Sausville, E. A. & Burger, A. M. Contributions of Human Tumor Xenografts to Anticancer Drug Development. Cancer Res. 66, 3351–3354 (2006).
Google Scholar
Day, C. P., Merlino, G. & Van Dyke, T. Preclinical Mouse Cancer Models: A Maze of Opportunities and Challenges. Cell 163, 39–53 (2015).
Google Scholar
Holen, I., Speirs, V., Morrissey, B. & Blyth, K. In vivo models in breast cancer research: progress, challenges and future directions. Dis. Model. Mech. 10, 359–371 (2017).
Google Scholar
Hidalgo, M. et al. Patient-derived Xenograft models: an emerging platform for translational cancer research. Cancer Discov 4, 998–1013 (2014).
Google Scholar
Hait, W. N. Anticancer drug development: the grand challenges. Nat. Rev. Drug Discov. 9, 253–254 (2010).
Google Scholar
Johnson, J. I. et al. Relationships between drug activity in NCI preclinical in vitro and in vivo models and early clinical trials. Br. J. Cancer 84, 1424–1431 (2001).
Google Scholar
Prinz, F., Schlange, T. & Asadullah, K. Believe it or not: How much can we rely on published data on potential drug targets? Nat. Rev. Drug Discov. 10, 712–712 (2011).
Google Scholar
Whittle, J. R., Lewis, M. T., Lindeman, G. J. & Visvader, J. E. Patient-derived xenograft models of breast cancer and their predictive power. Breast Cancer Res. 17, 17 (2015).
Google Scholar
Yada, E., Wada, S., Yoshida, S. & Sasada, T. Use of patient-derived xenograft mouse models in cancer research and treatment. Future Sci. OA 4, FSO271 (2018).
Google Scholar
Shamseddin, M. et al. Contraceptive progestins with androgenic properties stimulate breast epithelial cell proliferation. EMBO Mol. Med. 13, e14314 (2021).
Google Scholar
Sflomos, G. et al. A preclinical model for ERα-positive breast cancer points to the epithelial microenvironment as determinant of luminal phenotype and hormone response. Cancer Cell 29, 407–422 (2016).
Google Scholar
Duss, S. et al. An oestrogen-dependent model of breast cancer created by transformation of normal human mammary epithelial cells. Breast Cancer Res 9, R38 (2007).
Google Scholar
Scabia, V. et al. Estrogen receptor positive breast cancers have patient specific hormone sensitivities and rely on progesterone receptor. Nat. Commun. 13, 3127 (2022).
Google Scholar
Fiche, M. et al. Intraductal patient-derived xenografts of estrogen receptor α-positive breast cancer recapitulate the histopathological spectrum and metastatic potential of human lesions. J. Pathol. 247, 287–292 (2019).
Google Scholar
Sflomos, G. et al. Intraductal xenografts show lobular carcinoma cells rely on their own extracellular matrix and LOXL1. EMBO Mol. Med. 13, e13180 (2021).
Google Scholar
Abdolahi, S. et al. Patient-derived xenograft (PDX) models, applications and challenges in cancer research. J. Transl. Med. 20, 206 (2022).
Google Scholar
Carpenter, R. S. et al. Human immune cells infiltrate the spinal cord and impair recovery after spinal cord injury in humanized mice. Sci. Rep. 9, 19105 (2019).
Google Scholar
Zhao, Y. et al. Development of a new patient-derived xenograft humanised mouse model to study human-specific tumour microenvironment and immunotherapy. Gut. 67, 1845–1854 (2018).
Google Scholar
Scherer, S. D. et al. An immune-humanized patient-derived xenograft model of estrogen-independent, hormone receptor positive metastatic breast cancer. Breast Cancer Res 23, 100 (2021).
Google Scholar
Dobrolecki, L. E. et al. Patient-derived xenograft (PDX) models in basic and translational breast cancer research. Cancer Metastasis Rev 35, 547–573 (2016).
Google Scholar
Kostlan, R. J. et al. Clinically Relevant Humanized Mouse Models of Metastatic Prostate Cancer Facilitate Therapeutic Evaluation. Mol. Cancer Res. 22, 826–839 (2024).
Google Scholar
Yang, Y. et al. Humanized mouse models: A valuable platform for preclinical evaluation of human cancer. Biotechnol. Bioeng. 121, 835–852 (2024).
Google Scholar
Henderson, B. E. & Feigelson, H. S. Hormonal carcinogenesis. Carcinogenesis 21, 427–433 (2000).
