scholarly journals Next-Generation Biomarkers for Cholangiocarcinoma

Cancers ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 3222
Author(s):  
Pedro M. Rodrigues ◽  
Arndt Vogel ◽  
Marco Arrese ◽  
Domingo C. Balderramo ◽  
Juan W. Valle ◽  
...  
Keyword(s):  
Biomarker Discovery ◽  
Tumor Development ◽  
Predictive Biomarkers ◽  
Disease Diagnosis ◽  
Future Research ◽  
Tumor Biopsy ◽  
Non Invasive ◽  
Tumor Stages ◽  
At Risk Populations ◽  
Early Tumor

The increasing mortality rates of cholangiocarcinoma (CCA) registered during the last decades are, at least in part, a result of the lack of accurate non-invasive biomarkers for early disease diagnosis, making the identification of patients who might benefit from potentially curative approaches (i.e., surgery) extremely challenging. The obscure CCA pathogenesis and associated etiological factors, as well as the lack of symptoms in patients with early tumor stages, highly compromises CCA identification and to predict tumor development in at-risk populations. Currently, CCA diagnosis is accomplished by the combination of clinical/biochemical features, radiological imaging and non-specific serum tumor biomarkers, although a tumor biopsy is still needed to confirm disease diagnosis. Furthermore, prognostic and predictive biomarkers are still lacking and urgently needed. During the recent years, high-throughput omics-based approaches have identified novel circulating biomarkers (diagnostic and prognostic) that might be included in large, international validation studies in the near future. In this review, we summarize and discuss the most recent advances in the field of biomarker discovery in CCA, providing new insights and future research directions.

scholarly journals Characterisation of baseline microbiological and host factors in an inception cohort of people with surgical wounds healing by secondary intention reveals circulating IL-6 levels as a potential predictive biomarker of healing

2020 ◽  
Vol 5 ◽  
pp. 80
Author(s):  
Hannah Buckley ◽  
Jo Dumville ◽  
Michael Hodgkinson ◽  
Debbie Wearmouth ◽  
Gavin Barlow ◽  
...  
Keyword(s):  
Plasma Levels ◽  
Biomarker Discovery ◽  
Predictive Biomarkers ◽  
Predictive Biomarker ◽  
Host Factors ◽  
Future Research ◽  
Inception Cohort ◽  
Secondary Intention ◽  
Surgical Wounds ◽  
The Uk

Background: More than 2 million people per year are treated for surgical wounds in the UK.  Over a quarter of these wounds are estimated to heal by secondary intention (from the “bottom up”) resulting in further complications and requiring increased healthcare resources. Identification of microbiological or host biomarkers that can predict healing outcomes may help to optimize the management of surgical wounds healing by secondary intention. However, the microbial and host factor heterogeneity amongst this diverse population is completely unexplored. Methods: We demonstrate feasibility of determining presence and levels of wound microbes and systemic host factors in an inception cohort of 54 people presenting with surgical wounds healing by secondary intention, who were subsequently followed-up for a period of 12-21 months. We present descriptive statistics for plasma levels of inflammatory, angiogenic cytokines and microRNAs, and we identify a range of wound colonizing microbes. We tentatively explore association with healing aiming to generate hypotheses for future research. Results: We report a potential correlation between poor healing outcomes and elevated interleukin (IL)-6 plasma levels at presentation (ρ=0.13) which requires confirmation.   Conclusions: This study demonstrates the degree of biological heterogeneity amongst people with surgical wounds healing by secondary intention and proves the feasibility of embedding a biomarker discovery study in a cohort study in surgical wounds. Our results are essential for designing large biomarker discovery studies to further investigate the potential validity of circulating IL-6 or other factors as novel predictive biomarkers of healing for surgical wounds healing by secondary intention.

scholarly journals Longitudinal Bottom-Up Proteomics of Serum, Serum Extracellular Vesicles, and Cerebrospinal Fluid Reveals Candidate Biomarkers for Early Detection of Glioblastoma in a Murine Model

Molecules ◽  
2021 ◽  
Vol 26 (19) ◽  
pp. 5992
Author(s):  
Francesco Greco ◽  
Federica Anastasi ◽  
Luca Fidia Pardini ◽  
Marialaura Dilillo ◽  
Eleonora Vannini ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Extracellular Vesicles ◽  
Murine Model ◽  
Biomarker Discovery ◽  
Early Stage ◽  
Protein Profile ◽  
Survival Rates ◽  
Non Invasive ◽  
Tumor Stages ◽  
Early Effects

