Yusuf Acikgoz

Yusuf Acikgoz

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

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12 October 2023 in International Journal of Cancer
Verified
Journal Article
Closed access
NWNathaniel R. Wilson
Nathaniel R. Wilson
YAYusuf Acikgoz
Yusuf Acikgoz
EHElshad Hasanov
Elshad Hasanov

16 April 2020 in Asia-Pacific Journal of Clinical Oncology
Verified
Journal Article
Closed access
PDF file
GUGokhan Ucar
Gokhan Ucar
YEYakup Ergun
Yakup Ergun
YAYusuf Acikgoz
Yusuf Acikgoz
DUDoğan Uncu
Doğan Uncu

25 April 2023 in Journal of Cancer Research and Therapeutics
Verified
Journal Article
Open access
OBOznur Bal
Oznur Bal
YAYusuf Acikgoz
Yusuf Acikgoz
BYBirol Yildiz
Birol Yildiz
FKFahriye T. Kos
Fahriye T. Kos
EAEfnan Algin
Efnan Algin
MDMutlu Dogan
Mutlu Dogan
Background: Inflammation markers are the new point of view in cancer due to increasing data on the interaction of immune system with tumor cells and their prognostic and predictive importance were found in many different types of solid tumors. Therefore, we aimed to evaluate the prognostic value of neutrophil-lymphocyte ratio (NLR), neutrophil-platelet score (NPS), and systemic inflammation index (SII) in Ewing sarcoma patients in which risk groups are still not clearly defined. Methods and Results: A total of 64 patients were evaluated retrospectively. Receiver operating characteristic analysis was performed to find cut-off values for NLR and SII. Survival analysis was calculated by using Kaplan–Meier method. Cox regression analysis was performed to determine prognostic factors such as age, stage, and neoadjuvant chemotherapy were statistically significant prognostic factors for OS in multivariate analysis. While patients with low NLR and SII had longer OS (P = 0.003 and P = 0.018), patients with high NPS score had shorter OS (67.7 vs 21.7 months, P = 0.001). Conclusion: Patients with lower NLR, NPS, and SII score have a better prognosis compared with those with higher NLR, NPS, and SII score and these simple parameters may be monitoring tools of the tumor microenvironment.

19 November 2019 in Expert Review of Molecular Diagnostics
Verified
Journal Article
Closed access
YEYakup Ergun
Yakup Ergun
YAYusuf Acikgoz
Yusuf Acikgoz
ÖBÖznur Bal
Öznur Bal
GUGokhan Ucar
Gokhan Ucar
MDMerve Dirikoc
Merve Dirikoc
DUDoğan Uncu
Doğan Uncu
Background: In this study, we aimed to investigate the frequency, prognostic effect of codon, and amino acid specific KRAS mutations in patients with metastatic colorectal cancer (mCRC) and their predictive effect on irinotecan and oxaliplatin during first-line treatment. Methods: The data of 304 mCRC patients were retrospectively evaluated between 2010 and 2018. Patients were categorized according to the most prominent codon and amino acid mutation and their prognostic features were analyzed. Results: In total, 274 patients were included in the study and 128 patients (47%) revealed KRAS mutation. Median follow-up time was 19.8 months (range; 1.6–96). The median overall survival rates for patients with codons 12 and 13 mutations were 25.4 and 22.2 months, respectively (p = 0.4). Moreover, the median overall survival for the codon 12 mutant patients who received irinotecan-based chemotherapy in the first-line treatment was 42.7 months, whereas for the codon 13 mutant and KRAS wild-type patients, it was 18.3 and 23.9 months, respectively (codon 12 vs. codon 13; HR: 0.31, p = 0.03, codon 12 vs. wild-type; HR: 0.45, p = 0.03). Conclusion: The significant survival advantage was observed in patients with codon 12 mutations who received irinotecan-based chemotherapy as a first-line treatment.

1 January 2021 in Pancreas
Verified
Journal Article
Closed access
YAYusuf Acikgoz
Yusuf Acikgoz
OBOznur Bal
Oznur Bal
MDMutlu Dogan
Mutlu Dogan
Objectives: Neuroendocrine tumors (NETs) are very heterogeneous tumors. This study aimed to evaluate prognostic value of an albumin–to–alkaline phosphatase (ALP) ratio (AAPR) in well-differentiated NETs. Methods: A total of 110 patients were included in this study. Albumin–to–alkaline phosphatase ratio was calculated by dividing albumin concentration (g/dL) to ALP level (U/L). Cutoff value for AAPR was determined by receiver operating characteristic analysis. Survival analysis was performed by Kaplan-Meier method with the log-rank test. A P value of less than 0.05 was considered statistically significant. Results: The optimum cutoff value for AAPR was 0.028. Patients were divided into 2 groups as patients with AAPR of 0.028 or less (n = 22, 20%) and with AAPR of greater than 0.028 (n = 88, 80%). Patients with AAPR of greater than 0.028 had statistically longer overall survival compared with patients with 0.028 or less (not reached vs 96.8 months, P = 0.001). In addition, AAPR has been shown to be an independent prognostic factor for overall survival in multivariate analysis (hazard ratio, 3.99; 95% confidence interval, 1.26–12.61, P = 0.018). Conclusions: Patients with higher AAPR had more favorable prognosis compared with patients with lower AAPR. We demonstrated that AAPR can be of prognostic value in well-differentiated NETs.

18 September 2020 in Cureus
Verified
Journal Article
Open access
PDF file
GUGokhan Ucar
Gokhan Ucar
YAYusuf Acikgoz
Yusuf Acikgoz
YEYakup Ergun
Yakup Ergun
ÖBÖznur Bal
Öznur Bal
MYMesut Yilmaz
Mesut Yilmaz
DUDoğan Uncu
Doğan Uncu
Treatment options for metastatic renal cell carcinoma disease have been improved in recent years. However, there is still no optimal treatment sequence or combination for metastatic disease. We aimed to investigate whether patients differed in terms of disease outcomes regarding pre-nivolumab tyrosine kinase inhibitors (TKIs). The analysis of patients was performed after all cohorts were sub-grouped into two groups according to pre-nivolumab TKIs as following the sunitinib arm and the pazopanib arm. A total of 75 patients were included in this study. The median follow-up time was eight months for all cohorts. The objective response rate was statistically significantly higher in the pazopanib arm as compared to the sunitinib arm (56% vs 30%, p=0.02). Progression-free survival was significantly higher in pazopanib than sunitinib (10.3 months vs 5.3 months, p=0.02). Multivariate analysis revealed that pazopanib treatment was associated with better progression-free survival (HR: 0.44, 95 CI; 0.22-0.91, p=0.02). While the median overall survival for patients who had received sunitinib was 11.0 months, it has not been reached the median in the pazopanib arm (11.0 months vs NR, p=0.051). We demonstrated significantly better progression-free survival and a higher objective response rate with nivolumab treatment in patients who had received pazopanib as compared with patients who received sunitinib in the pre-nivolumab period.