The profile and clinical predicting effect of non-rash dermatologic toxicity related to targeted therapy in stage-IV non-small cell lung cancer patients.

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Title: The profile and clinical predicting effect of non-rash dermatologic toxicity related to targeted therapy in stage-IV non-small cell lung cancer patients.
Authors: Peng Y; Department of Oncology, Fangshan Hospital Beijing University of Chinese Medicine, Beijing, China.; Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, AZ, USA., Costello CM; Department of Dermatology, Mayo Clinic, AZ, USA., Liu Z; Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, AZ, USA.; School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China., Kumar AV; Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, AZ, USA., Gu Z; Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, AZ, USA., Kosuru N; Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, AZ, USA., Wampfler JA; Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, MN, USA., Reck Dos Santos PA; Division of Thoracic Surgery, Mayo Clinic, AZ, United States of America., D'Cunha J; Division of Thoracic Surgery, Mayo Clinic, AZ, United States of America., Ernani V; Division of Hematology and Medical Oncology, Department of Medicine, Mayo Clinic, AZ, USA., Yang P; Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, AZ, USA.
Source: Bioscience trends [Biosci Trends] 2025 May 09; Vol. 19 (2), pp. 221-231. Date of Electronic Publication: 2025 Mar 03.
Publication Type: Journal Article
Journal Info: Publisher: International Research and Cooperation Association for Bio & Socio-Sciences Advancement Country of Publication: Japan NLM ID: 101502754 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1881-7823 (Electronic) Linking ISSN: 18817815 NLM ISO Abbreviation: Biosci Trends Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1881-7823
DOI:10.5582/bst.2024.01424