宫颈癌
蛋白质组
疾病
癌变
癌症
蛋白质组学
转录组
生物信息学
医学
癌症研究
宫颈上皮内瘤变
计算生物学
肿瘤科
生物
癌细胞
病理
基因
内科学
遗传学
基因表达
作者
Fátima Martínez-Rodríguez,Jared E. Limones-González,Brenda Mendoza-Almanza,Edgar L. Esparza-Ibarra,Perla Gallegos-Flores,Jorge Luis Ayala-Lujan,Susana Godina-González,Eva Salinas,Gretel Mendoza-Almanza
出处
期刊:Cells
[Multidisciplinary Digital Publishing Institute]
日期:2021-07-22
卷期号:10 (8): 1854-1854
被引量:14
标识
DOI:10.3390/cells10081854
摘要
Cancer is one of the leading public health issues worldwide, and the number of cancer patients increases every day. Particularly, cervical cancer (CC) is still the second leading cause of cancer death in women from developing countries. Thus, it is essential to deepen our knowledge about the molecular pathogenesis of CC and propose new therapeutic targets and new methods to diagnose this disease in its early stages. Differential expression analysis using high-throughput techniques applied to biological samples allows determining the physiological state of normal cells and the changes produced by cancer development. The cluster of differential molecular profiles in the genome, the transcriptome, or the proteome is analyzed in the disease, and it is called the molecular signature of cancer. Proteomic analysis of biological samples of patients with different grades of cervical intraepithelial neoplasia (CIN) and CC has served to elucidate the pathways involved in the development and progression of cancer and identify cervical proteins associated with CC. However, several cervical carcinogenesis mechanisms are still unclear. Detecting pathologies in their earliest stages can significantly improve a patient's survival rate, prognosis, and recurrence. The present review is an update on the proteomic study of CC.
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