Arrowsmith J, Miller P. Phase II and phase III attrition rates 2011–2012. Nat Rev Drug Discov. 2013;12(8):569–569. https://doi.org/10.1038/nrd4090.
Article
CAS
PubMed
Google Scholar
de Jong M, Essers J, van Weerden WM. Imaging preclinical tumour models: improving translational power. Nat Rev Cancer. 2014;14(7):481–93. https://doi.org/10.1038/nrc3751.
Article
CAS
PubMed
Google Scholar
Ben-David U, Siranosian B, Ha G, Tang H, Oren Y, Hinohara K, Strathdee CA, Dempster J, Lyons NJ, Burns R, Nag A, Kugener G, Cimini B, Tsvetkov P, Maruvka YE, O’Rourke R, Garrity A, Tubelli AA, Bandopadhayay P, Tsherniak A, Vazquez F, Wong B, Birger C, Ghandi M, Thorner AR, Bittker JA, Meyerson M, Getz G, Beroukhim R, Golub TR. Genetic and transcriptional evolution alters cancer cell line drug response. Nature. 2018;560(7718):325–30. https://doi.org/10.1038/s41586-018-0409-3.
Article
CAS
PubMed
PubMed Central
Google Scholar
Moiola CP, Lopez-Gil C, Cabrera S, Garcia A, Van Nyen T, Annibali D, Fonnes T, Vidal A, Villanueva A, Matias-Guiu X, Krakstad C, Amant F, Gil-Moreno A, Colas E. Patient-derived xenograft models for endometrial cancer research. Int J Mol Sci. 2018. https://doi.org/10.3390/ijms19082431.
Article
PubMed
PubMed Central
Google Scholar
Van Nyen T, Moiola CP, Colas E, Annibali D, Amant F. Modeling endometrial cancer: past, present, and future. Int J Mol Sci. 2018. https://doi.org/10.3390/ijms19082348.
Article
PubMed
PubMed Central
Google Scholar
Espedal H, Fonnes T, Fasmer KE, Krakstad C, Haldorsen IS. Imaging of preclinical endometrial cancer models for monitoring tumor progression and response to targeted therapy. Cancers. 2019. https://doi.org/10.3390/cancers11121885.
Article
PubMed
PubMed Central
Google Scholar
Berg HF, Hjelmeland ME, Lien H, Espedal H, Fonnes T, Srivastava A, Stokowsky T, Strand E, Bozickovic O, Stefansson IM, Bjørge L, Trovik J, Haldorsen IS, Hoivik EA, Krakstad C. Patient-derived organoids reflect the genetic profile of endometrial tumors and predict patient prognosis. Commun Med. 2021;1(1):20. https://doi.org/10.1038/s43856-021-00019-x.
Article
Google Scholar
Haldorsen IS, Popa M, Fonnes T, Brekke N, Kopperud R, Visser NC, Rygh CB, Pavlin T, Salvesen HB, McCormack E, Krakstad C. Multimodal imaging of orthotopic mouse model of endometrial carcinoma. PLoS ONE. 2015;10(8): e0135220. https://doi.org/10.1371/journal.pone.0135220.
Article
CAS
PubMed
PubMed Central
Google Scholar
Miller KD, Nogueira L, Mariotto AB, Rowland JH, Yabroff KR, Alfano CM, Jemal A, Kramer JL, Siegel RL. Cancer treatment and survivorship statistics, 2019. CA Cancer J Clin. 2019;69(5):363–85. https://doi.org/10.3322/caac.21565.
Article
PubMed
Google Scholar
Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021. https://doi.org/10.3322/caac.21660.
Article
PubMed
Google Scholar
Amant F, Moerman P, Neven P, Timmerman D, Van Limbergen E, Vergote I. Endometrial cancer. Lancet. 2005;366(9484):491–505. https://doi.org/10.1016/S0140-6736(05)67063-8.
