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Table 4 Expected benefit of drug combination in breast cancer therapy using entropy data from Additional file 2: Table S2 and the relationship y = −0.0005*x + 11.4732

From: Optimization of combination chemotherapy based on the calculation of network entropy for protein-protein interactions in breast cancer cell lines

 

Targets

Drug combination

Benefit, %

BT-20

 

157

P00533

EGFR

Gefitinib, erlotinib, cetuximab, lapatinib, panitumumab, vandetanib, trastuzumab, pertuzumab, afatinib, neratinib, AZD9291, CLO-1686a [15]

120

P62258

YWHAE

Fusicoccinc [16]

91

MDA-MB-231

 

157

P31946

YWHAB

Difopeinb [17], R18c [18]

127

P62258

YWHAE

Fusicoccinc [16]

104

MDA-MB-468

 

229

P00533

EGFR

Gefitinib, erlotinib, cetuximab, lapatinib, panitumumab, vandetanib, trastuzumab, pertuzumab, afatinib, neratinib, AZD9291, CLO-1686a [15]

146

P31946

YWHAB

Difopeinb [17], R18c [18]

140

P62258

YWHAE

Fusicoccinc [16]

116

MCF-7

 

216

P62993

GRB2

CGP78850c [19], C90b [20]

195

P06748

NPM1

NSC348884c [21]

111

T-47D

 

105

P62258

YWHAE

Fusicoccinc [16]

 

ZR-75-1

 

236

P62993

GRB2

CGP78850c [19], C90b [20]

162

P62258

YWHAE

Fusicoccinc [16]

89

P51858

HDGF

HDGF-H3b [22]

81

P06748

NPM1

NSC348884c [21]

79

BT-474

 

214

P31946

YWHAB

Difopeinb [17], R18c [18]

151

P04626

ERBB2

Trastuzumab, pertuzumab, NeuVax vaccinea [23]

130

P62258

YWHAE

Fusicoccinc [16]

127

  1. aClinical trials
  2. bPre-clinical animal models
  3. c In vitro assays