Liquid biopsy-based circulating tumour (ct)DNA analysis of a spectrum of myeloid and lymphoid malignancies yields clinically actionable results.

AIMS: Liquid biopsy (LBx)-based next-generation sequencing (NGS) of circulating tumour DNA (ctDNA) can facilitate molecular profiling of haematopoietic neoplasms (HNs), particularly when tissue-based NGS is infeasible. METHODS AND RESULTS: We studied HN LBx samples tested with FoundationOne Liquid CDx, FoundationOne Liquid, or FoundationACT between July 2016 and March 2022. We identified 271 samples: 89 non-Hodgkin lymphoma (NHL), 43 plasma-cell neoplasm (PCN), 41 histiocytoses, 27 myelodysplastic syndrome (MDS), 25 diffuse large B-cell lymphoma (DLBCL), 22 myeloproliferative neoplasm (MPN), 14 Hodgkin lymphoma (HL), and 10 acute myeloid leukaemia (AML). Among 73.4% with detectable pathogenic alterations, median maximum somatic allele frequency (MSAF) was 16.6%, with AML (36.2%), MDS (19.7%), and MPN (44.5%) having higher MSAFs than DLBCL (3.9%), NHL (8.4%), HL (1.5%), PCN (2.8%), and histiocytoses (1.8%) (P = 0.001). LBx detected characteristic alterations across HNs, including in TP53, KRAS, MYD88, and BTK in NHLs; TP53, KRAS, NRAS, and BRAF in PCNs; IGH in DLBCL; TP53, ATM, and PDCD1LG2 in HL; BRAF and MAP2K1 in histiocytoses; TP53, SF3B1, DNMT3A, TET2, and ASXL1 in MDS; JAK2 in MPNs; and FLT3, IDH2, and NPM1 in AML. Among 24 samples, the positive percent agreement by LBx was 75.7% for variants present in paired buffy coat, marrow, or tissues. Also, 75.0% of pairs exhibited alterations only present on LBx. These were predominantly subclonal (clonal fraction of 3.8%), reflecting the analytical sensitivity of LBx. CONCLUSION: These data demonstrate that LBx can detect relevant genomic alterations across HNs, including at low clonal fractions, suggesting a potential clinical utility for identifying residual or emerging therapy-resistant clones that may be undetectable in site-specific tissue biopsies.

Compromised Outcomes in Stage IV Non-Small-Cell Lung Cancer With Actionable Mutations Initially Treated Without Tyrosine Kinase Inhibitors: A Retrospective Analysis of Real-World Data.

PURPOSE: Identification and targeting of actionable oncogenic drivers (AODs) in advanced non-small-cell lung cancer (NSCLC) has dramatically improved outcomes. However, genomic testing uptake is variable and hampered by factors including slow turnaround time, frequently resulting in initial non-tyrosine kinase inhibitor (TKI) treatment. We investigate how this behavior affects outcomes. METHODS: This retrospective analysis of real-world, deidentified data from the Integra Connect Database included adults with stage IV NSCLC newly diagnosed from January 1, 2018, to December 31, 2020, with mutations of EGFR, ALK, ROS1, BRAF, MET, RET, ERBB2, or NTRK. Outcomes were reported as time to next treatment or death (TTNT) and overall survival (OS). RESULTS: Five hundred ten patients harboring AODs were identified and grouped as follows: group A (n = 379) were treated after the AOD was reported and served as the comparator. One hundred thirty-one patients treated before their AOD report were divided into group B (n = 47) who were initially started on chemotherapy and/or checkpoint inhibitor but switched to appropriate TKI within 35 days and group C (n = 84) who were also started empirically on non-TKI and did not switch within 35 days. Survival (OS) was significantly superior in group A compared with group C; TTNT was significantly superior in group A compared with groups B and C. CONCLUSION: For patients harboring AODs in advanced NSCLC, initial treatment before receipt of genomic test results yields significantly inferior outcomes and should be avoided. Molecular profiling panels with rapid turnaround times are essential to optimize patient outcomes and should be standard of care.

Primary Resistance to Larotrectinib in a Patient With Squamous NSCLC With Subclonal NTRK1 Fusion: Case Report.

