Mutation-specific PCR Research Articles

Identification of novel 3D-genome altering and complex structural variants underlying retinitis pigmentosa type 17 through a multistep and high-throughput approach.

Autosomal dominant retinitis pigmentosa type 17 (adRP, type RP17) is caused by complex structural variants (SVs) affecting a locus on chromosome 17 (chr17q22). The SVs disrupt the 3D regulatory landscape by altering the topologically associating domain (TAD) structure of the locus, creating novel TAD structures (neo-TADs) and ectopic enhancer-gene contacts. Currently, screening for RP17-associated SVs is not included in routine diagnostics given the complexity of the variants and a lack of cost-effective detection methods. The aim of this study was to accurately detect novel RP17-SVs by establishing a systematic and efficient workflow. Genetically unexplained probands diagnosed with adRP (n = 509) from an international cohort were screened using a smMIPs or genomic qPCR-based approach tailored for the RP17 locus. Suspected copy number changes were validated using high-density SNP-array genotyping, and SV breakpoint characterization was performed by mutation-specific breakpoint PCR, genome sequencing and, if required, optical genome mapping. In silico modeling of novel SVs was performed to predict the formation of neo-TADs and whether ectopic contacts between the retinal enhancers and the GDPD1-promoter could be formed. Using this workflow, potential RP17-SVs were detected in eight probands of which seven were confirmed. Two novel SVs were identified that are predicted to cause TAD rearrangement and retinal enhancer-GDPD1 contact, one from Germany (DE-SV9) and three with the same SV from the United States (US-SV10). Previously reported RP17-SVs were also identified in three Australian probands, one with UK-SV2 and two with SA-SV3. In summary, we describe a validated multi-step pipeline for reliable and efficient RP17-SV discovery and expand the range of disease-associated SVs. Based on these data, RP17-SVs can be considered a frequent cause of adRP which warrants the inclusion of RP17-screening as a standard diagnostic test for this disease.

Multicenter clinical trial of DNA markers for non-invasive differential diagnosis of benign and malignant melanocytic lesions.

e21550 Background: The differentiation between benign melanocytic neoplasms (nevi) and malignant melanocytic neoplasms (melanoma) presents a significant diagnostic challenge, necessitating the development of accurate and reliable diagnostic markers. This study aimed to evaluate the analytical characteristics of selected DNA markers for their efficacy in differentiating these conditions. Methods: A prospective analysis was conducted on sample groups obtained from participants of the multicenter clinical study, MoleMed. The study included 112 histological samples from 100 patients and a corresponding number of cytological samples, collected with the aim of evaluating DNA markers' sensitivity and specificity. DNA extraction followed a previously developed protocol, with concentration and quality assessed through microchip electrophoresis and real-time PCR. Molecular testing targeted mutations in "hotspots" of the BRAF and NRAS genes, as well as promoter mutations in the TERT gene, employing mutation-specific PCR amplification and Sanger sequencing for verification. Results: DNA extraction was successfully performed for 101 cytological samples, with concentrations ranging from < 0.001 ng/µl to 5,508 ng/µl; the average concentration was 106.52 ng/µl, and the median was 2.37 ng/µl. BRAF mutations were found in 28 samples, with the mutation c.1799T > A (p.Val600Glu, V600E) in 21 samples, c.1798_1799GT > AA (p.Val600Lys, V600K) in 6 samples, and c.1799_1800TG > AT (p.Val600Asp, V600D) in 1 sample. NRAS mutations were detected in 11 samples, including c.181C > A (p.Gln61Lys, Q61K) in 6 samples, c.182A > G (p.Gln61Arg, Q61R) in 3 samples, and c.182A > T (p.Gln61Leu, Q61L) in 2 samples. No cases of simultaneous presence of more than one mutation in BRAF and NRAS "hotspots" within the same cytological sample were observed. DNA profiling of cytological material revealed signs of malignant neoplasms (MN) in 49 samples and no signs of MN in 52 samples. TERT mutations c.-124C > T were detected in 21 samples, c.-146C > T in 31 samples (including "borderline" cases), and c.-139_-138CC > TT in 4 samples. Six samples exhibited more than one mutation, highlighting the complexity of genomic alterations in these neoplasms. Conclusions: The PCR analysis of the five DNA markers on both histological and cytological samples of human skin melanomas and nevi demonstrates promising analytical characteristics, with sensitivity and specificity exceeding 70% for all tested scenarios. These results highlight the potential utility of these DNA markers in the differential diagnosis of melanocytic neoplasms, offering a reliable, non-invasive diagnostic tool that complements traditional histopathological examination. Clinical trial information: NCT04353050 .

S-Gene Target Failure as an Effective Tool for Tracking the Emergence of Dominant SARS-CoV-2 Variants in Switzerland and Liechtenstein, Including Alpha, Delta, and Omicron BA.1, BA.2, and BA.4/BA.5.

