The potential of retinoic acid receptors as prognostic biomarkers and therapeutic targets in gastric cancer

IF 3.5 3区 医学 Q2 ONCOLOGY Frontiers in Oncology Pub Date : 2024-09-11 DOI:10.3389/fonc.2024.1453934
Silvio Ken Garattini, Debora Basile, Valli’ De Re, Giulia Brisotto, Gianmaria Miolo, Vincenzo Canzonieri, Giuseppe Aprile, Carla Corvaja, Silvia Buriolla, Enrico Garattini, Fabio Puglisi
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Abstract

BackgroundGastric cancer is a heterogeneous collection of tumors characterized by low survival rates. All-trans retinoic acid (retinoic-acid) is a clinically useful therapeutic agent belonging to the chemical family of retinoids, which consists of both natural and synthetic derivatives of vitamin-A. Retinoids are essential components of the normal diet and they regulate different physiological processes. From a therapeutic point of view, retinoic-acid is the first example of clinically useful differentiating agent. Indeed, the differentiating properties of this compound have promoted the use of retinoic-acid as a standard of care in Acute-Promyelocytic-Leukemia, a rare form of acute myeloid leukemia. In this study, we determine the RNA expression of the six isoforms of Retinoic-Acid-Receptors (RARα/RARβ/RARγ/RXRα/RXRβ/RXRγ) in view of their potential use as gastric cancer progression markers and/or therapeutic targets. In addition, we evaluate associations between the expression of these receptors and a simplified molecular classification of stomach tumors as well as the clinical characteristics of the cohort of patients analyzed. Finally, we define the prognostic value of the various Retinoic-Acid-Receptors in gastric cancer.MethodsIn this single institution and retrospective RAR-GASTRIC study, we consider 55 consecutive gastric cancer patients. We extract total RNA from the pathological specimens and we perform a NanoString Assay using a customized panel of genes. This allows us to determine the expression levels of the RAR and RXR mRNAs as well as other transcripts of interest.ResultsOur data demonstrate ubiquitous expression of the RAR and RXR mRNAs in gastric cancers. High levels of RARα, RARβ, RXRα and RXRβ show a significant association with stage IV tumors, “de novo” metastatic disease, microsatellite-stable-status, epithelial-to-mesenchymal-transition, as well as PIK3CA and TP53 expression. Finally, we observe a worse overall-survival in gastric cancer patients characterized by high RARα/RARβ/RARγ/RXRβ mRNA levels.ConclusionsIn gastric cancer, high expression levels of RARα/RARβ/RARγ/RXRβ transcripts are associated with poor clinical and molecular characteristics as well as with reduced overall-survival. Our data are consistent with the idea that RARα, RARβ, RARγ and RXRβ represent potential prognostic markers and therapeutic targets of gastric cancer.
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视黄酸受体作为胃癌预后生物标记物和治疗靶点的潜力
背景胃癌是一种异质性肿瘤,其特点是生存率低。全反式维甲酸(维甲酸)是一种临床上有用的治疗药物,属于维甲酸化学家族,由维生素 A 的天然和合成衍生物组成。类视黄醇是正常饮食中不可或缺的成分,可调节不同的生理过程。从治疗的角度来看,视黄酸是第一种临床有用的分化剂。事实上,这种化合物的分化特性促进了视黄酸作为急性髓细胞白血病(一种罕见的急性髓细胞白血病)的标准治疗药物的使用。在本研究中,我们测定了视黄酸受体(RARα/RARβ/RARγ/RXRα/RXRβ/RXRγ)六种异构体的 RNA 表达,以了解它们作为胃癌进展标志物和/或治疗靶点的潜在用途。此外,我们还评估了这些受体的表达与简化的胃癌分子分类以及所分析患者群的临床特征之间的关联。最后,我们确定了各种视黄酸受体在胃癌中的预后价值。方法在这项单一机构的回顾性 RAR-GASTRIC 研究中,我们连续研究了 55 例胃癌患者。我们从病理标本中提取总 RNA,并使用定制的基因面板进行 NanoString 分析。结果我们的数据表明,RAR 和 RXR mRNA 在胃癌中的表达无处不在。高水平的 RARα、RARβ、RXRα 和 RXRβ 与 IV 期肿瘤、"新发 "转移性疾病、微卫星稳定状态、上皮细胞向间质转化以及 PIK3CA 和 TP53 的表达有显著关联。结论在胃癌中,RARα/RARβ/RARγ/RXRβ转录物的高表达水平与不良的临床和分子特征以及总体生存率降低有关。我们的数据与 RARα、RARβ、RARγ 和 RXRβ 是胃癌潜在预后标志物和治疗靶点的观点一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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