Immunohistochemical algorithm for differentiation oflung adenocarcinoma and squamous cell carcinoma based on large series ofwhole-tissue sections with validation in small specimens. Mod Pathol, 2011,24(10): 1348-1359. [4] NONAKAD. A study of DeltaNp63 expression in lung non-small cell carcinomas....
Lung cancer is the primary cause of mortality in the United States and around the globe. Therapeutic options for lung cancer treatment include surgery, radiation therapy, chemotherapy, and targeted drug therapy. Medical management is often associated with the development of treatment resistance leading ...
However, additional parameters such as driver alterations, alternative methods for molecular testing, and immunotherapy-related biomarkers have strengthened the diagnostic and treatment paradigms in lung cancer. The diagnostic algorithm for lung cancer subtyping is broadly reliant on immunohistochemistry (IHC),...
We proposed a novel model called Voting-Based Enhanced Binary Ebola Optimization Search Algorithm (VBEOSA). It improved the Binary Ebola Optimization Search Algorithm (BEOSA) by combining six classification algorithms using voting model based on lung cancer gene expression dataset. In the context of ...
In order to verify whether the machine learning modeling algorithm is better than the traditional COX regression analysis, We use the decision tree algorithm in machine learing to build a new model. Using the rpart package of R version 4.0.2 to model the original data decision tree (Fig. 9...
Treatment algorithm for small cell lung cancerNo Abstract available for this article.doi:10.1007/s00761-017-0215-9R. M. HuberLMU Klinikum der Universität München – Campus InnenstadtSpringer NatureDer Onkologe
StudyPtStageParameter(s)Algorithm(s)Type of Predicted NeoantigensMedian No. of Predicted NeoantigensNo. of Predicted Neoantigens Per Tumor Rizvi et al. (2015)24 (20) 34 Advanced MHC-I binding affinity NetMHC3.4 SNV 112 8–610 Fehlings et al. (2019)21 (17) 14 Advanced MHC-I binding aff...
A multidisciplinary team approach is critical in the management of lung cancer at all stages now with all the new advances and in the treatment algorithm that we have in the field of oncology. It is worth noting, that the discovery of driver's mutations in lung cancer (NSCLC – adenocarcinom...
The result revealed that the combined algorithm could improve the classification performance of lung cancer subtypes in breathomics and suggested that combining non-invasive exhaled breath analysis with multivariate analysis is a promising screening method for informing treatment options and facilitating ...
previously identified to be commonly active in lung cancer were included as priors (SBS1, SBS2, SBS4, SBS5, SBS13 and SBS17b). This means for each of them, a cluster was initialized at the start of the algorithm and their trinucleotide pattern was provided as prior knowledge to force th...