Anthony N. Sireci

Implementation of next generation sequencing into pediatric hematology-oncology practice: moving beyond actionable alterations

BackgroundMolecular characterization has the potential to advance the management of pediatric cancer and high-risk hematologic disease. The clinical integration of genome sequencing into standard clinical practice has been limited and the potential utility of genome sequencing to identify clinically impactful information beyond targetable alterations has been underestimated.MethodsThe Precision in Pediatric Sequencing (PIPseq) Program at Columbia University Medical Center instituted prospective clinical next generation sequencing (NGS) for pediatric cancer and hematologic disorders at risk for treatment failure. We performed cancer whole exome sequencing (WES) of patient-matched tumor-normal samples and RNA sequencing (RNA-seq) of tumor to identify sequence variants, fusion transcripts, relative gene expression, and copy number variation (CNV). A directed cancer gene panel assay was used when sample adequacy was a concern. Constitutional WES of patients and parents was performed when a constitutionally encoded disease was suspected. Results were initially reviewed by a molecular pathologist and subsequently by a multi-disciplinary molecular tumor board. Clinical reports were issued to the ordering physician and posted to the patient’s electronic medical record.ResultsNGS was performed on tumor and/or normal tissue from 101 high-risk pediatric patients. Potentially actionable alterations were identified in 38% of patients, of which only 16% subsequently received matched therapy. In an additional 38% of patients, the genomic data provided clinically relevant information of diagnostic, prognostic, or pharmacogenomic significance. RNA-seq was clinically impactful in 37/65 patients (57%) providing diagnostic and/or prognostic information for 17 patients (26%) and identified therapeutic targets in 15 patients (23%). Known or likely pathogenic germline alterations were discovered in 18/90 patients (20%) with 14% having germline alternations in cancer predisposition genes. American College of Medical Genetics (ACMG) secondary findings were identified in six patients.ConclusionsOur results demonstrate the feasibility of incorporating clinical NGS into pediatric hematology-oncology practice. Beyond the identification of actionable alterations, the ability to avoid ineffective/inappropriate therapies, make a definitive diagnosis, and identify pharmacogenomic modifiers is clinically impactful. Taking a more inclusive view of potential clinical utility, 66% of cases tested through our program had clinically impactful findings and samples interrogated with both WES and RNA-seq resulted in data that impacted clinical decisions in 75% of cases.

Aberrant T-cell antigen expression in B lymphoblastic leukaemia

B lymphoblastic leukaemia (B‐ALL) cells are characterized by the expression of various B‐cell antigens. Expression of T/Natural Killer‐cell antigens, however, has rarely been reported in B‐ALL (TAg+ B‐ALL), and the significance of this aberrant antigen expression is unclear. We thus analysed the frequency of TAg+ B‐ALL at our institution and investigated its significance in the context of immunophenotypes, cytogenetic/molecular findings, and prognosis. We reviewed 134 consecutive cases of B‐ALL and found 18 cases (13·4%) of TAg+ B‐ALL. The most common aberrant T‐cell antigens expressed were CD2, CD5, and CD7 at equivalent rates (each in six cases), CD4 (two cases), and CD56 (three cases). Adverse cytogenetic abnormalities were seen in a significantly larger proportion of the TAg+ cases (72·2%) than the TAg− cases (32·2%; P = 0·003). Multivariate Cox‐regression analysis showed that the risk of relapse over time was higher in the TAg+ cases, independent of high risk status (based on age and white blood cell count) and the presence of adverse cytogenetic abnormalities (hazard ratio = 2·256, P = 0·065). These findings suggest that T‐cell antigen expression in B‐ALL may be an independent predictor of poor prognosis, and a useful marker to identify patients at increased risk for relapse and for harbouring adverse cytogenetic abnormalities.

Early T-cell precursor leukemia/lymphoma in adults and children

Early T-cell precursor-ALL (ETP-ALL) is a subtype of T-ALL with a poor prognosis in children. We analyzed ETP-ALL compared to conventional T-ALL/LBL in both adults and children to determine any differences in clinical outcomes, based on the following parameters: induction failure, relapse, and survival. Patients with ETP-ALL have a higher risk of relapse, especially in children (in all patients, HR=4.08, p=0.127, and children, HR=11.63, p=0.025). ETP-ALL seems to have an increased risk of adverse outcomes, particularly in children. Larger studies are needed to better determine the prognosis of this subtype of T-ALL.

