Results 101 to 110 of about 273,871 (338)
Learning Permutation Invariant Representations using Memory Networks [PDF]
arXiv, 2019 Many real-world tasks such as classification of digital histopathology images and 3D object detection involve learning from a set of instances. In these cases, only a group of instances or a set, collectively, contains meaningful information and therefore only the sets have labels, and not individual data instances.
arxiv
FEBS Open Bio, EarlyView.Long non‐coding RNAs (lncRNAs) occupy an abundant fraction of the eukaryotic transcriptome and an emerging area in cancer research. Regulation by lncRNAs is based on their subcellular localization in HNSCC. This cartoon shows the various functions of lncRNAs in HNSCC discussed in this review.
Ellen T. Tran +3 more
wiley +1 more source
VASN promotes the aggressive phenotype in ARID1A-deficient lung adenocarcinoma
BMC CancerLoss of ARID1A has been reported to drive the progression of lung adenocarcinoma, yet the underlying mechanism remains elusive. In this study, we performed secretome analysis to identify the key secreted proteins regulating lung adenocarcinoma ...
Dan-ni Wu +7 more
doaj +1 more source
Invasiveness Prediction of Pulmonary Adenocarcinomas Using Deep Feature Fusion Networks [PDF]
arXiv, 2019 Early diagnosis of pathological invasiveness of pulmonary adenocarcinomas using computed tomography (CT) imaging would alter the course of treatment of adenocarcinomas and subsequently improve the prognosis. Most of the existing systems use either conventional radiomics features or deep-learning features alone to predict the invasiveness. In this study,
arxiv
Understanding and Overcoming Immunotherapy Resistance in Skin Cancer: Mechanisms and Strategies
Aging and Cancer, EarlyView.This narrative review explores the mechanisms driving immunotherapy resistance in skin cancer, including tumor microenvironment factors, genetic mutations, and immune evasion strategies. It highlights potential strategies to overcome resistance, offering insights for improving therapeutic outcomes and guiding future research in personalized ...
Shreya Singh Beniwal +8 more
wiley +1 more source
Chinese Journal of Lung Cancer, 2013 Background and objective In recent years, cases of lung adenocarcinoma morbidity have consistently grown. OCT4 is the key gene that controls the automatic renewal of stem cells, and regulates the proliferation and differentiation of cancer stem cells ...
Xueyan ZHANG +5 more
doaj +1 more source
Stage I non-small cell lung cancer stratification by using a model-based clustering algorithm with covariates [PDF]
arXiv, 2020 Lung cancer is currently the leading cause of cancer deaths. Among various subtypes, the number of patients diagnosed with stage I non-small cell lung cancer (NSCLC), particularly adenocarcinoma, has been increasing. It is estimated that 30 - 40\% of stage I patients will relapse, and 10 - 30\% will die due to recurrence, clearly suggesting the ...
arxiv
Advanced Biology, EarlyView.Extracellular vesicles (EVs) play a dual role in diagnostics and therapeutics, offering innovative solutions for treating cancer, cardiovascular, neurodegenerative, and orthopedic diseases. This review highlights EVs’ potential to revolutionize personalized medicine through specific applications in disease detection and treatment.
Farbod Ebrahimi +4 more
wiley +1 more source
Adenocarcinoma of the lung: Histological factors affecting prognosis.A study of 38 patients with resection and 5-year follow-up [PDF]
, 1962 Peter B. Hukill, Harold Stern
openalex +1 more source
The Regulation of Trace Metal Elements in Cancer Ferroptosis
Advanced Biology, EarlyView.The induction of ferroptosis inhibits tumor growth, enhances anticancer efficacy, and overcomes drug resistance. Recent evidence shows nonferrous metal elements play a role in ferroptosis. This review focuses on how trace metals regulate ferroptosis processes like iron accumulation, lipid peroxidation, and antioxidant defense.
Xiaoyan Wang +5 more
wiley +1 more source