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Lung Cancer - Astrophysics Data System

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Last Updated: 15 June 2022

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Orally bioavailable small-molecule inhibitor of transcription factor Stat3 regresses human breast and lung cancer xenografts

"Computer-aided lead optimization derives a unique, orally bioavailable inhibitor of transcription 3 Src homology 2 domain. " Stat3-B-internet chat, the introduction of granulocyte colony-stimulating factor, soluble intercellular adhesion molecule 1, serine protease inhibitor protein 1, and epidermal adhesion molecule 1 receptor antagonist, as well as increasing E-cadherin expression, among others. "The BP-1-102 furnishes micromolar or microgram levels in tumor tissue and limits tissue proliferation, reducing the growth of human breast and lung tumor xenografts. ".

Source link: https://ui.adsabs.harvard.edu/abs/2012PNAS..109.9623Z/abstract


Hexokinase 2 discerns a novel circulating tumor cell population associated with poor prognosis in lung cancer patients

"This work reveals that HK2-based assay can resolve a novel HK2 high /CK neg CTC population with consistent genomic CNV and consistent transcriptome signatures but not in NSCLC patients. " Patients with poor prognosis before therapy may have suboptimal EGFR inhibitor therapeutic success in CTCs with patient EGFR mutation types.

Source link: https://ui.adsabs.harvard.edu/abs/2021PNAS..11812228Y/abstract


Emergence of potent inhibitors of metastasis in lung cancer via syntheses based on migrastatin

"Migrastatin is a biologically active natural product isolated from Streptomyces that has been shown to reduce tumor cell migration. " The migrastatin core ether and the carboxymethyl-ME, two promising ether-derived derivatives with high success in blocking tumor cell migration and metastasis in lung cancer, are discussed herein. ME and CME compounds were found to be highly effective in inhibiting overall metastasis in a human small-cell lung carcinoma primary xenograft model, even at the lowest dosage used. These very encouraging results indicate that these analogs may be promising as potent antimetastatic agents in lung cancer.

Source link: https://ui.adsabs.harvard.edu/abs/2011PNAS..10815074L/abstract


Optimizing VGG16 for lung cancer CT image recognition: evaluating the effectiveness of channel and spatial attention

"The use of deep learning and computer vision has been widely used in the medical field, especially in the image diagnosis field. " We also have concerns about how different models perform on lung cancer image classification, although there is a lot of study on quantifying lung cancers using deep learning. In this paper, we will discuss the model's success and determine whether adding attention layers to the model will make it more useful. To determine the model's results, we will use lung cancer datasets obtained from Lung Nodule Analysis 2016 to determine the model's results. ".

Source link: https://ui.adsabs.harvard.edu/abs/2022SPIE12163E..4HL/abstract


Electron transfer-based combination therapy of cisplatin with tetramethyl-p-phenylenediamine for ovarian, cervical, and lung cancers

"However, cancer cells often become refractory with time, and most cancer patients with severe cancers die of drug resistance. " Here, we show that the combination of cisplatin and an outstanding biological electron donor, N,N',N'-phenylenediamine, could overcome cancer cell resistance to cisplatin. The combination of 100 u03bcM TMPD with cisplatin enhances double-strand breaks of plasmid DNA by a factor of approximately 3. 5 and significantly reduced the viability of cisplatin-sensitive human cervical cancer cells and highly cisplatin-resistant human ovarian and lung cancer cells, according to researchers. "Our findings show both the ability to increase platinum-based chemotherapy of several human cancers and the promise of femtomedicine as an emerging frontier in cancer therapy," says cisplatin, the pillar agent for treating a variety of human cancers.

Source link: https://ui.adsabs.harvard.edu/abs/2012PNAS..10910175L/abstract


A semi-automatic threshold-based segmentation algorithm for lung cancer delineation

"Remote studies use AI and quantitative methods from medical photographs to create models that can predict patient outcomes. " In recent radiomic studies, semi-automatic segmentation techniques have been used to achieve more reproducible segmentation and robust radiomics features. However, for the analysis of lung tumors on CT images, tools in the literature are impossible to find publicly and require extensive user interaction. We used one dataset to build the segmentation algorithm and another to measure its results. Three separate users of the CT images were segmented by three separate patients, separating all 144 tumors on the CT images. A trained radiologist established a gold standard tumor delineation. A total of 408 radiomic elements were extracted and feature robustness was established using an intra-class correlation coefficient greater than 0. 8. ".

Source link: https://ui.adsabs.harvard.edu/abs/2022SPIE12036E..1TC/abstract


High-throughput screening of rare metabolically active tumor cells in pleural effusion and peripheral blood of lung cancer patients

"Identification of cancer cells in lung cancer patients' pleural effusions is a key clinical diagnostic procedure to establish malignant pleural involvement. " Cells with elevated glucose uptake and without the presence of leukocyte markers in pleural effusion or peripheral blood samples are highly likely to be malignant cells that can be detected by single-cell sequencing. ".

Source link: https://ui.adsabs.harvard.edu/abs/2017PNAS..114.2544T/abstract


Molecular profiling of single circulating tumor cells from lung cancer patients

"High-throughput compartmentalization and multigene profiling of individual circulating tumor cells from whole-blood samples using modular gene panels can aid in the rapid and yet minimally invasive characterization of lung cancer for therapy diagnosis and monitoring. ".

Source link: https://ui.adsabs.harvard.edu/abs/2016PNAS..113E8379P/abstract


Functional polyesters enable selective siRNA delivery to lung cancer over matched normal cells

"We used a patient-derived pair of matched cancer/normal cell lines to discover a cytotoxic siRNA that could kill cancer cells but not normal cells. " Cellular response in a single nanoparticle has major implications for gene therapy, because cell-type specificity of drug carriers in vivo could influence clinical patient outcomes. ".

Source link: https://ui.adsabs.harvard.edu/abs/2016PNAS..113E5702Y/abstract


Long-circulating siRNA nanoparticles for validating Prohibitin1-targeted non-small cell lung cancer treatment

"This research led to the development of a new generation lipid-polymer hybrid nanoparticle platform for safe systemic delivery of small interfering RNA to tumors, which is a significant obstacle to widespread use of RNA interference in cancer research and therapy. " This mixed RNAi nanoparticle platform may be a useful device for establishing new cancer targets and designing new cancer therapies. ".

Source link: https://ui.adsabs.harvard.edu/abs/2015PNAS..112.7779Z/abstract

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions