders Meibom, Graham Knott, Bernard Lanz, Stéphane Laurent Escrig, Nadine Fournier, Mario Gaetano Lepore, Etienne Meylan, Louise Helene Soegaard Jensen, Caroline Anne-Lyse Contat, Inti Zlobec, Justine Pascual, Pierre-Benoit Bernard Ancey, Silvia Sabatino, Anouk Rossier

Glucose utilization increases in tumors, a metabolic process that is observed clinically by F-18-fluorodeoxyglucose positron emission tomography (F-18-FDG-PET). However, is increased glucose uptake important for tumor cells, and which transporters are impl ...

2020

Revealing Tumor Habitats from Texture Heterogeneity Analysis for Classification of Lung Cancer Malignancy and Aggressiveness

Adrien Raphaël Depeursinge

We propose an approach for characterizing structural heterogeneity of lung cancer nodules using Computed Tomography Texture Analysis (CTTA). Measures of heterogeneity were used to test the hypothesis that heterogeneity can be used as predictor of nodule ma ...

Nature Research2019

Adverse effects of immune-checkpoint inhibitors: epidemiology, management and surveillance

Olivier Michielin, Filipe Amândio Brandão Sanches Vong Martins

Immune-checkpoint inhibitors (ICIs), including anti-cytotoxic T lymphocyte antigen 4 (CTLA-4), anti-programmed cell death 1 (PD-1) and anti-programmed cell death 1 ligand 1 (PD-L1) antibodies, are arguably the most important development in cancer therapy o ...

NATURE PUBLISHING GROUP2019

Anti-angiogenic immunotherapy for lung cancer

Ece Kadioglu

Lung cancer is the leading cause of cancer-associated deaths worldwide. Platinum-based chemotherapy is the most common therapeutic approach in advanced non-small cell lung cancer (NSCLC), particularly for tumors that carry non-druggable activating mutation ...

EPFL2019

RANKL Signaling Sustains Primary Tumor Growth in Genetically Engineered Mouse Models of Lung Adenocarcinoma

Nadine Fournier, Etienne Meylan, Julien Robert Rémi Faget, Caroline Anne-Lyse Contat

INTRODUCTION: NSCLC is the leading cause of cancer mortality. Recent retrospective clinical analyses suggest that blocking the receptor activator of NF-κB (RANK) signaling pathway inhibits the growth of NSCLC and might represent a new treatment strategy. M ...

2018

Microfluidics-based immunofluorescence for fast staining of ALK in lung adenocarcinoma

Diego Gabriel Dupouy, Benjamin Pelz, Saska Brajkovic

BackgroundAnaplastic lymphoma kinase (ALK) is a key oncogenic driver in lung adenocarcinoma patients and its fusion proteins are routinely assessed. The microfluidic tissue processor (MTP) device is based on a chip-confined low-volume technology allowing f ...

BMC2018

Snail mediates repression of the Dlk1-Dio3 locus in lung tumor-infiltrating immune cells

Nadine Fournier, Etienne Meylan, Svenja Johanna Groeneveld, Julien Robert Rémi Faget

The epithelial-mesenchymal transition-inducing transcription factor Snail contributes to tumor progression in different malignancies. In the present study, we used a transcriptomics approach to elucidate the mechanism of Snail-mediated tumor growth promoti ...

2018

RIP4 inhibits STAT3 signaling to sustain lung adenocarcinoma differentiation

Nadine Fournier, Etienne Meylan, Paolo Angelino, Jawahar Kopparam, Mauro Delorenzi, Alessandra Piersigilli, Johanna Pauline Chiffelle

Loss of epithelial differentiation and extracellular matrix (ECM) remodeling are known to facilitate cancer progression and are associated with poor prognosis in patients with lung cancer. We have identified Receptor-interacting serine/threonine protein ki ...

Nature Publishing Group2017

Role of RIP4 in lung adenocarcinoma differentiation

Jawahar Kopparam

Various studies have attributed NF-kB activation to promote KRAS mediated non-small cell lung cancer progression. In order to identify key genes regulating NF-kB activation and cell survival in lung adenocarcinoma, a synthetic lethal partner screen for KRA ...

EPFL2016

A 3-D Riesz-Covariance Texture Model for Prediction of Nodule Recurrence in Lung CT

Adrien Raphaël Depeursinge

This paper proposes a novel imaging biomarker of lung cancer relapse from 3-D texture analysis of CT images. Three-dimensional morphological nodular tissue properties are described in terms of 3-D Riesz-wavelets. The responses of the latter are aggregated ...

Institute of Electrical and Electronics Engineers2016

Treatment of pleural malignancies by photo-induction combined to systemic chemotherapy: Proof of concept on rodent lung tumors and feasibility study on porcine chest cavities

Georges Wagnières, Michaël Bensimon, Elodie Debefve, Laurent Décosterd, Jean Yannis Perentes

Background: Low-dose, Visudyne (R)-mediated photodynamic therapy (photo-induction) was shown to selectively enhance tumor vessel transport causing increased uptake of systemically administered chemotherapy in various tumor types grown on rodent lungs. The ...

Wiley-Blackwell2015

Targeting pathways downstream of KRAS in lung adenocarcinoma

Oncogenic KRAS activation is responsible for the most common genetic subtype of lung cancer. Although many of the major downstream signaling pathways that KRAS engages have been defined, these discoveries have yet to translate into effective targeted thera ...

Future Medicine Ltd2014

Detecting small lung tumors in mouse models by refractive-index microradiology

Giorgio Margaritondo

Refractive-index (phase-contrast) radiology was able to detect lung tumors less than 1 mm in live mice. Significant micromorphology differences were observed in the microradiographs between normal, inflamed, and lung cancer tissues. This was made possible ...

Springer Verlag2011

Lung Tissue Classification Using Wavelet Frames

Michaël Unser, Daniel Sage, Adrien Raphaël Depeursinge

We describe a texture classification system that identifies lung tissue patterns from high-resolution computed tomography (HRCT) images of patients affected with interstitial lung diseases (ILD). This pattern recognition task is part of an image-based diag ...

IEEE2007