During the SARS-CoV-2 pandemic, the Dr. Risch medical group employed the multiplex TaqPathTM COVID-19 CE-IVD RT-PCR Kit for large-scale routine diagnostic testing in Switzerland and the principality of Liechtenstein. The TaqPath Kit is a widely used multiplex assay targeting three genes (i.e., ORF1AB, N, S). With emergence of the B.1.1.7 (Alpha) variant, a diagnostic flaw became apparent as the amplification of the S-gene target was absent in these samples due to a deletion (ΔH69/V70) in the Alpha variant genome. This S-gene target failure (SGTF) was the earliest indication of a new variant emerging and was also observed in subsequent variants such as Omicron BA.1 and BA4/BA.5. The Delta variant and Omicron BA.2 did not present with SGTF. From September 2020 to November 2022, we investigated the applicability of the SGTF as a surrogate marker for emerging variants such as B.1.1.7, B.1.617.2 (Delta), and Omicron BA.1, BA.2, and BA.4/BA.5 in samples with cycle threshold (Ct) values < 30. Next to true SGTF-positive and SGTF-negative samples, there were also samples presenting with delayed-type S-gene amplification (higher Ct value for S-gene than ORF1ab gene). Among these, a difference of 3.8 Ct values between the S- and ORF1ab genes was found to best distinguish between "true" SGTF and the cycle threshold variability of the assay. Samples above the cutoff were subsequently termed partial SGTF (pSGTF). Variant confirmation was performed by whole-genome sequencing (Oxford Nanopore Technology, Oxford, UK) or mutation-specific PCR (TIB MOLBIOL). In total, 17,724 (7.4%) samples among 240,896 positives were variant-confirmed, resulting in an overall sensitivity and specificity of 93.2% [92.7%, 93.7%] and 99.3% [99.2%, 99.5%], respectively. Sensitivity was increased to 98.2% [97.9% to 98.4%] and specificity lowered to 98.9% [98.6% to 99.1%] when samples with pSGTF were included. Furthermore, weekly logistic growth rates (α) and sigmoid's midpoint (t0) were calculated based on SGTF data and did not significantly differ from calculations based on comprehensive data from GISAID. The SGTF therefore allowed for a valid real-time estimate for the introduction of all dominant variants in Switzerland and Liechtenstein.

Differential Expression of Serum Proinflammatory Cytokine TNF-α and Genetic Determinants of TNF-α, CYP2C19*17, miR-423 Genes and Their Effect on Coronary Artery Disease Predisposition and Progression.

Coronary artery disease (CAD) is the leading cause of death and hospitalization worldwide and represents a problem for public health systems everywhere. In Saudi Arabia, the prevalence of CAD is estimated to be 5.5%. Risk factors for CAD include older age, male gender, obesity, high blood pressure, smoking, diabetes, hyperlipidemia, and genetic factors. Reducing the risk factors in susceptible individuals will decrease the prevalence of CAD. Genome wide association studies have helped to reveal the association of many loci with diseases like CAD. In this study, we examined the link between single nucleotide variations (SNVs) of TNF-α-rs1800629 G>A, CYP2C19*17 (rs12248560) C>T, and miR-423 rs6505162 C>A and the expression of TNF-α with CAD. We used the mutation specific PCR, ARMS-PCR, and ELISA. The results showed that the A allele of the TNF-α rs1800629 G>A SNP is linked to CAD with odd ratio (OR) (95% CI) = 2.10, p-value = 0.0013. The T allele of the CYP2C19*17 (rs12248560) C>T is linked to CAD with OR (95% CI) = 2.02, p-value = 0.003. In addition, the A allele of the miR-423 rs6505162 C>A SNV is linked to CAD with OR (95% CI) = 1.49, p-value = 0.036. The ELISA results indicated that the TNF-α serum levels are significantly increased in CAD patients compared to healthy controls. We conclude the TNF-α rs1800629 G>A, CYP2C19*17, and miR-423 rs6505162 C>A are potential genetic loci for CAD in the Saudi population. These findings require further verification in future studies. After being verified, our results might be utilized in genetic testing to identify individuals that are susceptible to CAD and, therefore, for whom reducing modifiable risk factors (e.g., poor diet, diabetes, obesity, and smoking) would result in prevention or delay of CAD.

Detection and Monitoring of Tumor-Derived Mutations in Circulating Tumor DNA Using the UltraSEEK Lung Panel on the MassARRAY System in Metastatic Non-Small Cell Lung Cancer Patients.

Analysis of circulating tumor DNA (ctDNA) is a potential minimally invasive molecular tool to guide treatment decision-making and disease monitoring. A suitable diagnostic-grade platform is required for the detection of tumor-specific mutations with high sensitivity in the circulating cell-free DNA (ccfDNA) of cancer patients. In this multicenter study, the ccfDNA of 72 patients treated for advanced-stage non-small cell lung cancer (NSCLC) was evaluated using the UltraSEEK® Lung Panel on the MassARRAY® System, covering 73 hotspot mutations in EGFR, KRAS, BRAF, ERBB2, and PIK3CA against mutation-specific droplet digital PCR (ddPCR) and routine tumor tissue NGS. Variant detection accuracy at primary diagnosis and during disease progression, and ctDNA dynamics as a marker of treatment efficacy, were analyzed. A multicenter evaluation using reference material demonstrated an overall detection rate of over 90% for variant allele frequencies (VAFs) > 0.5%, irrespective of ccfDNA input. A comparison of UltraSEEK® and ddPCR analyses revealed a 90% concordance. An 80% concordance between therapeutically targetable mutations detected in tumor tissue NGS and ccfDNA UltraSEEK® analysis at baseline was observed. Nine of 84 (11%) tumor tissue mutations were not covered by UltraSEEK®. A decrease in ctDNA levels at 4-6 weeks after treatment initiation detected with UltraSEEK® correlated with prolonged median PFS (46 vs. 6 weeks; p < 0.05) and OS (145 vs. 30 weeks; p < 0.01). Using plasma-derived ccfDNA, the UltraSEEK® Lung Panel with a mid-density set of the most common predictive markers for NSCLC is an alternative tool to detect mutations both at diagnosis and during disease progression and to monitor treatment response.

Association of circulating tumor DNA kinetics with disease recurrence in patients with stage IIIB/C/IV melanoma treated with adjuvant immunotherapy in Checkmate 238.

