AIMC Topic: Biomarkers, Tumor

Clear Filters Showing 1391 to 1400 of 1403 articles

Serum Level of Matrix Metalloproteinase-9 in Patients with Head and Neck Squamous Cell Carcinoma.

Clinical laboratory Aug 1, 2016
BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) is characterized by the upregulation of a large number of matrix metalloproteinases (MMPs). The aim of the study was to investigate the level of MMP-9 in the sera of HNSCC patients and its rel...
Middle Aged Aged, 80 and over Squamous Cell Carcinoma of Head and Neck Adult Head and Neck Neoplasms Matrix Metalloproteinase 9 Biomarkers, Tumor Neoplasm Staging Male Humans Female Carcinoma, Squamous Cell Aged
View on PubMed DOI

A scoring system based on artificial neural network for predicting 10-year survival in stage II A colon cancer patients after radical surgery.

Oncotarget Apr 19, 2016
Nearly 20% patients with stage II A colon cancer will develop recurrent disease post-operatively. The present study aims to develop a scoring system based on Artificial Neural Network (ANN) model for predicting 10-year survival outcome. The clinical ...
Neural Networks, Computer Female Risk Factors Aged Adult Humans Area Under Curve Neoplasm Recurrence, Local Biomarkers, Tumor Colonic Neoplasms Male Disease-Free Survival Middle Aged Kaplan-Meier Estimate ROC Curve
View on PubMed DOI

The role of HE4 and CA125 in differentiation between malignant and non-malignant endometrial pathologies.

Ginekologia polska Jan 1, 2016
OBJECTIVES: The aim of the study was to assess the role of HE4 and CA125 in differentiation between malignant and non-malignant endometrial pathologies.
Neoplasm Invasiveness Proteins Neoplasm Staging Endometrial Neoplasms Retrospective Studies Humans CA-125 Antigen Biomarkers, Tumor Female WAP Four-Disulfide Core Domain Protein 2 Middle Aged Adult Case-Control Studies Endometrium
View on PubMed DOI

Assessing the association between 25-OH vitamin D levels and ROMA score in a population of obese women.

Journal of biological regulators and homeostatic agents Jan 1, 2016
The “Risk of Malignancy Algorithm” (ROMA) combines the diagnostic power of the CA125 and HE4 markers with menopausal status to predict the risk for developing epithelial ovarian cancer (EOC). The aim of this study was to evaluate the association betw...
Carcinoma, Ovarian Epithelial Neoplasms, Glandular and Epithelial Enzyme-Linked Immunosorbent Assay Vitamin D Obesity Ovarian Neoplasms Sensitivity and Specificity Bone Density Biomarkers, Tumor Female Middle Aged Risk Factors ROC Curve Young Adult Humans Adult Algorithms
View on PubMed

Classifying prostate cancer patients based on total prostate-specific antigen and free prostate-specific antigen features by support vector machine.

Journal of cancer research and therapeutics Jan 1, 2016
AIMS OF STUDY: In this work, we enhanced the role of prostate-specific antigen (PSA) test by examining the relation between free PSA (fPSA) and total PSA (tPSA) value and other biological information such as age and volume of prostate. Our primary go...
Prostate-Specific Antigen Biopsy Aged, 80 and over Tumor Burden Adult Sensitivity and Specificity Humans Biomarkers, Tumor ROC Curve Reproducibility of Results Male Support Vector Machine Aged Middle Aged Prostatic Neoplasms
View on PubMed DOI

Evaluation of Machine Learning Algorithm Utilization for Lung Cancer Classification Based on Gene Expression Levels.

Asian Pacific journal of cancer prevention : APJCP Jan 1, 2016
BACKGROUND: Lung cancer remains one of the most common cancers in the world, both in terms of new cases (about 13% of total per year) and deaths (nearly one cancer death in five), because of the high case fatality. Errors in lung cancer type or malig...
Small Cell Lung Carcinoma Databases, Factual Carcinoma, Squamous Cell Biomarkers, Tumor Gene Expression Profiling Adenocarcinoma Support Vector Machine Decision Trees Case-Control Studies Lung Neoplasms Humans Machine Learning Algorithms
View on PubMed DOI

Intraoperative Diagnosis Support Tool for Serous Ovarian Tumors Based on Microarray Data Using Multicategory Machine Learning.

International journal of gynecological cancer : official journal of the International Gynecological Cancer Society Jan 1, 2016
OBJECTIVES: Serous borderline ovarian tumors (SBOTs) are a subtype of serous ovarian carcinoma with atypical proliferation. Frozen-section diagnosis has been used as an intraoperative diagnosis tool in supporting the fertility-sparing surgery by diag...
Female Survival Rate Biomarkers, Tumor Gene Expression Profiling Monitoring, Intraoperative Humans Machine Learning Prognosis Support Vector Machine Databases, Genetic Ovarian Neoplasms Predictive Value of Tests Blotting, Western Real-Time Polymerase Chain Reaction Reverse Transcriptase Polymerase Chain Reaction RNA, Messenger Gene Expression Regulation, Neoplastic Cystadenocarcinoma, Serous Neoplasm Staging Carcinoma, Ovarian Epithelial Immunoenzyme Techniques Neoplasms, Glandular and Epithelial
View on PubMed DOI

HUMAN DNA QUANTIFICATION IN THE STOOLS OF PATIENTS WITH COLORECTAL CANCER.

Arquivos de gastroenterologia Dec 1, 2015
BACKGROUND: Colorectal cancer is one of the main cause of cancer in the world. Colonoscopy is the best screen method, however the compliance is less than 50%. Quantification of human DNA (hDNA) in the feces may be a possible screen non-invasive metho...
Humans Female Colorectal Neoplasms Biomarkers, Tumor Male Reproducibility of Results Sensitivity and Specificity Neoplasm Staging Colonoscopy DNA, Neoplasm Polymerase Chain Reaction Case-Control Studies Feces ROC Curve
View on PubMed DOI

In silico discovery of significant pathways in colorectal cancer metastasis using a two-stage optimisation approach.

IET systems biology Dec 1, 2015
Accurate and reliable modelling of protein-protein interaction networks for complex diseases such as colorectal cancer can help better understand mechanism of diseases and potentially discover new drugs. Different machine learning methods such as emp...
Neoplasm Metastasis Computer Simulation Biomarkers, Tumor Female Male Colorectal Neoplasms Support Vector Machine Humans Models, Biological
View on PubMed DOI

[Fragments Woven into a Whole: A New Approach to the Diagnosis of Cancer through Mass Spectrometry and Machine-Learning].

Rinsho byori. The Japanese journal of clinical pathology Sep 1, 2015
Conventionally, a definitive diagnosis of cancer is derived from histopathological diagnostics based on morphological criteria that are difficult to standardize on a quantifiable basis. On the other hand, while molecular tumor markers and blood bioch...
Databases, Factual Biomarkers, Tumor Neoplasms Early Detection of Cancer Spectrometry, Mass, Electrospray Ionization Humans Machine Learning
View on PubMed
Popular Topics
Recent Journals