scholarly journals The survival rate of Iranian breast cancer patients with focus on prognostic factors

2021 ◽  
Vol 7 (1) ◽  
pp. e13-e13
Author(s):  
Abdolhasan Talaiezadeh ◽  
Saghar Babadi ◽  
Pedram Nazari
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors ◽  
Lymph Node ◽  
Survival Rate ◽  
Clinical Characteristics ◽  
Lymph Node Involvement ◽  
Tumor Type ◽  
Historical Cohort ◽  
The Status ◽  
Node Involvement

Introduction: Breast cancer is the most prevalent cancer in women. Several studies showed that TNM stage, grade cancer, lymph node involvement, and the status of hormone receptors are the most important factor of breast cancer prognosis. Objectives: To evaluate the clinical characteristics, prognostic factors, and survival rate in patients with breast cancer who underwent surgery in Ahvaz, Southwest of Iran. Patients and Methods: This historical cohort study was conducted on 561 patients who underwent surgery for breast cancer between May 1997 and June 2016. Clinical characteristics, pathological profile, stage, and treatments of the patients were recorded. The prognostic factor, two and five-year overall survival (OS) rates, disease-free survival (DFS) were evaluated by the Cox proportional hazards model and the Kaplan-Meier test, respectively. Results: The two and five-year OS rates were 92.1% and 81.7%, respectively. The most important prognostic factors in breast cancer survival were age, the size of the tumor, regional lymph node involvement, metastasis, stage, relapse, estrogen receptor (ER), progesterone receptor (PR), and hormone therapy. There was no significant relationship between tumor type, tumor site, metastasis, surgery kind, chemotherapy, radiation therapy, and the status of human epidermal growth factor receptor 2 (HER2) and the five-year survival rate. Conclusion: This study showed that the most important factors affecting the high survival rate of patients with breast cancer are hormonal receptors, non-involvement of the lymph nodes, early-stage cancer, no recurrence, and no metastasis.

An Analysis of 800 Breast Cancer Patients Relapsed after Radical Mastectomy

1976 ◽  
Vol 62 (1) ◽  
pp. 99-112 ◽  
Author(s):  
Sergio Di Pietro ◽  
Lucio Bertario ◽  
Giulio Cantù ◽  
Alberto Re
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Survival Rate ◽  
Soft Tissues ◽  
Regional Lymph Node ◽  
Radical Mastectomy ◽  
Lymph Node Involvement ◽  
Free Interval ◽  
Node Involvement ◽  
Visceral Metastases

The chronology of first recurrences, their topographic distribution and survival from mastectomy were retrospectively studied in a series of 800 mastectomized women with special reference to the relationship between these data and treatment delay, T N categories and free interval. Visceral metastases were more frequent in patients under 50 years, whereas local recurrences were more common in patients over 50. The average free interval was 26 months (over 5 years in 18% of cases) and seemed to be influenced little by the treament delay or by tumor size; it was shorter in patients under 50 years and shorter still in patients with lymph node involvement at operation. A similar correlation exists between these parameters and survival. The 5 year survival rate of the 800 cases with recurrence was 52%, which is quite different from the rate generally indicated for surgical cases, and much higher than the rate for the natural history of untreated breast cancer. The survival rate in cases with first metastases confined to the soft tissues is much higher than in those with bone and/or with visceral metastases. The survival after recurrence proves to be significantly influenced by the length of the free interval, but much more by the presence or absence of regional lymph node involvement, so that the lymph nodes status (N–- or N+) turns out to be a prognostic item of primary importance, even after the onset of recurrence.

Molecular genetic prognostic factors for metastatic regional lymph node involvement in breast cancer patients

2020 ◽  
Vol 3_2020 ◽  
pp. 141-147
Author(s):  
Dergunova Yu.A. Dergunova ◽  
Bozhenko V.K. Bozhenko ◽  
Podionov V.V. Podionov ◽  
Kometova V.V. Kometova ◽  
Makarova M.V. Makarova ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors ◽  
Lymph Node ◽  
Cancer Patients ◽  
Regional Lymph Node ◽  
Molecular Genetic ◽  
Lymph Node Involvement ◽  
Breast Cancer Patients ◽  
Regional Lymph Node Involvement ◽  
Node Involvement

658 Prognostic factors in breast cancer less than 3 cm without histologic lymph node involvement

1995 ◽  
Vol 31 ◽  
pp. S138
Author(s):  
J.M. Classe ◽  
F. Ouadghiri ◽  
G. Aillet ◽  
J.M. N’guyen ◽  
M. Mahe ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors ◽  
Lymph Node ◽  
Lymph Node Involvement ◽  
Node Involvement

A STUDY ON HORMONE RECEPTOR STATUS IN BREAST CANCER IN RELATION TO HISTOLOGICAL GRADING, AGE AND LYMPH NODE INVOLVEMENT

2021 ◽  
pp. 41-44
Author(s):  
R. Rani Suganya ◽  
M. Annapoorani ◽  
C. Naveen Kumar
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Hormone Receptor ◽  
Histological Grade ◽  
Systemic Disease ◽  
Lymph Node Involvement ◽  
Hormone Receptor Status ◽  
Major Health Problem ◽  
Receptor Status ◽  
Node Involvement