9577 Background: In patients (pts) with resected, stage III/IV melanoma receiving adjuvant immunotherapy, pre-treatment (pre-Tx) and on-treatment (on-Tx) circulating tumor DNA (ctDNA) combined with tumor features were evaluated to predict recurrence risk. Methods: We used analytically validated, mutation-specific droplet digital PCR (ddPCR) assays to measure ctDNA in pre- and on-Tx plasma samples from pts with resected stage IIIB/C/IV melanoma enrolled in CheckMate 238 (NCT02388906) receiving either adjuvant Nivolumab (NIVO) or Ipilimumab (IPI). Assay choice was based on detection of one of the 7 melanoma hot-spot mutations in pt tumors: BRAF V600E/K, NRAS Q61R/L/K, or TERT C228T/C250T. We evaluated associations between ctDNA detection, recurrence free survival (RFS), distant metastasis free survival (DMFS), and known immunotherapy tumor biomarkers including PD-L1, IFNg gene signature, CD8, and tumor mutational burden. Associations between ctDNA kinetics and RFS/DMFS were analyzed using Kaplan-Meier and Cox regression models. Results: Mutations were identified in 87% of tumors. ctDNA was detected in pre-Tx samples from 94/753 (12.5%) pts. Pre-Tx ctDNA was significantly associated with higher stage of disease, LDH ≥ ULN, PD-L1 &lt; 5%, and tumor IFNg-RNA signature expression below the median. Detection of pre-Tx ctDNA was associated with shorter RFS and DMFS in both NIVO and IPI arms compared to undetectable ctDNA (Table). ctDNA detection on-Tx (week (w) 3, 7, 13, 25, 37, 49) was also associated with shorter RFS. Refined subgroup predictions that potentially impact therapy were achieved by incorporating pre- and on-Tx time points. Of those with baseline and w7 ctDNA results, pts in the NIVO arm with undetectable pre-Tx ctDNA (n=308) that became positive at w7 (n=22) had shorter RFS (median RFS 20.68 mos [95% CI, 2.79, NR]) than pts in whom on-Tx ctDNA remained undetectable (n=286) (median RFS, NR [95% CI, 61.1, NR]). Pts with positive pre-Tx ctDNA (n=42) that remained positive at w7 (n=23) had markedly shorter RFS (median RFS, 3.35 mos [95% CI, 2.73, 20.44]) vs pts in whom on-Tx ctDNA became undetectable (n=19) (median RFS, NR [95% CI, 14, NR]). Similar results were observed in the IPI arm. Conclusions: Pre- and on-Tx ctDNA measurements are associated with melanoma recurrence risk during adjuvant checkpoint inhibitor therapy. Incorporation of ctDNA with other tumor molecular features may improve prediction of RFS and DMFS in this setting. Clinical trial information: NCT02388906 . [Table: see text]

Minimal residual disease detection by mutation-specific droplet digital PCR for leukemia/lymphoma

Minimal residual disease (MRD) is usually defined as the small number of cancer cells that remain in the body after treatment. The clinical significance of MRD kinetics is well recognized in treatment of hematologic malignancies, particularly acute lymphoblastic leukemia (ALL). Real time quantitative PCR targeting immunoglobulin (Ig) or T-cell receptor (TCR) rearrangement (PCR-MRD), as well as multiparametric flow cytometric analysis targeting antigen expression, are widely used in MRD detection. In this study, we devised an alternative method to detect MRD using droplet digital PCR (ddPCR), targeting somatic single nucleotide variants (SNVs). This ddPCR-based method (ddPCR-MRD) had sensitivity up to 1E-4. We assessed ddPCR-MRD at 26 time points from eight T-ALL patients, and compared it to the results of PCR-MRD. Almost all results were concordant between the two methods, but ddPCR-MRD detected micro-residual disease that was missed by PCR-MRD in one patient. We also measured MRD in stored ovarian tissue of four pediatric cancer patients, and detected 1E-2 of submicroscopic infiltration. Considering the universality of ddPCR-MRD, the methods can be used as a complement for not only ALL, but also other malignant diseases regardless of tumor-specific Ig/TCR or surface antigen patterns.

Identification of SARS CoV-2 Omicron BA.1 and a novel Delta lineage by rapid methods and partial spike protein sequences in Sulaymaniyah Province, Iraq.

Five variants of concern (VOCs) of severe acute respiratory syndrome coronavirus 2 (SARS CoV-2) have been globally recorded including Alpha, Beta, Gamma, Delta, and Omicron. The Omicron variant has outcompeted the other variants including the Delta variant. Molecular screenings of VOCs are important for surveillance, treatment, and vaccination programs. This study aimed to identify VOCs by using rapid inexpensive methods and partial sequencing of the virus's spike gene. Mutation-specific rRT PCR probes were used for both D614G and K417N mutations to potentially discriminate between Delta and Omicron variants. These were followed by sequencing of a fragment of spike gene (748 nucleotides), which covers the most notable VOC mutations in the receptor binding domain of SARS CoV-2. Rapid methods showed that out of 24 SARS CoV-2 positive samples, 19 carried the N417 mutation, which is present in the Omicron variant. Furthermore, 3 samples carried K417 wildtype, which is present in the Delta variant. Additionally, 2 samples containing both K417 and N417 suggested mixed infections between the two variants. The D614G mutation was present in all samples. Among the 4 samples sequenced, 3 samples carried 13 mutations, which are present in Omicron BA.1. The fourth sample contained the two common mutations (T478K and L452R) present in Delta, in addition to two more rare mutations (F456L and F490S), which are not commonly seen in Delta. Our data suggested that both Omicron variant BA.1 and a novel Delta variant might have circulated in this region that needs further investigations.

Differences in SARS-CoV-2 Clinical Manifestations and Disease Severity in Children and Adolescents by Infecting Variant.