Google Scholar
Brisken, C. Progesterone signalling in breast cancer: a neglected hormone coming into the limelight. Nat. Rev. Cancer 13, 385–396 (2013).
Google Scholar
Singh, R. R. & Kumar, R. Steroid hormone receptor signaling in tumorigenesis. J. Cell. Biochem. 96, 490–505 (2005).
Google Scholar
Costa, A. R. et al. The sex bias of cancer. Trends Endocrinol. Metab. 31, 785–799 (2020).
Google Scholar
Manolagas, S. C. & Kousteni, S. Perspective: nonreproductive sites of action of reproductive hormones. Endocrinology 142, 2200–2204 (2001).
Google Scholar
Gil, D. et al. Dihydrotestosterone increases the risk of bladder cancer in men. Hum. Cell 32, 379–389 (2019).
Google Scholar
Godoy, G., Gakis, G., Smith, C. L. & Fahmy, O. Effects of androgen and estrogen receptor signaling pathways on bladder cancer initiation and progression. Bladder Cancer 2, 127–137 (2016).
Google Scholar
Chen, J. et al. The androgen receptor in bladder cancer. Nat. Rev. Urol. 20, 560–574 (2023).
Google Scholar
Li, Z., Tuteja, G., Schug, J. & Kaestner, K. H. Foxa1 and Foxa2 are essential for sexual dimorphism in liver cancer. Cell 148, 72–83 (2012).
Google Scholar
Zhang, L. et al. Sex steroid axes in determining male predominance in hepatocellular carcinoma. Cancer Lett. 555, 216037 (2023).
Google Scholar
Liu, J., Xu, T., Ma, L. & Chang, W. Signal pathway of estrogen and estrogen receptor in the development of thyroid cancer. Front. Oncol. 11, 59347 (2021).
Derwahl, M. & Nicula, D. Estrogen and its role in thyroid cancer. Endocr. Relat. Cancer 21, T273–T283 (2014).
Google Scholar
O’Grady, T. J. et al. Association of hormonal and reproductive factors with differentiated thyroid cancer risk in women: a pooled prospective cohort analysis. Int J. Epidemiol 53, dyad172 (2024).
Google Scholar
Kelsey, J. L. & Horn-ross, P. L. Breast cancer: Magnitude of the problem and descriptive epidemiology. Epidemiol. Rev. 15, 7–16 (1993).
Google Scholar
Chang-Claude, J. et al. Age at menarche and menopause and breast cancer risk in the International BRCA1/2 carrier cohort study. Cancer Epidemiol. Biomark. Prev. 16, 740–746 (2007).
Google Scholar
Colditz, G. A., Rosner, B. A., Chen, W. Y., Holmes, M. D. & Hankinson, S. E. Risk factors for breast cancer according to estrogen and progesterone receptor status. J. Natl Cancer Inst 96, 218–228 (2004).
Google Scholar
Travis, R. C. & Key, T. J. Oestrogen exposure and breast cancer risk. Breast Cancer Res. 5, 239 (2003).
Google Scholar
Villa, P. et al. Hormone replacement therapy in post-menopause hormone-dependent gynecological cancer patients: a narrative review. J. Clin. Med. 13, 1443 (2024).
Google Scholar
Bull, J. R. et al. Real-world menstrual cycle characteristics of more than 600,000 menstrual cycles. NPJ Digit. Med. 2, 83 (2019).
Google Scholar
Jänne, M., Deol, H. K., Power, S. G. A., Yee, S. P. & Hammond, G. L. Human sex hormone-binding globulin gene expression in transgenic mice. Mol. Endocrinol. 12, 123–136 (1998).
Google Scholar
van Weerden, W. M., Bierings, H. G., Van Steenbrugge, G. J., De Jong, F. H. & Schröder, F. H. Adrenal glands of mouse and rat do not synthesize androgens. Life Sci 50, 857–861 (1992).
Google Scholar
Nilsson, M. E. et al. Measurement of a comprehensive sex steroid profile in rodent serum by high-sensitive gas chromatography-tandem mass spectrometry. Endocrinology 156, 2492–2502 (2015).
Google Scholar
Beery, A. K. & Zucker, I. Sex bias in neuroscience and biomedical research. Neurosci. Biobehav. Rev. 35, 565–572 (2011).
