49 research outputs found

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

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    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

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    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

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    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

    Gene mutations in small-cell lung cancer (SCLC): Results of a panel of 6 genes in a cohort of Italian patients

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    Background: No target therapies are presently available in the treatment of small-cell lung cancer (SCLC). We investigated the presence of potentially drugable mutations in the EGFR, c-MET, BRAF, KRAS, PDGFRa and c-KIT genes in a retrospective series of SCLC from 2 Italian Institutions. Correlations with immunohistochemical, clinical and outcome features were evaluated. Materials and methods: Genes were studied by direct sequencing of DNA extracted from formalin-fixed paraffin-embedded tissues. Immunohistochemical expression of TTF-1, p63, chromogranin, synaptophysin, CD56 and bcl-2 was assessed. Results: Samples from 113 SCLC patients were analyzed. All cases were wild-type for BRAF, KRAS, PDGFRa and c-KIT (data available for 82 patients). Two (1.8%) patients were EGFR-mutated (exon 19 delE746-A750 and exon 21 L858R); both were females, non-smoker and had limited disease. Overall survival of EGFR-mutated patients was 21 months as compared to 11 months in wild-type. Five (4.4%) patients were c-MET-mutated (4 on exon 14: 2 R988C, 1 D990N, 1 D102Y; 1 on exon 17 R1166Q); all were smokers, 3 were males and 4 had extensive disease. Their OS was comparable to wild-type cases (12 vs. 11 months). EGFR and c-MET mutations were mutually exclusive. Gene mutations did not correlate with immunophenotype. Conclusions: Targetable mutations are uncommon in SCLC. EGFR-mutated patients tended to be female and non-smoker and experienced a prolonged OS suggesting a possible positive prognostic effect. c-MET mutations did not affect survival. Target therapy might be considered in EGFR and c-MET-mutated patients

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

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    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

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    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
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