{"id":5185,"date":"2026-04-10T15:51:23","date_gmt":"2026-04-10T13:51:23","guid":{"rendered":"https:\/\/urocat.cat\/2025\/08\/30\/an-algorithm-will-allow-us-to-predict-how-cancer-will-evolve-decades-before-it-manifests-itself\/"},"modified":"2026-04-28T14:15:44","modified_gmt":"2026-04-28T12:15:44","slug":"an-algorithm-will-allow-us-to-predict-how-cancer-will-evolve-decades-before-it-manifests-itself","status":"publish","type":"post","link":"https:\/\/urocat.cat\/en\/2026\/04\/10\/an-algorithm-will-allow-us-to-predict-how-cancer-will-evolve-decades-before-it-manifests-itself\/","title":{"rendered":"An algorithm will allow us to predict how cancer will evolve decades before it manifests itself"},"content":{"rendered":"\t\t
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An algorithm will allow us to predict how cancer will evolve decades before it manifests itself<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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A team of Catalan researchers from the National Center for Genomic Analysis (CNAG) and the Catalan Institute of Oncology (ICO) has achieved a first-rate scientific milestone: the development of a method capable of predicting how a cancer will evolve up to decades before it manifests clinically.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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The key to the research lies in the exhaustive analysis of the genetic and molecular footprints left by the first tumor cells when they are still imperceptible.<\/p>


These footprints work like a biological clock, which allows us to reconstruct the tumor’s past \u2014when exactly it originated\u2014 and, at the same time, project its future: the growth rate, the mutations it will acquire and even its ability to resist to certain treatments or not.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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This new method offers a kind of \u201ctumor temporal map\u201d, a dynamic cartography that allows us to understand the vital trajectory of cancer with precision.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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Using artificial intelligence techniques applied to millions of genomic data points, researchers can anticipate not only the speed of disease progression, but also its future cellular heterogeneity, that is, the diversity of tumor subclones that will ultimately define the prognosis and therapeutic response.<\/p>


The clinical implications are enormous: oncologists will be able to intervene long before the first symptoms appear, design more effective therapeutic strategies and personalize treatments based on the expected evolution of each tumor. This means that, in the near future, it will be possible to act preventively against tumors with a high risk of aggressiveness and, at the same time, avoid overtreatment in those with slower or limited evolution.<\/p>


According to those responsible for the study, this research places Catalonia at the forefront of precision and predictive medicine on an international scale. The work not only has an immediate impact on clinical practice but also opens the door to new lines of research to better understand the fundamental mechanisms of cancer and transform the way the disease is tackled.<\/p>

Ultimately, thanks to the joint effort of the CNAG and the ICO, cancer is no longer seen as just a present threat and becomes a predictable and controllable trajectory, a challenge that can be attacked at the right time and with the most appropriate weapons. This milestone marks a turning point in the fight against one of the great diseases of our time.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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An algorithm will allow us to predict how cancer will evolve decades before it manifests itself A team of Catalan researchers from the National Center for Genomic Analysis (CNAG) and the Catalan Institute of Oncology (ICO) has achieved a first-rate scientific milestone: the development of a method capable of predicting how a cancer will evolve […]<\/p>\n","protected":false},"author":1,"featured_media":5182,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_joinchat":[],"footnotes":""},"categories":[51],"tags":[],"class_list":["post-5185","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"acf":[],"yoast_head":"\nAn algorithm predicts the progression of cancer decades before symptoms appear<\/title>\n<meta name=\"description\" content=\"Scientists from the CNAG and the ICO are developing an AI algorithm capable of predicting the progression of cancer decades 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