Objective response to mTOR inhibition in a metastatic collision tumor of the liver composed of melanoma and adenocarcinoma with TSC1 ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-12

AUTHORS

Munveer S. Bhangoo, Jenny Y. Zhou, Siraj M. Ali, Russell Madison, Alexa B. Schrock, Carrie Costantini

ABSTRACT

BACKGROUND: Collision tumors are uncommon but well described clinical entities composed of distinct tumor histologies occurring within the same anatomic site. Optimal management of patients with collision tumors remains highly variable and depends on clinical characteristics such as the involved tumor types, predominant histology, as well as the extent of disease. Comprehensive genomic profiling is a means of identifying genomic alterations to suggest benefit from targeted therapy. CASE PRESENTATION: A 78-year-old woman presented to medical oncology with liver metastases occurring within the background of a 1-year history of uveal melanoma. Biopsy of the liver metastases revealed presence of adenocarcinoma along with nests of malignant melanoma consistent with a collision tumor. The disease was refractory to several lines of conventional cytotoxic chemotherapy, and the patient later developed pulmonary metastases while on chemotherapy. The patient's tumor tissue was assayed by comprehensive genomic profiling which revealed presence of a TSC1 partial loss. The patient was subsequently initiated on temsirolimus 15 mg intravenously weekly for 4 months. Restaging imaging demonstrated a partial response to therapy by RECIST 1.1 criteria and clinical benefit for 6 months until the patient passed away secondary to unrelated causes. CONCLUSIONS: We report the first case of a collision tumor composed of adenocarcinoma and melanoma with a TSC1 mutation that objectively and durably responded to mTOR inhibition. More... »

PAGES

197

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12885-017-3167-y

DOI

http://dx.doi.org/10.1186/s12885-017-3167-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1084250516

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28302097


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