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Xu X, Zhao W, Liu C, Gao Y, Chen D, Wu M, Li C, Wang X, Song X, Yu J, Liu Z, Yu Z. The residual cancer burden index as a valid prognostic indicator in breast cancer after neoadjuvant chemotherapy. BMC Cancer 2024; 24:13. [PMID: 38166846 PMCID: PMC10762907 DOI: 10.1186/s12885-023-11719-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 12/05/2023] [Indexed: 01/05/2024] Open
Abstract
PURPOSE The residual cancer burden index (RCB) was proposed as a response evaluation criterion in breast cancer patients treated with Neoadjuvant Chemotherapy (NAC). This study evaluated the relevance of RCB with replase-free survival (RFS). METHODS The clinical data of 254 breast cancer patients who received NAC between 2016 and 2020 were retrospectively collected. The relationship between clinicopathologic factors and RFS was evaluated using Cox proportional hazards regression models. RFS estimates were determined by Kaplan-Meier(K-M) analysis and compared using the log-rank test. Multivariate logistic regression analysis was used to evaluate the risk factors associated with RCB. Receiver operating characteristic (ROC) curves showed the potential of the RCB and MP grading systems as biomarkers for RFS. RESULTS At a median follow-up of 52 months, 59 patients(23.23%) developed relapse. Multivariate Cox regression showed that older age (P = 0.022), high Pathologic T stage after NAC (P = 0.023) and a high RCB score(P = 0.003) were risk factors for relapse. The outcomes of the multivariate logistic analysis indicated that RCB 0 (pathologic complete response [pCR]) was associated with HER2-positive patients (P = 0.002) and triple-negative breast cancer (TNBC) patients (P = 0.013). In addition, the RCB and MP scoring systems served as prognostic markers for patients who received NAC, and their area under curves (AUCs) were 0.691 and 0.342, respectively. CONCLUSION These data suggest that RCB can be equally applied to predict RFS in Chinese patients with NAC. The application of RCB may help guide the selection of treatment strategies.
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Affiliation(s)
- Xin Xu
- Tianjin Medical University Cancer Institute & Hospital,National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Key Laboratory of Cancer Prevention and Therapy, Tianjin, 300000, China
- Departments of Oncology, The Second Affiliated Hospital of Shandong First Medical University, Shandong Province, Tai'an, 271000, China
| | - Wei Zhao
- Affiliated Hospital of Jining Medical University, Jining, 272060, China
| | - Cuicui Liu
- Liaocheng People's Hospital, Liaocheng, China
| | - Yongsheng Gao
- Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, People's Republic of China
| | - Dawei Chen
- Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, People's Republic of China
| | - Meng Wu
- Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, People's Republic of China
| | - Chao Li
- Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, People's Republic of China
| | - Xinzhao Wang
- Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, People's Republic of China
| | - Xiang Song
- Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, People's Republic of China
| | - Jinming Yu
- Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, People's Republic of China
| | - Zhaoyun Liu
- Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, People's Republic of China.
| | - Zhiyong Yu
- Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, People's Republic of China.
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Jung HH, Kim JY, Cho EY, Lee JE, Kim SW, Nam SJ, Park YH, Ahn JS, Im YH. A Retrospective Exploratory Analysis for Serum Extracellular Vesicles Reveals APRIL (TNFSF13), CXCL13, and VEGF-A as Prognostic Biomarkers for Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer. Int J Mol Sci 2023; 24:15576. [PMID: 37958571 PMCID: PMC10647725 DOI: 10.3390/ijms242115576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 10/18/2023] [Accepted: 10/23/2023] [Indexed: 11/15/2023] Open
Abstract
Neoadjuvant chemotherapy (NAC) is widely used as a standard treatment for early-stage triple-negative breast cancer (TNBC). While patients who achieve pathologic complete response (pCR) have a highly favorable outcome, patients who do not achieve pCR have variable prognoses. It is important to identify patients who are most likely to have poor survival outcomes to identify candidates for more aggressive therapeutic approaches after NAC. Many studies have demonstrated that cytokines and growth factors packaged into extracellular vesicles (EVs) have an essential role in tumor progression and drug resistance. In this study, we examined the role of serum-derived EV-associated cytokines as prognostic biomarkers for long-term outcomes in patients who underwent anthracycline-taxane-based NAC. We isolated extracellular vesicles from the serum of 190 TNBC patients who underwent NAC between 2015 and 2018 at Samsung Medical Center. EV-associated cytokine concentrations were measured with ProcartaPlex Immune Monitoring 65-plex panels. The prognostic value of EV-associated cytokines was studied. We found that patients with high EV_APRIL, EV_CXCL13, and EV_VEGF-A levels had shorter overall survival (OS). We further evaluated the role of these selected biomarkers as prognostic factors in patients with residual disease (RD) after NAC. Even in patients with RD, high levels of EV_APRIL, EV_CXCL13, and EV_VEGF-A were correlated with poor OS. In all subgroup analyses, EV_CXCL13 overexpression was significantly associated with poor overall survival. Moreover, multivariate analysis indicated that a high level of EV_CXCL13 was an independent predictor of poor OS. Correlation analysis between biomarker levels in EVs and serum showed that EV_VEGF-A positively correlated with soluble VEGF-A but not CXCL13. An elevated level of soluble VEGF-A was also associated with poor OS. These findings suggest that EV_APRIL, EV_CXCL13, and EV_VEGF-A may be useful in identifying TNBC patients at risk of poor survival outcomes after NAC.
