Results 121 to 130 of about 841,611 (282)

Biased graphs. I. Bias, balance, and gains

open access: yesJournal of Combinatorial Theory, Series B, 1989
AbstractA biased graph is a graph together with a class of cirles (simple closed paths), called balanced, such that no theta subgraph contains exactly two balanced circles. A gain graph is a graph in which each edge has a gain (a label from a group so that reversing the direction inverts the gain); a circle is balanced if its edge gain product is 1 ...
openaire   +2 more sources

Molecular imaging predicts trastuzumab‐deruxtecan (T‐DXd) response in head and neck cancer xenograft models

open access: yesMolecular Oncology, EarlyView.
Trastuzumab‐deruxtecan, a HER2‐targeting antibody‐drug conjugate, shows promising antitumor activity in head and neck squamous cell carcinoma with low HER2 expression. In vitro and in vivo studies demonstrated dose‐dependent cell death and tumor growth reduction in low HER2‐expressing cell lines, which correlated with drug accumulation measured using a
Abdullah Bin Naveed   +8 more
wiley   +1 more source

Spectral Characterizations of Complex Unit Gain Graphs

open access: yes, 2022
While eigenvalues of graphs are well studied, spectral analysis of complex unit gain graphs is still in its infancy. This thesis considers gain graphs whose gain groups are gradually less and less restricted, with the ultimate goal of classifying gain graphs that are characterized by their spectra. In such cases, the eigenvalues of a gain graph contain
openaire   +1 more source

Genomics‐led approach to drug testing in models of undifferentiated pleomorphic sarcoma

open access: yesMolecular Oncology, EarlyView.
GA text Genomic data from undifferentiated pleomorphic sarcoma patients and preclinical models were used to inform a targeted drug screen. Selected compounds were tested in 2D and 3D cultures of UPS cell lines. A combination of trametinib and infigratinib was synergistic in the majority of UPS cell lines tested, which was further confirmed in an ex ...
Piotr J. Manasterski   +19 more
wiley   +1 more source

The subcellular distribution of phosphorylated Y‐box‐binding protein‐1 at S102 in colorectal cancer patients, stratified by KRAS mutational status and clinicopathological features

open access: yesMolecular Oncology, EarlyView.
This study identifies nuclear YB‐1 S102 phosphorylation as a marker associated with KRAS and FBXW7 mutations in colorectal cancer. Mutated KRAS correlates specifically with nuclear, not cytoplasmic, S102 YB‐1. These findings provide the first ex vivo evidence of this link in CRC and suggest future studies should assess the prognostic and therapeutic ...
Konstanze Lettau   +9 more
wiley   +1 more source

Enhancing graph interpretation skills of Grade 9 students in learning microeconomics through I2 strategy

open access: yesIndonesian Journal of Education and Pedagogy
This action research aimed to enhance the graph interpretation skills of 35 Grade 9 Apitong students of Baybay National High School in learning microeconomics through the I2 strategy.
Jojenn P. Calingacion   +5 more
doaj   +1 more source

Therapeutic applications of a novel humanized monoclonal antibody targeting chemokine receptor CCR9 in pancreatic cancer

open access: yesMolecular Oncology, EarlyView.
C–C chemokine receptor type 9 (CCR9) is an immune checkpoint in pancreatic ductal adenocarcinoma (PDAC). Novel anti‐CCR9 antibody SRB2 was evaluated in combination with cytotoxic chemotherapy in PDAC cells, patient‐derived organoids, patient‐derived xenografts, and humanized mouse models.
Hannah G. McDonald   +18 more
wiley   +1 more source

BMP antagonist CHRDL2 enhances the cancer stem‐cell phenotype and increases chemotherapy resistance in colorectal cancer

open access: yesMolecular Oncology, EarlyView.
Overexpression of CHRDL2 in colon cancer cells makes them more stem‐like and resistant to chemo‐ and radiotherapy. CHRDL2‐high cells have upregulation of the WNT pathway, genes involved in the DNA damage response (DDR) pathway and epithelial‐to‐mesenchymal transition (EMT). This leads to quicker repair of damaged DNA and more cell migration.
Eloise Clarkson, Annabelle Lewis
wiley   +1 more source

Graph neural network approach with spatial structure to anomaly detection of network data

open access: yesJournal of Big Data
Network anomaly detection using graph-structured data is a critical task in data mining and cybersecurity, involving the identification of unusual patterns within a network by analyzing its structure as a graph.
Hao Zhang   +5 more
doaj   +1 more source

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