Eric Q. Konnick

Somatic Mosaic Mutations in PPM1D and TP53 in the Blood of Women With Ovarian Carcinoma

IMPORTANCE Somatic mosaic mutations in PPM1D have been reported in patients with breast cancer, lung cancer, and ovarian cancer (OC), but cause or effect has not been established. OBSERVATIONS To test the hypothesis that somatic mosaic mutations are associated with chemotherapy exposure, we used massively parallel sequencing to quantitate mutations in peripheral blood mononuclear cells (PBMCs) of 686 women with primary OC (n = 412) or relapsed OC (n = 274). The frequency of somatic mosaic PPM1D mutations in PBMCs was significantly associated with prior chemotherapy (P < .001), and, in patients exposed to chemotherapy, with older age at blood draw (recurrent OC odds ratio [OR], 17.24; 95% CI, 6.80-43.69; and primary OC postchemotherapy OR, 4.82; 95% CI, 1.43-16.18). In contrast, somatic mosaic mutations in TP53 were not significantly associated with chemotherapy or age. In sequential PBMC samples harvested from 13 patients with OC near diagnosis and after a median of 2 different chemotherapy regimens, somatic mosaic PPM1D mutations increased in 11 individuals (84.6%) and TP53 mutations appeared in 2 (15.4%). CONCLUSIONS AND RELEVANCE Chemotherapy exposure and age influence the accumulation of PPM1D-mutated PBMC clones. Care should be taken to control for chemotherapy exposure and age at blood draw when testing the association of somatic mosaic mutations in PBMCs with cancer risk.

Preventing Genetic Testing Order Errors With a Laboratory Utilization Management Program

OBJECTIVES To characterize error rates for genetic test orders between medical specialties and in different settings by examining detailed order information. METHODS We performed a retrospective analysis of a detailed utilization management case database, comprising 2.5 years of data and almost 1,400 genetic test orders. After review by multiple reviewers, we categorized order modifications and cancellations, quantified rates of positive results and order errors, and compared genetics with nongenetics providers and inpatient with outpatient orders. RESULTS High cost or problems with preauthorization were the most common reasons for modification and cancellation, respectively. The cancellation rate for nongenetics providers was three times the rate for geneticists, but abnormal result rates were similar between the two groups. The approval rate for inpatient orders was not significantly lower than outpatient orders, and abnormal result rates were similar for these two groups as well. Order error rates were approximately 8% among tests recommended by genetics providers in the inpatient setting, and tests ordered or recommended by nongeneticists had error rates near 5% in both inpatient and outpatient settings. CONCLUSIONS Clinicians without specialty training in genetics make genetic test order errors at a significantly higher rate than geneticists. A laboratory utilization management program prevents these order errors from becoming diagnostic errors and reaching the patient.

A Phase I Clinical Trial of AZD1775 in Combination with Neoadjuvant Weekly Docetaxel and Cisplatin before Definitive Therapy in Head and Neck Squamous Cell Carcinoma

Purpose: The WEE1 tyrosine kinase regulates G2–M transition and maintains genomic stability, particularly in p53-deficient tumors which require DNA repair after genotoxic therapy. Thus, a need arises to exploit the role of WEE1 inhibition in head and neck squamous cell carcinoma (HNSCC) mostly driven by tumor-suppressor loss. This completed phase I clinical trial represents the first published clinical experience using the WEE1 inhibitor, AZD1775, with cisplatin and docetaxel. Patients and Methods: We implemented an open-label phase I clinical trial using a 3+3 dose-escalation design for patients with stage III/IVB HNSCC with borderline-resectable or -unresectable disease, but who were candidates for definitive chemoradiation. Escalating AZD1775 was administered orally twice a day over 2.5 days on the first week, then in combination with fixed cisplatin (25 mg/m2) and docetaxel (35 mg/m2) for 3 additional weeks. The primary outcome measure was adverse events to establish MTD. Secondary measures included response rates, pharmacokinetics (PK), pharmacodynamics, and genomic data. Results: The MTD for AZD1775 was established at 150 mg orally twice per day for 2.5 days. RECISTv1.1 responses were seen in 5 of 10 patients; histologic adjustment revealed three additional responders. The only drug-limiting toxicity was grade 3 diarrhea. The PK C8hr target of 240 nmol/L was achieved on day 4 at all three doses tested. Pharmacodynamic analysis revealed a reduction in pY15-Cdk, and increases in γH2AX, CC3, and RPA32/RPA2 were noted in responders versus nonresponders. Conclusions: The triplet combination of AZD1775, cisplatin, and docetaxel is safe and tolerable. Preliminary results show promising antitumor efficacy in advanced HNSCC, meriting further investigation at the recommended phase II dose. Clin Cancer Res; 24(12); 2740–8. ©2018 AACR.

