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Peer-reviewedCC BYCancers

Prognostic Value of Systemic Inflammation Markers and Clinical Factors in Grade 4 Diffuse Glioma: A Multicenter Retrospective Real-World Study.

5 affiliations
  1. 1Department of Medical Oncology, Antalya City Hospital, Antalya 07080, Türkiye.
  2. 2Department of Medical Oncology, Faculty of Medicine, Karadeniz Technical University, Trabzon 61080, Türkiye.
  3. 3Department of Medical Oncology, Meram Faculty of Medicine, Necmettin Erbakan University, Konya 42080, Türkiye.
  4. 4Department of Medical Oncology, Adıyaman Training and Research Hospital, Adıyaman 02040, Türkiye.
  5. 5Department of Medical Oncology, Antalya Training and Research Hospital, Antalya 07100, Türkiye.

Abstract

Background/Objectives: Systemic inflammation contributes to tumor growth and spread. We aimed to evaluate the association of pretreatment inflammatory indices and clinical and laboratory factors with survival in newly diagnosed grade 4 diffuse glioma. Methods: A total of 120 patients diagnosed with grade 4 diffuse glioma at four centers between 2013 and 2026 were analyzed retrospectively. Nine indices derived from complete blood counts were calculated. Overall survival (OS) and progression-free survival (PFS) were analyzed with Kaplan-Meier and multivariable Cox regression. The cut-off for the systemic inflammation response index (SIRI) was determined with maximally selected rank statistics. Ten machine learning models were compared with the Cox model using repeated cross-validation. Results: Median follow-up was 70 months. Median OS was 22.8 months (95% confidence interval [CI] 15.8-26.3) and median PFS was 10.9 months (95% CI 9.1-14.4). In the multivariable model, SIRI > 2.85 was independently associated with OS (hazard ratio [HR] 2.62, 95% CI 1.38-4.96, p = 0.003), and this association persisted in the isocitrate dehydrogenase (IDH)-wildtype subgroup (HR 3.06, 95% CI 1.27-7.39, p = 0.013). Hemoglobin was independently associated with PFS (HR per g/dL 0.84, 95% CI 0.73-0.96, p = 0.011). Smoking was an independent indicator of poor prognosis for both OS (HR 2.02) and PFS (HR 1.73). Ki-67 and tumor size were not associated with survival. Machine learning models did not outperform the Cox model, and their variable importance rankings were consistent with the classical analysis. Conclusions: Pretreatment SIRI, hemoglobin, and smoking were independently associated with survival in grade 4 diffuse glioma. These markers are available from routine tests and may contribute to prognostic assessment.

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BibTeX
@article{karancı2026prognostic,
  title = {{Prognostic Value of Systemic Inflammation Markers and Clinical Factors in Grade 4 Diffuse Glioma: A Multicenter Retrospective Real-World Study.}},
  author = {Ece Ulukal Karancı and Gamze Emin and Ahmet Oruç and Esma Uğuztemur and Atila Yıldırım and Melek Karakurt Eryılmaz and Asım Armağan Aydın},
  journal = {Cancers},
  year = {2026},
  month = oct,
  doi = {10.3390/cancers18193192},
  url = {https://europepmc.org/article/MED/42882885},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Prognostic Value of Systemic Inflammation Markers and Clinical Factors in Grade 4 Diffuse Glioma: A Multicenter Retrospective Real-World Study.
AU  - Ece Ulukal Karancı
AU  - Gamze Emin
AU  - Ahmet Oruç
AU  - Esma Uğuztemur
AU  - Atila Yıldırım
AU  - Melek Karakurt Eryılmaz
AU  - Asım Armağan Aydın
PY  - 2026
DA  - 2026/10/02
JO  - Cancers
DO  - 10.3390/cancers18193192
UR  - https://europepmc.org/article/MED/42882885
AB  - Background/Objectives: Systemic inflammation contributes to tumor growth and spread. We aimed to evaluate the association of pretreatment inflammatory indices and clinical and laboratory factors with survival in newly diagnosed grade 4 diffuse glioma. Methods: A total of 120 patients diagnosed with grade 4 diffuse glioma at four centers between 2013 and 2026 were analyzed retrospectively. Nine indices derived from complete blood counts were calculated. Overall survival (OS) and progression-free survival (PFS) were analyzed with Kaplan-Meier and multivariable Cox regression. The cut-off for the systemic inflammation response index (SIRI) was determined with maximally selected rank statistics. Ten machine learning models were compared with the Cox model using repeated cross-validation. Results: Median follow-up was 70 months. Median OS was 22.8 months (95% confidence interval [CI] 15.8-26.3) and median PFS was 10.9 months (95% CI 9.1-14.4). In the multivariable model, SIRI > 2.85 was independently associated with OS (hazard ratio [HR] 2.62, 95% CI 1.38-4.96, p = 0.003), and this association persisted in the isocitrate dehydrogenase (IDH)-wildtype subgroup (HR 3.06, 95% CI 1.27-7.39, p = 0.013). Hemoglobin was independently associated with PFS (HR per g/dL 0.84, 95% CI 0.73-0.96, p = 0.011). Smoking was an independent indicator of poor prognosis for both OS (HR 2.02) and PFS (HR 1.73). Ki-67 and tumor size were not associated with survival. Machine learning models did not outperform the Cox model, and their variable importance rankings were consistent with the classical analysis. Conclusions: Pretreatment SIRI, hemoglobin, and smoking were independently associated with survival in grade 4 diffuse glioma. These markers are available from routine tests and may contribute to prognostic assessment.
SN  - 2072-6694
ER  -