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Karamchandani S, Sahovaler A, Crosbie-Jones E, McGurk M, Thavaraj S, Alibhai M, Wan S, Forster MD, Sassoon I, Schilling C. Incidence and predictive factors for positive non-sentinel lymph nodes in completion neck dissection following a positive sentinel node biopsy in early oral cancer. Oral Oncol 2024; 159:107081. [PMID: 39426362 DOI: 10.1016/j.oraloncology.2024.107081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2024] [Revised: 10/07/2024] [Accepted: 10/13/2024] [Indexed: 10/21/2024]
Affiliation(s)
- Searan Karamchandani
- Head & Neck Academic Centre, Division of Surgery & Interventional Science, University College Hospital London, Charles Bell House, 43045 Foley St, London, W1W 7TS, United Kingdom
| | - Axel Sahovaler
- Head & Neck Academic Centre, Division of Surgery & Interventional Science, University College Hospital London, Charles Bell House, 43045 Foley St, London, W1W 7TS, United Kingdom
| | - Elizabeth Crosbie-Jones
- Head & Neck Academic Centre, Division of Surgery & Interventional Science, University College Hospital London, Charles Bell House, 43045 Foley St, London, W1W 7TS, United Kingdom
| | - Mark McGurk
- Head & Neck Academic Centre, Division of Surgery & Interventional Science, University College Hospital London, Charles Bell House, 43045 Foley St, London, W1W 7TS, United Kingdom
| | - Selvam Thavaraj
- Faculty of Dentistry, Oral and Craniofacial Science, King's College London, 4(th) Floor Tower Wing, Guy's Hospital, Great Maze Pond, London SE1 9RT, United Kingdom
| | - Mustansir Alibhai
- Head and Neck Surgical Department, Guy's & St Thomas Hospital NHS Foundation Trust, 20 St Thomas Street, London, SE1 9RS, United Kingdom
| | - Simon Wan
- Institute of Nuclear Medicine, UCL/UCLH, 235 Euston Road, London, NW1 2BU, United Kingdom
| | - Martin D Forster
- UCL Cancer Institute/University College London Hospitals NHS Trust, 72 Huntley Street, WC1 6DD, United Kingdom
| | - Isabel Sassoon
- Department of Computer Science, Brunel University London, Kingstone Ln, London, Uxbridge, UB8 3PH, United Kingdom
| | - Clare Schilling
- Head & Neck Academic Centre, Division of Surgery & Interventional Science, University College Hospital London, Charles Bell House, 43045 Foley St, London, W1W 7TS, United Kingdom.
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Tang X, Feng Y, Zhao W, Liu R, Chen N. Prediction of non-sentinel lymph node metastases in T1-2 sentinel lymph node-positive breast cancer patients undergoing mastectomy following neoadjuvant therapy. World J Surg Oncol 2024; 22:258. [PMID: 39342230 PMCID: PMC11439197 DOI: 10.1186/s12957-024-03537-9] [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: 04/11/2024] [Accepted: 09/09/2024] [Indexed: 10/01/2024] Open
Abstract
BACKGROUND Axillary lymph node dissection (ALND) is the standard axillary management for breast cancer patients with positive sentinel lymph node biopsy (SLNB) after neoadjuvant therapy. Nevertheless, when that happens, the frequency of additional positive nodes is not properly evaluated. We aim to develop a prediction model to assess the frequency of additional nodal disease after a positive sentinel lymph node following neoadjuvant therapy. METHODS We retrospectively analyzed the ultrasound and clinicopathological characteristics of breast cancer patients with 1-3 positive sentinel lymph nodes (SLN) undergoing mastectomy after neoadjuvant therapy (NAT) at our institution, and performed univariate and multivariate logistic analyses to confirm the factors affecting non-SLN metastasis. These factors were included to establish a nomogram, and the area under receiver operating characteristic curve (AUC) and decision curve analysis (DCA) were utilized to assess the validity of this model. RESULTS A total of 126 breast cancer patients were ultimately included in our study, 38 (53.5%) patients were diagnosed with non-SLN metastases of all 71 patients in training set. The results of multifactorial logistic analysis suggested that lymph node metastasis ratio (LNR), short axis of lymph node and progesterone receptor (PR) were strongly associated with non-SLN metastasis. We established a nomogram using the above three variables as predictors, which yielded an area under the curve of 0.795, and validated with a favorable AUC of 0.876. CONCLUSION The nomogram we constructed can accurately predict the likelihood of non-SLN metastasis in our patients with 1-3 positive SLN after NAT, which may help guide decision making regarding axillary management.