Google Scholar
Zheng, D. et al. Sexual dimorphism in the incidence of human cancers. BMC Cancer 19, 684 (2019).
Google Scholar
Clocchiatti, A., Cora, E., Zhang, Y. & Dotto, G. P. Sexual dimorphism in cancer. Nat. Rev. Cancer 16, 330–339 (2016).
Google Scholar
Auchus, R. J. Steroid assays and endocrinology: best practices for basic scientists. Endocrinology 155, 2049–2051 (2014).
Google Scholar
Handelsman, D. J. & Wartofsky, L. Requirement for mass spectrometry sex steroid assays in the journal of clinical endocrinology and metabolism. J. Clin. Endocrinol. Metab. 98, 3971–3973 (2013).
Google Scholar
Rosner, W., Hankinson, S. E., Sluss, P. M., Vesper, H. W. & Wierman, M. E. Challenges to the measurement of estradiol: an endocrine society position statement. J. Clin. Endocrinol. Metab. 98, 1376–1387 (2013).
Google Scholar
Folkerd, E. J., Lønning, P. E. & Dowsett, M. Interpreting plasma estrogen levels in breast cancer: caution needed. J. Clin. Oncol. 32, 1396–1400 (2014).
Google Scholar
Karashima, S. & Osaka, I. Rapidity and precision of steroid hormone measurement. J. Clin. Med. 11, 956 (2022).
Google Scholar
Laszlo, C. F. et al. A high resolution LC–MS targeted method for the concomitant analysis of 11 contraceptive progestins and 4 steroids. J. Pharm. Biomed. Anal. 175, 112756 (2019).
Google Scholar
Wang, Q., Mesaros, C. & Blair, I. A. Ultra-high sensitivity analysis of estrogens for special populations in serum and plasma by liquid chromatography–mass spectrometry: assay considerations and suggested practices. J. Steroid Biochem. Mol. Biol. 162, 70–79 (2016).
Google Scholar
Cagnet, S. et al. Oestrogen receptor α AF-1 and AF-2 domains have cell population-specific functions in the mammary epithelium. Nat. Commun. 9, 4723 (2018).
Google Scholar
Ke, Y., Bertin, J., Gonthier, R., Simard, J. N. & Labrie, F. A sensitive, simple and robust LC-MS/MS method for the simultaneous quantification of seven androgen- and estrogen-related steroids in postmenopausal serum. J. Steroid Biochem. Mol. Biol. 144, 523–534 (2014).
Google Scholar
Nelson, R. E., Grebe, S. K., O’Kane, D. J. & Singh, R. J. Liquid chromatography–tandem mass spectrometry assay for simultaneous measurement of estradiol and estrone in human plasma. Clin. Chem. 50, 373–384 (2004).
Google Scholar
Vitku, J. et al. Derivatized versus non-derivatized LC-MS/MS techniques for the analysis of estrogens and estrogen-like endocrine disruptors in human plasma. Ecotoxicol. Environ. Saf. 260, 115083 (2023).
Google Scholar
Wood, G. A., Fata, J. E., Watson, K. L. M. & Khokha, R. Circulating hormones and estrous stage predict cellular and stromal remodeling in murine uterus. Reproduction 133, 1035–1044 (2007).
Google Scholar
Toran-Allerand, C. D., Tinnikov, A. A., Singh, R. J. & Nethrapalli, I. S. 17α-estradiol: a brain-active estrogen? Endocrinology 146, 3843–3850 (2005).
Google Scholar
Sims, N. A. et al. Deletion of estrogen receptors reveals a regulatory role for estrogen receptors-β in bone remodeling in females but not in males. Bone 30, 18–25 (2002).
Google Scholar
Lindberg, M. K. et al. Estrogen receptor specificity in the regulation of the skeleton in female mice. J. Endocrinol. 171, 229–236 (2001).
Google Scholar
Caldwell, A. S. L. et al. Characterization of reproductive, metabolic, and endocrine features of polycystic ovary syndrome in female hyperandrogenic mouse models. Endocrinology 155, 3146–3159 (2014).
Google Scholar
Handelsman, D. J. et al. Ultrasensitive serum estradiol measurement by liquid chromatography-mass spectrometry in postmenopausal women and mice. J. Endocr. Soc 4, bvaa086 (2020).
Google Scholar
Weng, Y. et al. Analysis of testosterone and dihydrotestosterone in mouse tissues by liquid chromatography-electrospray ionization-tandem mass spectrometry. Anal. Biochem. 402, 121–128 (2010).