Article
PubMed
Google Scholar
Fung-Kee-Fung M, Dodge J, Elit L, Lukka H, Chambers A, Oliver T. Follow-up after primary therapy for endometrial cancer: a systematic review. Gynecol Oncol. 2006;101(3):520–9. https://doi.org/10.1016/j.ygyno.2006.02.011.
Article
PubMed
Google Scholar
Lu KH, Broaddus RR. Endometrial cancer. N Engl J Med. 2020;383(21):2053–64. https://doi.org/10.1056/NEJMra1514010.
Article
CAS
PubMed
Google Scholar
Matei D, Filiaci V, Randall ME, Mutch D, Steinhoff MM, DiSilvestro PA, Moxley KM, Kim YM, Powell MA, O’Malley DM, Spirtos NM, Small W Jr, Tewari KS, Richards WE, Nakayama J, Matulonis UA, Huang HQ, Miller DS. Adjuvant chemotherapy plus radiation for locally advanced endometrial cancer. N Engl J Med. 2019;380(24):2317–26. https://doi.org/10.1056/NEJMoa1813181.
Article
CAS
PubMed
PubMed Central
Google Scholar
Galaal K, Al Moundhri M, Bryant A, Lopes AD, Lawrie TA. Adjuvant chemotherapy for advanced endometrial cancer. Cochrane Database Syst Rev. 2014;2014(5): Cd010681. https://doi.org/10.1002/14651858.CD010681.pub2.
Article
PubMed Central
Google Scholar
Haldorsen IS, Salvesen HB. What is the best preoperative imaging for endometrial cancer? Curr Oncol Rep. 2016;18(4):25. https://doi.org/10.1007/s11912-016-0506-0.
Article
CAS
PubMed
PubMed Central
Google Scholar
Fasmer KE, Bjørnerud A, Ytre-Hauge S, Grüner R, Tangen IL, Werner HM, Bjørge L, Salvesen ØO, Trovik J, Krakstad C, Haldorsen IS. Preoperative quantitative dynamic contrast-enhanced MRI and diffusion-weighted imaging predict aggressive disease in endometrial cancer. Acta Radiol. 2018;59(8):1010–7. https://doi.org/10.1177/0284185117740932.
Article
PubMed
Google Scholar
Husby JA, Reitan BC, Biermann M, Trovik J, Bjorge L, Magnussen IJ, Salvesen OO, Salvesen HB, Haldorsen IS. Metabolic tumor volume on 18F-FDG PET/CT improves preoperative identification of high-risk endometrial carcinoma patients. J Nucl Med. 2015;56(8):1191–8. https://doi.org/10.2967/jnumed.115.159913.
Article
CAS
PubMed
Google Scholar
Bollineni VR, Ytre-Hauge S, Bollineni-Balabay O, Salvesen HB, Haldorsen IS. High diagnostic value of 18F-FDG PET/CT in endometrial cancer: systematic review and meta-analysis of the literature. J Nucl Med. 2016;57(6):879–85. https://doi.org/10.2967/jnumed.115.170597.
Article
CAS
PubMed
Google Scholar
Dias AH, Pedersen MF, Danielsen H, Munk OL, Gormsen LC. Clinical feasibility and impact of fully automated multiparametric PET imaging using direct Patlak reconstruction: evaluation of 103 dynamic whole-body 18F-FDG PET/CT scans. Eur J Nucl Med Mol Imaging. 2020. https://doi.org/10.1007/s00259-020-05007-2.
Article
PubMed
Google Scholar
Fonnes T, Strand E, Fasmer KE, Berg HF, Espedal H, Sortland K, Stefansson I, Bjorge L, Haldorsen IS, Krakstad C, McCormack E. Near-infrared fluorescent imaging for monitoring of treatment response in endometrial carcinoma patient-derived xenograft models. Cancers. 2020. https://doi.org/10.3390/cancers12020370.
