MedElevator Войти в исследования
← Поиск публикаций

DOI 10.3390/ijms19082240

Медицинская библиотека · International journal of molecular sciences · 2018

Understanding Ovarian Cancer: iTRAQ-Based Proteomics for Biomarker Discovery.

Swiatly Agata, Horala Agnieszka, Matysiak Jan, Hajduk Joanna, Nowak-Markwitz Ewa, Kokot Zenon J

СтатьяПеревод пока не подготовлен

Аннотация

Despite many years of studies, ovarian cancer remains one of the top ten cancers worldwide. Its high mortality rate is mainly due to lack of sufficient diagnostic methods. For this reason, our research focused on the identification of blood markers whose appearance would precede the clinical manifestation of the disease. ITRAQ-tagging (isobaric Tags for Relative and Absolute Quantification) coupled with mass spectrometry technology was applied. Three groups of samples derived from patients with: ovarian cancer, benign ovarian tumor, and healthy controls, were examined. Mass spectrometry analysis allowed for highlighting the dysregulation of several proteins associated with ovarian cancer. Further validation of the obtained results indicated that five proteins (Serotransferrin, Amyloid A1, Hemopexin, C-reactive protein, Albumin) were differentially expressed in ovarian cancer group. Interestingly, the addition of Albumin, Serotransferrin, and Amyloid A1 to CA125 (cancer antigen 125) and HE4 (human epididymis protein4) improved the diagnostic performance of the model discriminating between benign and malignant tumors. Identified proteins shed light on the molecular signaling pathways that are associated with ovarian cancer development and should be further investigated in future studies. Our findings indicate five proteins with a strong potential to use in a multimarker test for screening and detection of ovarian cancer.

Для цитирования: Swiatly Agata, Horala Agnieszka, Matysiak Jan, Hajduk Joanna, Nowak-Markwitz Ewa, Kokot Zenon J. Understanding Ovarian Cancer: iTRAQ-Based Proteomics for Biomarker Discovery.. International journal of molecular sciences. 2018. DOI: 10.3390/ijms19082240.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.