Since the COVID-19 pandemic began, different SARS-CoV-2 variants have been identified and associated with higher transmissibility than the ancestral nonvariant strain. During January 1, 2021-January 15, 2022, we assessed differences in clinical and viral parameters in a convenience sample of COVID-19 outpatients and inpatients 0-21 years of age in Columbus, Ohio, USA, according to the infecting variant, identified using a mutation-specific reverse transcription PCR assay. Of the 676 patients in the study, 17.75% were infected with nonvariant strains, 18.49% with the Alpha variant, 41.72% with Delta, and 16.42% with Omicron. Rates of SARS-COV-2/viral co-infections were 15.66%-29.41% and were comparable across infecting variants. Inpatients with acute Delta and Omicron infections had lower SARS-CoV-2 cycle threshold values and more frequent fever and respiratory symptoms than those with nonvariant strain infections. In addition, SARS-COV-2/viral co-infections and the presence of underlying conditions were independently associated with worse clinical outcomes, irrespective of the infecting variant.

Abstract 3411: Detection and monitoring of tumor-derived mutations in ctDNA using the UltraSEEK Lung Panel on the MassARRAY System in metastatic NSCLC patients

Abstract Background: The analysis of circulating tumor DNA (ctDNA) is a potential minimally invasive molecular tool to guide treatment decision making and disease monitoring. A suitable diagnostic-grade platform is required for detection of tumor-specific mutations with high sensitivity in circulating cell-free DNA (ccfDNA) of cancer patients. Methods: In an international multicenter study conducted by three laboratories participating in the CANCER-ID consortium, a cohort containing 177 cell-free plasma samples at baseline, follow-up or disease progression derived from 72 patients treated for advanced-stage non-small cell lung cancer (NSCLC), relevant mutations were tested using the UltraSEEK® Lung Panel on the MassARRAY® System covering 73 hotspot mutations in EGFR, KRAS, BRAF, ERBB2 and PIK3CA, and compared against mutation-specific droplet digital PCR (ddPCR) and tumor tissue next-generation sequencing (NGS) performed in routine diagnostics. Variant detection accuracy at primary diagnosis and during disease progression, and ctDNA dynamics as a marker of treatment efficacy were analyzed. Results: The UltraSEEK® Lung Panel revealed an overall detection rate of 87.2% irrespective of ccfDNA input, and a specificity of &amp;gt;99.5% using the reference material. When comparing the 131 variants identified in the patient-derived cell-free plasma using UltraSEEK® with mutation-specific ddPCR analyses, a concordance of 90% was found. The 77 diagnostically or clinically relevant variants identified in 66 pretreatment tumor tissue showed an overall concordance with UltraSEEK® of 73% at baseline with a false-negative rate of 3%. When restricting to therapeutically targetable mutations, the concordance elevated to 85%. A decrease in ctDNA levels at 4-6 weeks after start of treatment detected with UltraSEEK® correlated with a prolonged median PFS (46 vs 11 weeks; P&amp;lt;0.05) and OS (145 vs 39 weeks; P&amp;lt;0.001). In four out of thirteen NSCLC patients treated with targeted therapy, resistance mutations were identified using UltraSEEK® at disease progression, implicating the requirement of a therapy switch. Conclusion: Using plasma-derived ccfDNA, the UltraSEEK® Lung Panel with a mid-density set of the most common predictive markers for NSCLC is an alternative tool to detect both mutations at diagnosis and disease progression, and to monitor treatment response. Citation Format: Paul van der Leest, Melanie Janning, Naomi Rifaela, Maria L. Aguirre Azpurua, Jolanthe Kropidlowski, Sonja Loges, Nicholas Lozano, Alexander Sartori, Darryl Irwin, Pierre-Jean Lamy, T. Jeroen N. Hiltermann, Harry J. Groen, Klaus Pantel, Léon C. van Kempen, Harriet Wikman, Ed Schuuring. Detection and monitoring of tumor-derived mutations in ctDNA using the UltraSEEK Lung Panel on the MassARRAY System in metastatic NSCLC patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3411.

Molecular determination of progesterone receptor's PROGINS allele (Alu insertion) and its association with the predisposition and susceptibility to polycystic ovary syndrome (PCOS).

Polycystic ovary syndrome, previously known as Stein-Leventhal syndrome, is associated with altered reproductive endocrinology, predisposing a young woman towards the risk of PCOS. It has a prevalence of 6-20% among the reproductive-age women. Progesterone is a key hormone in the pathophysiology of PCOS and patients show diminished response (progesterone resistance), implicating the role of progesterone receptor (PR) as a factor in the disease etiology and prognosis. In this case-control study, we have used mutation-specific PCR (confirmed by Sanger sequencing) to detect the presence of a pathologically significant PR polymorphic variant called as PROGINS. The variant has an Alu insertion in intron G and has two SNPs in exon 4 and exon 5, with all the three aberrations in complete disequilibrium. Our results demonstrated a statistically significant difference in the frequencies of PROGINS between the PCOS patients and healthy controls (p = 0.047). The frequencies of the genotypes CC (A1/A1), CT (A1/A2), and TT (A2/A2) in patients were 74.50%, 20.58%, and 4.90%, and in healthy controls they were 87.28%, 11%, and 1.69%, respectively. Our results put forward two determining factors with regard to PCOS: (i) the frequency of PROGINS allele was significantly higher among PCOS patients compared to the healthy matched controls (0.15 vs 0.07) in the studied population, (ii) the PROGIN allele was significantly associated with the lower levels of serum progesterone in PCOS patients (p < 0.003). The findings are conspicuous as these relate the PROGINS variant to the increased susceptibility of PCOS and might explain the progesterone resistance in patients.

