Back

Induction of Ferroptosis by an Amalgam of Extracellular Vesicles and Iron Oxide Nanoparticles Overcomes Cisplatin Resistance in Lung Cancer

Paramanantham, A.; Asfiya, R.; Manjunath, Y.; Xu, L.; McCully, G.; Das, S.; Yang, H.; Kaifi, J. T.; Srivastava, A.

2024-08-19 cancer biology
10.1101/2024.08.19.608664 bioRxiv
Show abstract

Extracellular vesicles (EVs) hold potential as effective carriers for drug delivery, providing a promising approach to resolving challenges in lung cancer treatment. Traditional treatments, such as with the chemotherapy drug cisplatin, encounter resistance in standard cell death pathways like apoptosis, prompting the need to explore alternative approaches. This study investigates the potential of iron oxide nanoparticles (IONP) and EVs to induce ferroptosis--a regulated cell death mechanism--in lung cancer cells. We formulated a novel EV and IONP-based system, namely ExoFeR, and observed that ExoFeR demonstrated efficient ferroptosis induction, evidenced by downregulation of ferroptosis markers (xCT/SLC7A11 and GPX4), increased intracellular and mitochondrial ferrous iron levels, and morphological changes in mitochondria. To enhance efficacy, tumor-targeting transferrin (TF)-conjugated ExoFeR (ExoFeRTF) was developed. ExoFeRTF outperformed ExoFeR, exhibiting higher uptake and cell death in lung cancer cells. Mechanistically, nuclear factor erythroid 2-related factor 2 (Nrf2)--a key regulator of genes involved in glutathione biosynthesis, antioxidant responses, lipid metabolism, and iron metabolism--was found downregulated in the ferroptotic cells. Inhibition of Nrf2 intracellular translocation in ExoFeRTF-treated cells was also observed, emphasizing the role of Nrf2 in modulating ferroptosis-dependent cell death. Furthermore, ExoFeR and ExoFeRTF demonstrated the ability to sensitize chemo-resistant cancer cells, including cisplatin-resistant lung cancer patient-derived tumoroid organoids. In summary, ExoFeRTF presents a promising and multifaceted therapeutic approach for combating lung cancer by intrinsically inducing ferroptosis and sensitizing chemo-resistant cells.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Journal of Extracellular Vesicles
55 papers in training set
Top 0.1%
13.4%
2
Journal of Nanobiotechnology
14 papers in training set
Top 0.1%
13.1%
3
Journal of Controlled Release
44 papers in training set
Top 0.1%
10.1%
4
Journal of Extracellular Biology
22 papers in training set
Top 0.1%
8.2%
5
International Journal of Molecular Sciences
494 papers in training set
Top 2%
4.5%
6
Scientific Reports
3612 papers in training set
Top 31%
3.4%
50% of probability mass above
7
ACS Omega
105 papers in training set
Top 0.5%
3.3%
8
Biomaterials
84 papers in training set
Top 0.7%
2.5%
9
PLOS ONE
5266 papers in training set
Top 47%
1.8%
10
Nanoscale
42 papers in training set
Top 0.3%
1.8%
11
ACS Applied Materials & Interfaces
39 papers in training set
Top 0.5%
1.7%
12
ACS Nano
113 papers in training set
Top 1%
1.2%
13
Small
78 papers in training set
Top 1%
1.2%
14
FEBS Open Bio
31 papers in training set
Top 0.4%
1.2%
15
Frontiers in Immunology
638 papers in training set
Top 8%
1.1%
16
Biochemistry and Biophysics Reports
30 papers in training set
Top 0.8%
1.1%
17
Biomaterials Science
24 papers in training set
Top 0.6%
1.0%
18
Cells
249 papers in training set
Top 6%
0.9%
19
Science Advances
1243 papers in training set
Top 29%
0.9%
20
iScience
1154 papers in training set
Top 33%
0.9%
21
eLife
5828 papers in training set
Top 63%
0.9%
22
Biomedicines
67 papers in training set
Top 2%
0.9%
23
Advanced Biology
29 papers in training set
Top 0.7%
0.9%
24
Analytical Chemistry
218 papers in training set
Top 2%
0.9%
25
Advanced Science
286 papers in training set
Top 10%
0.6%
26
Cancers
213 papers in training set
Top 5%
0.6%
27
Pharmaceutics
24 papers in training set
Top 0.8%
0.6%
28
Pharmaceuticals
34 papers in training set
Top 1%
0.6%
29
Materials Today Bio
20 papers in training set
Top 0.8%
0.6%
30
Metallomics
13 papers in training set
Top 0.2%
0.6%