Correlation between Grading Histopathology and Sentinel Lymph Node Metastasis in Early Breast Cancer in University of Sumatera Utara Hospital

Hermansyah, Dedy; Pricilia, Gracia; Azrah, Arjumardi; Rahayu, Yolanda; Paramita, Desiree Anggia; Siregar, Edwin Saleh

doi:10.3889/oamjms.2021.6423

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…The study revealed a significant relationship between the grade variable and the occurrence of metastasis to lymph nodes in breast cancer, as determined by the chi-square test results. In the present study, the variable "grade" is identified as one of the ten factors influencing breast cancer metastasis to lymph nodes (33). In their study, Li et Consequently, it is probable to consider that the factors that impact the survival of breast cancer patients may also influence the occurrence of lymph node metastasis in these individuals (37).…”

Section: Discussionmentioning

confidence: 91%

Predicting Factors Affecting Lymph Node Involvement in Breast Cancer Using Random Forest Approaches

Zamaninasab,

Fendereski,

Zamaninasab

et al. 2024

Int J Cancer Manag

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Objectives: The objective of this study was to utilize random forest methodology to develop a practical diagnostic function for predicting lymph node metastasis in patients diagnosed with breast cancer. Methods: The research data of this retrospective cohort study was obtained through a comprehensive analysis of telephone interviews and medical records of 241 patients with breast cancer referred to the hospitals affiliated with Mazandaran University of Medical Sciences between 2016 and 2022. The data analysis method used in this study was random forest analysis to identify the influential factors associated with lymph node metastasis using R software. Results: The mean age of diagnosis for patients was 52.03 ± 10.932. Based on the random forest analysis outcomes, an accuracy rate of 72.2% has been attained. The influential factors in our study included grade, tubule formation, skin involvement, p53 marker, margin involvement, nuclear pleomorphism, Ki67, tumor location, estrogen receptor (ER), and (progesterone receptor) PR markers. These factors were determined to have a significant impact based on the mean accuracy reduction index. Furthermore, the variables that demonstrated significance based on the mean Gini reduction index included age, grade, tubule formation, tumor size, nuclear pleomorphism, disease level, mitosis, skin involvement, tumor location, and margin involvement. Conclusions: The utilization of the random forest algorithm, which demonstrates a favorable level of discriminative capability, may serve as a suitable approach for predicting metastasis in patients with breast cancer. Furthermore, by identifying these factors, experts can employ effective strategies to mitigate the condition.

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Section: Discussionmentioning

confidence: 91%

Predicting Factors Affecting Lymph Node Involvement in Breast Cancer Using Random Forest Approaches

Zamaninasab,

Fendereski,

Zamaninasab

et al. 2024

Int J Cancer Manag

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“…Considering the modified Bloom—Richardson grading system or Nottingham grading system, our study showed that majority of tumor including 110 (91.7%) patients were IDC, NOS, 65 (54.2%) were grade 2 and 44 (36.7%) were intermediate size (2–5 cm), which is consistent with the result of Cherry Bansal found in Indian papulation in which 56.2% of the tumor were intermediate in size (2–5 cm) and 64% were IDC, NOS grade 2 [ 30 ]. There is a relation between grade of tumor and metastasis to axillary lymph nodes, high-grade tumors have more sentential lymph node metastasis [ 31 , 32 ]. Multiple clinicopathologic factors affect prognosis and therefore the outcome of management in patients with BC, including histological type, grade, stage, status of ER, PR and Her2/neu, BRCA 1 status [ 33 , 34 ].…”

Section: Discussionmentioning

confidence: 99%

Association of hormone receptors and human epidermal growth factor receptor-2/neu expressions with clinicopathologic factors of breast carcinoma: a cross-sectional study in a tertiary care hospital, Kabul, Afghanistan

