A5020971495- Thyroid Cancer Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Bioinformatics and Genomic Networks
- Lung Cancer Research Studies
- Cancer Immunotherapy and Biomarkers
- Bioactive Compounds and Antitumor Agents
- Inhalation and Respiratory Drug Delivery
- Global Cancer Incidence and Screening
- Lung Cancer Treatments and Mutations
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Synthesis and biological activity
- Renal cell carcinoma treatment
- Mycobacterium research and diagnosis
- Cytokine Signaling Pathways and Interactions
- Cell death mechanisms and regulation
- Circular RNAs in diseases
Peking University
2024
Kunming Medical University
2024
Peking University Cancer Hospital
2024
Gilead Sciences (United States)
2023
Tongji Hospital
2020
Huazhong University of Science and Technology
2020
The survival rate of patients with distant metastasis (DM) papillary thyroid carcinoma (PTC) is significantly reduced. It great significance to find an effective method for early prediction the risk DM formulating individualized diagnosis and treatment plans improving prognosis. Previous studies have significant limitations, it still necessary develop new models predicting PTC. We aimed validate interpretable machine learning (ML) in PTC using a multicenter cohort. collected data on who were...
Objectives: IO agents that block the programmed cell death protein 1 (PD-1) and death-ligand (PD-L1) have been approved in monotherapy or combination settings for treatment of mNSCLC. The objectives this work were to: (1) Develop MBMAs based on objective response rate (ORR), median progression free survival (mPFS), overall (mOS), Grade ≥3 treatment-related adverse events (TRAEs Gr3+); (2) Draw a comparative landscape evaluate tradeoffs between clinical benefit risk amongst agents. Methods:...
The rising global high incidence of differentiated thyroid carcinoma (DTC) has led to a significant increase in patients presenting with lung metastasis DTC (LMDTC). This population poses challenge clinical practice, necessitating the urgent development effective risk stratification methods and predictive tools for metastasis.
<div>AbstractPurpose:<p>The rising global high incidence of differentiated thyroid carcinoma (DTC) has led to a significant increase in patients presenting with lung metastasis DTC (LMDTC). This population poses challenge clinical practice, necessitating the urgent development effective risk stratification methods and predictive tools for metastasis.</p>Experimental Design:<p>Through proteomic analysis large samples primary lesion dual validation employing parallel...
<div>AbstractPurpose:<p>The rising global high incidence of differentiated thyroid carcinoma (DTC) has led to a significant increase in patients presenting with lung metastasis DTC (LMDTC). This population poses challenge clinical practice, necessitating the urgent development effective risk stratification methods and predictive tools for metastasis.</p>Experimental Design:<p>Through proteomic analysis large samples primary lesion dual validation employing parallel...
<p>Figure S2. Principal component analysis of patients in LMDTC (M) group and NMDTC (NM) group.</p>
<p>Figure S4. WGCNA analysis of the proteomics data.</p>
<p>Figure S4. WGCNA analysis of the proteomics data.</p>
<p>Figure S3. Unsupervised clustering analysis of all samples using the expression profiles differentially expressed proteins.</p>
<p>Figure S3. Unsupervised clustering analysis of all samples using the expression profiles differentially expressed proteins.</p>
<p>Figure S5. Protein expression categorized into 4 levels.</p>
<p>Figure S1. Statistical chart of protein identification results.</p>
<p>Figure S6. Specific performance of the 3 risk prediction models for lung metastasis in DTC.</p>
<p>Figure S2. Principal component analysis of patients in LMDTC (M) group and NMDTC (NM) group.</p>
<p>KEGG Analysis Table of Differential Proteins</p>
<p>Figure S1. Statistical chart of protein identification results.</p>