The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
CAF secreted miR-522 suppresses ferroptosis and promotes acquired chemo-resistance in gastric cancer
Open accessAbstract
Background: Ferroptosis is a novel mode of non-apoptotic cell death induced by build-up of toxic lipid peroxides (lipid-ROS) in an iron dependent manner. Cancer-associated fibroblasts (CAFs) support tumor progression and drug resistance by secreting various bioactive substances, including exosomes. Yet, the role of CAFs in regulating lipid metabolism as well as ferroptosis of cancer cells is still unexplored and remains enigmatic. Methods: Ferroptosis-related genes in gastric cancer (GC) were screened by using mass spectrum; exosomes were isolated by ultra-centrifugation and CAF secreted miRNAs were determined by RT-qPCR. Erastin was used to induce ferroptosis, and ferroptosis levels were evaluated by measuring lipid-ROS, cell viability and mitochondrial membrane potential. Results: Here, we provide clinical evidence to show that arachidonate lipoxygenase 15 (ALOX15) is closely related with lipid-ROS production in gastric cancer, and that exosome-miR-522 serves as a potential inhibitor of ALOX15. By using primary stromal cells and cancer cells, we prove that exosome-miR-522 is mainly derived from CAFs in tumor microenvironment. Moreover, heterogeneous nuclear ribonucleoprotein A1 (hnRNPA1) was found to mediate miR-522 packing into exosomes, and ubiquitin-specific protease 7 (USP7) stabilizes hnRNPA1 through de-ubiquitination. Importantly, cisplatin and paclitaxel promote miR-522 secretion from CAFs by activating USP7/hnRNPA1 axis, leading to ALOX15 suppression and decreased lipid-ROS accumulation in cancer cells, and ultimately result in decreased chemo-sensitivity. Conclusions: The present study demonstrates that CAFs secrete exosomal miR-522 to inhibit ferroptosis in cancer cells by targeting ALOX15 and blocking lipid-ROS accumulation. The intercellular pathway, comprising USP7, hnRNPA1, exo-miR-522 and ALOX15, reveals new mechanism of acquired chemo-resistance in GC. Graphical abstract:
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1 retracted
Zhang, H., Deng, T., Ge, S., Liu, Y., Bai, M., Zhu, K., Fan, Q., Li, J., Ning, T., Tian, F., et al. (2019) · Oncogene · doi:10.1038/s41388-018-0619-z · Cited by 303
Self-citationRetractedHallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
Cox, J., & Mann, M. (2008) · Nature Biotechnology · doi:10.1038/nbt.1511 · Cited by 14,855
Valadi, H., Ekström, K., Bossios, A., Sjöstrand, M., Lee, J. J., & Lötvall, J. O. (2007) · Nature Cell Biology · doi:10.1038/ncb1596 · Cited by 12,834
Regulation of Ferroptotic Cancer Cell Death by GPX4
Yang, W. S., SriRamaratnam, R., Welsch, M. E., Shimada, K., Skouta, R., Viswanathan, V. S., Cheah, J. H., Clemons, P. A., Shamji, A. F., Clish, C. B., et al. (2014) · Cell · doi:10.1016/j.cell.2013.12.010 · Cited by 7,713
Ferroptosis: A Regulated Cell Death Nexus Linking Metabolism, Redox Biology, and Disease
Stockwell, B. R., Friedmann Angeli, J. P., Bayir, H., Bush, A. I., Conrad, M., Dixon, S. J., Fulda, S., Gascón, S., Hatzios, S. K., Kagan, V. E., et al. (2017) · Cell · doi:10.1016/j.cell.2017.09.021 · Cited by 7,695
The emerging hallmarks of cancer metabolism
Pavlova, N. N., & Thompson, C. B. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2015.12.006 · Cited by 5,926
Exosomes: composition, biogenesis and function
Théry, C., Zitvogel, L., & Amigorena, S. (2002) · Nature Reviews Immunology · doi:10.1038/nri855 · Cited by 5,346
Real-time quantification of microRNAs by stem-loop RT-PCR
Chen, C. (2005) · Nucleic Acids Research · doi:10.1093/nar/gni178 · Cited by 4,952
Inactivation of the ferroptosis regulator Gpx4 triggers acute renal failure in mice
Friedmann Angeli, J. P., Schneider, M., Proneth, B., Tyurina, Y. Y., Tyurin, V. A., Hammond, V. J., Herbach, N., Aichler, M., Walch, A., Eggenhofer, E., et al. (2014) · Nature Cell Biology · doi:10.1038/ncb3064 · Cited by 3,732
Cited by
Signaling pathways in cancer-associated fibroblasts and targeted therapy for cancer
Wu, F., Yang, J., Liu, J., Wang, Y., Mu, J., Zeng, Q., Deng, S., & Zhou, H. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-021-00641-0 · Cited by 773
Iron Homeostasis and Ferroptosis in Human Diseases: Mechanisms and Therapeutic Prospects
Ru, Q., Li, Y., Chen, L., Wu, Y., Min, J., & Wang, F. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01969-z · Cited by 724
Lei, G., Zhuang, L., & Gan, B. (2024) · Cancer Cell · doi:10.1016/j.ccell.2024.03.011 · Cited by 586
Fibroblasts in cancer: Unity in heterogeneity
Chhabra, Y., & Weeraratna, A. T. (2023) · Cell · doi:10.1016/j.cell.2023.03.016 · Cited by 474
Regulation of cargo selection in exosome biogenesis and its biomedical applications in cancer
Lee, Y. J., Shin, K. J., & Chae, Y. C. (2024) · Experimental & Molecular Medicine · doi:10.1038/s12276-024-01209-y · Cited by 427
Metadata
- Authors
- Zhang, H., Deng, T., Liu, R., Ning, T., Yang, H., Liu, D., Zhang, Q., Lin, D., Ge, S., Bai, M., Wang, X., Zhang, L., Li, H., Yang, Y., Ji, Z., Wang, H., Ying, G., & Ba, Y.
- Venue
- Molecular Cancer
- Published
- 2020-02-27
- Volume
- 19
- Issue
- 1
- Pages
- 43-43
- ISSN
- 1476-4598 (ISSN-L)
- OpenAlex
- W3009534706
- Cited by
- 1,016
- References
- 48
- FWCI
- 67.73
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: CAF secreted miR-522 suppresses ferroptosis and promotes acquired chemo-resistance in gastric cancer. https://app.cochat.ai/papers/10.1186/s12943-020-01168-8
- The paper
- Zhang, H., Deng, T., Liu, R., Ning, T., Yang, H., Liu, D., Zhang, Q., Lin, D., Ge, S., Bai, M., Wang, X., Zhang, L., Li, H., Yang, Y., Ji, Z., Wang, H., Ying, G., & Ba, Y. (2020). CAF secreted miR-522 suppresses ferroptosis and promotes acquired chemo-resistance in gastric cancer. Molecular Cancer. https://doi.org/10.1186/s12943-020-01168-8
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.