Colorectal carcinomas with submucosal invasion (pT1): analysis of histopathological and molecular factors predicting lymph node metastasis.

Submucosally invasive colorectal carcinoma (pT1) has the potential to be cured by local excision. In US surgical intervention is reserved for tumors with high-grade morphology, lymphvascular invasion, and close/positive margin. In other countries, particularly Japan, surgical therapy is also recommended for mucinous tumors, tumors with >1000 µm of submucosal invasion, and those with high tumor budding. These histological features have not been well evaluated in a western cohort of pT1 carcinomas. In a cohort of 116 surgically resected pT1 colorectal carcinomas, high tumor budding (P<0.001), lymphatic invasion (P=0.003), depth of submucosal invasion >1000 µm (P=0.04), and high-grade morphology (P=0.04) were significantly associated with lymph node metastasis on univariate analysis. Mucinous differentiation, tumor location, tumor growth pattern, and size of invasive component were not significant. On multivariate analysis, only high tumor budding was associated with lymph node metastasis with an odds ratio of 4.3 (P=0.004). A subset of 48 tumors (22 node-positive and 26 node-negative) was analyzed for mutations in 50 oncogenes and tumor suppressors. No statistically significant molecular alterations in these 50 genes were associated with lymph node status. However, lymphatic invasion was associated with BRAF mutations (P=0.01). Furthermore, high tumor budding was associated with mutations in TP53 (P=0.03) and inversely associated with mutations in the mTOR pathway (PIK3CA and AKT, P=0.02). In conclusion, this study demonstrates the importance of identifying high tumor budding in pT1 carcinomas when considering additional surgical resection. Molecular alterations associated with adverse histological features are identified.

Identification of Novel MET Exon 14 Skipping Variants in Non-Small Cell Lung Cancer Patients: A Prototype Workflow Involving in Silico Prediction and RT-PCR.

Background and aims: The MET exon 14 skipping (METex14) is an oncogenic driver mutation that provides a therapeutic opportunity in non-small cell lung cancer (NSCLCs) patients. This event often results from sequence changes at the MET canonical splicing sites. We characterize two novel non-canonical splicing site variants of MET that produce METex14. Materials and Methods: Two variants were identified in three advanced-stage NSCLC patients in a next-generation sequencing panel. The potential impact on splicing was predicted using in silico tools. METex14 mutation was confirmed using reverse transcription (RT)-PCR and a Sanger sequencing analysis on RNA extracted from stained cytology smears. Results: The interrogated MET (RefSeq ID NM_000245.3) variants include a single nucleotide substitution, c.3028+3A>T, in intron 14 and a deletion mutation, c.3012_3028del, in exon 14. The in silico prediction analysis exhibited reduced splicing strength in both variants compared with the MET normal transcript. The RT-PCR and subsequent Sanger sequencing analyses confirmed METex14 skipping in all three patients carrying these variants. Conclusion: This study reveals two non-canonical MET splice variants that cause exon 14 skipping, concurrently also proposes a clinical workflow for the classification of such non-canonical splicing site variants detected by routine DNA-based NGS test. It shows the usefulness of in silico prediction to identify potential METex14 driver mutation and exemplifies the opportunity of routine cytology slides for RNA-based testing.

Gene Fusion Identification Using Anchor-Based Multiplex PCR and Next-Generation Sequencing.

BACKGROUND: Methods for identifying gene fusion events, such as fluorescence in situ hybridization (FISH), immunohistochemistry (IHC), and transcriptome analysis, are either single gene approaches or require bioinformatics expertise not generally available in clinical laboratories. We analytically validated a customized next-generation sequencing (NGS) panel targeting fusion events in 34 genes involving soft-tissue sarcomas. METHODS: Specimens included 87 formalin-fixed paraffin-embedded (FFPE) tissues with known gene fusion status. Isolated total nucleic acid was used to identify fusion events at the RNA level. The potential fusions were targeted by gene-specific primers, followed by primer extension and nested PCR to enrich for fusion candidates with subsequent bioinformatics analysis. RESULTS: The study generated results using the following quality metrics for fusion detection: (a) ≥100 ng total nucleic acid, (b) RNA average unique start sites per gene-specific primer control ≥10, (c) quantitative PCR assessing input RNA quality had a crossing point <30, (d) total RNA percentage ≥30%, and (e) total sequencing fragments ≥500 000. CONCLUSIONS: The test validation study demonstrated analytical sensitivity of 98.7% and analytical specificity of 90.0%. The NGS-based panel generated highly concordant results compared to alternative testing methods.

Real-time PCR and targeted next-generation sequencing in the detection of low level EGFR mutations: Instructive case analyses.

