{"id":540,"date":"2015-11-23T13:38:45","date_gmt":"2015-11-23T21:38:45","guid":{"rendered":"https:\/\/keck.usc.edu\/news\/forecasting-the-path-of-breast-cancer-in-a-patient\/"},"modified":"2023-11-19T12:08:23","modified_gmt":"2023-11-19T20:08:23","slug":"forecasting-the-path-of-breast-cancer-in-a-patient","status":"publish","type":"post","link":"https:\/\/keck.usc.edu\/news\/forecasting-the-path-of-breast-cancer-in-a-patient\/","title":{"rendered":"Forecasting the path of breast cancer in a patient"},"content":{"rendered":"\n  \n    \n\n\n\n\n\n\n<div\n  class=\"cc--component-container cc--article-hero \"\n\n  \n  \n  \n  \n  \n  \n  >\n  <div class=\"c--component c--article-hero\"\n    \n      >\n\n    \n  <div class=\"text-container\">\n              \n<div class=\"f--field f--eyebrow\">\n\n    \n  <span>Press Release<\/span>\n\n\n\n<\/div>\n    \n              \n<div class=\"f--field f--page-title\">\n\n    \n      <h1>Forecasting the path of breast cancer in a patient<\/h1>\n\n\n<\/div>\n    \n    \n          <div class=\"meta\">\n                  <span class=\"author\">Zen Vuong<\/span>\n        \n                  <span class=\"date\">November 23, 2015<\/span>\n              <\/div>\n    \n              \n<div class=\"f--field f--embed\">\n\n    \n  <div class=\"heateor_sss_sharing_container heateor_sss_horizontal_sharing\" data-heateor-ss-offset=\"0\" data-heateor-sss-href='https:\/\/keck.usc.edu\/news\/forecasting-the-path-of-breast-cancer-in-a-patient\/'><div class=\"heateor_sss_sharing_ul\"><a aria-label=\"Facebook\" class=\"heateor_sss_facebook\" href=\"https:\/\/www.facebook.com\/sharer\/sharer.php?u=https%3A%2F%2Fkeck.usc.edu%2Fnews%2Fforecasting-the-path-of-breast-cancer-in-a-patient%2F\" title=\"Facebook\" rel=\"nofollow noopener\" target=\"_blank\" style=\"font-size:32px!important;box-shadow:none;display:inline-block;vertical-align:middle\"><span class=\"heateor_sss_svg\" 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2.004.382 2.75 1.146l2.777 2.79c.75.747 1.12 1.66 1.12 2.737 0 1.105-.392 2.045-1.183 2.817l1.186 1.186c.774-.79 1.708-1.186 2.805-1.186 1.078 0 1.995.377 2.75 1.132l2.804 2.804c.754.755 1.13 1.672 1.13 2.75z\"\/><\/svg><\/span><\/a><\/div><div class=\"heateorSssClear\"><\/div><\/div>\n\n\n<\/div>\n        \n  <\/div>\n\n          \n<div class=\"f--field f--image\">\n\n    \n    \n    \n        <figure>\n    \n    \n    \n              \n      <img\n                            data-src=\"https:\/\/keck.usc.edu\/news\/wp-content\/uploads\/sites\/68\/2023\/11\/Untitled-11-600x432.jpg\"\n                    data-sizes=\"(min-width:1200px) 75vw, (min-width:768px) 83vw, 100vw\"          class=\"lazyload\"\n        \n                alt=\"blood animation\"\n\n        \n                \n                                      \/>\n\n    \n          <figcaption><p>Hossein Jadvar, MD, PhD, MPH, MBA<\/p>\n<\/figcaption>\n    <\/figure>\n    \n  \n  \n\n<\/div>\n  \n\n  <\/div><\/div>\n\r\n\r\n\n\n  \n    \n\n\n\n\n\n\n<div\n  class=\"cc--component-container cc--rich-text white\"\n\n  \n  \n  \n  \n  \n  \n  >\n  <div class=\"c--component c--rich-text\"\n    \n      >\n\n    \n  <div class=\"inner-wrapper\">\n        \n<div class=\"f--field f--wysiwyg\">\n\n    \n  <p>USC researchers have developed a mathematical model to forecast metastatic breast cancer survival rates using techniques usually reserved for weather prediction, financial forecasting and surfing the Web.<br \/>\nFor decades, medical schools have taught doctors that the best way to treat cancer and metastatic progression is to memorize a list of tumors and their typical migration patterns. Metastasis is the development of malignant tumor growths elsewhere from the primary site of cancer.<br \/>\n\u201cThis is akin to back in the days when weather reporting depended solely on a barometer and experience,\u201d said\u00a0<a href=\"http:\/\/www.keckmedicine.org\/doctor\/jorge-j-nieva\/\">Jorge Nieva<\/a>, an associate professor of clinical medicine at the\u00a0<a href=\"https:\/\/keck.usc.edu\">Keck School of Medicine of USC<\/a>\u00a0and co-author of a new study. \u201cMedical students are taught very fundamental cancer progression patterns. What the modeling does is it brings the sort of complexity of modern-day weather forecasting to trying to understand where tumors go, when they go and how they get to that location. This type of mathematical modeling is wholeheartedly different from what most medical students learn today.\u201d<br \/>\nThe study,\u00a0<a href=\"http:\/\/www.nature.com\/articles\/npjbcancer201518\">published online<\/a>\u00a0Oct. 21 in the journal\u00a0<em>npj Breast Cancer<\/em>, a Nature Partner Journal, looked at 25 years of data regarding 446 breast cancer patients at Memorial Sloan Kettering Cancer Center. It focused on a subgroup of women who were diagnosed with localized disease but later relapsed with metastatic disease.<br \/>\nThe model shows that cancer metastasis is neither random nor unpredictable. Survival depends significantly on the location of the first metastatic site or \u201cspatiotemporal patterns.\u201d In other words, USC researchers uncovered a framework to explain how tumor cells circulate through a patient\u2019s bloodstream over time to settle in various organs. The path varies depending on tumor makeup and treatment decisions.<br \/>\n\u201cThere\u2019s nothing like this in the cancer world; there\u2019s nothing really like this in the disease progression community even though the techniques are well-developed in other contexts,\u201d said Paul Newton, lead author of the study and an aerospace and mechanical engineering professor in the USC Viterbi School of Engineering. \u201cOur long-term goal is to build comprehensive predictive computational simulations of metastatic cancer. Ultimately what we want to do is tailor those models to individual patients using their individual characteristics.