Module 3 readings Flashcards
(10 cards)
illumina sequencing to measure TMB and detect variants as a cost-effective alternative - Pestinger et al. 2020
- Compared illumina sequencing to WGS
- Had similar results as WGS
- could detect low variant allele freq, long INDELS, MSI high and RNA fusions
- Identified actionable mutations allowing for clinical trials to be matched to all patients
- Cost-effective
- Limitation = complex to make library
Use of a MTB - Kato et al. 2020
patients with MTB-recommended regimens had a significantly longer PFS and overall survival
Pan cancer association of HLA gene expression with prognosis and immunotherapy efficacy - Schaafsma et al. 2021
- Looked at 33 cancer types
- Higher HLA expression was associated with increased immune cell infiltration, prolonged survival, increased response to immune checkpoint inhibitors
- many cancers associated with HLA mutations > chromosome loss, promoter methylation and mutants
WGS, transcriptome and methylome profile for target discovery in high risk pediatric cancers - Wong et al. 2020
- 5.2% patients had a change in diagnosis as WGS identified missed driver mutations and methylome profiling reclassified tumours
- Identified therapeutic targets in 71.4% patients
- 31% who received recommended therapies had durable objective clinical benefit
Using high and low TMB as a predictor for response in immunotherapy - Valero et al. 2021
- high TMB = 10 or more mt per mb in solid tumour patients
- TMB-high patients had a higher response rate to immunotherapy
Viral associations with cancers - Zapatka et al. 2020
- analysed WGS data from PCAWG
- cancer type specific associations
- Most common = EBV, HPV and HBV
- HPV had increased expression of immune cells and APOBEC3B > different viruses had different outcomes = therapeutic potential
- ERV1 high expression in kidney cancers had worse prognosis
Molecular determinants of immunotherapy response in glioblastoma patients - Zhao et al. 2019
- WES
- PTEN mutations were associated with non-responders
- MAPK pathway enrichment > PI3K-AKT increase in responders
- different neoantigen evolution in non vs responders
- non responders had greater T cell clonal diversity = more TCR
TMB as a predictor in non-European ancestries - Nassar et al. 2022
- TMB inflation and misclassified germline variants in non-european populations
- in lung cancer TMB-high was a predictive of better outcomes in european not african and asian populations
- shows need for ancestry specific marker
Lung adenocarcinoma promoted by air pollutants - Hill et al. 2023
- air pollutants might promote inflammatory changes in the microenviro to allow expansion of pre-existing mutant clones
- explanation for non-smoking mediated mutagenesis
- particle matter (PM) exposure in mice models induced expression of oncogenic EGFR and KRAS
- PM2.5 triggered macrophage infiltration into the lungs and production of IL-1B
Genome wide identification and analysis of prognostic features in human cancers - Smith and Sheltzer 2022
- no single genome feature was prognostic across all cancer types
- overexpressed transcripts were typically gene associated with chromosome segregation, DNA replication and cell cycle
- strongest biomarkers tended to be housekeeping genes with roles in cell cycle
- most successful drugs dont target adverse prognostic genes.