Breast cancer is the major health problem for the women throughout the world.Management of breast cancer has evolved to include both surgery for local disease and medical therapy for systemic disease. Multiple treatment options are available depending on various factors such as histological grade, hormone receptor status etc. The aim of this study is to correlate the hormone receptor status with prognostic factors such as lymph node involvement, tumour grading and age among patients diagnosed with breast cancer in our institution. The results of this study serve to prognosticate the severity of disease among various strata of patients.

scholarly journals Influence of Covariates on Involved Lymph Nodes in Primary Breast Cancer Patients: Mixture Distribution Zero-Inflated Modeling Methodological Framework

2020 ◽  
Author(s):  
Madiha Liaqat ◽  
Shahid Kamal ◽  
Florian Fischer ◽  
Nadeem Zia
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Lymph Nodes ◽  
Cancer Patients ◽  
Primary Breast Cancer ◽  
Negative Binomial ◽  
Lymph Node Involvement ◽  
Breast Cancer Patients ◽  
Node Involvement ◽  
Study Population

Abstract Background: Involvement of lymph nodes has been an integral part of breast cancer prognosis and survival. This study aimed to explore factors influencing on the number of auxiliary lymph nodes in women diagnosed with primary breast cancer by choosing an efficient model to assess excess of zeros and over-dispersion presented in the study population. Methods: The study is based on a retrospective analysis of hospital records among 5,196 female breast cancer patients in Pakistan. Zero-inflated Poisson and zero-inflated negative binomial modeling techniques are used to assess the association between under-study factors and the number of involved lymph nodes in breast cancer patients. Results: The most common breast cancer was invasive ductal carcinoma (54.5%). Patients median age was 48 years, from which women aged 46 years and above are the majority of the study population (64.8%). Examination of tumors revealed that over 2,662 (51.2%) women were ER-positive, 2,652 (51.0%) PR-positive, and 2,754 (53.0%) were Her2.neu-positive. The mean tumor size was 3.06 cm and histological grade 1 (n=2021, 38.9%) was most common in this sample. The model performance was best in the zero-inflated negative binomial model. Findings indicate that most factors related to breast cancer have a significant impact on the number of involved lymph nodes. Age is not contributed to lymph node status. Women having a larger tumor size suffered from greater number of involved lymph nodes. Tumor grades 11 and 111 contributed to higher numbers of positive lymph node.Conclusions: Zero-inflated models have successfully demonstrated the advantage of fitting count nodal data when both “at-harm” (lymph node involvement) and “not-at-harm” (no lymph node involvement) groups are important in predicting disease on set and disease progression. Our analysis showed that ZINB is the best model for predicting and describing the number of involved nodes in primary breast cancer, when overdispersion arises due to a large number of patients with no lymph node involvement. This is important for accurate prediction both for therapy and prognosis of breast cancer patients.

scholarly journals Real-World Data Related to Non-Metastatic Breast Cancer in Young Women: Experience of a Single Institution

2018 ◽  
Vol 64 (1) ◽  
pp. 45-53
Author(s):  
Juliana Cunha e Silva Ominelli De Souza ◽  
Andrew Sá Nunes ◽  
Jesse Lopes Da Silva ◽  
Aline Coelho Gonçalves ◽  
Suzanne Crocamo Ventilari Da Costa
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast Cancer ◽  
Lymph Node ◽  
Young Women ◽  
Advanced Disease ◽  
Young Patients ◽  
Metastatic Breast ◽  
Lymph Node Involvement ◽  
Axillary Lymph ◽  
Node Involvement

Introduction: Breast cancer is the leading cause of cancer-related deaths in women aged 20-59 years. Younger women usually have more aggressive tumors and more advanced disease with larger size and axillary lymph node involvement. There have been few studies assessing the characteristics of breast cancer in very young women. Objective: Evaluate the epidemiological and clinical profile of non-metastatic very young patients with breast cancer. Method: We performed a retrospective analysis to evaluate the epidemiological and clinical profile of non-metastatic breast cancer in patients ≤ 30 years of age treated between 1993 and 2011 at the Brazilian National Cancer Institute José Alencar Gomes da Silva. We evaluated relapse-free survival (RFS) and overall survival (OS). Results: Of the 196 patients evaluated, 181 (90%) had ductal carcinoma, 79 (40%) had high-grade tumors, and 102 (52%) had hormone receptor-positive tumors. 117 patients(60%) had stage III disease at diagnosis. The median age was 29 years (range, 17-30 years). Of 185 patients who underwent surgery, 156 (84.3%) underwent total mastectomy and 171 (92%) underwent axillary lymph node dissection. 119 patients received neoadjuvant chemotherapy, and 14 patients (9.3%) underwent neoadjuvant radiotherapy. After a median follow-up of 81.5 months, 109 patients (55%) had relapsed and 81 (41%) had died. The median RFS and OS were 49.5 months and 134 months, respectively. Lymph node involvement and neoadjuvant chemotherapy were associated with shorter RFS and OS. Conclusion: Breast cancer is uncommon in young patients, especially in those ≤ 30 years of age. We found a predominance of locally advanced disease and worse prognostic pathological characteristics. Despite the aggressive treatment, our patients had worse outcomes than those reported by other authors.

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