Transcriptomics-Guided Personalized Prescription of Targeted Therapeutics for Metastatic ALK-Positive Lung Cancer Case Following Recurrence on ALK Inhibitors.

Abstract

Non-small cell lung carcinoma (NSCLC) is the major cause of cancer-associated mortality. Identification of rearrangements in anaplastic lymphoma kinase (ALK) gene is an effective instrument for more effective targeted therapy of NSCLC using ALK inhibitors dramatically raising progression-free survival in the ALK-mutated group of patients. However, the tumors frequently develop resistance to ALK inhibitors. We describe here a case of 48 y.o. male patient with ALK-positive NSCLC who was clinically managed for 6.5 years from the diagnosis. The tumor was surgically resected, but 8 months later multiple brain metastases were discovered. The patient started receiving platinum-based chemotherapy and then was enrolled in a clinical trial of second-generation ALK inhibitor ceritinib, which resulted in a 21 months stabilization. Following disease relapse, the patient was successfully managed for 33 months with different lines of chemo- and local ablative therapies. Chemotherapy regimens, including off-label combination of crizotinib + bevacizumab + docetaxel, were selected using the cancer transcriptome data-guided bioinformatical decision support system Oncobox. These therapies led to additional stabilization for 22 months. Survival of our patient after developing resistance to ALK inhibitor was longer for 16 months than previously reported average survival for such cases. This case shows that transcriptomic-guided sequential personalized prescription of targeted therapies can be effective in terms of survival and quality of life in ALK-mutated NSCLC.

• Authors: Elena Poddubskaya, Alexey Bondarenko, Alexander Boroda, Evgenia Zotova, Alex Glusker, Svetlana Sletina, Luidmila Makovskaia, Philipp Kopylov, Marina Sekacheva, Alexey Moisseev, Madina Baranova
• Journal: Frontiers in oncology (Front Oncol) Vol. 9 Pg. 1026 ( 2019) ISSN: 2234-943X [Print] Switzerland
• PMID: 31681574 (Publication Type: Case Reports)
• Copyright: Copyright © 2019 Poddubskaya, Bondarenko, Boroda, Zotova, Glusker, Sletina, Makovskaia, Kopylov, Sekacheva, Moisseev and Baranova.