Department of Surgery, University of Calgary, 3330 Hospital Dr NW, Calgary, AB, Canada, T2N 4N1.
Genome Med. 2012 May 14;4(5):42. doi: 10.1186/gm341.
Presently, colorectal cancer (CRC) is staged preoperatively by radiographic tests, and postoperatively by pathological evaluation of available surgical specimens. However, present staging methods do not accurately identify occult metastases. This has a direct effect on clinical management. Early identification of metastases isolated to the liver may enable surgical resection, whereas more disseminated disease may be best treated with palliative chemotherapy.
Sera from 103 patients with colorectal adenocarcinoma treated at the same tertiary cancer center were analyzed by proton nuclear magnetic resonance (1H NMR) spectroscopy and gas chromatography-mass spectroscopy (GC-MS). Metabolic profiling was done using both supervised pattern recognition and orthogonal partial least squares-discriminant analysis (O-PLS-DA) of the most significant metabolites, which enables comparison of the whole sample spectrum between groups. The metabolomic profiles generated from each platform were compared between the following groups: locoregional CRC (N = 42); liver-only metastases (N = 45); and extrahepatic metastases (N = 25).
The serum metabolomic profile associated with locoregional CRC was distinct from that associated with liver-only metastases, based on 1H NMR spectroscopy (P = 5.10 × 10-7) and GC-MS (P = 1.79 × 10-7). Similarly, the serum metabolomic profile differed significantly between patients with liver-only metastases and with extrahepatic metastases. The change in metabolomic profile was most markedly demonstrated on GC-MS (P = 4.75 × 10-5).
In CRC, the serum metabolomic profile changes markedly with metastasis, and site of disease also appears to affect the pattern of circulating metabolites. This novel observation may have clinical utility in enhancing staging accuracy and selecting patients for surgical or medical management. Additional studies are required to determine the sensitivity of this approach to detect subtle or occult metastatic disease.
目前,结直肠癌(CRC)术前通过影像学检查进行分期,术后通过对现有手术标本的病理评估进行分期。然而,目前的分期方法并不能准确识别隐匿性转移。这直接影响临床管理。早期发现孤立于肝脏的转移灶可能使其能够进行手术切除,而更广泛的疾病可能最好采用姑息性化疗进行治疗。
对在同一三级癌症中心治疗的 103 例结直肠腺癌患者的血清进行质子核磁共振(1H NMR)光谱和气相色谱-质谱(GC-MS)分析。采用有监督的模式识别和正交偏最小二乘判别分析(O-PLS-DA)对最显著的代谢物进行代谢组学分析,从而比较组间的全样本光谱。对来自每个平台的代谢组学图谱在以下组之间进行比较:局部 CRC(N=42);肝转移(N=45);和肝外转移(N=25)。
基于 1H NMR 光谱(P=5.10×10-7)和 GC-MS(P=1.79×10-7),局部 CRC 相关的血清代谢组学特征与肝转移相关的特征明显不同。同样,肝转移患者和肝外转移患者的血清代谢组学特征也有显著差异。GC-MS 最明显地显示了代谢组学图谱的变化(P=4.75×10-5)。
在 CRC 中,血清代谢组学特征随转移而显著变化,疾病部位似乎也影响循环代谢物的模式。这一新颖的观察结果可能在提高分期准确性和选择手术或药物治疗患者方面具有临床应用价值。需要进一步研究来确定该方法检测细微或隐匿性转移疾病的敏感性。