胰腺腺癌分子和循环生物标志物的新视野。

IF 3.5 3区 医学 Q2 ONCOLOGY Frontiers in Oncology Pub Date : 2024-11-07 eCollection Date: 2024-01-01 DOI:10.3389/fonc.2024.1483306
Marta Moretti, Antonella Farina, Antonio Angeloni, Emanuela Anastasi
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引用次数: 0

摘要

胰腺导管腺癌(PDAC)是侵袭性最强的胰腺癌,预计很快将成为癌症相关死亡的第二大原因。死亡率高的原因在于其临床特征允许无症状发展到晚期,而这一时期目前的治疗方法疗效有限。为应对这些挑战,研究人员正致力于鉴定新的分子和循环标志物,以用于早期 PDAC 检测和精准医疗。在这篇微型综述中,我们报告了最著名和最近发现的分子和循环生物标志物。本研究旨在强调继续开展创新研究的必要性,以开发诊断算法和疗法,改善对 PDAC 患者的管理。
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Emerging horizons on molecular and circulating biomarkers in pancreatic adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) is the most aggressive and invasive type of pancreatic cancer and is expected to soon become the second leading cause of cancer-associated death. The high mortality rate is due to the clinical features that allow asymptomatic progression to advanced stages, a period when current therapeutic treatments have limited efficacy. To address these challenges, researchers are focused on identifying new molecular and circulating markers for early PDAC detection and precision medicine. In this mini-review, we report the most well-known and recently identified molecular and circulating biomarkers. This study aimed to emphasize the need for continued innovative research to develop diagnostic algorithms and therapies to improve the management of patients with PDAC.

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来源期刊
Frontiers in Oncology
Frontiers in Oncology Biochemistry, Genetics and Molecular Biology-Cancer Research
CiteScore
6.20
自引率
10.60%
发文量
6641
审稿时长
14 weeks
期刊介绍: Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.
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