Identification of high independent prognostic value of nanotechnology based circulating tumor cell enumeration in first-line chemotherapy for metastatic breast cancer patients.
Enumeration of circulating tumor cells (CTCs) is a promising tool in the management of metastatic breast cancer (MBC). This study investigated the capturing efficiency and prognostic value of our previously reported peptide-based nanomagnetic CTC isolation system (Pep@MNPs). We counted CTCs in blood samples taken at baseline (n = 102) and later at patients' first clinical evaluation after starting firstline chemotherapy (n = 72) in a cohort of women treated for MBC. Their median follow-up was 16.3 months (range: 9.0-31.0 months). The CTC detection rate was 69.6 % for the baseline samples. Patients with ≤2 CTC/2 ml at baseline had longer median progression-free survival (PFS) than did those with >2 CTC/2 ml (17.0 months vs. 8.0 months; P = 0.002). Patients with ≤2 CTC/2 ml both at baseline and first clinical evaluation had longest PFS (18.2 months) among all patient groups (P = 0.004). Particularly, among patients with stable disease (SD; per imaging evaluation) our assay could identify those with longer PFS (P < 0.001). Patients with >2 CTC/2 ml at baseline were also significantly more likely to suffer liver metastasis (P = 0.010). This study confirmed the prognostic value of Pep@MNPs assays for MBC patients who undergo firstline chemotherapy, and offered extra stratification regarding PFS for patients with SD, and a possible indicator for patients at risk for liver metastasis.
Department of Breast Oncology, Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China.
Xiao-Ran
XR
Liu
Department of Breast Oncology, Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China.
Bin
B
Shao
CAS Key Laboratory of Standardization and Measurement for Nanotechnology, National Center for Nanoscience and Technology, Beijing, China.
Jia-Xi
JX
Peng
Department of Breast Oncology, Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China. Electronic address: huipingli2012@hotmail.com.
Hui-Ping
HP
Li
CAS Key Laboratory of Standardization and Measurement for Nanotechnology, National Center for Nanoscience and Technology, Beijing, China. Electronic address: yangyl@nanoctr.cn.
Yan-Lian
YL
Yang
Department of Breast Oncology, Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China.
Wei-Yao
WY
Kong
Department of Breast Oncology, Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China.
Guo-Hong
GH
Song
Department of Breast Oncology, Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China.
Han-Fang
HF
Jiang
Department of Breast Oncology, Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China.
Xu
X
Liang
Department of Breast Oncology, Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China.
Ying
Y
Yan
D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000970:Antineoplastic Agents / Q000627:therapeutic use; D001943:Breast Neoplasms / Q000097:blood* / Q000188:drug therapy / Q000473:pathology; D002452:Cell Count / Q000379:methods*; D018572:Disease-Free Survival; D005260:Female; D006801:Humans; D008875:Middle Aged; D036103:Nanotechnology / Q000379:methods*; D009362:Neoplasm Metastasis; D009360:Neoplastic Cells, Circulating / Q000473:pathology*; D011237:Predictive Value of Tests; D011379:Prognosis
D000970:Antineoplastic Agents
Circulating tumor cells; Metastatic breast cancer; Nanotechnology; Predictive value