A multimarker panel for circulating tumor cells detection predicts patient outcome and therapy response in metastatic colorectal cancer

医学 循环肿瘤细胞 结直肠癌 内科学 肿瘤科 液体活检 预测标记 无进展生存期 癌症 总体生存率 转移
作者
Jorge Barbazán,Laura Muinelo‐Romay,María Vieito,Sonia Candamio,Antonio Díaz‐López,Amparo Cano,Antonio Gómez‐Tato,M. Casares de Cal,Miguel Abal,Rafael López‐López
出处
期刊:International Journal of Cancer [Wiley]
卷期号:135 (11): 2633-2643 被引量:64
标识
DOI:10.1002/ijc.28910
摘要

Circulating tumor cells (CTCs), proposed as major players in cancer dissemination, have demonstrated clinical prognostic significance in several cancer types. However, their predictive value remains unclear. Here we evaluated the clinical utility of six CTC markers (tissue specific and epithelial to mesenchymal transition transcripts) both as prognostic and predictive tools in metastatic colorectal cancer (mCRC) patients. CTCs were immunoisolated from blood in 50 mCRC patients at baseline and at 4 and 16 weeks after treatment onset. Expression levels of GAPDH, VIL1, CLU, TIMP1, LOXL3 and ZEB2 were determined by qualitative polymerase chain reaction and normalized to the unspecific cell isolation marker CD45. At baseline, median progression-free survival (PFS) and overall survival (OS) for patients with high CTC markers were 6.3 and 12.7 months, respectively, versus 12.7 and 24.2 for patients with low CTC markers (PFS; p = 0.0003; OS; p = 0.044). Concerning response to therapy, PFS and OS for patients with increased CTC markers along treatment were, respectively, 6.6 and 13.1 months, compared with 12.7 and 24.3 for patients presenting CTC markers reduction (PFS; p = 0.004; OS; p = 0.007). Of note, CTC markers identified therapy-refractory patients not detected by standard image techniques. Patients with increased CTC markers along treatment, but classified as responders by computed tomography, showed significantly shorter survival times (PFS: 7.8 vs. 13.2; OS: 14.4 vs. 24.4; months). In conclusion, we have generated a CTC marker panel for prognosis evaluation and the identification of patients benefiting or not from therapy in mCRC. Our methodology efficiently classified patients earlier than routine computed tomography and from a minimally invasive liquid biopsy.
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