The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Oxidative stress in cancer associated fibroblasts drives tumor-stroma co-evolution: A new paradigm for understanding tumor metabolism, the field effect and genomic instability in cancer cells
Open accessAbstract
Loss of stromal fibroblast caveolin-1 (Cav-1) is a powerful single independent predictor of poor prognosis in human breast cancer patients, and is associated with early tumor recurrence, lymph node metastasis and tamoxifen-resistance. We developed a novel co-culture system to understand the mechanism(s) by which a loss of stromal fibroblast Cav-1 induces a "lethal tumor micro-environment." Here, we propose a new paradigm to explain the powerful prognostic value of stromal Cav-1. In this model, cancer cells induce oxidative stress in cancer-associated fibroblasts, which then acts as a "metabolic" and "mutagenic" motor to drive tumor-stroma co-evolution, DNA damage and aneuploidy in cancer cells. More specifically, we show that an acute loss of Cav-1 expression leads to mitochondrial dysfunction, oxidative stress and aerobic glycolysis in cancer associated fibroblasts. Also, we propose that defective mitochondria are removed from cancer-associated fibroblasts by autophagy/mitophagy that is induced by oxidative stress. As a consequence, cancer associated fibroblasts provide nutrients (such as lactate) to stimulate mitochondrial biogenesis and oxidative metabolism in adjacent cancer cells (the "Reverse Warburg Effect"). We provide evidence that oxidative stress in cancer-associated fibroblasts is sufficient to induce genomic instability in adjacent cancer cells, via a bystander effect, potentially increasing their aggressive behavior. Finally, we directly demonstrate that nitric oxide (NO) over-production, secondary to Cav-1 loss, is the root cause for mitochondrial dysfunction in cancer associated fibroblasts. In support of this notion, treatment with anti-oxidants (such as N-acetyl-cysteine, metformin and quercetin) or NO inhibitors (L-NAME) was sufficient to reverse many of the cancer-associated fibroblast phenotypes that we describe. Thus, cancer cells use "oxidative stress" in adjacent fibroblasts (i) as an "engine" to fuel their own survival via the stromal production of nutrients and (ii) to drive their own mutagenic evolution towards a more aggressive phenotype, by promoting genomic instability. We also present evidence that the "field effect" in cancer biology could also be related to the stromal production of ROS and NO species. eNOS-expressing fibroblasts have the ability to downregulate Cav-1 and induce mitochondrial dysfunction in adjacent fibroblasts that do not express eNOS. As such, the effects of stromal oxidative stress can be laterally propagated, amplified and are effectively "contagious"--spread from cell-to-cell like a virus--creating an "oncogenic/mutagenic" field promoting widespread DNA damage.
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Cites
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The M2 splice isoform of pyruvate kinase is important for cancer metabolism and tumour growth
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Mitochondrial reactive oxygen species trigger hypoxia-induced transcription
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Metformin is an AMP kinase-dependent growth inhibitor for breast cancer cells
Zakikhani, M., Dowling, R., Fantus, I. G., Sonenberg, N., & Pollak, M. (2006) · Cancer Research · doi:10.1158/0008-5472.can-06-1500 · Cited by 1,048
Dissecting the Interaction between Nitric Oxide Synthase (NOS) and Caveolin
Garcı́a-Cardeña, G., Martasek, P., Masters, B. S. S., Skidd, P. M., Couet, J., Li, S., Lisanti, M. P., & Sessa, W. C. (1997) · Journal of Biological Chemistry · doi:10.1074/jbc.272.41.25437 · Cited by 821
Self-citationHIF-Dependent Antitumorigenic Effect of Antioxidants In Vivo
Gao, P., Zhang, H., Dinavahi, R., Li, F., Xiang, Y., Raman, V., Bhujwalla, Z. M., Felsher, D. W., Cheng, L., Pevsner, J., et al. (2007) · Cancer Cell · doi:10.1016/j.ccr.2007.08.004 · Cited by 523
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Nitric oxide, an autocrine regulator of wound fibroblast synthetic function
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Cited by
Sies, H., Berndt, C., & Jones, D. P. (2017) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-061516-045037 · Cited by 3,520
Mitochondrial ROS in cancer: initiators, amplifiers or an Achilles' heel?
Sabharwal, S. S., & Schumacker, P. T. (2014) · Nature Reviews Cancer · doi:10.1038/nrc3803 · Cited by 1,622
Cancer metabolism: a therapeutic perspective
Martinez-Outschoorn, U. E., Peiris-Pagés, M., Pestell, R. G., Sotgia, F., & Lisanti, M. P. (2017) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2016.60 · Cited by 1,505
Self-citationDiversity and biology of cancer-associated fibroblasts
Biffi, G., & Tuveson, D. A. (2021) · Physiological Reviews · doi:10.1152/physrev.00048.2019 · Cited by 1,265
Role of Extracellular Matrix in Development and Cancer Progression
Walker, C., Mojares, E., & Del Río Hernández, A. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19103028 · Cited by 1,084
Metadata
- Authors
- Martinez-Outschoorn, U. E., Balliet, R. M., Rivadeneira, D., Chiavarina, B., Pavlides, S., Wang, C., Whitaker-Menezes, D., Daumer, K., Lin, Z., Witkiewicz, A., Flomenberg, N., Howell, A., Pestell, R., Knudsen, E., Sotgia, F., & Lisanti, M. P.
- Venue
- Cell Cycle
- Publisher
- Informa UK Limited
- Published
- 2010-08-15
- Volume
- 9
- Issue
- 16
- Pages
- 3276-3296
- ISSN
- 1538-4101 (ISSN-L)
- 1551-4005
- OpenAlex
- W2159494912
- Cited by
- 460
- References
- 8
- FWCI
- 15.95
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Martinez-Outschoorn, U. E., Balliet, R. M., Rivadeneira, D., Chiavarina, B., Pavlides, S., Wang, C., Whitaker-Menezes, D., Daumer, K., Lin, Z., Witkiewicz, A., Flomenberg, N., Howell, A., Pestell, R., Knudsen, E., Sotgia, F., & Lisanti, M. P. (2010). Oxidative stress in cancer associated fibroblasts drives tumor-stroma co-evolution: A new paradigm for understanding tumor metabolism, the field effect and genomic instability in cancer cells. Cell Cycle. https://doi.org/10.4161/cc.9.16.12553
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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.