Glioblastoma Multiforme (GBM) is a brain tumor with a poor prognosis and low survival rates. GBM is diagnosed at an advanced stage, so little information is available on the early stage of the disease and few improvements have been made for earlier diagnosis. Longitudinal murine models are a promising platform for biomarker discovery as they allow access to the early stages of the disease. Nevertheless, their use in proteomics has been limited owing to the low sample amount that can be collected at each longitudinal time point. Here we used optimized microproteomics workflows to investigate longitudinal changes in the protein profile of serum, serum small extracellular vesicles (sEVs), and cerebrospinal fluid (CSF) in a GBM murine model. Baseline, pre-symptomatic, and symptomatic tumor stages were determined using non-invasive motor tests. Forty-four proteins displayed significant differences in signal intensities during GBM progression. Dysregulated proteins are involved in cell motility, cell growth, and angiogenesis. Most of the dysregulated proteins already exhibited a difference from baseline at the pre-symptomatic stage of the disease, suggesting that early effects of GBM might be detectable before symptom onset.

scholarly journals Characterisation of baseline microbiological and host factors in an inception cohort of people with surgical wounds healing by secondary intention reveals circulating IL-6 levels as a potential predictive biomarker of healing

2020 ◽  
Vol 5 ◽  
pp. 80
Author(s):  
Hannah Buckley ◽  
Jo Dumville ◽  
Michael Hodgkinson ◽  
Debbie Wearmouth ◽  
Gavin Barlow ◽  
...  
Keyword(s):  
Plasma Levels ◽  
Biomarker Discovery ◽  
Predictive Biomarkers ◽  
Predictive Biomarker ◽  
Host Factors ◽  
Future Research ◽  
Inception Cohort ◽  
Secondary Intention ◽  
Surgical Wounds ◽  
The Uk

Background: More than 2 million people per year are treated for surgical wounds in the UK.  Over a quarter of these wounds are estimated to heal by secondary intention (from the “bottom up”) resulting in further complications and requiring increased healthcare resources. Identification of microbiological or host biomarkers that can predict healing outcomes may help to optimize the management of surgical wounds healing by secondary intention. However, the microbial and host factor heterogeneity amongst this diverse population is completely unexplored. Methods: We demonstrate feasibility of determining presence and levels of wound microbes and systemic host factors in an inception cohort of 54 people presenting with surgical wounds healing by secondary intention, who were subsequently followed-up for a period of 12-21 months. We present descriptive statistics for plasma levels of inflammatory, angiogenic cytokines and microRNAs, and we identify a range of wound colonizing microbes. We tentatively explore association with healing aiming to generate hypotheses for future research. Results: We report a potential correlation between poor healing outcomes and elevated interleukin (IL)-6 plasma levels at presentation (ρ=0.13) which requires confirmation.   Conclusions: This study demonstrates the degree of biological heterogeneity amongst people with surgical wounds healing by secondary intention and proves the feasibility of embedding a biomarker discovery study in a cohort study in surgical wounds. Our results are essential for designing large biomarker discovery studies to further investigate the potential validity of circulating IL-6 or other factors as novel predictive biomarkers of healing for surgical wounds healing by secondary intention.

Age and marital status predictors of binge alcohol use among adults with major depressive episode

2020 ◽  
Author(s):  
Areen Omary
Keyword(s):  
At Risk ◽  
Alcohol Use ◽  
Marital Status ◽  
Depressive Episode ◽  
Major Depressive Episode ◽  
Age Groups ◽  
Future Research ◽  
Major Depressive ◽  
Never Married ◽  
At Risk Populations

Aims: This study aims to examine if age and marital status can predict the risk for binge alcohol use (BAU) among adults with a major depressive episode (MDE). Methods: Data from the Substance Abuse and Mental Health Services Administration’s (SAMHSA) 2018 National Survey for Drug Use and Health (NSDUH) were analyzed. The unweighted sample included 6,999 adults representing a weighted population size of 33,900,452.122 in the US. Results and Conclusions: The findings of this retrospective research confirmed that age and marital status significantly predicted BAU in the past month among adults with MDE. Adults with MDE at higher risk for BAU were adults under the age of 50, adults who were never married, and adults who were divorced/separated. Special attention must be paid to those in age groups under 50, never married, and have been separated/divorced who are particularly at-risk for future alcohol abuse. Future research should consider examining additional potential confounders for BAU among other at-risk populations.

