Predictors of Lymph Node Metastasis in T1 Breast Carcinoma, Stratified by Patient Age

2002 ◽  
Vol 8 (6) ◽  
pp. 349-355 ◽  
Author(s):  
Amila Orucevic ◽  
Vijaya B. Reddy ◽  
Kenneth J. Bloom ◽  
Pincas Bitterman ◽  
Cristina Magi-Galluzzi ◽  
...  
2017 ◽  
Vol 7 (1) ◽  
pp. 1078-1083
Author(s):  
A Pradhan ◽  
P Paudyal ◽  
AK Sinha ◽  
CS Agrawal

Background: Breast carcinoma is the most frequent malignant tumor in women accounting for approximately 15% of female cancer deaths. It is the second most common malignancy among women in Nepal. Our objectives were to study the extent and spread of different histological types breast carcinoma in the eastern region of Nepal, to grade and stage the tumors, score the prognosis.Materials and Methods: A cross-sectional descriptive study of mastectomy specimens with axillary lymph node sampling was done for a period of two years. Diagnosis was done using WHO classification. Modified Bloom Richardson score and TNM system was used to grade and stage the tumors. Nottingham Prognostic index was applied to score the prognosis.Results: Out of 31 total cases, the most common histologic type was Invasive Carcinoma of No Special Type (67.74%). The largest tumor size was of 12cm which had poor NPI score. Most tumors were of grade II and T2. Out of 30 cases with lymph nodes, 13 were negative for metastasis pN0, 10 were pN1 and 7 were pN2. Extranodal spread was observed in 6 out of 17 cases with lymph node metastasis and was associated with higher grades and poor prognosis.Conclusion: Higher grade tumors, lymph node metastasis and extranodal extension are associated with higher Nottingham Prognostic Index score. 


2020 ◽  
Vol 34 ◽  
pp. 205873842095058
Author(s):  
Alexander Autenshlyus ◽  
Sergey Arkhipov ◽  
Elena Mikhailova ◽  
Igor Marinkin ◽  
Nikolay Varaksin ◽  
...  

Currently, a number of promising strategies and approaches to cancer treatment include differentiation therapy. However, theoretical and methodological foundations of this field are not yet well developed. The objective of this study was to determine the effects of a mixture of polyclonal activators (PAs; phytohaemagglutinin, concanavalin A and lipopolysaccharide) on cytokine production by biopsy samples of invasive breast carcinoma of no special type (IBC-NST) having various differentiation abilities and metastatic potentials as well as on differentiation status of the IBC-NST biopsy samples. We used ELISAs to investigate spontaneous and PA-stimulated cytokine production in the IBC-NST biopsy samples; from these data, we calculated a cytokine production stimulation index (SIPA). The effect of PAs on tumour cell differentiation was determined via a differentiation stimulation index (DSI). DSI was found to vary within the range 1.0–5.0. After treatment with PAs, in the IBC-NST biopsy samples of group I (DSI <1.25), the production of IL-2, IL-6, IL-8, IL-17, IL-18, IL-1β, IL-1Ra, TNF-α and GM-CSF increased; in the biopsy samples of group II (DSI >1.25), the production of IL-6, IL-1β, IL-1Ra, TNF-α, G-CSF and GM-CSF significantly increased, while the production of VEGF-A decreased. Receiver operating characteristic (ROC) analysis of SIPA revealed that increased production of IL-18 in the IBC-NST biopsy samples after exposure to PAs may block the PA-driven, cytokine-mediated differentiation of moderately differentiated into highly differentiated tumour cells. The ROC analysis also uncovered an association between the responses of tumour cells to PAs and lymph node metastasis observed in the patients. The findings suggest that there is a need for research aimed at finding new drugs for differentiating cancer therapy and at searching for targeted inducers of cytokine production or specific suppressors of their induction.


2007 ◽  
Vol 11 (1) ◽  
pp. 10-12 ◽  
Author(s):  
Umesh Kapur ◽  
Tara Rubinas ◽  
Ritu Ghai ◽  
James Sinacore ◽  
Katherine Yao ◽  
...  

Author(s):  
Shin-Cheh Chen ◽  
Miin-Fu Chen ◽  
Tsann-Long Hwang ◽  
Tzu-Chieh Chao ◽  
Yung-Feng Lo ◽  
...  

2016 ◽  
Vol 36 (2) ◽  
pp. 194-200
Author(s):  
Hoda H. Abou Gabal ◽  
Riham M. Abu-Zeid ◽  
Maissa N. El-Maraghy

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