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Articles ( Showing 1-20 of 4 items)
Searched for: [ Keywords: "Biomarker" ] clear all
Review
Unravelling the application of machine learning in cancer biomarker discovery
by Carter William , Choki Wangmo  and  Anjali Ranjan
Abstract
Machine learning is playing an increasingly important role in the healthcare industry by transforming the way cancer is diagnosed and treated. By analyzing patient data, genomic data, and imaging data, machine learning algorithms can identify molecular signatures that distinguish cancer patients from healthy patients. Biomarkers that can accurately detect and diagnose cancer ca [...] Read more

Journal Article
Correlation between the immune microenvironment and bladder cancer based on a prognostic miRNA risk model
by Kun Mei , Zilu Chen , Le Huang , Joyce Wang  and  Yong Wei
Abstract
Background: Bladder cancer (BLCA), particularly invasive BLCA, has become a medical burden worldwide as it is associated with recurrence and easy metastasis. There are specific differences in the expression of various miRNAs in tumor and normal tissues. Hence, miRNAs can be used as biomarkers for tumor diagnosis and prognostic evaluation. The current study aimed to predict the [...] Read more

Review
Liver fibrosis from viral hepatitis: advances in non-invasive diagnosis
by Jincheng Wang , Jinyu Sun , Tao Qin , Xiaohan Ren , Jin Zhang  and  Xiaojie Lu
Abstract
The stages of liver fibrosis can reflect the severity of chronic viral hepatitis and the probability of liver cancer. Biopsy is still regarded as the reference for staging fibrosis, but the invasive method is not suitable for first-line screening. In recent years, noninvasive methods for detecting virus-driven liver fibrosis have been developed rapidly, which mainly include bio [...] Read more

Journal Article
Comprehensive analyses reveal molecular and clinical characteristics of RNA modification writers across 32 cancer types
by Jiayu Ding , Hao Shen , Jiaying Ji , Jiaxing Li , Wenbin Kuang , Zhongrui Shi , Dawei Wang , Yuanyuan Chen , Didi Wan , Xiao Wang  and  Peng Yang
Abstract
Adenosine alterations to RNA, which are largely determined by RNA modification writers (RMWs), are critical for cancer growth and progression. These RMWs can catalyze different types of adenosine modifications, such as N6-methyladenosine (m6A), N1-methyladenosine (m1A), alternative polyadenylation (APA), and adenosine-to-inosine (A-to-I) RNA editing. These modifications have pr [...] Read more