Ekrem Islamoglu

Dr. Ekrem Islamoglu

orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2018
Verified
Journal Article
Closed access
EIEkrem Islamoglu
Ekrem Islamoglu
KKKaan Karamik
Kaan Karamik
COCagatay Ozsoy
Cagatay Ozsoy
HTHusnu Tokgoz
Husnu Tokgoz
MAMutlu Ates
Mutlu Ates
MSMurat Savas
Murat Savas

1 June 2019 in Journal of Urological Surgery
Verified
Journal Article
Closed access
SYSoner Yalçınkaya
Soner Yalçınkaya
AYAli Yıldız
Ali Yıldız
MYMustafa Yüksel
Mustafa Yüksel
EIEkrem Islamoglu
Ekrem Islamoglu
NANihat Ateş
Nihat Ateş
MSMurat Savaş
Murat Savaş

25 October 2018 in Urolithiasis
Verified
Journal Article
Closed access
PDF file
EIEkrem Islamoglu
Ekrem Islamoglu
STSelim Tas
Selim Tas
KKKaan Karamik
Kaan Karamik
SYSoner Yalcinkaya
Soner Yalcinkaya
HTHusnu Tokgoz
Husnu Tokgoz
MSMurat Savas
Murat Savas

24 September 2025 in Current Oncology
Verified
Journal Article
Open access
PDF file
AEAli Erhan Eren
Ali Erhan Eren
Asim Armagan AydinAsim Armagan Aydin
Asim Armagan Aydin
EAEren Erdi Aksaray
Eren Erdi Aksaray
ADArda Durak
Arda Durak
AUAhmet Unlu
Ahmet Unlu
MYMustafa Yıldız
Mustafa Yıldız
Background: Urothelial carcinoma of the bladder (UCB) demonstrates considerable heterogeneity, with markedly varying outcomes between non–muscle-invasive bladder cancer (NMIBC) and muscle-invasive bladder cancer (MIBC). The pan-immune-inflammation value (PIV), derived from routine hematological parameters, has emerged as a novel biomarker reflecting systemic inflammation and immune dysregulation. This pilot, exploratory analysis evaluated the prognostic relevance of the PIV in UCB and contextualized PIV against other inflammation-based indices. Methods: We retrospectively analyzed 119 patients with histologically confirmed UCB who were treated between 2019 and 2024. PIV was calculated as (neutrophils × platelets × monocytes) ÷ lymphocytes. Additional indices included the NLR, SII, SIRI, and PLR. Progression-free survival (PFS) and overall survival (OS) were estimated using Kaplan–Meier analysis, and prognostic factors were assessed using Cox regression. Results: Among 119 patients (median age, 72 years; 88% male), 68 were diagnosed with NMIBC and 51 with MIBC. Elevated PIV levels were significantly associated with NMIBC progression to MIBC (p = 0.028) and strongly correlated with NLR, SII, SIRI, and PLR. Patients with high PIV exhibited shorter OS (24 vs. 45 months) and PFS (20 vs. 35 months) than those with low patients (p < 0.001). Although the prognostic value was evident in the univariate analyses, PIV did not retain significance in multivariate models. Conclusion: Elevated PIV levels predict adverse survival outcomes and progression in UCB, underscoring its potential as a cost-effective and accessible biomarker for risk stratification. Prospective validation in larger cohorts is warranted to confirm its role in personalized patient management.

1 December 2018 in Üroonkoloji Bülteni
Verified
Journal Article
Closed access
HAHakan Anıl
Hakan Anıl
KKKaan Karamık
Kaan Karamık
STSelim Taş
Selim Taş
EIEkrem Islamoglu
Ekrem Islamoglu
ÇÖÇağatay Özsoy
Çağatay Özsoy
MSMurat Savaş
Murat Savaş

1 March 2019 in Üroonkoloji Bülteni
Verified
Journal Article
Closed access
EIEkrem Islamoglu
Ekrem Islamoglu
YAYasin Aktaş
Yasin Aktaş
ÖAÖzgür Arı
Özgür Arı
HAHakan Anıl
Hakan Anıl
AYAli Yıldız
Ali Yıldız
MSMurat Savaş
Murat Savaş