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Paraneoplastic lipase and amylase production in a patient with small-cell lung cancer: case report

Overview of attention for article published in BMC Cancer, February 2016
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Title
Paraneoplastic lipase and amylase production in a patient with small-cell lung cancer: case report
Published in
BMC Cancer, February 2016
DOI 10.1186/s12885-016-2167-7
Pubmed ID
Authors

Andrea Casadei Gardini, Marita Mariotti, Alessandro Lucchesi, Sara Pini, Martina Valgiusti, Sara Bravaccini, Angelo Del Monte, Marco Angelo Burgio, Giorgia Marisi, Dino Amadori, Giovanni Luca Frassineti

Abstract

Small-cell lung cancer (SCLC) is known to express antigens of both the neural crest and epithelium, and to secrete polypeptide hormones and enzymes. Anecdotal reports correlate lung cancer with marked hyperamylasemia, and a review of the literature reveals only one case of metastatic SCLC linked to high paraneoplastic lipase production. We present the case of a patient with metastatic SCLC who showed both lipase and pancreatic isoamylase elevation in the absence of acute pancreatitis. Chemotherapy resulted in a rapid reduction in serum lipase and in pancreatic isoamylase which was correlated with the radiological response of the tumor to therapy. Lipase and pancreatic isoamylase expression in tumor cells from the lung biopsy was confirmed by immunohistochemical staining. This is a very rare case of paraneoplastic syndrome linked to metastatic SCLC. The enzymes secreted could be used as markers of response to treatment until clonal selection mechanisms and intratumor heterogeneity induce changes in biochemical characteristics and consequently in tumor behavior.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 19%
Researcher 2 13%
Lecturer 1 6%
Other 1 6%
Student > Master 1 6%
Other 3 19%
Unknown 5 31%
Readers by discipline Count As %
Medicine and Dentistry 4 25%
Nursing and Health Professions 2 13%
Chemistry 2 13%
Physics and Astronomy 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Other 0 0%
Unknown 6 38%