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Assessing unintended
hybridization induced
biological effects of
oligonucleotides
Based on a position paper by
Oligonucleotide Safety Working Group
Subcommittee on Off-target assessment

Draft position paper has been distributed with meeting materials


NIH RNA Oligonucleotides Meeting, December 2011


Presented by Morten Lindow, mol@santaris.com
The ‘off-target subcommittee’
•   Arthur A. Levin, Santaris Pharma A/S
•   Donald Riley, DNA Consulting, LLC
•   Douglas J. Kornbrust, Preclinsight
•   Hans-Peter Vornlocher, Roche Kulmbach GmbH
•   Husam Younis, Isis Pharmaceuticals
•   James D. Thompson, Quark
•   Joanne Kamens, RXi Pharmaceuticals
•   Joel Parry, GlaxoSmithKline R&D Ltd.
•   Morten Lindow, Santaris Pharma A/S
•   Nicolay Ferrari, Topigen Pharmaceuticals Inc.
•   Sara Nochur, Alnylam
•   Scott P. Henry, Isis Pharmaceuticals
•   Steven Bartz, Merck Inc
Mechanisms of toxicity for
   oligonucleotides




    Scope of this session: off-target toxicity = toxicity caused by the Watson-Crick
    basepairing between an oligonucleotide and an unintended target

Bennett et al. Annu. Rev. Pharmacol. Toxicol. 2010.50:259-293
Predictability of putative off-
targets is a strength
Protein <– small molecule               RNA <- oligonucleotide




                                                  CGCUGUGAGGUG
                                                  GUA
                                         …GGGCGACACUCCACCAUGAAU……
                                                  |||||||||||||||
                                                 ?
                                                             ?
                                …GGGCGACACUCCACCAUAUCCGCUAUCUAGAAU……
                                                                     ?
                                                    …GGGCGACACUCCACCAUAUCCGCUAUCUAGAAU……

                                     …GGGCGACACUCCACCAUAUCCGCUAUCUAGAAU……




In silico drug design and               In silico drug design and
specificity assesment is HARD           specificity assesment is ‘EASY’
Recommendation #1: “Candidate drug sequences (ASO and siRNAs) should
be selected to minimize potential binding to and inhibitory activity on
unintended RNAs“

 • Perhaps not so “EASY”
 • Specificity is a quantitative trait. The objective is to:
    • Maximize effect on intended target knock down, while minimizing
      effect on off-target knockdown
 • Molecular factors governing activity of an oligonucleotide on
   an RNA (off)-target
    • Affinity to (off)-target site
    • Tolerance of RISC and RNAseH
       • Position of mismatches and bulges, possible context requirements
    • Target site accessibility (RNA folding, protein binding)
In silico screening of
candidates
• In silico algorithms will never be perfect
• Algorithms will depend on
  • mechanism (RNAseH, RISC, steric block)
  • chemistry of the oligonucleotide
• Algorithms are under continuous development to align with
  increasing experimental data
  •  Merck talk
  •  Santaris talk
Recommendation #2: Interpretation of
in silico predicted off-targets
• In vivo expression pattern of the off-target RNA
  • Overlap with tissues of drug accumulation
• Function of off-target RNA
  • knock-out / knock-down phenotype
  • OMIM etc
• Is the off-target site also present in species used in toxicity
  studies?
Experimental follow-up on
critical off-target hits
• Validation. Relative potency between on- and off-target
  • E.g. qPCR in human cell lines.
Recommendation #3: in vivo
preclinical tox studies
• Oligonucleotides are not essentially different from other drug
  classes
• Penultimate test of relevance of off-target findings are in vivo
  studies in animal models
• Understanding that the only way to truly test for human
  responses is in carefully controlled and monitored clinical
  trials
Candidate
                                                     oligonucleotide drug


 Summary                 Technology
                            and                        In silico off-target
                         mechanism                                                                Database of
                                                              screen                               transcripts
                           based

• Off-target screening   algorithms




  is only one among           Case by case evaluation of putative off-targets may include:


  many other factors             Comparison of tissue
                                   expression of off-                         Function of putative
                                                                              off-target if known,
                                   target with tissue
  used to select                 accumulation of drug
                                       candidate
                                                                               e.g. phenotype of
                                                                               genetic knock-out

  compounds                       In vitro validation of
                                   critical putative off-                 off-target present in
                                          targets.                            tox species?
                                    Relative IC50 in
                                     human cell line