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Affiliation(s)
- Xiaoxi Tang
- Department of Oncology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yang Feng
- Department of Breast and Thyroid Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Wei Zhao
- Department of Oncology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Rui Liu
- Department of Oncology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
| | - Nan Chen
- Department of Anesthesiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
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Zhao X, Yang L, Cao C, Song Z. The prognostic analysis of further axillary dissection in breast cancer with 1-2 positive sentinel lymph nodes undergoing mastectomy. Front Oncol 2024; 14:1406981. [PMID: 39161383 PMCID: PMC11330764 DOI: 10.3389/fonc.2024.1406981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Accepted: 07/22/2024] [Indexed: 08/21/2024] Open
Abstract
Background The ACOSOG Z0011 study has shown that axillary lymph node dissection (ALND) is an option to be considered in patients who had 1-2 metastatic sentinel lymph nodes (SLNs) who proceed with breast-conserving along with postoperative radiotherapy. However, there remains controversy regarding the applicability of this approach in patients who had a mastectomy. The aim of our study is to determine the prognostic differences and risk factors associated with the decision to opt for ALND in breast cancer patients who had 1-2 metastatic SLNs who receive a mastectomy. Methods The study conducted a retrospective analysis of patients diagnosed with cT1-2N0 breast cancer and treated at The Fourth Hospital of Hebei Medical University between January 2016 and December 2021, and patients were divided into two cohorts according to whether ALND was performed after sentinel lymph node biopsy (SLNB): SLNB cohort and SLNB + ALND cohort. Outcomes included the locoregional recurrence rate (LRR), disease-free survival (DFS), and overall survival (OS). Propensity score matching (PSM) was conducted to ensure the balance of variables between the two cohorts. Cox proportional hazard models were employed to ascertain the univariate and multivariate relative risks associated with survival. Results There were 812 cases enrolled. After the PSM, 234 receiving ALND and 234 not receiving ALND were matched. A median follow-up period of 56.72 ± 20.29 months was observed. During that time, no significant difference was identified in the DFS and OS in the SLNB + ALND cohort and the SLNB cohort (P = 0.208 and P = 0.102), except for those under 40 years old, SLNB + ALND group showed a reduction in LRR compared to SLNB group (11.1% vs. 2.12%, P = 0.044). Multivariate Cox analysis showed that younger (≤ 40 years), progesterone receptor (PR)-negative, and SLNB alone were independent risk factors for LRR; perineural invasion was a risk factor, while endocrinotherapy was a beneficial prognostic indicator for DFS and OS among patients with positive hormone receptor. Conclusion ALND does not impact DFS and OS in patients with 1-2 metastatic SLNs who have completed a mastectomy. Being younger (≤ 40 years), having a negative PR, and undergoing SLNB alone were independent risk factors for LRR. Given this finding, we recommend avoiding axillary treatment such as ALND or radiotherapy in patients without risk factors.
