The DOI matches its Crossref record; 50 of the 52 references it cites were found in a registry or an index.
CD36 Repression Activates a Multicellular Stromal Program Shared by High Mammographic Density and Tumor Tissues
Open accessPublished version of a preprint
Abstract
Although high mammographic density is considered one of the strongest risk factors for invasive breast cancer, the genes involved in modulating this clinical feature are unknown. Tissues of high mammographic density share key histologic features with stromal components within malignant lesions of tumor tissues, specifically low adipocyte and high extracellular matrix (ECM) content. We show that CD36, a transmembrane receptor that coordinately modulates multiple protumorigenic phenotypes, including adipocyte differentiation, angiogenesis, cell–ECM interactions, and immune signaling, is greatly repressed in multiple cell types of disease-free stroma associated with high mammographic density and tumor stroma. Using both in vitro and in vivo assays, we show that CD36 repression is necessary and sufficient to recapitulate the above-mentioned phenotypes observed in high mammographic density and tumor tissues. Consistent with a functional role for this coordinated program in tumorigenesis, we observe that clinical outcomes are strongly associated with CD36 expression. Significance: CD36 simultaneously controls adipocyte content and matrix accumulation and is coordinately repressed in multiple cell types within tumor and high mammographic density stroma, suggesting that activation of this stromal program is an early event in tumorigenesis. Levels of CD36 and extent of mammographic density are both modifiable factors that provide potential for intervention. Cancer Discov; 2(9); 826–39. ©2012 AACR. Read the Commentary on this article by DeClerck, p. 772. This article is highlighted in the In This Issue feature, p. 753.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Altered tissue mechanics are also likely to play a role in cancer development and premalignant disease; this is evidenced by the links between mammographic density and breast cancer incidence84.”
From A framework for advancing our understanding of cancer-associated fibroblasts (2020) · cites this paper as [84]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“This depends on RHO and RAB GTPase-mediated control of integrin-mediated adhesions and the actomyosin cytoskeleton81–83 and is linked to downregulation of the transmembrane receptor CD36 (also known as platelet glycoprotein 4)84.”
From A framework for advancing our understanding of cancer-associated fibroblasts (2020) · cites this paper as [84]
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
Matrix elasticity directs stem cell lineage specification
Engler, A. J., Sen, S., Sweeney, H. L., & Discher, D. E. (2006) · Cell · doi:10.1016/j.cell.2006.06.044 · Cited by 13,915
Exploration, normalization, and summaries of high density oligonucleotide array probe level data
Irizarry, R. A. (2003) · Biostatistics · doi:10.1093/biostatistics/4.2.249 · Cited by 10,603
Kalluri, R., & Zeisberg, M. (2006) · Nature Reviews Cancer · doi:10.1038/nrc1877 · Cited by 4,538
Matrix Crosslinking Forces Tumor Progression by Enhancing Integrin Signaling