                                      Penultimate test: Preclinical toxicity studies in vivo




                                                         Proceed to human
                                                              testing

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OSWG Off-target position

  • 1. Assessing unintended hybridization induced biological effects of oligonucleotides Based on a position paper by Oligonucleotide Safety Working Group Subcommittee on Off-target assessment Draft position paper has been distributed with meeting materials NIH RNA Oligonucleotides Meeting, December 2011 Presented by Morten Lindow, mol@santaris.com
  • 2. The ‘off-target subcommittee’ • Arthur A. Levin, Santaris Pharma A/S • Donald Riley, DNA Consulting, LLC • Douglas J. Kornbrust, Preclinsight • Hans-Peter Vornlocher, Roche Kulmbach GmbH • Husam Younis, Isis Pharmaceuticals • James D. Thompson, Quark • Joanne Kamens, RXi Pharmaceuticals • Joel Parry, GlaxoSmithKline R&D Ltd. • Morten Lindow, Santaris Pharma A/S • Nicolay Ferrari, Topigen Pharmaceuticals Inc. • Sara Nochur, Alnylam • Scott P. Henry, Isis Pharmaceuticals • Steven Bartz, Merck Inc
  • 3. Mechanisms of toxicity for oligonucleotides Scope of this session: off-target toxicity = toxicity caused by the Watson-Crick basepairing between an oligonucleotide and an unintended target Bennett et al. Annu. Rev. Pharmacol. Toxicol. 2010.50:259-293
  • 4. Predictability of putative off- targets is a strength Protein <– small molecule RNA <- oligonucleotide CGCUGUGAGGUG GUA …GGGCGACACUCCACCAUGAAU…… ||||||||||||||| ? ? …GGGCGACACUCCACCAUAUCCGCUAUCUAGAAU…… ? …GGGCGACACUCCACCAUAUCCGCUAUCUAGAAU…… …GGGCGACACUCCACCAUAUCCGCUAUCUAGAAU…… In silico drug design and In silico drug design and specificity assesment is HARD specificity assesment is ‘EASY’
  • 5. Recommendation #1: “Candidate drug sequences (ASO and siRNAs) should be selected to minimize potential binding to and inhibitory activity on unintended RNAs“ • Perhaps not so “EASY” • Specificity is a quantitative trait. The objective is to: • Maximize effect on intended target knock down, while minimizing effect on off-target knockdown • Molecular factors governing activity of an oligonucleotide on an RNA (off)-target • Affinity to (off)-target site • Tolerance of RISC and RNAseH • Position of mismatches and bulges, possible context requirements • Target site accessibility (RNA folding, protein binding)
  • 6. In silico screening of candidates • In silico algorithms will never be perfect • Algorithms will depend on • mechanism (RNAseH, RISC, steric block) • chemistry of the oligonucleotide • Algorithms are under continuous development to align with increasing experimental data •  Merck talk •  Santaris talk
  • 7. Recommendation #2: Interpretation of in silico predicted off-targets • In vivo expression pattern of the off-target RNA • Overlap with tissues of drug accumulation • Function of off-target RNA • knock-out / knock-down phenotype • OMIM etc • Is the off-target site also present in species used in toxicity studies?
  • 8. Experimental follow-up on critical off-target hits • Validation. Relative potency between on- and off-target • E.g. qPCR in human cell lines.
  • 9. Recommendation #3: in vivo preclinical tox studies • Oligonucleotides are not essentially different from other drug classes • Penultimate test of relevance of off-target findings are in vivo studies in animal models • Understanding that the only way to truly test for human responses is in carefully controlled and monitored clinical trials
  • 10. Candidate oligonucleotide drug Summary Technology and In silico off-target mechanism Database of screen transcripts based • Off-target screening algorithms is only one among Case by case evaluation of putative off-targets may include: many other factors Comparison of tissue expression of off- Function of putative off-target if known, target with tissue used to select accumulation of drug candidate e.g. phenotype of genetic knock-out compounds In vitro validation of critical putative off- off-target present in targets. tox species? Relative IC50 in human cell line Penultimate test: Preclinical toxicity studies in vivo Proceed to human testing

Notas do Editor

  1. These hybe dependent effects are unique to