scholarly journals Comparison of the Systemic Immune Inflammation Index with Prognostic Factors in Patients Operated for Breast Cancer

2021 ◽  
Vol Volume: 3 Issue: 2 (Volume: 3 Issue: 2) ◽  
pp. 102-105
Author(s):  
- Murat Can Mollaoglu - Kursat Karadayı
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors ◽  
Immune Inflammation

Effect of systemic immune-inflammation index on prognostic parameters and survival in patients with breast cancer under the age of 40 years

2021 ◽  
Vol 8 (1) ◽  
pp. 39-44
Author(s):  
Hacer Demir ◽  
İsmail Beypınar
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors ◽  
Roc Analysis ◽  
Treatment Plan ◽  
Clinical Stage ◽  
Logrank Test ◽  
Ki 67 ◽  
Significant Difference ◽  
Immune Inflammation ◽  
The Relationship

Objective: Systemic immune inflammation index, which is one of the systemic inflammatory markers obtained by using peripheral blood cells, neutrophils, lymphocyte and platelet counts, has been previously shown to be prognostic in many types of cancer, and it has been also shown in previous studies that SII was associated with prognosis in patients who received adjuvant and neoadjuvant therapy in breast cancer. In our study, the evaluation of the potential prognostic importance of SII in patients with breast cancer diagnosed before the age of 40 was aimed. Material and method: For the study, demographic, histopathological, clinical and file data of 129 patients who were diagnosed with breast cancer in the tertiary medical oncology outpatient clinic and were 40 years old and younger at the time of diagnosis were recorded retrospectively. SII was calculated according to the neutrophil count x platelet number/lymphocyte (NxP / L) formula, and those below the optimal cut-off value obtained by ROC analysis were classified as low SII, and those above it as High SII. The relationship between breast cancer clinicopathological variables and SII was evaluated by Chi-Square test. While the effect of SII on survival was evaluated by Kaplan Meiermethod, the Logrank test was used to evaluate survival in low and high groups. Results: For the study, 1400 patients diagnosed with breast cancer were reviewed and 129 patients who were under the age of 40 at the time of diagnosis were included. Patients who had insufficient follow-up or whose pre-treatment hemogram values could not be reached, who had medication use that could affect their hemogram parameters, and those with inflammatory diseases were not included. The median age in the study was 35, and the youngest patient was 21 years old. In the study group, based on the SII cut-off value of 720 calculated according to the roc analysis, 73 patients were in the low SII group and 56 patients were in the high SII group. When the relationship between prognostic factors of the patients and SII was examined, no statistically significant relationship was observed between age, hormone receptor status, Her-2 status, histological subtype, clinical stage, grade, Ki 67 status, lymph node involvement and SII. However, in the survival analysis, although the median value could not be reached between the two groups, there was a significant difference in overall survival with SII (p = 0.051) and it was observed that survival was worse in the high SII group, and the 3 and 5-year survival rates were worse in the high group compared to the low ones. Conclusion: In our study, we reached the conclusion that SII can be an independent prognostic factor for survival in patients with breast cancer diagnosed at 40 years of age or younger. Considering the SII status together with other prognostic factors in diagnosis, a more intensive treatment plan can be made for the patients. However, well-designed prospective studies including more patients are needed for the routine use of SII.

Prognostic Factors in Breast Cancer

1989 ◽  
Vol 3 (4) ◽  
pp. 641-652 ◽  
Author(s):  
Douglas E. Merkel ◽  
C. Kent Osborne
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors

Prognostic Factors in Breast Cancer

1997 ◽  
Author(s):  
Timothy J. O'Leary ◽  
Jeffrey D. Seidman
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors

scholarly journals Surgery for primary tumor benefits survival for breast cancer patients with bone metastases: a large cohort retrospective study

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zhangheng Huang ◽  
Xin Zhou ◽  
Yuexin Tong ◽  
Lujian Zhu ◽  
Ruhan Zhao ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors ◽  
Bone Metastases ◽  
Cancer Patients ◽  
Primary Tumor ◽  
Predictive Accuracy ◽  
Rank Test ◽  
Breast Cancer Patients ◽  
Risk Of Death ◽  
The Impact

Abstract Background The role of surgery for the primary tumor in breast cancer patients with bone metastases (BM) remains unclear. The purpose of this study was to determine the impact of surgery for the primary tumor in breast cancer patients with BM and to develop prognostic nomograms to predict the overall survival (OS) of breast cancer patients with BM. Methods A total of 3956 breast cancer patients with BM from the Surveillance, Epidemiology, and End Results database between 2010 and 2016 were included. Propensity score matching (PSM) was used to eliminate the bias between the surgery and non-surgery groups. The Kaplan-Meier analysis and the log-rank test were performed to compare the OS between two groups. Cox proportional risk regression models were used to identify independent prognostic factors. Two nomograms were constructed for predicting the OS of patients in the surgery and non-surgery groups, respectively. In addition, calibration curve, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) were used to evaluate the performance of nomograms. Result The survival analysis showed that the surgery of the primary tumor significantly improved the OS for breast cancer patients with BM. Based on independent prognostic factors, separate nomograms were constructed for the surgery and non-surgery groups. The calibration and ROC curves of these nomograms indicated that both two models have high predictive accuracy, with the area under the curve values ≥0.700 on both the training and validation cohorts. Moreover, DCA showed that nomograms have strong clinical utility. Based on the results of the X-tile analysis, all patients were classified in the low-risk-of-death subgroup had a better prognosis. Conclusion The surgery of the primary tumor may provide survival benefits for breast cancer patients with BM. Furthermore, these prognostic nomograms we constructed may be used as a tool to accurately assess the long-term prognosis of patients and help clinicians to develop individualized treatment strategies.

Increased FDG uptake in breast cancer is associated with prognostic factors

2012 ◽  
Vol 26 (4) ◽  
pp. 345-350 ◽  
Author(s):  
Yasemin Sanli ◽  
Serkan Kuyumcu ◽  
Zeynep Gozde Ozkan ◽  
Göknur Işık ◽  
Hasan Karanlik ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors ◽  
Fdg Uptake

Disparities in breast cancer prognostic factors by race, insurance status, and education

2010 ◽  
Vol 21 (9) ◽  
pp. 1445-1450 ◽  
Author(s):  
Carol DeSantis ◽  
Ahmedin Jemal ◽  
Elizabeth Ward
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors ◽  
Insurance Status
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