Levental, K. R., Yu, H., Kass, L., Lakins, J. N., Egeblad, M., Erler, J. T., Fong, S. F. T., Csiszar, K., Giaccia, A., Weninger, W., et al. (2009) · Cell · doi:10.1016/j.cell.2009.10.027 · Cited by 4,101
Orimo, A., Gupta, P. B., Sgroi, D. C., Arenzana-Seisdedos, F., Delaunay, T., Naeem, R., Carey, V. J., Richardson, A. L., & Weinberg, R. A. (2005) · Cell · doi:10.1016/j.cell.2005.02.034 · Cited by 3,759
Understanding Adipocyte Differentiation
Gregoire, F. M., Smas, C. M., & Sul, H. S. (1998) · Physiological Reviews · doi:10.1152/physrev.1998.78.3.783 · Cited by 2,406
Stromal gene expression predicts clinical outcome in breast cancer
Finak, G., Bertos, N., Pepin, F., Sadekova, S., Souleimanova, M., Zhao, H., Chen, H., Ömeroğlu, G., Meterissian, S. H., Ömeroğlu, A., et al. (2008) · Nature Medicine · doi:10.1038/nm1764 · Cited by 1,707
Carcinoma-associated fibroblasts stimulate tumor progression of initiated human epithelium
Olumi, A., Grossfeld, G., Hayward, S., Carroll, P., Cunha, G., Hein, P., & Tlsty, T. (2000) · Breast Cancer Research · doi:10.1186/bcr138 · Cited by 1,463
Self-citationCollagen density promotes mammary tumor initiation and progression
Provenzano, P. P., Inman, D. R., Eliceiri, K. W., Knittel, J. G., Yan, L., Rueden, C., White, J. G., & Keely, P. J. (2008) · BMC Medicine · doi:10.1186/1741-7015-6-11 · Cited by 1,394
Macrophage polarization in tumour progression
Sica, A., Larghi, P., Mancino, A., Rubino, L., Porta, C., Totaro, M. G., Rimoldi, M., Biswas, S. K., Allavena, P., & Mantovani, A. (2008) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2008.03.004 · Cited by 1,241
Cited by
Sorted by citations
Items 101–200 of 211
Lipid Metabolism as a Potential Target of Liver Cancer
Wu, K., & Lin, F. (2024) · Journal of Hepatocellular Carcinoma · doi:10.2147/jhc.s450423 · Cited by 27
The Activin Social Network: Activin, Inhibin, and Follistatin in Breast Development and Cancer
Seachrist, D. D., & Keri, R. A. (2019) · Endocrinology · doi:10.1210/en.2019-00015 · Cited by 24
Phenotypic Plasticity of Fibroblasts during Mammary Carcinoma Development
Elwakeel, E., Brüggemann, M., Fink, A. F., Schulz, M. H., Schmid, T., Savai, R., Brüne, B., Zarnack, K., & Weigert, A. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20184438 · Cited by 24
The multifaceted role of the stroma in the healthy prostate and prostate cancer
Carlo, E. D., & Sorrentino, C. (2024) · Journal of Translational Medicine · doi:10.1186/s12967-024-05564-2 · Cited by 29
Chang, Y., Peng, H., Hu, C., Tien, S.-C., Chen, Y., Jeng, Y., & Chang, M. (2023) · Molecular Oncology · doi:10.1002/1878-0261.13442 · Cited by 23
Self-citationWang, L., Yang, C., Wang, Q., Liu, Q., Wang, Y., Zhou, J., Li, Y., Tan, Y., & Kang, C. (2020) · Theranostics · doi:10.7150/thno.45688 · Cited by 22
Strasser, M. K., Gibbs, D. L., Gascard, P. D., Bons, J., Hickey, J. W., Schürch, C. M., Tan, Y., Black, S., Chu, P., Özkan, A., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.06.08.544265 · Cited by 22
Self-citationStrand, F., Azavedo, E., Hellgren, R., Humphreys, K., Eriksson, M., Shepherd, J., Hall, P. N., & Czene, K. (2019) · Breast Cancer Research · doi:10.1186/s13058-019-1099-y · Cited by 19
Overexpression of CD36 in mammary fibroblasts suppresses colony growth in breast cancer cell lines
Cheng, Q., Jabbari, K., Winkelmaier, G., Andersen, C., Yaswen, P., Khoshdeli, M., & Parvin, B. (2020) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2020.03.061 · Cited by 20