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Affiliation(s)
| | | | | | - Zhenchuan Song
- Department of Breast Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
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Munck F, Jensen MB, Vejborg I, Gerlach MK, Maraldo MV, Kroman NT, Tvedskov THF. Residual Axillary Metastases in Node-Positive Breast Cancer Patients After Neoadjuvant Treatment: A Register-Based Study. Ann Surg Oncol 2024; 31:5157-5167. [PMID: 38704502 PMCID: PMC11236906 DOI: 10.1245/s10434-024-15354-1] [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: 01/17/2024] [Accepted: 04/09/2024] [Indexed: 05/06/2024]
Abstract
BACKGROUND Lymph node (LN) metastasis after neoadjuvant chemotherapy (NACT) generally warrants axillary lymph node dissection, which opposes guidelines of upfront surgery in many cases. We investigated the risk of having additional metastases in the axilla when the LNs removed by targeted axillary dissection (TAD) harbored metastases after NACT. We aimed to identify subgroups suitable for de-escalated axillary treatment. METHODS This register-based study used data from the Danish Breast Cancer Cooperative Group database. Data were analyzed with logistic regression models. The primary outcome was the metastatic burden in non-TAD LNs in patients with positive TAD LNs after NACT. RESULTS Among 383 patients, < 66.6% positive TAD LNs (adjusted odds ratio [OR] 0.34, 95% confidence interval [CI] 0.17-0.62), only isolated tumor cells (ITCs) [OR 0.11, 95% CI < 0.01-0.82], and breast pathological complete response (pCR) [OR 0.07, 95% CI < 0.01-0.56] were associated with a low risk of having more than three positive non-TAD LNs. In 315 patients with fewer than three positive non-TAD LNs, the proportion of positive TAD LNs (OR 0.45, 95% CI 0.27-0.76 for 33.3-66.6% vs. > 66.6%), size of the TAD LN metastasis (OR 0.14, 95% CI 0.04-0.54 for ITC vs. macrometastasis), tumor size at diagnosis (OR 0.30, 95% CI 0.15-0.64 for 20-49 mm vs. ≥ 50 mm) and breast pCR (OR 0.38, 95% CI 0.15-0.96) were associated with residual LN metastases in the axilla. CONCLUSIONS Breast pCR or ITC only in TAD LNs can, with reasonable certainty, preclude more than three positive non-TAD LNs. Additionally, patients with only ITCs in the TAD LN had a low risk of having any non-TAD LN metastases after NACT. De-escalated axillary treatment may be considered in both subgroups.
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Affiliation(s)
- Frederikke Munck
- Department of Breast Surgery, Herlev-Gentofte Hospital, Hellerup, Denmark.
| | - Maj-Britt Jensen
- Danish Breast Cancer Group, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Ilse Vejborg
- Department of Breast Examinations and Capital Mammography Screening, Herlev-Gentofte Hospital, Hellerup, Denmark
| | - Maria K Gerlach
- Department of Pathology, Herlev-Gentofte Hospital, Hellerup, Denmark
| | - Maja V Maraldo
- Department of Clinical Oncology, Center of Cancer and Organ Diseases, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | | | - Tove H F Tvedskov
- Department of Breast Surgery, Herlev-Gentofte Hospital, Hellerup, Denmark
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Yang L, Zhao X, Yang L, Chang Y, Cao C, Li X, Wang Q, Song Z. A new prediction nomogram of non-sentinel lymph node metastasis in cT1-2 breast cancer patients with positive sentinel lymph nodes. Sci Rep 2024; 14:9596. [PMID: 38671007 PMCID: PMC11053028 DOI: 10.1038/s41598-024-60198-0] [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: 01/14/2024] [Accepted: 04/19/2024] [Indexed: 04/28/2024] Open
Abstract
We aimed to analyze the risk factors and construct a new nomogram to predict non-sentinel lymph node (NSLN) metastasis for cT1-2 breast cancer patients with positivity after sentinel lymph node biopsy (SLNB). A total of 830 breast cancer patients who underwent surgery between 2016 and 2021 at multi-center were included in the retrospective analysis. Patients were divided into training (n = 410), internal validation (n = 298), and external validation cohorts (n = 122) based on periods and centers. A nomogram-based prediction model for the risk of NSLN metastasis was constructed by incorporating independent predictors of NSLN metastasis identified through univariate and multivariate logistic regression analyses in the training cohort and then validated by validation cohorts. The multivariate logistic regression analysis revealed that the number of positive sentinel lymph nodes (SLNs) (P < 0.001), the proportion of positive SLNs (P = 0.029), lymph-vascular invasion (P = 0.029), perineural invasion (P = 0.023), and estrogen receptor (ER) status (P = 0.034) were independent risk factors for NSLN metastasis. The area under the receiver operating characteristics curve (AUC) value of this model was 0.730 (95% CI 0.676-0.785) for the training, 0.701 (95% CI 0.630-0.773) for internal validation, and 0.813 (95% CI 0.734-0.891) for external validation cohorts. Decision curve analysis also showed that the model could be effectively applied in clinical practice. The proposed nomogram estimated the likelihood of positive NSLNs and assisted the surgeon in deciding whether to perform further axillary lymph node dissection (ALND) and avoid non-essential ALND as well as postoperative complications.
