Importance of number of examined axillary lymph nodes for assessing the risk of locoregional recurrence (LRR) among breast cancer patients with 1–3 lymph node metastases

2006 ◽  
Vol 4 (2) ◽  
pp. 128-129
Author(s):  
P. Karisson ◽  
Cole ◽  
M. Castiglione-Gertsch ◽  
B. Gusterson ◽  
J. Lindtner ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Lymph Nodes ◽  
Cancer Patients ◽  
Lymph Node Metastases ◽  
Locoregional Recurrence ◽  
Axillary Lymph Nodes ◽  
Axillary Lymph ◽  
Breast Cancer Patients ◽  
Node Metastases

Simultaneous Immunohistochemical Detection of Tumor Cells in Lymph Nodes and Bone Marrow Aspirates in Breast Cancer and Its Correlation With Other Prognostic Factors

2001 ◽  
Vol 19 (4) ◽  
pp. 960-971 ◽  
Author(s):  
Bernd Gerber ◽  
Annette Krause ◽  
Heiner Müller ◽  
Dagmar Richter ◽  
Toralf Reimer ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Bone Marrow ◽  
Prognostic Factors ◽  
Lymph Node ◽  
Lymph Nodes ◽  
Cancer Patients ◽  
Tumor Cells ◽  
Axillary Lymph Nodes ◽  
Axillary Lymph ◽  
Breast Cancer Patients

PURPOSE: We studied the prognostic and predictive value of immunohistochemically detected occult tumor cells (OTCs) in lymph nodes and bone marrow aspirates obtained from node-negative breast cancer patients. All were classified as distant metastases-free using conventional staging methods. PATIENTS AND METHODS: A total of 484 patients with pT1-2N0M0 breast cancer and 70 with pT1-2N1M0 breast cancer and a single affected lymph node participated in our trial. Ipsilateral axillary lymph nodes and intraoperatively aspirated bone marrow were examined. All samples were examined for OTCs using monoclonal antibodies to cytokeratins 8, 18, 19. Immunohistological findings were correlated with other prognostic factors. The mean follow-up was 54 ± 24 months. RESULTS: OTCs were detected in 180 (37.2%) of 484 pT1-2N0M0 patients: in the bone marrow of 126 patients (26.0%), in the lymph nodes of 31 patients (6.4%), and in bone marrow and lymph nodes of 23 (4.8%) patients. Of the 70 patients with pT1-2N1MO breast cancer and a single involved lymph node, OTCs were identified in the bone marrow of 26 (37.1%). The ability to detect tumor cells increased with the following tumor features: larger size, poor differentiation, and higher proliferation. Tumors of patients with OTCs more frequently demonstrated lymph node invasion, blood vessel invasion, higher urokinase-type plasminogen activator levels, and increased PAI-1 concentrations. Patients with detected OTCs showed reduced disease-free survival (DFS) and overall survival (OAS) rates that were comparable to those observed in patients who had one positive lymph node. Multivariate analysis of prognostic factors revealed that OTCs, histological grading, and tumor size are significant predictors of DFS; OTCs and grading of OAS. CONCLUSION: OTCs detected by simultaneous immunohistochemical analysis of axillary lymph nodes and bone marrow demonstrate independent metastatic pathways. Although OTCs were significantly more frequent in patients with other unfavorable prognostic factors, they were confirmed as an independent prognostic factor for pT1-2N0M0, R0 breast cancer patients.

Genomic heritage of sentinel lymph node metastases: Implications for clinical management of breast cancer patients

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 571-571
Author(s):  
D. L. Ellsworth ◽  
R. E. Ellsworth ◽  
T. E. Becker ◽  
B. Deyarmin ◽  
H. L. Patney ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Lymph Nodes ◽  
Cancer Patients ◽  
Lymph Node Metastases ◽  
Molecular Mechanisms ◽  
Breast Cancer Patients ◽  
Sentinel Nodes ◽  
Axillary Nodes ◽  
Node Metastases

