Back

Effective Tyrosine Kinase Inhibitors result in the intracellular accumulation of EGFR and allows response prediction in patients

de Wit, M.; Gao, Y.; Mercieca, D.; de Heer, I.; Valkenburg, B.; van Royen, M.; Aerts, J.; Sillevis Smitt, P.; French, P.

2019-10-21 cancer biology
10.1101/798314 bioRxiv
Show abstract

Clinical responses to EGFR tyrosine kinase inhibitors are restricted only to tumors harboring specific activating mutations and even then, not all tyrosine kinase inhibitors provide clinical benefit. We here show that the addition of EGFR-TKIs results in a strong and rapid intracellular accumulation of the protein. However, this accumulation was observed only in the context of a combination of a TKI-sensitive mutation with a clinically effective TKI: TKI-insensitive mutations did not show this accumulation nor did clinically ineffective TKIs induce accumulation. All TKIs effectively inhibited EGFR phosphorylation and downstream pathway activation, irrespective of the mutation present in EGFR. The discrepancy between molecular activity of TKIs and their efficacy in patients therefore is mimicked by the mutation- and TKI-specificity of intracellular accumulation. Using this intracellular accumulation as assay, we were able to predict response to gefitinib in a panel of cell-lines (harboring different EGFR mutations) and predicted clinical benefit to EGFR TKIs on a cohort of unselected pulmonary adenocarcinoma patients (hazard ratio 0.21, P=0.0004). Even in patients harboring rare mutations with unknown TKI-sensitivity, intracellular accumulation was predictive of the clinical response. The intracellular accumulation depended on a continued presence of TKI indicating that TKIs exert a continued effect on the protein even after its dephosphorylation. It is therefore possible that accumulation is caused by conformational changes induced by both the mutation and the TKI and this change induces a block in intracellular trafficking. Interestingly, intracellular accumulation was observed independent of the genetic background of the cell, indicating that accumulation is almost entirely dictated by the combination of mutation and TKI. Our results therefore suggest that TKI-sensitivity is tumor-type independent.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Biochemical Journal
91 papers in training set
Top 0.1%
13.1%
2
Molecular Oncology
55 papers in training set
Top 0.1%
10.0%
3
Oncogene
85 papers in training set
Top 0.2%
8.0%
4
Cancers
213 papers in training set
Top 0.9%
6.4%
5
PLOS ONE
5266 papers in training set
Top 28%
5.6%
6
Cancer Letters
35 papers in training set
Top 0.1%
4.1%
7
International Journal of Molecular Sciences
494 papers in training set
Top 3%
3.3%
50% of probability mass above
8
Scientific Reports
3612 papers in training set
Top 32%
3.3%
9
FEBS Open Bio
31 papers in training set
Top 0.1%
3.3%
10
Cancer Gene Therapy
11 papers in training set
Top 0.1%
2.8%
11
Nature Communications
5641 papers in training set
Top 43%
1.9%
12
Clinical Cancer Research
64 papers in training set
Top 1.0%
1.9%
13
eLife
5828 papers in training set
Top 48%
1.8%
14
Biochemical Pharmacology
20 papers in training set
Top 0.2%
1.8%
15
Cancer Research
130 papers in training set
Top 2%
1.5%
16
British Journal of Cancer
49 papers in training set
Top 0.9%
1.5%
17
Molecular Cancer Therapeutics
40 papers in training set
Top 0.6%
1.1%
18
Frontiers in Oncology
103 papers in training set
Top 3%
1.1%
19
Cells
249 papers in training set
Top 5%
1.1%
20
Cellular and Molecular Life Sciences
96 papers in training set
Top 2%
0.9%
21
Communications Biology
993 papers in training set
Top 27%
0.9%
22
npj Precision Oncology
53 papers in training set
Top 1%
0.9%
23
Pharmaceuticals
34 papers in training set
Top 1.0%
0.9%
24
Translational Oncology
21 papers in training set
Top 0.8%
0.9%
25
Molecular Pharmacology
17 papers in training set
Top 0.2%
0.9%
26
Cell Chemical Biology
94 papers in training set
Top 2%
0.9%
27
Molecular Cancer Research
49 papers in training set
Top 1%
0.9%
28
NAR Cancer
37 papers in training set
Top 0.6%
0.9%
29
Cell Death & Disease
126 papers in training set
Top 4%
0.6%
30
Frontiers in Pharmacology
111 papers in training set
Top 3%
0.6%