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Wang M, Du S, Gao S, Zhao R, Liu S, Jiang W, Peng C, Chai R, Zhang L. MRI-based tumor shrinkage patterns after early neoadjuvant therapy in breast cancer: correlation with molecular subtypes and pathological response after therapy. Breast Cancer Res 2024; 26:26. [PMID: 38347619 PMCID: PMC10863121 DOI: 10.1186/s13058-024-01781-1] [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: 11/11/2023] [Accepted: 02/09/2024] [Indexed: 02/15/2024] Open
Abstract
BACKGROUND MRI-based tumor shrinkage patterns (TSP) after neoadjuvant therapy (NAT) have been associated with pathological response. However, the understanding of TSP after early NAT remains limited. We aimed to analyze the relationship between TSP after early NAT and pathological response after therapy in different molecular subtypes. METHODS We prospectively enrolled participants with invasive ductal breast cancers who received NAT and performed pretreatment DCE-MRI from September 2020 to August 2022. Early-stage MRIs were performed after the first (1st-MRI) and/or second (2nd-MRI) cycle of NAT. Tumor shrinkage patterns were categorized into four groups: concentric shrinkage, diffuse decrease (DD), decrease of intensity only (DIO), and stable disease (SD). Logistic regression analysis was performed to identify independent variables associated with pathologic complete response (pCR), and stratified analysis according to tumor hormone receptor (HR)/human epidermal growth factor receptor 2 (HER2) disease subtype. RESULTS 344 participants (mean age: 50 years, 113/345 [33%] pCR) with 345 tumors (1 bilateral) had evaluable 1st-MRI or 2nd-MRI to comprise the primary analysis cohort, of which 244 participants with 245 tumors had evaluable 1st-MRI (82/245 [33%] pCR) and 206 participants with 207 tumors had evaluable 2nd-MRI (69/207 [33%] pCR) to comprise the 1st- and 2nd-timepoint subgroup analysis cohorts, respectively. In the primary analysis, multivariate analysis showed that early DD pattern (OR = 12.08; 95% CI 3.34-43.75; p < 0.001) predicted pCR independently of the change in tumor size (OR = 1.37; 95% CI 0.94-2.01; p = 0.106) in HR+/HER2- subtype, and the change in tumor size was a strong pCR predictor in HER2+ (OR = 1.61; 95% CI 1.22-2.13; p = 0.001) and triple-negative breast cancer (TNBC, OR = 1.61; 95% CI 1.22-2.11; p = 0.001). Compared with the change in tumor size, the SD pattern achieved a higher negative predictive value in HER2+ and TNBC. The statistical significance of complete 1st-timepoint subgroup analysis was consistent with the primary analysis. CONCLUSION The diffuse decrease pattern in HR+/HER2- subtype and stable disease in HER2+ and TNBC after early NAT could serve as additional straightforward and comprehensible indicators of treatment response. TRIAL REGISTRATION Trial registration at https://www.chictr.org.cn/ . REGISTRATION NUMBER ChiCTR2000038578, registered September 24, 2020.
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Affiliation(s)
- Mengfan Wang
- Department of Radiology, The First Hospital of China Medical University, Nanjing North Street 155, Shenyang, 110001, Liaoning Province, China
| | - Siyao Du
- Department of Radiology, The First Hospital of China Medical University, Nanjing North Street 155, Shenyang, 110001, Liaoning Province, China
| | - Si Gao
- Department of Radiology, The First Hospital of China Medical University, Nanjing North Street 155, Shenyang, 110001, Liaoning Province, China
| | - Ruimeng Zhao
- Department of Radiology, The First Hospital of China Medical University, Nanjing North Street 155, Shenyang, 110001, Liaoning Province, China
| | - Shasha Liu
- Department of Radiology, The First Hospital of China Medical University, Nanjing North Street 155, Shenyang, 110001, Liaoning Province, China
| | - Wenhong Jiang
- Department of Radiology, The First Hospital of China Medical University, Nanjing North Street 155, Shenyang, 110001, Liaoning Province, China
| | - Can Peng
- Department of Radiology, The First Hospital of China Medical University, Nanjing North Street 155, Shenyang, 110001, Liaoning Province, China
| | - Ruimei Chai
- Department of Radiology, The First Hospital of China Medical University, Nanjing North Street 155, Shenyang, 110001, Liaoning Province, China
| | - Lina Zhang
- Department of Radiology, The First Hospital of China Medical University, Nanjing North Street 155, Shenyang, 110001, Liaoning Province, China.
