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    Clinical and Pathologic Features of Patients with Rare Ovarian Tumors: Multi-Center Review of 167 Patients by the Anatolian Society of Medical Oncology
    (Asian Pacific Organization Cancer Prevention, 2013) Bilici, Ahmet; Inanc, Mevlude; Ulas, Arife; Akman, Tulay; Seker, Mesut; Babacan, Nalan Akgul; Inal, Ali
    Background: Non-epithelial malignant ovarian tumors and clear cell carcinomas, Brenner tumors, transitional cell tumors, and carcinoid tumors of the ovary are rare ovarian tumors (ROTs). In this study, our aim was to determine the clinicopathological features of ROT patients and prognostic factors associated with survival. Materials and Methods: A total of 167 patients with ROT who underwent initial surgery were retrospectively analyzed. Prognostic factors that may influence the survival of patients were evaluated by univariate and multivariate analyses. Results: Of 167 patients, 75 (44.9%) were diagnosed with germ-cell tumors (GCT) and 68 (40.7%) with sex cord-stromal tumors (SCST); the remaining 24 had other rare ovarian histologies. Significant differences were found between ROT groups with respect to age at diagnosis, tumor localization, initial surgery type, tumor size, tumor grade, and FIGO stage. Three-year progression-free survival (PFS) rates and median PFS intervals for patients with other ROT were worse than those of patients with GCT and SCST (41.8% vs 79.6% vs 77.1% and 30.2 vs 72 vs 150 months, respectively; p=0.01). Moreover, the 3-year overall survival (OS) rates and median OS times for patients with both GCT and SCST were better as compared to patients with other ROT, but these differences were not statistically significant (87.7% vs 88.8% vs 73.9% and 170 vs 122 vs 91 months, respectively; p=0.20). In the univariate analysis, tumor localization (p<0.001), FIGO stage (p<0.001), and tumor grade (p=0.04) were significant prognostic factors for PFS. For OS, the univariate analysis indicated that tumor localization (p=0.01), FIGO stage (p=0.001), and recurrence (p<0.001) were important prognostic indicators. Multivariate analysis showed that FIGO stage for PFS (p=0.001, HR: 0.11) and the presence of recurrence (p=0.02, HR: 0.54) for OS were independent prognostic factors. Conclusions: ROTs should be evaluated separately from epithelial ovarian cancers because of their different biological features and natural history. Due to the rarity of these tumors, determination of relevant prognostic factors as a group may help as a guide for more appropriate adjuvant or recurrent therapies for ROTs.
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    Efficacy and safety results of pemetrexed administration in non-small cell lung cancers, a multicenter study of the Association of Anatolian Medical Oncology.
    (Lippincott Williams & Wilkins, 2013) Yasar, Nurgul; Unal, Olcun Umit; Geredeli, Caglayan; Inal, Ali; Berk, Veli; Sari, Ebru; Durnali, Ayse
    [Abstract Not Available]
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    Is lymph node ratio prognostic factor for survival in elderly patients with node positive breast cancer? The Anatolian Society of Medical Oncology
    (Edizioni Luigi Pozzi, 2013) Inal, Ali; Akman, Tulay; Yaman, Sebnem; Ozturk, Selcuk Cemil; Geredeli, Caglayan; Bilici, Mehmet; Inanc, Mevlude
    Several studies have now demonstrated that the lymph node ratio (LNR), as a superior indicator of axillary tumor burden to the number of excised nodes. While, about the prognostic value of LNR on the the survival of elderly patients is limited. The aim of this retrospective multicenter study is to evaluate the prognostic value of lymph node ratio in elderly patients with node positive breast cancer. METHODS: Onehundredeightyfour patient with operable breast cancer, recruited from 17 institutions, were enrolled into the retrospectively study. Eleven potential prognostic variables were chosen for analysis in this study. Univariate and multivariate analyses were conducted to identify prognostic factors associated with survival. RESULT: Among the eleven variables of univariate analysis, four variables were identified to have prognostic significance for Overall survival (OS): pathologic tumor size (T), No. of positive nodes (N), LNR and estrogen receptor-positive (ER). Among the eleven variables of univariate analysis, two variables were identified to have prognostic significance for Disease-free survival (DFS): N and LNR. Multivariate analysis by Cox proportional hazard model showed that 7; LNR and ER were considered independent prognostic factors for OS. Furthermore, LNR was considered independent prognostic factors for DFS. CONCLUSION: In conclusion, the LNR was associated with the prognostic importance for DFS and OS in elderly patients who were administered adjuvant treatments.
