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  • Open Access

    ARTICLE

    The Real-World Endocrine Toxicity Profile of ICIs, VEGFR-TKIs, and Their Combination: Analysis of the FDA Adverse Event Reporting System (FAERS) Database

    Nicola Marrano1,#, Mariangela Caporusso2,#, Cosimo Matino1,#, Irene Caruso3,#, Carlo Ganini4, Mimma Rizzo5, Ludovico Di Gioia2, Angelo Cignarelli1, Sebastio Perrini1,6, Luigi Laviola1, Camillo Porta4, Francesco Giorgino1,*, Annalisa Natalicchio1

    Oncology Research, Vol.34, No.5, 2026, DOI:10.32604/or.2026.074672 - 22 April 2026

    Abstract Background: Immune checkpoint inhibitors (ICIs) are a cornerstone of systemic therapy for renal cell carcinoma (RCC), used both in the adjuvant and metastatic settings across various lines of treatment, often in combination with vascular endothelial growth factor receptor tyrosine kinase inhibitors (VEGFR-TKIs). These therapies are associated with endocrine immune-related adverse events (irAEs), which can be irreversible and life-threatening if not promptly managed. Using data from the Food and Drug Administration Adverse Reporting System (FAERS), this study aimed to evaluate the real-world occurrence of endocrine irAEs in all approved VEGFR-TKI + ICI combinations for RCC, and… More >

  • Open Access

    ARTICLE

    From Similarities to Probabilities: Feature Engineering for Predicting Drugs’ Adverse Reactions

    Nahla H. Barakat*, Ahmed H. ElSabbagh

    Intelligent Automation & Soft Computing, Vol.32, No.2, pp. 1207-1224, 2022, DOI:10.32604/iasc.2022.022104 - 17 November 2021

    Abstract Social media recently became convenient platforms for different groups with common concerns to share their experiences, including Adverse Drug Reactions (ADRs). In this paper, we propose a two stage intelligent algorithm which we call “Simi_to_Prob”, that utilizes social media forums; for ranking ADRs, and evaluating the ADRs prevalence considering different age and gender groups as its first stage. In the second stage, ADRs are predicted utilizing a different data set from the Food and Drug Administration (FDA). In particular, Natural Language Processing (NLP) is used on social media to extract ranked lists of ADRs, which… More >

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