The NTRK genes encode the TRK proteins. NTRK fusions lead to constitutively active, ligand-independent downstream signaling. NTRK fusions are implicated in up to 1% of all solid tumors and 0.2% of NSCLC. Larotrectinib, a highly selective small molecule inhibitor of all three TRK proteins, has a response rate of 75% across a wide range of solid tumors. Mechanisms of primary resistance to larotrectinib are not well understood. We report a case of a 75-year-old male with minimal smoking history with NTRK fusion-positive metastatic squamous NSCLC with primary resistance to larotrectinib. We suggest subclonal NTRK fusion as a possible mechanism contributing to primary resistance to larotrectinib.

Slide-to-Slide Tissue Transfer and Array Assembly From Limited Samples for Comprehensive Molecular Profiling.

Tissue microarrays (TMA) have become an important tool in high-throughput molecular profiling of tissue samples in the translational research setting. Unfortunately, high-throughput profiling in small biopsy specimens or rare tumor samples (eg, orphan diseases or unusual tumors) is often precluded owing to limited amounts of tissue. To overcome these challenges, we devised a method that allows tissue transfer and construction of TMAs from individual 2- to 5-µm sections for subsequent molecular profiling. We named the technique slide-to-slide (STS) transfer, and it requires a series of chemical exposures (so-called xylene-methacrylate exchange) in combination with rehydrated lifting, microdissection of donor tissues into multiple small tissue fragments (methacrylate-tissue tiles), and subsequent remounting on separate recipient slides (STS array slide). We developed the STS technique by assessing the efficacy and analytical performance using the following key metrics: (a) dropout rate, (b) transfer efficacy, (c) success rates using different antigen-retrieval methods, (d) success rates of immunohistochemical stains, (e) fluorescent in situ hybridization success rates, and (f) DNA and (g) RNA extraction yields from single slides, which all functioned appropriately. The dropout rate ranged from 0.7% to 6.2%; however, we applied the same STS technique successfully to fill these dropouts ("rescue" transfer). Hematoxylin and eosin assessment of donor slides confirmed a transfer efficacy of >93%, depending on the size of the tissue (range, 76%-100%). Fluorescent in situ hybridization success rates and nucleic acid yields were comparable with those of traditional workflows. In this study, we present a quick, reliable, and cost-effective method that offers the key advantages of TMAs and other molecular techniques-even when tissue is sparse. The perspectives of this technology in biomedical sciences and clinical practice are promising, given that it allows laboratories to create more data with less tissue.

Diagnostic quality model (DQM): an integrated framework for the assessment of diagnostic quality when using AI/ML.

BACKGROUND: Laboratory medicine has reached the era where promises of artificial intelligence and machine learning (AI/ML) seem palpable. Currently, the primary responsibility for risk-benefit assessment in clinical practice resides with the medical director. Unfortunately, there is no tool or concept that enables diagnostic quality assessment for the various potential AI/ML applications. Specifically, we noted that an operational definition of laboratory diagnostic quality - for the specific purpose of assessing AI/ML improvements - is currently missing. METHODS: A session at the 3rd Strategic Conference of the European Federation of Laboratory Medicine in 2022 on "AI in the Laboratory of the Future" prompted an expert roundtable discussion. Here we present a conceptual diagnostic quality framework for the specific purpose of assessing AI/ML implementations. RESULTS: The presented framework is termed diagnostic quality model (DQM) and distinguishes AI/ML improvements at the test, procedure, laboratory, or healthcare ecosystem level. The operational definition illustrates the nested relationship among these levels. The model can help to define relevant objectives for implementation and how levels come together to form coherent diagnostics. The affected levels are referred to as scope and we provide a rubric to quantify AI/ML improvements while complying with existing, mandated regulatory standards. We present 4 relevant clinical scenarios including multi-modal diagnostics and compare the model to existing quality management systems. CONCLUSIONS: A diagnostic quality model is essential to navigate the complexities of clinical AI/ML implementations. The presented diagnostic quality framework can help to specify and communicate the key implications of AI/ML solutions in laboratory diagnostics.

Clinical Implications and Treatment Strategies for ESR1 Fusions in Hormone Receptor-Positive Metastatic Breast Cancer: A Case Series.

