Next-generation Sequencing Assay Research Articles

Abstract PS07-09: Prenatal BRCA1 epimutations is a major cause of triple-negative breast cancer

Abstract Background: Low level normal cell BRCA1 epimutations have been associated with an increased risk of triple-negative breast cancer (TNBC). However, the fraction of TNBCs that may have BRCA1 epimutations as their underlying cause is unknown. Neither are the time of occurrence and the potential inheritance pattern of BRCA1 epimutations established. Methods: To address these questions, we analyzed BRCA1 methylation status in breast cancer tissue and matched white blood cells (WBC) from 411 patients with primary breast cancer, including 66 TNBCs. Samples were analyzed by a highly sensitive next-generation sequencing (NGS) assay on an Illumina MiSeq sequencer, allowing allele-resolved methylation assessment. Further, to assess the time of origin and the characteristics of normal cell BRCA1 methylation, we analyzed umbilical cord samples from 1260 newborn girls and 200 newborn boys.To assess potential Mendelian heritage, we analyzed BRCA1 methylation status in WBCs from 575 mothers and 531 fathers of newborn girls with (n = 102) and without (n = 473) WBC BRCA1 methylation. Results: We found concordant tumor and mosaic WBC BRCA1 epimutations in 10 out of 66 patients with TNBC and in four out of six patients with estrogen receptor (ER)-low expression (< 10%) of tumors (combined 14 out of 72; 19.4%, CI: 11.1-30.5). These exceeded the number of tumors harboring germline (n = 5) or somatic (n = 4) BRCA1 mutations. Notably, BRCA1 methylation and BRCA1 mutations were mutually exclusive. Contrasting the findings in TNBC and ER-low exprssion tumors, we found WBC and tumor BRCA1 methylation concordance in only three out of 221 patients with ER >10+% tumors and zero out of 116 patients with HER2 positive tumors. Intraindividually, BRCA1 epimutations affected the same allele in normal and tumor cells. Assessing BRCA1 methylation in umbilical cord WBCs from newborn girls, we found mosaic, predominantly monoallelic BRCA1 epimutations, with qualitative features similar to those in adults, in 113/1260 (9.0%) of individuals. We found no correlation between WBC BRCA1 methylation in newborns and methylation status in their mothers, fathers, or any parent. Notably, WBC BRCA1 methylation occurred at a significantly lower frequency in newborn boys ( 9/200; 4.5%) as compared to newborn girls (p = 0.038). Similarly, WBC BRCA1 methylation was found less common among fathers (16/531; 3.0%), as compared to mothers (46/575; 8.0%; p = 0.0003). Conclusions: Our findings suggest prenatal BRCA1 epimutations might be the underlying cause of around 20% of TNBC and low-ER expressing breast cancers. Such constitutional mosaic BRCA1 methylation likely arise through gender-related mechanisms in utero, independent of Mendelian inheritance. Citation Format: Per Lonning, Hans Petter Eikesdal, Elisabet Ognedal, Bjornar Gilje, Steinar Lundgren, Egil Blix, Helge Espelid, Jürgen Geisler, Stephanie Geisler, Emiel Janssen, Synnøve Yndestad, Laura Minsaas, Beryl Leirvaag, Reidun Lillestol, Stian Knappskog, Oleksii Nikolaienko. Prenatal BRCA1 epimutations is a major cause of triple-negative breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PS07-09.

Abstract PO1-14-08: Real-world clinical genomics study of HR+/HER2- metastatic breast cancers treated by CDK4/6i plus endocrine therapies revealed a drug resistant tumor segment characterized by ER independence

Abstract Background CDK4/6 inhibitors (CDK4/6i) plus endocrine therapies (ET) are the standard-of-care for hormone receptor–positive/human epidermal receptor 2–negative metastatic breast cancer (HR+/HER2− mBC). However, drug resistance remains a major unmet need. Investigations of drug resistance mechanisms has been hampered by a dearth of tumor molecular profiling data from the post-treatment setting. To address this challenge, we have conducted a real-world clinical genomics study to better understand the molecular mechanism of CDK4/6i resistance as well as to stratify patients based on integrated multi-omics profiles. Methods We retrospectively analyzed a multi-omics dataset of 400 HR+/HER2- mBC patients who had received CDK4/6i plus ET and developed progressive disease (PD) from the de-identified Tempus database. Pre-treatment and post-progression biopsies were taken  1 year prior to starting the CDK4/6i treatment or following PD respectively. Tempus xT next-generation sequencing (DNA-seq of 648 genes) and RNA sequencing assays were performed on 427 tumor FFPE samples, including 200 pre-treatment, 227 post-progression and 26 longitudinal pairs. Results The median age of the patients was 57 (54.9-57.4) and median progression free survival (PFS) is 379 (341-433) days. Two genes were found to harbor a significant increase in genomic alteration frequencies (GAF) after adjusting for FDR at post-progression vs. pre-treatment – ESR1 (41.9% vs. 15%, p=5.4e-10), RB1 (13.2% vs. 3%, p=8.5e-05). ESR1 and RB1 also harbored high frequencies of acquired genomic alterations among 26 paired samples at 34.6% and 11.5% respectively. TP53 mutation at baseline was significantly associated with shorter PFS at baseline (p=4.23e-05, HR=2.081) and TP53 GAF significantly increased after PD (37% vs. 28.5%, p=0.039). BRCA1/2 pathogenic mutations (p=1.63e-04, HR=3.066), APOBEC mutation signature S13 (p=0.0125, HR=1.55) and CCNE1 gene expression (p=0.024, HR=1.46) were significantly associated with shorter PFS. APOBEC signature (p=0.0035) and CCNE1 expression (p=1.33e-06) also significantly increased post-progression. Among the top molecular features associated with longer PFS were markers of estrogen signaling such as PGR gene expression (p=6.76e-04, HR=0.565) and the Hallmark estrogen response signature (p=0.021, HR=0.679). Applying a multi-omics pattern recognition algorithm, we identified a molecularly distinct cluster (IC1) characterized by down-regulation of estrogen signaling. IC1 is significantly associated with shorter PFS (p=3.72e-05, HR=0.22) and increased from 4% pre-treatment to 23% post-progression (p=7.3e-08). Further, IC1 is strongly enriched in markers previously implicated in CDK4/6i resistance including CCNE1 expression, RB1 mutation and MYC/E2F activation. We then developed machine learning models to predict gene-level dependency trained on cancer cell line expression and CRISPR-KO screen data. These models predicted decreased dependency on ESR1 and CDK4 and increased dependency on CDK2 in IC1, strengthening the association between ER independence and CDK4/6i resistance. Conclusions Our real-world clinical genomics study identified a comprehensive list of biomarkers associated with resistance to CDK4/6i plus ET and estimated patient prevalence for these markers in the post-treatment setting. Integrated and machine-learning analyses identified a subset of aggressive tumors with estrogen independence characteristics that are implicated in CDK4/6i resistance and suggested new therapeutic strategies. Citation Format: Zhengyan Kan, Ji Wen, Jennifer Webster, Vinicius Bonato, Whijae Roh, Xinmeng Jasmine Mu, Paul Rejto, Jadwiga Bienkowska. Real-world clinical genomics study of HR+/HER2- metastatic breast cancers treated by CDK4/6i plus endocrine therapies revealed a drug resistant tumor segment characterized by ER independence [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-14-08.