Self-citationThompson, P. A., Huang, C., Yang, J., Wertheim, B. C., Roe, D. J., Zhang, X., Ding, J., Chalasani, P., Preece, C., Martinez, J. A., et al. (2021) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-21-0732 · Cited by 19
Cheng, Q., Bilgin, C. C., Fontenay, G., Chang, H., Henderson, M., Han, J., & Parvin, B. (2016) · Scientific Reports · doi:10.1038/srep28987 · Cited by 18
Self-citationLipid Metabolism in Cancer Cells
Zheng, M., Wang, W., Liu, J., Zhang, X., & Zhang, R. (2021) · Advances in experimental medicine and biology · doi:10.1007/978-981-33-6785-2_4 · Cited by 19
Virtanen, S., Schulte, R., Stingl, J., Caldas, C., & Shehata, M. (2021) · Breast Cancer Research · doi:10.1186/s13058-021-01444-5 · Cited by 17
Microenvironmental modulation of the developing tumour: an immune‐stromal dialogue
Jones, J. O., Moody, W. M., & Shields, J. D. (2020) · Molecular Oncology · doi:10.1002/1878-0261.12773 · Cited by 16
The pathobiology of mammographic density
Britt, K. L., Ingman, W. V., Huo, C. W., Chew, G. L., & Thompson, E. W. (2014) · QUT ePrints (Queensland University of Technology) · Cited by 16
Fatty acid translocase: a culprit of lipid metabolism dysfunction in disease
Rupert, J. E., & Kolonin, M. G. (2022) · Immunometabolism · doi:10.1097/in9.0000000000000001 · Cited by 17
Caruso, J. A., Wang, X., Murrow, L. M., Rodríguez, C. I., Chen‐Tanyolac, C., Vu, L., Chen, Y., Gascard, P. D., Gartner, Z. J., Kerlikowske, K. M., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2303774120 · Cited by 17
Self-citationImaging of cancer lipid metabolism in response to therapy
Arlauckas, S. P., Browning, E. A., Poptani, H., & Delikatny, E. J. (2019) · NMR in Biomedicine · doi:10.1002/nbm.4070 · Cited by 15
Nicolini, G., Balzan, S., & Forini, F. (2023) · Life Sciences · doi:10.1016/j.lfs.2023.121575 · Cited by 18
Breast Mammographic Density: Stromal Implications on Breast Cancer Detection and Therapy
Fernández‐Nogueira, P., Mancino, M., Fuster, G., Bragado, P., de Puig, M. P., Gascón, P., Casado, F. J., & Carbó, N. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9030776 · Cited by 15
Shin, J., Lee, J. E., Ko, H., Nguyen, T. L., Nam, S. J., Hopper, J. L., & Song, Y. (2017) · European Journal of Cancer Prevention · doi:10.1097/cej.0000000000000353 · Cited by 15
Strasser, M. K., Gibbs, D. L., Gascard, P. D., Bons, J., Hickey, J. W., Pan, D., Caruso, J. A., Wang, X., Chen‐Tanyolac, C., Bai, R., et al. (2025) · Developmental Cell · doi:10.1016/j.devcel.2025.06.034 · Cited by 39
Self-citationHermawan, A., & Putri, H. (2022) · BMC Genomic Data · doi:10.1186/s12863-022-01086-2 · Cited by 13
Jabbari, K., Winkelmaier, G., Andersen, C., Yaswen, P., Quilici, D. R., Furuta, S., Cheng, Q., & Parvin, B. (2021) · Cancers · doi:10.3390/cancers13184521 · Cited by 14
Self-citationBai, S., Song, D., Chen, M., Lai, X., Xu, J., & Dong, F. (2024) · BMC Women s Health · doi:10.1186/s12905-024-02960-0 · Cited by 11
Anxiety leads to up-regulation of CD36 on the monocytes of chronic hepatitis B-infected patients
Aliabad, M. H. B., Jafari, E., Kakh, M. K., Nosratabadi, R., Bakhshi, H., Sheikhha, M. H., Bidaki, R., Askari, A., & Arababadi, M. K. (2016) · The International Journal of Psychiatry in Medicine · doi:10.1177/0091217416680199 · Cited by 10
