Тип публикации: статья из журнала
Год издания: 2017
Идентификатор DOI: 10.3390/cancers9110155
Ключевые слова: Aptamers, Biomarker, Diagnostics, Histological type, Lung cancer, Targeted therapyepidermal growth factor, 59459-45-9, 62229-50-9, epidermal growth factor receptor, 79079-06-4, epidermal growth factor receptor 2, 137632-09-8, haptoglobin, 9087-69-8, kallikrein, 8006-48-2, 9001-01-8, protein, 67254-75-5, protein Ret, 154251-46-4, 158709-11-6, thymosin, 61512-21-8, vasculotropin, 127464-60-2
Аннотация: Lung cancer is a malignant lung tumor with various histological variants that arise from different cell types, such as bronchial epithelium, bronchioles, alveoli, or bronchial mucous glands. The clinical course and treatment efficacy of lung cancer depends on the histological variant of the tumor. Therefore, accurate identification of the histological type of cancer and respective protein biomarkers is crucial for adequate therapy. Due to the great diversity in the molecular-biological features of lung cancer histological types, detection is impossible without knowledge of the nature and origin of malignant cells, which release certain protein biomarkers into the bloodstream. To date, different panels of biomarkers are used for screening. Unfortunately, a uniform serum biomarker composition capable of distinguishing lung cancer types is yet to be discovered. As such, histological analyses of tumor biopsies and immunohistochemistry are the most frequently used methods for establishing correct diagnoses. Here, we discuss the recent advances in conventional and prospective aptamer based strategies for biomarker discovery. Aptamers like artificial antibodies can serve as molecular recognition elements for isolation detection and search of novel tumor-associated markers. Here we will describe how these small synthetic single stranded oligonucleotides can be used for lung cancer biomarker discovery and utilized for accurate diagnosis and targeted therapy. Furthermore, we describe the most frequently used in-clinic and novel lung cancer biomarkers, which suggest to have the ability of differentiating between histological types of lung cancer and defining metastasis rate. © 2017 by the authors. Licensee MDPI, Basel, Switzerland.
Выпуск журнала: Vol. 9, Is. 11
Номера страниц: 155
ISSN журнала: 20726694
Издатель: MDPI AG
Вхождение в базы данных
- Scopus (цитирований 32)
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