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Affiliation(s)
- Hae Hyun Jung
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul 06351, Republic of Korea; (H.H.J.); (J.-Y.K.); (Y.H.P.)
- Biomedical Research Institute, Samsung Medical Center, Seoul 06351, Republic of Korea
| | - Ji-Yeon Kim
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul 06351, Republic of Korea; (H.H.J.); (J.-Y.K.); (Y.H.P.)
- Biomedical Research Institute, Samsung Medical Center, Seoul 06351, Republic of Korea
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Seoul 06351, Republic of Korea;
- School of Medicine, Sungkyunkwan University, Suwon 16419, Republic of Korea; (E.Y.C.); (J.E.L.); (S.W.K.); (S.J.N.)
| | - Eun Yoon Cho
- School of Medicine, Sungkyunkwan University, Suwon 16419, Republic of Korea; (E.Y.C.); (J.E.L.); (S.W.K.); (S.J.N.)
- Department of Pathology, Samsung Medical Center, Seoul 06351, Republic of Korea
| | - Jeong Eon Lee
- School of Medicine, Sungkyunkwan University, Suwon 16419, Republic of Korea; (E.Y.C.); (J.E.L.); (S.W.K.); (S.J.N.)
- Department of Surgery, Samsung Medical Center, Seoul 06351, Republic of Korea
| | - Seok Won Kim
- School of Medicine, Sungkyunkwan University, Suwon 16419, Republic of Korea; (E.Y.C.); (J.E.L.); (S.W.K.); (S.J.N.)
- Department of Surgery, Samsung Medical Center, Seoul 06351, Republic of Korea
| | - Seok Jin Nam
- School of Medicine, Sungkyunkwan University, Suwon 16419, Republic of Korea; (E.Y.C.); (J.E.L.); (S.W.K.); (S.J.N.)
- Department of Surgery, Samsung Medical Center, Seoul 06351, Republic of Korea
| | - Yeon Hee Park
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul 06351, Republic of Korea; (H.H.J.); (J.-Y.K.); (Y.H.P.)
- Biomedical Research Institute, Samsung Medical Center, Seoul 06351, Republic of Korea
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Seoul 06351, Republic of Korea;
- School of Medicine, Sungkyunkwan University, Suwon 16419, Republic of Korea; (E.Y.C.); (J.E.L.); (S.W.K.); (S.J.N.)
| | - Jin Seok Ahn
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Seoul 06351, Republic of Korea;
- School of Medicine, Sungkyunkwan University, Suwon 16419, Republic of Korea; (E.Y.C.); (J.E.L.); (S.W.K.); (S.J.N.)
| | - Young-Hyuck Im
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul 06351, Republic of Korea; (H.H.J.); (J.-Y.K.); (Y.H.P.)
- Biomedical Research Institute, Samsung Medical Center, Seoul 06351, Republic of Korea
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Seoul 06351, Republic of Korea;
- School of Medicine, Sungkyunkwan University, Suwon 16419, Republic of Korea; (E.Y.C.); (J.E.L.); (S.W.K.); (S.J.N.)
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