A Method for Optimizing and Validating Institution-Specific Flagging Criteria for Automated Cell Counters

CONTEXT Automated cell counters use alerts (flags) to indicate which differential white blood cell counts can be released directly from the instrument and which samples require labor-intensive slide reviews. The thresholds at which many of these flags are triggered can be adjusted by individual laboratories. Many users, however, use factory-default settings or adjust the thresholds through a process of trial and error. OBJECTIVE To develop a systematic method, combining statistical analysis and clinical judgment, to optimize the flagging thresholds on automated cell counters. DESIGN Data from 502 samples flagged by Sysmex XE-2100/5000 (Sysmex, Kobe, Japan) instruments, with at least 1 of 5 user-adjustable, white blood cell count flags, were used to change the flagging thresholds for maximal diagnostic effectiveness by optimizing the Youden index for each flag (the optimization set). The optimized thresholds were then validated with a second set of 378 samples (the validation set). RESULTS Use of the new thresholds reduced the review rate caused by the 5 flags from 6.5% to 2.9% and improved the positive predictive value of the flagging system for any abnormality from 27% to 37%. CONCLUSIONS This method can be used to optimize thresholds for flag alerts on automated cell counters of any type and to improve the overall positive predictive value of the flagging system at the expense of a reduction in the negative predictive value. A reduced manual review rate helps to focus resources on differential white blood cell counts that are of clinical significance and may improve turnaround time.

Short-chain 3-hydroxyacyl-coenzyme A dehydrogenase associates with a protein super-complex integrating multiple metabolic pathways.

Proteins involved in mitochondrial metabolic pathways engage in functionally relevant multi-enzyme complexes. We previously described an interaction between short-chain 3-hydroxyacyl-coenzyme A dehydrogenase (SCHAD) and glutamate dehydrogenase (GDH) explaining the clinical phenotype of hyperinsulinism in SCHAD-deficient patients and adding SCHAD to the list of mitochondrial proteins capable of forming functional, multi-pathway complexes. In this work, we provide evidence of SCHADs involvement in additional interactions forming tissue-specific metabolic super complexes involving both membrane-associated and matrix-dwelling enzymes and spanning multiple metabolic pathways. As an example, in murine liver, we find SCHAD interaction with aspartate transaminase (AST) and GDH from amino acid metabolic pathways, carbamoyl phosphate synthase I (CPS-1) from ureagenesis, other fatty acid oxidation and ketogenesis enzymes and fructose-bisphosphate aldolase, an extra-mitochondrial enzyme of the glycolytic pathway. Most of the interactions appear to be independent of SCHADs role in the penultimate step of fatty acid oxidation suggesting an organizational, structural or non-enzymatic role for the SCHAD protein.

Cost-Effectiveness Analysis of Plasma Versus Recombinant Factor VIIa for Placing Intracranial Pressure Monitors in Pretransplant Patients With Acute Liver Failure

Both plasma- and recombinant activated factor VII (rFVIIa)-based algorithms can be used to correct coagulopathy in preliver transplant patients with acute liver failure requiring intracranial pressure monitor (ICPM) placement. A decision model was created to compare the cost-effectiveness of these methods. A 70-kg patient could receive either 1 round of plasma followed by coagulation testing or 2 units of plasma and 40 μg/kg rFVIIa. Intracranial pressure monitor is placed without coagulation testing after rFVIIa administration. In the plasma algorithm, the probability of ICPM placement was estimated based on expected international normalized ratio (INR) after plasma administration. Risks of rFVIIa thrombosis and transfusion reactions were also included. The model was run for patients with INRs ranging from 2 to 6 with concomitant adjustments to model parameters. The model supported the initial use of rFVIIa for ICPM placement as a cost-effective treatment when INR ≥2 (with incremental cost-effectiveness ratio of at most US

Clinical Genomic Profiling of a Diverse Array of Oncology Specimens at a Large Academic Cancer Center: Identification of Targetable Variants and Experience with Reimbursement

7088.02).