The Importance of Cancer-Associated Fibroblasts in the Pathogenesis of Head and Neck Cancers
Raudenská, M., Svobodová, M., Gumulec, J., Falk, M., & Masařík, M. (2020) · Klinicka onkologie · doi:10.14735/amko202039 · Cited by 10
Systematic profiling of immune signatures identifies prognostic predictors in lung adenocarcinoma
Mao, S., Li, Y., Lu, Z., Che, Y., Huang, J., Lei, Y., Wang, Y., Wang, X., Liu, C., Zheng, S., et al. (2020) · Cellular Oncology · doi:10.1007/s13402-020-00515-7 · Cited by 10
Characterising the adipose-inflammatory microenvironment in male breast cancer
Lees, T., Cullinane, A., Condon, A., Shaaban, A. M., Humphries, M. P., & Speirs, V. (2018) · Endocrine Related Cancer · doi:10.1530/erc-17-0407 · Cited by 10
Telomere-related gene risk model for prognosis prediction in colorectal cancer
Chen, H., Pan, Y., Lv, C., He, W. W., Wu, D., & Xuan, Q. (2024) · Translational Cancer Research · doi:10.21037/tcr-24-43 · Cited by 9
Jabbari, K., Cheng, Q., Winkelmaier, G., Furuta, S., & Parvin, B. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232112744 · Cited by 10
Self-citationInside anticancer therapy resistance and metastasis. Focus on CD36
Lambrescu, I. M., Gaina, G. F., Ceafalan, L. C., & Hinescu, M. E. (2024) · Journal of Cancer · doi:10.7150/jca.90457 · Cited by 11
Wei, T., Song, J., Liang, K., Li, L., Mo, X., Huang, Z., Chen, G., Mao, N., & Yang, J. (2021) · Journal of Cancer Research and Clinical Oncology · doi:10.1007/s00432-020-03489-z · Cited by 9
Dance, Y. W., Meshulam, T., Seibel, A. J., Obenreder, M. C., Layne, M. D., Nelson, C. M., & Tien, J. (2021) · Cellular and Molecular Bioengineering · doi:10.1007/s12195-021-00697-6 · Cited by 10
Wang, H., Zhu, Y.-N., Zhang, S., Liu, K., Huang, R., Li, Z., Lan, M., & Li, Y. (2025) · Molecular Medicine · doi:10.1186/s10020-025-01237-y · Cited by 9
Cheasley, D. A., Devereux, L., Hughes, S., Nickson, C., Procopio, P., Lee, G., Li, N., Pridmore, V., Elder, K., Mann, G. B., et al. (2020) · npj Breast Cancer · doi:10.1038/s41523-020-00176-7 · Cited by 8
Fang, W. B., Medrano, M., Cote, P., Portsche, M., Rao, V., Hong, Y., Behbod, F., Knapp, J. R., Bloomer, C., Noel‐MacDonnell, J., et al. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1130911 · Cited by 8
Mammographic Density and Prediction of Nodal Status in Breast Cancer Patients
Hack, C., Häberle, L., Geisler, K., Schulz-Wendtland, R., Hartmann, A., Fasching, P. A., Uder, M., Wachter, D. L., Jud, S. M., Loehberg, C. R., et al. (2013) · Geburtshilfe und Frauenheilkunde · doi:10.1055/s-0032-1328291 · Cited by 8
Breast Density and Breast Cancer Risk: Understanding of Biology and Risk
Pettersson, A., & Tamimi, R. M. (2014) · Current Epidemiology Reports · doi:10.1007/s40471-014-0018-0 · Cited by 8
Scavenger Receptor Class A to E Involved in Various Cancers
Ryu, S., Howland, A., Song, B., Youn, C.-K., & Song, P. I. (2020) · Chonnam Medical Journal · doi:10.4068/cmj.2020.56.1.1 · Cited by 7
Genetic dissection of the Mom5 modifier locus and evaluation of Mom5 candidate genes
Otterpohl, K. L., & Gould, K. A. (2015) · Mammalian Genome · doi:10.1007/s00335-015-9567-x · Cited by 7
Strategy of Hepatic Metabolic Defects Induced by beclin1 Heterozygosity in Adult Zebrafish
Mawed, S. A., He, Y., Zhang, J., & Mei, J. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21041533 · Cited by 7