Genomic heterogeneity of ALK fusion breakpoints in non-small-cell lung cancer

In lung adenocarcinoma, canonical EML4-ALK inversion results in a fusion protein with a constitutively active ALK kinase domain. Evidence of ALK rearrangement occurs in a minority (2–7%) of lung adenocarcinoma, and only ~60% of these patients will respond to targeted ALK inhibition by drugs such as crizotinib and ceritinib. Clinically, targeted anti-ALK therapy is often initiated based on evidence of an ALK genomic rearrangement detected by fluorescence in situ hybridization (FISH) of interphase cells in formalin-fixed, paraffin-embedded tissue sections. At the genomic level, however, ALK rearrangements are heterogeneous, with multiple potential breakpoints in EML4, and alternate fusion partners. Using next-generation sequencing of DNA and RNA together with ALK immunohistochemistry, we comprehensively characterized genomic breakpoints in 33 FISH-positive lung adenocarcinomas. Of these 33 cases, 29 (88%) had detectable DNA level ALK rearrangements involving EML4, KIF5B, or non-canonical partners including ASXL2, ATP6V1B1, PRKAR1A, and SPDYA. A subset of 12 cases had material available for RNA-Seq. Of these, eight of eight (100%) cases with DNA rearrangements showed ALK fusion transcripts from RNA-Seq; three of four cases (75%) without detectable DNA rearrangements were similarly negative by RNA-Seq, and one case was positive by RNA-Seq but negative by DNA next-generation sequencing. By immunohistochemistry, 17 of 19 (89%) tested cases were clearly positive for ALK protein expression; the remaining cases had no detectable DNA level rearrangement or had a non-canonical rearrangement not predicted to form a fusion protein. Survival analysis of patients treated with targeted ALK inhibitors demonstrates a significant difference in mean survival between patients with next-generation sequencing confirmed EML4-ALK rearrangements, and those without (20.6 months vs 5.4 months, P<0.01). Together, these data demonstrate abundant genomic heterogeneity among ALK-rearranged lung adenocarcinoma, which may account for differences in treatment response with targeted ALK inhibitors.

Microsatellite instability in prostate cancer by PCR or next-generation sequencing

BackgroundMicrosatellite instability (MSI) is now being used as a sole biomarker to guide immunotherapy treatment for men with advanced prostate cancer. Yet current molecular diagnostic tests for MSI have not been evaluated for use in prostate cancer.MethodsWe evaluated two next-generation sequencing (NGS) MSI-detection methods, MSIplus (18 markers) and MSI by Large Panel NGS (> 60 markers), and compared the performance of each NGS method to the most widely used 5-marker MSI-PCR detection system. All methods were evaluated by comparison to targeted whole gene sequencing of DNA mismatch-repair genes, and immunohistochemistry for mismatch repair genes, where available.ResultsIn a set of 91 prostate tumors with known mismatch repair status (29-deficient and 62-intact mismatch-repair) MSIplus had a sensitivity of 96.6% (28/29) and a specificity of 100% (62/62), MSI by Large Panel NGS had a sensitivity of 93.1% (27/29) and a specificity of 98.4% (61/62), and MSI-PCR had a sensitivity of 72.4% (21/29) and a specificity of 100% (62/62).ConclusionsWe found that the widely used 5-marker MSI-PCR panel has inferior sensitivity when applied to prostate cancer and that NGS testing with an expanded panel of markers performs well. In addition, NGS methods offer advantages over MSI-PCR, including no requirement for matched non-tumor tissue and an automated analysis pipeline with quantitative interpretation of MSI-status.