Article
PubMed
PubMed Central
Google Scholar
Yushkevich PA, Piven J, Hazlett HC, Smith RG, Ho S, Gee JC, Gerig G. User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. Neuroimage. 2006;31(3):1116–28. https://doi.org/10.1016/j.neuroimage.2006.01.015.
Article
PubMed
Google Scholar
Boellaard R, Delgado-Bolton R, Oyen WJ, Giammarile F, Tatsch K, Eschner W, Verzijlbergen FJ, Barrington SF, Pike LC, Weber WA, Stroobants S, Delbeke D, Donohoe KJ, Holbrook S, Graham MM, Testanera G, Hoekstra OS, Zijlstra J, Visser E, Hoekstra CJ, Pruim J, Willemsen A, Arends B, Kotzerke J, Bockisch A, Beyer T, Chiti A, Krause BJ, European Association of Nuclear M. FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0. Eur J Nucl Med Mol Imaging. 2015;42(2):328–54. https://doi.org/10.1007/s00259-014-2961-x.
Article
CAS
PubMed
Google Scholar
Fasmer KE, Gulati A, Dybvik JA, Ytre-Hauge S, Salvesen Ø, Trovik J, Krakstad C, Haldorsen IS. Preoperative 18F-FDG PET/CT tumor markers outperform MRI-based markers for the prediction of lymph node metastases in primary endometrial cancer. Eur Radiol. 2020;30(5):2443–53. https://doi.org/10.1007/s00330-019-06622-w.
Article
PubMed
PubMed Central
Google Scholar
Lanz B, Poitry-Yamate C, Gruetter R. Image-derived input function from the vena cava for 18F-FDG PET studies in rats and mice. J Nucl Med. 2014;55(8):1380–8. https://doi.org/10.2967/jnumed.113.127381.
Article
CAS
PubMed
Google Scholar
Thackeray JT, Bankstahl JP, Bengel FM. Impact of image-derived input function and fit time intervals on Patlak quantification of myocardial glucose uptake in mice. J Nucl Med. 2015;56(10):1615–21. https://doi.org/10.2967/jnumed.115.160820.
Article
CAS
PubMed
Google Scholar
Patlak CS, Blasberg RG. Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. Generalizations. J Cereb Blood Flow Metab. 1985;5(4):584–90. https://doi.org/10.1038/jcbfm.1985.87.
Article
CAS
PubMed
Google Scholar
Lear JL, Ackermann RF. Regional comparison of the lumped constants of deoxyglucose and fluorodeoxyglucose. Metab Brain Dis. 1989;4(2):95–104. https://doi.org/10.1007/BF00999387.
Article
CAS
PubMed
Google Scholar
Bankhead P, Loughrey MB, Fernandez JA, Dombrowski Y, McArt DG, Dunne PD, McQuaid S, Gray RT, Murray LJ, Coleman HG, James JA, Salto-Tellez M, Hamilton PW. QuPath: open source software for digital pathology image analysis. Sci Rep. 2017;7(1):16878. https://doi.org/10.1038/s41598-017-17204-5.
Article
CAS
PubMed
PubMed Central
Google Scholar
Husby JA, Salvesen ØO, Magnussen IJ, Trovik J, Bjørge L, Salvesen HB, Haldorsen IS. Tumour apparent diffusion coefficient is associated with depth of myometrial invasion and is negatively correlated to tumour volume in endometrial carcinomas. Clin Radiol. 2015;70(5):487–94. https://doi.org/10.1016/j.crad.2014.12.016.
Article
CAS
PubMed
Google Scholar
Sha W, Ye H, Iwamoto KS, Wong KP, Wilks MQ, Stout D, McBride W, Huang SC. Factors affecting tumor (18) F-FDG uptake in longitudinal mouse PET studies. EJNMMI Res. 2013;3:51. https://doi.org/10.1186/2191-219X-3-51.
