徐君南, 李晓睿, 孙涛. 基于超高效串联质谱的氨基酸代谢组学预测晚期乳腺癌化疗反应初探[J]. 中国肿瘤临床, 2017, 44(24): 1253-1257. DOI: 10.3969/j.issn.1000-8179.2017.24.064
引用本文: 徐君南, 李晓睿, 孙涛. 基于超高效串联质谱的氨基酸代谢组学预测晚期乳腺癌化疗反应初探[J]. 中国肿瘤临床, 2017, 44(24): 1253-1257. DOI: 10.3969/j.issn.1000-8179.2017.24.064
XU Junnan, LI Xiaorui, SUN Tao. A preliminary study of amino acid metabolomics using LC-MS/MS to predict the chemotherapeutic response of patients with advanced breast cancer[J]. CHINESE JOURNAL OF CLINICAL ONCOLOGY, 2017, 44(24): 1253-1257. DOI: 10.3969/j.issn.1000-8179.2017.24.064
Citation: XU Junnan, LI Xiaorui, SUN Tao. A preliminary study of amino acid metabolomics using LC-MS/MS to predict the chemotherapeutic response of patients with advanced breast cancer[J]. CHINESE JOURNAL OF CLINICAL ONCOLOGY, 2017, 44(24): 1253-1257. DOI: 10.3969/j.issn.1000-8179.2017.24.064

基于超高效串联质谱的氨基酸代谢组学预测晚期乳腺癌化疗反应初探

A preliminary study of amino acid metabolomics using LC-MS/MS to predict the chemotherapeutic response of patients with advanced breast cancer

  • 摘要:
      目的  探讨晚期乳腺癌患者化疗前(基线)和化疗第1个疗程后(预后)血清中32种氨基酸的变化,预测其指导晚期乳腺癌化疗敏感性的价值。
      方法  选取2015年3月至2016年10月于辽宁省肿瘤医院行化疗的女性晚期乳腺癌患者73例,分别在化疗前和化疗第1个疗程后采集外周血2 mL,经超高效串联质谱(LC-MS/MS)检测血清中32种氨基酸的含量水平。采用影像学检查对化疗2~4个疗程后患者行预后评估,分为好转组和恶化组,并分析氨基酸含量水平的变化。
      结果  32种氨基酸含量水平为3~180 000 pmol/L。与基线相比,好转组的甘氨酸和L-谷氨酰胺相对含量显著上升,而恶化组显著下降;好转组的肌氨酸显著下降,而恶化组变化不明显;好转组和恶化组的L-苏氨酸、牛磺酸、亚氨基二乙酸和L-谷氨酸均显著上升。
      结论  甘氨酸和肌氨酸等氨基酸在行化疗前和化疗第1个疗程后的变化对晚期乳腺癌化疗疗效具有一定的预测价值,较影像学检查可能更早预测化疗疗效,有助于指导患者的治疗。关键词晚期乳腺癌氨基酸代谢化疗敏感性超高效串联质谱

     

    Abstract:
      Objective  To investigate the value of amino acid metabolomics in evaluating chemotherapeutic response of patients with advanced breast cancer, the changes in the levels of 32 amino acids in the circulating serum of patients before(baseline)and after thefirst cycle(prognosis)of chemotherapy were tested.
      Methods  Seventy-three advanced breast cancer patients with local recurrenceand distant metastasis admitted at the Liaoning Cancer Hospital from March 2015 to October 2016 were enrolled.Peripheral bloodsamples(2 mL)were collected before and after the first cycles of chemotherapy from each patient.Thirty-two amino acids in the serum were tested using the ultra-performance liquid chromatography-tandem mass spectrometry(LC-MS/MS).Patients were categorized into the improvement or deterioration groups, based on the first imaging test after 2-4 cycles of chemotherapy.The changes inamino acids levels were analyzed in different prognosis groups.
      Results  The levels of the 32 amino acids ranged 3-180000 pmol/L.Compared to their baseline levels, both glycine and L-glutamine increased in the improvement group, but decreased in the deterioration group.Sarcosine was significantly reduced in the improvement group, while differences in its levels were not obvious in the deterioration group.L-threonine, taurine, iminodiacetic acid, and L-glutamic acid were increased in both groups.
      Conclusion  Changes in theserum levels of glycine, sarcosine, and the other amino acids before and after the first cycles of chemotherapy can predict chemotherapeutic response in patients with advanced breast cancer.Amino acid metabolomics may become a potential biomarker for predictingthe efficacy of chemotherapy earlier than that of imaging tests, and thereby help improve therapeutic strategies for advanced breastcancer.

     

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