Serum Metabolomic Profiles Predict Sensitivity and Toxicity to Platinum-Fluorouracil Chemotherapy in a Gastric Cancer Xenograft Model.

IF 1.6 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Dong Yang, Yuanlin Liu, Xiangyu Meng, Chao Wang, Meng Zhang, Tao Zhang, Yefu Liu
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引用次数: 0

Abstract

Background: The mechanisms of chemotherapy sensitivity and toxicity are complex. Metabolomics can better reflect the status of anticancer drugs, tumors, and hosts simultaneously.

Aim: To identify metabolites and metabolic pathways linked to varying sensitivity and toxicity to chemotherapy in gastric cancer.

Methods: Mice were implanted with human gastric cancer cells through subcutaneous xenografting, and then treated with the PF (platinum-fluorouracil) regimen, with saline serving as the control. Tumor growth was monitored by measuring tumor volume, and body weight was recorded on Days 0, 2, 4, 6, and 8. Kidney damage was assessed using H&E staining. To analyze differential responses, PF-treated mice were grouped separately according to chemotherapy sensitivity (high/medium/low via tumor response) and toxicity (high/medium/low via body weight changes). Serum metabolomics was evaluated using Mass Spectrometry.

Results: Platinum-Fluorouracil (PF) chemotherapy significantly reduced tumor weight in mice (164.7 ± 73.5 mg vs. 334.0 ± 107.5 mg; 54.4% inhibition rate), although it also induced notable body weight loss and renal toxicity compared to controls. Serum metabolomic analysis revealed significant differences between PF and control groups, involving metabolites like deoxymethacin and dehydrocorticosterone, associated with AMPK and cortisol synthesis/secretion pathways. Further comparisons highlighted: (1) High- vs. low-sensitivity subgroups differed significantly in metabolites, such as palmitoyl-CoA and indoleacetic acid (linked to AGE-RAGE, insulin resistance, and AMPK pathways). (2) High- vs. low-toxicity subgroups displayed significant metabolic differences, including methylguanosine and methylcytidine (implicated in ferroptosis, ether lipid, and fatty acid metabolism pathways).

Conclusion: The PF regimen effectively inhibits the growth of subcutaneous tumors in nude mice, while causing varying levels of sensitivity and toxicity in tumor chemotherapy. These observed effects of sensitivity and toxicity are linked to underlying metabolic mechanisms.

血清代谢组学分析预测胃癌异种移植模型对铂-氟尿嘧啶化疗的敏感性和毒性
背景:化疗的敏感性和毒性机制是复杂的。代谢组学可以更好地同时反映抗癌药物、肿瘤和宿主的状态。目的:确定与胃癌化疗不同敏感性和毒性相关的代谢物和代谢途径。方法:采用皮下异种移植法将人胃癌细胞植入小鼠体内,然后给予PF(铂-氟尿嘧啶)方案治疗,以生理盐水为对照。通过测量肿瘤体积监测肿瘤生长情况,并于第0、2、4、6、8天记录体重。H&E染色评估肾损害。为了分析不同的反应,根据化疗敏感性(通过肿瘤反应高/中/低)和毒性(通过体重变化高/中/低)将pf治疗小鼠分开分组。采用质谱法测定血清代谢组学。结果:铂-氟尿嘧啶(PF)化疗可显著降低小鼠肿瘤重量(164.7±73.5 mg vs. 334.0±107.5 mg);54.4%的抑制率),尽管与对照组相比,它也引起了显著的体重减轻和肾毒性。血清代谢组学分析显示,PF组与对照组之间存在显著差异,涉及与AMPK和皮质醇合成/分泌途径相关的代谢物,如脱氧methacin和脱氢皮质酮。进一步的比较表明:(1)高敏感性与低敏感性亚组在代谢物,如棕榈酰辅酶a和吲哚乙酸(与AGE-RAGE,胰岛素抵抗和AMPK途径相关)方面存在显著差异。(2)高毒性与低毒性亚组表现出显著的代谢差异,包括甲基鸟苷和甲基胞苷(涉及铁下垂,醚脂质和脂肪酸代谢途径)。结论:PF方案能有效抑制裸鼠皮下肿瘤的生长,但对肿瘤化疗有不同程度的敏感性和毒性。这些观察到的敏感性和毒性效应与潜在的代谢机制有关。
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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
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