Bad Cholesterol Uptake by CD36 in T-Cells Cripples Anti-Tumor Immune Response
Kolonin, M. G. (2021) · Immunometabolism · doi:10.20900/immunometab20210028 · Cited by 7
Mass Spectrometry Imaging of Fibroblasts: Promise and Challenge
Angel, P. M., Rujchanarong, D., Pippin, S., Spruill, L., & Drake, R. R. (2021) · Expert Review of Proteomics · doi:10.1080/14789450.2021.1941893 · Cited by 6
Seewaldt, V. L. (2012) · Nature · doi:10.1038/490490a · Cited by 7
Wu, X., Wang, Y., Peng, Z., Zhao, T., Tan, X., Yan, W., Zhou, Y., Xia, J. L., Qi, X., & Zhang, Y. (2025) · MedComm · doi:10.1002/mco2.70493 · Cited by 7
Yü, C., Yang, W., Li, T., Qin, Y., Gong, Y., & Cheng, W. (2023) · Open Medicine · doi:10.1515/med-2023-0836 · Cited by 5
Yoshida, G. J., Azuma, A., Miura, Y., & Orimo, A. (2020) · Vide Leaf, Hyderabad eBooks · doi:10.37247/pamb.1.2020.2 · Cited by 5
GIRK1 triggers multiple cancer-related pathways in the benign mammary epithelial cell line MCF10A
Schratter, G., Scheruebel, S., Langthaler, S., Ester, K., Pelzmann, B., Ghaffari‐Tabrizi‐Wizsy, N., Rezania, S., Gorischek, A., Platzer, D., Zorn‐Pauly, K., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-55683-w · Cited by 5
Wang, Y., Hsu, P., Hu, H., Lin, F., & Wei, X. (2025) · BMC Cancer · doi:10.1186/s12885-024-13278-3 · Cited by 4
CD36 – a plausible modifier of disease phenotype in familial adenomatous polyposis
Holmes, M., Connor, T., Oldmeadow, C. J., Pockney, P. G., Scott, R. J., & Talseth‐Palmer, B. A. (2018) · Hereditary Cancer in Clinical Practice · doi:10.1186/s13053-018-0096-y · Cited by 4
Li, M., Su, Y., Gao, Y., & Tian, W. (2024) · Briefings in Bioinformatics · doi:10.1093/bib/bbae422 · Cited by 3
Mammographic density as marker of increased risk of breast cancer
Гаджимурадовна, Л. П., Буданова, М. В., Игоревна, Б. И., Бадрузамановна, З. С., Mazo, M. L., Mikushin, S. Y., Павлович, П. С., & Ni, R. (2021) · Medical alphabet · doi:10.33667/2078-5631-2021-19-41-48 · Cited by 3
Ramírez-Farías, C., González‐Blas, D., & Quintanar‐Stephano, A. (2021) · Revista de Senología y Patología Mamaria · doi:10.1016/j.senol.2021.08.003 · Cited by 2
Snail1 as a key prognostic biomarker of cancer-associated fibroblasts in breast tumors
Peña, R., & Baulida, J. (2025) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2025.189316 · Cited by 2
Ayan, D., Bozkurt, Ş. B., Özmen, E., & Gül, M. A. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26125906 · Cited by 3
A compendium of adipocyte morphologies across different breast pathologies
Dodson, A., Hanna, K., PALMER, K., Ibrahim, H., Kusserow, K., Eid, R. A., Lip, G., Spence, N., Husain, E. A., Elsberger, B., et al. (2025) · Adipocyte · doi:10.1080/21623945.2025.2568540 · Cited by 2
Vissers, T. A. C. M., Piek, L., Patuleia, S. I. S., Duinmeijer, A., Bakker, M. F., van der Wall, E., van Diest, P. J., van Gils, C. H., & Moelans, C. B. (2022) · Cancers · doi:10.3390/cancers14153805 · Cited by 2
Mumtaz, S., Akhtar, N., Ahmed, A., & Qazi, A. S. (2024) · Cancer treatment and research · doi:10.1007/978-3-031-55622-7_8 · Cited by 3
Hsu, C., Saleh, R. O., Mohammed, J. S., Mansuri, N., M, R. M., Kundlas, M., Anand, A., Sahoo, S., Zwamel, A. H., & Hulail, H. M. (2025) · Experimental Cell Research · doi:10.1016/j.yexcr.2025.114581 · Cited by 3
A Provocative Molecular Link between Mammographic Density and BRCA1-loss associated TNBC.
