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Different methods of diagnosis have been found to be inefficient in terms of screening and early diagnosis of lung cancer. Cancer cells produce proteins whose serum levels may be elevated during the early stages of cancer development. Therefore, those proteins may be recognized as potential cancer markers. The aim of this study was to differentiate healthy individuals and lung cancer cases by analyzing their serum protein profiles and evaluate the efficacy of this method in the early diagnosis of lung cancer.170 patients with lung cancer, 53 under high risk of lung cancer, and 47 healthy people were included in our study. Proteomic analysis of the samples was performed with the SELDI-TOF-MS approach.The most discriminatory peak of the high risk group was 8141. When tree classification analysis was performed between lung cancer and the healthy control group, 11547 was determined as the most discriminatory peak, with a sensitivity of 85.5

作者:Cebrail, Simsek;Ozlem, Sonmez;Atilla Ihsan, Keyf;Ahmet Selim, Yurdakul;Can, Ozturk;Ozlem, Gulbahar;Fusun, Ozmen;Nurullah, Zengin;Dilek, Kubilay;Senem Ceren, Karatayli;Mithat, Bozdayi

来源:Asian Pacific journal of cancer prevention : APJCP 2013 年 14卷 3期

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作者:
Cebrail, Simsek;Ozlem, Sonmez;Atilla Ihsan, Keyf;Ahmet Selim, Yurdakul;Can, Ozturk;Ozlem, Gulbahar;Fusun, Ozmen;Nurullah, Zengin;Dilek, Kubilay;Senem Ceren, Karatayli;Mithat, Bozdayi
来源:
Asian Pacific journal of cancer prevention : APJCP 2013 年 14卷 3期
Different methods of diagnosis have been found to be inefficient in terms of screening and early diagnosis of lung cancer. Cancer cells produce proteins whose serum levels may be elevated during the early stages of cancer development. Therefore, those proteins may be recognized as potential cancer markers. The aim of this study was to differentiate healthy individuals and lung cancer cases by analyzing their serum protein profiles and evaluate the efficacy of this method in the early diagnosis of lung cancer.170 patients with lung cancer, 53 under high risk of lung cancer, and 47 healthy people were included in our study. Proteomic analysis of the samples was performed with the SELDI-TOF-MS approach.The most discriminatory peak of the high risk group was 8141. When tree classification analysis was performed between lung cancer and the healthy control group, 11547 was determined as the most discriminatory peak, with a sensitivity of 85.5