Ming‐Ying Leung
Biographic Data
| ID | 7937544 |
|---|---|
| NAME | Ming‐Ying Leung |
| GIVEN NAMES | Ming‐Ying |
| FAMILY NAME | Leung |
| SIGNATURE | LEUNG M Y |
| AFFILIATIONS | The University of Texas at El Paso |
| ORCID | 0000-0003-2035-1214 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Clinicogenomic Insights for Progression-Free Survival in Prostate Cancer
Prostate cancer (PrCa), the second most common cancer diagnosed in men globally, remains a critical challenge in precision oncology. While PrCa can be deadly, it is highly treatable if detected early. Identifying associative factors influencing disease progression risks can help inform preliminary steps that will further the expedition of clinical therapeutic intervention decisions, which will improve treatment outcomes. While conventional PrCa p…
An Integrative Variant Scoring Function for Finding Novel Genes Associated with Ovarian and Thyroid Cancer
We devised a quantitative scoring function to assess the cumulative effects of somatic nonsynonymous single-nucleotide variants (SNVs) on protein-coding genes in patients with ovarian cancer (OvCa) and thyroid cancer (ThCa). The goal is to find novel candidate cancer-related genes for downstream bioinformatics analyses and wet-lab studies. With the Genomic Data Commons as primary data resource, SNV information was extracted from whole-exome seque…
Exploring Socio-Behavioral Correlates of Metabolic and Inflammatory Risk in a University Sample Residing Along the U.S./Mexico Border
Hispanic adults have an increased incidence of type 2 diabetes (T2D) at a younger age and diagnosis of certain cancers, including liver, stomach, and colorectal, which may be attributed to metabolic health. Several key metabolic health indicators, such as hemoglobin A1c (HbA1c), body mass index (BMI), and waist-to-hip ratio (WHR), have been linked to obesity. The purpose of this pilot study was to explore the complex relationships between socio-b…
Identification of Hub Genes in Different Stages of Colorectal Cancer through an Integrated Bioinformatics Approach
Colorectal cancer (CRC) is the third most common cancer that contributes to cancer-related morbidity. However, the differential expression of genes in different phases of CRC is largely unknown. Moreover, very little is known about the role of stress-survival pathways in CRC. We sought to discover the hub genes and identify their roles in several key pathways, including oxidative stress and apoptosis in the different stages of CRC. To identify th…
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Identification of Hub Genes in Different Stages of Colorectal Cancer through an Integrated Bioinformatics Approach
Colorectal cancer (CRC) is the third most common cancer that contributes to cancer-related morbidity. However, the differential expression of genes in different phases of CRC is largely unknown. Moreover, very little is known about the role of stress-survival pathways in CRC. We sought to discover the hub genes and identify their roles in several key pathways, including oxidative stress and apoptosis in the different stages of CRC. To identify th…
Exploring Socio-Behavioral Correlates of Metabolic and Inflammatory Risk in a University Sample Residing Along the U.S./Mexico Border
Hispanic adults have an increased incidence of type 2 diabetes (T2D) at a younger age and diagnosis of certain cancers, including liver, stomach, and colorectal, which may be attributed to metabolic health. Several key metabolic health indicators, such as hemoglobin A1c (HbA1c), body mass index (BMI), and waist-to-hip ratio (WHR), have been linked to obesity. The purpose of this pilot study was to explore the complex relationships between socio-b…
Clinicogenomic Insights for Progression-Free Survival in Prostate Cancer
Prostate cancer (PrCa), the second most common cancer diagnosed in men globally, remains a critical challenge in precision oncology. While PrCa can be deadly, it is highly treatable if detected early. Identifying associative factors influencing disease progression risks can help inform preliminary steps that will further the expedition of clinical therapeutic intervention decisions, which will improve treatment outcomes. While conventional PrCa p…
An Integrative Variant Scoring Function for Finding Novel Genes Associated with Ovarian and Thyroid Cancer
We devised a quantitative scoring function to assess the cumulative effects of somatic nonsynonymous single-nucleotide variants (SNVs) on protein-coding genes in patients with ovarian cancer (OvCa) and thyroid cancer (ThCa). The goal is to find novel candidate cancer-related genes for downstream bioinformatics analyses and wet-lab studies. With the Genomic Data Commons as primary data resource, SNV information was extracted from whole-exome seque…
Bioinformatics and Genomic Networks (2 works) · Cancer (2 works) · Ferroptosis and cancer prognosis (2 works) · Gene (2 works) · KEGG (2 works) · Abdominal obesity (1 works) · Bioinformatics (1 works) · Biological pathway (1 works) · Biology (1 works) · Body mass index (1 works)