1
|
Thurfjell V, Micke P, Yu H, Krupar R, Svensson MA, Brunnström H, Lamberg K, Moens LNJ, Strell C, Gulyas M, Helenius G, Yoshida A, Goldmann T, Mattsson JSM. Comparison of ROS1-rearrangement detection methods in a cohort of surgically resected non-small cell lung carcinomas. Transl Lung Cancer Res 2022; 11:2477-2494. [PMID: 36636421 PMCID: PMC9830269 DOI: 10.21037/tlcr-22-504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 11/06/2022] [Indexed: 12/14/2022]
Abstract
Background Patients with non-small cell lung cancer (NSCLC) harboring a ROS proto-oncogene 1 (ROS1)-rearrangement respond to treatment with ROS1 inhibitors. To distinguish these rare cases, screening with immunohistochemistry (IHC) for ROS1 protein expression has been suggested. However, the reliability of such an assay and the comparability of the antibody clones has been debated. Therefore we evaluated the diagnostic performance of current detection strategies for ROS1-rearrangement in two NSCLC-patient cohorts. Methods Resected tissue samples, retrospectively collected from consecutive NSCLC-patients surgically treated at Uppsala University Hospital were incorporated into tissue microarrays [all n=676, adenocarcinomas (AC) n=401, squamous cell carcinomas (SCC) n=213, other NSCLC n=62]. ROS1-rearrangements were detected using fluorescence in situ hybridization (FISH) (Abbott Molecular; ZytoVision). In parallel, ROS1 protein expression was detected using IHC with three antibody clones (D4D6, SP384, EPMGHR2) and accuracy, sensitivity, and specificity were determined. Gene expression microarray data (Affymetrix) and RNA-sequencing data were available for a subset of patients. NanoString analyses were performed for samples with positive or ambiguous results (n=21). Results Using FISH, 2/630 (0.3% all NSCLC; 0.5% non-squamous NSCLC) cases were positive for ROS1 fusion. Additionally, nine cases demonstrated ambiguous FISH results. Using IHC, ROS1 protein expression was detected in 24/665 (3.6% all NSCLC; 5.1% non-squamous NSCLC) cases with clone D4D6, in 18/639 (2.8% all NSCLC; 3.9% non-squamous NSCLC) cases with clone SP384, and in 1/593 (0.2% all NSCLC; 0.3% non-squamous NSCLC) case with clone EPMGHR2. Elevated RNA-levels were seen in 19/369 (5.1%) cases (Affymetrix and RNA-sequencing combined). The overlap of positive results between the assays was poor. Only one of the FISH-positive cases was positive with all antibodies and demonstrated high RNA-expression. This rearrangement was confirmed in the NanoString-assay and also in the RNA-sequencing data. Other cases with high protein/RNA-expression or ambiguous FISH were negative in the NanoString-assay. Conclusions The occurrence of ROS1 fusions is low in our cohorts. The IHC assays detected the fusions, but the accuracy varied depending on the clone. The presumably false-positive and uncertain FISH results questions this method for detection of ROS1-rearrangements. Thus, when IHC is used for screening, transcript-based assays are preferable for validation in clinical diagnostics.
