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Toxic epidermal necrolysis related to AP (pemetrexed plus cisplatin) and gefitinib combination therapy in a patient with metastatic non‐small cell lung cancer

Overview of attention for article published in Cancer Communications, November 2014
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Title
Toxic epidermal necrolysis related to AP (pemetrexed plus cisplatin) and gefitinib combination therapy in a patient with metastatic non‐small cell lung cancer
Published in
Cancer Communications, November 2014
DOI 10.5732/cjc.014.10151
Pubmed ID
Authors

Ji‐Jie Huang, Shu‐Xiang Ma, Xue Hou, Zhao Wang, Yin‐Duo Zeng, Tao Qin, Xiao‐Xiao Dinglin, Li‐Kun Chen

Abstract

Toxic epidermal necrolysis (TEN) is a rare acute life-threatening mucocutaneous disorder that is mostly drug-related (80%-95%). It is clinically characterized as a widespread sloughing of the skin and mucosa. The AP regimen (pemetrexed plus cisplatin) has been the preferred first-line chemotherapy for metastatic non-squamous non-small cell lung cancer (NSCLC). Gefitinib, a small-molecule epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI), has already been recommended as a first-line treatment in EGFR-mutant metastatic NSCLC. We report rare presentation of TEN involving adverse effects of AP and gefitinib combination treatment in a 42-year-old woman diagnosed with metastatic NSCLC harboring an EGFR mutation. On the 21st day after administration of the first cycle of AP and the 8th day after the initiation of gefitinib, she developed an acne-like rash, oral ulcer, and conjunctivitis, which later became blisters and ultimately denuded. The characteristic clinical courses were decisive for the diagnosis of TEN. Treatment with systemic steroids and immunoglobulin as well as supportive treatment led to an improvement of her general condition and a remarkable recovery.

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Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 19%
Student > Bachelor 5 16%
Other 4 13%
Student > Ph. D. Student 4 13%
Student > Postgraduate 2 6%
Other 5 16%
Unknown 6 19%
Readers by discipline Count As %
Medicine and Dentistry 13 41%
Biochemistry, Genetics and Molecular Biology 3 9%
Nursing and Health Professions 3 9%
Neuroscience 2 6%
Agricultural and Biological Sciences 2 6%
Other 3 9%
Unknown 6 19%