In hormone receptor-positive metastatic breast cancer (HR+ MBC), endocrine resistance is commonly due to genetic alterations of ESR1, the gene encoding estrogen receptor alpha (ERα). While ESR1 point mutations (ESR1-MUT) cause acquired resistance to aromatase inhibition (AI) through constitutive activation, far less is known about the molecular functions and clinical consequences of ESR1 fusions (ESR1-FUS). This case series discusses 4 patients with HR+ MBC with ESR1-FUS in the context of the existing ESR1-FUS literature. We consider therapeutic strategies and raise the hypothesis that CDK4/6 inhibition (CDK4/6i) may be effective against ESR1-FUS with functional ligand-binding domain swaps. These cases highlight the importance of screening for ESR1-FUS in patients with HR+ MBC while continuing investigation of precision treatments for these genomic rearrangements.

Clinicopathologic Evaluation and Molecular Profiling of Recurrent Stage IA Endometrial Endometrioid Carcinoma: A Case-control Study.

Most low-grade, early-stage endometrial endometrioid carcinomas (EEC) have an excellent prognosis; however, recurrences occur in a small subset with several studies reporting an increase in CTNNB1 exon 3 mutations in this population. Herein we evaluated 10 recurrent low-grade (FIGO 1 or 2), early-stage (FIGO IA) EECs matched to 10 nonrecurrent EECs to further characterize their clinicopathologic features and molecular phenotype. Cases were matched to controls based on size, grade, and depth of invasion. All tumors were evaluated for specific clinicopathologic parameters followed by next-generation sequencing using a 1213 gene panel. Recurrent EECs demonstrated no significant clinicopathologic differences when compared with nonrecurrent EECs, in terms of age, body mass index, pattern of invasion, presence of endometrial atypical hyperplasia/endometrioid intraepithelial neoplasia, associated metaplastic changes, peritumoral lymphocytes, mitoses, and tumor-infiltrating lymphocytes. Both cohorts also showed a similar number of pathogenic mutations, including CTNNB1 exon 3 mutations, as well as tumor mutational burden and microsatellite profiles. Although in this particular study, the lack of correlation between CTNNB1 exon 3 mutation and recurrence might be secondary to a small sample size, it also suggests the presence of other contributing factors. Thus, it helps set the foundation for larger series incorporating whole genome, transcriptome, proteome, and epigenome analyses to answer this clinically important question.

Molecular Biomarkers of Response to Cancer Immunotherapy.

Harnessing the immune system to advance cancer therapy has offered a new weapon in the quiver of clinical oncology. The lack of uniform, robust, or durable responses in many patients has necessitated the development of approaches for the accurate prediction of subgroups that are most likely to benefit from immunotherapy. This has led to the development and regulatory approval of predictive biomarkers, as well as associated companion diagnostics. Despite these strides, there still exists great heterogeneity in the choice of biomarkers, the laboratory assays that generate them, and their overall clinical utility. This article surveys broadly the predictive biomarkers of response to cancer immunotherapy, focusing on the biomarkers with current Food and Drug Administration (FDA) approval, and raising awareness of issues that may affect their broad applicability.

Implementation and Clinical Adoption of Precision Oncology Workflows Across a Healthcare Network.

BACKGROUND: Precision oncology relies on molecular diagnostics, and the value-proposition of modern healthcare networks promises a higher standard of care across partner sites. We present the results of a clinical pilot to standardize precision oncology workflows. METHODS: Workflows are defined as the development, roll-out, and updating of disease-specific molecular order sets. We tracked the timeline, composition, and effort of consensus meetings to define the combination of molecular tests. To assess clinical impact, we examined order set adoption over a two-year period (before and after roll-out) across all gastrointestinal and hepatopancreatobiliary (GI) malignancies, and by provider location within the network. RESULTS: Development of 12 disease center-specific order sets took ~9 months, and the average number of tests per indication changed from 2.9 to 2.8 (P = .74). After roll-out, we identified significant increases in requests for GI patients (17%; P < .001), compliance with testing recommendations (9%; P < .001), and the fraction of "abnormal" results (6%; P < .001). Of 1088 GI patients, only 3 received targeted agents based on findings derived from non-recommended orders (1 before and 2 after roll-out); indicating that our practice did not negatively affect patient treatments. Preliminary analysis showed 99% compliance by providers in network sites, confirming the adoption of the order sets across the network. CONCLUSION: Our study details the effort of establishing precision oncology workflows, the adoption pattern, and the absence of harm from the reduction of non-recommended orders. Establishing a modifiable communication tool for molecular testing is an essential component to optimize patient care via precision oncology.

