Development and Validation of StrataNGS, a Multiplex PCR, Semiconductor Sequencing-Based Comprehensive Genomic Profiling Test

Despite widespread use in targeted tumor testing, multiplex PCR/semiconductor (Ion Torrent) sequencing-based assessment of all comprehensive genomic profiling (CGP) variant classes has been limited. Herein, we describe the development and validation of StrataNGS, a 429-gene, multiplex PCR/semiconductor sequencing-based CGP laboratory-developed test performed on co-isolated DNA and RNA from formalin-fixed, paraffin-embedded tumor specimens with ≥2 mm² tumor surface area. Validation was performed in accordance with MolDX CGP validation guidelines using 1986 clinical formalin-fixed, paraffin-embedded samples and an in-house developed optimized bioinformatics pipeline. Across CGP variant classes, accuracy ranged from 0.945 for tumor mutational burden (TMB) status to >0.999 for mutations and gene fusions, positive predictive value ranged from 0.915 for TMB status to 1.00 for gene fusions, and reproducibility ranged from 0.998 for copy number alterations to 1.00 for splice variants and insertions/deletions. StrataNGS TMB estimates were highly correlated to those from whole exome- or FoundationOne CDx-determined TMB (Pearson r = 0.998 and 0.960, respectively); TMB reproducibility was 0.996 (concordance correlation coefficient). Limit of detection for all variant classes was <20% tumor content. Together, we demonstrate that multiplex PCR/semiconductor sequencing-based tumor tissue CGP is feasible using optimized bioinformatic approaches described herein.

Real-World Performance of a Comprehensive Genomic Profiling Test Optimized for Small Tumor Samples

PURPOSE

Tissue-based comprehensive genomic profiling (CGP) is increasingly used for treatment selection in patients with advanced cancer; however, tissue availability may limit widespread implementation. Here, we established real-world CGP tissue availability and assessed CGP performance on consecutively received samples.

MATERIALS AND METHODS

We conducted a post hoc, nonprespecified analysis of 32,048 consecutive tumor tissue samples received for StrataNGS, a multiplex polymerase chain reaction (PCR)-based comprehensive genomic profiling (PCR-CGP) test, as part of an ongoing observational trial (NCT03061305). Sample characteristics and PCR-CGP performance were assessed across all tested samples, including exception samples not meeting minimum input quality control (QC) requirements (< 20% tumor content [TC], < 2 mm2 tumor surface area [TSA], DNA or RNA yield < 1 ng/µL, or specimen age > 5 years). Tests reporting ≥ 1 prioritized alteration or meeting TC and sequencing QC were considered successful. For prostate carcinoma and lung adenocarcinoma, tests reporting ≥ 1 actionable or informative alteration or meeting TC and sequencing QC were considered actionable.

RESULTS

Among 31,165 (97.2%) samples where PCR-CGP was attempted, 10.7% had < 20% TC and 59.2% were small (< 25 mm2 tumor surface area). Of 31,101 samples evaluable for input requirements, 8,089 (26.0%) were exceptions not meeting requirements. However, 94.2% of the 31,101 tested samples were successfully reported, including 80.5% of exception samples. Positive predictive value of PCR-CGP for ERBB2 amplification in exceptions and/or sequencing QC-failure breast cancer samples was 96.7%. Importantly, 84.0% of tested prostate carcinomas and 87.9% of lung adenocarcinomas yielded results informing treatment selection.

CONCLUSION

Most real-world tissue samples from patients with advanced cancer desiring CGP are limited, requiring optimized CGP approaches to produce meaningful results. An optimized PCR-CGP test, coupled with an inclusive exception testing policy, delivered reportable results for > 94% of samples, potentially expanding the proportion of CGP-testable patients and impact of biomarker-guided therapies.

PCR-based comprehensive genomic profiling (PCR-CGP): Feasibility from >20,000 tumor tissue specimens (TTS) and predicted impact on actionable biomarker identification versus hybrid capture (H)-CGP and plasma (P)-CGP

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Background: Tissue-based h-CGP is increasingly utilized for treatment selection in patients with advanced solid tumors but has high tumor surface area [TSA] requirements (≥25mm2 for leading commercial tests). P-CGP is recommended when tissue is insufficient for H-CGP. Here we assessed the feasibility and clinical impact on actionable biomarker identification of PCR-CGP. Methods: We performed a post-hoc, non-prespecified analysis on 21,743 consecutive subjects with advanced solid tumors who sent TTS for PCR-CGP from 5/17-12/19 as part of an ongoing observational trial at > 20 U.S. health systems (NCT03061305). PCR-CGP was performed using StrataNGS, a single-site laboratory developed test assessing all CGP biomarker classes (including microsatellite instability (MSI) status and tumor mutation burden [TMB]). We predicted actionable biomarker identification rates for PCR-CGP, H-CGP and P-CGP if applied to all U.S. patients with advanced solid tumors through incorporating population incidence, biomarker frequencies, test TSA and tumor content requirements (or cfDNA detection rates), and performance characteristics. Actionable biomarkers were the 30 in 11 tumor types from the MolDX p-CGP local coverage determination (L38043), pan-tumor NTRK fusions and MSI, and TMB in lung cancer. Results: Among TTS from 21,734 patients with advanced cancer, 20,493 (94.3%) met TSA requirements for PCR-CGP (≥2mm2) vs. 9,281 (42.7%) for H-CGP. PCR-CGP reported results for 98.0% and 95.0% of patients with large (≥25mm2 TSA) and small (2-24mm2) TS, respectively, in a median of 7 business days. Compared to 1,882 orthogonal actionable biomarker results, PCR-CGP accuracy was 96.6% and 96.5% in large and small TTS, respectively. Actionable biomarker frequency was highly correlated in PCR-CGP tested large vs. small TTS (r2= 0.99), as well as in this PCR-CGP cohort vs. a MSKCC institutional pan-cancer H-CGP cohort (r2= 0.92). If applied to all U.S. patients with advanced solid tumors, PCR-CGP has significantly greater predicted actionable biomarker identification rate (88.5%) compared to P-CGP (77.0%, N-1 chi-squared test, p < 0.0001) or H-CGP (54.3%, p < 0.0001). Conclusions: Half of TTS submitted for PCR-CGP did not meet H-CGP tissue requirements. PCR-CGP is feasible for the vast majority of patients and is predicted to expand the actionable biomarker evaluable proportion of patients with advanced solid tumors compared to H-CGP or P-CGP. Clinical trial information: NCT03061305 .

