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Impact of Epithelial–Stromal Interactions on Peritumoral Fibroblasts in Ductal Carcinoma in Situ
Open accessAbstract
Background: A better definition of biomarkers and biological processes related to local recurrence and disease progression is highly warranted for ductal breast carcinoma in situ (DCIS). Stromal–epithelial interactions are likely of major importance for the biological, clinical, and pathological distinctions between high- and low-risk DCIS cases. Methods: Stromal platelet derived growth factor receptor (PDGFR) was immunohistochemically assessed in two DCIS patient cohorts (n = 458 and n = 80). Cox proportional hazards models were used to calculate the hazard ratios of recurrence. The molecular mechanisms regulating stromal PDGFR expression were investigated in experimental in vitro co-culture systems of DCIS cells and fibroblasts and analyzed using immunoblot and quantitative real-time PCR. Knock-out of JAG1 in DCIS cells and NOTCH2 in fibroblasts was obtained through CRISPR/Cas9. Experimental data were validated by mammary fat pad injection of DCIS and DCIS-JAG1 knock-out cells (10 mice per group). All statistical tests were two-sided. Results: PDGFRα(low)/PDGFRβ(high) fibroblasts were associated with increased risk for recurrence in DCIS (univariate hazard ratio = 1.59, 95% confidence interval [CI] = 1.02 to 2.46; P = .04 Wald test; multivariable hazard ratio = 1.78, 95% CI = 1.07 to 2.97; P = .03). Tissue culture and mouse model studies indicated that this fibroblast phenotype is induced by DCIS cells in a cell contact-dependent manner. Epithelial Jagged1 and fibroblast Notch2 were identified through loss-of-function studies as key juxtacrine signaling components driving the formation of the poor prognosis-associated fibroblast phenotype. Conclusions: A PDGFRα(low)/PDGFRβ(high) fibroblast subset was identified as a marker for high-risk DCIS. The Jagged-1/Notch2/PDGFR stroma–epithelial pathway was described as a novel signaling mechanism regulating this poor prognosis-associated fibroblast subset. In general terms, the study highlights epithelial–stromal crosstalk in DCIS and contributes to ongoing efforts to define clinically relevant fibroblast subsets and their etiology.
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“Contact between cancer cells and fibroblasts can promote the CAF phenotype in breast cancer through Notch signalling55”
From A framework for advancing our understanding of cancer-associated fibroblasts (2020) · cites this paper as [55]
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Cites
The biology and function of fibroblasts in cancer
Kalluri, R. (2016) · Nature Reviews Cancer · doi:10.1038/nrc.2016.73 · Cited by 4,366
Özdemir, B. C., Pentcheva-Hoang, T., Carstens, J. L., Zheng, X., Wu, C.-C., Simpson, T. R., Laklai, H., Sugimoto, H., Kahlert, C., Novitskiy, S. V., et al. (2014) · Cancer Cell · doi:10.1016/j.ccr.2014.04.005 · Cited by 2,681
Distinct populations of inflammatory fibroblasts and myofibroblasts in pancreatic cancer
Öhlund, D., Handly-Santana, A., Biffi, G., Elyada, E., Almeida, A. S., Ponz-Sarvise, M., Corbo, V., Oni, T. E., Hearn, S. A., Lee, E. J., et al. (2017) · Journal of Experimental Medicine · doi:10.1084/jem.20162024 · Cited by 2,590
Stromal Elements Act to Restrain, Rather Than Support, Pancreatic Ductal Adenocarcinoma
Rhim, A. D., Oberstein, P. E., Thomas, D. H., Mirek, E. T., Palermo, C. F., Sastra, S. A., Dekleva, E. N., Saunders, T., Becerra, C. P., Tattersall, I. W., et al. (2014) · Cancer Cell · doi:10.1016/j.ccr.2014.04.021 · Cited by 2,085
