Back

Tumor suppressor p73 transcriptionally regulates c-FLIP to impede its priming of extrinsic apoptosis while a switcher compound degrades c-FLIP protein

Zhang, S.; Zhou, L.; El-Deiry, W. S.

2024-04-26 cancer biology
10.1101/2024.04.21.590479 bioRxiv
Show abstract

The tumor suppressor p73 is a member of the p53 family and transcriptionally activates multiple p53-targets involved in cell cycle regulation and apoptosis. In addition to pro- apoptotic signaling, outcomes of p73 activation include cell survival signals. Thus, p73 activity and targets may provide insight in cell fate outcomes between cell survival and apoptosis following cellular stress. We report that cellular FLICE inhibitory protein (c- FLIP), a master antiapoptotic factor, is a transcriptional target of p73. The activation of p73 ( and {beta} isoforms) transcriptionally upregulates c-FLIP-L/S expression in cancer cells. The cell fate decision following p73 activation is determined by the adjustment of the balance of outcomes of p73 activation between p73-induced pro-apoptotic signaling and c-FLIP-L/S expression in cancer cells. p73 primes extrinsic apoptosis via an autocrine death ligand-DR5 axis, and the priming appears to be titrated at the level of c-FLIP-L/S. The p73-upregulation of c-FLIP-L/S increases the threshold of extrinsic apoptosis. Cells with poor priming levels convert to cell cycle arrest and survival. Depletion of c-FLIP-L/S increases the p73-priming levels towards extrinsic apoptosis and sensitizes cancer cells to p73-primed extrinsic apoptosis. We further identified a small-molecule CB-7587351 ("switcher compound") that alters p73 activation outcomes through c-FLIP-L/S protein degradation. Therapeutic activation of p73 can restore p53- signaling in mutant p53-expressing cancer cells effectively bypassing the p53 deficiency in cancer cells. Our discovery of p73 transcriptional upregulation of c-FLIP provides a promising strategy for depleting c-FLIP to improve antitumor efficacy of p73-targeting cancer therapy for p53-mutant tumors.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Cell Death & Disease
126 papers in training set
Top 0.1%
31.1%
2
Cancer Letters
35 papers in training set
Top 0.1%
6.7%
3
eLife
5828 papers in training set
Top 21%
5.5%
4
Cell Death Discovery
58 papers in training set
Top 0.1%
4.3%
5
Cell Death & Differentiation
48 papers in training set
Top 0.1%
4.3%
50% of probability mass above
6
iScience
1154 papers in training set
Top 8%
3.1%
7
Translational Oncology
21 papers in training set
Top 0.2%
2.4%
8
Oncogene
85 papers in training set
Top 0.8%
2.4%
9
Molecular Oncology
55 papers in training set
Top 0.5%
2.1%
10
Molecular Cancer Therapeutics
40 papers in training set
Top 0.5%
1.7%
11
Redox Biology
70 papers in training set
Top 0.6%
1.7%
12
Scientific Reports
3612 papers in training set
Top 56%
1.7%
13
International Journal of Molecular Sciences
494 papers in training set
Top 9%
1.5%
14
Theranostics
37 papers in training set
Top 0.6%
1.4%
15
Acta Biochimica et Biophysica Sinica
23 papers in training set
Top 0.3%
1.4%
16
Cells
249 papers in training set
Top 4%
1.3%
17
PLOS ONE
5266 papers in training set
Top 53%
1.3%
18
Cancers
213 papers in training set
Top 4%
1.1%
19
Neoplasia
23 papers in training set
Top 0.5%
1.1%
20
Cell Reports
1498 papers in training set
Top 24%
1.1%
21
Journal of Biological Chemistry
690 papers in training set
Top 10%
0.6%
22
The FASEB Journal
194 papers in training set
Top 7%
0.6%
23
Journal of Clinical Investigation
179 papers in training set
Top 6%
0.6%