The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Aggressive Mammary Cancers Lacking Lymphocytic Infiltration Arise in Irradiated Mice and Can Be Prevented by Dietary Intervention
Open accessPublished version of a preprint
Abstract
Because the incidence of breast cancer increases decades after ionizing radiation exposure, aging has been implicated in the evolution of the tumor microenvironment and tumor progression. Here, we investigated radiation-induced carcinogenesis using a model in which the mammary glands of 10-month-old BALB/c mice were transplanted with Trp53-null mammary tissue 3 days after exposure to low doses of sparsely ionizing γ-radiation or densely ionizing particle radiation. Mammary transplants in aged, irradiated hosts gave rise to significantly more tumors that grew more rapidly than those in sham-irradiated mice, with the most pronounced effects seen in mice irradiated with densely ionizing particle radiation. Tumor transcriptomes identified a characteristic immune signature of these aggressive cancers. Consistent with this, fast-growing tumors exhibited an immunosuppressive tumor microenvironment with few infiltrating lymphocytes, abundant immunosuppressive myeloid cells, and high COX-2 and TGFβ. Only irradiated hosts gave rise to tumors lacking cytotoxic CD8+ lymphocytes (defined here as immune desert), which also occurred in younger irradiated hosts. These data suggest that host irradiation may promote immunosuppression. To test this, young chimera mice were fed chow containing a honeybee-derived compound with anti-inflammatory and immunomodulatory properties, caffeic acid phenethyl ester (CAPE). CAPE prevented the detrimental effects of host irradiation on tumor growth rate, immune signature, and immunosuppression. These data indicated that low-dose radiation, particularly densely ionizing exposure of aged mice, promoted more aggressive cancers by suppressing antitumor immunity. Dietary intervention with a nontoxic immunomodulatory agent could prevent systemic effects of radiation that fuel carcinogenesis, supporting the potential of this strategy for cancer prevention.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
NTEs have been shown to impact initiation, promotion and progression stages of tumorigenesis at low doses of high LET radiation.
“NTE have been shown to impact initiation, promotion and progression stages of tumorigenesis at low doses of high LET radiation (Illa-Bochaca et al., 2014;Omene et al., 2020;Maxwell et al., 2008;Kadhim et al., 2013;Lorimore et al., 2003;Barcellos-Hoff and Mao, 2016;Hada et al., 2014;Nagasawa and Little, 1992;Belyakov et al., 2005;Chang et al., 2016).”
From A proposed change to astronaut exposures limits is a giant leap backwards for radiation protection (2021) · cites this paper as Omene et al., 2020
The Discussion (page not provided) defines non-targeted effects as changes to cell signaling and the microenvironment, and distinguishes them from radiation-induced initiation. The Results report increased tumor frequency and faster growth after host irradiation, including densely ionizing radiation; the Methods describe doses of 30–80 cGy for that radiation. Thus the paper supports effects on promotion and progression, but not the claim that non-targeted effects impact initiation. (LLM, conf=0.88)
Experimental — accuracy not yet measuredIn mammary tumors, differences in tumor types comparing heavy ions to low LET radiation were observed, with more aggressive tumors observed.
“Mammary tumors (Illa-Bochaca et al., 2014;Omene et al., 2020;Imaoka et al., 2007) Differences in mammary tumor types comparing heavy ions to low LET radiation with more aggressive tumors observed.”
