Related Experiment Video
Updated: Jan 27, 2026

Generation of a Novel Dendritic-cell Vaccine Using Melanoma and Squamous Cancer Stem Cells
Published on: January 6, 2014
Applications of Next-Generation Sequencing in Neoantigen Prediction and Cancer Vaccine Development
Elizabeth M Lancaster1, David Jablons1, Johannes R Kratz1
1Thoracic Oncology Program, Department of Surgery, University of California, San Francisco, San Francisco, California.
Abstract:
Next-generation sequencing has changed the face of cancer immunotherapy research by making tumor-specific cancer vaccines a reality. Whole exome sequencing and RNA sequencing combined with bioinformatic pipelines allow the prediction of neoantigen targets for cancer vaccines. In this review, we discuss the preclinical and early clinical evidence for cancer vaccines; describe methods and challenges in neoantigen prediction; and summarize emerging new technologies that will improve neoantigen cancer vaccine development.
Related Concept Videos
Cancer Vaccines
Cancer vaccines come in two categories: preventive (prophylactic) and treatment (active). Preventive vaccines, such as the Human Papillomavirus (HPV) vaccine, protect against viruses that cause certain...
Vaccinations
Next-generation Sequencing
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
Predicting Molecular Geometry
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
End Point Prediction: Gran Plot
For potentiometric titration, the Gran plot is created by plotting...