Incidental identification of Strongyloides stercoralis infection by broad-range 28S rDNA gene sequencing in a patient with a hematolymphoid malignancy

Strongyloides stercoralis is an important human parasite, especially in rural areas and developing countries. Infected immunosuppressed patients are at risk for hyperinfection, with severe clinical consequences. Here we describe the incidental detection and diagnosis of an unexpected S. stercoralis infection by methods designed to detect fungal 28S ribosomal DNA.

Existing and Emerging Molecular Technologies in Myeloid Neoplasms

Insight into the genetic aberrations of myeloid neoplasms has been accomplished through the application of evolving technology and laboratory techniques. Techniques that have been employed for decades include karyotype and fluorescent in situ hybridization have been supplemented by methods such as polymerase chain reaction, Sanger sequencing, and deoxyribonucleic acid (DNA) microarrays that have provided additional insight into the genetic underpinnings of myeloid neoplasia. Recent advances in massively parallel sequencing permit unprecedented insight into the genetic abnormalities involved in the neoplastic process. New technologies, such as long-read sequencing technologies, are in development and offer the possibility of real-time sequencing of single molecules that could offer additional insights. Application of these techniques to detect minimal residual disease and single-cell sequencing is offering insight into the disease processes, but the integration of such methods into routine practice is currently unclear. Understanding the nuances of the analytical methods that are used to inform the genetic basis of myeloid neoplasia is critical for interpreting the results of clinical and scientific investigations.

The mutational landscape of recurrent versus nonrecurrent human papillomavirus–related oropharyngeal cancer

BACKGROUND Human papillomavirus-related (HPV-related) oropharyngeal squamous cell carcinomas (OPSCCs) have an excellent response rate to platinum-based chemoradiotherapy. Genomic differences between primary HPV-related OPSCCs that do or do not recur are unknown. Furthermore, it is unclear if HPV-related OPSCCs that recur share a genomic landscape with HPV-negative head and neck cancers (HNCs). METHODS We utilized whole exome sequencing to analyze somatic nucleotide (SNVs) and copy number variants (CNVs) among a unique set of 51 primary HPV-related OPSCCs, including 35 that did not recur and 16 that recurred. We evaluated 12 metachronous recurrent OPSCCs (7 with paired primary OPSCCs) and 33 primary HPV-unrelated oral cavity and OPSCCs. RESULTS KMT2D was the most frequently mutated gene among primary HPV-related OPSCCs (n = 51; 14%) and among metachronous recurrent OPSCCs (n = 12; 42%). Primary HPV-related OPSCCs that recurred shared a genomic landscape with primary HPV-related OPSCCs that did not recur. However, TSC2, BRIP1, NBN, and NFE2L2 mutations occurred in primary OPSCCs that recurred but not in those that did not recur. Moreover, primary HPV-related OPSCCs that recur harbor features of HPV-unrelated HNCs, notably including MAPK, JAK/STAT, and differentiation signaling pathway aberrations. Metachronous recurrent OPSCCs shared a genomic landscape with HPV-unrelated HNCs, including a high frequency of TP53, CASP8, FAT1, HLA-A, AJUBA, and NSD1 genomic alterations. CONCLUSION Overall, primary HPV-related OPSCCs that recur share a genomic landscape with nonrecurrent OPSCCs. Metachronous recurrent OPSCCs share genomic features with HPV-negative HNCs. These data aim to guide future deescalation endeavors and functional experiments. FUNDING This study is supported by the American Cancer Society (RSG TBG-123653), funding support for RAH (T32DC00018, Research Training in Otolaryngology, University of Washington), funds to EM from Seattle Translational Tumor Research (Fred Hutchinson Cancer Research Center), and center funds from the Fred Hutchinson Cancer Research Center to EM. UD is supported by the Department of Veterans Affairs, Biomedical Laboratory Research and Development (BLR&D), grant IO1-oo23456, and funds from the Pittsburgh Foundation and PNC Foundation.