Esmat,

Haidary,

Saadaat

et al. 2024

BMC Cancer

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Background Breast cancer (BC) is one of the major causes of death worldwide. It is the most common cause of death before the age of 70 years. The incidence and mortality of BC are rapidly increasing, posing great challenges to the health system and economy of every nation. Methodology A cross-sectional analytical study was conducted at the Department of Pathology and Clinical Laboratory of the French Medical Institute for Mothers and Children (FMIC) to demonstrate the association of human epidermal growth factor receptor 2 (Her2/Neu) and estrogen receptor (ER)/ progesterone receptor (PR) with clinical as well as pathological parameters among women with BC. A consecutive nonprobability sampling method was used for this study over a span of one and a half years. Results One hundred twenty participants diagnosed with breast cancer were included in the study. The mean age at diagnosis was 44.58 ± 11.16 years. Out of the total patients, 68 (56.7%) were above 40 years old, 108 (90%) were married, 94 (78.3%) were multiparous, and 88 (73.3%) had a history of breastfeeding. 33.3% of cases were within the age range of menopause (40–50 years). The positive expression rates of ER, PR, and Her2/neu were found to be 48.8%, 44.6%, and 44.6%, respectively, and Her2/neu overexpression was found to be higher among ER/PR-negative cases. Conclusion In our study, we demonstrated that among Afghan women, grade II invasive ductal carcinoma, not otherwise specified, was the most common type of BC and frequently affected women above the age of 40. We also revealed that the percentage of negative ER (50.4%), negative PR (54.4%), and concordant ER/PR-negative cases were high compared to other possibilities. Additionally, the study revealed that expression of Her2/neu was in contrast with the expression of ER and PR receptors. The findings of our study still support the importance of performing immunohistochemical stains for hormonal receptor classification in terms of better clinical outcomes and prognosis.

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Is routine axillary staging still required in clinically node negative early breast cancer in women over 74 years?

Grant,

Po,

Tiong

2024

ANZ Journal of Surgery

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BackgroundInvestigate incidence and identify predictors of axillary lymph node metastases in early breast cancer in women >74 years Australia and New Zealand to inform decision making about sentinel lymph node (SLN) biopsy in this population.MethodsRetrospective review of invasive breast cancer in women in Australia and New Zealand between 2010 and 2022 using BreastSurgANZ Quality Audit Database. Data included patient demographics, tumour characteristics, surgery type, axillary nodal status and adjuvant therapy. Descriptive analysis of incidence of axillary nodal metastases and use of adjuvant therapy in various patient and tumour groups was performed, followed by statistical analysis using multivariate logistic regression to identify predictors of axillary nodal positivity and correlation between nodal status and prescription of adjuvant therapy.ResultsReview of 127 436 cases of invasive breast cancer, 17 599 cases >74 years. Two thirds of the overall population and in those >74 years were node negative. In patients >74 years with grade 1–2, T1a‐b cancers, ER+/HER2− 94% were node negative. Patient age, tumour size, grade and biomarker profile correlated with axillary nodal status and analysis of adjuvant therapy revealed significant correlation between nodal stage and adjuvant radiotherapy, chemotherapy and endocrine therapy.ConclusionA total of 94% of patients >74 years with T1a/b, ER positive HER2 negative breast cancer were node negative. Nodal status significantly influences adjuvant treatment in this patient group and therefore, we recommend clinicians consider tumour factors and patient fitness in their decision making about SLN biopsy in the elderly population with hormone receptor positive early breast cancer.

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Correlation between Grading Histopathology and Sentinel Lymph Node Metastasis in Early Breast Cancer in University of Sumatera Utara Hospital

Cited by 3 publications

References 13 publications

Predicting Factors Affecting Lymph Node Involvement in Breast Cancer Using Random Forest Approaches

Predicting Factors Affecting Lymph Node Involvement in Breast Cancer Using Random Forest Approaches

Association of hormone receptors and human epidermal growth factor receptor-2/neu expressions with clinicopathologic factors of breast carcinoma: a cross-sectional study in a tertiary care hospital, Kabul, Afghanistan

Is routine axillary staging still required in clinically node negative early breast cancer in women over 74 years?

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