scholarly journals Cytoglobin as a Biomarker in Cancer: Potential Perspective for Diagnosis and Management

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Tatsha C. Bholah ◽  
Vidushi S. Neergheen-Bhujun ◽  
Nikolas J. Hodges ◽  
Sabrina D. Dyall ◽  
Theeshan Bahorun
Keyword(s):  
Cancer Detection ◽  
Functional Role ◽  
Early Detection Of Cancer ◽  
Patient Survival ◽  
Early Cancer ◽  
Therapeutic Option ◽  
Early Cancer Detection ◽  
Research Initiatives

The search for biomarkers to detect the earliest glimpse of cancer has been one of the primary objectives of cancer research initiatives. These endeavours, in spite of constant clinical challenges, are now more focused as early cancer detection provides increased opportunities for different interventions and therapies, with higher potential for improving patient survival and quality of life. With the progress of the omics technologies, proteomics and metabolomics are currently being used for identification of biomarkers. In this line, cytoglobin (Cygb), a ubiquitously found protein, has been actively reviewed for its functional role. Cytoglobin is dynamically responsive to a number of insults, namely, fibrosis, oxidative stress, and hypoxia. Recently, it has been reported that Cygb is downregulated in a number of malignancies and that an induced overexpression reduces the proliferative characteristics of cancer cells. Thus, the upregulation of cytoglobin can be indicative of a tumour suppressor ability. Nevertheless, without a comprehensive outlook of the molecular and functional role of the globin, it will be most unlikely to consider cytoglobin as a biomarker for early detection of cancer or as a therapeutic option. This review provides an overview of the proposed role of cytoglobin and explores its potential functional role as a biomarker for cancer and other diseases.

scholarly journals Nanotechnology: Emerging Developments and Early Detection of Cancer. A Two-Day Workshop Sponsored by the National Cancer Institute and the National Institute of Standards and Technology, August 30–31 2001, on the National Institute of Standards and Technology Campus, Gaithersburg, MD, USA

2002 ◽  
Vol 18 (4) ◽  
pp. 153-158 ◽  
Author(s):  
Steven J. Zullo ◽  
Sudhir Srivastava ◽  
J. Patrick Looney ◽  
Peter E. Barker
Keyword(s):  
Molecular Biology ◽  
Early Detection ◽  
Cancer Prevention ◽  
Cancer Detection ◽  
National Cancer Institute ◽  
Early Detection Of Cancer ◽  
Early Cancer ◽  
Early Cancer Detection ◽  
Recent Meeting ◽  
Interdisciplinary Dialogue

A recent meeting jointly sponsored by the National Cancer Institute (NCI) and National Institute of Standards and Technology (NIST) brought together researchers active in nanotechnology and cancer molecular biology to discuss and evaluate the interface between disciplines. Emerging areas where nanotechnologies may impact cancer prevention and early cancer detection were elaborated by key researchers who catalyzed interdisciplinary dialogue aimed at fostering cross-discipline communications and future collaboration.

scholarly journals Small-area data on socioeconomic status and immigrant groups for evaluating equity of early cancer detection and care

2021 ◽  
pp. 1-6
Author(s):  
Ulf Strömberg ◽  
Brandon L. Parkes ◽  
Amir Baigi ◽  
Carl Bonander ◽  
Anders Holmén ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Cancer Detection ◽  
Small Area ◽  
Early Cancer ◽  
Early Cancer Detection ◽  
Area Data

Dying To Be Men: Masculinity and Early Cancer Detection Among Nigerian Men

2021 ◽  
pp. 0272684X2110049
Author(s):  
Darlingtina Esiaka ◽  
Candidus Nwakasi ◽  
Kelsey Brodie ◽  
Aaron Philip ◽  
Kalu Ogba
Keyword(s):  
Public Health ◽  
Cancer Detection ◽  
Attachment Styles ◽  
Early Cancer ◽  
Sub Saharan Africa ◽  
Early Cancer Detection ◽  
Anxious Attachment ◽  
Incidence And Mortality ◽  
Nigerian Men ◽  
Sub Saharan

Cancer incidence and mortality in Nigeria are increasing at an alarming rate, especially among Nigerian men. Despite the numerous public health campaigns and education on the importance of early cancer detection in Nigeria, there exist high rate of fatal/advanced stage cancer diagnoses among Nigerian men, even among affluent Nigerian men. However, there is limited information on patterns of cancer screening and psychosocial predictors of early cancer detection behaviors among Nigerian men. In this cross-sectional study, we examined demographic and psychosocial factors influencing early cancer detection behaviors among Nigerian men. Participants (N = 143; Mage = 44.73) responded to survey assessing: masculinity, attachment styles, current and future cancer detection behaviors, and sociodemographic characteristics. We found that among the participants studied, education, masculinity and anxious attachment were significantly associated with current cancer detection behaviors. Additionally, education and anxious attachment were significantly associated with future cancer detection behaviors. Our finding is best served for clinicians and public health professionals, especially those in the field of oncology in Sub-Saharan Africa. Also, the study may be used as a groundwork for future research and health intervention programs targeting men in Sub-Saharan Africa.

Machine learning of serum metabolic patterns encodes early-stage lung adenocarcinoma

2021 ◽  
Author(s):  
Lin Huang ◽  
Kun Qian
Keyword(s):  
Machine Learning ◽  
Lung Adenocarcinoma ◽  
Cancer Detection ◽  
High Performance ◽  
Large Scale ◽  
Early Cancer ◽  
Early Stage ◽  
Early Cancer Detection ◽  
Ionization Mass ◽  
Efficient Test

Abstract Early cancer detection greatly increases the chances for successful treatment, but available diagnostics for some tumours, including lung adenocarcinoma (LA), are limited. An ideal early-stage diagnosis of LA for large-scale clinical use must address quick detection, low invasiveness, and high performance. Here, we conduct machine learning of serum metabolic patterns to detect early-stage LA. We extract direct metabolic patterns by the optimized ferric particle-assisted laser desorption/ionization mass spectrometry within 1 second using only 50 nL of serum. We define a metabolic range of 100-400 Da with 143 m/z features. We diagnose early-stage LA with sensitivity~70-90% and specificity~90-93% through the sparse regression machine learning of patterns. We identify a biomarker panel of seven metabolites and relevant pathways to distinguish early-stage LA from controls (p < 0.05). Our approach advances the design of metabolic analysis for early cancer detection and holds promise as an efficient test for low-cost rollout to clinics.

Knowledge of Testicular Cancer Risk and Need for Self-Examination in College Students: A Call for Equal Time for Men in Teaching of Early Cancer Detection Techniques

PEDIATRICS ◽  
1984 ◽  
Vol 74 (6) ◽  
pp. 1093-1096
Author(s):  
John M. Goldenring ◽  
Elizabeth Purtell
Keyword(s):  
Testicular Cancer ◽  
Cancer Detection ◽  
Early Cancer ◽  
Early Cancer Detection ◽  
Men And Women ◽  
Equal Time ◽  
Detection Techniques ◽  
The Past ◽  
Knowledge And Practice ◽  
Self Examination

College athletes were surveyed about their knowledge and practice of early cancer detection techniques. Males were almost completely unaware of their risk for testicular cancer (87%). Only 9.6% had been taught testicular self-examination and only half of these by their physician. Six percent actually examined themselves regularly. In comparison, more than 60% of women had been taught breast self-examination (75% by a physician) and about one third were doing regular examinations. More than 90% of the young men and women had been seen by physicians for a physical examination within the past 3 years. Physicians need to begin educating males about testicular cancer and its early detection.

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