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Item Author Correction: Inhibitory effects of dopamine receptor D1 agonist on mammary tumor and bone metastasis(Springer Nature, 2022-11-03) Minami, Kazumasa; Liu, Shengzhi; Liu, Yang; Chen, Andy; Wan, Qiaoqiao; Na, Sungsoo; Li, Bai‑Yan; Matsuura, Nariaki; Koizumi, Masahiko; Yin, Yukun; Gan, Liangying; Xu, Aihua; Li, Jiliang; Nakshatri, Harikrishna; Yokota, Hiroki; Biomedical Engineering, School of Engineering and TechnologyThis corrects the article "Inhibitory Effects of Dopamine Receptor D1 Agonist on Mammary Tumor and Bone Metastasis" in volume 7, 45686. doi: 10.1038/srep45686Item The effect of marrow secretome and culture environment on the rate of metastatic breast cancer cell migration in two and three dimensions(American Society for Cell Biology, 2021-05) Curtis, Kimberly J.; Mai, Christine; Martin, Hannah; Oberman, Alyssa G.; Alderfer, Laura; Romero-Moreno, Ricardo; Walsh, Mark; Mitros, Stephen F.; Thomas, Scott G.; Dynako, Joseph A.; Zimmer, David I.; McNamara, Laoise M.; Littlepage, Laurie E.; Niebur, Glen L.; Medicine, School of MedicineMetastasis is responsible for over 90% of cancer-related deaths, and bone is the most common site for breast cancer metastasis. Metastatic breast cancer cells home to trabecular bone, which contains hematopoietic and stromal lineage cells in the marrow. As such, it is crucial to understand whether bone or marrow cells enhance breast cancer cell migration toward the tissue. To this end, we quantified the migration of MDA-MB-231 cells toward human bone in two- and three-dimensional (3D) environments. First, we found that the cancer cells cultured on tissue culture plastic migrated toward intact trabecular bone explants at a higher rate than toward marrow-deficient bone or devitalized bone. Leptin was more abundant in conditioned media from the cocultures with intact explants, while higher levels of IL-1β, IL-6, and TNFα were detected in cultures with both intact bone and cancer cells. We further verified that the cancer cells migrated into bone marrow using a bioreactor culture system. Finally, we studied migration toward bone in 3D gelatin. Migration speed did not depend on stiffness of this homogeneous gel, but many more dendritic-shaped cancer cells oriented and migrated toward bone in stiffer gels than softer gels, suggesting a coupling between matrix mechanics and chemotactic signals.Item Predicting melanoma survival and metastasis with interpretable histopathological features and machine learning models(Frontiers Media, 2023-01-06) Couetil, Justin; Liu, Ziyu; Huang, Kun; Zhang, Jie; Alomari, Ahmed K.; Medical and Molecular Genetics, School of MedicineIntroduction: Melanoma is the fifth most common cancer in US, and the incidence is increasing 1.4% annually. The overall survival rate for early-stage disease is 99.4%. However, melanoma can recur years later (in the same region of the body or as distant metastasis), and results in a dramatically lower survival rate. Currently there is no reliable method to predict tumor recurrence and metastasis on early primary tumor histological images. Methods: To identify rapid, accurate, and cost-effective predictors of metastasis and survival, in this work, we applied various interpretable machine learning approaches to analyze melanoma histopathological H&E images. The result is a set of image features that can help clinicians identify high-risk-of-metastasis patients for increased clinical follow-up and precision treatment. We use simple models (i.e., logarithmic classification and KNN) and "human-interpretable" measures of cell morphology and tissue architecture (e.g., cell size, staining intensity, and cell density) to predict the melanoma survival on public and local Stage I-III cohorts as well as the metastasis risk on a local cohort. Results: We use penalized survival regression to limit features available to downstream classifiers and