Xu, J., Gbinigie, O., Footman, A., Hansen, N. M., Cheriyan, A. M., Koganti, K., Reddy, V., Yezdani, S., Eddy, V. J., De'smond, H., et al. (2019) · PubMed · doi:10.18689/ijhg-1000101 · Cited by 2
Hatina, J., Kripnerová, M., Houfková, K., Hajdůšková, M., Navvabi, N., Havlíčková, N., & Pešta, M. (2022) · Interdisciplinary cancer research · doi:10.1007/16833_2022_83 · Cited by 2
Walpita, P., Manage, S. A., Gunawardana, D. N., Gunasekara, B., Keerthi, A. A. P., Haputhanthri, P. R., & Perera, M. (2025) · Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy · doi:10.1016/j.saa.2025.127036 · Cited by 1
Differential prognostic significance of tumor size and node in invasive lobular carcinoma of breast
Kang, E. K., Shin, I. B., Jung, J.-J., Byeon, J., Choi, Y., Cheun, J.-H., Lee, H., Han, W., Kim, H. K., & Moon, H. (2025) · Breast Cancer Research · doi:10.1186/s13058-025-02141-3 · Cited by 1
Breast cancers arising in high mammographic density tissue harbor tumor-promoting immune profiles
Cheasley, D. A., Ruppert, M., Devereux, L., Jayawardana, M., Zhao, Q., Nickson, C., Pereira, M., Byrne, D. J., Fox, S. B., CAMPBELL, I. G., et al. (2026) · npj Breast Cancer · doi:10.1038/s41523-025-00884-y · Cited by 1
Biomarker Endpoints for Early-Phase Cancer-Prevention Studies
Sivasubramanian, P. S., & Crew, K. D. (2013) · Current Breast Cancer Reports · doi:10.1007/s12609-013-0116-x · Cited by 1
Burgess, D. J. (2012) · Nature reviews. Cancer · doi:10.1038/nrc3375 · Cited by 1
Fasching, P. A., Ekici, A. B., Wachter, D. L., Häberle, L., Loehberg, C. R., Schneider, M. O., Jud, S. M., Heusinger, K., Rübner, M., Schulz‐Wendtland, R., et al. (2013) · Cited by 1
Emerging techniques in breast MRI
Kazerouni, A. S., Dula, A. N., Jarrett, A. M., Lorenzo, G., Weis, J. A., Bankson, J. A., Chekmenev, E. Y., Pineda, F., Karczmar, G. S., & Yankeelov, T. E. (2022) · Advances in magnetic resonance technology and applications · doi:10.1016/b978-0-12-822729-9.00022-9 · Cited by 1
Autophagy in cancer-associated fibroblasts: biology and targeting
Ly, T., Gaur, G., & Thomas, S. M. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-99879-6.00004-3 · Cited by 1
Shi, X., Wang, X., Lu, J., Halakivi-Clarke, L., Clarke, R. C., Neuwald, A. F., & Xuan, J. (2025) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1012750 · Cited by 1
Tumor-Antagonizing Fibroblasts Secrete Prolargin as Tumor Suppressor in Hepatocellular CarcinomaPreprint
Chiavarina, B., Ronca, R., Otaka, Y., Sutton, R. B., Rezzola, S., Yokobori, T., Chiodelli, P., Souche, F.-R., Maraver, A., Faa, G., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.01.04.425182 · Cited by 1
Li, J., Gao, Y., Liu, Y., Bai, Z., Li, T., Ma, S., Zhang, Y., & Li, J. (2024) · Research Square · doi:10.21203/rs.3.rs-4540595/v1 · Cited by 1