Fast tandem mass spectra-based protein identification regardless of the number of spectra or potential modifications examined

MOTIVATION

Comparing tandem mass spectra (MSMS) against a known dataset of protein sequences is a common method for identifying unknown proteins; however, the processing of MSMS by current software often limits certain applications, including comprehensive coverage of post-translational modifications, non-specific searches and real-time searches to allow result-dependent instrument control. This problem deserves attention as new mass spectrometers provide the ability for higher throughput and as known protein datasets rapidly grow in size. New software algorithms need to be devised in order to address the performance issues of conventional MSMS protein dataset-based protein identification.

METHODS

This paper describes a novel algorithm based on converting a collection of monoisotopic, centroided spectra to a new data structure, named 'peptide finite state machine' (PFSM), which may be used to rapidly search a known dataset of protein sequences, regardless of the number of spectra searched or the number of potential modifications examined. The algorithm is verified using a set of commercially available tryptic digest protein standards analyzed using an ABI 4700 MALDI TOFTOF mass spectrometer, and a free, open source PFSM implementation. It is illustrated that a PFSM can accurately search large collections of spectra against large datasets of protein sequences (e.g. NCBI nr) using a regular desktop PC; however, this paper only details the method for identifying peptide and subsequently protein candidates from a dataset of known protein sequences. The concept of using a PFSM as a peptide pre-screening technique for MSMS-based search engines is validated by using PFSM with Mascot and XTandem.

AVAILABILITY

Complete source code, documentation and examples for the reference PFSM implementation are freely available at the Proteome Commons, http://www.proteomecommons.org and source code may be used both commercially and non-commercially as long as the original authors are credited for their work.

Tissue-specific cytokine production during experimental acute pancreatitis. A probable mechanism for distant organ dysfunction

Our purpose was to determine if cytokines are produced systemically during acute pancreatitis. Proinflammatory cytokines are elevated during acute pancreatitis and have been implicated in the progression of pancreatitis-associated multiple organ dysfunction. Whether these mediators are produced within all tissues or very few specific organs is not known. Edematous pancreatitis was induced in adult male mice by IP injection of cerulein. Necrotizing pancreatitis was induced in young female mice by feeding a choline-deficient, ethionine supplemented diet. Animals were sacrificed as pancreatitis worsened, with multiple organs prepared for tissue mRNA and protein analysis by RT-PCR and immunoblotting. Pancreatitis severity was established by histologic grading and serum amylase and lipase. There was no cytokine mRNA or protein detectable prior to the induction of pancreatitis. Tumor necrosis factor-alpha (TNF-alpha) and interleukin-1-beta (IL-1 beta) mRNA and protein were detected within the pancreas early in the course of pancreatitis in both models, coinciding with the development of hyperamylasemia (both P < 0.001). Interleukin-6 was produced in the pancreas after pancreatitis was more fully developed (P < 0.001). IL-1 beta and TNF-alpha were subsequently produced in large amounts in lung, liver, and spleen but never within kidney, cardiac muscle, or skeletal muscle. A significant delay between pancreatic and distant organ cytokine production was always observed. It is concluded that proinflammatory cytokines are produced within the pancreas and within organs known to develop dysfunction during severe pancreatitis. Cytokine production is tissue specific, correlates with disease severity, and occurs within the pancreas first and subsequently within distant organs.

Tissue-specific cytokine production during experimental acute pancreatitis. A probable mechanism for distant organ dysfunction

Our purpose was to determine if cytokines are produced systemically during acute pancreatitis. Proinflammatory cytokines are elevated during acute pancreatitis and have been implicated in the progression of pancreatitis-associated multiple organ dysfunction. Whether these mediators are produced within all tissues or very few specific organs is not known. Edematous pancreatitis was induced in adult male mice by IP injection of cerulein. Necrotizing pancreatitis was induced in young female mice by feeding a choline-deficient, ethionine supplemented diet. Animals were sacrificed as pancreatitis worsened, with multiple organs prepared for tissue mRNA and protein analysis by RT-PCR and immunoblotting. Pancreatitis severity was established by histologic grading and serum amylase and lipase. There was no cytokine mRNA or protein detectable prior to the induction of pancreatitis. Tumor necrosis factor-alpha (TNF-alpha) and interleukin-1-beta (IL-1 beta) mRNA and protein were detected within the pancreas early in the course of pancreatitis in both models, coinciding with the development of hyperamylasemia (both P < 0.001). Interleukin-6 was produced in the pancreas after pancreatitis was more fully developed (P < 0.001). IL-1 beta and TNF-alpha were subsequently produced in large amounts in lung, liver, and spleen but never within kidney, cardiac muscle, or skeletal muscle. A significant delay between pancreatic and distant organ cytokine production was always observed. It is concluded that proinflammatory cytokines are produced within the pancreas and within organs known to develop dysfunction during severe pancreatitis. Cytokine production is tissue specific, correlates with disease severity, and occurs within the pancreas first and subsequently within distant organs.