From A proposed change to astronaut exposures limits is a giant leap backwards for radiation protection (2021) · cites this paper as Omene et al., 2020
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
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
Denkert, C., von Minckwitz, G., Darb-Esfahani, S., Lederer, B., Heppner, B. I., Weber, K. E., Budczies, J., Huober, J., Klauschen, F., Furlanetto, J., et al. (2018) · The Lancet Oncology · doi:10.1016/s1470-2045(17)30904-x · Cited by 2,157
Flagged first, then by citations
Research works printed but not linked: 59
- Barcellos-Hoff, 2013, The evolution of the cancer niche during multistage carcinogenesis, Nat Rev Cancer, 13, 511, 10.1038/nrc3536 · DOI
- Ronckers, 2005, Radiation and breast cancer: a review of current evidence, Breast Cancer Res, 7, 21, 10.1186/bcr970 · DOI
- Medzhitov, 2010, Inflammation 2010: new adventures of an old flame, Cell, 140, 771, 10.1016/j.cell.2010.03.006 · DOI
- Grivennikov, 2010, Immunity, inflammation, and cancer, Cell, 140, 883, 10.1016/j.cell.2010.01.025 · DOI · Paper page
- Mittal, 2014, New insights into cancer immunoediting and its three component phases-elimination, equilibrium and escape, Curr Opin Immunol, 27, 16, 10.1016/j.coi.2014.01.004 · DOI · Paper page
- Schreiber, 2011, Cancer immunoediting: integrating immunity's roles in cancer suppression and promotion, Science, 331, 1565, 10.1126/science.1203486 · DOI · Paper page
- Berrington de Gonzalez, 2011, Proportion of second cancers attributable to radiotherapy treatment in adults: a cohort study in the US SEER cancer registries, Lancet Oncol, 12, 353, 10.1016/S1470-2045(11)70061-4 · DOI
- Bhatia, 1996, Breast cancer and other second neoplasms after childhood Hodgkin's disease, N Engl J Med, 334, 745, 10.1056/NEJM199603213341201 · DOI
- Moskowitz, 2014, Breast cancer after chest radiation therapy for childhood cancer, J Clin Oncol, 32, 2217, 10.1200/JCO.2013.54.4601 · DOI
- Castiglioni, 2007, Radiation effects on development of HER2-positive breast carcinomas, Clin Cancer Res, 13, 46, 10.1158/1078-0432.CCR-06-1490 · DOI
- Horst, 2014, Histologic subtypes of breast cancer following radiotherapy for Hodgkin lymphoma, Ann Oncol, 25, 848, 10.1093/annonc/mdu017 · DOI
- Sarkar, 2006, Molecular mechanisms of aging-associated inflammation, Cancer Lett, 236, 13, 10.1016/j.canlet.2005.04.009 · DOI
- Hayashi, 2003, Radiation dose-dependent increases in inflammatory response markers in A-bomb survivors, Int J Radiat Biol, 79, 129, 10.1080/0955300021000038662 · DOI · Paper page
- Harman, 1956, Aging: a theory based on free radical and radiation chemistry, J Gerontol, 11, 298, 10.1093/geronj/11.3.298 · DOI · Paper page
- Illa-Bochaca, 2014, Densely ionizing radiation acts via the microenvironment to promote aggressive Trp53 null mammary carcinomas, Cancer Res, 74, 7137, 10.1158/0008-5472.CAN-14-1212 · DOI · Paper page
- Nguyen, 2011, Radiation acts on the microenvironment to affect breast carcinogenesis by distinct mechanisms that decrease cancer latency and affect tumor type, Cancer Cell, 19, 640, 10.1016/j.ccr.2011.03.011 · DOI
- Armutcu, 2015, Therapeutic potential of caffeic acid phenethyl ester and its anti-inflammatory and immunomodulatory effects (review), Exp Ther Med, 9, 1582, 10.3892/etm.2015.2346 · DOI
- Harvey, 1999, Estrogen receptor status by immunohistochemistry is superior to the ligand-binding assay for predicting response to adjuvant endocrine therapy in breast cancer, J Clin Oncol, 17, 1474, 10.1200/JCO.1999.17.5.1474 · DOI
- Carvalho, 2010, A framework for oligonucleotide microarray preprocessing, Bioinformatics, 26, 2363, 10.1093/bioinformatics/btq431 · DOI
- Gautier, 2004, affy–analysis of Affymetrix GeneChip data at the probe level, Bioinformatics, 20, 307, 10.1093/bioinformatics/btg405 · DOI
- Zhao, 2008, BRB-ArrayTools Data Archive for human cancer gene expression: a unique and efficient data sharing resource, Cancer Inform, 6, 9, 10.4137/CIN.S448 · DOI
- Parker, 2009, Supervised risk predictor of breast cancer based on intrinsic subtypes, J Clin Oncol, 27, 1160, 10.1200/JCO.2008.18.1370 · DOI
- Kim, 2013, TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions, Genome Biol, 14, R36, 10.1186/gb-2013-14-4-r36 · DOI · Paper page
