Low RUFY3 expression level is associated with lymph node metastasis in older women with invasive breast cancer

Author(s):  
Fernando A. Angarita ◽  
Masanori Oshi ◽  
Akimitsu Yamada ◽  
Li Yan ◽  
Ryusei Matsuyama ◽  
...  
2019 ◽  
Vol 39 (4) ◽  
Author(s):  
Xiping Zhang ◽  
Binbin Tang ◽  
Dehong Zou ◽  
Hongjian Yang ◽  
Enqi Qiao ◽  
...  

Abstract Objectives: The present study aimed to discuss the impacts of changes to pathological indicators of patients with breast cancer upon the incidence of postoperative lymphedema of the upper limb and prognosis. Methods: 2597 female patients with breast cancer who received surgical treatment in our hospital were enrolled in the present study to evaluate the incidence of these patients’ postoperative lymphedema of the upper limb. Results: For patients with breast cancer, the incidence of postoperative lymphedema of the upper limb was related to T stage of breast cancer, lymph node metastasis, the number of metastatic lymph nodes, pTNM stage, and pathological types of breast cancer (P<0.05). Lymph node metastasis was an independent risk factor of lymphedema of the upper limb; lymph node metastasis and Ki-67 expression level were independent factors that impacted pathologic complete response rate of neoadjuvant chemotherapies. Patients’ mortality was correlated to pathological and molecular subtypes, Ki-67 expression level, ER expression level, PR expression level, and pTNM stage (P<0.05), among which the pTNM stage, Ki-67 expression level, and PR expression level were independent factors that affected prognosis of patients with breast cancer. Conclusion: Patients with lymph node metastasis were more prone to lymphedema of the upper limb, while it was easier for those whose Ki-67 expression level was high and who were not subject to lymph node metastasis to get a pathological complete response after receiving neoadjuvant chemotherapies. The prognosis was poorer among patients whose progesterone receptors were negative and Ki-67 expression levels were high at the advanced pTNM stage.


Author(s):  
Huswatun Hasanah ◽  
Rina Masadah ◽  
Berti J. Nelwan ◽  
Djumadi Achmad ◽  
Upik A. Miskad ◽  
...  

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.


2016 ◽  
Vol 16 (3) ◽  
pp. 385-394 ◽  
Author(s):  
Nina Petrović ◽  
Ana Kolaković ◽  
Aleksandra Stanković ◽  
Silvana Lukić ◽  
Ahmad Řami ◽  
...  

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