Geoffrey H. Smith

Clinical Validation and Implementation of a Targeted Next-Generation Sequencing Assay to Detect Somatic Variants in Non-Small Cell Lung, Melanoma, and Gastrointestinal Malignancies

We tested and clinically validated a targeted next-generation sequencing (NGS) mutation panel using 80 formalin-fixed, paraffin-embedded (FFPE) tumor samples. Forty non-small cell lung carcinoma (NSCLC), 30 melanoma, and 30 gastrointestinal (12 colonic, 10 gastric, and 8 pancreatic adenocarcinoma) FFPE samples were selected from laboratory archives. After appropriate specimen and nucleic acid quality control, 80 NGS libraries were prepared using the Illumina TruSight tumor (TST) kit and sequenced on the Illumina MiSeq. Sequence alignment, variant calling, and sequencing quality control were performed using vendor software and laboratory-developed analysis workflows. TST generated ≥500× coverage for 98.4% of the 13,952 targeted bases. Reproducible and accurate variant calling was achieved at ≥5% variant allele frequency with 8 to 12 multiplexed samples per MiSeq flow cell. TST detected 112 variants overall, and confirmed all known single-nucleotide variants (n = 27), deletions (n = 5), insertions (n = 3), and multinucleotide variants (n = 3). TST detected at least one variant in 85.0% (68/80), and two or more variants in 36.2% (29/80), of samples. TP53 was the most frequently mutated gene in NSCLC (13 variants; 13/32 samples), gastrointestinal malignancies (15 variants; 13/25 samples), and overall (30 variants; 28/80 samples). BRAF mutations were most common in melanoma (nine variants; 9/23 samples). Clinically relevant NGS data can be obtained from routine clinical FFPE solid tumor specimens using TST, benchtop instruments, and vendor-supplied bioinformatics pipelines.

Multi-Institutional FASTQ File Exchange as a Means of Proficiency Testing for Next-Generation Sequencing Bioinformatics and Variant Interpretation

Next-generation sequencing is becoming increasingly common in clinical laboratories worldwide and is revolutionizing clinical molecular testing. However, the large amounts of raw data produced by next-generation sequencing assays and the need for complex bioinformatics analyses present unique challenges. Proficiency testing in clinical laboratories has traditionally been designed to evaluate assays in their entirety; however, it can be alternatively applied to separate assay components. We developed and implemented a multi-institutional proficiency testing approach to directly assess custom bioinformatics and variant interpretation processes. Six clinical laboratories, all of which use the same commercial library preparation kit for next-generation sequencing analysis of tumor specimens, each submitted raw data (FASTQ files) from four samples. These 24 file sets were then deidentified and redistributed to five of the institutions for analysis and interpretation according to their clinically validated approach. Among the laboratories, there was a high rate of concordance in the calling of single-nucleotide variants, in particular those we considered clinically significant (100% concordance). However, there was significant discordance in the calling of clinically significant insertions/deletions, with only two of seven being called by all participating laboratories. Missed calls were addressed by each laboratory to improve their bioinformatics processes. Thus, through our alternative proficiency testing approach, we identified the bioinformatic detection of insertions/deletions as an area of particular concern for clinical laboratories performing next-generation sequencing testing.

Whole Slide Imaging for Analytical Anatomic Pathology and Telepathology: Practical Applications Today, Promises, and Perils

Whole slide imaging (WSI) offers a convenient, tractable platform for measuring features of routine and special-stain histology or in immunohistochemistry staining by using digital image analysis (IA). We now routinely use IA for quantitative and qualitative analysis of theranostic markers such as human epidermal growth factor 2 (HER2/neu), estrogen and progesterone receptors, and Ki-67. Quantitative IA requires extensive validation, however, and may not always be the best approach, with pancreatic neuroendocrine tumors being one example in which a semiautomated approach may be preferable for patient care. We find that IA has great utility for objective assessment of gastrointestinal tract dysplasia, microvessel density in hepatocellular carcinoma, hepatic fibrosis and steatosis, renal fibrosis, and general quality analysis/quality control, although the applications of these to daily practice are still in development. Collaborations with bioinformatics specialists have explored novel applications to gliomas, including in silico approaches for mining histologic data and correlating with molecular and radiologic findings. We and many others are using WSI for rapid, remote-access slide reviews (telepathology), though technical factors currently limit its utility for routine, high-volume diagnostics. In our experience, the greatest current practical impact of WSI lies in facilitating long-term storage and retrieval of images while obviating the need to keep slides on site. Once the existing barriers of capital cost, validation, operator training, software design, and storage/back-up concerns are overcome, these technologies appear destined to be a cornerstone of precision medicine and personalized patient care, and to become a routine part of pathology practice.

