Early Prediction of Response to Tyrosine Kinase Inhibitors by Quantification of EGFR Mutations in Plasma of NSCLC Patients.

IntroductionThe potential to accurately quantify epidermal growth factor receptor (EGFR) mutations in plasma from non–small-cell lung cancer patients would enable more rapid and more frequent analyses to assess disease status; however, the utility of such analyses for clinical purposes has only recently started to explore.MethodsPlasma samples were obtained from 69 patients with EGFR-mutated tumors and 21 negative control cases. EGFR mutations in plasma were analyzed by a standardized allele-specific polymerase chain reaction (PCR) test and ultra-deep next-generation sequencing (NGS). A semiquantitative index (SQI) was derived from dilutions of known EGFR mutation copy numbers. Clinical responses were evaluated by Response Evaluation Criteria in Solid Tumors 1.1 criteria and expressed as percent tumor shrinkage.ResultsThe sensitivity and specificity of the PCR test and NGS assay in plasma versus tissue were 72% versus 100% and 74% versus 100%, respectively. Quantitative indices by the PCR test and NGS were significantly correlated (p < 0.001). EGFR testing at baseline and serially at 4 to 60 days during tyrosine kinase inhibitor therapy revealed a progressive decrease in SQI, starting from day 4, in 95% of cases. The rate of SQI decrease correlated with percent tumor shrinkage at 2 months (p < 0.0001); at 14 days, it was more than 50% in 70% of patients (rapid responders). In two patients with slow response, an early increase in the circulating levels of the T790M mutation was observed. No early T790M mutations were seen in plasma samples of rapid responders.ConclusionsQuantification of EGFR mutations from plasma with a standardized PCR test is feasible. To our knowledge, this is the first study showing a strong correlation between the EGFR SQI in the first days of treatment and clinical response with relevant implications for patient management

Mutational Profile of GNAQQ209 in Human Tumors

BACKGROUND: Frequent somatic mutations have recently been identified in the ras-like domain of the heterotrimeric G protein alpha-subunit (GNAQ) in blue naevi 83%, malignant blue naevi (50%) and ocular melanoma of the uvea (46%). The mutations exclusively affect codon 209 and result in GNAQ constitutive activation which, in turn, acts as a dominant oncogene. METHODOLOGY: To assess if the mutations are present in other tumor types we performed a systematic mutational profile of the GNAQ exon 5 in a panel of 922 neoplasms, including glioblastoma, gastrointestinal stromal tumors (GIST), acute myeloid leukemia (AML), blue naevi, skin melanoma, bladder, breast, colorectal, lung, ovarian, pancreas, and thyroid carcinomas. PRINCIPAL FINDINGS: We detected the previously reported mutations in 6/13 (46%) blue naevi. Changes affecting Q209 were not found in any of the other tumors. Our data indicate that the occurrence of GNAQ mutations display a unique pattern being present in a subset of melanocytic tumors but not in malignancies of glial, epithelial and stromal origin analyzed in this study

Survival prediction of stage I lung adenocarcinomas by expression of 10 genes

Adenocarcinoma is the predominant histological subtype of lung cancer, the leading cause of cancer deaths in the world. At stage I, the tumor is cured by surgery alone in about 60% of cases. Markers are needed to stratify patients by prognostic outcomes and may help in devising more effective therapies for poor prognosis patients. To achieve this goal, we used an integrated strategy combining meta-analysis of published lung cancer microarray data with expression profiling from an experimental model. The resulting 80-gene model was tested on an independent cohort of patients using RT-PCR, resulting in a 10-gene predictive model that exhibited a prognostic accuracy of approximately 75% in stage I lung adenocarcinoma when tested on 2 additional independent cohorts. Thus, we have identified a predictive signature of limited size that can be analyzed by RT-PCR, a technology that is easy to implement in clinical laboratories

Optimizing Single Agent Panitumumab Therapy in Pre-Treated Advanced Colorectal Cancer

