| Literature DB >> 31753813 |
Steffen Dietz1,2, Petros Christopoulos2,3,4, Albrecht Stenzinger2,5,6, Holger Sültmann1,2, Lisa Gu1,2, Anna-Lena Volckmar5, Volker Endris5, Zhao Yuan7, Simon J Ogrodnik1,2, Tomasz Zemojtel8, Claus-Peter Heussel2,9, Marc A Schneider2,4, Michael Meister2,4, Thomas Muley2,4, Martin Reck10, Matthias Schlesner2,7, Michael Thomas2,3.
Abstract
Genetic rearrangements involving the anaplastic lymphoma kinase (ALK) gene confer sensitivity to ALK tyrosine kinase inhibitors (TKIs) and superior outcome in non-small-cell lung cancer (NSCLC). However, clinical courses vary widely, and recent studies suggest that molecular profiling of ALK+ NSCLC can provide additional predictors of therapy response that could assist further individualization of patient management. As repeated tissue biopsies often pose technical difficulties and significant procedural risk, analysis of tumor constituents circulating in the blood, including ctDNA and various proteins, is increasingly recognized as an alternative method of tumor sampling ("liquid biopsy"). Here, we report the case of a KLC1-ALK-rearranged NSCLC patient responding to crizotinib treatment and demonstrate how analysis of plasma and serum biomarkers can be used to identify the ALK fusion partner and monitor therapy over time. Results of ctDNA sequencing and copy-number alteration profiling as well as serum protein concentrations at various time points during therapy reflected the current remission status and could predict the subsequent clinical course. At the time of disease progression, we identified four distinct secondary mutations in the ALK gene in ctDNA potentially causing treatment failure, accompanied by rising levels of CEA and CYFRA 21-1. Moreover, several copy-number variations were detected at the end of the treatment, including an amplification of a region on Chromosome 12 encompassing the TP53 regulator MDM2 In summary, our findings illustrate the utility of noninvasive longitudinal molecular profiling for assessing remission status, exploring mechanisms of treatment failure, predicting subsequent clinical course, and dissecting dynamics of drug-resistant clones in ALK+ lung cancer.Entities:
Keywords: lung adenocarcinoma
Year: 2019 PMID: 31753813 PMCID: PMC6913150 DOI: 10.1101/mcs.a004630
Source DB: PubMed Journal: Cold Spring Harb Mol Case Stud ISSN: 2373-2873
Figure 1.(A) Schematic of the predicted genomic translocation of KLC1–ALK and aligned ctDNA reads in IGV spanning the rearrangement of KLC1 intron 8 and ALK intron 19. (B) Kinetics of mutated allele frequencies detected in ctDNA during treatment. Corresponding images (I1–I4) are shown in E. Phases of stable disease and progressive disease are indicated on top. (C) Kinetics of serum protein concentrations during treatment. Corresponding images (I1–I4) are shown in D. Phases of stable disease and progressive disease are indicated on top. (D) Corresponding chest CT of the primary tumor (on the left; I1, I3) and brain MRI images of cerebral metastases (on the right; I2, I4) taken during the therapy course. (E) Copy-number profiles of Chromosome 12 from sWGS of ctDNA. The upper panel shows the CNV profile before crizotinib treatment initiation; the bottom panel shows the CNV profile at the end of treatment. (SD) Stable disease, (PD) progressive disease, (CTx) chemotherapy, (RTx) whole-brain radiotherapy.
Genomic findings
| Gene | Chr | HGVS DNA ref | HGVS Protein ref | Variant type | Predicted effect | Allele frequency | Target coverage | Mutation read count |
|---|---|---|---|---|---|---|---|---|
| 2 | t(2;14)(p23.1;32.33) (hg19 Chr 2:29,223,717:Chr 14:103,673,469) | n/a | Oncogenic, sensitivity to | 8.09% | 5860× | 474 | ||
| 2 | c.3521T>G | p.F1174C | Substitution | Crizotinib resistance | 0.27% | 10,316× | 28 | |
| 2 | c.3522C>A | p.F1174L | Substitution | Crizotinib resistance | 0.79% | 10,192× | 81 | |
| 2 | c.3522C>G | p.P1174L | Substitution | Crizotinib resistance | 3.26% | 10,192× | 332 | |
| 2 | c.3806G>C | p.G1269A | Substitution | Crizotinib resistance | 0.51% | 16,190× | 83 |