Review Article

Predictive Factors of Response to Biological Disease Modifying Antirheumatic Drugs: Towards Personalized Medicine

Table 2

Main predictive factors of response to biological therapy.

Factors associated with good response to Tumor necrosis factor inhibitorsTocilizumab Abatacept Rituximab

Patients characteristicsMale (C) [79]
Younger (C) [7, 8]
Nonsmoker (C) [10, 1921]
Nonobese for IFX (C) [16, 17]
Use of MTX (C) [7, 8, 10, 11]
Older (NC) [12] Younger (NC) [13]Male (NC) [15]
Disease characteristicsLow HAQ (C) [7, 10, 17, 20]
High DAS28 (C) [7, 8, 17]
ACPA or RF negativity (C) [20, 31]
Low number of previous biological therapies (C) [8]
Low HAQ and high DAS28 [13]High DAS28 [14]
RF positivity (C) [32]
Low HAQ and high DAS28 [15, 32]
RF positivity +++ (C) [32]
Low number of previous biological therapies (C) [29]
Immunogenicity Antidrug antibodies against ADA or IFX for response to ETN (NC) [39]
Genetic backgroundPTPRC = CD45 (rs10919563) (C) [41, 42], 7 SNPs including EYA4 (rs17301249) and PDZD2 (rs1532269) (NC) [43]158VV FCGR3A in European countries (C) [44, 45]
Cytokines and immune cellsHigh TNF bioactivity in blood [5] or in synovium [49] (NC), high LPS-stimulated whole blood IL-1b (NC) [48], low IL-17 (NC) [6]
24-biomarker ETN response signature including autoantibodies and cytokines (C) [53]
High serum IL-6 levels (NC) [54] Low levels of CD4+ and CD8+ CD28− T cells (NC) [61]Memory B cells (NC) [57, 58]

C: confirmed; NC: not confirmed. To be confirmed, the data had to be validated at least by two independent teams.