Personalised genomics: bench to bedside Flashcards

1
Q

Uses of personalised genomics

A

Grouping patients based on risk of disease or response to therapy

  • Therapy selection
  • Group subpopulations uniquely susceptible to a disease or responsive to a specific therapy

Tailoring treatment to the individual characteristics of each patient

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2
Q

What does personalised medicine use?

A

Combines knowledge about a person (genes, proteins and environment) to predict disease susceptibility, prognosis or treatment response

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3
Q

What does stratification mean?

A

Division of patients with a particular disease into subgroups based on a specific characteristic who respond more frequently to a particular drug or are at a decreased risk of side effects in response to a certain treatment

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4
Q

What is personalised medicine?

A

Tailoring therapy to the individual patient

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5
Q

What is precision medicine?

A

Targeting patients to specific therapies

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6
Q

What is statified medicine?

A

Separating patients to therapy groups

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7
Q

What percentage of patients respond positively to a drug?

A

30-70%

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8
Q

Why is stratified medicine useful?

A

The one-size-fits-all drug approach is dysfunctional, since patients vary in their response to the same drug due to genetic variations found between different individuals

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9
Q

What does stratified medicine provide?

A

More inclusive patient groups allowing for everyone to have a positive respond to the drug tested

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10
Q

What are the two aims of patient stratification?

A

Improve outcomes

Reduce adverse events

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11
Q

Examples of targeted therapies

A

Hormone therapies

Signal transduction inhibitors

Gene expression modulators

Apoptosis inducers

Angiogenesis inhibitors

Immunotherapies

Monoclonal antibodies

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12
Q

Goal for hormone therapy

A

Slow or stop the growth of hormone-sensitive tumours

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13
Q

For which cancers have hormone therapies been approved?

A

Breast cancer

Prostate cancer

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14
Q

Goal of signal transduction inhibitors

A

Block the activities of molecules that participate in signal transduction

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15
Q

What is a key feature of regarding signal transduction pathways?

A

The mutations are mutually exclusive

So a cancer cell is dependent on the mutation of just one of the signalling pathways

Two signalling pathways cannot be mutated at the same time

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16
Q

How do gene expression modulators work?

A

Modify the gunction of histones or other epigenetic proteins that play a role in controlling gene expression

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17
Q

Goal of monoclonal antibodies

A

Deliver toxic molecules

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18
Q

What information is obtained from Sophia genetics?

A

Reports mutation in cancer to

  • define pathogenicity
  • identify cancer drivers
  • highlight publications and potential existing therapeutic options
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19
Q

What is the most difficult jobs for bioinformaticians?

A

Analyse the data and decipher what is important and what is not

Needs to clear out all the non-deleterious SNPs and genomic data to identify driver and germline mutations

20
Q

Why is there no point in looking at all of the genome for identifying cancer mutations?

A

40-50% of cancers are caused by the same mutations to JAK/STAT or KRAS

The rest of the mutations have no therapy

21
Q

Which mutations cause most of the cancers?

A

JAK/STAT

KRAS

22
Q

Are drugs the only way personalised medicine can be used for?

A

NO

Can also be applied for other types of therapy

23
Q

Examples of genomic markers being used for extra-pharmacological therapies

A

Current treatment for bladder cancer is chemotherapy and radiotherapy

Two predictive markers have been identified which can help treatment selection of either surgery or radiotherapy

AIMP3 and ERCC1

24
Q

What is AIMP3?

A

Positive predictive marker for radiotherapy

Translocated to the nucleus in response to DNA damage, helping apoptosis

25
How does AIMP3 increase apoptosis?
Translocates to the nucleus following radiotherapy-induced DNA damage Helps ATM/ATR-mediated p53 activation and subsequently triggers apoptosis
26
What is ERCC1?
A negative predictive marker for radiotherapy
27
What type of protein is ERCC1?
DNA excision repair protein Functions to repair damaged DNA
28
What has measuring ERCC1/AIMP3 biomarkers shown?
>80% survival at 3 years for AIMP+ve/ERCC1-ve <20%survival at 3 years for AIMP3-ve/ERCC1+ve When given radiotherapy
29
Examples of patient specific therapies
CAR T cells Achilles therapeutics
30
What are CART cells?
Chimeric antigen receptors Receptors are grafted onto an immune effector cell and transfected with CD19 CAR genes Chimeric T-cells are made which recognise CD19 as an antigen CD19 is detected by these CAR T cells
31
Which cells express CD19?
All B-cell malignancies including chronic lymphocytic leukemia, ALL and non-Hodgkin's lymphoma
32
What mutations lead to B-cell malignancies?
BCR ABL mutations
33
Advantages of CAR-T cells
Works in >80% of patients with pediatric ALL Truly patient specific Few side effects Cost
34
Disadvantages of CAR-T cells
Costs Time Response rates are poor in solid tumours
35
Company that has developed CAR-T cells
Novartis
36
What is Achilles therapeutics?
Company developing immune therapy for specific truncal neoantigens
37
Why must the administration of warfarin be carefully controlled?
Narrow therapeutic window
38
Which class of genes are mutated in warfarin sensitivity?
CP450
39
Examples of genes linked to warfarin sensitivity
CYP2C9 VKORC1
40
What percentage of the variation of warfarin metabolism do these polymorphisms account for?
30% of the variation
41
Example of a technology that aims to replace the lab based test for warfarin sensitivity
Quantum DC
42
What is the goal of personalised medicine?
Providing the right medicine to the right patient at the right dose at the right time
43
How does personalised medicine aim to carry out its goal?
Through tailoring medical treatment based on the individuals biological data, needs and preferences throughout all stages of care including prevention, diagnosis and treatment
44
Genetics behind quitting smoking
Smokers with a fast metabolism do not do well on nicotine patches
45
Which genes control nicotine metabolism?
CYP2A6 CHRNA5
46
Chen et al
Time of smoking relapse was associated with CYP2A6 genotype-based estimates of nicotine metabolism