Search results for "circulating"
showing 10 items of 173 documents
Circulating tumor DNA analysis for assessment of recurrence risk, benefit of adjuvant therapy, and early relapse detection after treatment in colorec…
2021
11 Background: Timely detection of recurrence, as well as identification of patients at high risk of recurrence after surgery and after completion of adjuvant therapy, are major challenges in the treatment of colorectal cancer (CRC). Postsurgical circulating tumor DNA (ctDNA) analysis is a promising tool for the identification of patients with minimal residual disease (MRD) and a high risk of recurrence. The objective of this prospective, multicenter study was to determine whether serial postsurgical ctDNA analysis could identify the patients at high risk of recurrence, provide an assessment of adjuvant therapy efficacy and detect relapse earlier than standard-of-care radiological imaging.…
Circulating tumor DNA to detect minimal residual disease, response to adjuvant therapy, and identify patients at high risk of recurrence in patients …
2020
4009 Background: The clinical utility of tracking circulating tumor DNA (ctDNA) as a non-invasive biomarker for detecting minimal residual disease (MRD) and stratifying patients based on their risk of developing relapse has been well established in colorectal cancer (CRC). This study evaluates the detection and longitudinal monitoring of ctDNA in CRC patients pre- and post-operatively, during and after adjuvant chemotherapy (ACT). Methods: The prospective, multicenter cohort study recruited patients (n = 193) diagnosed with resected stage I-III CRC. Plasma samples (n = 1052) were collected at various timepoints with a median follow up of 21.6 months (4.6-38.5 months). Individual tumors and…
Technical Aspects for the Evaluation of Circulating Tumor Cells (CTCs)
2017
Liquid biopsy is considered a valid strategy to improve patients’ selection and treatment monitoring in clinical practice. Indeed Circulating Tumor Cells (CTCs) represent an important component of liquid biopsy and their clinical evaluation is becoming fundamental for a better patients’ stratification. Several techniques have been developed for CTCs isolation and enrichment and in this chapter we provide an updated overview of the main strategies that can be used.
A Tetra-Panel of Serum Circulating miRNAs for the Diagnosis of the Four Most Prevalent Tumor Types
2020
The purpose of this study is to clinically validate a series of circulating miRNAs that distinguish between the 4 most prevalent tumor types (lung cancer (LC)
Epulis-Like Presentation of Gingival Renal Cancer Metastasis
2017
Mouth metastatic cancers are very rare and they usually represent the evidence of a widespread disease. Common primary tumors are lung carcinoma in men and breast carcinoma in women, followed by kidney cancer. In the oral soft tissues, the gingiva is the most common site, suggesting a possible role of inflammation in the attraction of circulating tumor cells. Oral metastasis has a serious prognosis. In this work, we describe the case of a 58-year-old man affected by renal cancer, who was brought to our attention for the appearance of a gingival swelling. Initially, the lesion was excised through a provisional clinical diagnosis of epulis. Subsequently, anatomopathological analysis showed a …
Applicability of ctDNA at diagnosis and during the monitoring of EGFR-mutated patients
2019
Prognostic value of CTCs in advanced NSCLC patients treated with platinum-based chemotherapy
2019
Abstract Background Lung cancer is the leading cause of cancer-related mortality worldwide. At diagnosis, 70% of patients present advanced disease being chemotherapy the standard of care. Although, specific tumour biomarkers that allow a better treatment selection and monitoring is absent at the moment. Enumeration and characterization of circulating tumor cells (CTCs) have the potential to perform as a prognostic biomarker for a precision medicine approach to lung cancer care. The present study was conducted to validate the characterization CTCs from patients with advanced Non-small cell lung cancer (NSCLC) as a valuable tool for anticipating the disease evolution and the therapy response.…
Biomarkers as Prognostic, Predictive, and Surrogate Endpoints
2015
The improved understanding of tumor biology associated with the recent technological advancement has revealed a growing number of potential tumor biomarkers as candidate for clinical use, providing new opportunities for improving the management of cancer patients in all phases of care. Biomarkers have several clinical applications in oncology, including risk assessment for disease recurrence or early diagnosis in healthy population. After the advent of targeted therapies, a growing interest has been focused on their potential role as prognostic, predictive, and surrogate endpoints, in order to promote personalized strategies. The introduction of molecular biomarkers in clinical practice has…
Prognostic and predictive biomarkers for targeted therapy in NSCLC: For whom the bell tolls?
2015
Introduction: The discovery of molecular biomarkers and the advent of targeted therapies have led to a radical change in the treatment of several tumors, including NSCLC. In the last few years, the number of molecular biomarkers has rapidly increased, and a growing interest has been recently focused on their potential prognostic and predictive value in clinical settings. Areas covered: This review describes all the molecular biomarkers with prognostic and predictive value in NSCLC, including both clinically approved biomarkers, and emerging biomarkers under investigation in clinical trials. Liquid biopsy and applications of circulating biomarkers are also described. Expert opinion: The onco…
Towards early risk biomarkers: serum metabolic signature in childhood predicts cardio-metabolic risk in adulthood
2019
AbstractCardiovascular diseases have their origin in childhood. Early biomarkers identifying individuals with increased risk for disease are needed to support early detection and to optimize prevention strategies. By applying machine learning approach on high throughput NMR-based metabolomics data, we identified metabolic predictors of cardiovascular risk in circulation in a cohort of 396 females, followed from childhood (mean age 11.2 years) to early adulthood (mean age 18.1 years). The identified childhood metabolic signature included three circulating biomarkers robustly associating with increased cardiovascular risk in early adulthood (AUC = 0.641 to 0.802, all p<0.01). These associa…