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Collagen Remodeling in the Hypoxic Tumor-Mesothelial Niche Promotes Ovarian Cancer Metastasis
Open accessPublished version of a preprint
Abstract
Peritoneal metastases are the leading cause of morbidity and mortality in high-grade serous ovarian cancer (HGSOC). Accumulating evidence suggests that mesothelial cells are an important component of the metastatic microenvironment in HGSOC. However, the mechanisms by which mesothelial cells promote metastasis are unclear. Here, we report that the HGSOC tumor-mesothelial niche was hypoxic, and hypoxic signaling enhanced collagen I deposition by mesothelial cells. Specifically, hypoxic signaling increased expression of lysyl oxidase (LOX) in mesothelial and ovarian cancer cells to promote collagen crosslinking and tumor cell invasion. The mesothelial niche was enriched with fibrillar collagen in human and murine omental metastases. Pharmacologic inhibition of LOX reduced tumor burden and collagen remodeling in murine omental metastases. These findings highlight an important role for hypoxia and mesothelial cells in the modification of the extracellular matrix and tumor invasion in HGSOC. Significance: This study identifies HIF/LOX signaling as a potential therapeutic target to inhibit collagen remodeling and tumor progression in HGSOC.
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“Moreover, collagen interaction with other ECM molecules including fibronectin, laminin, hyaluronic acid, and MMPs influences cancer cell activity [127].”
From Tumor microenvironment complexity and therapeutic implications at a glance (2020) · cites this paper as [127]
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2 retracted
Lysyl oxidase is essential for hypoxia-induced metastasis
Erler, J. T., Bennewith, K. L., Nicolau, M., Dornhöfer, N., Kong, C., Le, Q.-T., Chi, J.-T. A., Jeffrey, S. S., & Giaccia, A. J. (2006) · Nature · doi:10.1038/nature04695 · Cited by 1,309
RetractedGilkes, D. M., Bajpai, S. K., Chaturvedi, P., Wirtz, D., & Semenza, G. L. (2013) · Journal of Biological Chemistry · doi:10.1074/jbc.m112.442939 · Cited by 473
RetractedHypoxia-inducible factors in physiology and medicine
Semenza, G. L. (2012) · Cell · doi:10.1016/j.cell.2012.01.021 · Cited by 3,645
Junqueira, L. C. U., Bignolas, G., & Brentani, H. (1979) · The Histochemical Journal · doi:10.1007/bf01002772 · Cited by 2,570
The extracellular matrix modulates the hallmarks of cancer
Pickup, M. W., Mouw, J. K., & Weaver, V. M. (2014) · EMBO Reports · doi:10.15252/embr.201439246 · Cited by 2,098
Klinge, U., Park, J.-K., & Klosterhalfen, B. (2013) · Pathobiology · doi:10.1159/000348446 · Cited by 1,791
Hypoxia and the extracellular matrix: drivers of tumour metastasis
Gilkes, D. M., Semenza, G. L., & Wirtz, D. (2014) · Nature Reviews Cancer · doi:10.1038/nrc3726 · Cited by 1,520
Rethinking ovarian cancer II: reducing mortality from high-grade serous ovarian cancer
Bowtell, D. D. L., Böhm, S., Ahmed, A. A., Aspuria, P.-J. P., Bast, R. C., Beral, V., Berek, J. S., Birrer, M. J., Blagden, S. P., Bookman, M. A., et al. (2015) · Nature reviews. Cancer · doi:10.1038/nrc4019 · Cited by 1,395
Tumour hypoxia promotes tolerance and angiogenesis via CCL28 and Treg cells
Facciabene, A., Peng, X., Hagemann, I. S., Balint, K., Barchetti, A., Wang, L.-P., Gimotty, P. A., Gilks, C. B., Lal, P., Zhang, L., et al. (2011) · Nature · doi:10.1038/nature10169 · Cited by 1,376
Rankin, E. B., & Giaccia, A. J. (2016) · Science · doi:10.1126/science.aaf4405 · Cited by 1,340 · cited 5×
“Further knowledge regarding the role of HIF signaling in mediating tumor–stromal interactions within specific metastatic TME is needed to understand how to best target the hypoxic TME for cancer therapy.”
