Special Issue
Submission Closed
Novel Molecular Biomarkers for Disease Diagnosis, Prognosis, and Treatment
01About This Special Issue
The identification and clinical translation of novel molecular biomarkers have become pivotal for realizing the promise of precision medicine. Recent advances in multi-omics technologies, single-cell analytics, and artificial intelligence have dramatically accelerated the discovery of biomolecules—ranging from circulating nucleic acids and exosomal cargos to post-translational modifications—that can serve as robust indicators of disease onset, progression, and therapeutic response. Despite these breakthroughs, significant challenges remain in validating biomarker specificity, standardizing detection platforms, and integrating multi-dimensional data into actionable clinical workflows. Addressing these gaps is essential to shorten diagnostic odysseys, refine risk stratification, and guide individualized therapies across diverse pathologies.
The primary goal of this special issue is to showcase cutting-edge research that advances the discovery, validation, and clinical implementation of innovative molecular biomarkers for diagnosis, prognosis, and treatment monitoring. We invite contributions that explore molecular signatures across the full spectrum of human disease, with particular interest in high-resolution biomarkers that can be translated into minimally invasive assays or companion diagnostics.
We welcome original research articles, comprehensive reviews, methodology papers, case studies, and perspective pieces that provide mechanistic insight, technological innovation, or clinical validation. Studies demonstrating cross-platform reproducibility, prospective cohort validation, or integration into real-world clinical settings are especially encouraged.
Through this special issue, we aim to curate a state-of-the-art collection that bridges fundamental discovery science with actionable clinical applications, accelerating the adoption of next-generation molecular biomarkers into everyday practice. We welcome researchers from pharmacology, oncology, neurology, cardiology, infectious diseases, data science, and regulatory sciences to provide interdisciplinary perspectives on this rapidly evolving field. Your contributions will play a crucial role in advancing knowledge and improving patient outcomes worldwide.
Potential topics include, but are not limited to:
- Multi-Omics Biomarker Discovery Integrating Genomics, Transcriptomics, Proteomics, Metabolomics, and Epigenomics Data
- Liquid Biopsy Analytes (cfDNA, cfRNA, Exosomal Proteins/miRNAs, Circulating Tumor Cells) for Early Detection and Minimal Residual Disease Monitoring
- Single-Cell and Spatially Resolved Biomarkers that Capture Intra-Tumoral Heterogeneity or Tissue Micro-Environmental Signatures
- Epigenetic and Post-Translational Modificat as Dynamic Predictors of Drug Response or Resistance
- AI-Driven Biomarker Panels and Machine-Learning Models for Risk Prediction and Therapeutic Stratification
- Regulatory and Standardization Challenges in Bringing Novel Molecular Biomarkers from Bench to Bedside
- Companion Diagnostic Development Co-Aligned with Targeted or Gene-Editing Therapies (e.g., CRISPR, RNAi, CAR-T)
02Meet the Guest Editors
Our distinguished editors bring deep subject-matter expertise to curate high-quality research and ensure a rigorous peer-review process.
Lead Guest Editor
Shenghui Qiu
The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
Guest Editor
Jianqin Lai
Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China
Guest Editor
Zhan Zhao
The First School of Clinical Medicine, Guangzhou Medical University, Guangzhou, China
Guest Editor
Hanyang Guan
The First Affiliated Hospital of Guangdong Medical University, Guangdong Medical University, Guangzhou, China
Guest Editor
Jiashuai He
The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
Guest Editor
Taiwei Mo
The Sixth Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, China