PURPOSE: To improve the selection of advanced colorectal cancer patients to panitumumab by optimizing the assessment of RAS (KRAS-NRAS) mutations. EXPERIMENTAL DESIGN: Using a centralized pyrosequencing RAS assay, we analyzed the tumors of 94 patients, wild-type for KRAS mutations (codons 12 to 13) by Sanger sequencing (SS), treated with panitumumab. RESULTS: By SS analysis, 94 (62%) of 152 patients were wild-type and their objective response rate to panitumumab was 17%. We first optimized the KRAS test, by performing an accurate tissue-dissection step followed by pyrosequencing, a more sensitive method, and found further mutations in 12 (12.8%) cases. Secondly, tumors were subjected to RAS extension analysis (KRAS, exons 3 to 4; NRAS exons 2 to 4) by pyrosequencing that allowed to identify several rare mutations: KRAS codon 61, 5.3%; codon 146, 5.3%; NRAS, 9.5%. Overall, RAS mutation rate was 32.9%. All patients with additional RAS mutations had progressive or stable disease, except 3 patients with mutations at codon 61 of KRAS or NRAS who experienced partial (2 cases) or complete response. By excluding from the analysis 11 cases with mutations at codons 61, no patient was responsive to treatment (P = .021). RAS wild-type versus RAS mutated cases had a significantly better time to progression (P = .044), that resulted improved (p = .004) by excluding codon 61 mutations. CONCLUSION: This study shows that by optimizing the RAS test it is possible to significantly improve the identification of patients who do not gain benefit of panitumumab. Prospective studies are warranted to determine the clinical significance of rare mutations

Reliability and reproducibility among different platforms for tumour BRCA testing in ovarian cancer: a study of the Italian NGS Network

BRCA tumour testing is a crucial tool for personalised therapy of patients with ovarian cancer. Since different next-generation sequencing (NGS) platforms and BRCA panels are available, the NGS Italian Network proposed to assess the robustness of different technologies

Assessment of EGFR mutations in circulating tumor cell preparations from NSCLC patients by next generation sequencing: toward a real-time liquid biopsy for treatment.

Assessment of EGFR mutation in non-small cell lung cancer (NSCLC) patients is mandatory for optimization of pharmacologic treatment. In this respect, mutation analysis of circulating tumor cells (CTCs) may be desirable since they may provide real-time information on patient's disease status.Blood samples were collected from 37 patients enrolled in the TRIGGER study, a prospective phase II multi-center trial of erlotinib treatment in advanced NSCLC patients with activating EGFR mutations in tumor tissue. 10 CTC preparations from breast cancer patients without EGFR mutations in their primary tumors and 12 blood samples from healthy subjects were analyzed as negative controls. CTC preparations, obtained by the Veridex CellSearch System, were subjected to ultra-deep next generation sequencing (NGS) on the Roche 454 GS junior platform.CTCs fulfilling all Veridex criteria were present in 41% of the patients examined, ranging in number between 1 and 29. In addition to validated CTCs, potential neoplastic elements were seen in 33 cases. These included cells not fulfilling all Veridex criteria (also known as "suspicious objects") found in 5 (13%) of 37 cases, and isolated or clustered large naked nuclei with irregular shape observed in 33 (89%) cases. EGFR mutations were identified by NGS in CTC preparations of 31 (84%) patients, corresponding to those present in matching tumor tissue. Twenty-five (96%) of 26 deletions at exon 19 and 6 (55%) of 11 mutations at exon 21 were detectable (P = 0.005). In 4 (13%) cases, multiple EGFR mutations, suggesting CTC heterogeneity, were documented. No mutations were found in control samples.We report for the first time that the CellSearch System coupled with NGS is a very sensitive and specific diagnostic tool for EGFR mutation analysis in CTC preparations with potential clinical impact

Molecular profiling of the "plexinome" in melanoma and pancreatic cancer

Plexins are transmembrane high-affinity receptors for semaphorins, regulating cell guidance, motility, and invasion. Functional evidences implicate semaphorin signals in cancer progression and metastasis. Yet, it is largely unknown whether plexin genes are genetically altered in human tumors. We performed a comprehensive gene copy analysis and mutational profiling of all nine members of the plexin gene family (plexinome), in melanomas and pancreatic ductal adenocarcinomas (PDACs), which are characterized by high metastatic potential and poor prognosis. Gene copy analysis detected amplification of PLXNA4 in melanomas, whereas copy number losses of multiple plexin genes were seen in PDACs. Somatic mutations were detected in PLXNA4, PLXNB3, and PLXNC1; providing the first evidence that these plexins are mutated in human cancer. Functional assays in cellular models revealed that some of these missense mutations result in loss of plexin function. For instance, c.1613G>A, p.R538H mutation in the extracellular domain of PLXNB3 prevented binding of the ligand Sema5A. Moreover, although PLXNA4 signaling can inhibit tumor cell migration, the mutated c.5206C>T, p.H1736Y allele had lost this activity. Our study is the first systematic analysis of the "plexinome" in human tumors, and indicates that multiple mutated plexins may be involved in cancer progressio