Integrated analysis reveals a novel 5-fluorouracil resistance-based prognostic signature with promising implications for predicting the efficacy of chemotherapy and immunotherapy in patients with colorectal cancer

IF 6.1 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Yufang Hou, Fang Zhang, Jinbao Zong, Tiegang Li, Wenqiang Gan, Silin Lv, Zheng Yan, Zifan Zeng, Liu Yang, Mingxuan Zhou, Wenyi Zhao, Min Yang
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引用次数: 0

Abstract

Background: 5-Fluorouracil (5-FU) has been used as a standard first-line treatment for colorectal cancer (CRC) patients. Although 5-FU-based chemotherapy and immune checkpoint blockade (ICB) have achieved success in treating CRC, drug resistance and low response rates remain substantial limitations. Thus, it is necessary to construct a 5-FU resistance-related signature (5-FRSig) to predict patient prognosis and identify ideal patients for chemotherapy and immunotherapy. Methods: Using bulk and single-cell RNA sequencing data, we established and validated a novel 5-FRSig model using stepwise regression and multiple CRC cohorts and evaluated its associations with the prognosis, clinical features, immune status, immunotherapy, neoadjuvant therapy, and drug sensitivity of CRC patients through various bioinformatics algorithms. Unsupervised consensus clustering was performed to categorize the 5-FU resistance-related molecular subtypes of CRC. The expression levels of 5-FRSig, immune checkpoints, and immunoregulators were determined using quantitative real-time polymerase chain reaction (RT‒qPCR). Potential small-molecule agents were identified via Connectivity Map (CMap) and molecular docking. Results: The 5-FRSig and cluster were confirmed as independent prognostic factors in CRC, as patients in the low-risk group and Cluster 1 had a better prognosis. Notably, 5-FRSig was significantly associated with 5-FU sensitivity, chemotherapy response, immune cell infiltration, immunoreactivity phenotype, immunotherapy efficiency, and drug selection. We predicted 10 potential compounds that bind to the core targets of 5-FRSig with the highest affinity. Conclusion: We developed a valid 5-FRSig to predict the prognosis, chemotherapeutic response, and immune status of CRC patients, thus optimizing the therapeutic benefits of chemotherapy combined with immunotherapy, which can facilitate the development of personalized treatments and novel molecular targeted therapies for patients with CRC.

Abstract Image

综合分析揭示了一种基于5-氟尿嘧啶耐药性的新型预后特征,对预测结直肠癌患者化疗和免疫疗法的疗效具有重要意义。
背景:5-氟尿嘧啶(5-FU)一直是结直肠癌(CRC)患者的标准一线治疗方法。尽管以 5-FU 为基础的化疗和免疫检查点阻断疗法(ICB)在治疗 CRC 方面取得了成功,但耐药性和低反应率仍然是制约其发展的重要因素。因此,有必要构建5-FU耐药相关特征(5-FRSig)来预测患者预后,并确定化疗和免疫疗法的理想患者:方法:利用批量和单细胞RNA测序数据,我们使用逐步回归法和多个CRC队列建立并验证了一个新的5-FRSig模型,并通过各种生物信息学算法评估了该模型与CRC患者的预后、临床特征、免疫状态、免疫治疗、新辅助治疗和药物敏感性之间的关联。在无监督共识聚类的基础上,对 5-FU 耐药相关的 CRC 分子亚型进行了分类。利用实时定量聚合酶链反应(RT-qPCR)测定了5-FRSig、免疫检查点和免疫调节因子的表达水平。通过连接图(CMap)和分子对接确定了潜在的小分子药物:结果:5-FRSig和群组被证实是CRC的独立预后因素,低风险组和群组1的患者预后较好。值得注意的是,5-FRSig与5-FU敏感性、化疗反应、免疫细胞浸润、免疫反应表型、免疫治疗效率和药物选择有显著相关性。我们预测了与 5-FRSig 核心靶点结合亲和力最高的 10 种潜在化合物:我们开发了一种有效的 5-FRSig 来预测 CRC 患者的预后、化疗反应和免疫状态,从而优化化疗联合免疫治疗的疗效,促进 CRC 患者个性化治疗和新型分子靶向疗法的开发。
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来源期刊
Apoptosis
Apoptosis 生物-生化与分子生物学
CiteScore
9.10
自引率
4.20%
发文量
85
审稿时长
1 months
期刊介绍: Apoptosis, a monthly international peer-reviewed journal, focuses on the rapid publication of innovative investigations into programmed cell death. The journal aims to stimulate research on the mechanisms and role of apoptosis in various human diseases, such as cancer, autoimmune disease, viral infection, AIDS, cardiovascular disease, neurodegenerative disorders, osteoporosis, and aging. The Editor-In-Chief acknowledges the importance of advancing clinical therapies for apoptosis-related diseases. Apoptosis considers Original Articles, Reviews, Short Communications, Letters to the Editor, and Book Reviews for publication.
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