- Love, 2014, Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2, Genome Biol, 15, 550, 10.1186/s13059-014-0550-8 · DOI · Paper page
- Zhang, 2005, WebGestalt: an integrated system for exploring gene sets in various biological contexts, Nucleic Acids Res, 33, W741, 10.1093/nar/gki475 · DOI
- Wang, 2013, WEB-based GEne SeT AnaLysis Toolkit (WebGestalt): update 2013, Nucleic Acids Res, 41, W77, 10.1093/nar/gkt439 · DOI
- Iglesia, 2016, Genomic analysis of immune cell infiltrates across 11 tumor types, J Natl Cancer Inst, 108, 10.1093/jnci/djw144 · DOI
- Bindea, 2013, Spatiotemporal dynamics of intratumoral immune cells reveal the immune landscape in human cancer, Immunity, 39, 782, 10.1016/j.immuni.2013.10.003 · DOI
- Shipitsin, 2007, Molecular definition of breast tumor heterogeneity, Cancer Cell, 11, 259, 10.1016/j.ccr.2007.01.013 · DOI
- Yoshihara, 2013, Inferring tumour purity and stromal and immune cell admixture from expression data, Nat Commun, 4, 2612, 10.1038/ncomms3612 · DOI · Paper page
- Fan, 2011, Building prognostic models for breast cancer patients using clinical variables and hundreds of gene expression signatures, BMC Med Genet, 4, 3
- Chen, 2012, TNBCtype: a subtyping tool for triple-negative breast cancer, Cancer Inform, 11, 147, 10.4137/CIN.S9983 · DOI
- Jerry, 2000, A mammary-specific model demonstrates the role of the p53 tumor suppressor gene in tumor development, Oncogene, 19, 1052, 10.1038/sj.onc.1203270 · DOI
- Zhang, 2015, Identification of genetic loci that control mammary tumor susceptibility through the host microenvironment, Sci Rep, 5, 8919, 10.1038/srep08919 · DOI
- Tang, 2013, Irradiation of juvenile, but not adult, mammary gland increases stem cell self-renewal and estrogen receptor negative tumors, Stem Cells, 32, 649, 10.1002/stem.1533 · DOI
- Herschkowitz, 2007, Identification of conserved gene expression features between murine mammary carcinoma models and human breast tumors, Genome Biol, 8, R76, 10.1186/gb-2007-8-5-r76 · DOI
- Nguyen, 2013, Murine microenvironment metaprofiles associate with human cancer etiology and intrinsic subtypes, Clin Cancer Res, 19, 1353, 10.1158/1078-0432.CCR-12-3554 · DOI
- Onder, 2008, Loss of E-cadherin promotes metastasis via multiple downstream transcriptional pathways, Cancer Res, 68, 3645, 10.1158/0008-5472.CAN-07-2938 · DOI
- Andarawewa, 2007, Ionizing radiation predisposes nonmalignant human mammary epithelial cells to undergo transforming growth factor b induced epithelial to mesenchymal transition, Cancer Res, 67, 8662, 10.1158/0008-5472.CAN-07-1294 · DOI
- Lee, 2008, Epigenetic-mediated dysfunction of the bone morphogenetic protein pathway inhibits differentiation of glioblastoma-initiating cells, Cancer Cell, 13, 69, 10.1016/j.ccr.2007.12.005 · DOI
- Yan, 2018, A RIPK3-PGE2 circuit mediates myeloid-derived suppressor cell-potentiated colorectal carcinogenesis, Cancer Res, 78, 5586, 10.1158/0008-5472.CAN-17-3962 · DOI
- Hegde, 2016, The where, the when, and the how of immune monitoring for cancer immunotherapies in the era of checkpoint inhibition, Clin Cancer Res, 22, 1865, 10.1158/1078-0432.CCR-15-1507 · DOI · Paper page
- Bercovici, 2012, Revisiting the role of T cells in tumor regression, Oncoimmunology, 1, 346, 10.4161/onci.18800 · DOI
- Terabe, 2003, Transforming growth factor-b production and myeloid cells are an effector mechanism through which CD1d-restricted T cells block cytotoxic T lymphocyte-mediated tumor immunosurveillance: abrogation prevents tumor recurrence, J Exp Med, 198, 1741, 10.1084/jem.20022227 · DOI
- Liu, 2010, Population alterations of L-arginase- and inducible nitric oxide synthase-expressed CD11b+/CD14−/CD15+/CD33+ myeloid-derived suppressor cells and CD8+ T lymphocytes in patients with advanced-stage non-small cell lung cancer, J Cancer Res Clin Oncol, 136, 35, 10.1007/s00432-009-0634-0 · DOI
- Amarnath, 2011, The PDL1-PD1 axis converts human TH1 cells into regulatory T cells, Sci Transl Med, 3, 111ra20, 10.1126/scitranslmed.3003130 · DOI
- Prima, 2017, COX2/mPGES1/PGE2 pathway regulates PD-L1 expression in tumor-associated macrophages and myeloid-derived suppressor cells, Proc Natl Acad Sci U S A, 114, 1117, 10.1073/pnas.1612920114 · DOI · Paper page
