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Molecular algorithms may estimate the risk of recurrence and death for patients with endometrial cancer (EC) and may impact treatment decisions. To detect microsatellite instabilities (MSI) and p53 mutations, immunohistochemistry (IHC) and molecular techniques are used. To select the most appropriate method, and to have an accurate interpretation of their results, knowledge of the performance characteristics of these respective methods is essential. The objective of this study was to assess the diagnostic performance of IHC versus molecular techniques (gold standard). One hundred and thirty-two unselected EC patients were enrolled in this study. Agreement between the two diagnostic methods was assessed using Cohen's kappa coefficient. Sensitivity, specificity, positive (PPV) and negative predictive values (NPV) of the IHC were calculated. For MSI status, the sensitivity, specificity, PPV and NPV were 89.3%, 87.3%, 78.1% and 94.1%, respectively. Cohen's kappa coefficient was 0.74. For p53 status, the sensitivity, specificity, PPV, and NPV were 92.3%, 77.1%, 60.0% and 96.4%, respectively. Cohen's kappa coefficient was 0.59. For MSI status, IHC presented a substantial agreement with the polymerase chain reaction (PCR) approach. For the p53 status, the moderate agreement observed between IHC and next generation sequencing (NGS) methods implies that they cannot be used interchangeably.

Accurate testing for epidermal growth factor receptor ( EGFR ) variants is essential for informing treatment decisions in non-small cell lung cancer (NSCLC). Automated diagnostic workflows may allow more streamlined initiation of targeted treatments, where appropriate, while comprehensive variant analysis is ongoing. FACILITATE, a real-world, prospective, multicenter, European study, evaluated performance and analytical turnaround time of the Idylla™ EGFR Mutation Test compared with local reference methods. Sixteen sites obtained formalin-fixed paraffin-embedded biopsy samples with ≥ 10% neoplastic cells from patients with NSCLC. Consecutive 5 μm sections from patient samples were tested for clinically relevant NSCLC-associated EGFR variants using the Idylla™ EGFR Mutation Test and local reference methods; performance (concordance) and analytical turnaround time were compared. Between January 2019 and November 2020, 1,474 parallel analyses were conducted. Overall percentage agreement was 97.7% [ n = 1,418; 95% confidence interval (CI): 96.8-98.3], positive agreement, 87.4% ( n = 182; 95% CI: 81.8-91.4) and negative agreement, 99.2% ( n = 1,236; 95% CI: 98.5-99.6). There were 38 (2.6%) discordant cases. Ninety percent of results were returned with an analytical turnaround time of within 1 week using the Idylla™ EGFR Mutation Test versus ∼22 days using reference methods. The Idylla™ EGFR Mutation Test performed well versus local methods and had shorter analytical turnaround time. The Idylla™ EGFR Mutation Test can thus support application of personalized medicine in NSCLC., Competing Interests: IB declares receipt of honoraria from Novartis, Bayer, Pfizer, Takeda, AstraZeneca and BMS. EW declares the receipt of honoraria from AstraZeneca and MSD. MH declares membership in advisory councils or committees for AstraZeneca, Roche, Novartis, Pierre Fabre GDM, Sanofi, MSD and BMS; and receipt of grants or funds from AstraZeneca. Author EW was employed by the company CYPATH. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The authors declare that this study received funding from AstraZeneca, Cambridge, UK and Biocartis, Mechelen, Belgium. Biocartis were involved in study design, and analysis and interpretation of data. AstraZeneca were not involved in study design or analysis and interpretation of data. The funders were not involved in collection of data. The funders reviewed the manuscript before submission., (Copyright © 2023 Behnke, Cayre, De Maglio, Giannini, Habran, Tarsitano, Chetta, Cappellen, Lespagnol, Le Naoures, Massazza, Destro, Bonzheim, Rau, Battmann, Kah, Watkin and Hummel.)

Introduction: The neurotrophic tropomyosin-related kinase (NTRK) genes encode the tropomyosin receptor kinases (TRKs). Patients with solid tumors harboring an oncogenic NTRK fusion are eligible for treatment with TRK inhibitors. NTRK fusion is often associated with TRK overexpression. Pan-TRK immunohistochemistry (IHC) is used to screen for NTRK fusions, but immunoreactivity patterns are poorly defined., Methods: Data on pan-TRK immunoreactivity patterns in 2,669 solid tumors (comprising carcinomas, sarcomas, and melanocytic lesions) were retrospectively collected by nine laboratories and comprised tumor type, percentage of pan-TRK-positive tumor cells, staining intensity, cytoplasmic, membrane and/or nuclear staining pattern, and the presence or absence of NTRK fusion., Results: Overall, 2,457 tumors (92%) were pan-TRK negative and 212 neoplasms (8%) were pan-TRK positive. Twenty-two pan-TRK-positive tumors (0.8%) harbored an NTRK fusion, representing 10% of all pan-TRK-positive tumors. Cytoplasmic immunoreactivity was most often observed, followed by membrane immunoreactivity. Nuclear pan-TRK positivity was least frequent, but was most often (33%) associated with NTRK fusion., Conclusion: Pan-TRK IHC can be used to screen for NTRK fusions, especially in commonly diagnosed solid tumors with low NTRK fusion prevalence. In case of pan-TRK immunoreactivity, regardless of its intensity and tumor cell percentage, subsequent molecular tests should be performed to formally confirm the presence or absence of NTRK fusions., (© 2022 The Author(s). Published by S. Karger AG, Basel.)