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Updated: Dec 20, 2025

Author Spotlight: Transmitochondrial Cybrid Generation Using Cancer Cell Lines
Published on: March 17, 2023
First-in-class candidate therapeutics that target mitochondria and effectively prevent cancer cell metastasis:
Béla Ózsvári1, Federica Sotgia1, Michael P Lisanti1
1Translational Medicine, School of Science, Engineering and Environment (SEE), University of Salford, Greater Manchester, United Kingdom.
Abstract:
Cancer stem cells (CSCs) have been proposed to be responsible for tumor recurrence, distant metastasis and drug-resistance, in the vast majority of cancer patients. Therefore, there is an urgent need to identify new drugs that can target and eradicate CSCs. To identify new molecular targets that are unique to CSCs, we previously compared MCF7 2D-monolayers with 3D-mammospheres, which are enriched in CSCs. We observed that 25 mitochondrial-related proteins were >100-fold over-expressed in 3D-mammospheres. Here, we used these 25 proteins to derive short gene signatures to predict distant metastasis (in N=1,395 patients) and tumor recurrence (in N=3,082 patients), by employing a large collection of transcriptional profiling data from ER(+) breast cancer patients. This analysis resulted in a 4-gene signature for predicting distant metastasis, with a hazard ratio of 1.91-fold (P=2.2e-08). This provides clinical evidence to support a role for CSC mitochondria in metastatic dissemination. Next, we employed a panel of mitochondrial inhibitors, previously shown to target mitochondria and selectively inhibit 3D-mammosphere formation in MCF7 cells and cell migration in MDA-MB-231 cells. Remarkably, these five mitochondrial inhibitors had only minor effects or no effect on MDA-MB-231 tumor formation, but preferentially and selectively inhibited tumor cell metastasis, without causing significant toxicity. Mechanistically, all five mitochondrial inhibitors have been previously shown to induce ATP-depletion in cancer cells. Since 3 of these 5 inhibitors were designed to target the large mitochondrial ribosome, we next interrogated whether genes encoding the large mitochondrial ribosomal proteins (MRPL) also show prognostic value in the prediction of distant metastasis in both ER(+) and ER(-) breast cancer patients. Interestingly, gene signatures composed of 6 to 9 MRPL mRNA-transcripts were indeed sufficient to predict distant metastasis, tumor recurrence and Tamoxifen resistance. These gene signatures could be useful as companion diagnostics to assess which patients may benefit most from anti-mito-ribosome therapy. Overall, our studies provide the necessary proof-of-concept, and in vivo functional evidence, that mitochondrial inhibitors can successfully and selectively target the biological process of cancer cell metastasis. Ultimately, we envision that mitochondrial inhibitors could be employed to develop new treatment protocols, for clinically providing metastasis prophylaxis, to help prevent poor clinical outcomes in cancer patients.
Insights
Cancer stem cells (CSCs) drive metastasis and recurrence. Mitochondrial inhibitors selectively target CSC mitochondria, inhibiting metastasis without toxicity. This suggests a new therapeutic strategy for preventing cancer spread and improving patient outcomes.
Area of Science:
- Oncology
- Cell Biology
- Molecular Medicine
Background:
- Cancer stem cells (CSCs) are implicated in tumor recurrence, metastasis, and drug resistance.
- Targeting CSCs is crucial for developing effective cancer therapies.
- Mitochondrial dysfunction is increasingly recognized in cancer progression.
Purpose of the Study:
- To identify novel molecular targets unique to CSCs.
- To investigate the role of CSC mitochondria in metastasis.
- To evaluate the efficacy of mitochondrial inhibitors in targeting CSCs and preventing metastasis.
Main Methods:
- Comparative analysis of protein expression in 2D monolayers versus 3D mammospheres (CSC-enriched).
- Development of gene signatures from mitochondrial proteins to predict metastasis and recurrence in breast cancer patients.
- Treatment of cancer cells with mitochondrial inhibitors and assessment of tumor formation and metastasis in vivo.
- Analysis of mitochondrial ribosomal protein (MRPL) gene expression for prognostic value.
Main Results:
- A 4-gene signature derived from mitochondrial proteins accurately predicted distant metastasis in ER(+) breast cancer.
- Five mitochondrial inhibitors selectively inhibited metastasis of MDA-MB-231 cells without affecting primary tumor formation or causing significant toxicity.
- Mitochondrial inhibitors induced ATP depletion in cancer cells.
- Gene signatures of 6-9 MRPL transcripts predicted distant metastasis, recurrence, and tamoxifen resistance in both ER(+) and ER(-) breast cancer patients.
Conclusions:
- Mitochondrial inhibitors show promise as a targeted therapy to prevent cancer metastasis.
- Mitochondrial ribosomal proteins represent potential therapeutic targets for anti-cancer drug development.
- Mitochondrial-targeted therapies could offer a strategy for metastasis prophylaxis and improved clinical outcomes.
- Gene signatures of MRPLs may serve as companion diagnostics for identifying patients who would benefit from anti-mitochondrial ribosome therapy.
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