Molecular Characterization of Mesothelioma: Impact of Histologic Type and Site of Origin on Molecular Landscape.

PURPOSE: Mesothelioma is an aggressive malignancy with heterogeneous outcomes that are partly driven by the differential efficacy of existing therapies across histologic types and sites of origin. Large-scale molecular analysis of mesothelioma and its subtypes has the potential to inform future therapeutic strategies. MATERIALS AND METHODS: We analyzed 1,294 mesotheliomas {980 pleural (malignant pleural mesothelioma [MPM]) and 314 peritoneal (malignant peritoneal mesothelioma [MPeM])} using next-generation sequencing, determined programmed death ligand-1 (PD-L1) expression and histology in a subset of cases, and assessed MTAP/CDKN2A copy-number status by fluorescence in situ hybridization and T-cell infiltration in an independent cohort. RESULTS: The molecular landscape of MPM was characterized by inactivating alterations in CDKN2A (49%), BAP1 (44%), CDKN2B (42%), MTAP (34%), and NF2 (33%). Compared with epithelioid MPM, nonepithelioid (ie, biphasic and sarcomatoid) MPM had identical tumor mutational burden (median 1.25 mut/Mb, P = .63), more commonly expressed PD-L1 (74% v 51%, P = .02), and was more likely to harbor MTAP, CDKN2A, and CDKN2B copy loss (P < .05). Fluorescence in situ hybridization confirmed that homozygous MTAP loss was enriched in nonepithelioid MPM. Relative to MPM, MPeM had comparable tumor mutational burden and PD-L1 expression. The molecular profile of MPeM was similar to MPM, with the distinction that PBRM1 alterations occurred at higher frequency (16% v 7%, P < .01). ALK rearrangements were only observed in MPeM. CONCLUSION: Regardless of histology and location, the molecular landscape of mesothelioma primarily consists of inactivating alterations in tumor suppressor genes, with enrichment of certain alterations in distinct subsets (eg, MTAP loss in nonepithelioid tumors). Given the limited efficacy of current therapies for this disease, novel approaches targeting recurring alterations should be explored.

Diagnostic Value of MAML2 Rearrangements in Mucoepidermoid Carcinoma.

Mucoepidermoid carcinoma (MEC) is often seen in salivary glands and can harbor MAML2 translocations (MAML2+). The translocation status has diagnostic utility as an objective confirmation of the MEC diagnosis, for example, when distinction from the more aggressive adenosquamous carcinoma (ASC) is not straightforward. To assess the diagnostic relevance of MAML2, we examined our 5-year experience in prospective testing of 8106 solid tumors using RNA-seq panel testing in combinations with a two-round Delphi-based scenario survey. The prevalence of MAML2+ across all tumors was 0.28% (n = 23/8106) and the majority of MAML2+ cases were found in head and neck tumors (78.3%), where the overall prevalence was 5.9% (n = 18/307). The sensitivity of MAML2 for MEC was 60% and most cases (80%) were submitted for diagnostic confirmation; in 24% of cases, the MAML2 results changed the working diagnosis. An independent survey of 15 experts showed relative importance indexes of 0.8 and 0.65 for "confirmatory MAML2 testing" in suspected MEC and ASC, respectively. Real-world evidence confirmed that the added value of MAML2 is a composite of an imperfect confirmation test for MEC and a highly specific exclusion tool for the diagnosis of ASC. Real-world evidence can help move a rare molecular-genetic biomarker from an emerging tool to the clinic.

Uterine PEComas: correlation between melanocytic marker expression and TSC alterations/TFE3 fusions.