Cox, T. R., & Erler, J. T. (2011) · Disease Models & Mechanisms · doi:10.1242/dmm.004077 · Cited by 1,569
GAGE: generally applicable gene set enrichment for pathway analysis
Luo, W., Friedman, M. S., Shedden, K., Hankenson, K. D., & Woolf, P. J. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-161 · Cited by 1,333
Induction of Cell Migration by Matrix Metalloprotease-2 Cleavage of Laminin-5
Giannelli, G., Falk-Marzillier, J., Schiraldi, O., Stetler-Stevenson, W. G., & Quaranta, V. (1997) · Science · doi:10.1126/science.277.5323.225 · Cited by 1,221
The tumour-induced systemic environment as a critical regulator of cancer progression and metastasis
McAllister, S. S., & Weinberg, R. A. (2014) · Nature Cell Biology · doi:10.1038/ncb3015 · Cited by 975
Rosen, P. P. (1997) · Cited by 820
Exosome Transfer from Stromal to Breast Cancer Cells Regulates Therapy Resistance Pathways
Boelens, M. C., Wu, T. J., Nabet, B. Y., Xu, B., Qiu, Y., Yoon, T., Azzam, D. J., Victor, C. T.-S., Wiemann, B. Z., Ishwaran, H., et al. (2014) · Cell · doi:10.1016/j.cell.2014.09.051 · Cited by 819
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Leiss, L. W., Mega, A., Bontell, T. O., Nistér, M., Smits, A., Corvigno, S., Rahman, M. A., Enger, P. Ø., Miletić, H., & Östman, A. (2019) · Glia · doi:10.1002/glia.23756 · Cited by 6
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Hiratsuka, M., Hasebe, T., Ichinose, Y., Sakakibara, A., Fujimoto, A., Wakui, N., Shibasaki, S., Hirasaki, M., Yasuda, M., Nukui, A., et al. (2022) · Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin · doi:10.1007/s00428-022-03337-0 · Cited by 5
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Shi, H., Wu, M., Liu, J., Tian, C., Ma, L., Zhou, X., Sun, Z., Xu, Z., Zhang, R., Ye, S., et al. (2026) · Advanced Science · doi:10.1002/advs.202514590 · Cited by 1
Liu, Y., He, T., Tang, C., & Li, F. (2026) · BMC Cancer · doi:10.1186/s12885-026-16003-4 · Cited by 1
Chen, X., Hou, H., Xiang, Z., Zhou, Y., Xiao, L., Peng, L., Tang, X., Wang, J. J., Song, M., Jin, X., et al. (2026) · Fundamental Research · doi:10.1016/j.fmre.2026.05.011 · Cited by 1
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O’Fee, K., Burley, A., & Wilkins, A. C. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-14064-8.90005-5
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Ahmad, S., Zahoor, M., Esa, M., & Ullah, R. (2025) · Current Cancer Therapy Reviews · doi:10.2174/0115733947388031250715112019
Qing, H., Jiang, X., Ma, Y., Xing, Z., Wu, Y., Wang, K., Cao, H., Jiao, Z., & Yu, Z. (2025) · Molecular Carcinogenesis · doi:10.1002/mc.70030
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Rask, G., Jansson, M., Svensson, J., Wiberg, R., Wärnberg, F., Billing, O., Wadsten, C., & Sund, M. (2025) · BJC Reports · doi:10.1038/s44276-025-00191-w
Self-citationJurj, A., Ionescu, C., Berindan‐Neagoe, I., & Braicu, C. (2022) · Figshare · doi:10.6084/m9.figshare.21151438
Venning, F. A., Zornhagen, K. W., Wullkopf, L., Sjölund, J., Rodriguez-Cupello, C., Kjellman, P., Morsing, M., Hajkarim, M. C., Won, K. J., Erler, J. T., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14634051
Venning, F. A., Zornhagen, K. W., Wullkopf, L., Sjölund, J., Rodriguez-Cupello, C., Kjellman, P., Morsing, M., Hajkarim, M. C., Won, K. J., Erler, J. T., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14634057
Venning, F. A., Zornhagen, K. W., Wullkopf, L., Sjölund, J., Rodriguez-Cupello, C., Kjellman, P., Morsing, M., Hajkarim, M. C., Won, K. J., Erler, J. T., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14634066
