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Table 1 Biomarker scoring for six drugs according to [3]

From: Translatability scoring in drug development: eight case studies

Points to evaluate

Dabigatran

Ipilimumab

Gefitinib

Gefitinib*

Vilazodone

Latrepirdine

Semagacestat

1

5 [4]

3 [5]

5 [6, 7]

5 [6–10]

3 [11]

-

5 [12, 13]

2

5 [4]

1 [5]

3 [6, 7, 14]

4 [6, 7, 10, 14]

1 [15]

-

5 [12, 13]

3

3 [16, 17]

5 [5]

3 [1]

5 [1]

1

-

3 [18, 19]

4

3 [20, 21]

2 [5]

5 [1]

5 [1, 10, 22]

1

-

0 [23]

5

1

5 [5]

5 [24, 25]

5 [8, 9]

5 [26, 27]

-

1 [23]

6

10 [20, 21]

4 [5]

10 [24, 25]

10 [8–10, 22, 28]

6 [26, 27]

-

0 [23]

7

4 [29]

5 [5]

4 [30]

5 [28, 30]

1

-

1 [23]

8

3 [31]

4

4

5

1 [32]

-

5 [33, 34]

9

3 [35]

4

4

5

1 [32]

-

4

10

5 [36]

5 [1, 5]

5 [1]

5 [1]

5 [11]

-

4

Sum

42

38

48

54

25

0

0

  1. *after the development of the pivotal biomarker (EGFR mutation status)
  2. The leading biomarkers evaluated were: aPTT for dabigatran, immune related response criteria for ipilimumab, effects on tumor growth for gefitinib, tumor growth and mutation status of EGFR for gefitinib, Hamilton Rating scale for depression-17 for vilazodone, none for latrepirdine, and effects on amyloid plaques for semagacestat.
  3. Points to evaluate:
  4. 1. Are animal or in vitro data available?
  5. 2. How many species have been tested positively?
  6. 3. Are the animal models enough to reflect human disease?
  7. 4. Is there corresponding clinical data?
  8. 5. Are human data available?
  9. 6. Human data classification (2x)
  10. 7. Does the biomarker represent a pivotal disease constituent?
  11. 8. What is the statistical predictability?
  12. 9. What is the accuracy or reproducibility of the assay?
  13. 10. How accessible is the specimen?