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

Publications associées (34)

NMR and MS reveal characteristic metabolome atlas and optimize esophageal squamous cell carcinoma early detection

Metabolic changes precede malignant histology. However, it remains unclear whether detectable characteristic metabolome exists in esophageal squamous cell carcinoma (ESCC) tissues and biofluids for early diagnosis. Here, we conduct NMR- and MS-based metabo ...

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

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

Li Zhang, Jiancheng Yang

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

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

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

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

Li Zhang, Jiancheng Yang

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

Li Zhang, Jiancheng Yang, Xinchao Wang

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

Nanotechnology enabled modulation of T cell immunity for cancer treatment

Xiaomeng Hu

Recent breakthroughs in cancer immunotherapy, exemplified by immune checkpoint blockade and CAR T cell therapy, have achieved remarkable clinical success. However, the majority of cancer patients fail to respond to immunotherapy or suffer from relapse. Nan ...

EPFL2023

Cancer hallmarks intersect with neuroscience in the tumor microenvironment

Douglas Hanahan

The mechanisms underlying the multistep process of tumorigenesis can be distilled into a logical framework involving the acquisition of functional capabilities, the so-called hallmarks of cancer, which are collectively envisaged to be necessary for maligna ...

CELL PRESS2023

Scale-Aware Test-Time Click Adaptation for Pulmonary Nodule and Mass Segmentation

Li Zhang, Jiancheng Yang

Pulmonary nodules and masses are crucial imaging features in lung cancer screening that require careful management in clinical diagnosis. Despite the success of deep learning-based medical image segmentation, the robust performance on various sizes of lesi ...

Springer International Publishing Ag2023

DeepBreath-automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries

Martin Jaggi, Mary-Anne Hartley, Tatjana Chavdarova, Jonathan Dönz

The interpretation of lung auscultation is highly subjective and relies on non-specific nomenclature. Computer-aided analysis has the potential to better standardize and automate evaluation. We used 35.9 hours of auscultation audio from 572 pediatric outpa ...

NATURE PORTFOLIO2023

Medical and Personal Characteristics Can Predict the Risk of Lung Metastasis

Michele De Palma, Nahal Mansouri

Aims: Understanding the correlations between underlying medical and personal characteristics of a patient with cancer and the risk of lung metastasis may improve clinical management and outcomes. We used machine learning methodologies to predict the risk o ...

2023

Development of a novel Chimeric Antigen Receptor (CAR) for its use in Natural Killer (NK) cells for cancer treatment and beyond

Angela Madurga Alonso

The use of CAR technologies has revolutionized cancer treatment. Their unprecedented efficacy against B cell malignancies has opened the doors for a lot of excitement and research in the field. These synthetic receptors are composed of an antigen recogniti ...

EPFL2023

Electrochemical imaging of metabolic activity in tissue and biofilms

Sorour Darvishi

Non-invasive and semi-invasive bioimaging is of great interest for the rapid diagnosis and efficient as well as specific treatments of biological systems affecting human health, such as cancer tissue and biofilms. Electrochemical bioimaging is one of the d ...

EPFL2022

Improving the efficiency of identifying malignant pulmonary nodules before surgery via a combination of artificial intelligence CT image recognition and serum autoantibodies

Jiancheng Yang

ObjectiveTo construct a new pulmonary nodule diagnostic model with high diagnostic efficiency, non-invasive and simple to measure. MethodsThis study included 424 patients with radioactive pulmonary nodules who underwent preoperative 7-autoantibody (7-AAB) ...

SPRINGER2022

Colon tumour cell death causes mTOR dependence by paracrine P2X4 stimulation

Andrea Ablasser

Solid cancers exhibit a dynamic balance between cell death and proliferation ensuring continuous tumour maintenance and growth(1,2). Increasing evidence links enhanced cancer cell apoptosis to paracrine activation of cells in the tumour microenvironment in ...

NATURE PORTFOLIO2022

Non-genomic activation of the AKT-mTOR pathway by the mitochondrial stress response in thyroid cancer

Johan Auwerx, Kristina Schoonjans, Dongryeol Ryu

Cancer progression is associated with metabolic reprogramming and causes significant intracellular stress; however, the mechanisms that link cellular stress and growth signalling are not fully understood. Here, we identified a mechanism that couples the mi ...

2022

The role of eosinophils in breast cancer

Luisa Spisak

Eosinophils are granulocytes and belong to the innate arm of immunity. Eosinophils can be in different basal or activation states and depending on which type of activation is applied, they exert different effector functions. These multi-functional cells ha ...

EPFL2022

BCG hydrogel promotes CTSS-mediated antigen processing and presentation, thereby suppressing metastasis and prolonging survival in melanoma

Li Tang, Bing Feng

Background The use of intralesional Mycobacterium bovis BCG (intralesional live BCG) for the treatment of metastatic melanoma resulted in regression of directly injected, and occasionally of distal lesions. However, intralesional-BCG is less effective in p ...

BMJ PUBLISHING GROUP2022

Integrative transcriptome analyses of Transposable Elements (TEs) and genes contribute to a better understanding of colorectal cancer

Eunji Shin

Cancer is the second leading cause of death worldwide. Cancer develops through multiple hallmark functions including apoptosis evasion, unlimited replicative potential, metastasis, and immune avoidance. Over the past few decades, researchers have reported ...

EPFL2022

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