Tumor‐derived proliferative CTCs and CTC clusters predict aggressiveness and early recurrence in hepatocellular carcinoma patients

Author:

Zhao Lina12ORCID,Song Jinge1,Sun Yulin1ORCID,Ju Qiang1,Mu Hong1,Dong Xiu1,Ding Jing3,Liu Yunhe4,Wang Xuebing56,Sun Liying56,Wu Jianxiong4,Jiao Yuchen1,Lu Shichun37,Zhao Xiaohang1ORCID

Affiliation:

1. State Key Laboratory of Molecular Oncology National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China

2. Medical Research Center, Peking Union Medical College Hospital Peking Union Medical College and Chinese Academy of Medical Sciences Beijing China

3. Department of Hepatobiliary Surgery and You‐an liver Transplant Center Beijing You‐An Hospital, Capital Medical University Beijing China

4. Department of Hepatobiliary Surgery National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China

5. Department of General Surgery Beijing Friendship Hospital, Capital Medical University Beijing China

6. Liver Transplantation Center, National Clinical Research Center for Digestive Diseases (NCRC‐DD) Beijing Friendship Hospital, Capital Medical University Beijing China

7. Department of Hepatobiliary Surgery The First Medical Center, Chinese PLA General Hospital Beijing China

Abstract

AbstractBackgroundCirculating tumor cells (CTCs), an indispensable liquid biopsy classifier, can provide extra information for the diagnosis and prognosis of hepatocellular carcinoma (HCC).MethodsWe systematically analyzed the peripheral blood of preoperative HCC patients (n = 270) for CTC number, Ki67 index reflecting the proliferative CTC percentage (PCP), and CTC clusters correlated with the characteristics of malignant HCC tumors.ResultsDriver gene mutations were found with high levels of consistency between CTCs and primary tumors (n = 73). CTC number and PCP were associated with tumor size, microvascular invasion (MVI), presence or absence of multiple tumors, and thrombosis significantly. CTC number and PCP robustly separated patients with and without relapse, with a sensitivity of 88.89%/81.48% and a specificity of 72.73%/94.81% in the training set (n = 104) and corresponding values of 80.00%/86.67% and 78.38%/89.19% in the validation set (n = 52), showing a better performance than that associated with the alpha‐fetoprotein (AFP) level. CTC number, PCP, CTC clusters, and MVI were independent significant risk factors for HCC recurrence (P = 0.0375, P < 0.0001, P = 0.0017, and P = 0.0157). A nomogram model based on these risk factors showed a considerable prediction ability for HCC recurrence (area under the curve = 0.947). PCP (training: log‐rank P < 0.0001; hazard ratio [HR] 30.13, 95% confidence interval [CI] = 11.12–81.62; validation: log‐rank P < 0.0001; HR 25.73, 95% CI = 5.28–106.60) and CTC clusters (training: log‐rank P < 0.0001; HR 17.34, 95% CI = 7.46–40.30; validation: log‐rank P < 0.0001; HR 9.92, 95% CI = 2.55–38.58) were more significantly correlated with worse recurrence‐free survival than CTC number (training: log‐rank P < 0.0001; HR 14.93, 95% CI = 4.48–49.78; validation: log‐rank P = 0.0007; HR 9.03, 95% CI = 2.53–32.24).ConclusionPCP and CTC clusters may predict HCC recurrence and improve the performance of the serum biomarker AFP.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Cancer Research,Radiology, Nuclear Medicine and imaging,Oncology

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