Accurate Pan-Cancer Molecular Diagnosis of Microsatellite Instability by Single-Molecule Molecular Inversion Probe Capture and High-Throughput Sequencing

BACKGROUND Microsatellite instability (MSI) is an emerging actionable phenotype in oncology that informs tumor response to immune checkpoint pathway immunotherapy. However, there remains a need for MSI diagnostics that are low cost, highly accurate, and generalizable across cancer types. We developed a method for targeted high-throughput sequencing of numerous microsatellite loci with pan-cancer informativity for MSI using single-molecule molecular inversion probes (smMIPs). METHODS We designed a smMIP panel targeting 111 loci highly informative for MSI across cancers. We developed an analytical framework taking advantage of smMIP-mediated error correction to specifically and sensitively detect instability events without the need for typing matched normal material. RESULTS Using synthetic DNA mixtures, smMIPs were sensitive to at least 1% MSI-positive cells and were highly consistent across replicates. The fraction of identified unstable microsatellites discriminated tumors exhibiting MSI from those lacking MSI with high accuracy across colorectal (100% diagnostic sensitivity and specificity), prostate (100% diagnostic sensitivity and specificity), and endometrial cancers (95.8% diagnostic sensitivity and 100% specificity). MSI-PCR, the current standard-of-care molecular diagnostic for MSI, proved equally robust for colorectal tumors but evidenced multiple false-negative results in prostate (81.8% diagnostic sensitivity and 100% specificity) and endometrial (75.0% diagnostic sensitivity and 100% specificity) tumors. CONCLUSIONS smMIP capture provides an accurate, diagnostically sensitive, and economical means to diagnose MSI across cancer types without reliance on patient-matched normal material. The assay is readily scalable to large numbers of clinical samples, enables automated and quantitative analysis of microsatellite instability, and is readily standardized across clinical laboratories.

Using Somatic Mutations from Tumors to Classify Variants in Mismatch Repair Genes

Present guidelines for classification of constitutional variants do not incorporate inferences from mutations seen in tumors, even when these are associated with a specific molecular phenotype. When somatic mutations and constitutional mutations lead to the same molecular phenotype, as for the mismatch repair genes, information from somatic mutations may enable interpretation of previously unclassified variants. To test this idea, we first estimated likelihoods that somatic variants in MLH1, MSH2, MSH6, and PMS2 drive microsatellite instability and characteristic IHC staining patterns by calculating likelihoods of high versus low normalized variant read fractions of 153 mutations known to be pathogenic versus those of 760 intronic passenger mutations from 174 paired tumor-normal samples. Mutations that explained the tumor mismatch repair phenotype had likelihood ratio for high variant read fraction of 1.56 (95% CI 1.42-1.71) at sites with no loss of heterozygosity and of 26.5 (95% CI 13.2-53.0) at sites with loss of heterozygosity. Next, we applied these ratios to 165 missense, synonymous, and splice variants observed in tumors, combining in a Bayesian analysis the likelihood ratio corresponding with the adjusted variant read fraction with pretest probabilities derived from published analyses and public databases. We suggest classifications for 86 of 165 variants: 7 benign, 31 likely benign, 22 likely pathogenic, and 26 pathogenic. These results illustrate that for mismatch repair genes, characterization of tumor mutations permits tumor mutation data to inform constitutional variant classification. We suggest modifications to incorporate molecular phenotype in future variant classification guidelines.