Publications associées à Adénocarcinome

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 ...

Berlin2024

Is There a Special Role for Ovarian Hormones in the Pathogenesis of Lobular Carcinoma?

Cathrin Brisken, Georgios Sflomos

Lobular carcinoma represent the most common special histological subtype of breast cancer, with the majority classed as hormone receptor positive. Rates of invasive lobular carcinoma in postmenopausal women have been seen to increase globally, while other ...

Endocrine Soc2024

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

Lijing Xin, Yubo Zhao, Yan Lin, Wei Ye

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

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

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

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 ...

Clare2023

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. Methods A total of 542 patients with clini ...

SPRINGER2023

Optimized Modeling of Metastatic Triple-Negative Invasive Lobular Breast Carcinoma

Cathrin Brisken, Georgios Sflomos, Laura Battista

Simple Summary Invasive lobular carcinoma (ILC) is the second most common histologic subtype of breast cancer and is often detected at an advanced stage. Up to 30% of ILC cases relapse and present a challenge for treatment. Unfortunately, there are few mod ...

MDPI2023

Metabolic Rewiring by Loss of Sirt5 Promotes Kras-Induced Pancreatic Cancer Progression

Johan Auwerx

BACKGROUND & AIMS: SIRT5 plays pleiotropic roles via post-translational modifications, serving as a tumor suppressor, or an oncogene, in different tumors. However, the role SIRT5 plays in the initiation and progression of pancreatic ductal adenocarcinoma ( ...

W B SAUNDERS CO-ELSEVIER INC2021

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Adénocarcinome

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

Is There a Special Role for Ovarian Hormones in the Pathogenesis of Lobular Carcinoma?

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

The role of LRRK2 in lung adenocarcinoma

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

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

Exportin 1 inhibition prevents neuroendocrine transformation through SOX2 down-regulation in lung and prostate cancers

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

Optimized Modeling of Metastatic Triple-Negative Invasive Lobular Breast Carcinoma

Metabolic Rewiring by Loss of Sirt5 Promotes Kras-Induced Pancreatic Cancer Progression

Graph Chatbot

Chattez avec Graph Search

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

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

Exportin 1 inhibition prevents neuroendocrine transformation through SOX2 down-regulation in lung and prostate cancers

The role of LRRK2 in lung adenocarcinoma

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

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

Optimized Modeling of Metastatic Triple-Negative Invasive Lobular Breast Carcinoma

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

Metabolic Rewiring by Loss of Sirt5 Promotes Kras-Induced Pancreatic Cancer Progression