Long-term Survival Comparison of Repeated Breast-conserving Surgery Versus Mastectomy for Patients with DCIS with Ipsilateral Breast Tumor Recurrence: A Real-world Longitudinal Study

Li, Qing; Wang, Kang; Ling, Yang; Wu, Qianxue; Zhu, Wenming; Li, Zhuyue; Shi, Yang; Zhang, Xiang; Li, Hongyuan

doi:10.1016/j.clbc.2021.02.012

Cited by 4 publications

(2 citation statements)

References 39 publications

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“…Reproducing obesity-related levels of apelin is sufficient to promote BC growth and metastatization 19 . Besides promoting BC, recent data showed that obesity affects response to neoadjuvant or adjuvant chemotherapy for BC patients 20 – 22 . As tumor apelin expression or its receptor APJ have been associated with poor survival in humans 23 – 26 , we hypothesized that the apelinergic system could also be implicated in the adverse relation between obesity and pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in BC patients.…”

Section: Introductionmentioning

confidence: 99%

Tumor apelin and obesity are associated with reduced neoadjuvant chemotherapy response in a cohort of breast cancer patients

Gourgue

Derouane

Marcke

et al. 2021

Sci Rep

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Obesity is a known factor increasing the risk of developing breast cancer and reducing disease free survival. In addition to these well-documented effects, recent studies have shown that obesity is also affecting response to chemotherapy. Among the multiple dysregulations associated with obesity, increased level of the apelin adipokine has been recently shown to be directly involved in the association between obesity and increased breast cancer progression. In this study, we analyzed in a retrospective cohort of 62 breast cancer patients the impact of obesity and tumoral apelin expression on response to neoadjuvant chemotherapy. In the multivariate logistic regression, obesity and high tumoral apelin expression were associated with a reduced response to NAC in our cohort. However, obesity and high tumoral apelin expression were not correlated, suggesting that those two parameters could be independently associated with reduced NAC response. These findings should be confirmed in independent cohorts.

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Section: Introductionmentioning

confidence: 99%

Tumor apelin and obesity are associated with reduced neoadjuvant chemotherapy response in a cohort of breast cancer patients

Gourgue

Derouane

Marcke

et al. 2021

Sci Rep

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“…A converge and a predictor of chemotherapy response is histologic level (Haka, 2005). It is been linked to the likelihood of recurrence and mortality from IDC, as well as illness time and prolonged life following mastectomy (Li et al, 2021). Several studies have found whether patients with such a high‐IDC grade treated with a mastectomy had a significantly higher prevalence of lymph auxiliary nodes and a higher mortality risk than patients with a lower IDC grade (Vohra et al, 2021; Yousaf et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Breast microscopic cancer segmentation and classification using unique 4‐qubit‐quantum model

Amin

Sharif

Fernandes

et al. 2022

Microscopy Res & Technique

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The visual inspection of histopathological samples is the benchmark for detecting breast cancer, but a strenuous and complicated process takes a long time of the pathologist practice. Deep learning models have shown excellent outcomes in clinical diagnosis and image processing and advances in various fields, including drug development, frequency simulation, and optimization techniques. However, the resemblance of histopathologic images of breast cancer and the inclusion of stable and infected tissues in different areas make detecting and classifying tumors on entire slide images more difficult. In breast cancer, a correct diagnosis is needed for complete care in a limited amount of time. An effective detection can relieve the pathologist's workload and mitigate diagnostic subjectivity. Therefore, this research work investigates improved the pre‐trained xception and deeplabv3+ design semantic model. The model has been trained on input images with ground masks on the tuned parameters that significantly improve the segmentation of ultrasound breast images into respective classes, that is, benign/malignant. The segmentation model delivered an accuracy of greater than 99% to prove the model's effectiveness. The segmented images and histopathological breast images are transferred to the 4‐qubit‐quantum circuit with six‐layered architecture to detect breast malignancy. The proposed framework achieved remarkable performance as contrasted to currently published methodologies. Highlights This research proposed hybrid semantic model using pre‐trained xception and deeplabv3 for breast microscopic cancer classification in to benign and malignant classes at accuracy of 95% accuracy, 99% accuracy for detection of breast malignancy.

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A Systematic Review and Meta-Analysis on the Role of Repeat Breast-Conserving Surgery for the Management of Ipsilateral Breast Cancer Recurrence

et al. 2022

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Long-term Survival Comparison of Repeated Breast-conserving Surgery Versus Mastectomy for Patients with DCIS with Ipsilateral Breast Tumor Recurrence: A Real-world Longitudinal Study

Cited by 4 publications

References 39 publications

Tumor apelin and obesity are associated with reduced neoadjuvant chemotherapy response in a cohort of breast cancer patients

Tumor apelin and obesity are associated with reduced neoadjuvant chemotherapy response in a cohort of breast cancer patients

Breast microscopic cancer segmentation and classification using unique 4‐qubit‐quantum model

A Systematic Review and Meta-Analysis on the Role of Repeat Breast-Conserving Surgery for the Management of Ipsilateral Breast Cancer Recurrence

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