Abstract PO1-05-07: Circulating tumor DNA dynamics in acelERA Breast Cancer: a Phase II study of giredestrant for estrogen receptor-positive, HER2-negative, previously treated advanced breast cancer

Abstract BACKGROUND Giredestrant (GIR) is a highly potent, oral, selective estrogen receptor antagonist and degrader (SERD) that exhibits robust estrogen receptor (ER) occupancy. The Phase II, randomized, open-label acelERA Breast Cancer (BC) study (NCT04576455) assessed GIR vs physician’s choice of endocrine therapy (PCET) in second- or third-line ER-positive, HER2-negative advanced BC (ER+, HER2– aBC). The study did not reach statistical significance for the primary endpoint of investigator-assessed progression-free survival (PFS); however, the benefit of GIR was of larger magnitude among patients (pts) with ESR1-mutated tumors (ESR1m; a common cause of acquired resistance to endocrine therapy [ET]). We present an exploratory biomarker analysis of circulating tumor (ct)DNA dynamics. METHODS Pts (n = 303) were randomized 1:1 to GIR or PCET (75% of pts had fulvestrant [FUL]; 25%, an aromatase inhibitor). Partial response (PR), stable disease (SD), and progressive disease (PD) were categorized by RECIST v1.1. Plasma samples taken at Cycle 1, Day 1 (C1D1; n = 229), while on treatment (tx) at C2D1 (n = 220), and at the end of therapy (EOT; n = 155) were evaluated with the FoundationOne Liquid CDx next-generation sequencing assay. Gene mutations were defined as variants with known or likely impact on protein function. Composite tumor fraction (cTF) was defined as the total estimated tumor ctDNA content in each sample, and was only evaluable for a subset of samples (137 C1D1; 136 C2D1; 99 EOT). cTF or ESR1 mutant allele frequency (MAF) changes were calculated as a percent change from C1D1. ESR1m clonality was estimated as variant tumor fraction/estimated tumor fraction. Statistical significance was evaluated using the Mann–Whitney test. RESULTS The overall mutation landscape remained relatively unchanged with GIR tx at C2D1 or EOT, except for ESR1m prevalence, which declined from 43% at C1D1 to 26% on tx and 27% at EOT. With PCET, ESR1m prevalence decreased from 34% at C1D1 to 29% on tx, but increased to 43% by EOT. There were no concordant changes for other top mutated genes in this study, including PIK3CA, TP53, or DNMT3A. cTF decreased on tx in 38/65 (59%) and 32/59 (54%) of evaluable pts with GIR and PCET, respectively; the median change from C1D1 was –23% with GIR compared with –5% with PCET or –15% with FUL. The median change in cTF levels on tx with GIR was significantly greater in pts with a PR (–88%) vs PD (+6%, p = 0.002) or SD (–19%, p = 0.004). The degree of cTF decline on tx with GIR was significantly higher in pts with baseline ESR1m (median change –58%) vs no ESR1m detected (+5%, p = 0.012). Pts with a clonal ESR1m had higher levels of cTF decline on tx vs pts with subclonal ESR1m, suggesting cTF dynamics are a function of tumor heterogeneity. ESR1 MAF decreased on tx in 93% of pts with baseline ESR1m on GIR, vs 60% with PCET and 70% with FUL. ESR1 MAF decline on tx was significantly higher with GIR vs PCET at both C2D1 and EOT (p < 0.0001). The average ESR1 MAF decline on tx with GIR was greater in pts with a PR (–97%) vs PD (–54%, p = 0.025) or SD (–48%, p = 0.051), and all seven GIR-treated pts with a PR showed a near or total loss of ESR1 MAF by C2D1. The ESR1m variants D538G and Y537X had a significantly greater decline in MAF on tx with GIR vs PCET or FUL (p < 0.0001). CONCLUSIONS Data show that cTF and ESR1m ctDNA dynamics were associated with clinical response to GIR in ER+, HER2– aBC. ESR1 MAF decline was significantly greater with GIR vs PCET or FUL. ESR1 MAF declined to a greater degree with GIR compared with cTF, which is consistent with the larger magnitude of PFS benefit seen with GIR in pts with ESR1m tumors. The specific ESR1 variants D538G and Y537X showed greater sensitivity to GIR compared with PCET or FUL. Citation Format: Ann Collier, Aditya Bardia, Joo Hyuk Sohn, Elgene Lim, Marianna Chavez, Miguel Martín, Jorge Martinalbo, Pablo Perez-Moreno, Heather Moore. Circulating tumor DNA dynamics in acelERA Breast Cancer: a Phase II study of giredestrant for estrogen receptor-positive, HER2-negative, previously treated advanced breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-05-07.