BACKGROUND: Allele specific real-time PCR and next-generation sequencing (NGS) are widely used to detect somatic mutation in non-small cell lung cancer (NSCLC). Both methods commonly use formalin-fixed paraffin-embedded (FFPE) tissues as diagnostic materials. Real-time PCR has the advantage of being easy to use and more tolerant of variable DNA quality, but has limited multiplex capability. NGS, in contrast, allows simultaneous analysis of many genomic loci while revealing the exact sequence changes; it is, however, more technically demanding and more expensive to employed. A challenge for both platforms is the varied limit of detection (LoD) for target genomic loci, even within the same gene. The variability of detection sensitivity may be problematic if well-known actionable somatic mutations are missed. CASES: We compared LoDs between real-time PCR and targeted NGS tests for some commonly observed EGFR mutations in NSCLC specimens. CONCLUSIONS: The FDA-approved real-time PCR test was superior to the NGS in detecting low level EGFR exon 19 deletion (near 1% variant allele fraction (VAF)). The cancer hotspot NGS detects low level EGFR c.2369C > T, p.T790M (2-5% VAF) better than the FDA-approved real-time PCR method. We conclude that the real-time PCR and hotspot NGS methods have complementary strengths in accurately determining clinically important EGFR mutations in NSCLC.

Next-generation sequencing of liquid-based cytology non-small cell lung cancer samples.

BACKGROUND: The detection of mutated epidermal growth factor receptor (EGFR) in non-small cell lung cancer (NSCLC) with residual cell pellets derived from liquid-based cytology (LBC) samples (eg, endoscopic ultrasound-guided fine-needle aspiration) has been validated with allele-specific polymerase chain reaction. The aim of this study was to validate next-generation sequencing (NGS) technology for detecting gene mutations with residual cell pellets from LBC. METHODS: Archived DNA extracted from LBC samples of adenocarcinoma stored in PreservCyt with a known EGFR mutation status was retrieved. Genomic DNA was multiplex-amplified and enriched with Ion AmpliSeq Cancer Hotspot Panel v2 chemistry and the OneTouch 2 instrument; this was followed by semiconductor sequencing on the Ion Personal Genome Machine platform. The mutation hotspots of 6 NSCLC-related genes (BRAF, EGFR, ERBB2, KRAS, MET, and phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit α [PIK3CA]) were analyzed with NextGENe and Torrent Suite bioinformatics tools. RESULTS: The commonly identified EGFR sequence changes, including 4 L858R mutations, 3 exon 19 deletions, and 1 exon 20 insertion, were in 100% concordance between the assay platforms. Less common NSCLC variants were also found in the mutation hotspots of ERBB2, KRAS, MET, and PIK3CA genes. CONCLUSIONS: NSCLC mutation analysis using NGS can be successfully performed on residual cell pellets derived from LBC samples. This approach allows the simultaneous examination of multiple mutation hotspots in a timely manner to improve patient care. Cancer Cytopathol 2017;125:178-187. © 2016 American Cancer Society.

Does neoadjuvant therapy alter KRAS and/or MSI results in rectal adenocarcinoma testing?

To our knowledge, the genotoxic effects of neoadjuvant chemoradiation therapy on molecular diagnostic testing results are unknown. However, if neoadjuvant treatments were to alter molecular test results, clinical decision-making could be misled. This raises questions about the appropriateness of using posttreatment tumor for testing. To address this, rectal adenocarcinomas both before and after neoadjuvant treatment were evaluated for alterations in KRAS and microsatellite instability (MSI) testing. Neoadjuvant chemoradiation therapy is common in this tumor type, and alterations in these 2 tests would significantly impact management. A total of 17 rectal adenocarcinoma patients with available pretreatment and posttreatment tumor were studied. MSI testing used the revised National Cancer Institute panel of 5 mononucleotide microsatellite repeats, comparing cancers with matched normal control tissues. KRAS codon 12-point and 13-point mutations were examined by polymerase chain reaction amplification and bidirectional sequencing. MSI and KRAS results were unchanged comparing rectal cancer tissue before and after chemoradiotherapy in all 17 patients (P=1.000; 95% CI: 0.3969-2.520). All 17 tumors (100%) were microsatellite stable. KRAS testing identified 12 (72%) wild-type tumors and 5 (28%) codon 12 or 13 mutant tumors with identical KRAS point mutations before and after treatment. The identified MSI and KRAS mutational prevalences parallel those reported in the rectal cancer literature. Neoadjuvant therapy did not alter KRAS codon 12 or 13 or MSI results in rectal adenocarcinoma, providing evidence that either pretreatment biopsy or posttreatment resection tissues are appropriate for testing.