AI Tool Predicts Cancer Aggressiveness Using Protein Markers, Paving Way for Personalized Therapies

AI-Powered Cancer Aggressiveness Prediction

Researchers from Brazil and Poland have developed an innovative artificial intelligence tool that predicts tumor aggressiveness by identifying specific protein markers. This breakthrough, published in the journal Cell Genomics, could significantly impact cancer diagnosis and treatment strategies 1

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The PROTsi Model

The machine learning model, named protein expression-based stemness index (PROTsi), generates a stemness index ranging from zero to one. A score of zero indicates low aggressiveness, while one signifies high aggressiveness. As the index increases, the cancer tends to become more aggressive, drug-resistant, and likely to recur 1

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Professor Tathiane Malta from the University of São Paulo explains, "Many of these proteins are already targets of drugs available on the market for cancer patients and other diseases. They can be tested in future studies based on this identification" 1

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Development and Validation

The researchers developed PROTsi using data sets from the Clinical Proteomic Tumor Analysis Consortium (CPTAC) for 11 types of cancer. They analyzed over 1,300 samples of various cancers, including breast, ovarian, lung, kidney, uterine, brain, head and neck, colon, and pancreatic cancers 1

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By integrating PROTsi with proteomic data from 207 pluripotent stem cells, the team identified proteins driving tumor aggressiveness. These molecules could be potential targets for new general or specific therapies 1

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Advancements in Cancer Research

This new tool builds upon previous work by Professor Malta and her team. In 2018, they developed a stemness index based on gene expression and epigenomic data. The current PROTsi model focuses on proteomics, analyzing functional molecules that can be applied to treatment possibilities and clinical applications 2

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Renan Santos Simões, co-first author of the study, emphasizes the significance of this progress: "It's gratifying to realize that we're contributing to this process. That's what motivates us: knowing that what we do today can make a real difference for patients, improving treatments and quality of life" 1

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Implications for Cancer Treatment

The PROTsi tool contributes not only to advancing the clinical development of treatments but also to the personalization of cancer therapy. It has shown consistent performance across multiple data sets and demonstrated predictive ability in cases of uterine and head and neck cancer 2

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Global Cancer Landscape

The development of this AI tool comes at a crucial time in the fight against cancer. The World Health Organization reports that 40 people worldwide are diagnosed with cancer every minute 1

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. A 2023 study published in BMJ Oncology revealed a 79% increase in early-onset cancer incidence among adults under 50 between 1990 and 2019 1

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In Brazil alone, the National Cancer Institute estimates 704,000 new cancer cases per year from 2023 to 2025 1

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. This underscores the urgent need for advanced diagnostic and treatment tools like PROTsi in the global fight against cancer.

As cancer continues to present complex challenges, AI-powered tools like PROTsi offer hope for more accurate predictions, personalized treatments, and improved patient outcomes in the future.