Predictive Biomarkers in Oncology

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Clinical Laboratory Medicine".

Deadline for manuscript submissions: 31 January 2026 | Viewed by 142

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Guest Editor
Department of Clinical Laboratory, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China
Interests: biomarker and its clinical application; development of new automation technique for clinical diagnosis; personal diagnosis
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Special Issue Information

Dear Colleagues,

Advances in precision medicine have highlighted the critical role of predictive biomarkers in oncology, enabling tailored therapies and improving patient outcomes. This Special Issue focuses on the discovery, validation, and clinical application of biomarkers that predict treatment response, resistance, and prognosis in cancer. We invite original research, reviews, and perspectives on cutting-edge technologies (e.g., genomics, proteomics, liquid biopsy) and their integration into clinical decision making. Topics include novel biomarker identification, computational modeling, and translational challenges in diverse cancer types. By compiling the latest advancements, this Special Issue aims to foster innovation in personalized oncology and guide future research directions.

Prof. Dr. Jun Zhang
Guest Editor

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Keywords

  • predictive biomarkers
  • precision oncology
  • liquid biopsy
  • treatment response
  • biomarker validation

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Published Papers (1 paper)

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Research

18 pages, 743 KB  
Article
Prognostic Value of the PILE Score in Esophageal Squamous Cell Carcinoma Treated with Neoadjuvant Chemoradiotherapy
by Aykut Turhan, Mehmet Emin Büyükbayram, Zekeriya Hannarici, Alperen Akansel Çağlar, Mehmet Bilici and Salim Başol Tekin
Diagnostics 2025, 15(24), 3158; https://doi.org/10.3390/diagnostics15243158 - 11 Dec 2025
Viewed by 99
Abstract
Background: This retrospective cohort study evaluated the role of the PILE score as a prognostic biomarker for overall survival (OS) and progression-free survival (PFS) in patients with locally advanced esophageal squamous cell carcinoma (ESCC) who were treated with neoadjuvant chemoradiotherapy (nCRT). Methods: This [...] Read more.
Background: This retrospective cohort study evaluated the role of the PILE score as a prognostic biomarker for overall survival (OS) and progression-free survival (PFS) in patients with locally advanced esophageal squamous cell carcinoma (ESCC) who were treated with neoadjuvant chemoradiotherapy (nCRT). Methods: This study included 108 patients with ESCC treated with weekly paclitaxel-carboplatin and concurrent radiotherapy at Erzurum Atatürk University Faculty of Medicine Hospital between January 2018 and April 2024. Patients were categorized into low- (PILE score 0–1) and high-risk (PILE score 2–3) groups. Kaplan–Meier analysis and Cox regression models were used to evaluate the association between the PILE score and survival outcomes. Results: The results showed that the high-risk PILE group had significantly shorter median OS (18.6 months vs. not reached; p < 0.001) and PFS (12.4 months vs. not reached; p < 0.001) than the low-risk group. Multivariate analysis showed that the PILE risk classification [hazard ratio (HR) = 2.527; 95% confidence interval (CI): 1.380–4.629; p = 0.003] and surgical resection (HR = 0.249; 95% CI: 0.090–0.683; p = 0.007) were independent prognostic factors for OS, whereas the PILE risk classification (HR = 2.932; 95% CI: 1.525–5.639; p = 0.001) and surgical resection (HR = 0.131; 95% CI: 0.044–0.394; p < 0.001) were independent prognostic factors for PFS. Conclusions: The study concludes that the PILE score is a robust prognostic tool for OS and PFS in patients with ESCC undergoing nCRT, highlighting its potential for risk stratification and personalized treatment planning. Full article
(This article belongs to the Special Issue Predictive Biomarkers in Oncology)
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