Article
CAS
PubMed
PubMed Central
Google Scholar
Williams SP, Flores-Mercado JE, Port RE, Bengtsson T. Quantitation of glucose uptake in tumors by dynamic FDG-PET has less glucose bias and lower variability when adjusted for partial saturation of glucose transport. EJNMMI Res. 2012;2:6. https://doi.org/10.1186/2191-219X-2-6.
Article
CAS
PubMed
PubMed Central
Google Scholar
Miller D, Filiaci V, Fleming G, Mannel R, Cohn D, Matsumoto T, Tewari K, DiSilvestro P, Pearl M, Zaino R. Randomized phase III noninferiority trial of first line chemotherapy for metastatic or recurrent endometrial carcinoma: a gynecologic oncology group study. Gynecol Oncol. 2012. https://doi.org/10.1016/j.ygyno.2012.03.034.
Article
PubMed
PubMed Central
Google Scholar
Contreras CM, Akbay EA, Gallardo TD, Haynie JM, Sharma S, Tagao O, Bardeesy N, Takahashi M, Settleman J, Wong KK, Castrillon DH. Lkb1 inactivation is sufficient to drive endometrial cancers that are aggressive yet highly responsive to mTOR inhibitor monotherapy. Dis Model Mech. 2010;3(3–4):181–93. https://doi.org/10.1242/dmm.004440.
Article
CAS
PubMed
PubMed Central
Google Scholar
Bian X, Gao J, Luo F, Rui C, Zheng T, Wang D, Wang Y, Roberts TM, Liu P, Zhao JJ, Cheng H. PTEN deficiency sensitizes endometrioid endometrial cancer to compound PARP-PI3K inhibition but not PARP inhibition as monotherapy. Oncogene. 2018;37(3):341–51. https://doi.org/10.1038/onc.2017.326.
Article
CAS
PubMed
Google Scholar
Herneth AM, Guccione S, Bednarski M. Apparent diffusion coefficient: a quantitative parameter for in vivo tumor characterization. Eur J Radiol. 2003;45(3):208–13. https://doi.org/10.1016/s0720-048x(02)00310-8.
Article
PubMed
Google Scholar
Cebulla J, Huuse EM, Pettersen K, van der Veen A, Kim E, Andersen S, Prestvik WS, Bofin AM, Pathak AP, Bjorkoy G, Bathen TF, Moestue SA. MRI reveals the in vivo cellular and vascular response to BEZ235 in ovarian cancer xenografts with different PI3-kinase pathway activity. Br J Cancer. 2015;112(3):504–13. https://doi.org/10.1038/bjc.2014.628.
Article
CAS
PubMed
Google Scholar
Salvesen HB, Haldorsen IS, Trovik J. Markers for individualised therapy in endometrial carcinoma. Lancet Oncol. 2012;13(8):e353-361. https://doi.org/10.1016/S1470-2045(12)70213-9.
Article
PubMed
Google Scholar
Huang Y, Huang J, Feng M, Ren J, Mi K, Cheng J, Song B, Lang J. Early changes in the apparent diffusion coefficient and MMP-9 expression of a cervical carcinoma U14 allograft model following irradiation. Oncol Lett. 2017;14(6):6769–75. https://doi.org/10.3892/ol.2017.7035.
Article
CAS
PubMed
PubMed Central
Google Scholar
Wang Y, Ren F, Li B, Song Z, Chen P, Ouyang L. Ellagic acid exerts antitumor effects via the PI3K signaling pathway in endometrial cancer. J Cancer. 2019;10(15):3303–14. https://doi.org/10.7150/jca.29738.
Article
CAS
PubMed
PubMed Central
Google Scholar
Foster B, Bagci U, Mansoor A, Xu Z, Mollura DJ. A review on segmentation of positron emission tomography images. Comput Biol Med. 2014;50:76–96. https://doi.org/10.1016/j.compbiomed.2014.04.014.
Article
PubMed
Google Scholar