Google Scholar
Kratz, A., Ferraro, M., Sluss, P. M. & Lewandrowski, K. B. Normal reference laboratory values. N. Engl. J. Med. 351, 1548–1563 (2004).
Google Scholar
Verdonk, S. J. E. et al. Estradiol reference intervals in women during the menstrual cycle, postmenopausal women and men using an LC-MS/MS method. Clin. Chim. Acta. 495, 198–204 (2019).
Google Scholar
Stricker, R. et al. Establishment of detailed reference values for luteinizing hormone, follicle-stimulating hormone, estradiol, and progesterone during different phases of the menstrual cycle on the Abbott ARCHITECT® analyzer. Clin. Chem. Lab. Med. 44, 883–887 (2006).
Google Scholar
de Wit, A. E. et al. Plasma androgens and the presence and course of depression in a large cohort of women. Transl. Psychiatry 11, 124 (2021).
Google Scholar
Kyriakopoulou, L. et al. A sensitive and rapid mass spectrometric method for the simultaneous measurement of eight steroid hormones and CALIPER pediatric reference intervals. Clin. Biochem. 46, 642–651 (2013).
Google Scholar
Wooding, K. M. et al. Measurement of estradiol, estrone, and testosterone in postmenopausal human serum by isotope dilution liquid chromatography tandem mass spectrometry without derivatization. Steroids 96, 89–94 (2015).
Google Scholar
Faqehi, A. M. M. et al. Derivatization of estrogens enhances specificity and sensitivity of analysis of human plasma and serum by liquid chromatography-tandem mass spectrometry. Talanta 151, 148–156 (2016).
Google Scholar
Li, X. & Franke, A. A. Improved profiling of estrogen metabolites by orbitrap LC/MS. SI Meas. Estrogen Expo. Metab. 99, 84–90 (2015).
Google Scholar
Kalra, S. P. & Kalra, P. S. Temporal interrelationships among circulating levels of estradiol, progesterone and LH during the rat estrous cycle: effects of exogenous progesterone. Endocrinology 95, 1711–1718 (1974).
Google Scholar
Denver, N., Khan, S., Homer, N. Z. M., MacLean, M. R. & Andrew, R. Current strategies for quantification of estrogens in clinical research. J. Steroid Biochem. Mol. Biol. 192, 105373 (2019).
Google Scholar
Shifren, J. L. et al. Transdermal testosterone treatment in women with impaired sexual function after oophorectomy. N. Engl. J. Med. 343, 682–688 (2000).
Google Scholar
Flores, A. et al. The acute effects of bilateral ovariectomy or adrenalectomy on progesterone, testosterone and estradiol serum levels depend on the surgical approach and the day of the estrous cycle when they are performed. Reprod. Biol. Endocrinol. 6, 48 (2008).
Google Scholar
Qureshi, R. et al. The major pre- and postmenopausal estrogens play opposing roles in obesity-driven mammary inflammation and breast cancer development. Cell Metab. 31, 1154–1172 (2020).
Google Scholar
Shaw, N. D. et al. Estrogen negative feedback on gonadotropin secretion: Evidence for a direct pituitary effect in women. J. Clin. Endocrinol. Metab. 95, 1955–1961 (2010).
Google Scholar
Glidewell-Kenney, C. et al. Nonclassical estrogen receptor α signaling mediates negative feedback in the female mouse reproductive axis. Proc. Natl. Acad. Sci. USA 104, 8173–8177 (2007).
Google Scholar
Knedla, A. et al. The therapeutic use of osmotic minipumps in the severe combined immunodeficiency (SCID) mouse model for rheumatoid arthritis. Ann Rheum Dis 68, 124–129 (2009).
Google Scholar
Tan, T., Watts, S. W. & Davis, R. P. Drug delivery: Enabling technology for drug discovery and development. iPRECIO® Micro Infusion Pump: programmable, refillable, and implantable. Front. Pharmacol. 2, 44 (2011).
Google Scholar
Itzhaki, E. et al. Tumor-targeted Poly(ArgGlyAsp) nanocapsules for personalized cancer therapy – in vivo study. Adv. Ther. 6, 2200337 (2023).
Google Scholar
Moskovits, N. et al. Palbociclib in combination with sunitinib exerts a synergistic anti-cancer effect in patient-derived xenograft models of various human cancers types. Cancer Lett. 536, 215665 (2022).
Google Scholar
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