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Lin N, Liu W, Wang M, Zhou W, Zheng S, Yang J, Fang Y, Wu W, Yang W, Jiang Y, Wang Y. Ultrasound-assisted carbon nanoparticle labeling of neoadjuvant chemotherapy for breast-conserving surgery in breast cancer. Quant Imaging Med Surg 2023; 13:1825-1837. [PMID: 36915352 PMCID: PMC10006115 DOI: 10.21037/qims-22-361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Accepted: 10/28/2022] [Indexed: 12/12/2022]
Abstract
Background Neoadjuvant chemotherapy has gradually become an important means of breast cancer treatment; however, tumor regression following chemotherapy remains a concern. This study was conducted to investigate the effect of ultrasound-assisted carbon nanoparticle labeling in neoadjuvant chemotherapy for breast-conserving surgery in breast cancer. Methods This was a prospective clinical trial study (clinical registration number: ChiCTR-OOC-15006844). Sixty-eight breast cancer patients confirmed by biopsy between July 2015 and January 2017 were randomly selected from the clinical data. Of these, 32 patients were screened for neoadjuvant chemotherapy, forming a consecutive, random series. An ultrasound-guided carbon nanotube was used to mark the original tumor, and sentinel lymph node biopsies were performed. After 4-6 cycles of standard neoadjuvant chemotherapy, 26 patients were selected for breast-conserving surgery. The feasibility and validity of carbon nanoparticle labeling were analyzed through the negative rate of incision margin, the volume of resected tumors, the detection rate of black-stained sentinel lymph nodes, the recurrence rate of ipsilateral breast, and postoperative survival. Results In all, 32 patients underwent sentinel lymph node biopsy, 29 cases were detected (90.6%), the false-negative rate was 3.8% (1/26), and 0-4 sentinel lymph nodes (mean 1.8±1.1) were detected. A total of 26 patients underwent breast-conserving surgery, 5 underwent secondary excision, and 1 underwent subcutaneous adenectomy due to a positive margin. The minimum margin between the resected site and the infiltrated part was 1.0-2.1 cm (1.3±0.3 cm). The diameter of resected tumors ranged from 2.2 to 4.5 cm (3.1±0.6 cm). No recurrence or distant metastasis of ipsilateral breast tumors was observed during follow-up (the median follow-up time was 9 months). Conclusions Ultrasound-assisted carbon nanoparticle labeling is effective for sentinel lymph node tracing before neoadjuvant chemotherapy and has a high detection rate for metastatic lymph nodes. During breast-conserving surgery, it can determine the extent of tumor resection to achieve precision surgical treatment.
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Affiliation(s)
- Nan Lin
- Fuzong Clinical Medical College of Fujian Medical University, Department of General Surgery, 900th Hospital of Joint Logistics Support Force, PLA, Fuzhou, China
| | - Wangwu Liu
- Fuzong Clinical Medical College of Fujian Medical University, Department of General Surgery, 900th Hospital of Joint Logistics Support Force, PLA, Fuzhou, China
| | - Mingwei Wang
- Fuzong Clinical Medical College of Fujian Medical University, Department of General Surgery, 900th Hospital of Joint Logistics Support Force, PLA, Fuzhou, China
| | - Weikang Zhou
- Fuzong Clinical Medical College of Fujian Medical University, Department of General Surgery, 900th Hospital of Joint Logistics Support Force, PLA, Fuzhou, China
| | - Shiyao Zheng
- Fuzong Clinical Medical College of Fujian Medical University, Department of General Surgery, 900th Hospital of Joint Logistics Support Force, PLA, Fuzhou, China
| | - Jin Yang
- Department of General Surgery, 900th Hospital of Joint Logistics Support Force, PLA, Dongfang Hospital, Xiamen University, Fuzhou, China
| | - Yongchao Fang
- Department of General Surgery, 900th Hospital of Joint Logistics Support Force, PLA, Dongfang Hospital, Xiamen University, Fuzhou, China
| | - Weihang Wu
- Department of General Surgery, 900th Hospital of Joint Logistics Support Force, PLA, Dongfang Hospital, Xiamen University, Fuzhou, China
| | - Weijin Yang
- Department of General Surgery, 900th Hospital of Joint Logistics Support Force, PLA, Dongfang Hospital, Xiamen University, Fuzhou, China
| | - Yanyan Jiang
- Department of Ultrasonography, 900th Hospital of Joint Logistics Support Force, PLA, Dongfang Hospital, Xiamen University, Fuzhou, China
| | - Yu Wang
- Fuzong Clinical Medical College of Fujian Medical University, Department of General Surgery, 900th Hospital of Joint Logistics Support Force, PLA, Fuzhou, China
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Reis J, Boavida J, Tran HT, Lyngra M, Reitsma LC, Schandiz H, Melles WA, Gjesdal KI, Geisler J, Geitung JT. Assessment of preoperative axillary nodal disease burden: breast MRI in locally advanced breast cancer before, during and after neoadjuvant endocrine therapy. BMC Cancer 2022; 22:702. [PMID: 35752785 PMCID: PMC9233812 DOI: 10.1186/s12885-022-09813-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 06/21/2022] [Indexed: 11/25/2022] Open