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Affiliation(s)
- Liu Yang
- Department of Breast Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050000, China
| | - Xueyi Zhao
- Department of Breast Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050000, China
| | - Lixian Yang
- Department of Breast Surgery, Xingtai People's Hospital, Xingtai, 054000, China
| | - Yan Chang
- Department of Breast Surgery, Affiliated Hospital of Hebei Engineering University, Handan, 056000, China
| | - Congbo Cao
- Department of Breast Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050000, China
| | - Xiaolong Li
- Department of Breast Surgery, The Fourth Hospital of Shijiazhuang, Shijiazhuang, 050000, China
| | - Quanle Wang
- Department of Breast Surgery, The Fourth Hospital of Shijiazhuang, Shijiazhuang, 050000, China
| | - Zhenchuan Song
- Department of Breast Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050000, China.
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Wang X, Zhang G, Zuo Z, Zhu Q, Liu Z, Wu S, Li J, Du J, Yan C, Ma X, Shi Y, Shi H, Zhou Y, Mao F, Lin Y, Shen S, Zhang X, Sun Q. A novel nomogram for the preoperative prediction of sentinel lymph node metastasis in breast cancer. Cancer Med 2023; 12:7039-7050. [PMID: 36524283 PMCID: PMC10067027 DOI: 10.1002/cam4.5503] [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: 03/29/2022] [Revised: 10/29/2022] [Accepted: 11/22/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND OR PURPOSE A practical noninvasive method to identify sentinel lymph node (SLN) status in breast cancer patients, who had a suspicious axillary lymph node (ALN) at ultrasound (US), but a negative clinical physical examination is needed. To predict SLN metastasis using a nomogram based on US and biopsy-based pathological features, this retrospective study investigated associations between clinicopathological features and SLN status. METHODS Patients treated with SLN dissection at four centers were apportioned to training, internal, or external validation sets (n = 472, 175, and 81). Lymph node ultrasound and pathological characteristics were compared using chi-squared and t-tests. A nomogram predicting SLN metastasis was constructed using multivariate logistic regression models. RESULTS In the training set, statistically significant factors associated with SLN+ were as follows: histology type (p < 0.001); progesterone receptor (PR: p = 0.003); Her-2 status (p = 0.049); and ALN-US shape (p = 0.034), corticomedullary demarcation (CMD: p < 0.001), and blood flow (p = 0.001). With multivariate analysis, five independent variables (histological type, PR status, ALN-US shape, CMD, and blood flow) were integrated into the nomogram (C-statistic 0.714 [95% CI: 0.688-0.740]) and validated internally (0.816 [95% CI: 0.784-0.849]) and externally (0.942 [95% CI: 0.918-0.966]), with good predictive accuracy and clinical applicability. CONCLUSION This nomogram could be a direct and reliable tool for individual preoperative evaluation of SLN status, and therefore aids decisions concerning ALN dissection and adjuvant treatment.