Inadequate design of mutation detection panels prevents interpretation of variants of concern: results of an external quality assessment for SARS-CoV-2 variant detection

Abstract Objectives Mutation-specific PCR assays have quickly found their way into laboratory diagnostics due to their capacity to be a fast, easy to implement and high-throughput method for the detection of known SARS-CoV-2 variants of concern (VoCs). However, little is known about the performance of such assays in routine laboratory analysis. Methods The results reported in a recent round of an external quality assessment (EQA) scheme for SARS-CoV-2 mutation-specific PCR were retrospectively analyzed. For the determination of individual variant-specific sequences as well as for the interpretation results for certain virus variants, correct, incorrect, and unreported results were evaluated, and their possible causes were investigated. Results A total of 34 laboratories participated in this study. For five samples containing the VoC Alpha + E484K, Beta, Gamma, Delta, or B.1.1.318 (as a variant of interest), 848 results for SARS-2-CoV mutation detection were reported, 824 (97.2%, range per sample 88–100%) of which were correct. Melting curve assays gave 99% correct results, real-time RT-qPCR 94%, microarray-based assays 100%, and MALDI-TOF MS 96%. A total of 122/167 (73%) reported results for SARS-CoV-2 variant determination were correct. Of the 45 inconclusive or incorrect results, 33 (73%) were due to inadequate selection of targets that did not allow identification of contemporary VoC, 11 (24%) were due to incorrect results, and one (3%) was due to correct results of mutation-specific PCR. Conclusions Careful and up-to-date selection of the targets used in mutation-specific PCR is essential for successful detection of current SARS-CoV-2 variants.

Genetic Diversity within Leukemia-Associated Immunophenotype-Defined Subclones in AML

Acute myeloid leukemia (AML) is a heterogeneous clonal disease and in different patients, different combinations of mutations may be found that drive the disease. Also within patients, various leukemic clones with a different combination of mutations may co-exist, reflecting various evolutionary stages of the disease. At present, flowcytometry and mutational analyses are used to keep track of the malignant cells during and after treatment. Using panels of antibodies, abnormal cells can be identified when lineage markers are over- or underexpressed, or when abnormal differentiation leads to the co-expression of markers that normally are not expressed together on hematopoietic cells. These patient-specific leukemia-associated immunophenptypes (LAIPs) can be followed during and after treatment, and enable the early detection of resistant and recurring disease. Often, several LAIPs are present simultaneously within a patient, but their clonal relationship is not always clear. In addition, next-generation sequencing and mutation-specific PCR can be used to follow the leukemic cells. As the clinical consequences of MRD-positivity may consist of high-dose re-induction chemotherapy or stem cell transplantation, accurate results are of the highest importance. Although it has already been shown that flowcytometry and mutational analysis may have added value, in-depth information on the genetic make-up of immunophenotypically defined normal and leukemic subclones and their clonal relationship in AML is still scarce. To study the genetic similarities and differences between various normal and leukemic subclones defined by immunophenotyping, we performed an in-depth analysis of the genetic makeup of FACS-sorted immunophenotypically normal and aberrant subclones in 10 cases of AML. In total, 86 LAIPs and normal cell fractions were sorted and fully genotyped using error-corrected sequencing with a panel genes that are recurrently mutated in AML. In some cases, different aberrant populations from the same patient carried identical mutations, indicating that the leukemia was highly homogeneous, and that the phenotypically different LAIPs all were part of the same genetic clone. In these cases, monitoring the disease by following one of the present LAIPs would be sufficient, or, alternatively, following disease dynamics by molecularly monitoring one of the mutations would accurately show the dynamics of the disease. In other cases, different subclones harbored a different set of mutations. In addition, immunophenotypically normal populations frequently carried mutations, or, inversely, no mutations were found in immunophenotypically clearly aberrant clones. In these cases, following the disease by LAIPs or molecular markers would carry the risk that several subclones would be missed. In case these clones would be relevant for resistance or relapse, using either technique would be at risk to fail to detect MRD positivity. This work underscores that currently available, state-of-the-art immunophotyping and gene panels have added value and should be used simultaneously. We conclude that currently, MRD detection by molecular and immunophenotypic techniques are complementary, and should be used in parallel in order to obtain the most complete view on resistant disease and early detection of relapse. At the same time, both techniques can be further optimized with more monoclonal antibodies and genes that are screened for mutations, in order to increase their resolution. DisclosuresNo relevant conflicts of interest to declare.

Clinical Implications of MiR128, Angiotensin I Converting Enzyme and Vascular Endothelial Growth Factor Gene Abnormalities and Their Association with T2D.

Type 2 DM (T2D) results from the interaction of the genetic and environmental risk factors. Vascular endothelial growth factor (VEGF), angiotensin I-converting enzyme (ACE), and MicroRNAs (MiRNAs) are involved in important physiological processes. Gene variations in VEGF, ACE and MiRNA genes are associated with diseases. In this study we investigated the associations of the VEGF-2578 C/A (rs699947), VEGF-2549 insertion/deletion (I/D), and ACE I/D rs4646994 and Mir128a (rs11888095) gene variations with T2D using the amplification refractory mutation system PCR (ARMS-PCR) and mutation specific PCR (MSP). We screened 122 T2D cases and 126 healthy controls (HCs) for the rs699947, and 133 T2D cases and 133 HCs for the VEGF I/D polymorphism. For the ACE I/D we screened 152 cases and 150 HCs, and we screened 129 cases and 112 HCs for the Mir128a (rs11888095). The results showed that the CA genotype of the VEGF rs699947 and D allele of the VEGF I/D polymorphisms were associated with T2D with OR =2.01, p-value = 0.011, and OR = 2.42, p-value = 0.010, respectively. The result indicated the D allele of the ACE ID was protective against T2D with OR = 0.10, p-value = 0.0001, whereas the TC genotype and the T allele of the Mir128a (rs11888095) were associated with increased risk to T2D with OR = 3.16, p-value = 0.0001, and OR = 1.68, p-value = 0.01, respectively. We conclude that the VEGF (rs699947), VEGF I/D and Mir128a (rs11888095) are potential risk loci for T2D, and that the D allele of the ACE ID polymorphism may be protective against T2D. These results help in identification and stratification for the individuals that at risk for T2D. However, future well-designed studies in different populations and with larger sample sizes are required. Moreover, studies to examine the effects of these polymorphisms on VEGF and ACE proteins are recommended.

