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Analyzing epidermal growth factor receptor mutation status changes in advanced non-small-cell lung cancer at different sampling time-points of blood within one?day.

ABSTRACT: We investigated whether different sampling time-points within one?day would influence epidermal growth factor receptor mutation (EGFRm) status in plasma and evaluated the clinical outcomes according to the quantity analysis of EGFRm in circulating tumor DNA (ctDNA) in non-small-cell lung cancer (NSCLC).EGFR-tyrosine kinase inhibitor naïve advanced NSCLC patients who carried EGFRm in both tissues and ctDNA were enrolled in this study. Plasma samples were collected at three time-points within one?day (at 8?am, 11?am and 2?pm) for EGFRm analysis by droplet digital PCR.Twenty-two advanced NSCLC patients were enrolled in the study. In a total of 66 blood specimens, the median EGFRm frequency was 7.13% (range 0-35.09%), and among them six specimens had less than 1.0% EGFRm frequency. Moreover, one time-point blood specimen did not display any EGFRm, even by droplet digital PCR. The frequency of EGFRm changed dynamically across different time-points within one?day, but the differences were not significant (P?=?0.557). We observed that patients with a relatively high frequency of EGFRm (>6.76%) had a better response to gefitinib (P?=?0.024).The release of ctDNA maybe a temporal heterogenous process. The different sampling time-points within one?day did not seem to influence EGFRm status in ctDNA. The relative EGFRm frequency in ctDNA could predict a benefit of EGFR-tyrosine kinase inhibitor treatment for advanced NSCLC patients.

SUBMITTER: Wang J

PROVIDER: S-EPMC5494457 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature

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Analyzing epidermal growth factor receptor mutation status changes in advanced non-small-cell lung cancer at different sampling time-points of blood within one day.

Wang Jin J Bai Hua H Hong Chaoyu C Wang Jie J Mei Tong-Hua TH

Thoracic cancer 20170424 4

<h4>Background</h4>We investigated whether different sampling time-points within one day would influence epidermal growth factor receptor mutation (EGFRm) status in plasma and evaluated the clinical outcomes according to the quantity analysis of EGFRm in circulating tumor DNA (ctDNA) in non-small-cell lung cancer (NSCLC).<h4>Methods</h4>EGFR-tyrosine kinase inhibitor naïve advanced NSCLC patients who carried EGFRm in both tissues and ctDNA were enrolled in this study. Plasma samples were collect ...[more]

PMID: 28437026

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Project description:INTRODUCTION:People with depression, anxiety, or psychosis often complain of confusion, problems concentrating or difficulties cognitively appraising contextual cues. The same applies to people with neurodegenerative diseases or brain damage such as dementia or stroke. Assessments of those cognitive difficulties often occurs in cross-sectional and controlled clinical settings. Information on daily moment-to-moment cognitive fluctuations and its relation to affect and context is lacking. The development and evaluation of a digital cognition task is presented. It enables the fine-grained mapping of cognition and its relation to mood, intrapersonal factors and context. METHODS:The momentary Digit Symbol Substitution Task is a modified digital version of the original paper-and-pencil task, with a duration of 30 seconds and implemented in an experience sampling protocol (8 semi-random assessments a day on 6 consecutive days). It was tested in the healthy population (N = 40). Descriptive statistics and multilevel regression analyses were used to determine initial feasibility and assess cognitive patterns in everyday life. Cognition outcome measures were the number of trials within the 30-second sessions and the percentage of correct trials. RESULTS:Subjects reported the task to be easy, pleasant and do-able. On average, participants completed 11 trials with 97% accuracy per 30-second session. Cognitive variation was related to mood, with an interaction between positive and negative affect for accuracy (% correct) (p = .001) and an association between positive affect and speed (number of trials) (p = .01). Specifically, cheerful, irritated and anxious seem to covary with cognition. Distraction and location are relevant contextual factors. The number of trials showed a learning effect (p < .001) and was sensitive to age (p < .001). CONCLUSION:Implementing a digital cognition task within an experience-sampling paradigm shows promise. Fine-tuning in further research and in clinical samples is needed. Gaining insight into cognitive functioning could help patients navigate and adjust the demands of daily life.

Project description:Purpose To retrospectively identify the relationship between epidermal growth factor receptor (EGFR) mutation status, predominant histologic subtype, and computed tomographic (CT) characteristics in surgically resected lung adenocarcinomas in a cohort of Asian patients. materials and Methods This study was approved by the institutional review board, with waiver of informed consent. Preoperative chest CT findings were retrospectively evaluated in 385 surgically resected lung adenocarcinomas. A total of 30 CT descriptors were assessed. EGFR mutations at exons 18-21 were determined by using the amplification refractory mutation system. Multiple logistic regression analyses were performed to identify independent factors of harboring EGFR mutation status. The final model was selected by using the backward elimination method, and two areas under the receiver operating characteristic curve (ROC) were compared with the nonparametric approach of DeLong, DeLong, and Clarke-Pearson. Results EGFR mutations were found in 168 (43.6%) of 385 patients. Mutations were found more frequently in (a) female patients (P < .001); (b)those who had never smoked (P < .001); (c)those with lepidic predominant adenocarcinomas (P = .001) or intermediate pathologic grade (P < .001); (e) smaller tumors (P < .001); (f)tumors with spiculation (P = .019), ground-glass opacity (GGO) or mixed GGO (P < .001), air bronchogram (P = .006), bubblelike lucency (P < .001), vascular convergence (P = .024), thickened adjacent bronchovascular bundles (P = .027), or pleural retraction (P < .001); and (g) tumors without pleural attachment (P = .004), a well-defined margin (P = .010), marked heterogeneous enhancement (P = .001), severe peripheral emphysema (P = .002), severe peripheral fibrosis (P = .013), or lymphadenopathy (P = .028). The most important and significantly independent prognostic factors of harboring EGFR-activating mutation for the model with both clinical variables and CT features were those who had never smoked and those with smaller tumors, bubblelike lucency, homogeneous enhancement, or pleural retraction when adjusting for histologic subtype, pathologic grade, or thickened adjacent bronchovascular bundles. ROC curve analysis showed that use of clinical variables combined with CT features (area under the ROC curve = 0.778) was superior to use of clinical variables alone (area under the ROC curve = 0.690). Conclusion CT imaging features of lung adenocarcinomas in combination with clinical variables can be used to prognosticate EGFR mutation status better than use of clinical variables alone. (©) RSNA, 2016 Online supplemental material is available for this article.

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Analyzing epidermal growth factor receptor mutation status changes in advanced non-small-cell lung cancer at different sampling time-points of blood within one?day.

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Analyzing epidermal growth factor receptor mutation status changes in advanced non-small-cell lung cancer at different sampling time-points of blood within one day.

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