{"id":10035,"date":"2023-08-30T08:50:25","date_gmt":"2023-08-30T13:50:25","guid":{"rendered":"https:\/\/www.wisconsin.edu\/all-in-wisconsin-new\/?post_type=campus_story&p=10035"},"modified":"2023-08-30T08:50:25","modified_gmt":"2023-08-30T13:50:25","slug":"uw-madison-cancer-diagnosis-and-treatment-could-get-a-boost-from-machine-learning","status":"publish","type":"campus_story","link":"https:\/\/www.wisconsin.edu\/all-in-wisconsin\/story\/uw-madison-cancer-diagnosis-and-treatment-could-get-a-boost-from-machine-learning\/","title":{"rendered":"UW-Madison: Cancer diagnosis and treatment could get a boost from machine learning"},"content":{"rendered":"

Thanks to machine learning algorithms, short pieces of DNA floating in the bloodstream of cancer patients can help doctors diagnose specific types of cancer and choose the most effective treatment for a patient.<\/span>\u00a0<\/span><\/p>\n

The new analysis technique, created by University of Wisconsin\u2013Madison researchers<\/span>\u00a0and\u00a0<\/span>published recently in Annals of Oncology<\/span><\/a>, is compatible with \u201cliquid biopsy\u201d testing equipment already approved in the United States and in use in cancer clinics. This could speed the new method\u2019s path to helping patients.<\/span>\u00a0<\/span><\/p>\n

Liquid biopsies rely on simple blood draws instead of taking a piece of cancerous tissue from a tumor with a needle.<\/span>\u00a0<\/span><\/p>\n

\"Photo<\/a>
Marina Sharifi<\/figcaption><\/figure>\n

\u201cLiquid biopsies are much less invasive than a tissue biopsy \u2014 which may even be impossible to do in some cases, depending on where a patient\u2019s tumor is,\u201d says\u00a0<\/span>Marina Sharifi<\/span><\/a>, a professor of medicine and oncologist in UW\u2013Madison\u2019s School of Medicine and Public Health. \u201cIt\u2019s much easier to do them multiple times over the course of a patient\u2019s disease to monitor the status of cancer and its response to treatment.\u201d<\/span>\u00a0<\/span><\/p>\n

Cancerous tumors shed genetic material, called cell-free DNA, into the bloodstream as they grow. But not all parts of a cancer cell\u2019s DNA are likely to tumble away. Cells store some of their DNA by coiling it up in protective balls called histones. They unwrap sections to access parts of the genetic code as needed.<\/span>\u00a0<\/span><\/p>\n

Kyle Helzer, a UW\u2013Madison bioinformatics scientist, says that parts of the DNA containing the genes that cancer cells use often are uncoiled more frequently and thus are more likely to fragment.<\/p>\n

\u201cWe\u2019re exploiting that larger distribution of those regions among cell-free DNA to identify cancer types,\u201d adds Helzer, who is also a co-lead author of the study along with Sharifi and scientist Jamie Sperger.<\/span>\u00a0<\/span><\/p>\n

\"Photo<\/a>
Shuang Zhao<\/figcaption><\/figure>\n

The research team, led by UW\u2013Madison senior authors\u00a0<\/span>Shuang (George) Zhao<\/span><\/a>, professor of human oncology, and\u00a0<\/span>Joshua Lang<\/span><\/a>, professor of medicine, used DNA fragments found in blood samples from a past study of nearly 200 patients (some with, some without cancer), and new samples collected from more than 300 patients treated for breast, lung, prostate or bladder cancers at UW\u2013Madison and other research hospitals in the Big Ten Cancer Research Consortium.<\/span>\u00a0<\/span><\/p>\n

The scientists divided each group of samples into two. One portion was used to train a machine-learning algorithm to identify patterns among the fragments of cell-free DNA, relatively unique fingerprints specific to different types of cancers. They used the other portion to test the trained algorithm. The algorithm topped 80 percent accuracy translating the results of a liquid biopsy into both a cancer diagnosis and the specific types of cancer afflicting a patient.<\/span>\u00a0<\/span><\/p>\n

In addition, the machine learning approach was able to tell apart two subtypes of prostate cancer: the most common version, adenocarcinoma, and a swift-progressing variant called neuroendocrine prostate cancer (NEPC) that is resistant to standard treatment approaches. Because NEPC is often difficult to distinguish from adenocarcinoma, but requires aggressive action, it puts oncologists like Lang and Sharifi in a bind.<\/span>\u00a0<\/span><\/p>\n