Goldhammer, N., Bont, M., Warhadpande, S., Choi, M. Y., Cedano, J., Greenwood, H. I., Ye, J., Schwartz, C. J., Alvarado, M., Ewing, C. A., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.03.02.709108 · Cited by 1
The Relevance of the Mitochondrial H+-ATP Synthase in Cancer Biology
Martínez‐Reyes, I., & Cuezva, J. M. (2015) · Springer eBooks · doi:10.1007/978-3-7091-1824-5_11
Intracytoplasmic lipid droplets in high grade glioma : metabolism and target for therapy
Murren, R. (2018) · University of Birmingham Institutional Research Archive (University of Birmingham)
Cozzo, A. J. (2018) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/4jep-ge68
Mammographic density. A marker of treatment outcome in breast cancer
Skarping, I. D. (2020) · Lund University Publications (Lund University)
Role of Gene Polymorphism in Obesity and Cancer
Waseem, M., Husain, H., & Ahmad, I. (2021) · Springer eBooks · doi:10.1007/978-981-16-1846-8_7
Reye, G. (2021) · Queensland University of Technology · doi:10.5204/thesis.eprints.211468
Timpson, P. (2020) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.737260944.793580089
Eid, A. A., Njeim, R., Khuri, F. R., & Thomas, D. K. (2022) · Wiley eBooks · doi:10.1002/9781119000822.hfcm125.pub2
Thompson, P. A., Huang, C., Yang, J., Wertheim, B. C., Roe, D. J., Zhang, X., Ding, J., Chalasani, P., Preece, C., Martínez, J., et al. (2023) · doi:10.1158/1078-0432.c.6530630
Thompson, P. A., Huang, C., Yang, J., Wertheim, B. C., Roe, D. J., Zhang, X., Ding, J., Chalasani, P., Preece, C., Martínez, J., et al. (2023) · doi:10.1158/1078-0432.c.6530630.v1
Ahirwar, D. K., Charan, M., Mishra, S., Verma, A. K., Shilo, K., Ramaswamy, B., & Ganju, R. K. (2023) · doi:10.1158/0008-5472.c.6513622.v1
Ahirwar, D. K., Charan, M., Mishra, S., Verma, A. K., Shilo, K., Ramaswamy, B., & Ganju, R. K. (2023) · doi:10.1158/0008-5472.c.6513622
Dogra, S., Neelakantan, D., Patel, M. M., Griesel, B. A., Olson, A. L., & Woo, S. (2023) · doi:10.1158/1541-7786.22526565.v1
Rachman, A., Irawan, C., Aditia, R. R., Koesnoe, S., & Wijaya, I. (2023) · Indonesian Journal of Cancer Chemoprevention · doi:10.14499/indonesianjcanchemoprev14iss1pp12-21
Kanbayti, I. H., Alzahrani, M. A., Yeslam, Y. O., Habib, N. H., Hadadi, I., Almaimoni, Y., Alahmadi, A. A. S., & Ekpo, E. U. (2024) · Clinics and Practice · doi:10.3390/clinpract14010013 · Cited by 1
Studying Progression from Chronic Injury to Esophageal Adenocarcinoma
Tlsty, T. D. (2024) · Annual Review of Cancer Biology · doi:10.1146/annurev-cancerbio-062822-105541
Self-citationBurton, J. B., Gascard, P. D., Pan, D., Bons, J., Bai, R., Chen‐Tanyolac, C., Caruso, J. A., Hunter, C. L., Schilling, B., & Tlsty, T. D. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.21.634187
Self-citationPeta, K. T., Durandt, C., van Heerden, M. B., Pepper, M. S., & Ambele, M. A. (2025) · Current Research in Translational Medicine · doi:10.1016/j.retram.2025.103532
