Results 81 to 90 of about 273,871 (338)

Impact of histopathological subtypes on invasive lung adenocarcinoma: from epidemiology to tumour microenvironment to therapeutic strategies

World Journal of Surgical Oncology
Lung adenocarcinoma is the most prevalent type of lung cancer, with invasive lung adenocarcinoma being the most common subtype. Screening and early treatment of high-risk individuals have improved survival; however, significant differences in prognosis ...
Shaowei Xin, Miaomiao Wen, Yahui Tian, Honghong Dong, Zitong Wan, Suxin Jiang, Fancheng Meng, Yanlu Xiong, Yong Han   +8 more
doaj   +1 more source

HLA-G Expression in Lung Adenocarcinoma Tissues and Its Relationship with Prognosis

Zhongliu Fangzhi Yanjiu, 2018
Objective To investigate the expression of HLA-G and determine the prognostic value of HLA-G for lung adenocarcinoma. Methods The genomic alternation of HLA-G was analyzed using cBioPortal analytic tool.
ZHANG Wenlong, ZHANG Panpan, SI Jiahui, MA Yuanyuan, YANG Yue   +4 more
doaj   +1 more source

Representation Learning of Histopathology Images using Graph Neural Networks [PDF]

arXiv, 2020
Representation learning for Whole Slide Images (WSIs) is pivotal in developing image-based systems to achieve higher precision in diagnostic pathology. We propose a two-stage framework for WSI representation learning. We sample relevant patches using a color-based method and use graph neural networks to learn relations among sampled patches to ...
arxiv  

Aberrant expression of nuclear prothymosin α contributes to epithelial‐mesenchymal transition in lung cancer

Molecular Oncology, EarlyView.
Nuclear prothymosin α inhibits epithelial‐mesenchymal transition (EMT) in lung cancer by increasing Smad7 acetylation and competing with Smad2 for binding to SNAI1, TWIST1, and ZEB1 promoters. In early‐stage cancer, ProT suppresses TGF‐β‐induced EMT, while its loss in the nucleus in late‐stage cancer leads to enhanced EMT and poor prognosis.
Liyun Chen, Chung‐Teng Wang, Jia‐Ming Chang, Ai‐Li Shiau, Gia‐Shing Shieh, Yau‐Lin Tseng, Yi‐Ting Yen, Tang‐Hsiu Huang, Li‐Hsin Cheng, Yu‐Chih Wu, Chao‐Liang Wu, Bing‐Hua Su, Pensee Wu   +12 more
wiley   +1 more source

The distinctive nature of adenocarcinoma of the lung

OncoTargets and Therapy, 2015
In recent years, many personalized treatments have been developed for NSCLC (non-small-cell lung cancer) patients. Among these, gefitinib, erlotinib, and afatinib are selective epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors for patients with EGFR gene mutations, while crizotinib and ceritinib are two new tyrosine kinase inhibitors ...
openaire   +6 more sources

Acrometastasis due to Lung Adenocarcinoma

Advances in Respiratory Medicine, 2018
We are presenting a case of acrometastasis in a male patient with lung adenocarcinoma. Acrometastases accumulate for 0.1% of all metastatic bone lesions and can be the first manifestation of cancer in approximately 10% of cases. The main clinical manifestations are tenderness, intermittent pain, functional impairment, erythema, heat and swelling of the
Apollonatou, V., Loukides, S., Papaioannou, A.I., Papiris, S.   +3 more
openaire   +4 more sources

Tiptoeing on Metastatic Adenocarcinoma of the Lung [PDF]

Case Reports in Oncological Medicine, 2019
Lung cancer remains the top cause of cancer-related death in the United States. Metastases to the distal phalanges are rare. This case illustrates an interesting presentation of metastatic adenocarcinoma of the lung that was mistaken for a benign condition of the toe.
Arupreet Kochar, Harrison D. Winters, Li Zhang, Bin Zhang, Kamia Thakur, Rajesh Essrani   +5 more
openaire   +3 more sources

Google Auto ML versus Apple Create ML for Histopathologic Cancer Diagnosis; Which Algorithms Are Better? [PDF]

arXiv, 2019
Artificial Intelligence is set to revolutionize multiple fields in the coming years. One subset of AI, machine learning, shows immense potential for application in a diverse set of medical specialties, including diagnostic pathology. In this study, we investigate the utility of the Apple Create ML and Google Cloud Auto ML, two machine learning ...
arxiv  

Understanding and measuring mechanical signals in the tumor stroma

FEBS Open Bio, EarlyView.
This review discusses cancer‐associated fibroblast subtypes and their functions, particularly in relation to extracellular matrix production, as well as the development of 3D models to study tumor stroma mechanics in vitro. Several quantitative techniques to measure tissue mechanical properties are also described, to emphasize the diagnostic and ...
Fàtima de la Jara Ortiz, Chiara Cimmino, Maurizio Ventre, Alessandra Cambi   +3 more
wiley   +1 more source

Lung and Colon Cancer Histopathological Image Dataset (LC25000) [PDF]

arXiv, 2019
The field of Machine Learning, a subset of Artificial Intelligence, has led to remarkable advancements in many areas, including medicine. Machine Learning algorithms require large datasets to train computer models successfully. Although there are medical image datasets available, more image datasets are needed from a variety of medical entities ...
arxiv