Abstract GS03-10: Allosteric PI3K-alpha inhibition overcomes on-target resistance to orthosteric inhibitors mediated by secondary PIK3CA mutations

Abstract Background: PIK3CA mutations occur in ~40% of HR-positive breast cancers, where alpelisib, an orthosteric PI3Kα inhibitor, is FDA-approved in combination with fulvestrant. Although prior studies have identified potential resistance mechanisms, such as PTEN loss, clinical acquired resistance to orthosteric PI3Kα inhibitors and the role of next-generation allosteric PI3Kα inhibitors remain poorly understood. Methods: To identify on-target and off-target alterations potentially mediating resistance to PI3Kα inhibitors, we used a targeted next-generation sequencing assay (Guardant360; Guardant Health) to analyze ctDNA in serially collected plasma samples from 32 patients with PIK3CA-mutated advanced HR-positive, HER2-negative breast cancer treated with alpelisib and inavolisib. In addition, we performed whole exome sequencing (WES) of 100 tissue samples collected from 8 autopsy series from patients with metastatic, PIK3CA-mutant HR-positive, HER2-negative breast cancer previously treated with PI3Kα inhibitors. Acquired alterations were prioritized through a combination of structural modeling and free-energy perturbation simulation and validated in genomically engineered PIK3CA mutant breast cancer cell lines T47D (PIK3CA H1047R-mutant) or MCF7 (PIK3CA E545K-mutant). Results: We observed that 50% of patients acquire genomic alterations within the PI3K-pathway, including PTEN loss and activating AKT1 mutations. Notably, while secondary PIK3CA mutations were previously reported to increase sensitivity to PI3Ka-inhibitors, we identified emergent secondary resistance mutations in PIK3CA that alter the inhibitor binding pocket including PIK3CA Q859K and PIK3CA W780R. Some mutations had differential effects on PI3Ka-selective vs. pan-PI3K inhibitors, but resistance induced by all mutations could be overcome by the novel allosteric pan-mutant-selective PI3Ka-inhibitor RLY-2608. Conclusion: In one of the largest patient cohorts analyzed to date, this study defines the clinical landscape of acquired resistance to PI3Ka inhibitors. Genomic alterations within the PI3K pathway represent a major mode of resistance and identify a novel class of secondary PIK3CA resistance mutations that can be overcome by an allosteric PI3Ka inhibitor. Together, these findings provide insights to guide strategies to overcome resistance in PIK3CA-mutated cancers. Citation Format: Andreas Varkaris, Ferran Fece de la Cruz, Elizabeth Martin, Bryanna Nordern, Nicholas Chevalier, Ignaty Leshchiner, Anastasia Stavridi, Janice Kim, Alkistis Papatheodoridi, Hakan Gunaydin, Brian Danysh, Laxmi Parida, Ioannis Sanidas, Yongli Ji, Kayao Lau, Gerburg Wulf, Aditya Bardia, Laura Spring, Steven Isakoff, Jochen Lennerz, Levi Pierce, Ermira Pazolli, Gad Getz, Ryan Corcoran, Dejan Juric. Allosteric PI3K-alpha inhibition overcomes on-target resistance to orthosteric inhibitors mediated by secondary PIK3CA mutations [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr GS03-10.

Genomic profiling of pleomorphic rhabdomyosarcoma reveals a genomic signature distinct from that of embryonal rhabdomyosarcoma.

Pleomorphic rhabdomyosarcoma (PRMS) is a rare and highly aggressive sarcoma, occurring mostly in the deep soft tissues of middle-aged adults and showing a variable degree of skeletal muscle differentiation. The diagnosis is challenging as pathologic features overlap with embryonal rhabdomyosarcoma (ERMS), malignant Triton tumor, and other pleomorphic sarcomas. As recurrent genetic alterations underlying PRMS have not been described to date, ancillary molecular diagnostic testing is not useful in subclassification. Herein, we perform genomic profiling of a well-characterized cohort of 14 PRMS, compared to a control group of 23 ERMS and other pleomorphic sarcomas (undifferentiated pleomorphic sarcoma and pleomorphic liposarcoma) using clinically validated DNA-targeted Next generation sequencing (NGS) panels (MSK-IMPACT). The PRMS cohort included eight males and six females, with a median age of 53 years (range 31-76 years). Despite similar tumor mutation burdens, the genomic landscape of PRMS, with a high frequency of TP53 (79%) and RB1 (43%) alterations, stood in stark contrast to ERMS, with 4% and 0%, respectively. CDKN2A deletions were more common in PRMS (43%), compared to ERMS (13%). In contrast, ERMS harbored somatic driver mutations in the RAS pathway and loss of function mutations in BCOR, which were absent in PRMS. Copy number variations in PRMS showed multiple chromosomal arm-level changes, most commonly gains of chr17p and chr22q and loss of chr6q. Notably, gain of chr8, commonly seen in ERMS (61%) was conspicuously absent in PRMS. The genomic profiles of other pleomorphic sarcomas were overall analogous to PRMS, showing shared alterations in TP53, RB1, and CDKN2A. Overall survival and progression-free survival of PRMS were significantly worse (p < 0.0005) than that of ERMS. Our findings revealed that the molecular landscape of PRMS aligns with other adult pleomorphic sarcomas and is distinct from that of ERMS. Thus, NGS assays may be applied in select challenging cases toward a refined classification. Finally, our data corroborate the inclusion of PRMS in the therapeutic bracket of pleomorphic sarcomas, given that their clinical outcomes are comparable.

Acute promyelocytic leukemia with torque teno mini virus (TTMV)::RARA fusion: an approach to screening and diagnosis

Acute promyelocytic leukemia (APL) with variant RARA translocation is linked to over 15 partner genes. Recent publications encompassing six cases have expanded the spectrum of RARA partners to torque teno mini virus (TTMV). This entity is likely under-recognized due to lack of clinician and pathologist familiarity, inability to detect the fusion using routine testing modalities, and informatic challenges in its recognition within next-generation sequencing (NGS) data. We describe a clinicopathologic approach and provide necessary tools to screen and diagnose APL with TTMV::RARA using existing clinical DNA or RNA-based NGS assays, which led to identification of four cases, all without other known cytogenetic/molecular drivers. One was identified prospectively and three retrospectively, including two from custom automated screening of multiple data sets (50 257 cases of hematopoietic malignancy, including 4809 acute myeloid leukemia (AML)/myeloid sarcoma/APL cases). Two cases presented as myeloid sarcoma, including one with multiple relapses after AML-type chemotherapy and hematopoietic stem cell transplant (HSCT). Two cases presented as leukemia, had a poor response to induction chemotherapy, but achieved remission upon re-induction (including all-trans retinoic acid (ATRA) in one case) and subsequent HSCT. Neoplastic cells demonstrated features of APL including frequent azurophilic granules and dim/absent CD34 and HLA-DR expression. RARA rearrangement was not detected by karyotype or FISH. Custom analysis of NGS fusion panel data identified TTMV::RARA rearrangements, and in the prospectively identified case, facilitated monitoring in sequential bone marrow samples. APL with TTMV::RARA is a rare leukemia with a high rate of treatment failure in described cases. The diagnosis should be considered in leukemias with features of APL that lack detectable RARA fusions and other drivers, and may be confirmed by appropriate NGS tests with custom informatics. Incorporation of ATRA may have a role in treatment but requires accurate recognition of the fusion for appropriate classification as APL.

A Brief Overview of the Molecular Landscape of Myelodysplastic Neoplasms

Myelodysplastic neoplasm (MDS) is a heterogeneous group of clonal hematological disorders that originate from the hematopoietic and progenitor cells and present with cytopenias and morphologic dysplasia with a propensity to progress to bone marrow failure or acute myeloid leukemia (AML). Genetic evolution plays a critical role in the pathogenesis, progression, and clinical outcomes of MDS. This process involves the acquisition of genetic mutations in stem cells that confer a selective growth advantage, leading to clonal expansion and the eventual development of MDS. With the advent of next-generation sequencing (NGS) assays, an increasing number of molecular aberrations have been discovered in recent years. The knowledge of molecular events in MDS has led to an improved understanding of the disease process, including the evolution of the disease and prognosis, and has paved the way for targeted therapy. The 2022 World Health Organization (WHO) Classification and the International Consensus Classification (ICC) have incorporated the molecular signature into the classification system for MDS. In addition, specific germline mutations are associated with MDS development, especially in pediatrics and young adults. This article reviews the genetic abnormalities of MDS in adults with a brief review of germline predisposition syndromes.

Development of a Targeted NGS Assay for the Detection of Respiratory Pathogens including SARS-CoV-2 in Felines.

Acute respiratory diseases in felines can be attributed to a diverse range of pathogens. The recent emergence of novel viruses, particularly SARS-CoV-2 and its variants, has also been associated with respiratory ailments in cats and other pets, underscoring the need for a highly sensitive diagnostic assay capable of concurrently detecting multiple respiratory pathogens. In this study, we developed a targeted next generation sequencing panel using Ion Torrent Ampliseq technology to detect multiple respiratory pathogens, including recent SARS-CoV-2 variants and Feline herpesvirus-1, Feline calicivirus, Bordetella bronchiseptica, Mycoplasmopsis (previously Mycoplasma) felis, and Chlamydia felis. A PCR amplification-based library preparation, employing primers designed for pathogen target regions, was synthesized and divided into two pools, followed by sequencing and assembly to a repertoire of target pathogen genomes. Analytical sensitivity was assessed based on Ct values from real-time PCR for the corresponding pathogens, indicating an equivalent detection limit. Most of the pathogens under study were positively identified to a limit of approximately Ct 36, whereas for Feline herpesvirus-1 and SARS-CoV-2, positive reads were observed in samples with a Ct of 37. Based on a limited number of samples, the diagnostic sensitivity values for the SARS-CoV-2, Feline herpesvirus-1, and M. felis samples were 100% with no false negative results. The diagnostic specificity of SARS-CoV-2, Feline herpesvirus-1, Feline calicivirus, and C. felis were 100%. Importantly, none of the target primers exhibited non-specific amplification, ensuring the absence of false positive results for other pathogens within the study. Additionally, the assay's specificity was validated by cross-referencing the raw sequencing data with established databases like BLAST, affirming the high specificity of the targeted Next-Generation Sequencing (tNGS) assay. Variations in the sequencing reads of different pathogens were observed when subjected to diverse extraction methods. Rigorous assessment of the assay's reliability involved reproducibility across testing personnel and repeated runs. The developed assay's clinical applicability was tested using samples submitted to the diagnostic laboratory from cat shelters and suspected cases. The developed targeted next-generation sequencing methodology empowers the detection of multiple respiratory pathogens manifesting similar clinical symptoms while offering confirmation of results through genome sequencing.

Establishing national reference materials for genetic testing of cytochrome P450.

Reference materials for in-vitro diagnostic reagents play a critical role in determining the quality of reagents and ensuring the accuracy of clinical test results. This study aimed to establish a national reference material (NRM) for detecting cytochrome P450 (CYP) genes related to drug metabolism by screening databases on the Chinese population to identify CYP gene polymorphism characteristics. To prepare the NRM, we used DNA extracted from healthy human immortalized B lymphoblastoid cell lines as the raw material. Samples of these cell lines were obtained from the Chinese Population PGx Gene Polymorphism Biobank. Further, we used Sanger sequencing, next-generation sequencing, and commercial assay kits to validate the polymorphic genotypes. Among the CYP superfamily genes, we confirmed 24 riboswitch loci related to drug metabolism, with evidence levels of 1A, 2A, 3, and 4. We confirmed the polymorphic loci and validated their genotypes using various sequencing techniques. Our results were consistent with the polymorphism information of samples obtained from the biobank, thus demonstrating high precision and stability of the established NRM. An NRM (360 056-202 201) for CYP genetic testing covering 24 loci related to drug metabolism was established and approved to assess in-vitro diagnostic reagents containing CYP family gene polymorphisms and perform clinical inter-room quality evaluations.

CtDNA as an Adjunct to Posttreatment PET for Head and Neck Cancer Recurrence Risk Assessment.

Circulating tumor DNA (ctDNA) detection is an emerging technique that identifies minimal residual disease in patients with solid tumors. ctDNA can act as an adjunct method to help overcome the limitations of positron emission tomography (PET) and select patients who are at high risk for recurrence. Retrospective Single Institutional Study. University Hospital Setting. Twenty-nine patients who underwent definitive treatment for squamous cell carcinoma of the head and neck (HNSCC) from 8/2021 to 01/2023 had ctDNA levels analyzed at 1 to 3, 6, 9, and 12 months after definitive treatment. A personalized, tumor-informed, multiplex polymerase chain reaction (PCR) next-generation sequencing (NGS) assay was used to detect the ctDNA levels. The primary outcome was recurrence-free probability (RFP), and the secondary outcomes were overall survival (OS), sensitivity, specificity, and the test's negative (NPV) and positive predictive values (PPV). The median age of patients was 65 years (interquartile range: 56-69), with majority being males (n = 22, 76%). The primary sites were larynx (n = 12), oropharynx (n = 10), and oral cavity (n = 6). Posttreatment ctDNA was detected in 7 patients, all of whom had disease recurrence. ctDNA detection after definitive treatment was associated with a higher risk of disease recurrence (hazard ratio: 9.94, 95% confidence interval: 1.56-63.3, P = .015). ctDNA identified recurrence with 100% specificity and 78% sensitivity. The NPV and PPV were 91% and 100%. PET had 78% sensitivity but only 68% specificity with 86% NPV, and 54% PPV. Based on our data, ctDNA can be an excellent adjunct test for posttreatment PET and can help guide physicians in cases where PET results are inconclusive and difficult to interpret.

Agnostic Administration of Targeted Anticancer Drugs: Looking for a Balance between Hype and Caution.

Many tumors have well-defined vulnerabilities, thus potentially allowing highly specific and effective treatment. There is a spectrum of actionable genetic alterations which are shared across various tumor types and, therefore, can be targeted by a given drug irrespective of tumor histology. Several agnostic drug-target matches have already been approved for clinical use, e.g., immune therapy for tumors with microsatellite instability (MSI) and/or high tumor mutation burden (TMB), NTRK1-3 and RET inhibitors for cancers carrying rearrangements in these kinases, and dabrafenib plus trametinib for BRAF V600E mutated malignancies. Multiple lines of evidence suggest that this histology-independent approach is also reasonable for tumors carrying ALK and ROS1 translocations, biallelic BRCA1/2 inactivation and/or homologous recombination deficiency (HRD), strong HER2 amplification/overexpression coupled with the absence of other MAPK pathway-activating mutations, etc. On the other hand, some well-known targets are not agnostic: for example, PD-L1 expression is predictive for the efficacy of PD-L1/PD1 inhibitors only in some but not all cancer types. Unfortunately, the individual probability of finding a druggable target in a given tumor is relatively low, even with the use of comprehensive next-generation sequencing (NGS) assays. Nevertheless, the rapidly growing utilization of NGS will significantly increase the number of patients with highly unusual or exceptionally rare tumor-target combinations. Clinical trials may provide only a framework for treatment attitudes, while the decisions for individual patients usually require case-by-case consideration of the probability of deriving benefit from agnostic versus standard therapy, drug availability, associated costs, and other circumstances. The existing format of data dissemination may not be optimal for agnostic cancer medicine, as conventional scientific journals are understandably biased towards the publication of positive findings and usually discourage the submission of case reports. Despite all the limitations and concerns, histology-independent drug-target matching is certainly feasible and, therefore, will be increasingly utilized in the future.

Comparison between next-generation sequencing and multiplex polymerase chain reaction assays for nonsmall-cell lung cancer molecular diagnosis.

Genetic mutation detection has become an important step in nonsmall-cell lung cancer (NSCLC) treatment because of the increasing number of drugs that target genomic rearrangements. A multiplex test that can detect multiple gene mutations prior to treatment is thus necessary. Currently, either next-generation sequencing (NGS)-based or polymerase chain reaction (PCR)-based tests are used. We evaluated the performance of the Oncomine Dx Target Test (ODxTT), an NGS-based multiplex biomarker panel test, and the AmoyDx Pan Lung Cancer PCR Panel (AmoyDx PLC panel), a real-time PCR-based multiplex biomarker panel test. Patients with histologically diagnosed NSCLC and a sufficient sample volume to simultaneously perform the AmoyDx PLC panel and ODxTT-M were included in the study. The success and detection rates of both tests were evaluated. Biopsies revealed 116 cases of malignancies, 100 of which were NSCLC. Of these, 59 met the inclusion criteria and were eligible for analysis. The success rates were 100% and 98% for AmoyDx PLC panel and ODxTT-M, respectively. Nine driver mutations were detected in 35.9% and 37.3% of AmoyDx PLC and ODxTT-M panels, respectively. EGFR mutations were detected in 14% and 12% of samples using the AmoyDx PLC panel and ODxTT-M, respectively. Of the 58 cases in which both NGS and AmoyDx PLC panels were successful, discordant results were observed in seven cases. These differences were mainly due to different sensitivities of the detection methods used and the gene variants targeted in each test. The AmoyDx PLC panel, a PCR-based multiplex diagnostic test, exhibits a high success rate. The frequency of the nine genes targeted for treatment detected by the AmoyDx PLC panel was comparable to the frequency of mutations detected by ODxTT-M. Clinicians should understand and use the AmoyDx PLC panel and ODxTT-M with respect to their respective performances and limitations.

Optimizing the Use of Next-Generation Sequencing Assays in Patients With Urothelial Carcinoma: Recommendations by the 2023 San Raffaele Retreat Panel

BackgroundThe application of precision medicine in clinical practice implies a thorough evaluation of actionable genomic alterations to streamline therapeutic decision making. Comprehensive genomic profiling of tumor via next-generation sequencing (NGS) represents a great opportunity but also several challenges. During the 2023 San Raffaele Retreat, we aimed to provide expert recommendations for the optimal use of NGS in urothelial carcinoma (UC). Materials and MethodsA modified Delphi method was utilized, involving a panel of 12 experts in UC from European and United States centers, including oncologists, urologists, pathologists, and translational scientists. An initial survey, conducted before the meeting, delivered 15 statements to the panel. A consensus was defined when ≥70% agreement was reached for each statement. Statements not meeting the consensus threshold were discussed during the meeting. ResultsNine of the 15 statements covering patient selection, cancer characteristics, and type of NGS assay, achieved a consensus during the survey. The remaining six statements addressing the optimal timing of NGS use, the ideal source of tumor biospecimen for NGS testing, and the subsequent need to evaluate the germline nature of certain genomic findings were discussed during the meeting, leading to unanimous agreement at the end of the conference. ConclusionThis consensus-building effort addressed multiple unanswered questions regarding the use of NGS in UC. The opinion of experts was in favor of broader use of NGS. In a setting where recommendations/guidelines may be limited, these insights may aid clinicians to provide informed counselling and raise the bar of precision and personalized therapy.

Long-Term Follow-Up of Patients With Follicular Lymphoma Using Next Generation Sequencing to Detect Minimal Residual Disease

BackgroundFollicular lymphoma (FL) is a highly treatable, indolent non-Hodgkin lymphoma. Although FL is considered incurable, a patient without progression of disease by 24 months after treatment is predicted to have a survival consistent with persons without lymphoma. Using a sensitive assessment of minimal residual disease (MRD), we tested the hypothesis that MRD monitoring can predict long term remissions. MethodsUnselected patients who were in a clinical remission for at least 24 months after their last treatment were enrolled and monitored prospectively for MRD detectability using a sensitive next-generation sequencing assay (clonoSEQ, Adaptive Biotechnologies, Seattle, WA). ResultsForty-seven consecutive patients were monitored. We evaluated the MRD thresholds 10−4, 10−5, and 10−6 for the ability to predict long-term remissions in this cohort and determined that undetectable disease at 10−6 was the best predictor with a specificity and negative predictive value (NPV) of 70% and 100%, respectively. While 3 patients exhibited clinical disease progression during the course of the study, none of the 31 patients with persistent MRD undetectability at 10−6 experienced relapse. ConclusionsA significant proportion (31/47; 66.0%) of FL patients in clinical remission after ≥24 months following last therapy were undetectable at 10−6 by a sensitive assay of MRD. The threshold of sensitivity was 100%, specificity 70%, with a PPV of 19%, but a NPV of 100%. Although longer follow-up is needed for confirmation, many of these patients may continue to have durable complete remissions.

Mutation analysis and clinical profile of South African patients with Neurofibromatosis type 1 (NF1) phenotype.

Neurofibromatosis type 1 (NF1) is an autosomal dominant genetic condition with complete age-dependent penetrance, variable expressivity and a global prevalence of ∼1/3,000. It is characteriszed by numerous café-au-lait macules, skin freckling in the inguinal or axillary regions, Lisch nodules of the iris, optic gliomas, neurofibromas, and tumour predisposition. The diagnostic testing strategy for NF1 includes testing for DNA single nucleotide variants (SNVs), copy number variants (CNVs) as well as RNA analysis for deep intronic and splice variants, which can cumulatively identify the causative variant in 95% of patients. In the present study, NF1 patients were screened using a next-generation sequencing (NGS) assay targeting NF1 exons and intron/exon boundaries for SNV and NF1 multiple ligation-dependent probe amplification (MLPA) analysis for CNV detection. Twenty-six unrelated Southern African patients clinically suspected of having NF1, based on the clinical diagnostic criteria developed by the National Institute of Health (NIH), were included in the current study. A detection rate of 58% (15/26) was obtained, with SNVs identified in 80% (12/15) using a targeted gene panel and NF1 gene deletion in 20% (3/15) identified using MLPA. Ten patients (38%) had no variants identified, although they met NF1 diagnostic criteria. One VUS was identified in this study in a patient that met NF1 diagnostic criteria, however there was no sufficient information to classify variant as pathogenic. The clinical features of Southern African patients with NF1 are similar to that of the known NF1 phenotype, with the exception of a lower frequency of plexiform neurofibromas and a higher frequency of developmental/intellectual disability compared to other cohorts. This is the first clinical and molecular characterisation of a Southern African ancestry NF1 cohort using both next-generation sequencing and MLPA analysis. A significant number of patients remained without a diagnosis following DNA-level testing. The current study offers a potential molecular testing strategy for our low resource environment that could benefit a significant proportion of patients who previously only received a clinical diagnosis without molecular confirmation.

DNA variants detected in primary and metastatic lung adenocarcinoma: a case report and review of the literature.

Non-small cell lung cancer (NSCLC) has been found to have recurrent genetic abnormalities, and novel therapies targeting these aberrations have improved patient survival. In this study, specimens from benign tissue, primary tumors, and brain metastases were obtained at autopsy from a 55-year-old White female patient diagnosed with NSCLC and were examined using next-generation sequencing (NGS) and chromosomal microarray assay (CMA). No genetic aberrations were noted in the benign tissue; however, NGS identified a mutation in the KRAS proto-oncogene, GTPase (KRAS): KRAS exon 2 p.G12D in primary and metastatic tumor specimens. We observed 7 DNA copy number aberrations (CNAs) in primary and metastatic tumor specimens; an additional 7 CNAs were exclusively detected in the metastatic tumor specimens. These DNA alterations may be genetic drivers in the pathogenesis of the tumor specimen from our patient and may serve as biomarkers for the classification and prognosis of NSCLC.