- Gonzalez-Junca, 2019, Autocrine TGFbeta is a survival factor for monocytes and drives immunosuppressive lineage commitment, Cancer Immunol Res, 7, 306, 10.1158/2326-6066.CIR-18-0310 · DOI
- Hearps, 2012, Aging is associated with chronic innate immune activation and dysregulation of monocyte phenotype and function, Aging Cell, 11, 867, 10.1111/j.1474-9726.2012.00851.x · DOI · Paper page
- Omene, 2011, Caffeic acid phenethyl ester (CAPE) derived from propolis, a honeybee product, inhibits growth of breast cancer stem cells, Invest New Drugs, 30, 1279, 10.1007/s10637-011-9667-8 · DOI
- Wu, 2011, Caffeic acid phenethyl ester (CAPE), derived from a honeybee product propolis, exhibits a diversity of anti-tumor effects in pre-clinical models of human breast cancer, Cancer Lett, 308, 43, 10.1016/j.canlet.2011.04.012 · DOI
- Sud'ina, 1993, Caffeic acid phenethyl ester as a lipoxygenase inhibitor with antioxidant properties, FEBS Lett, 329, 21, 10.1016/0014-5793(93)80184-V · DOI
- Lehmann, 2011, Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies, J Clin Invest, 121, 2750, 10.1172/JCI45014 · DOI · Paper page
- United National Scientific Committee on the Effects of Atomic Radiation, 2008, Sources and effects of ionizing radiation. UNSCEAR 2008 report to the General Assembly with scientific annexes. Vol. 1. New York: United Nations
- Krieglstein, 2012, TGF-beta in aging and disease, Cell Tissue Res, 347, 5, 10.1007/s00441-011-1278-3 · DOI
- Bianchi-Frias, 2010, The effects of aging on the molecular and cellular composition of the prostate microenvironment, PLoS One, 5:e12501
- Wright, 2006, Untargeted effects of ionizing radiation: Implications for radiation pathology, Mutation Res, 597, 119, 10.1016/j.mrfmmm.2005.03.035 · DOI
- Hashemi Goradel, 2019, Cyclooxygenase-2 in cancer: a review, J Cell Physiol, 234, 5683, 10.1002/jcp.27411 · DOI
- DeLong, 2003, Use of cyclooxygenase-2 inhibition to enhance the efficacy of immunotherapy, Cancer Res, 63, 7845
Cited by
Sorted by citations
A proposed change to astronaut exposures limits is a giant leap backwards for radiation protection
Cucinotta, F. A., Schimmerling, W., Blakely, E. A., & Hei, T. K. (2021) · Life Sciences in Space Research · doi:10.1016/j.lssr.2021.07.005 · Cited by 35
Metadata
- Authors
- Omene, C., Ma, L., Moore, J., Ouyang, H., Illa-Bochaca, I., Chou, W., Patel, M. S., Sebastiano, C., Demaria, S., Mao, J.-H., Karagoz, K., Gatza, M. L., & Barcellos-Hoff, M. H.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- University of California, San Francisco (US)
- New York University (US)
- Lawrence Berkeley National Laboratory (US)
- 1Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, New Jersey.
- 2University of California, San Francisco, San Francisco, California.
- ORCID
- Venue
- Cancer Immunology Research
- Published
- 2020-02-01
- Volume
- 8
- Issue
- 2
- Pages
- 217-229
- ISSN
- 2326-6066 (ISSN-L)
- 2326-6074
- PMC
- PMC7002223
- OpenAlex
- W2995320262
- Cited by
- 16
- References
- 2
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 1 · 2023: 2 · 2022: 3 · 2021: 5 · 2020: 1
- FWCI
- 1.49
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Cancer Immunology Research (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Funders
- NASA (NNX09AM52G)
- NIH (R01CA190980, R01CA19098005S1)
- University of California, San Francisco (K08 CA172722)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Effects of Radiation Exposure
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Immunology and Microbiology › Immunology › Immune cells in cancer
- Keywords
- radiation-induced cancer, breast cancer, immunosuppressive tumor microenvironment, lymphocyte infiltration, aging, particle radiation, gamma radiation, CD8+ T cells, myeloid cells, cyclooxygenase-2, TGF-beta, caffeic acid phenethyl ester, dietary intervention, cancer prevention, immunomodulators, honey bee products
- MeSH terms
- Age Factors, Animals, Diet, Dose-Response Relationship, Radiation, Female, Inflammation, Mammary Neoplasms, Experimental, Mice, Inbred BALB C, Neoplasms, Radiation-Induced, Tumor Suppressor Protein p53, Lymphocytes, Tumor-Infiltrating, Mice, Knockout, CD8-Positive T-Lymphocytes, Mice, Tumor Microenvironment, Transcriptome
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