The history and impact of molecular coding changes on coverage and reimbursement of molecular diagnostic tests: transition from stacking codes to the current molecular code set including genomic sequencing procedures

Large cancer panels are being increasingly used in the practice of precision medicine to generate genomic profiles of tumors with the goal of identifying targetable variants and guiding eligibility for clinical trials. To facilitate identification of mutations in a broad range of solid and hematological malignancies, a 467-gene oncology panel (Columbia Combined Cancer Panel) was developed in collaboration with pathologists and oncologists and is currently available and in use for clinical diagnostics. Herein, we share our experience with this testing in an academic medical center. Of 255 submitted specimens, which encompassed a diverse range of tumor types, we were able to successfully sequence 92%. The Columbia Combined Cancer Panel assay led to the detection of a targetable variant in 48.7% of cases. However, although we show good clinical performance and diagnostic yield, third-party reimbursement has been poor. Reimbursement from government and third-party payers using the 81455 Current Procedural Terminology code was at 19.4% of billed costs, and 55% of cases were rejected on first submission. Likely contributing factors to this low level of reimbursement are the delays in valuation of the 81455 Current Procedural Terminology code and in establishing national or local coverage determinations. In the absence of additional demonstrations of clinical utility and improved patient outcomes, we expect the reimbursement environment will continue to limit the availability of this testing more broadly.

Precision Medicine in Children and Young Adults with Hematologic Malignancies and Blood Disorders: The Columbia University Experience

Changes in coding and coverage generate an uncertain reimbursement environment for molecular pathology laboratories. We analyzed our experience with two representative molecular oncology tests: a T-cell receptor (TCR) β rearrangement test and a large (467-gene) cancer next-generation sequencing panel, the Columbia Combined Cancer Panel (CCCP). Before 2013, the TCR β test was coded using stacked current procedural terminology codes and subsequently transitioned to a tier 1 code. CCCP was coded using a combination of tier 1 and 2 codes until 2015, when a new Genomic Sequencing Procedure code was adopted. A decrease in reimbursement of 61% was observed for the TCR β test on moving from stacking to tier 1 codes. No initial increase in total rejection rate was observed, but a subsequent increase in rejection rates in 2015 and 2016 was noted. The CCCP test showed a similar decrease (48%) in reimbursement after adoption of the new Genomic Sequencing Procedure code and was accompanied by a sharp increase in rejection rates both on implementation of the new code and over time. Changes in coding can result in substantial decreases in reimbursement. This may be a barrier to patient access because of the high cost of molecular diagnostics. Revisions to the molecular code set will continue. These findings help laboratories and manufacturers prepare for the financial impact and advocate appropriately.

Hematology Testing in Urgent Care and Resource-Poor Settings : An Overview of Point of Care and Satellite Testing

Background The advent of comprehensive genomic profiling has markedly advanced the understanding of the biology of pediatric hematological malignancies, however, its application to clinical care is still unclear. We present our experience integrating genomic data into the clinical management of children with high-risk hematologic malignancies and blood disorders and describe the broad impact that genomic profiling has in multiple aspects of patient care. Methods The Precision in Pediatric Sequencing Program at Columbia University Medical Center instituted prospective clinical next-generation sequencing (NGS) for high-risk malignancies and blood disorders. Testing included cancer whole exome sequencing (WES) of matched tumor-normal samples or targeted sequencing of 467 cancer-associated genes, when sample adequacy was a concern, and tumor transcriptome (RNA-seq). A multidisciplinary molecular tumor board conducted interpretation of results and final tiered reports were transmitted to the electronic medical record according to patient preferences. Results Sixty-nine samples from 56 patients with high-risk hematologic malignancies and blood disorders were sequenced. Patients carried diagnoses of myeloid malignancy (n = 25), lymphoid malignancy (n = 25), or histiocytic disorder (n = 6). Six patients had only constitutional WES, performed for a suspicion of an inherited predisposition for their disease. For the remaining 50 patients, tumor was sequenced with matched normal tissue when available. The mean number of somatic variants per sample was low across the different disease categories (2.85 variants/sample). Interestingly, a gene fusion was identified by RNA-seq in 58% of samples who had adequate RNA available for testing. Molecular profiling of tumor tissue led to clinically impactful findings in 90% of patients. Forty patients (80%) had at least one targetable gene variant or fusion identified in their tumor tissue; however, only seven received targeted therapy. Importantly, NGS findings contributed to the refinement of diagnosis and prognosis for 34% of patients. Known or likely pathogenic germline alterations were discovered in 24% of patients involving cancer predisposition genes in 12% of cases. Conclusion Incorporating whole exome and transcriptome profiling of tumor and normal tissue into clinical practice is feasible, and the value that comprehensive testing provides extends beyond the ability to target-specific mutations.