For Authors|For Editors|For Reviewers

Collections

Novel Biomarkers and Therapeutic Targets for Chronic Diseases in Precision Medicine
Editor: Luigi Sapio and Angela Ragone

Submission Deadline: 31 March 2026 (Status: Open)


Special Issue Editor(s)


Dr. Luigi Sapio      Email   |   Website
Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, Naples, Italy
Interests: adipokines; AdipoRon; cAMP; protein kinase A; CREB; cancer; chemotherapy; immunotherapy; signaling pathways



Dr. Angela Ragone      Email   |   Website
Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, Naples, Italy; Department of Mechanistic Cell Biology, Max Planck Institute of Molecular Physiology, Dortmund, Germany
Interests: clinical biochemistry; precision medicine; biomarkers; cell cycle; centromere; mitosis; cancer; molecular mechanisms


Special Issue Information

Dear Colleagues,

The rising global population and increasing life expectancy have elevated chronic diseases to the forefront of global health, posing significant health, economic, and social challenges. Despite considerable overlap in clinical symptoms across chronic conditions, the underlying molecular and pathophysiological mechanisms can vary significantly between individuals. The one-size-fits-all approach adopted by traditional medicine has often proven inadequate in addressing the complexities of chronic illnesses, underscoring the urgent need for individualized care paradigm.

The identification of innovative biomarkers is pivotal for disease stratification, early diagnosis, and prognosis, while the discovery of novel therapeutic targets offers opportunities for tailored treatments that meet the unique needs of an individual patient. This special issue is dedicated to exploring biomarker-related and target-based research in chronic disease assessment, with a particular emphasis on cancer. We aim to showcase advances in molecular profiling, the application of omics technologies, and translational studies that bridge basic and clinical research. We welcome contributions addressing the challenges and opportunities in implementing personalized therapeutic strategies and emphasizing their practical applications in managing chronic diseases. Through this multidisciplinary approach, we aim to highlight the latest findings that support patient-centered interventions, ultimately advancing precision medicine in chronic disease management.

Dr. Luigi Sapio and Dr. Angela Ragone
Guest Editors


Keywords

cancer; chronic inflammation; diabetes; autoimmune disease; neurodegenerative disease; predictive biomarkers; prognostic biomarker; personalized therapy; immunomodulation; targeted therapy


Manuscript Submission Information

Manuscripts should be submitted via our online editorial system at https://www.discovmed.com/Journalx_dm/authorLogOn.action by registering and logging in to this website. Once you are registered, click here to start your submission. Manuscripts can be submitted now or up until the deadline. All papers will go through peer-review process. Accepted papers will be published in the journal (as soon as accepted) and meanwhile listed together on the special issue website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts will be thoroughly refereed through a double-blind peer-review process. Please visit the Instruction for Authors page before submitting a manuscript. Submitted manuscripts should be well formatted in good English.

Journal
Publication year
Channels
Sort by Default Latest Most read  
Please wait a minute...
  • Select all
    |
  • Article
    Yan Li, Huiying Li, Li Shi, Ying Cui
    Discovery Medicine. 2026, 38(205): 453-467. https://doi.org/10.24976/Discov.Med.202638205.38

    Background: The persistent expression of high-risk human papillomavirus (hrHPV) E6 oncoproteins is a critical determinant in driving and maintaining the malignant phenotype of cervical cancer, a pathogenic process where autophagy serves as a key regulatory mechanism. This study aimed to identify autophagy-related genes as potential biomarkers for prognostic evaluation in cervical cancer.

    Methods: This study established an HPV 16 E6-induced C33a cervical cancer cell model, which was treated with the autophagy activator rapamycin or inhibitor 3-methyladenine to modulate autophagy. The expression of the autophagy-related gene C-X-C motif chemokine ligand 8 (CXCL8) was analyzed by reverse transcription-quantitative PCR (RT-qPCR), western blotting, and enzyme-linked immunosorbent assay. Cell viability, migration, invasion, and apoptosis were assessed using the Cell Counting Kit-8 assay, wound healing assay, Transwell assay, and Terminal deoxynucleotidyl transferase–mediated deoxyuridine triphosphate nick-end labeling (TUNEL) assays, respectively. Furthermore, CXCL8 expression levels in tumor tissues from cervical cancer patients with favorable (n = 81) and unfavorable (n = 61) prognosis were examined by immunohistochemistry and RT-qPCR. Univariate and multivariate Cox proportional hazards regression analyses were conducted to identify independent risk factors influencing disease-free survival (DFS) in cervical cancer patients. Receiver operating characteristic (ROC) curve analysis was employed to evaluate the predictive value of CXCL8 for unfavorable prognosis risk.

    Results: Mechanistic studies indicated the participation of CXCL8 in HPV 16 E6–induced malignant phenotypes. The autophagy activator rapamycin or CXCL8-neutralizing antibody could neutralize the oncogenic effects of HPV 16 E6. CXCL8 was highly expressed in tumor tissues with poor prognosis. It showed correlations with poor tumor differentiation, cervical infiltration depth ≥2/3, and lymph node metastasis, independent of clinical stage. CXCL8 was identified as an independent prognostic factor in cervical cancer [hazard ratio = 3.143, 95% confidence interval (CI): 1.519–6.507, p = 0.002] and was significantly correlated with inferior DFS (χ2 = 34.905, p < 0.0001). Furthermore, a model combining CXCL8 with squamous cell carcinoma antigen and cytokeratin 19 fragment showed promising prognostic accuracy, achieving an area under the curve of 0.897 (95% CI: 0.835–0.942) with 90.16% sensitivity and 88.89% specificity.

    Conclusion: The CXCL8 gene promotes cervical cancer progression by contributing to the regulation of autophagy mediated by HPV 16 E6. This functional role underpins its potential utility as a clinical prognostic biomarker.