Immune checkpoint inhibitors: autoimmune events and data mining
DOI:
https://doi.org/10.59681/2175-4411.v17.2025.1160Keywords:
data mining, immunotherapy, immune checkpoint inhibitors, neoplasms, drug-related side effects and adverse reactions, biomedical technologyAbstract
Objective: To ascertain which autoimmune events related to the use of immune checkpoint inhibitors have been discovered through data mining (DM) from the literature. Method: A rapid review was used. The databases searched were the Virtual Health Library (VHL), Embase and Pubmed. Fifteen studies were selected for analysis. Results: the most common autoimmune events found in the literature from data mining on the use of immune checkpoint inhibitors were renal, skin, musculoskeletal, hematological, pulmonary, cardiac and gastrointestinal toxicities, some of which were fatal. Conclusion: various events can occur with the use of immunotherapy, reinforcing the need for individualized monitoring. It is suggested that this therapy be investigated according to tumor type, correlating with demographic characteristics, as well as the use of information technologies to support health professionals.
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Copyright (c) 2025 Natália Marmitt, Sheron Tannara Vargas, Agnes Peruzzo Innocente, Diogo Ferreira Ducatti, Gabriel Ricardo Fernandes, Alessandra Dahmer, Mellina da Silva Terres
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