Incorporating MicroRNA into Molecular Phenotypes of Circulating Tumor Cells Enhances the Prognostic Accuracy for Patients with Metastatic Breast Cancer. (12th July 2019)
- Record Type:
- Journal Article
- Title:
- Incorporating MicroRNA into Molecular Phenotypes of Circulating Tumor Cells Enhances the Prognostic Accuracy for Patients with Metastatic Breast Cancer. (12th July 2019)
- Main Title:
- Incorporating MicroRNA into Molecular Phenotypes of Circulating Tumor Cells Enhances the Prognostic Accuracy for Patients with Metastatic Breast Cancer
- Authors:
- Tan, Weige
Liang, Gehao
Xie, Xinhua
Jiang, Wenguo
Tan, Luyuan
Sanders, Andrew J.
Liu, Zihao
Ling, Yun
Zhong, Wenjing
Tian, Zhenluan
Lin, Wanyi
Gong, Chang - Abstract:
- Abstract: Background: The molecular phenotype of circulating tumor cells (CTCs) was associated with clinical outcome of patients with breast cancer. CTCs isolated from patients with metastatic breast cancer (MBC) display a unique microRNA (miRNA) expression profile. The aim of this study was to enhance the prognostic accuracy of the CTC phenotype in patients with MBC, by incorporating miRNA into a combined prediction model. Subjects, Materials, and Methods: CTCs were detected by CellSearch and enriched by magnetic cell sorting. miRNA deep sequencing and quantitative polymerase chain reaction were used to screen and verify potentially CTC‐specific miRNA candidates. Patients with MBC were enrolled from two independent cohorts, and overall survival (OS) and chemotherapy response were analyzed. Results: We screened and identified that miR‐106b was an upregulated molecule in patients with MBC with CTC ≥5/7.5 mL ( n = 16) compared with patients with CTC = 0/7.5 mL ( n = 16) and healthy donors ( n = 8). The expression of CTC‐specific miR‐106b correlated with vimentin and E‐cadherin in CTC and acted as an independent factor for predicting OS (hazard ratio 2.157, 95% confidence interval [CI] 1.098–4.239, p = .026). Although CTC‐specific miR‐106b, E‐cadherin, and vimentin showed a prognostic potential independently, the prognostic performance for OS based on the combination of three markers was significantly enhanced in Cohort 1 (area under the curve [AUC] 0.752, 95% CI 0.658–0.847, nAbstract: Background: The molecular phenotype of circulating tumor cells (CTCs) was associated with clinical outcome of patients with breast cancer. CTCs isolated from patients with metastatic breast cancer (MBC) display a unique microRNA (miRNA) expression profile. The aim of this study was to enhance the prognostic accuracy of the CTC phenotype in patients with MBC, by incorporating miRNA into a combined prediction model. Subjects, Materials, and Methods: CTCs were detected by CellSearch and enriched by magnetic cell sorting. miRNA deep sequencing and quantitative polymerase chain reaction were used to screen and verify potentially CTC‐specific miRNA candidates. Patients with MBC were enrolled from two independent cohorts, and overall survival (OS) and chemotherapy response were analyzed. Results: We screened and identified that miR‐106b was an upregulated molecule in patients with MBC with CTC ≥5/7.5 mL ( n = 16) compared with patients with CTC = 0/7.5 mL ( n = 16) and healthy donors ( n = 8). The expression of CTC‐specific miR‐106b correlated with vimentin and E‐cadherin in CTC and acted as an independent factor for predicting OS (hazard ratio 2.157, 95% confidence interval [CI] 1.098–4.239, p = .026). Although CTC‐specific miR‐106b, E‐cadherin, and vimentin showed a prognostic potential independently, the prognostic performance for OS based on the combination of three markers was significantly enhanced in Cohort 1 (area under the curve [AUC] 0.752, 95% CI 0.658–0.847, n = 128) and further validated in Cohort 2 (AUC 0.726, 95% CI 0.595–0.856, n = 91). Besides, a combined model incorporating miR‐106b was associated with therapy response. Conclusion: The phenotypic assemblies of CTC incorporating miR‐106b show enhanced prognostic accuracy of overall survival in patients with MBC. Implications for Practice: In order to enhance the prognostic accuracy of the circulating tumor cell (CTC) phenotype in patients with metastatic breast cancer (MBC), this study screened and identified a CTC‐specific microRNA (miRNA), miR‐106b, as an upregulated molecule based on the comparison of miRNA profile between CTCs, primary tumors, and healthy blood donors. By incorporating miR‐106b into a combined prediction model, the prognostic accuracy of the CTC phenotype for patients with MBC was greatly improved in both the training and validation cohorts. This work provides clinical evidence supporting the prognostic potential of CTC‐specific miRNA for patients with MBC. These results indicate that developing CTC‐specific miRNAs as new biomarkers will help to further optimize personalized therapy. Abstract : The molecular phenotype of circulating tumor cells is associated with clinical outcome of patients with breast cancer. The aim of this study was to enhance the prognostic accuracy of the circulating tumor cell phenotype in metastatic breast cancer by incorporating miRNA into a combined prediction model. … (more)
- Is Part Of:
- Oncologist. Volume 24:Number 11(2019)
- Journal:
- Oncologist
- Issue:
- Volume 24:Number 11(2019)
- Issue Display:
- Volume 24, Issue 11 (2019)
- Year:
- 2019
- Volume:
- 24
- Issue:
- 11
- Issue Sort Value:
- 2019-0024-0011-0000
- Page Start:
- e1044
- Page End:
- e1054
- Publication Date:
- 2019-07-12
- Subjects:
- Breast cancer -- Circulating tumor cells -- MicroRNA -- Prognosis -- Metastasis
Oncology -- Periodicals
Tumors -- Periodicals
Cancérologie -- Périodiques
Tumeurs -- Périodiques
Oncology
Tumors
Neoplasms
Electronic journals
Periodicals
Periodicals
616.994 - Journal URLs:
- https://academic.oup.com/oncolo ↗
https://theoncologist.onlinelibrary.wiley.com/journal/1549490x ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1634/theoncologist.2018-0697 ↗
- Languages:
- English
- ISSNs:
- 1083-7159
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6256.890000
British Library DSC - BLDSS-3PM
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- 20724.xml