\u201d<br \/>\n<strong>The concept<\/strong><br \/>\nThe framework USC researchers built combines scattered data points doctors are already collecting in order to produce\u00a0an\u00a0<a href=\"http:\/\/kuhn.usc.edu\/breast_cancer\/\">understandable, comprehensive cancer map<\/a>. The system design is comparable to information Google collects to predict Web surfing patterns and to determine PageRank.<br \/>\n\u201cIf somebody is reading about breast cancer on Wikipedia, the likelihood that she is going to jump to a lung cancer page or a bone cancer page is much higher than the likelihood of her jumping to the Costco website,\u201d said Newton, who is also a professor at the Norris Comprehensive Cancer Center in the Keck School of Medicine of USC as well as professor of mathematics. \u201cThese probabilities of jumping from one page to another are not all equal. Where you jump to next depends strongly on where you currently are. This observation lies at the heart of our model.\u201d<br \/>\n<strong>Chances of survival<\/strong><br \/>\nBreast cancer patients die when tumors have colonized an average of four metastatic sites, the study found. Women had the poorest chances of long-term survival if they had more than two initial metastatic locations; they fared much better if migrating tumor cells first landed on one organ.<br \/>\nRoughly 35 percent of breast cancer patients developed first metastasis to the bone, while less than 5 percent contracted their first metastasis in the brain, Newton said. The five-year survival of the bone group is more than 90 percent, whereas the brain group had survival characteristics of 20 percent or less, he said.<br \/>\nPeter Kuhn, senior author of the study, explained further.<br \/>\n\u201cIf you have breast cancer with metastasis to the bone and your next metastasis is the liver, you are likely to die from that,\u201d said Kuhn, Dean\u2019s Professor of Biological Sciences and professor of medicine, biomedical engineering, and aerospace, and mechanical engineering in the USC Dana and David Dornslife College of Letters, Arts and Sciences. \u201cIf you have breast cancer with metastasis to the bone and the next metastasis is in the lung, you are unlikely to die from that. Instead, the disease is going to spread further first.\u201d<br \/>\n<strong>Expanding the cancer treatment team<\/strong><br \/>\nThe study\u2019s results led the researchers to further define the words \u201cspreaders\u201d and \u201csponges\u201d to describe metastasis, a nomenclature that eventually could inform medical teams how best to deliver personalized therapy plans.<br \/>\n\u201cA spreader is a site that is likely the source of new disease,\u201d Kuhn said. \u201cHence you need to avoid spreaders or eliminate the disease if it shows up at a spreader site. At a sponge site, one might just manage or stabilize. Of course if you could eliminate all of it, you would. But if you have multiple metastasis, one would attempt to stabilize the sponge but eliminate the spreader.\u201d<br \/>\nBone, chest wall and mammary lymph nodes were spreader sites in the patients sampled. Lungs, distant lymph nodes and liver were sponge sites.<br \/>\nThe future of cancer care could be squads consisting of a biologist, a mathematician, a physicist and a computer programmer to complement the current medical teams, Newton said.<br \/>\nUSC is working on a\u00a0<a href=\"http:\/\/news.usc.edu\/67061\/why-biosciences-and-engineering-are-on-a-collision-course\/\">convergent science initiative<\/a>\u00a0that provides a collaborative environment for cancer experts. Construction of the\u00a0USC Michelson Center for Convergent Bioscience\u00a0broke ground in October 2014. It will eventually be the largest building on USC&#8217;s University Park\u00a0Campus.<br \/>\n\u201cOver the next five to 10 years, there\u2019s going to be a big change in the way medical schools and oncologists think about disease,\u201d he said. \u201cI could easily see a situation 10 years down the road where a patient comes in with a particularly difficult disease. The oncologists in charge will put together a team of researchers to develop a model to forecast disease progression and determine best treatment options that they would then implement.\u201d<br \/>\nMemorial Sloan Kettering Cancer Center contributed their clinical expertise and supplied the data set used in this study. The study was funded by a National Institutes of Health\/National Cancer Institute Physical Sciences-Oncology Centers Transnetwork Grant. An interactive website containing the study\u2019s diagrams are available at\u00a0<a href=\"http:\/\/universityofsoutherncalifornia.cmail19.com\/t\/j-l-hdliuuk-mttnpjl-f\/\">http:\/\/kuhn.usc.edu\/breast_cancer<\/a>.<\/p>\n\n\n\n<\/div>\n  <\/div>\n\n\n  <\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":60,"featured_media":487,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"advgb_blocks_editor_width":"","advgb_blocks_columns_visual_guide":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[6],"tags":[10,226,57,20],"class_list":["post-540","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-press-release","tag-cancer","tag-department-of-medicine","tag-recent","tag-research"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.2 (Yoast SEO v28.2) - 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