Abstract 5041: Next generation liquid biopsy reference material performance across NGS assays and platforms

Abstract Liquid biopsy testing has grown to support early disease diagnosis, therapy selection, and disease and treatment surveillance in cancer survivors. Recent advances in next generation sequencing (NGS) have enabled larger panel sizes, pan-cancer target sets, and wider ranges of genomic alterations. More inclusive analytical validation materials are needed to assess assay sensitivity, specificity, and limit of detection of all variant types to serve the expanded utility of liquid biopsy testing. Here we describe the development and multisite evaluation of expanded Seraseq® ctDNA Mutation Mix v4 reference materials. Genomic DNA from the GM24385 cell line was blended with 93 clinically relevant biosynthetic DNA variants including single nucleotide variants (SNVs), insertions and deletions (indels), structural variants (SVs), copy number variations (CNVs), and mono- and dinucleotide biomarkers for microsatellite instability (MSI). Variant allele frequency (VAF) was targeted to 0.5% and total copy number for CNVs was targeted to 2.5 and verified using the Bio-Rad QX-200 Droplet Digital PCR (ddPCR) System. The DNA mix was fragmented and purified to create ctDNA-like size profiles. Wild-type (WT) material was prepared for comparison and identification of background variants. Agilent Bioanalyzer High Sensitivity DNA and TapeStation Cell-free DNA ScreenTape analyses were used to assess fragment size. The ctDNA mixes were analyzed with the Illumina TruSight™ Oncology 500 (TSO 500) ctDNA assay, the Thermo Oncomine™ Precision assay, and additional assays. All biosynthetic SNVs, indels, SVs, and CNVs in the 0.5% ctDNA mix were detected near target values. The average fragment size was about 190 bp, similar to native ctDNA. The VAFs and CNVs observed in the TSO 500 data correlated well with those that were obtained by dPCR. Variants reported by all evaluation site assays showed good concordance of VAF values. The two sites that tested the materials with TSO 500 revealed consistency in both VAF and total copies with an average CV of 16.1% and 2.5%, respectively. The sequencing performance of the reference material was similar to patient samples and showed comparable levels of background noise. The performance of the Seraseq ctDNA v4 mutation mix across NGS assays, supported by robust digital PCR data, demonstrated that these materials will allow for assessment of complex and sensitive liquid biopsy tests. Comparing data measured at different sites highlights the variability in liquid biopsy assay performance and the importance of highly multiplexed and consistent reference materials. Remnant samples are typically not an option due to limited yields from a standard blood draw, thus contrived standards are especially needed. Expanded variant content and improvements in the methods used to produce the Seraseq ctDNA Mutation Mix v4 materials will enable advancements in the blood-based NGS clinical diagnostics space. Citation Format: Dana Ruminski Lowe, Sanchita Jamindar, Yves Konigshofer, Andrew Anfora, Krystyna Nahilk, Dianren Xia, Edward S. Davis, David Merriam, Catherine Huang, Russell Garlick, Bharathi Anekella. Next generation liquid biopsy reference material performance across NGS assays and platforms [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5041.

Abstract 6399: Real-world experience of an Asian pan-cancer combined DNA/RNA next generation sequencing (NGS) tissue biopsy assay

Abstract Introduction: Comprehensive molecular profiling with combined DNA-RNA next-generation sequencing (NGS) on tumor tissue is now increasingly being used as standard-of-care for sequence therapy selection to improve cancer survival. Combined DNA-RNA NGS is also considered standard-of-care for central nervous system (CNS) tumor classification. Despite the genetic heterogeneity and diversity of cancers, most commercial combined DNA/RNA NGS assays are validated in Western populations, resulting in knowledge gaps in patient outcomes. We report here for the first time a range of actionable outcomes from a comprehensive DNA/RNA tissue NGS assay designed specifically to probe Asian-prevalent cancers and biomarkers in an international multicenter real-world study in Asia. Methods: 1,002 formalin-fixed paraffin-embedded tissue samples from 995 Asian cancer patients across &amp;gt;70 centers in 7 countries and/or territories underwent real-world DNA/RNA NGS testing in a CAP-accredited CLIA-certified laboratory. Genomic alterations including SNVs, INDELS, gene fusions, CNVs, TMB, and MSI were analyzed using an Asian-centric pan-cancer hybrid-capture NGS panel that comprehensively profiles 572 cancer-related genes and 91 RNA fusion partners (UNITED). Biomarkers were considered actionable if the therapeutic indication in any solid tumor or hematological cancer was FDA-approved, guidelines-recommended, or supported by well-powered phase III clinical trials. Results: 27 cancer types were represented in 1,002 tissue samples, with lung, breast, colorectal, and prostate cancers comprising 45.5% of clinical volume. 79.5% of samples harbored ≥1 actionable biomarker, with the most frequently altered genes being TP53, KRAS, PIK3CA, EGFR, and NF1. Overall, 42.6% of samples had ≥1 biomarker with an indication in the patient’s cancer type, including 81.5% of lung, 59.0% of breast, 61.8% of colorectal, and 42.1% of prostate cancers. Across the pan-cancer cohort, 13.3% was TMB-high and 1.9% was MSI-high. 26.3% of samples were from cancer types outside the original assay design; the top 3 were pancreatic cancer (7.3%), sarcoma (3.3%), and CNS tumor (3.1%). Cancers of unknown primary (CUP) also constituted a significant proportion (3.8%). In CNS tumors, 38.7% harbored an actionable mutation in IDH1, BRAF, or H3-3A. In CUP, 78.8% harbored an actionable mutation; 50% of samples harbored biomarkers that additionally informed potential tumor origin, including mutations in EGFR, MET, ALK, ROS1, and BRCA1. Conclusion: The use of an Asian-focused pan-cancer DNA/RNA NGS panel resulted in detection of actionable biomarkers in 79.5% of clinical cases. These findings support the utility of DNA/RNA NGS assays in informing standard-of-care therapeutic decisions in Asian cancer patients for maximizing cancer survival. Citation Format: Jason Yongsheng Chan, Jing Yi Lee, Zi Yi Wan, Abner Herbert Lim, Tun Kiat Ko, Cedric Chuan-Young Ng, Donald Poon, Jens Samol, Tsz Him So, Su Pin Choo, Ravindran Kanesvaran, Cheng-Vai Hui, Joseph Siu-Kie Au, Aya El Helali, Timothy Yip, Vikneswari Rajasegaran, Sandy Lim, Ruifen Weng, Puay Hoon Tan, Bin Tean Teh, Min-Han Tan, Jonathan Poh. Real-world experience of an Asian pan-cancer combined DNA/RNA next generation sequencing (NGS) tissue biopsy assay [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6399.

