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Radiation recall reaction induced by gemcitabine/docetaxel in children: A retrospective study on risk factors and outcomes.
Pediatr Blood Cancer
October 2024
Extracranial Solid Tumors Unit, Pediatric Cancer Center Barcelona, Barcelona, Spain.
Article Synopsis
- Radiation recall reaction (RRR) is a rare inflammatory condition that occurs in areas previously exposed to radiation, and this study focuses on cases triggered by the chemotherapy combination of gemcitabine-docetaxel in pediatric patients.
- A retrospective analysis of 21 children treated with G/D and prior radiotherapy from 2010 to 2022 revealed that 76.2% experienced RRR, primarily affecting the deeper skin layers after two cycles of treatment.
- The findings suggest higher rates of RRR than previously documented, particularly with larger radiation volumes and shorter intervals between radiotherapy and chemotherapy, and indicate a risk of recurrence with re-exposure to G/D.
Relapse or recall? Docetaxel-associated re-emergence of paraneoplastic dermatomyositis.
JAAD Case Rep
August 2024
Department of Dermatology, Roswell Park Comprehensive Cancer Center, Buffalo, New York.
Radiation recall dermatitis in HER 2 positive breast cancer patients triggered by trastuzumab: A rare case report and review of literature.
Int J Surg Case Rep
July 2024
Department of Public Health, Atish Dipankar University of Science and Technology, Dhaka, Bangladesh; Voice of Doctors Research School, Dhaka, Bangladesh; Department of Orthopaedic Surgery, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, Yunnan, China. Electronic address:
Introduction And Importance: Radiation recall dermatitis (RRD) is a localized drug-induced inflammatory skin reaction occurring exclusively in a previously irradiated site months to years after discontinuation of ionizing radiation. The symptoms of RRD can range from mild redness to extensive dermatitis. Antineoplastic drugs such as doxorubicin, docetaxel, paclitaxel, and gemcitabine are most commonly associated with radiation recall reactions.
View Article and Find Full Text PDFPBAC: A pathway-based attention convolution neural network for predicting clinical drug treatment responses.
J Cell Mol Med
May 2024
The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
Article Synopsis
- Precise and personalized drug application is essential for treating complex diseases, and the PBAC model uses deep learning to enhance drug responsiveness predictions.
- PBAC consists of four layers that analyze biological pathways, improving the understanding of how drugs work in treating diseases.
- The model outperformed traditional methods in predicting drug response for several chemotherapy and immunotherapy datasets, highlighting its effectiveness and interpretability in identifying key cancer-related pathways.
Recall phenomenon induced by two different agents, iodinated non-ionic contrast and docetaxel-cisplatin, in a single patient.
Eur J Dermatol
April 2023
Department of Dermatology, Tohoku University Graduate School of Medicine, Sendai, Japan.
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