Abstract
Background Axillary lymph node (LN) metastasis is one of the most important predictors of recurrence and survival in breast cancer, and accurate assessment of LN involvement is crucial. Determining extent of residual disease is key for surgical planning after neoadjuvant therapy. The aim of the study was to evaluate the diagnostic reliability of MRI for nodal disease in locally advanced breast cancer patients treated with neoadjuvant endocrine therapy (NET). Methods Thirty-three clinically node-positive locally advanced breast cancer patients who underwent NET and surgery were prospectively enrolled. Two radiologists reviewed the axillary nodes at 3 separate time points MRI examinations at baseline (before the first treatment regimen), interim (following at least 2 months after the first cycle and prior to crossing-over), and preoperative (after the final administration of therapy and immediately before surgery). According to LN status after surgery, imaging features and diagnostic performance were analyzed. Results All 33 patients had a target LN reduction, the greatest treatment benefit from week 8 to week 16. There was a positive correlation between the maximal diameter of the most suspicious LN measured by MRI and pathology during and after NET, being highest at therapy completion (r = 0.6, P ≤ .001). Mean and median differences of maximal diameter of the most suspicious LN were higher with MRI than with pathology. Seven of 33 patients demonstrated normal posttreatment MRI nodal status (yrN0). Of these 7 yrN0, 3 exhibited no metastasis on final pathology (ypN0), 2 ypN1 and 2 ypN2. Reciprocally, MRI diagnosed 3 cases of ypN0 as yrN + . Diffusion -weighted imaging (DWI) was the only axillary node characteristic significant when associated with pathological node status (χ2(4) = 8.118, P = .072). Conclusion Performance characteristics of MRI were not completely sufficient to preclude surgical axillary staging. To our knowledge, this is the first study on MRI LN assessment following NET in locally advanced breast cancer, and further studies with larger sample sizes are required to consolidate the results of this preliminary study. Trial Registration Institutional Review Board approval was obtained (this current manuscript is from a prospective, open-label, randomized single-center cohort substudy of the NEOLETEXE trial). NEOLETEXE, a phase 2 clinical trial, was registered on March 23rd, 2015 in the National trial database of Norway and approved by the Regional Ethical Committee of the South-Eastern Health Region in Norway; registration number: REK-SØ-84–2015. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-022-09813-9.
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Affiliation(s)
- Joana Reis
- Department of Diagnostic Imaging and Intervention, Akershus University Hospital (AHUS), Postboks 1000, 1478, Lørenskog, Norway. .,Institute of Clinical Medicine, Campus AHUS, University of Oslo, Postboks 1000, 1478, Lørenskog, Norway. .,Translational Cancer Research Group, Akershus University Hospital (AHUS), Postboks 1000, 1478, Lørenskog, Norway.
| | - Joao Boavida
- Department of Diagnostic Imaging and Intervention, Akershus University Hospital (AHUS), Postboks 1000, 1478, Lørenskog, Norway
| | - Hang T Tran
- Department of Diagnostic Imaging and Intervention, Akershus University Hospital (AHUS), Postboks 1000, 1478, Lørenskog, Norway
| | - Marianne Lyngra
- Department of Pathology, Akershus University Hospital (AHUS), Postboks 1000, 1478, Lørenskog, Norway
| | - Laurens Cornelus Reitsma
- Department of Breast and Endocrine Surgery, Akershus University Hospital (AHUS), Postboks 1000, 1478, Lørenskog, Norway
| | - Hossein Schandiz
- Department of Pathology, Akershus University Hospital (AHUS), Postboks 1000, 1478, Lørenskog, Norway
| | - Woldegabriel A Melles
- Department of Diagnostic Imaging and Intervention, Akershus University Hospital (AHUS), Postboks 1000, 1478, Lørenskog, Norway
| | - Kjell-Inge Gjesdal
- Department of Diagnostic Imaging and Intervention, Akershus University Hospital (AHUS), Postboks 1000, 1478, Lørenskog, Norway.,Sunnmøre MR-Clinic, Agrinorbygget, Langelansveg 15, 6010, Ålesund, Norway
| | - Jürgen Geisler
- Institute of Clinical Medicine, Campus AHUS, University of Oslo, Postboks 1000, 1478, Lørenskog, Norway.,Translational Cancer Research Group, Akershus University Hospital (AHUS), Postboks 1000, 1478, Lørenskog, Norway.,Department of Oncology, Akershus University Hospital (AHUS), Postboks 1000, 1478, Lørenskog, Norway
| | - Jonn Terje Geitung
- Department of Diagnostic Imaging and Intervention, Akershus University Hospital (AHUS), Postboks 1000, 1478, Lørenskog, Norway.,Institute of Clinical Medicine, Campus AHUS, University of Oslo, Postboks 1000, 1478, Lørenskog, Norway.,Translational Cancer Research Group, Akershus University Hospital (AHUS), Postboks 1000, 1478, Lørenskog, Norway
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