Abstract 949: A single stranded DNA library preparation workflow used for hybridization capture based WES assay showed superior uniformity

Abstract Introduction: In many instances in Precision Oncology Medicine fragmented DNA from formalin-fixed paraffin-embedded (FFPE) samples is the only option. The majority of such degradedsamples need to be sequenced using next generation sequencing (NGS) [1]. Standardizedguidelines highlight that a minimum of 500 × coverage depth is required for tissue analyses [2].However, coverage isn’t the only metric required for a successful NGS analysis. Highly uniformDNA libraries allow clinical labs to generate more hits from their screens, saving both time andmoney across the course of diagnosis therefore ultimately benefits patient care. The commerciallyavailable single stranded DNA library prep kit tested in this study renders all input moleculessingle-stranded before ligation therefore it recovers template molecules containing DNA nicks andlabile lesions thus maximizing library complexity. Method: 10 solid tumor FFPE derived DNA samples went through three different NGS workflows:100ng of DNA input in an amplicon-based assay 325 gene panel (Assay A), 60ng input for a 500gene mechanical sheared-based double strand DNA library preparation with hybridization captureassay (~500 gene panel, Assay B), 50ng and 10ng input for a enzymatic shear-based singlestranded DNA library preparation with hybridization capture assay (WES with 1000+ enhancedgene content, Assay C). Data from assays A and C was processed with in-house bioinformaticpipeline, while Assay B’s data was processed with a commercially available bioinformatic pipelinethat was bundled with the assay. NGS QC metrics were compared across the three datasets. Results: This novel single stranded DNA library preparation with hybridization capture workflowshowed superior QC metrics compared to the other two workflows, especially on coverageuniformity and percent target above 100X, with as low as 10ng input. Conclusion: Employing a novel commercially available DNA library preparation workflow in anNGS assay, NeoGenomics was able to rescue poor quality samples that had previously failed tomeet our internal uniformity metric on other NGS assays and generate robust and reportableresults with as low as 10ng DNA input.[1] Nagahashi et al., J Surg Res. 2017 Dec; 220: 125-132.[2] Cappello et al., J Pers Med. 2022 May; 12(5): 750. Citation Format: Jieying Chu, Rachel Schell, Faqiang Wu, Michal Krawczyk, Daniel Whang, Segun Jung, Hyunjun Nam, Kenneth B. Thomas, Fernando J. Lopez-Diaz, Vincent Funari, Julie A. Mayer, Shashi Kulkarni, Jiannan Guo, Steven P. Lau-Rivera. A single stranded DNA library preparation workflow used for hybridization capture based WES assay showed superior uniformity [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 949.

Abstract 2324: Leveraging a comprehensive genomic data library for detecting clonal hematopoiesis in liquid biopsy

Abstract Background: Clonal Hematopoiesis (CH) is a well established confounder in next-generation sequencing (NGS)-based liquid biopsy cancer diagnostics. Misclassification of CH variants as tumor variants can lead to false positive actionable variant detection, potentially resulting in incorrect interpretation of results and therapy selection. Moreover, CH variants may also interfere with quantitative variant monitoring leading to inaccurate assessment of treatment response. While filtering of CH variants is possible via matched sequencing of white blood cell and plasma DNA, emerging algorithmic approaches may enable a more resource-effective, time-sensitive approach with high precision. Methods: A random forest classifier was trained and validated on 1321 advanced, pan-solid tumor cancer samples (training n=660, validation n=661) sequenced using both the Tempus xF+ (liquid biopsy) and Tempus xT (solid tumor with matched buffy coat) NGS assays. Variants were labeled as CH or tumor-derived based on solid-tissue results in 39 genes that are known to be associated with CH (e.g., DNMT3A, TET2, TP53). The classifier was trained to classify SNV and indel variants detected via liquid biopsy as circulating-tumor or non-tumor (CH + germline) in origin. Features used by the classifier include the fragment size of reads overlapping each variant, prevalence in solid-tumor samples from the Tempus multimodal database, and variant allele fraction relative to estimated tumor fraction. Model classifications were validated against Tempus xT. Results: Our training set (n=660 liquid biopsy samples) included 680 pathogenic variants. 50% (n=342/680) were determined to be tumor-derived, while 50% (338/680) are likely due to CH. Our independent validation (n=661 samples) included 600 pathogenic variants. Model prediction accuracy on these validation set variants was 91.7%, with an ROC-AUC of 0.97. Sensitivity was 88.3% (n=257/291 true positives correctly labeled as non-tumor variants), specificity was 94.8% (n=293/309 true negatives correctly labeled as tumor variants), and precision was 94.1%. The model ranked “gene” as the most informative feature for variant classification, followed by measurements of fragment distribution and historical prevalence of individual variants within the Tempus Database. Conclusion: A novel classifier trained on multiple orthogonal bioinformatics features can reliably distinguish CH from tumor-derived variants using only liquid biopsy data with high accuracy, including high sensitivity and high specificity. Citation Format: Anne Sonnenschein, Maysun Hasan, Sandra Hui, Bob Tell, Halla Nimeiri, Jonathan Freaney, Kate Sasser, Wei Zhu, Christine Lo. Leveraging a comprehensive genomic data library for detecting clonal hematopoiesis in liquid biopsy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2324.