Targeting adhesion signaling in KRAS, LKB1 mutant lung adenocarcinoma

Loss of LKB1 activity is prevalent in KRAS mutant lung adenocarcinoma and promotes aggressive and treatment-resistant tumors. Previous studies have shown that LKB1 is a negative regulator of the focal adhesion kinase (FAK), but in vivo studies testing the efficacy of FAK inhibition in LKB1 mutant cancers are lacking. Here, we took a pharmacologic approach to show that FAK inhibition is an effective early-treatment strategy for this high-risk molecular subtype. We established a lenti-Cre-induced Kras and Lkb1 mutant genetically engineered mouse model (KLLenti) that develops 100% lung adenocarcinoma and showed that high spatiotemporal FAK activation occurs in collective invasive cells that are surrounded by high levels of collagen. Modeling invasion in 3D, loss of Lkb1, but not p53, was sufficient to drive collective invasion and collagen alignment that was highly sensitive to FAK inhibition. Treatment of early, stage-matched KLLenti tumors with FAK inhibitor monotherapy resulted in a striking effect on tumor progression, invasion, and tumor-associated collagen. Chronic treatment extended survival and impeded local lymph node spread. Lastly, we identified focally upregulated FAK and collagen-associated collective invasion in KRAS and LKB1 comutated human lung adenocarcinoma patients. Our results suggest that patients with LKB1 mutant tumors should be stratified for early treatment with FAK inhibitors.

Validation of a Customized Bioinformatics Pipeline for a Clinical Next-Generation Sequencing Test Targeting Solid Tumor–Associated Variants

Bioinformatic analysis is an integral and critical part of clinical next-generation sequencing. It is especially challenging for some pipelines to consistently identify insertions and deletions. We present the validation of an open source tumor amplicon pipeline (OTA-pipeline) for clinical next-generation sequencing targeting solid tumor-associated variants. Raw data generated from 557 TruSight Tumor 26 samples and in silico data were analyzed by the OTA-pipeline and legacy pipeline and compared. Discrepant results were confirmed by orthogonal methods. The OTA-pipeline reported 22 variants that were not detected by the previously validated pipeline, including seven synonymous or intronic single-nucleotide variants, five single-nucleotide variants at frequency <5%, one insertion, and nine deletions. Variant allele frequencies reported by the two pipelines were highly concordant, although a few significant discrepancies were present. Analysis of in silico FASTQ files demonstrated a higher sensitivity of detecting complex insertions and deletions with the OTA-pipeline. The higher sensitivity came at a cost, because false-positive calls were increased in difficult-to-sequence regions. However, these calls were all flagged by our strand bias filter, distinguishing them from true variants. Our validation process provides a model for laboratories that want to establish an in-house bioinformatics pipeline for clinical next-generation sequencing.

Is a 500-Cell Count Necessary for Bone Marrow Differentials?A Proposed Analytical Method for Validating a Lower Cutoff

Objectives By convention, 500 cells are counted for bone marrow aspirate differentials. Evidence supporting such a cutoff is lacking. We hypothesized that 300-cell counts could be sufficient. Methods Cell count results from 165 cases, for which values were recorded at 300 and 500 cells, were analyzed. We tested for statistical differences and changes in diagnostic classification between the two cutoffs. Results Three hundred cell counts did not produce diagnostically different results, particularly for myeloblasts and plasma cells, where cell percentages are critical for disease classification. Method comparison analysis did not reach statistical significance for any cell type when comparing the two methods. Bias plots showed narrow, even spread about the mean bias. Contingency table analysis yielded no significant diagnostic discrepancies. Conclusions Performing differential counts on 300 cells would produce clinically and statistically similar results to 500 cells. Reducing the cell number counted has potential cost/labor reductions without affecting quality of care.

