scholarly journals c-Met overexpression in breast cancer with positive axillary lymph node

2019 ◽  
Vol 7 (10) ◽  
pp. 3627
Author(s):  
Huswatun Hasanah ◽  
Rina Masadah ◽  
Berti J. Nelwan ◽  
Djumadi Achmad ◽  
Upik A. Miskad ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Lymph Nodes ◽  
Tumor Cells ◽  
Invasive Breast Cancer ◽  
Breast Cancer Incidence ◽  
Axillary Lymph Nodes ◽  
Axillary Lymph ◽  
Node Metastasis

Background: Breast cancer is the second most common cancer in the world and is the most epidemic cancer in women, with approximately 1.67 million cases. Metastasis of tumor cells to other organs is a major cause of the increasing trend of mortality in breast cancer. This study aims to analyze the expression of c-Met associated with metastasis to axillary lymph nodes in invasive breast cancer.Method: The research was conducted at the Laboratory of Anatomical Pathology of Hasanuddin University Hospital. Stratified sampling was performed from January 2014 - January 2019. Immunohistochemical staining technique was applied upon 66 collected samples, followed by evaluating the c-Met expression score in invasive breast cancer group with positive and negative lymph node status.Result: c-Met overexpression was found among the invasive breast cancer incidence with lymph node metastasis. Among 50 cases with c-Met overexpression (c-Met positive), 40 cases (80%) of invasive breast cancer with lymph node metastasis were identified, while 10 cases (20%) were found in invasive breast cancer without metastasis to lymph nodes. On 16 cases with negative c-Met, 3 cases (18.8%) were found in invasive breast cancer with lymph node metastasis, and 13 cases (81.3%) in invasive breast cancer without metastasis to the lymph nodes. The statistical test results indicated a significant correlation between c-Met expression scores and metastasis to axillary lymph nodes in invasive breast cancer (p <0.001).Conclusion: As one of biomarkers, c-Met overexpression plays a vital role in the treatment of patients with invasive breast cancer to predict patient outcomes and to determine modalities. It is possible to apply c-Met overexpression to investigate aggressiveness of metastatic tumor cells in the future.

scholarly journals Dedicated Axillary MRI-Based Radiomics Analysis for the Prediction of Axillary Lymph Node Metastasis in Breast Cancer

Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 757
Author(s):  
Sanaz Samiei ◽  
Renée W. Y. Granzier ◽  
Abdalla Ibrahim ◽  
Sergey Primakov ◽  
Marc B. I. Lobbes ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Lymph Nodes ◽  
Axillary Lymph Node ◽  
Axillary Lymph Node Metastasis ◽  
Axillary Lymph Nodes ◽  
Axillary Lymph ◽  
Mr Images ◽  
Node Metastasis

Radiomics features may contribute to increased diagnostic performance of MRI in the prediction of axillary lymph node metastasis. The objective of the study was to predict preoperative axillary lymph node metastasis in breast cancer using clinical models and radiomics models based on T2-weighted (T2W) dedicated axillary MRI features with node-by-node analysis. From August 2012 until October 2014, all women who had undergone dedicated axillary 3.0T T2W MRI, followed by axillary surgery, were retrospectively identified, and available clinical data were collected. All axillary lymph nodes were manually delineated on the T2W MR images, and quantitative radiomics features were extracted from the delineated regions. Data were partitioned patient-wise to train 100 models using different splits for the training and validation cohorts to account for multiple lymph nodes per patient and class imbalance. Features were selected in the training cohorts using recursive feature elimination with repeated 5-fold cross-validation, followed by the development of random forest models. The performance of the models was assessed using the area under the curve (AUC). A total of 75 women (median age, 61 years; interquartile range, 51–68 years) with 511 axillary lymph nodes were included. On final pathology, 36 (7%) of the lymph nodes had metastasis. A total of 105 original radiomics features were extracted from the T2W MR images. Each cohort split resulted in a different number of lymph nodes in the training cohorts and a different set of selected features. Performance of the 100 clinical and radiomics models showed a wide range of AUC values between 0.41–0.74 and 0.48–0.89 in the training cohorts, respectively, and between 0.30–0.98 and 0.37–0.99 in the validation cohorts, respectively. With these results, it was not possible to obtain a final prediction model. Clinical characteristics and dedicated axillary MRI-based radiomics with node-by-node analysis did not contribute to the prediction of axillary lymph node metastasis in breast cancer based on data where variations in acquisition and reconstruction parameters were not addressed.