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Affiliation(s)
- Xue‐fei Wang
- Breast Surgery Department, Chinese Academy of Medical Sciences and Peking Union Medical CollegePeking Union Medical College and HospitalBeijingChina
| | - Guo‐chao Zhang
- Department of Thoracic SurgeryNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Zhi‐chao Zuo
- Radiology Department, Xiangtan Central HospitalHunanChina
| | - Qing‐li Zhu
- Ultrasound Medicine DepartmentChinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College HospitalBeijingChina
| | - Zhen‐zhen Liu
- Ultrasound Medicine DepartmentChinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College HospitalBeijingChina
| | - Sha‐fei Wu
- Molecular Pathology Research Center, Department of PathologyPeking Union Medical College Hospital, Chinese Academy of Medical SciencesBeijingChina
| | - Jia‐xin Li
- Breast Surgery Department, Chinese Academy of Medical Sciences and Peking Union Medical CollegePeking Union Medical College and HospitalBeijingChina
| | - Jian‐hua Du
- Breast Surgery Department, Chinese Academy of Medical Sciences and Peking Union Medical CollegePeking Union Medical College and HospitalBeijingChina
| | - Cun‐li Yan
- Breast Surgery DepartmentBaoji Maternal and Child Health HospitalShaanxiChina
| | - Xiao‐ying Ma
- Breast Surgery DepartmentQinghai Provincial People's HospitalQinghaiChina
| | - Yue Shi
- Breast Surgery DepartmentShanxi Traditional Chinese Medical HospitalShanxiChina
| | - He Shi
- Breast Surgery DepartmentShanxi Traditional Chinese Medical HospitalShanxiChina
| | - Yi‐dong Zhou
- Breast Surgery Department, Chinese Academy of Medical Sciences and Peking Union Medical CollegePeking Union Medical College and HospitalBeijingChina
| | - Feng Mao
- Breast Surgery Department, Chinese Academy of Medical Sciences and Peking Union Medical CollegePeking Union Medical College and HospitalBeijingChina
| | - Yan Lin
- Breast Surgery Department, Chinese Academy of Medical Sciences and Peking Union Medical CollegePeking Union Medical College and HospitalBeijingChina
| | - Song‐jie Shen
- Breast Surgery Department, Chinese Academy of Medical Sciences and Peking Union Medical CollegePeking Union Medical College and HospitalBeijingChina
| | - Xiao‐hui Zhang
- Breast Surgery Department, Chinese Academy of Medical Sciences and Peking Union Medical CollegePeking Union Medical College and HospitalBeijingChina
| | - Qiang Sun
- Breast Surgery Department, Chinese Academy of Medical Sciences and Peking Union Medical CollegePeking Union Medical College and HospitalBeijingChina
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Zhu T, Lin X, Zhang T, Li W, Gao H, Yang C, Ji F, Zhang Y, Zhang J, Pan W, Zhuang X, Shen B, Chen Y, Wang K. A Model Incorporating Axillary Tail Position on Mammography for Preoperative Prediction of Non-sentinel Lymph Node Metastasis in Patients with Initial cN+ Breast Cancer after Neoadjuvant Chemotherapy. Acad Radiol 2022; 29:e271-e278. [PMID: 35504810 DOI: 10.1016/j.acra.2022.03.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 03/01/2022] [Accepted: 03/12/2022] [Indexed: 02/05/2023]
Abstract
RATIONALE AND OBJECTIVES This study aimed to develop a model incorporating axillary tail position on mammography (AT) for the prediction of non-sentinel Lymph Node (NSLN) metastasis in patients with initial clinical node positivity (cN+). METHODS AND MATERIALS The study reviewed a total of 257 patients with cN+ breast cancer who underwent both sentinel lymph node biopsy (SLNB) and axillary lymph node dissection (ALND) following neoadjuvant chemotherapy (NAC). A logistic regression model was developed based on these factors and the results of post-NAC AT and axillary ultrasound (AUS). RESULTS Four clinical factors with p<0.1 in the univariate analysis, including ycT0(odds ratio [OR]: 4.84, 95% confidence interval [CI]: 2.13-11.91, p<0.001), clinical stage before NAC (OR: 2.68, 95%CI: 1.15-6.58, p=0.025), estrogen receptor (ER) expression (OR: 3.29, 95%CI: 1.39-8.39, p=0.009), and HER2 status (OR: 0.21, 95%CI: 0.08-0.50, p=0.001), were independent predictors of NSLN metastases. The clinical model based on the above four factors resulted in the area under the curve (AUC) of 0.82(95%CI: 0.76-0.88) in the training set and 0.83(95% CI: 0.74-0.92) in the validation set. The results of post-NAC AUS and AT were added to the clinical model to construct a clinical imaging model for the prediction of NSLN metastasis with AUC of 0.87(95%CI: 0.81-0.93) in the training set and 0.89(95%CI: 0.82-0.96) in the validation set. CONCLUSIONS The study incorporated the results of post-NAC AT and AUS with other clinal factors to develop a model to predict NSLN metastasis in patients with initial cN+ before surgery. This model performed excellently, allowing physicians to select patients for whom unnecessary ALND could be avoided after NAC.
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Affiliation(s)
- Teng Zhu
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China; Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 123 Huifu West Road, Guangzhou, 510080, China
| | - Xiaocheng Lin
- Department of Ultrasound, Guangzhou Women and Children's Medical Center, Guangzhou, China
| | - Tingfeng Zhang
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China; Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 123 Huifu West Road, Guangzhou, 510080, China
| | - Weiping Li
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China; Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 123 Huifu West Road, Guangzhou, 510080, China
| | - Hongfei Gao
- Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 123 Huifu West Road, Guangzhou, 510080, China
| | - Ciqiu Yang
- Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 123 Huifu West Road, Guangzhou, 510080, China
| | - Fei Ji
- Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 123 Huifu West Road, Guangzhou, 510080, China
| | - Yi Zhang
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China; Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 123 Huifu West Road, Guangzhou, 510080, China
| | - Junsheng Zhang
- Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 123 Huifu West Road, Guangzhou, 510080, China; Diagnosis & Treatment Center of Breast Diseases ,Shantou University Medical College, Shantou, Guangdong, China
| | - Weijun Pan
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China; The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Xiaosheng Zhuang
- Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 123 Huifu West Road, Guangzhou, 510080, China; Diagnosis & Treatment Center of Breast Diseases ,Shantou University Medical College, Shantou, Guangdong, China
| | - Bo Shen
- Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 123 Huifu West Road, Guangzhou, 510080, China; Diagnosis & Treatment Center of Breast Diseases ,Shantou University Medical College, Shantou, Guangdong, China
| | - Yuanqi Chen
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China; Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 123 Huifu West Road, Guangzhou, 510080, China
| | - Kun Wang
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 123 Huifu West Road, Guangzhou, 510080, China
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Sanders SB, Hoskin TL, Stafford AP, Boughey JC. Factors Influencing Non-sentinel Lymph Node Involvement in Patients with Positive Sentinel Lymph Node(s) After Neoadjuvant Chemotherapy for Breast Cancer. Ann Surg Oncol 2022; 29:7769-7778. [PMID: 35834142 DOI: 10.1245/s10434-022-12064-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 06/07/2022] [Indexed: 11/18/2022]
Abstract