Abstract LB-348: Developing a personalized anti-metastatic therapy to treat KRAS, LKB1-mutant lung adenocarcinoma

LKB1 is the 2rd most commonly mutated tumor suppressor gene in human lung adenocarcinoma, is commonly co-mutated with KRAS, and leads to more aggressive, treatment-resistant tumors in mouse models. The identification of druggable signaling molecules that result from specific alterations in LKB1 could result in a personalized clinical strategy to target this high-risk patient population. We have previously published that LKB1 acts to limit focal adhesion kinase (FAK) activity in human lung cancer cells to restrict cell adhesion and migration. Based on our prior published data we hypothesize that FAK pathway inhibition will suppress invasion and metastasis in LKB1-mutant tumors in vivo. To investigate our hypothesis, we have designed the first rolling-enrollment pre-clinical mouse trial to target invasion and metastasis using a small-molecule FAK inhibitor. To enroll mice with early-stage lung adenocarcinoma, we developed a novel lentiviral-Cre induced KrasG12D; Lkb1fl/fl genetically engineered mouse model (GEMM) (KLLLenti) that develops 100% adenocarcinomas, expresses a luciferase reporter gene, and has elevated levels of active FAK in late stage invasive tumors. Importantly, short-term treatment of KLLLenti mice with a pharmacologic FAK inhibitor potently suppresses the invasive progression of primary tumors. Moreover, long-term treatment results in improved progression-free survival, and delays metastatic spread to the lymph nodes. We further pursue mechanistic studies to investigate how LKB1-mutant tumor tissue gains a metastatic advantage in vivo, and using a combination of 3D tumor spheroid assays, and multiphoton microscopy, present results that LKB1-mutant tumors use a unique form of hybrid invasion that relies both on cell:cell and cell-matrix adhesion, and in doing so, are equipped to more efficiently invade into the collagen-dense microenvironment of the lung. We will also present data that similar molecular and cell biologic phenotypes can be found in a subset of KRAS, LKB1-mutant human clinical samples. Our studies suggest that when used early, FAK inhibitors may be a viable clinical strategy to prevent or delay metastasis in the KRAS, LKB1-mutant patient population, and begin to define alternate escape pathways by which this highly invasive cell population may escape first-line therapy. Citation Format: Melissa Gilbert-Ross, Jessica Konen, Junghui Koo, John Shupe, Gabriel L. Sica, Zhengjia Chen, Brian S. Robinson, Madhusmita Behera, Michael R. Rossi, Geoffrey H. Smith, Charles E. Hill, Suresh M. Ramalingam, Haian Fu, Fadlo R. Khuri, Wei Zhou, Adam Marcus. Developing a personalized anti-metastatic therapy to treat KRAS, LKB1-mutant lung adenocarcinoma. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr LB-348.

Introduction: Molecular genomics of cancer: Linking diagnostic testing and clinical therapy

For many physicians, genetic testing in any form falls within the category of esoteric testing. The concept that gene mutations or copy number abnormalities are only understood by a limited number of specialists, and that the data may only be relevant within the context of rare disease, is prevalent throughout many medical practices. In light of the most recent data from both the bench and the bedside, this mindset is woefully antiquated in oncology. Moving forward, a clear understanding of the utility of multi-gene molecular testing in informing the diagnosis and treatment of cancer patients within specific disease subtypes is essential for improving outcomes. Due to the vast breadth of medical education, physician exposure to advanced molecular technologies and applications is often limited. Organizations like the National Coalition for Health Care Professional Education in Genetics and other groups tasked with the goal of educating health care professionals have been poorly funded and unable to expand content to the understanding of somatic cancer mutations. This review has been written with the intent of serving as a general primer for clinical oncologists and pathologists alike, who are entrusted with providing the highest standard of care to their patients. This review highlights key advances in genomic medicine in solid tumors, central nervous system neoplasia, and hematologic malignancies with a particular emphasis on diagnostic testing and clinical reporting. Nucleic acid is the input for all genomic testing, thus it is the opinion of these authors that practical implementation of genomic medicine requires institutional revisions to traditional approaches of pathologic diagnoses and specimen handling. Particular emphasis is required to integrate both specimen and molecular data, and the willingness to interpret complex data sets in their entirety, rather than as a series of individual tests, data sets, or abnormalities. Advances in genetics and genomics technologies have demonstrated a lag of nearly a decade from the time of discovery of a new technological advancement such as fluorescence in situ hybridization, microarray, or next generation sequencing to widespread clinical use. It is uncertain what technologies will surpass next generation sequencing, but for now, it is clear that