individualizing treatment choices for people with IBD This is what - - PowerPoint PPT Presentation

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individualizing treatment choices for people with IBD This is what - - PowerPoint PPT Presentation

Designer management is here individualizing treatment choices for people with IBD This is what we all want! We are not there yet, but we are learning and making progress! Objectives To review tools that we already have Identifying


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Designer management is here – individualizing treatment choices for people with IBD

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This is what we all want!

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We are not there yet, but we are learning and making progress!

Objectives

  • To review tools that we already have
  • Identifying the right patients for the right

treatment strategy

  • Looking towards the future of personalized

medicine

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Already in our toolbox

  • TPMT genetic testing and dose optimization for

thiopurines (6-mercaptopurine/azathioprine)

  • Therapeutic drug monitoring for biologics
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Enzyme levels (TPMT) to help with 6MP and azathioprine dosing

Gearry RG et al. Intern Med J. 2005 Oct;35(10):580-5

Intermediate – 11% Normal – 89%

100

severe neutropenia

20 40 60 80 1 3 5 7 9 11 13 15 17 19 21

TPMT enzyme activity (IU/ml) Number of patients (%) Poor – 0.3%

More likely to respond

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Therapeutic drug monitoring (TDM)

  • REactive drug monitoring: our norm. Wait

until something bad happens (e.g., loss of response, infusion reaction) then try to fix it

  • PROactive drug monitoring: optimize dosing

to maximize chance of and prevent loss of response

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Proactive therapeutic drug monitoring to optimize infliximab maintenance therapy in IBD

  • Patients with IBD in clinical remission on infliximab
  • Infliximab dose optimization to trough concentrations 5–10 µg/mL (n=48)

versus

  • No infliximab dose optimization (n=78)

Vaughn BP, et al. Inflamm Bowel Dis 2014;20:1996–2003

Dose optimization increases probability of remaining on infliximab up to 5 years

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Can one determine a prognosis to help identify the best treatment strategy for the individual patient?

Aggressive, fast moving Mild, slow moving

9

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Predictors of more severe Crohn’s disease

Risk Factor Age of onset < 40 years Small bowel and colonic disease Smokers Perianal lesion at diagnosis Required steroids for first flare

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Blood test antibody markers can help us

Antibody Antigen ASCA

Mannose of saccharomyces cerevisiae

pANCA

Neutrophils

OmpC

Outer membrane porin

I2

Pseudomonas fluorescens

CBir1

Flagellin

ACCA

Glycan (chitobioside)

ALCA

Glycan (laminaribioside)

AMCA

Glycan (mannobioside)

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20 40 60 80 100

Frequency of Disease Behavior %

Number of Antibody Responses

Blood tests (antibody tests) can predict disease severity

Uncomplicated Penetrating Stricturing*

N=199 1 N=262 2 N=194 3 N=57

Surgery *P trend < 0.0001

Dubinsky et al, Clin Gastroenterol Hepatol 2008

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Genetics can help us predict who will develop a stricture in their bowel more quickly

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Can we predict the future?

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A patient communication tool to display individualized Crohn’s disease predicted

  • utcomes based on clinical, serologic and genetic

variables

Siegel, et al. APT 2016

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We learned from patients and designers

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The future is soon

  • There is progress on understanding who will

respond to specific biologic therapies

  • Clinical markers
  • Genetic markers
  • Cytokine markers
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Predicting response to etrolizumab

  • Etrolizumab is a anti-β7 antibody
  • Recognized that patients with colon tissue expressing high levels of

integrin αE gene (ITGAE) had better responses

  • Differences of ITGAE and GZMA (granzyme A) mRNA levels can

identify patients with UC who are most likely to respond to etrolizumab

Tew GW, et al. Gastroenterology 2016;150:477.

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Designer Management for IBD is here!