571 Background: Sentinel lymph node (SLN) biopsy status is a key prognostic factor for breast cancer patients. Sentinel nodes are believed to receive early disseminating cells from the primary tumor, but little is known about the origin of metastases colonizing the sentinel nodes. We used allelic imbalance (AI) to examine genomic relationships among metastases in the sentinel and non-sentinel axillary lymph nodes from complete axillary dissections in 15 patients with lymph node positive breast cancer. Methods: Sentinel nodes were localized by standard scintigraphic and gamma probe techniques using 1.0 mCi technetium-99m sulfur colloid. Pathologically positive nodes were identified by H&E histology and immunohistochemistry. Primary breast tumors and metastases in sentinel and axillary nodes were isolated by laser microdissection. AI was assessed at 26 chromosomal regions and used to examine the timing and molecular mechanisms of metastatic spread to the sentinel and axillary nodes. Results: Overall AI frequencies were significantly higher (p<0.05) in primary breast tumors compared to lymph node metastases. A high level of discordance was observed in patterns and frequencies of AI events between metastases in the sentinel and non-sentinel axillary nodes. Phylogenetic analyses showed that 1) multiple genetically-divergent lineages of metastatic cells independently colonize the lymph nodes; 2) some lymph node metastases appeared to acquire metastatic potential early in tumorigenesis, while other metastases evolved later; and 3) importantly, lineages colonizing the sentinel nodes appeared to originate at different times and to progress by different molecular mechanisms. Conclusions: Genomic diversity and timing of metastatic nodal spread may be important factors in determining outcomes of breast cancer patients. Metastases colonizing the sentinel nodes appear to arise at different times during disease progression and may not be descendants of progenitor cells that colonize the lymph nodes early in tumorigenesis. Metastatic growth in the sentinel nodes thus may be a consequence of stimulating factors from the primary tumor that affect proliferation of previously disseminated cells rather than the timing of metastatic spread. No significant financial relationships to disclose.

Adding carbon nanoparticles to dual-tracers for the sentinel node evaluation after neoadjuvant chemotherapy in patients with pretreatment node-positive breast cancers: The TT-SLNB trial.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 566-566
Author(s):  
Jie Chen ◽  
Jiqiao Yang ◽  
Tao He ◽  
Yunhao Wu ◽  
Xian Jiang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Neoadjuvant Chemotherapy ◽  
Lymph Nodes ◽  
Cancer Patients ◽  
Carbon Nanoparticles ◽  
Axillary Lymph Nodes ◽  
Axillary Lymph ◽  
Breast Cancers ◽  
Breast Cancer Patients

566 Background: This study measures the feasibility and accuracy of sentinel lymph node biopsy (SLNB) with triple-tracers (TT-SLNB) which combines carbon nanoparticles (CNS) with dual tracers of radioisotope and blue dye, hoping to achieve an optimized method of SLNB after neoadjuvant chemotherapy (NAC) in ycN0 breast cancer patients with pretreatment positive axillary lymph nodes. Methods: Clinically node-negative invasive breast cancer patients with pre-NAC positive axillary lymph nodes who received surgeries from November 2020 to January 2021 were included. CNS was injected at the peritumoral site the day before surgery. Standard dual-tracer (SD)-SLNs were defined as blue-colored and/or hot nodes, and TT-SLNs were defined as lymph nodes detected by any of hot, blue-stained, black-stained, and/or palpated SLNs. All patients received subsequent axillary lymph node dissection. Detection rate (DR), false-negative rate (FNR), negative predictive value (NPV) and accuracy of SLNB were calculated. Results: Seventy-six of 121 (62.8%) breast cancer patients converted to cN0 after NAC and received TT-SLNB. After NAC, 28.95% (22/76) achieved overall (breast and axilla) pCR. The DR was 94.74% (72/76), 88.16% (67/76) and 96.05% (73/76) for SLNB with single-tracer of CNS (CNS-SLNB), SD-SLNB, and TT-SLNB, respectively. The FNR was 22.86% (8/35) for CNS-SLNB and 10% (3/30) for SD-SLNB. The FNR of TT-SLNB was 5.71% (2/35), which was significantly lower than those of CNS-SLNB and SD-SLNB. The NPV and accuracy was 95.0% and 97.3% for TT-SLNB, respectively. Moreover, a significant relation was seen between the pretreatment clinical T classification and the DR of TT-SLNB (Fisher’s exact test, p= 0.010). Conclusions: TT-SLNB revealed ideal performance in post-NAC ycN0 patients with pretreatment node-positive breast cancers. The application of TT-SLNB reached a better balance between more accurate axillary evaluation and less intervention. Clinical trial information: ChiCTR2000039814. [Table: see text]

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