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    Pathologic and Clinical Characteristics of Elderly Patients With Breast Cancer: A Retrospective Analysis of a Multicenter Study (Anatolian Society of Medical Oncology)
    (Int College Of Surgeons, 2014) Inal, Ali; Akman, Tulay; Yaman, Sebnem; Ozturk, Selcuk Cemil; Geredeli, Caglayan; Bilici, Mehmet; Inanc, Mevlude
    There is very little information about breast cancer characteristics, treatment choices, and survival among elderly patients. The purpose of this multicenter retrospective study was to examine the clinical, pathologic, and biologic characteristics of 620 breast cancer patients age 70 years or older. Between June 1991 and May 2012, 620 patients with breast cancer, recruited from 16 institutions, were enrolled in the retrospective study. Patients had smaller tumors at diagnosis; only 15% of patients had tumors larger than 5 cm. The number of patients who had no axillary lymph node involvement was 203 (32.7%). Ninety-three patients (15.0%) had metastatic disease at diagnosis. Patients were characterized by a higher fraction of pure lobular carcinomas (75.3%). The tumors of the elderly patients were also more frequently estrogen receptor (ER) positive (75.2%) and progesterone receptor (PR) positive (67.3%). The local and systemic therapies for breast cancer differed according to age. An association between age and overall survival has not been demonstrated in elderly patients with breast cancer. In conclusion, the biologic behavior of older patients with breast cancer differs from younger patients, and older patients receive different treatments.
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    Prognostic factors of patients who received chemotherapy after cranial irradiation for non-small cell lung cancer with brain metastases: A retrospective analysis of multicenter study (Anatolian Society of Medical Oncology)
    (Medknow Publications & Media Pvt Ltd, 2018) Inal, Ali; Kodaz, Hilmi; Odabas, Hatice; Duran, Ayse Ocak; Seker, Mehmet Metin; Inanc, Mevlide; Elkiran, Emin Tamer
    Purpose: Almost half of all patients diagnosed with non-small cell lung cancer (NSCLC) have distant metastases at presentation. One-third of patients with NSCLC will have brain metastases. Without effective treatment, the median survival is only 1 month. However, it is difficult to treat brain metastases with systemic chemotherapy since the agents have difficulty crossing the blood-brain barrier. Therefore, it is important to estimate the patient's survival prognosis. The aim of this study was to analyze prognostic factors for survival in Turkish patients who received chemotherapy after cranial irradiation for NSCLC with brain metastases. Methods: We retrospectively reviewed 698 patients with brain metastases resulting from NSCLC. Ten potential prognostic variables were chosen for analysis. Univariate and multivariate analyses were conducted to identify prognostic factors associated with overall survival (OS). Results: Among the 10 variables for univariate analysis, six were identified to have prognostic significance; these included sex, smoking history, histology, number of brain metastases, extracranial metastases, and neurosurgical resection. Multivariate analysis by the Cox proportional hazard model showed that a smoking history, extracranial metastases, and neurosurgical resection were independent negative prognostic factors for OS. Conclusion: Smoking history, extracranial metastases, and neurosurgical resection were considered independent negative prognostic factors for OS. These findings may facilitate pretreatment prediction of survival and can be used for selecting patients for more appropriate treatment options.