\"Photo<\/a>
Joshua Lang<\/figcaption><\/figure>\n

\u201cCurrently, the only way to diagnose NEPC is via a needle biopsy of a tumor site, and it can be difficult to get a conclusive answer from this approach, even if we have a high clinical suspicion for NEPC,\u201d Sharifi says.<\/span>\u00a0<\/span><\/p>\n

\u201cLiquid biopsies have advantages,\u201d Sperger adds, \u201cin that you don\u2019t have to know which tumor site to biopsy at, and it is much easier for the patient to get a standard blood draw.\u201d<\/span>\u00a0<\/span><\/p>\n

The blood samples were processed using cell-free DNA sequencing technology marketed by Iowa-based Integrated DNA Technologies. Using standard panels like those currently in the clinic is a departure \u2014 one that can reduce the time and cost of testing \u2014 from other methods of \u201cfragmentomic\u201d analysis of cancer DNA in blood samples.<\/span>\u00a0<\/span><\/p>\n

\u201cMost commercial panels have been developed around the most important cancer genes that indicate certain drugs for treatment, and they sequence those select genes,\u201d says Zhao. \u201cWhat we\u2019ve shown is that we can use those same panels and same targeted genes to look at the fragmentomics of the cell-free DNA in a blood sample and identify the type of cancer a patient has.\u201d<\/span>\u00a0<\/span><\/p>\n

The UW Carbone Cancer Center\u2019s Circulating Biomarker Core and Biospecimen Disease-Oriented Team contributed to the collection of the study\u2019s hundreds of patient samples.<\/span>\u00a0<\/span><\/p>\n

This research was funded in part by grants from the National Institutes of Health (DP2 OD030734, 1UH2CA260389 and R01CA247479) and the Department of Defense (PC190039, PC200334 and PC180469.)<\/span><\/i><\/p>\n

\n

Written by Chris Barncard<\/p>\n

Link to original story: https:\/\/news.wisc.edu\/algorithmic-blood-test-analysis-will-ease-diagnosis-of-cancer-types-guide-treatment\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Thanks to machine learning algorithms, short pieces of DNA floating in the bloodstream of cancer patients can help doctors diagnose specific types of cancer and choose the most effective treatment for a patient.\u00a0 The new analysis technique, created by University of Wisconsin\u2013Madison researchers\u00a0and\u00a0published recently in Annals of Oncology, is compatible with \u201cliquid biopsy\u201d testing equipment […]<\/p>\n","protected":false},"author":15,"featured_media":10042,"comment_status":"closed","ping_status":"closed","template":"","institution":[103],"story_category":[],"class_list":["post-10035","campus_story","type-campus_story","status-publish","has-post-thumbnail","hentry","institution-uw-madison"],"_links":{"self":[{"href":"https:\/\/www.wisconsin.edu\/all-in-wisconsin\/wp-json\/wp\/v2\/campus_story\/10035","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.wisconsin.edu\/all-in-wisconsin\/wp-json\/wp\/v2\/campus_story"}],"about":[{"href":"https:\/\/www.wisconsin.edu\/all-in-wisconsin\/wp-json\/wp\/v2\/types\/campus_story"}],"author":[{"embeddable":true,"href":"https:\/\/www.wisconsin.edu\/all-in-wisconsin\/wp-json\/wp\/v2\/users\/15"}],"replies":[{"embeddable":true,"href":"https:\/\/www.wisconsin.edu\/all-in-wisconsin\/wp-json\/wp\/v2\/comments?post=10035"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.wisconsin.edu\/all-in-wisconsin\/wp-json\/wp\/v2\/media\/10042"}],"wp:attachment":[{"href":"https:\/\/www.wisconsin.edu\/all-in-wisconsin\/wp-json\/wp\/v2\/media?parent=10035"}],"wp:term":[{"taxonomy":"institution","embeddable":true,"href":"https:\/\/www.wisconsin.edu\/all-in-wisconsin\/wp-json\/wp\/v2\/institution?post=10035"},{"taxonomy":"story_category","embeddable":true,"href":"https:\/\/www.wisconsin.edu\/all-in-wisconsin\/wp-json\/wp\/v2\/story_category?post=10035"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}