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.

Characteristics of Invasive Breast Cancer Detected by Digital Breast Tomosynthesis on Screening and Diagnostic Mammograms

2020 ◽  
pp. 084653711988838
Author(s):  
Serine E. Baydoun ◽  
Limin Yang ◽  
Jinhu Xiong ◽  
Laurie L. Fajardo
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Lymph Nodes ◽  
Cancer Detection ◽  
Invasive Breast Cancer ◽  
Axillary Lymph Nodes ◽  
Lymph Node Status ◽  
Axillary Lymph ◽  
Screening Population ◽  
Aggressive Tumors

Objective: To determine whether there is added benefit for 3D mammography in the context of screening and diagnostic imaging, particularly relating to known prognostic characteristics, including histopathology, receptor status, and axillary lymph node involvement. Methods: An institutional review board–approved retrospective review was performed of our mammography and pathology databases from October 2012 to May 2015 to identify biopsy-proven invasive breast carcinoma detected on screening and diagnostic mammograms by 2D plus 3D (2D + 3D) imaging. Percentages of cancer detection by 2D and 3D were compared. Correlation with histopathology and lymph node status was analyzed. Results: Of 53 cancers diagnosed on 12 543 screening mammograms, 36 (67.9%) were better visualized on 3D (not visualized, equivocal, or only seen in retrospect on 2D). Of the 62 cancers diagnosed on 4090 diagnostic mammograms, 24 (38.7%) cancers were better detected on 3D. A statistically significant greater number of cancers were better detected on 3D in the screening compared to the diagnostic mammograms (67.9% vs 38.7%, P < .05). A significantly higher frequency of less aggressive tumors (grade I and grade II, positive estrogen/progesterone receptor, Her2 negative) was detected by 3D, with higher significance in the screening population. Additionally, there was a higher frequency of positive axillary lymph nodes in cancers detected by 3D in the screening group. Conclusion: Three-dimension increases invasive breast cancer detection, particularly pathologically less aggressive tumors, in both screening and diagnostic mammograms with more benefit for the screening population. Three-dimensional mammography detected more breast cancer associated with metastatic axillary lymph nodes in the screening population.

A Case of Marked Response to Preoperative Chemoradiotherapy for Rectal Cancer With Para-Aortic Lymph Node Metastasis

2011 ◽  
Vol 96 (2) ◽  
pp. 139-143
Author(s):  
Atsushi Horiuchi ◽  
Keiji Matsuda ◽  
Takuya Akahane ◽  
Ryu Shimada ◽  
Hajime Shibuya ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Lymph Nodes ◽  
Preoperative Chemoradiotherapy ◽  
Response To Treatment ◽  
Axillary Lymph Nodes ◽  
Axillary Lymph ◽  
Node Metastasis ◽  
Aortic Lymph Node

Abstract A 67-year-old man had rectal cancer with para-aortic lymph node metastasis. Prior to surgical resection, tegafur-uracil and leucovorin had been administered orally as chemotherapy, and radiotherapy (50.4 Gy) was applied for the rectum and para-aortic lymph nodes. Low anterior resection was then performed, followed by 45 cycles of chemotherapy in total. Enlargement of the left axillary lymph nodes was noted during treatment, but nodes shrank in response to treatment with bevacizumab + FOLFIRI (i.e., irinotecan + 5-fluorouracil/leucovorin). As of the time of writing, 36 months after diagnosis, no swelling of the para-aortic lymph nodes was evident and chemotherapy was being continued. This patient was alive after achieving response to neoadjuvant therapy comprising chemotherapy and irradiation of the para-aortic lymph nodes, along with postoperative chemotherapy. This therapeutic approach of preoperative chemotherapy plus irradiation of the primary lesion and para-aortic lymph nodes has potential as an effective treatment.

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