scholarly journals The combined detection of Amphiregulin, Cyclin A1 and DDX20/Gemin3 expression predicts aggressive forms of oral squamous cell carcinoma

2021 ◽  
Author(s):  
Ekaterina Bourova-Flin ◽  
Samira Derakhshan ◽  
Afsaneh Goudarzi ◽  
Tao Wang ◽  
Anne-Laure Vitte ◽  
...  
Keyword(s):  
Gene Expression ◽  
Squamous Cell ◽  
Large Scale ◽  
Biomarker Discovery ◽  
Gene Expression Signature ◽  
Predictive Biomarkers ◽  
Specific Gene ◽  
Specific Expression ◽  
Intrinsic Nature ◽  
Independent Cohort

Abstract Background Large-scale genetic and epigenetic deregulations enable cancer cells to ectopically activate tissue-specific expression programmes. A specifically designed strategy was applied to oral squamous cell carcinomas (OSCC) in order to detect ectopic gene activations and develop a prognostic stratification test. Methods A dedicated original prognosis biomarker discovery approach was implemented using genome-wide transcriptomic data of OSCC, including training and validation cohorts. Abnormal expressions of silent genes were systematically detected, correlated with survival probabilities and evaluated as predictive biomarkers. The resulting stratification test was confirmed in an independent cohort using immunohistochemistry. Results A specific gene expression signature, including a combination of three genes, AREG, CCNA1 and DDX20, was found associated with high-risk OSCC in univariate and multivariate analyses. It was translated into an immunohistochemistry-based test, which successfully stratified patients of our own independent cohort. Discussion The exploration of the whole gene expression profile characterising aggressive OSCC tumours highlights their enhanced proliferative and poorly differentiated intrinsic nature. Experimental targeting of CCNA1 in OSCC cells is associated with a shift of transcriptomic signature towards the less aggressive form of OSCC, suggesting that CCNA1 could be a good target for therapeutic approaches.

scholarly journals Multiregional genetic evolution of metastatic uveal melanoma

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Daniel A. Rodriguez ◽  
Jessica Yang ◽  
Michael A. Durante ◽  
Alexander N. Shoushtari ◽  
Stergios J. Moschos ◽  
...  
Keyword(s):  
Uveal Melanoma ◽  
Tumor Development ◽  
Genetic Evolution ◽  
Metastatic Progression ◽  
Therapeutic Approaches ◽  
Primary Tumors ◽  
Early Tumor ◽  
Rapid Autopsy ◽  
Genetic Events ◽  
Novel Therapeutic

AbstractUveal melanoma (UM) is the most common primary intraocular malignancy in adults and leads to deadly metastases for which there is no approved treatment. Genetic events driving early tumor development are well-described, but those occurring later during metastatic progression remain poorly understood. We performed multiregional genomic sequencing on 22 tumors collected from two patients with widely metastatic UM who underwent rapid autopsy. We observed multiple seeding events from the primary tumors, metastasis-to-metastasis seeding, polyclonal seeding, and late driver variants in ATM, KRAS, and other genes previously unreported in UM. These findings reveal previously unrecognized temporal and anatomic complexity in the genetic evolution of metastatic uveal melanoma, and they highlight the distinction between early and late phases of UM genetic evolution with implications for novel therapeutic approaches.

scholarly journals Socio-economic demands and challenges for non-invasive disease diagnosis through a portable breathalyzer by the incorporation of 2D nanosheets and SMO nanocomposites

RSC Advances ◽  
2021 ◽  
Vol 11 (35) ◽  
pp. 21216-21234
Author(s):  
Ramji Kalidoss ◽  
Radhakrishnan Kothalam ◽  
A. Manikandan ◽  
Saravana Kumar Jaganathan ◽  
Anish Khan ◽  
...  
Keyword(s):  
Breath Analysis ◽  
Disease Diagnosis ◽  
Invasive Disease ◽  
Research Community ◽  
Clinical Diagnostics ◽  
Non Invasive ◽  
Technological Developments ◽  
2D Nanosheets

Breath analysis for non-invasive clinical diagnostics and treatment progression has penetrated the research community owing to the technological developments in novel sensing nanomaterials.

scholarly journals Non-Invasive Fetal Electrocardiogram Monitoring Techniques: Potential and Future Research Opportunities in Smart Textiles

