Immunotherapy methods for patients whose tumors carry a high passenger gene mutation burden
A technology for immunotherapy and patients, applied in the field of immunotherapy, which can solve the problems of undeveloped immunogenicity and reduced sensitivity
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
example 1
[0140] Passenger Gene Index
[0141] The Passenger Gene Index (PGI) method involved all TCGA samples binned by cancer type, and for bins the median of mutated genes was determined. Mutations are restricted to non-silent somatic mutations by comparing solid tumors with blood-derived counterparts or normal solid counterparts, except for acute myeloid leukemia, in which blood-derived tumors are associated with Normal solid tissue for comparison. Mutation profiles were constructed as binary matrices such that a bin was set to 1 if any locus corresponding to a gene had a mutation in that patient. PGI for each gene X i Calculated as having gene X i Pearson correlation between the sample fraction of mutations and the median of mutated genes in each cancer type. Before computing the correlation, an infinitesimal amount of uniformly distributed noise is added to the fraction of samples with mutations to avoid the problem of having all zero entries.
example 2
[0143] Z-scores for driver and passenger gene tumor mutational burden
[0144] The Z-score method for driver / passenger TMB involves the following. To calculate z-scores with respect to TMB, the background distribution of TMB was first determined using a randomly selected gene set of 1000 equal sizes. The number of mutated driver / passenger genes is then compared to the background distribution to calculate a z-score indicating how many standard deviations the number is from the background mean. Driver genes were downloaded from the COSMIC Cancer Gene Census on January 22, 2015, and passenger genes were defined as the top n genes by PGI derived from TCGA data.
example 3
[0146] Passenger gene tumor mutation burden and immunotherapy responsiveness
[0147] To calculate the Passenger Gene Index (PGI), a list of non-silent somatic mutations from 6,685 samples spanning 20 TCGA tumor types was compiled. Somatic mutations are determined by comparing the tumor genome with that of a germline, eg, blood-derived normal sample from a systemic patient. The median number of altered genes / sample ranged from 9 in acute myeloid leukemia to 289 in cutaneous melanoma of the skin, representing a more than 32-fold difference between the lowest and highest mutation rate cancers ( Figure 5 ). This is consistent with previous observations that skin and lung cancer samples had the highest mutation rates due to exposure to environmental mutagens. Figure 5 The number of non-silent somatic mutations / sample in the 6,685 TCGA cancer exomes is shown.
[0148] The 20 cancer types included in this study were bladder urothelial carcinoma (BLCA), breast invasive carcinoma...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com