Uterine PEComas often present a diagnostic challenge as they share morphological and immunohistochemical features with smooth muscle tumors. Herein we evaluated a series of 19 uterine PEComas to compare the degree of melanocytic marker expression with their molecular profile. Patients ranged from 32-77 (median 48) years, with six tumors classified as malignant based on the modified gynecologic-specific prognostic algorithm. All patients with malignant PEComas were alive with disease or dead  of disease at last follow-up, while all those of uncertain malignant potential were alive and well (median follow-up, 47 months).Seventeen of 19 (89%) PEComas harbored either a TSC1 or TSC2 alteration. One of the two remaining tumors showed a TFE3 rearrangement, but the other lacked alterations in all genes evaluated. All showed at least focal (usually strong) positivity for HMB-45, with 15/19 (79%) having >50% expression, while the tumor lacking TSC or TFE3 alterations was strongly positive in 10% of cells. Melan-A and MiTF were each positive in 15/19 (79%) tumors, but staining extent and intensity were much more variable than HMB-45. Five of six (83%) malignant PEComas also harbored alterations in TP53, ATRX, or RB1, findings not identified in any tumors of uncertain malignant potential. One malignant PEComa was microsatellite-unstable/mismatch repair protein-deficient.In summary, TSC alterations/TFE3 fusions and diffuse (>50%) HMB-45 expression are characteristic of uterine PEComas. In morphologically ambiguous mesenchymal neoplasms with myomelanocytic differentiation, especially those with metastatic or recurrent disease, next-generation sequencing is recommended to evaluate for TSC alterations; as such, patients can be eligible for targeted therapy.

Molecular Pathology of Ovarian Epithelial Neoplasms: Predictive, Prognostic, and Emerging Biomarkers.

This review focuses on the diagnostic, prognostic, and predictive molecular biomarkers in ovarian epithelial neoplasms in the context of their morphologic classifications. Currently, most clinically actionable molecular findings are reported in high-grade serous carcinomas; however, the data on less common tumor types are rapidly accelerating. Overall, the advances in genomic knowledge over the last decade highlight the significance of integrating molecular findings with morphology in ovarian epithelial tumors for a wide-range of clinical applications, from assistance in diagnosis to predicting response to therapy.

Mosaicism for Receptor Tyrosine Kinase Activation in a Glioblastoma Involving Both PDGFRA Amplification and NTRK2 Fusion.

Rearrangements involving the neurotrophic receptor tyrosine kinase (NTRK) gene family have been reported in diverse tumor types, and NTRK-targeted therapies have recently been approved. In this article, we report a case of a 26-year-old man with an NTRK2-rearranged isocitrate dehydrogenase-wild-type glioblastoma who showed a robust but temporary response to the NTRK inhibitor larotrectinib. Rebiopsy after disease progression showed elimination of the NTRK2-rearranged tumor cell clones, with secondary emergence of a PDGFRA-amplified subclone. Retrospective examination of the initial biopsy material confirmed rare cells harboring PDGFRA amplification. Although mosaic amplification of multiple receptor tyrosine kinase genes in glioblastoma has been previously described, mosaicism involving a fusion gene driver event has not. This case highlights the potential efficacy of NTRK-targeted treatment in glioblastoma and the implications of molecular heterogeneity in the setting of targeted therapy. KEY POINTS: This case highlights the efficacy of the NTRK inhibitor larotrectinib in treating NTRK-rearranged glioblastoma. This is the first case to demonstrate mosaicism in glioblastoma involving both a fusion gene and amplification for receptor tyrosine kinases. Intratumoral heterogeneity in glioblastoma has significant implications for tumor resistance to targeted therapies.

Development of a qualitative real-time RT-PCR assay for the detection of SARS-CoV-2: a guide and case study in setting up an emergency-use, laboratory-developed molecular microbiological assay.

Developing and deploying new diagnostic tests are difficult, but the need to do so in response to a rapidly emerging pandemic such as COVID-19 is crucially important. During a pandemic, laboratories play a key role in helping healthcare providers and public health authorities detect active infection, a task most commonly achieved using nucleic acid-based assays. While the landscape of diagnostics is rapidly evolving, PCR remains the gold-standard of nucleic acid-based diagnostic assays, in part due to its reliability, flexibility and wide deployment. To address a critical local shortage of testing capacity persisting during the COVID-19 outbreak, our hospital set up a molecular-based laboratory developed test (LDT) to accurately and safely diagnose SARS-CoV-2. We describe here the process of developing an emergency-use LDT, in the hope that our experience will be useful to other laboratories in future outbreaks and will help to lower barriers to establishing fast and accurate diagnostic testing in crisis conditions.