Strong Association of Angiotensin Converting Enzyme-2 Gene Insertion/Deletion Polymorphism with Susceptibility to SARS-CoV-2, Hypertension, Coronary Artery Disease and COVID-19 Disease Mortality.

Background: The ongoing outbreak of SARS-CoV-2 represents a significant challenge to international health. Several reports have highlighted the importance of ACE2 on the pathogenesis of COVID-19. The spike protein of SARS-CoV-2 efficiently binds to the angiotensin-converting enzyme 2 (ACE2) receptors and facilitates virus entry into the host cell. In the present study, we hypothesize that a functional insertion/deletion polymorphism-rs4646994 I/D and rs4240157 T > C in the ACE gene could be associated with SARS-CoV-2 infection and mortality. Methodology: This study included 117 consecutive COVID-19 patients and 150 age matched healthy controls (ACE2-rs4646994 I/D) and 100 age matched healthy controls with ACE2 rs4240157 T > C. We used Mutation specific PCR (MSP) for ACE2-rs4646994 I/D genotyping and amplification refractory mutation system (ARMS-PCR) for ACE2 rs4240157 T > C genotyping. Results: Results indicated that there were significant differences in the genotype distributions of ACE2-rs4646994 I/D polymorphisms (p < 0.030) and ACE2 rs4240157 T > C between COVID-19 patients and controls (p-values < 0.05). Higher frequency of DD genotype (48.71%) and D allele (0.67) was reported in COVID-19 patients than controls. Our results showed that the ACE2-DD genotype was strongly associated with increased COVID-19 severity (OR 2.37 (95%) CI = (1.19–4.70), RR = 1.39 (1.09–1.77), p < 0.013) and also a strong association was seen with ACE2-ID genotype with COVID-19 severity (OR 2.20 (95%) CI = (1.08–4.46), p < 0.020) in the codominant model. In allelic comparison, the D allele was strongly associated with COVID-19 severity (OR 1.58 (95% CI) (1.11–2.27), RR 1.21 (1.05–1.41) p < 0.010). A significant correlation of ACE2-I/D genotypes was reported with Age (p < 0.035), T2D (p < 0.0013), hypertension (p < 0.0031) and coronary artery disease (p < 0.0001). Our results indicated ACE2-DD genotype was strongly associated with increased COVID-19 mortality (OR 8.25 (95%) CI = (2.40 to 28.34), p < 0.008) and also ACE2-DD + DI genotype was strongly associated with increased COVID-19 mortality with OR 4.74 (95%) CI = (1.5214 to 14.7915), p < 0.007. A significant correlation was reported between COVID-19 patients and age matched controls (p < 0.0007). Higher frequency of heterozygosity TC (40%) followed by ACE2-CC genotype (24.78%) was reported among COVID-19 patients. Using multivariate analysis, ACE2–CT genotype was strong associated with SARS-CoV-2 severity with an OR 2.18 (95% CI) (1.92–3.99), p < 0.010 and also ACE2–CC genotype was linked with COVID-19 severity with an OR 2.66 (95% CI) (1.53–4.62), p < 0.005. A significant correlation of ACE2-T > C genotypes was reported with gender (p < 0.04), T2D (p < 0.035). ACE2-CC genotype was strongly associated with increased COVID-19 mortality OR 3.66 (95%) CI = (1.34 to 9.97), p < 0.011 and also ACE2-C allele was associated with COVID-19 mortality OR 2, 01 (1.1761–3.45), p < 0.010. Conclusions: It is concluded that ACE-DD genotype and D allele was strongly associated with increased COVID-19 patient severity. In addition, ACE I/D polymorphism were strongly associated with advanced age, diabetes and ischemic heart disease in COVID-19 patients whereas ACE-II genotype was a protective factor against the development of severe COVID-19. ACE2-DD genotype was strongly associated with increased COVID-19 mortality. Additionally, ACE2–CC and CT genotypes were strongly associated with COVID-19 severity. Therefore, our study might be useful for identifying the susceptible population groups for targeted interventions and for making relevant public health policy decisions.

LMD-18. Detection and serial monitoring of CSF ctDNA in breast cancer leptomeningeal disease (BCLM)

BackgroundCSF cytology is the gold standard diagnostic test for BCLM, but is hampered by a low sensitivity, often necessitating repeated lumbar puncture to confirm or refute the diagnosis. Furthermore, during the treatment of BCLM, there is no robust quantitative response tool to guide treatment decisions.Material and MethodscfDNA was obtained from CSF and plasma in patients with breast cancer undergoing investigation for BCLM (n = 28) and during subsequent intrathecal treatment (n = 13). Ultra low pass whole genome sequencing (ulpWGS) and estimation of the ctDNA fraction was performed. Results were validated by mutation-specific digital droplet PCR (ddPCR).Results22/28 cases had confirmed BCLM by positive MRI and/or CSF cytology. The remaining 6/28 had suspected but non-confirmed BCLM, and at median 20 months follow up, these patients were BCLM-free.CSF ctDNA fraction was significantly elevated (median 57.5, IQR 38.3 - 84.9%) in confirmed BCLM compared to 6 non-confirmed BCLM (median 5.0, IQR 0.0 - 6.7%) (p <0.0001). ctDNA fraction was detected in BCLM confirmed cases regardless of negative cytology or MRI. Plasma ctDNA fraction was only detected in extra-cranial disease progression. ctDNA fraction was concordant with mutant allele fraction measured by ddPCR (n = 118 samples).Serial CSF ctDNA fraction during intrathecal treatment showed dynamic changes, while CSF cytology and MRI were often unchanged or equivocal. Early reduction in CSF ctDNA fraction was associated with longer responses to intrathecal therapy. Further, rising ctDNA fraction during intrathecal chemotherapy could be detected up to 6 weeks before relapse in neurological symptoms, cytology or MRI.ConclusionMeasuring CSF ctDNA fraction is a sensitive diagnostic test for BCLM and could lead to more timely and accurate diagnosis. During intrathecal chemotherapy, CSF ctDNA also provides a quantitative response biomarker to help guide clinical management in this difficult treatment scenario.