Walpita, P., Manage, S. A., Gunawardana, D. N., Gunasekara, B., Punya, K. A. A., Haputhanthri, P. R., & Perera, M. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5352447
Virtanen, S., Schulte, R., Stingl, J., Caldas, C., & Shehata, M. (2021) · Figshare · doi:10.6084/m9.figshare.14776646
Additional file 2 of Fibroblasts direct differentiation of human breast epithelial progenitors
Morsing, M., Kim, J., Villadsen, R., Goldhammer, N., Jafari, A., Kassem, M. S., PETERSEN, O. W., & Rønnov‐Jessen, L. (2020) · Figshare · doi:10.6084/m9.figshare.13024412
Additional file 3 of Fibroblasts direct differentiation of human breast epithelial progenitors
Morsing, M., Kim, J., Villadsen, R., Goldhammer, N., Jafari, A., Kassem, M. S., PETERSEN, O. W., & Rønnov‐Jessen, L. (2020) · Figshare · doi:10.6084/m9.figshare.13024418
Additional file 1 of Fibroblasts direct differentiation of human breast epithelial progenitors
Morsing, M., Kim, J., Villadsen, R., Goldhammer, N., Jafari, A., Kassem, M. S., PETERSEN, O. W., & Rønnov‐Jessen, L. (2020) · Figshare · doi:10.6084/m9.figshare.13024409
Hermawan, A., & Putri, H. (2022) · Figshare · doi:10.6084/m9.figshare.21137108
Bai, S., Song, D., Chen, M., Lai, X., Xu, J., & Dong, F. (2024) · Figshare · doi:10.6084/m9.figshare.25255859
Metadata
- Authors
- DeFilippis, R. A., Chang, H., Dumont, N., Rabban, J. T., Chen, Y.-Y., Fontenay, G. V., Berman, H. K., Gauthier, M. L., Zhao, J., Hu, D., Marx, J. J., Tjoe, J. A., Ziv, E., Febbraio, M., Kerlikowske, K., Parvin, B., & Tlsty, T. D.
- Affiliations
- Aurora Health Care (US)
- Corresponding author
- Tlsty, Thea D.
- ORCID
- Venue
- Cancer Discovery
- Published
- 2012-09-01
- Volume
- 2
- Issue
- 9
- Pages
- 826-839
- ISSN
- 2159-8274 (ISSN-L)
- 2159-8290
- PMC
- PMC3457705
- OpenAlex
- W2146971577
- Cited by
- 212
- References
- 52
- Citations by year
- 2026: 5 · 2025: 16 · 2024: 16 · 2023: 15 · 2022: 14 · 2021: 24 · 2020: 36 · 2019: 15 · 2018: 17 · 2017: 7 · 2016: 12 · 2015: 13 · 2014: 8 · 2013: 10 · 2012: 4
- FWCI
- 9.03
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Cancer Discovery (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Cancer Institute (U54CA143803, P01CA107584)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Digital Radiography and Breast Imaging
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Lipids, and Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Breast Cancer Treatment Studies
- Keywords
- CD36, breast density, breast cancer, tumor stroma, extracellular matrix, adipogenesis, adipose tissue, carcinogenesis, gene repression, tumor microenvironment, prognostic factors
- MeSH terms
- Animals, Breast Neoplasms, Cell Differentiation, Female, Humans, Mammography, Risk Factors, Signal Transduction, Stromal Cells, Adipocytes, Mice, Knockout, CD36 Antigens, Mice
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