Predictive models of response to neoadjuvant chemotherapy in muscle-invasive bladder cancer using nuclear morphology and tissue architecture
Tài liệu tham khảo
Howlader, 2017, 1
Ghosh, 2014, Targeted therapies in urothelial carcinoma, Curr. Opin. Oncol., 26, 305, 10.1097/CCO.0000000000000064
Grossman, 2003, Neoadjuvant chemotherapy plus cystectomy compared with cystectomy alone for locally advanced bladder cancer, N. Engl. J. Med., 349, 859, 10.1056/NEJMoa022148
Motterle, 2020, Predicting response to neoadjuvant chemotherapy in bladder cancer, Eur. Urol. Focus, 6, 642, 10.1016/j.euf.2019.10.016
Vale, 2005, Neoadjuvant chemotherapy in invasive bladder cancer: update of a systematic review and meta-analysis of individual patient data advanced bladder cancer (ABC) meta-analysis collaboration, Eur. Urol., 48, 202, 10.1016/j.eururo.2005.04.006
Guo, 2020, Assessment of luminal and basal phenotypes in bladder cancer, Sci. Rep., 10, 9743, 10.1038/s41598-020-66747-7
Tse, 2019, Molecular predictors of complete response following neoadjuvant chemotherapy in urothelial carcinoma of the bladder and upper tracts, Int. J. Mol. Sci., 20, 793, 10.3390/ijms20040793
Litjens, 2018, 1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset, Gigascience, 7, giy065, 10.1093/gigascience/giy065
Campanella, 2019, Clinical-grade computational pathology using weakly supervised deep learning on whole slide images, Nat. Med., 25, 1301, 10.1038/s41591-019-0508-1
Baras, 2016, The ratio of CD8 to Treg tumor-infiltrating lymphocytes is associated with response to cisplatin-based neoadjuvant chemotherapy in patients with muscle invasive urothelial carcinoma of the bladder, OncoImmunology, 5, e1134412, 10.1080/2162402X.2015.1134412
Baras, 2015, Identification and validation of protein biomarkers of response to neoadjuvant platinum chemotherapy in muscle invasive urothelial carcinoma, PLoS ONE, 10, e0131245, 10.1371/journal.pone.0131245
Gandhi, 2015, Gemcitabine and cisplatin neoadjuvant chemotherapy for muscle-invasive urothelial carcinoma: predicting response and assessing outcomes, Urol. Oncol., 33, 204.e1, 10.1016/j.urolonc.2015.02.011
Kiss, 2017, Her2 alterations in muscle-invasive bladder cancer: patient selection beyond protein expression for targeted therapy, Sci. Rep., 7, 42713, 10.1038/srep42713
Fleischmann, 2014, Tumor regression grade of urothelial bladder cancer after neoadjuvant chemotherapy: a novel and successful strategy to predict survival, Am. J. Surg. Pathol., 38, 325, 10.1097/PAS.0000000000000142
Seiler, 2017, Impact of molecular subtypes in muscle-invasive bladder cancer on predicting response and survival after neoadjuvant chemotherapy, Eur. Urol., 72, 544, 10.1016/j.eururo.2017.03.030
Bankhead, 2017, QuPath: open source software for digital pathology image analysis, Sci. Rep., 7, 16878, 10.1038/s41598-017-17204-5
Guy, 2018, Evaluation of image registration accuracy for tumor and organs at risk in the thorax for compliance with TG 132 recommendations, Adv. Radiat. Oncol., 4, 177, 10.1016/j.adro.2018.08.023
Schmidt, 2018, Cell detection with star-convex polygons, 265
Lee, 2013, Cell orientation entropy (COrE): predicting biochemical recurrence from prostate cancer tissue microarrays, 396
Wang, 2017, Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images, Sci. Rep., 7, 13543, 10.1038/s41598-017-13773-7
Claramunt, 2005, A spatial form of diversity, 218
Failmezger, 2020, Topological tumor graphs: a graph-based spatial model to infer stromal recruitment for immunosuppression in melanoma histology, Cancer Res., 80, 1199, 10.1158/0008-5472.CAN-19-2268
Pageon, 2016, Clus-DoC: a combined cluster detection and colocalization analysis for single-molecule localization microscopy data, Mol. Biol. Cell, 27, 3627, 10.1091/mbc.e16-07-0478
Joseph, 2019, Immune responses in bladder cancer-role of immune cell populations, prognostic factors and therapeutic implications, Front. Oncol., 9, 1270, 10.3389/fonc.2019.01270
Taber, 2020, Molecular correlates of cisplatin-based chemotherapy response in muscle invasive bladder cancer by integrated multi-omics analysis, Nat. Commun., 11, 4858, 10.1038/s41467-020-18640-0
Witkiewicz, 2011, The meaning of p16(ink4a) expression in tumors: functional significance, clinical associations and future developments, Cell Cycle, 10, 2497, 10.4161/cc.10.15.16776
Mendenhall, 2009, Human papillomavirus and head and neck cancer, Am. J. Clin. Oncol., 32, 535, 10.1097/COC.0b013e31818b8fee
Cheng, 2020, Computational analysis of pathological images enables a better diagnosis of TFE3 Xp11.2 translocation renal cell carcinoma, Nat. Commun., 11, 1778, 10.1038/s41467-020-15671-5
Xu, 2020, Computerized classification of prostate cancer gleason scores from whole slide images, IEEE/ACM Trans. Comput. Biol. Bioinform., 17, 1871, 10.1109/TCBB.2019.2941195
Cheng, 2018, Identification of topological features in renal tumor microenvironment associated with patient survival, Bioinformatics, 34, 1024, 10.1093/bioinformatics/btx723
Chandramouli, 2020, Computer extracted features from initial H&E tissue biopsies predict disease progression for prostate cancer patients on active surveillance, Cancers (Basel), 12, 2708, 10.3390/cancers12092708
Marusyk, 2020, Intratumor heterogeneity: the rosetta stone of therapy resistance, Cancer Cell, 37, 471, 10.1016/j.ccell.2020.03.007
Mi, 2020, Digital pathology analysis quantifies spatial heterogeneity of CD3, CD4, CD8, CD20, and FoxP3 immune markers in triple-negative breast cancer, Front. Physiol., 11, 583333, 10.3389/fphys.2020.583333
Heindl, 2015, Mapping spatial heterogeneity in the tumor microenvironment: a new era for digital pathology, Lab. Invest., 95, 377, 10.1038/labinvest.2014.155
Gong, 2019, Quantitative characterization of CD8+ T cell clustering and spatial heterogeneity in solid tumors, Front. Oncol., 8, 649, 10.3389/fonc.2018.00649
Ho, 2020, Integrated immunological analysis of a successful conversion of locally advanced hepatocellular carcinoma to resectability with neoadjuvant therapy, J. Immunother. Cancer, 8, e000932, 10.1136/jitc-2020-000932
Yarchoan, 2021, Feasibility and efficacy of neoadjuvant cabozantinib and nivolumab in patients with borderline resectable or locally advanced hepatocellular carcinoma (HCC), J. Clin. Oncol., 39, 335, 10.1200/JCO.2021.39.3_suppl.335
Virtanen, 2020, SciPy 1.0: fundamental algorithms for scientific computing in Python, Nat. Methods, 17, 261, 10.1038/s41592-019-0686-2