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Items 101–131 of 131
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Wang, B., Shan, C., & Guo, B. (2021) · Research Square · doi:10.21203/rs.3.rs-761710/v1
Nong, F., Liang, Y., Xing, S., Li, H., Lin, X., Qin, J., Hu, F., & Wen, B. (2021) · Evidence-based Complementary and Alternative Medicine · doi:10.1155/2021/5547578
Função da progesterona e da protease ADAMTS-1 na migração de células derivadas de câncer de ovário.
Lima, M. A. (2020) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.42.2020.tde-13082020-092104
Yeeravalli, R., & Das, A. (2021) · Handbook of Oxidative Stress in Cancer: Therapeutic Aspects · doi:10.1007/978-981-16-1247-3_228-1
Tanner, K. (2021) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.739130678.793586835
Deen, S. S., McLean, M. A., Gill, A. B., Crawford, R., Latimer, J. A., Baldwin, P., Earl, H. M., Parkinson, C., Smith, S. E., Hodgkin, C., et al. (2022) · BJR|Open · doi:10.1259/bjro.20210078
Yeeravalli, R., & Das, A. (2022) · Handbook of Oxidative Stress in Cancer: Therapeutic Aspects · doi:10.1007/978-981-16-5422-0_228
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Lama-Sherpa, T. D., Das, S., Hinshaw, D. C., Kammerud, S. C., Song, P. N., Alsheikh, H. A., Sorace, A. G., Samant, R. S., & Shevde, L. A. (2023) · doi:10.1158/1541-7786.c.6545070.v1
Wojtowicz, K., Tyczewska, M., & Kałużna, S. (2023) · Postepy Biologii Komorki · doi:10.59674/pbk6
The Physical Factors Involved in Cancer Progression
Lee, C.-T., Hu, C.-S., & Wong, T. (2024) · Springer series in biophysics · doi:10.1007/978-3-031-45379-3_5
Wang, X., Che, X., Yu, Y., Cheng, Y., Bai, M., Yang, Z., Guo, Q., Xie, X., Li, D., Guo, M., et al. (2020) · Figshare · doi:10.6084/m9.figshare.13120806
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Huang, D., Li, Y.-Z., Xu, H.-L., Liu, F., Li, X.-Y., Xiao, Q., Chen, X., Liu, K., Wang, D., Men, Y.-X., et al. (2024) · Journal of Proteome Research · doi:10.1021/acs.jproteome.4c00675
Plesselova, S., Axemaker, H., Calar, K., Isaiah, O., Wollman, J. W., Bhattacharya, S., Gnimpiéba, E. Z., Fink, D. M., Wang, C., Bell, M., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.06.23.661098
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Greten, F. R., & Pesic, M. H. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-14064-8.00048-5
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Qi, J., Li, J., Wang, R., & Deng, Y. (2025) · Pathology - Research and Practice · doi:10.1016/j.prp.2025.156225
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Wang, X., 车晓芳, Yu, Y., Cheng, Y., Bai, M., Yang, Z., Guo, Q., Xie, X., Li, D., Guo, M., et al. (2020) · Figshare · doi:10.6084/m9.figshare.13120809
Wang, X., 车晓芳, Yu, Y., Cheng, Y., Bai, M., Yang, Z., Guo, Q., Xie, X., Li, D., Guo, M., et al. (2020) · Figshare · doi:10.6084/m9.figshare.13120812
Wang, X., 车晓芳, Yu, Y., Cheng, Y., Bai, M., Yang, Z., Guo, Q., Xie, X., Li, D., Guo, M., et al. (2020) · Figshare · doi:10.6084/m9.figshare.13120821
Wang, X., 车晓芳, Yu, Y., Cheng, Y., Bai, M., Yang, Z., Guo, Q., Xie, X., Li, D., Guo, M., et al. (2020) · Figshare · doi:10.6084/m9.figshare.13120815