investigate the utility of convolutional neural networks in isolating tumor regions to focus morphology extraction on only the tumor region. This approach allows us to predict survival and metastasis with a maximum F1 score of 0.72 and 0.73, respectively, and to visualize several high-risk cell morphologies. Discussion: This lays the foundation for future work, which will focus on using our interpretable pipeline to predict metastasis in Stage I & II melanoma.Item Recurrent Parotid Adenocarcinoma Presenting as Diffuse Myocardial Metastatic Disease(Allen Press, 2022) El-Am, Edward A.; Jarori, Upasana; Grethlein, Sara J.; Mastouri, Ronald; Khemka, Abhishek; Medicine, School of MedicineA 64-year-old man who had undergone treatment for left parotid adenocarcinoma presented with progressive exertional shortness of breath. Evaluation revealed metastatic invasion of the myocardium as a rare presentation of recurrent parotid adenocarcinoma. This case highlights the importance of using multimodal imaging methods in diagnostic evaluation and a collaborative multidisciplinary approach in managing patient care.Item Survival and New Prognosticators in Metastatic Seminoma: Results From the IGCCCG-Update Consortium(American Society of Clinical Oncology, 2021) Beyer, Jörg; Collette, Laurence; Sauvé, Nicolas; Daugaard, Gedske; Feldman, Darren R.; Tandstad, Torgrim; Tryakin, Alexey; Stahl, Olof; Gonzalez-Billalabeitia, Enrique; De Giorgi, Ugo; Culine, Stéphane; de Wit, Ronald; Hansen, Aaron R.; Bebek, Marko; Terbuch, Angelika; Albany, Costantine; Hentrich, Marcus; Gietema, Jourik A.; Negaard, Helene; Huddart, Robert A.; Lorch, Anja; Cafferty, Fay H.; Heng, Daniel Y. C.; Sweeney, Christopher J.; Winquist, Eric; Chovanec, Michal; Fankhauser, Christian; Stark, Daniel; Grimison, Peter; Necchi, Andrea; Tran, Ben; Heidenreich, Axel; Shamash, Jonathan; Sternberg, Cora N.; Vaughn, David J.; Duran, Ignacio; Bokemeyer, Carsten; Patrikidou, Anna; Cathomas, Richard; Assele, Samson; Gillessen, Silke; International Germ Cell Cancer Classification Update Consortium; Medicine, School of MedicinePurpose: The classification of the International Germ-Cell Cancer Collaborative Group (IGCCCG) has been a major advance in the management of germ-cell tumors, but relies on data of only 660 patients with seminoma treated between 1975 and 1990. We re-evaluated this classification in a database from a large international consortium. Materials and methods: Data on 2,451 men with metastatic seminoma treated with cisplatin- and etoposide-based first-line chemotherapy between 1990 and 2013 were collected from 30 institutions or collaborative groups in Australia, Europe, and North America. Clinical trial and registry data were included. Primary end points were progression-free survival (PFS) and overall survival (OS) calculated from day 1 of treatment. Variables at initial presentation were evaluated for their prognostic impact. Results were validated in an independent validation set of 764 additional patients. Results: Compared with the initial IGCCCG classification, in our modern series, 5-year PFS improved from 82% to 89% (95% CI, 87 to 90) and 5-year OS from 86% to 95% (95% CI, 94 to 96) in good prognosis, and from 67% to 79% (95% CI, 70 to 85) and 72% to 88% (95% CI, 80 to 93) in intermediate prognosis patients. Lactate dehydrogenase (LDH) proved to be an additional adverse prognostic factor. Good prognosis patients with LDH above 2.5× upper limit of normal had a 3-year PFS of 80% (95% CI, 75 to 84) and a 3-year OS of 92% (95% CI, 88 to 95) versus 92% (95% CI, 90 to 94) and 97% (95% CI, 96 to 98) in the group with lower LDH. Conclusion: PFS and OS in metastatic seminoma significantly improved in our modern series compared with the original data. The original IGCCCG classification retains its relevance, but can be further refined by adding LDH at a cutoff of 2.5× upper limit of normal as an additional adverse prognostic factor.