Cancer Genomics Flashcards

1
Q

“The Hallmarks of Cancer”

A
  • Self sufficiency in growth signals, cells will grow with requiring external stimuli
  • Insensitivity to antigrowth, ignore stop signals
  • Evasion from apoptosis, ignore program cell death
  • Limitless replicative potential, divide as many times as they feel like
  • sustained angiogenesis, tumor cells get larger
  • invasion and metastasis
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2
Q

Cancer caused by

A

combination of inherited genetics, somatic mutation, and the environment

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3
Q

example of inherited variation in cancer

A

brca1/2, rb

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4
Q

example of somatic mutation in cancer

A

p53, MYC, RAS

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5
Q

environmental causes

A

carcinogens: UV, tobacco smoke
- ->lead to mutagenesis
viruses: HPV

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6
Q

Cancer genes

A

certain genes, when mutated, can lead to tumorigenesis
oncogenes
tumor suppressor genes

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7
Q

oncogenes

A

genes that function in cell growth and profile ration. Hit by gain of function mutations can lead to uncontrolled cell division Eg., Ras, MYC

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8
Q

tumor suppressor genes

A

genes that normally protect a cell from tumorigenesis. Hit by loss of function mutations such as Rb

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9
Q

Gain of function

A

Mutations that lead to increased activity or a novel activity of the gene

Oncogenetic GOF mutations are recurrent, i.e. you find the same mutation in many tumors

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10
Q

Loss of function

A

mutation leads to decreased activity of the gene

many ways to break a gene, particular mutations often not reccurrent

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11
Q

Classes of mutation type

A
  • point mutations
  • translocations and rearrangements
  • amplifications and deletions
  • viral insertions
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12
Q

Point mutations in cancer

A

-missense: amino acid changes lead to GOF or LOF
-stop gain: results in truncated protein, NMD
, typically LOG
-stop loss: results in protein extension
-splice site: alters transcript isoform
TERT promoter mutation recurrent in melanoma

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13
Q

Transolocation in cancer

A

large scale breakage and/or union of chromosomal segments

often lead to gene fusions
change expression level of gene
remove an ibhinoty domain of protein
this would lead to GOF

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14
Q

Philadelphia Chromosome

A

found in 95% of chronic myelogenous leukemia(CML) cases
reciprocal translocation between chromosomes 9 and 22
discovered by now eel and hugnerfor at pen/fox chase in 1960
characterized by janet rowly in chicago 13 years later
creates the BCR-ABL fusion a constitutively active tyrosine kinase

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15
Q

Amplification and deletions in cancer

A

-another mechanism to produce gain or loss of function mutations

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16
Q

common amplifications

A

BrCa: MYC, HER2, FGFR1/2
Colon: H/kras, myb
Glioblastoma EGFR

17
Q

Genomic technologies for mutation detection

A
  • point mutations: WGS, WES, targeted sequencing panels, paired tumor and normal sequencing
  • amplification and deletions: WGS, SNP chips
  • Translocations and rearrangements: RNAseq, large insert WGS, copy number neutral or associated with change in ploidy, precise break points often difficult to delineate
18
Q

Large scale genome projects

A

TCGA
International Cancer Genome Consortium
COSMIC

19
Q

TCGA

A

The cancer genomes atlas
$220 m from NIH
20+ tumor types
WGS, WES, SNP chips, RNAseq

20
Q

International Cancer Genome Consortium

A

50 tumor types

500 samples each

21
Q

COSMIC

A

Catalog of Somatic Mutations in Cancer

curated database of mutations reported in the literature

22
Q

HRAS

A

one of the first and best characterized oncogenes

>95% of somatic mutations occur at 3 residues and these mutations lead to constitutive activity

23
Q

TP53

A

One of the first and best characterized tumor suppressor gene
broad patters of mutations and LOF

24
Q

Drivers vs Passengers

A

Vast majority of mutations identified in tumors have no functional consequence
Drivers = adaptative somatic mutations
passengers = neutral hitchhikers

25
Q

How do we identify drivers?

A

functional studies are always gold standard but very difficult
rely on statically significant recurrence of mutations at a particular base or gene
more mutations in a gene then we would except by chance

26
Q

Lawrence 2013

A

Mutation rate heterogeneity across tumor types
whole exome sequencing
mutation rates varied both between and within cell types

27
Q

mutation spectra

A

focusing on what types of mutation observed rather than how much
c–>a
c–>t
tumors have different types of mutations

28
Q

tumors

A

evolve rapidly
different muttation, uniqe to tumors
hetergenous mixes of clones

29
Q

Gerlinger 2012

A

WES on 8 biopsies of primary tumor and 3 from metastases (kidney cancer)
results: pattern of mutation sharing demonstrated extensive sub clonality , early branching of metastasis
phylogenetic tree comparing tumors

30
Q

Nik-Zainal 2012

A

sequence a bunch of different areas of a tumor we will see different clones
used read depth and allele frequency to infer copy # state across the genome

this can make inferences of clusters
and model the evolutionary process based on relatedness between mutational clusters

31
Q

gene expression profiling in cancer

A

sorlie 2001
many tumor collections gene expression profiled
many tumor types (breast) often cluster into distinct subtypes have very distinct gene expression profiles

32
Q

Large scale meta-analyses

A

Laurie 2012 analyzed SNP-chip genotypes from 50k whole blood samples
detected sub clonal mosaicism that rises rapidly with age
young subjects in gwas have low mosaicism until 50