Signals ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. 392-412
Author(s):  
Geetika Aggarwal ◽  
Yang Wei
Keyword(s):  
Heart Rate ◽  
Fetal Heart Rate ◽  
Fetal Heart ◽  
Skin Penetration ◽  
Future Research ◽  
Fetal Electrocardiogram ◽  
Smart Textiles ◽  
Non Invasive ◽  
Future Research Directions ◽  
Electrocardiogram Monitoring

During the pregnancy, fetal electrocardiogram (FECG) is deployed to analyze fetal heart rate (FHR) of the fetus to indicate the growth and health of the fetus to determine any abnormalities and prevent diseases. The fetal electrocardiogram monitoring can be carried out either invasively by placing the electrodes on the scalp of the fetus, involving the skin penetration and the risk of infection, or non-invasively by recording the fetal heart rate signal from the mother’s abdomen through a placement of electrodes deploying portable, wearable devices. Non-invasive fetal electrocardiogram (NIFECG) is an evolving technology in fetal surveillance because of the comfort to the pregnant women and being achieved remotely, specifically in the unprecedented circumstances such as pandemic or COVID-19. Textiles have been at the heart of human technological progress for thousands of years, with textile developments closely tied to key inventions that have shaped societies. The relatively recent invention of smart textiles is set to push boundaries again and has already opened the potential for garments relevant to medicine, and health monitoring. This paper aims to discuss the different technologies and methods used in non-invasive fetal electrocardiogram (NIFECG) monitoring as well as the potential and future research directions of NIFECG in the smart textiles area.

scholarly journals Current status of ctDNA in precision oncology for hepatocellular carcinoma

2021 ◽  
Vol 40 (1) ◽  
Author(s):  
Yan Li ◽  
Yuanyuan Zheng ◽  
Liwei Wu ◽  
Jingjing Li ◽  
Jie Ji ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cancer Progression ◽  
Diagnostic Technique ◽  
Response Assessment ◽  
Selection Response ◽  
Circulating Tumor Dna ◽  
Current Status ◽  
Precision Oncology ◽  
Tumor Biopsy ◽  
Non Invasive

AbstractThe conventional method used to obtain a tumor biopsy for hepatocellular carcinoma (HCC) is invasive and does not evaluate dynamic cancer progression or assess tumor heterogeneity. It is thus imperative to create a novel non-invasive diagnostic technique for improvement in cancer screening, diagnosis, treatment selection, response assessment, and predicting prognosis for HCC. Circulating tumor DNA (ctDNA) is a non-invasive liquid biopsy method that reveals cancer-specific genetic and epigenetic aberrations. Owing to the development of technology in next-generation sequencing and PCR-based assays, the detection and quantification of ctDNA have greatly improved. In this publication, we provide an overview of current technologies used to detect ctDNA, the ctDNA markers utilized, and recent advances regarding the multiple clinical applications in the field of precision medicine for HCC.

scholarly journals Current Status and Future Perspectives about Molecular Biomarkers of Nasopharyngeal Carcinoma

Cancers ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 3490
Author(s):  
Pui Yan Siak ◽  
Alan Soo-Beng Khoo ◽  
Chee Onn Leong ◽  
Boon-Peng Hoh ◽  
Shiau-Chuen Cheah
Keyword(s):  
Nasopharyngeal Carcinoma ◽  
Biomarker Discovery ◽  
Southern China ◽  
Disease Diagnosis ◽  
Late Presentation ◽  
Dietary Factors ◽  
Current Status ◽  
Complex Nature ◽  
Epstein Barr Virus Infection ◽  
Potential Biomarker

Nasopharyngeal carcinoma (NPC) is an epithelial malignancy that shows a remarkable ethnic and geographical distribution. It is one of the major public health problems in some countries, especially Southern China and Southeast Asia, but rare in most Western countries. Multifactorial interactions such as Epstein–Barr virus infection, individual’s genetic susceptibility, as well as environmental and dietary factors may facilitate the pathogenesis of this malignancy. Late presentation and the complex nature of the disease have led it to become a major cause of mortality. Therefore, an effective, sensitive, and specific molecular biomarker is urgently needed for early disease diagnosis, prognosis, and prediction of metastasis and recurrence after treatment. In this review, we discuss the recent research status of potential biomarker discovery and the problems that need to be explored further for better NPC management. By studying the aberrant pattern of these candidate biomarkers that promote NPC development and progression, we are able to understand the complexity of this malignancy better, hence positing our stands better towards strategies that may provide a way forward to the discovery of more reliable and specific biomarkers for diagnosis and targeted therapeutic development.

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