Wang, S., You, W., Zhu, Y., Liu, F., Shen, Y., & Han, F. (2026) · Current Cancer Drug Targets · doi:10.2174/0115680096433626251104054626
Lin, Z., Gao, Y., Zhang, Q., Yang, S., Chen, Y., Ding, H., Peng, W., Zhang, X., Nurzat, Y., Hu, J., et al. (2026) · Cancer Letters · doi:10.1016/j.canlet.2026.218392
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Rodrigues, J. A., Nunes, S., Ramos, C., Gonçalves, L. G., & Serpa, J. (2026) · Bioengineering · doi:10.3390/bioengineering13030300
Li, Q., Cheng, K., Sun, L., & Yan, W. (2026) · eLife · doi:10.7554/elife.110486.1
Li, Q., Cheng, K., Sun, L., & Yan, W. (2026) · eLife · doi:10.7554/elife.110486
Breaking barriers in gynecologic malignancies with adoptive cell transfers and nanomedicine
Bailey, C. A., Cui, Y. X., Marjon, N. A., Bitler, B. G., & Shields, C. W. (2026) · Cell Biomaterials · doi:10.1016/j.celbio.2026.100550
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Shefer, A., Dzhugashvili, E., Чернышова, А. Л., & TAMKOVICH, S. N. (2026) · Biomolecules · doi:10.3390/biom16081150
de la Puente, P. (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.20514904
Metadata
- Authors
- Natarajan, S., Foreman, K. M., Soriano, M. I., Rossen, N. S., Shehade, H., Fregoso, D. R., Eggold, J. T., Krishnan, V., Dorigo, O., Krieg, A. J., Heilshorn, S. C., Sinha, S., Fuh, K. C., & Rankin, E. B.
- Affiliations
- Stanford University (US)
- Oregon Health & Science University (US)
- SRI International (US)
- Washington University in St. Louis (US)
- Corresponding author
- Rankin, Erinn B.
- ORCID
- Venue
- Cancer Research
- Published
- 2019-05-01
- Volume
- 79
- Issue
- 9
- Pages
- 2271-2284
- ISSN
- 0008-5472 (ISSN-L)
- 1538-7445
- PMC
- PMC6822898
- OpenAlex
- W2921266140
- Cited by
- 129
- References
- 54
- Citations by year
- 2026: 11 · 2025: 18 · 2024: 15 · 2023: 18 · 2022: 20 · 2021: 20 · 2020: 24 · 2019: 3
- FWCI
- 16.26
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Cancer Research (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Defense for Health Affairs (W81XWH-15-1-0097)
- Topics
- Health Sciences › Medicine › Oncology › Ovarian cancer diagnosis and treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Keywords
- high-grade serous ovarian cancer, peritoneal carcinomatosis, mesothelial cells, hypoxia, collagen remodeling, collagen I deposition, lysyl oxidase, collagen cross-linking, extracellular matrix, tumor invasion, HIF signaling, omental metastases, therapeutic target
- MeSH terms
- Endothelial PAS Domain-Containing Protein 1, Adult, Aged, Aged, 80 and over, Animals, Hypoxia, Collagen, Epithelium, Extracellular Matrix, Female, Humans, Protein-Lysine 6-Oxidase, Middle Aged, Ovarian Neoplasms, Peritoneal Neoplasms, Prognosis, Tumor Cells, Cultured, Signal Transduction, Gene Expression Regulation, Neoplastic, Mice, SCID, Mice, Inbred NOD, Apoptosis, Cystadenocarcinoma, Serous, Xenograft Model Antitumor Assays, Cell Proliferation, Mice, Basic Helix-Loop-Helix Proteins, Hypoxia-Inducible Factor 1, alpha Subunit, Tumor Microenvironment
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