Collapse
Affiliation(s)
- Viktoria Thurfjell
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Patrick Micke
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Hui Yu
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Rosemarie Krupar
- Division of Pathology, Research Center Borstel, Leibniz Lung Center, Borstel, Germany;,Institute of Pathology, University Hospital Schleswig-Holstein, Campus Lübeck, Lübeck, Germany
| | - Maria A. Svensson
- Clinical Research Center, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
| | - Hans Brunnström
- Division of Pathology, Lund University and Laboratory Medicine Region Skåne, Lund, Sweden
| | - Kristina Lamberg
- Department of Pulmonary and Allergic Diseases, Uppsala University Hospital, Uppsala, Sweden
| | - Lotte N. J. Moens
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden;,Clinical Genomics Uppsala, Science for Life Laboratory, Uppsala, Sweden
| | - Carina Strell
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Miklos Gulyas
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Gisela Helenius
- Department of Laboratory Medicine, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
| | - Akihiko Yoshida
- Department of Diagnostic Pathology, National Cancer Center Hospital, Tokyo, Japan
| | - Torsten Goldmann
- Division of Pathology, Research Center Borstel, Leibniz Lung Center, Borstel, Germany;,Airway Research Center North (ARCN), Member of the German Center for Lung Research (DZL), Großhansdorf, Germany
| | | |
Collapse
|
2
|
Moens LNJ, Falk-Sörqvist E, Ljungström V, Mattsson J, Sundström M, La Fleur L, Mathot L, Micke P, Nilsson M, Botling J. HaloPlex Targeted Resequencing for Mutation Detection in Clinical Formalin-Fixed, Paraffin-Embedded Tumor Samples. J Mol Diagn 2015; 17:729-39. [PMID: 26354930 DOI: 10.1016/j.jmoldx.2015.06.009] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2015] [Revised: 05/29/2015] [Accepted: 06/17/2015] [Indexed: 12/13/2022] Open
Abstract
In recent years, the advent of massively parallel next-generation sequencing technologies has enabled substantial advances in the study of human diseases. Combined with targeted DNA enrichment methods, high sequence coverage can be obtained for different genes simultaneously at a reduced cost per sample, creating unique opportunities for clinical cancer diagnostics. However, the formalin-fixed, paraffin-embedded (FFPE) process of tissue samples, routinely used in pathology departments, results in DNA fragmentation and nucleotide modifications that introduce a number of technical challenges for downstream biomolecular analyses. We evaluated the HaloPlex target enrichment system for somatic mutation detection in 80 tissue fractions derived from 20 clinical cancer cases with paired tumor and normal tissue available in both FFPE and fresh-frozen format. Several modifications to the standard method were introduced, including a reduced target fragment length and two strand capturing. We found that FFPE material can be used for HaloPlex-based target enrichment and next-generation sequencing, even when starting from small amounts of DNA. By specifically capturing both strands for each target fragment, we were able to reduce the number of false-positive errors caused by FFPE-induced artifacts and lower the detection limit for somatic mutations. We believe that the HaloPlex method presented here will be broadly applicable as a tool for somatic mutation detection in clinical cancer settings.
Collapse
Affiliation(s)
- Lotte N J Moens
- Department of Immunology Genetics and Pathology, Uppsala University, Science for Life Laboratory, Uppsala, Sweden
| | - Elin Falk-Sörqvist
- Department of Immunology Genetics and Pathology, Uppsala University, Science for Life Laboratory, Uppsala, Sweden
| | - Viktor Ljungström
- Department of Immunology Genetics and Pathology, Uppsala University, Science for Life Laboratory, Uppsala, Sweden
| | - Johanna Mattsson
- Department of Immunology Genetics and Pathology, Uppsala University, Science for Life Laboratory, Uppsala, Sweden
| | - Magnus Sundström
- Department of Immunology Genetics and Pathology, Uppsala University, Science for Life Laboratory, Uppsala, Sweden
| | - Linnéa La Fleur
- Department of Immunology Genetics and Pathology, Uppsala University, Science for Life Laboratory, Uppsala, Sweden
| | - Lucy Mathot
- Department of Immunology Genetics and Pathology, Uppsala University, Science for Life Laboratory, Uppsala, Sweden
| | - Patrick Micke
- Department of Immunology Genetics and Pathology, Uppsala University, Science for Life Laboratory, Uppsala, Sweden
| | - Mats Nilsson
- Department of Immunology Genetics and Pathology, Uppsala University, Science for Life Laboratory, Uppsala, Sweden; Department of Biochemistry and Biophysics, Stockholm University, Science for Life Laboratory, Stockholm, Sweden.
| | - Johan Botling
- Department of Immunology Genetics and Pathology, Uppsala University, Science for Life Laboratory, Uppsala, Sweden.
| |
Collapse
|