Back

Mitochondrial genome-encoded mitomiRs regulate cellular plasticity and susceptibility to ferroptosis in triple-negative breast cancer

Kandettu, A.; Ghosal, J.; Tharayil, J. S.; Kuthethur, R.; Mallya, S.; Narasimhamurthy, R. K.; Mumbrekar, K. D.; Subbannayya, Y.; Kumar, N. A. N.; Radhakrishnan, R.; Kabekkodu, S. P.; Chakrabarty, S.

2024-11-18 cancer biology
10.1101/2024.11.16.623958 bioRxiv
Show abstract

Ferroptosis is a distinct form of regulated cell death promoted by iron-dependent lipid peroxidation. The metabolic plasticity of cancer cells determines their sensitivity to ferroptosis. Although mitochondrial dysfunction contributes to metabolic reprogramming in cancer cells, its role in ferroptosis remains to be identified. We identified that the mitochondrial genome encodes 13 miRNAs (mitomiRs) that are highly expressed in breast cancer cell lines and patient-derived tumor samples. Expression analysis revealed that mitomiRs are upregulated in basal-like triple-negative breast cancer (TNBC) cells compared to mesenchymal stem-like TNBC cells. Interestingly, 11 out of the 13 mitomiRs bind to the 3'UTR of zinc finger E-box-binding homeobox 1 (ZEB1), a transcription factor, involved in epithelial to mesenchymal transition (EMT) in breast cancer. Using mitomiR-3 mimic, inhibitor and sponges, we confirmed that mitomiR-3 indeed regulate ZEB1 expression in TNBC cells. Increased mesenchymal features in TNBC contributed to vulnerability to pro-ferroptotic metabolic reprogramming sensitizing to cell death in in vitro and in vivo models. Some of the challenges associated with pro-ferroptotic drugs includes lack of cancer cell specificity, low targeting ability, normal tissue toxicity contributing to their limited clinical application as cancer therapeutics. Here, we identified mitomiRs which are highly expressed in TNBC subtypes with low expression in normal breast cells making them an ideal candidate for selective inhibition for targeted therapy. Further, we demonstrated that the inhibition of mitomiRs in triple-negative breast cancer cells promote pro-ferroptotic metabolic reprogramming which can be exploited as novel vulnerability for targeted ferroptotic induction in cancer cells avoiding the normal tissue toxicity. Collectively, our results indicate a novel mechanism of mitochondrial miRNA mediated ferroptosis sensitivity in TNBC subtypes which could be exploited to develop potential miRNA-based therapeutics.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
Cell Death & Disease
126 papers in training set
Top 0.1%
19.0%
2
Cancers
200 papers in training set
Top 0.3%
10.2%
3
eLife
5422 papers in training set
Top 20%
4.2%
4
Cell Reports
1338 papers in training set
Top 12%
4.0%
5
Redox Biology
64 papers in training set
Top 0.2%
3.7%
6
BMC Cancer
52 papers in training set
Top 0.6%
3.6%
7
Cell Death Discovery
51 papers in training set
Top 0.2%
3.3%
8
Scientific Reports
3102 papers in training set
Top 41%
3.1%
50% of probability mass above
9
Cell Death & Differentiation
48 papers in training set
Top 0.1%
2.1%
10
iScience
1063 papers in training set
Top 11%
1.9%
11
Oncogene
76 papers in training set
Top 1.0%
1.7%
12
Frontiers in Oncology
95 papers in training set
Top 2%
1.7%
13
Nature Communications
4913 papers in training set
Top 51%
1.7%
14
Cells
232 papers in training set
Top 3%
1.7%
15
Molecular Cancer Research
42 papers in training set
Top 0.3%
1.7%
16
Cancer Letters
32 papers in training set
Top 0.3%
1.5%
17
Theranostics
33 papers in training set
Top 0.8%
1.3%
18
Cancer Research
116 papers in training set
Top 2%
1.3%
19
Translational Oncology
18 papers in training set
Top 0.2%
1.2%
20
Frontiers in Molecular Biosciences
100 papers in training set
Top 4%
0.9%
21
Cell Chemical Biology
81 papers in training set
Top 3%
0.9%
22
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 7%
0.9%
23
PLOS ONE
4510 papers in training set
Top 66%
0.8%
24
Communications Biology
886 papers in training set
Top 21%
0.8%
25
Cell Communication and Signaling
35 papers in training set
Top 0.9%
0.8%
26
PLOS Genetics
756 papers in training set
Top 14%
0.8%
27
Cell Reports Medicine
140 papers in training set
Top 7%
0.8%
28
PeerJ
261 papers in training set
Top 15%
0.8%
29
International Journal of Molecular Sciences
453 papers in training set
Top 15%
0.8%
30
British Journal of Cancer
42 papers in training set
Top 2%
0.7%