Module 3 readings Flashcards

(10 cards)

1
Q

illumina sequencing to measure TMB and detect variants as a cost-effective alternative - Pestinger et al. 2020

A
  • 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
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2
Q

Use of a MTB - Kato et al. 2020

A

patients with MTB-recommended regimens had a significantly longer PFS and overall survival

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3
Q

Pan cancer association of HLA gene expression with prognosis and immunotherapy efficacy - Schaafsma et al. 2021

A
  • 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
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4
Q

WGS, transcriptome and methylome profile for target discovery in high risk pediatric cancers - Wong et al. 2020

A
  • 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
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5
Q

Using high and low TMB as a predictor for response in immunotherapy - Valero et al. 2021

A
  • high TMB = 10 or more mt per mb in solid tumour patients
  • TMB-high patients had a higher response rate to immunotherapy
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6
Q

Viral associations with cancers - Zapatka et al. 2020

A
  • 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
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7
Q

Molecular determinants of immunotherapy response in glioblastoma patients - Zhao et al. 2019

A
  • 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
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8
Q

TMB as a predictor in non-European ancestries - Nassar et al. 2022

A
  • 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
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9
Q

Lung adenocarcinoma promoted by air pollutants - Hill et al. 2023

A
  • 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
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10
Q

Genome wide identification and analysis of prognostic features in human cancers - Smith and Sheltzer 2022

A
  • 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.
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