Dissection of PIK3CA Aberration for Cervical Adenocarcinoma Outcomes.

Simple SummaryThere is limited information about genomic markers, especially for cervical adenocarcinoma treatment decisions. In this prospective study, it was found that nonsynonymous PIK3CA mutation detected in the patient’s circulating DNA collected before treatment or during follow-up was significantly associated with decreased progression-free survival or overall survival. It is the first indication of the predictive power of PIK3CA aberration in cervical adenocarcinoma. The work contributes to the development of liquid biopsies for the prolonged strategy of surveillance and indicates the possibility of tailoring management of this particular women’s cancer.Personalized treatment of genetically stratified subgroups has the potential to improve outcomes in many malignant tumors. This study distills clinically meaningful prognostic/predictive genomic marker for cervical adenocarcinoma using signature genomic aberrations and single-point nonsynonymous mutation-specific droplet digital PCR (ddPCR). Mutations in PIK3CA E542K, E545K, or H1047R were detected in 41.7% of tumors. PIK3CA mutation detected in the patient’s circulating DNA collected before treatment or during follow-up was significantly associated with decreased progression-free survival or overall survival. PIK3CA mutation in the circulating DNA during follow-up after treatment predicted recurrence with 100% sensitivity and 64.29% specificity. It is the first indication of the predictive power of PIK3CA mutations in cervical adenocarcinoma. The work contributes to the development of liquid biopsies for follow up surveillance and a possibility of tailoring management of this particular women’s cancer.

Detection of ABL1 kinase Domain Mutations in Therapy Naive BCR-ABL1 Positive ALL

Background: Mutations in the ABL1 kinase domain are the main mechanism of resistance to tyrosine kinase inhibitors (TKI) in Philadelphia-positive (Ph+) leukemias. In acute lymphoblastic leukemia (ALL), a very early acquisition of mutations can be observed and reports described that mutations may exist already before TKI treatment (Hofmann, Blood, 2003; Pfeifer, Blood, 2007; Soverini, Hematologica, 2011). Initial data came from cloning or mutation-specific PCR assays, which are labor-intensive, do not detect all possible mutations and especially come with the doubt of detecting amplification artefacts. Despite the first description over ten years ago, ABL1 mutation screening is not a standard test for ALL patients before first TKI treatment. Now, the broad availability of highly sensitive next-generation sequencing (NGS) approaches allows overcoming initial limitations.Aim: To screen initial diagnosis samples of 48 BCR-ABL1 positive ALL patients for ABL1 kinase mutations by NGS.Patients and Methods: We investigated the diagnosis samples of 48 BCR-ABL1+ ALL patients (21 females, 27 males) with a median age of 62 (range: 19-85) years. Subsequent treatment data was available for 32 patients. The cohort included both patients, who had received stem cell translation (n=11) and only chemo- and/or TKI treatment protocols (n=21). At diagnosis, median blast count was 77% (12%-99%). RNA for BCR-ABL1 detection and mutation analysis was isolated from bone marrow (n=28) or peripheral blood (n=20). Six amplicons for sequencing on the MiSeq (Illumina, San Diego, CA) covered amino acid 184-510 of ABL1 and were generated from pre-amplified BCR-ABL1 . A 1% detection limit was used for analysis (minimal coverage: 400x). Mutations were proven by duplicates to exclude potential artefacts from random PCR errors.Results: Using NGS, we found well characterized ABL1 kinase domain mutations in three of the 48 (6%) initial diagnosis samples: D276G, T315I and Q252H. The percentage of mutated BCR-ABL1 transcripts were variable and not limited to small clones: D276G: 3% (332/9,725 reads), T315I: 14% (958/6,986 reads) and Q252H: 53% (3,369/7,393 reads with cag>cat, 582/7,393 reads with cag>cac).The Q252H (cag>cat) mutation had expanded to 97% of BCR-ABL1 transcripts at relapse after five months on treatment with standard protocols including imatinib, to which the mutation causes resistance. The T315I and the D276G mutation also cause resistance to TKIs (especially T315I to four TKIs). Both mutations were found in patients, who had received allogeneic stem cell transplantation and achieved complete remission, thus during follow-up there was no indication for mutation analysis. Interestingly, biochemical assays showed increased oncogenic potency or kinase activity for both mutations without TKIs (Piazza,Leukemia, 2005; Skaggs, PNAS, 2006), which would explain the mutation outgrowth before TKI induced selective pressure. We speculate that mutations, which confer resistance but reduce kinase activity, would not outgrow before TKI treatment and therefore only a subset of resistance mutations can exist in therapy naïve patients. The high turnover rate of ALL cells should allow a much faster selection of mutated clones with a relative growth advantage if compared to the situation in chronic myeloid leukemia.Interestingly, all three patients with a mutation at the initial diagnosis had a p190 transcript (3/31 [10%]), while none of the 17 patients with a p210 transcript had a mutation at diagnosis.Of note, in 12 patients we had identified one or two known ABL1 mutations per patient in the later course of TKI treatment as part of routine follow-up. Except for the Q252H mutation, we did not detect any mutation in the diagnosis sample. The relevant bases had a median coverage of 10,341x (4,620x-12,738x), which allows a sensitivity of at least 1%.Conclusions: Known resistance mutations in the ABL1 kinase domain were detected in 3/48 (6%) therapy naïve diagnosis samples in BCR-ABL1 positive ALL. The mutated clone is expected to expand rapidly if treatment with an insensitive TKI would have been chosen. This might be of clinical relevance as TKIs are one important backbone and guarantor of success for improved outcome. Using NGS allows a direct and sensitive (1%) strategy to identify patients at risk of resistance before any TKI therapy is started and to choose the best drug already in first line. DisclosuresBaer:MLL Munich Leukemia Laboratory: Employment. Meggendorfer:MLL Munich Leukemia Laboratory: Employment. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Kern:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership.