Venning, F. A., Zornhagen, K. W., Wullkopf, L., Sjölund, J., Rodriguez-Cupello, C., Kjellman, P., Morsing, M., Hajkarim, M. C., Won, K. J., Erler, J. T., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14634072
Venning, F. A., Zornhagen, K. W., Wullkopf, L., Sjölund, J., Rodriguez-Cupello, C., Kjellman, P., Morsing, M., Hajkarim, M. C., Won, K. J., Erler, J. T., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14634063
Venning, F. A., Zornhagen, K. W., Wullkopf, L., Sjölund, J., Rodriguez-Cupello, C., Kjellman, P., Morsing, M., Hajkarim, M. C., Won, K. J., Erler, J. T., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14634069
Venning, F. A., Zornhagen, K. W., Wullkopf, L., Sjölund, J., Rodriguez-Cupello, C., Kjellman, P., Morsing, M., Hajkarim, M. C., Won, K. J., Erler, J. T., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14634060
Venning, F. A., Zornhagen, K. W., Wullkopf, L., Sjölund, J., Rodriguez-Cupello, C., Kjellman, P., Morsing, M., Hajkarim, M. C., Won, K. J., Erler, J. T., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14634054
Yan, D., Ju, X., Luo, B., Guan, F., He, H., Yan, H., & Yuan, J. (2022) · Figshare · doi:10.6084/m9.figshare.21382898
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Aoki, Y., Fukumura, Y., Nakahodo, J., Mezawa, Y., Maimaitiaili, Y., Maimaitituerxun, M., & Yao, T. (2026) · Oncology · doi:10.1159/000553573
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Metadata
- Authors
- Strell, C., Paulsson, J., Jin, S.-B., Tobin, N. P., Mezheyeuski, A., Roswall, P., Mutgan, C., Mitsios, N., Johansson, H., Wickberg, S. M., Svedlund, J., Nilsson, M., Hall, P., Mulder, J., Radisky, D. C., Pietras, K., Bergh, J., Lendahl, U., Wärnberg, F., & Östman, A.
- Affiliations
- Stockholm University (SE)
- Karolinska Institutet (SE)
- Lund University (SE)
- Uppsala University (SE)
- Mayo Clinic in Florida (US)
- Corresponding author
- Strell, Carina
- ORCID
- Venue
- JNCI: Journal of the National Cancer Institute
- Publisher
- Oxford University Press (OUP)
- Published
- 2019-02-28
- Volume
- 111
- Issue
- 9
- Pages
- 983-995
- ISSN
- 0027-8874 (ISSN-L)
- 1460-2105
- PMC
- PMC6748730
- OpenAlex
- W2920295895
- Cited by
- 158
- References
- 59
- Citations by year
- 2026: 12 · 2025: 13 · 2024: 25 · 2023: 19 · 2022: 36 · 2021: 30 · 2020: 19 · 2019: 4
- FWCI
- 4.01
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- JNCI Journal of the National Cancer Institute (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- Funders
- Swedish Cancer Society (150895)
- Swedish Research Council (349–2006-160)
- Radiumhemmets forskningsfonder, EU Caffein ITN network (3047/12)
- BRECT network of Karolinska Institutet
- Stockholm County Council
- Comprehensive Cancer Consortium
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Breast Cancer Treatment Studies
- Health Sciences › Medicine › Pathology and Forensic Medicine › Breast Lesions and Carcinomas
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Keywords
- ductal carcinoma in situ, stromal-epithelial interactions, PDGFR, PDGFRA, PDGFRβ, fibroblast phenotype, local recurrence, JAG1, Notch2, juxtacrine signaling, prognostic factors, breast cancer
- MeSH terms
- Cancer-Associated Fibroblasts, Adult, Aged, Aged, 80 and over, Animals, Breast Neoplasms, Carcinoma, Intraductal, Noninfiltrating, Cell Communication, Disease Models, Animal, Epithelial Cells, Female, Humans, Immunohistochemistry, Middle Aged, Prognosis, Biomarkers, Tumor, Stromal Cells, Receptors, Platelet-Derived Growth Factor, Coculture Techniques, Computational Biology, Gene Expression Profiling, Cell Line, Tumor, Mice, Neoplasm Grading
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