BACKGROUND When a positive sentinel lymph node (SLN) is identified after neoadjuvant chemotherapy (NAC), completion axillary lymph node dissection (cALND) is generally recommended. We sought to evaluate the rate of non-SLN positivity and factors influencing this in patients with a positive SLN following NAC. METHODS We identified all patients at our hospital between 2006 and 2021 with a positive SLN (> 0.2 mm) following NAC who underwent cALND. Rates of positive non-SLN (NSLN) on cALND were compared by nodal status. Chi-square tests and multivariable logistic regression were used to assess factors predictive of positive NSLN and overall nodal burden. RESULTS Overall, 229 cases (177 cN+, 52 cN0 prior to NAC) with positive SLN(s) after NAC underwent cALND. Additional NSLN involvement was found in 129/229 (56.3%) patients, including 24/52 (46.2%) cN0 and 105/177 (59.3%) cN+ patients (p = 0.09). There was a trend for patients with SLN micrometastases to be less likely to have positive NSLN(s) than those with SLN macrometastases (38.5% vs. 58.6%; p = 0.05). Subgroup analyses showed no clinicopathologic factors significantly associated with additional axillary involvement for initially cN0 patients. Factors found to significantly influence NSLN positivity in the initially cN+ subgroup were HER2 status, multicentricity/multifocality, number of positive SLNs, and size of SLN metastasis. SLN metastasis size > 5 mm and three or more positive SLNs exerted the greatest influence on NSLN positivity. CONCLUSION Rates of nodal positivity on cALND in the setting of positive SLN after NAC are high, supporting the current standard of routine cALND. In cN+ disease, NSLN positivity varies by tumor biology, multicentricity/multifocality, number of positive SLNs, and SLN metastasis size.
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Affiliation(s)
- Stacy B Sanders
- Division of Breast and Melanoma Surgical Oncology, Department of Surgery, Mayo Clinic, Rochester, MN, USA
| | - Tanya L Hoskin
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Arielle P Stafford
- Division of Breast and Melanoma Surgical Oncology, Department of Surgery, Mayo Clinic, Rochester, MN, USA
| | - Judy C Boughey
- Division of Breast and Melanoma Surgical Oncology, Department of Surgery, Mayo Clinic, Rochester, MN, USA.
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Nakamura R, Hayama S, Sonoda I, Miyaki T, Itami M, Yamamoto N. Clinical impact of the biology of synchronous axillary lymph node metastases in primary breast cancer on preoperative treatment strategy. J Surg Oncol 2021; 123:1513-1520. [PMID: 33684224 DOI: 10.1002/jso.26438] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 01/12/2021] [Accepted: 02/08/2021] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND OBJECTIVES The purpose of this study was to assess the utility of determining the biological features of synchronous axillary lymph node (syLN) metastasis of breast cancer in evaluating the efficacy of preoperative systemic chemotherapy (PST). MATERIALS AND METHODS The retrospective subjects initially comprised 59 patients (T1c-4 N1-3 M0) diagnosed with syLN metastasis via core needle biopsy who received PST. The hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2) status in each patient was assessed in primary breast tumor (pBT) and syLNs using immunohistochemistry, and the patients were classified into HR(+), HER2(+), and triple negative breast cancer (TN) subtypes. RESULTS Subtype shift (SS) of pBT in syLNs was observed in 28% cases for HR(+), in 6% cases for the HER2(+), and in 16% cases for the TN. The pCR rate of the pBT and syLNs types were 45% and 36% in the HR(+), 45% and 39% in the TN, and 94% and 100% in the HER2(+), respectively. In SS cases, the pCR rate was significantly higher in 75% cases compared with 33% of the no-SS cases. CONCLUSION A SS in syLNs was more frequent in HR(+) than in other types.
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Affiliation(s)
- Rikiya Nakamura
- Division of Breast Surgery, Chiba Cancer Center, Chiba, Japan
| | - Shouko Hayama
- Division of Breast Surgery, Chiba Cancer Center, Chiba, Japan
| | - Itaru Sonoda
- Division of Breast Surgery, Chiba Cancer Center, Chiba, Japan
| | - Toshiko Miyaki
- Division of Breast Surgery, Chiba Cancer Center, Chiba, Japan
| | - Makiko Itami
- Division of Diagnostic Pathology, Chiba Cancer Center, Chiba, Japan
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