Division of Surgical Oncology, Department of Surgery, University of New Mexico, Albuquerque, NM; University of New Mexico Comprehensive Cancer Center, Albuquerque, NM.
University of New Mexico Comprehensive Cancer Center, Albuquerque, NM; Department of Pathology, University of New Mexico, Albuquerque, NM.
Clin Colorectal Cancer. 2017 Sep;16(3):e165-e170. doi: 10.1016/j.clcc.2016.11.004. Epub 2016 Nov 23.
Colorectal cancer is a leading cause of cancer-related mortality, has a very broad mutational spectrum, and there is no clinically available biomarker that can predict which patients with stage II or stage III colorectal cancer will develop metastatic disease.
We used a targeted next-generation sequencing approach to analyze the mutational spectra in stage II and III colon cancer patient samples.
Amidst a broad range of acquired mutations and variants, we found evidence of tumor heterogeneity that distinguished the tumors in different groups. When heterogeneity was quantified using the Mutant-Allele Tumor Heterogeneity (MATH) score, there was a strong correlation between higher MATH score and risk of metastases.
Measures of tumor heterogeneity might be useful biomarkers for identifying patients with colon cancer who are at risk of developing metastases. This might allow for more specific, tailored follow-up and adjuvant therapies after standard surgery.
结直肠癌是癌症相关死亡的主要原因,具有非常广泛的突变谱,目前尚无临床上可用的生物标志物来预测哪些 II 期或 III 期结直肠癌患者会发展为转移性疾病。
我们使用靶向下一代测序方法分析了 II 期和 III 期结肠癌患者样本的突变谱。
在广泛的获得性突变和变异中,我们发现了肿瘤异质性的证据,这种异质性可以区分不同组的肿瘤。当使用突变等位基因肿瘤异质性(MATH)评分来量化异质性时,较高的 MATH 评分与转移风险之间存在很强的相关性。
肿瘤异质性的测量可能是识别有转移风险的结肠癌患者的有用生物标志物。这可能允许在标准手术后进行更具体、更有针对性的随访和辅助治疗。