Results 131 to 140 of about 3,117,738 (383)
FAP-α is an effective tool to evaluate stroma invasion of lung adenocarcinoma
The main difficulty in the diagnosis of atypical in situ adenocarcinoma lies in the distinction between true and false stromal invasion. Moreover, how to identify local alveolar wall collapse in situ lung adenocarcinoma and how to identify whether the ...
Siping Xiong+6 more
doaj +1 more source
Learning Permutation Invariant Representations using Memory Networks [PDF]
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
Novel mAbs could detect cancer‐associated membrane proteins on various type of pancreatic ductal adenocarcinomas (PDAC) by flow cytometry with viable PDAC cells and by immunohistochemistry with PDAC tissues. Results of protein expression were substantiated by mRNA expression by The Cancer Genome Atlas.
Takashi Nakano+16 more
wiley +1 more source
Invasiveness Prediction of Pulmonary Adenocarcinomas Using Deep Feature Fusion Networks [PDF]
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
Osimertinib reduces angiogenesis and PDL1 expression in in ovo tumors, transforming them into ‘cold tumors’ with lower immune activity. Anatomopathological and transcriptomic analyses highlight its therapeutic impact on tumor biology. This study underscores osimertinib's potential to reshape the tumor microenvironment and provides insights into its ...
David Barthélémy+14 more
wiley +1 more source
VASN promotes the aggressive phenotype in ARID1A-deficient lung adenocarcinoma
Loss 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
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]
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
IKKα inactivation promotes Kras-initiated lung adenocarcinoma development through disrupting major redox regulatory pathways. [PDF]
Lung adenocarcinoma (ADC) and squamous cell carcinoma (SCC) are two distinct and predominant types of human lung cancer. IκB kinase α (IKKα) has been shown to suppress lung SCC development, but its role in ADC is unknown.
Hu, Yinling+14 more
core +1 more source
Dual EGFR inhibition in combination with anti-VEGF treatment: a phase I clinical trial in non-small cell lung cancer. [PDF]
BackgroundPreclinical data indicate EGFR signals through both kinase-dependent and independent pathways and that combining a small-molecule EGFR inhibitor, EGFR antibody, and/or anti-angiogenic agent is synergistic in animal models.MethodsWe conducted a ...
Bastida, Christel+11 more
core +2 more sources