High-throughput genotyping of high-homology mutant mouse strains by next-generation sequencing.

Genotyping of knockout alleles in mice is commonly performed by end-point PCR or gene-specific/universal cassette qPCR. Both have advantages and limitations in terms of assay design and interpretation of results. As an alternative method for high-throughput genotyping, we investigated next generation sequencing (NGS) of PCR amplicons, with a focus on CRISPR-mediated exon deletions where antibiotic selection markers are not present. By multiplexing the wild type and mutant-specific PCR reactions, the genotype can be called by the relative sequence counts of each product. The system is highly scalable and can be applied to a variety of different allele types, including those produced by the International Mouse Phenotyping Consortium and associated projects. One potential challenge with any assay design is locating unique areas of the genome, especially when working with gene families or regions of high homology. These can result in misleading or ambiguous genotypes for either qPCR or end-point assays. Here, we show that genotyping by NGS can negate these issues by simple, automated filtering of undesired sequences. Analysis and genotype calls can also be fully automated, using FASTQ or FASTA input files and an in-house Perl script and SQL database.

Abstract A65: Longitudinal detection of TERT-mutant plasma cell-free circulating tumor DNA in newly diagnosed glioblastoma patients

Abstract Introduction: Liquid biopsies, especially plasma cell-free circulating tumor DNA (ctDNA), provide a potential opportunity to be a noninvasive biomarker for the diagnosis and monitoring of glioblastoma (GBM) patients. Previously, we detected TERT promoter hotspot mutations (C228T and C250T) in ctDNA of IDH wild-type (IDHwt) TERT promoter mutant GBM patients with 100% specificity using mutation-specific droplet digital PCR (ddPCR) assays. Here, we examine the association between mutant TERT ctDNA levels and clinical outcomes in newly diagnosed GBM patients undergoing chemoradiation. Methods: We analyzed 76 serially collected plasma samples from 17 patients with suspected IDHwt GBM based on MRI before surgery. Twenty mL of whole blood was collected in EDTA tubes at predetermined times: pre- and postoperatively, at the end of chemoradiation, and 1, 3, and 6 months from the end of chemoradiation. TERT promoter mutations C228T or C250T were identified in FFPE tumor samples using ddPCR assays specific for these mutations. Plasma samples were analyzed for the patient’s tumor TERT mutation using the ddPCR assays. The analytically validated thresholds for positive ctDNA detection were 1.5 and 1.7 copies/mL for C228T and C250T, respectively. Results: Sixteen of 17 (94%) IDHwt tumors had TERT mutations (10 C228T, 6 C250T) with MGMT methylated, unmethylated, or unknown status in 10, 5, and 1, respectively. Fourteen of the 16 patients (87.5%) had detectable mutant ctDNA at one or more time points (range 1.66 to 22.13 copies/mL). Of the 2 patients with undetectable ctDNA, one had diffuse and non-avidly enhancing disease and the other only had pre/postop plasma samples collected. Six patients had detectable ctDNA preop, and most had a dominant rim-enhancing mass with additional nonenhancing or enhancing lesion(s). Ten patients had detectable ctDNA up to 4 days postop, half of whom had undergone gross total resection. For 3 of 5 patients for whom there was a question of pseudoprogression versus true progression, ctDNA kinetics matched the clinical outcome. One patient with MGMT unmethylated multifocal GBM achieved ctDNA zeroconversion at 6 months post radiation (RT), and did not progress for another five months. Another patient was negative at all time points until their 3-month post RT follow-up, at which time they developed a recurrence. Another patient achieved zeroconversion at the end of RT but developed a borderline positive ctDNA at 6 months after RT, 2 months before documented radiographic progression. Conclusions: In this pilot, prospective ctDNA monitoring study of IDHwt GBM, TERT mutant ctDNA was detected at one or more time points in the majority of patients. ctDNA kinetics were associated with clinical outcomes for some patients. These data suggest that additional, larger studies could refine how ctDNA monitoring may be used to enhance the clinical management of IDHwt GBM patients. Citation Format: Christine Cordova, Mahrukh M. Syeda, Broderick Corless, Jennifer M. Wiggins, Amie Patel, Sylvia C. Kurz, Malcolm Delara, Zacharia Sawaged, Minerva Utate, Dimitris Placantonakis, John Golfinos, Jessica Schafrick, Joshua S. Silverman, Rajan Jain, Matija Snuderl, David Zagzag, George Karlin-Neumann, David Polsky, Andrew S. Chi. Longitudinal detection of TERT-mutant plasma cell-free circulating tumor DNA in newly diagnosed glioblastoma patients [abstract]. In: Proceedings of the AACR Special Conference on Advances in Liquid Biopsies; Jan 13-16, 2020; Miami, FL. Philadelphia (PA): AACR; Clin Cancer Res 2020;26(11_Suppl):Abstract nr A65.