Discerning the Primary Carcinoma in Malignant Peritoneal and Pleural Effusions Using Imaging Mass Spectrometry-A Feasibility Study

PURPOSE

Malignant effusions challenge diagnostic accuracy due to cytomorphologic overlaps between various malignant primaries. Workup of this material to establish a correct diagnosis is time consuming and limited by the sparsity of material. In order to circumvent these drawbacks, the use of MALDI imaging MS (IMS) as a diagnostic platform has been explored.

EXPERIMENTAL DESIGN

Cytology cell blocks from malignant effusions (serous ovarian carcinoma and several non-ovarian carcinomas including gastric adenocarcinoma) containing at least 30% neoplastic cells are selected for generation of cytology microarrays (CMA). CMA sections are transferred to conductive glass slides, subjected to on-tissue tryptic digestion, and matrix application for MALDI-IMS analysis.

RESULTS

Supervised classification analysis identifies serous ovarian carcinomas as the source of malignant effusions with a sensitivity of 85.7% when compared to samples from all other included primary sites. When compared to gastric adenocarcinoma, serous ovarian carcinoma samples can be delineated with a sensitivity of 97.3%.

CONCLUSION AND CLINICAL RELEVANCE

These preliminary results highlight that MALDI-IMS allows subtyping of malignant effusions to identify the precise origin of neoplastic cells. While achieving similar results compared to classical approaches such as immunocytology, more material is conserved that will be available for further tests.

Comprehensive Genomic Profiling of Malignant Effusions in Patients with Metastatic Lung Adenocarcinoma

Cytology samples are increasingly used for comprehensive molecular testing. Although fine-needle aspirates are adequate substrates for high-throughput sequencing, the suitability of malignant body fluids remains largely unexplored. We investigated the adequacy and utility of performing targeted next-generation sequencing (NGS) on malignant effusions from patients with metastatic lung adenocarcinoma. Thirty-two effusion samples submitted for hybrid capture-based NGS using a clinically validated solid tumor genotyping panel were examined. All cases showed ≥5% tumor cellularity; however, 28 (88%) provided sufficient DNA for NGS (≥1 ng/μL). The sequencing reads showed satisfactory quality control statistics, and the variant allele frequencies were correlated with tumor cellularity. Furthermore, pathogenic or likely pathogenic genomic alterations were identified in 26 of 28 samples (93%), whereas clinically actionable alterations were present in 18 (64%). Notably, nine patients had additional molecular testing performed on preceding or subsequent biopsy specimens, and the results across multiple samples were compared. In two patients, the NGS-based fluid analysis identified clinically actionable alterations that were not detected by other hotspot testing. In four patients treated with tyrosine kinase inhibitors, malignant fluid sequencing confirmed driver alterations from prior testing and revealed new resistance mechanisms. Hence, given adequate DNA input and tumor cellularity, comprehensive genomic profiling of malignant effusions may be used to establish mutational status at diagnosis and inform treatment resistance during targeted therapy.

Lung Cancer Biomarkers: Present Status and Future Developments

The publication of the “Molecular Testing Guideline for Selection of Lung Cancer Patients for EGFR and ALK Tyrosine Kinase Inhibitors: Guideline From the College of American Pathologists, International Association for the Study of Lung Cancer, and Association for Molecular Pathology” has now provided a guideline for biomarker testing for first-generation lung cancer tyrosine kinase inhibitors. Biomarker testing has forever altered the role of pathologists in the management of patients with lung cancer. Current, unresolved issues in the precision medicine of lung cancer will be addressed by the development of new biomarker tests, new drugs, and new test technologies and by improvement in the cost to benefit ratio of biomarker testing.