Biomarkers for Early Cancer Diagnosis: Prospects for Success through the Lens of Tumor Genetics

BioEssays ◽  
2020 ◽  
Vol 42 (4) ◽  
pp. 1900122
Author(s):  
Tommaso A. Dragani ◽  
Valerie Matarese ◽  
Francesca Colombo
Keyword(s):  
Cancer Diagnosis ◽  
Early Cancer ◽  
Early Cancer Diagnosis ◽  
Tumor Genetics

scholarly journals Gene Expression Correlation for Cancer Diagnosis: A Pilot Study

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Binbing Ling ◽  
Lifeng Chen ◽  
Qiang Liu ◽  
Jian Yang
Keyword(s):  
Pilot Study ◽  
Cancer Progression ◽  
Cancer Diagnosis ◽  
Early Cancer ◽  
Correlation Coefficients ◽  
Gene Expressions ◽  
Clinical Biomarkers ◽  
Biomolecular Networks ◽  
Early Cancer Diagnosis ◽  
Novel Strategy

Poor prognosis for late-stage, high-grade, and recurrent cancers has been motivating cancer researchers to search for more efficient biomarkers to identify the onset of cancer. Recent advances in constructing and dynamically analyzing biomolecular networks for different types of cancer have provided a promising novel strategy to detect tumorigenesis and metastasis. The observation of different biomolecular networks associated with normal and cancerous states led us to hypothesize that correlations for gene expressions could serve as valid indicators of early cancer development. In this pilot study, we tested our hypothesis by examining whether the mRNA expressions of three randomly selected cancer-related genesPIK3C3,PIM3, andPTENwere correlated during cancer progression and the correlation coefficients could be used for cancer diagnosis. Strong correlations(0.68≤r≤1.0)were observed betweenPIK3C3andPIM3in breast cancer, betweenPIK3C3andPTENin breast and ovary cancers, and betweenPIM3andPTENin breast, kidney, liver, and thyroid cancers during disease progression, implicating that the correlations for cancer network gene expressions could serve as a supplement to current clinical biomarkers, such as cancer antigens, for early cancer diagnosis.

Endoscopic Ultraviolet-Induced Autofluorescence Spectroscopy of the Esophagus: Tissue Characterization and Potential for Early Cancer Diagnosis

Endoscopy ◽  
2000 ◽  
Vol 32 (10) ◽  
pp. 756-765 ◽  
Author(s):  
G. Bourg-Heckly ◽  
J. Blais ◽  
J.-J. Padilla ◽  
O. Bourdon ◽  
J. Etienne ◽  
...  
Keyword(s):  
Cancer Diagnosis ◽  
Tissue Characterization ◽  
Early Cancer ◽  
Early Cancer Diagnosis ◽  
Autofluorescence Spectroscopy

scholarly journals Improving early cancer diagnosis in primary care

Prescriber ◽  
2020 ◽  
Vol 31 (9) ◽  
pp. 10-14
Author(s):  
Samuel W D Merriel ◽  
Willie Hamilton
Keyword(s):  
Primary Care ◽  
Cancer Diagnosis ◽  
Early Cancer ◽  
Early Cancer Diagnosis

Early Versus Late Computed Tomography and Nasal Endoscopy in the Diagnosis of Nasopharyngeal and Paranasal Sinus Malignancy

2019 ◽  
Vol 33 (4) ◽  
pp. 388-394 ◽  
Author(s):  
Michael J. Marino ◽  
Mei-Chin Hsieh ◽  
Eric L. Wu ◽  
Charles A. Riley ◽  
Xiao-Cheng Wu ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Overall Survival ◽  
Relative Risk ◽  
Paranasal Sinus ◽  
Cancer Diagnosis ◽  
Clinical Utility ◽  
Early Cancer ◽  
Disease Stage ◽  
Nasal Endoscopy ◽  
Early Cancer Diagnosis

Background Chronic rhinosinusitis (CRS) and allergic rhinitis (AR) may be associated with an increased risk of subsequent diagnosis of nasopharyngeal carcinoma (NPC) or paranasal sinus cancer (PSC) in elderly Americans. The clinical utility of this association remains uncertain. Objective To compare early computed tomography (CT) or nasal endoscopy (NE) with late diagnostic studies for the diagnosis of NPC or PSC in elderly Americans with CRS or AR. Methods The Surveillance, Epidemiology, and End Results (SEER)-Medicare database was queried from 2003 to 2011 and included 150 088 Medicare beneficiaries. Patients with a diagnosis of CRS or AR were examined for either NE or CT performed within 6 months of the exposure diagnosis. The risk of a cancer diagnosis was determined between the early and the late diagnostic groups. Results The relative risk of early cancer diagnosis with NE was 1.98 (95% confidence interval [CI], 1.60–2.43). The number needed to detect (NND) a case of cancer with NE was 503 (95% CI, 387–718). The relative risk of an early cancer diagnosis using CT was 3.40 (95% CI, 2.85–4.06) and NND was 221 (95% CI, 194–255). The stage of NPC or PSC for the late diagnostic group was not different from those with early NE ( P = .458) or CT ( P = .497). Overall survival was not different between diagnostic groups for NE ( P = .789) or CT ( P = .425). Conclusions Early NE or CT is associated with a higher likelihood of cancer diagnosis in elderly individuals with a diagnosis of CRS or AR. The clinical utility of this association is limited due to the low prevalence of these malignancies and lack of difference in disease stage and overall survival between diagnostic groups.

Spatial-temperature high resolution map for early cancer diagnosis

2009 ◽  
Author(s):  
Gheorghe V. Gavriloaia ◽  
Anca Hurduc ◽  
Ana-Maria Ghimigean ◽  
Radu Fumarel
Keyword(s):  
High Resolution ◽  
Cancer Diagnosis ◽  
Early Cancer ◽  
Early Cancer Diagnosis ◽  
High Resolution Map ◽  
Spatial Temperature ◽  
Resolution Map

scholarly journals Oral brush biopsy analysis by MALDI-ToF Mass Spectrometry for early cancer diagnosis

Oral Oncology ◽  
2013 ◽  
Vol 49 (2) ◽  
pp. 152-156 ◽  
Author(s):  
Katja Maurer ◽  
Klaus Eschrich ◽  
Wolfgang Schellenberger ◽  
Julia Bertolini ◽  
Stefan Rupf ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Cancer Diagnosis ◽  
Early Cancer ◽  
Brush Biopsy ◽  
Maldi Tof Mass Spectrometry ◽  
Maldi Tof ◽  
Early Cancer Diagnosis ◽  
Oral Brush Biopsy

Highly sensitive fluorescence quantification of intracellular telomerase activity by repeat G-rich DNA enhanced silver nanoclusters

2018 ◽  
Vol 6 (28) ◽  
pp. 4583-4591 ◽  
Author(s):  
Shan Huang ◽  
Huiqin Yao ◽  
Wenjing Wang ◽  
Jian-Rong Zhang ◽  
Jun-Jie Zhu
Keyword(s):  
Cancer Diagnosis ◽  
Therapeutic Target ◽  
Early Cancer ◽  
Telomerase Activity ◽  
Silver Nanoclusters ◽  
Early Cancer Diagnosis ◽  
Highly Sensitive

As an important biomarker for early cancer diagnosis and a valuable therapeutic target, the detection and monitoring of telomerase activity has attracted extensive attention.

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