Multimodal data integration in early-stage breast cancer by Arnau Llinas-Bertran, Maria Butjosa-Espín, Vittoria Barberi, Jose A. Seoane

“…The use of biomarkers in breast cancer has significantly improved patient outcomes through targeted therapies, such as hormone therapy anti-Her2 therapy and CDK4/6 or PARP inhibitors. …”
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Suitable breast cancer screening strategy for Chinese women by CAO Xi, LUO Yongchao, SHEN Songjie

Subjects: “…|breast cancer|screening|chinese woman…”
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Efficacy of ultrasonography and mammography in detecting features of breast cancer by Sultan Abdulwadoud Alshoabi, Amal A. Alareqi, Moawia Gameraddin, Awadia Gareeballah, Kamal D. Alsultan, Amel F. Alzain

Subjects: “…breast cancer…”
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The interaction of Adipose Derived Stem Cells and Breast Cancer by Natasha Cunningham, Ava O'Meara, Cathy L. Brougham

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Anticancer effect of curcumin on breast cancer and stem cells by Hui-Tien Liu, Yuan-Soon Ho

“…Keywords: Curcumin, Breast cancer, Breast cancer stem cell…”
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Genetic Polymorphism and Expression of CXCR4 in Breast Cancer by Marina Okuyama Kishima, Karen Brajão de Oliveira, Carolina Batista Ariza, Carlos Eduardo Coral de Oliveira, Roberta Losi Guembarovski, Bruna Karina Banin Hirata, Felipe Campos de Almeida, Glauco Akelinghton Freire Vitiello, Kleber Paiva Trugilo, Alda Fiorina Maria Losi Guembarovski, Walter Jorge Sobrinho, Clodoaldo Zago Campos, Maria Angelica Ehara Watanabe

“…The present study aimed to investigate the influence of CXCR4 rs2228014 polymorphism on its mRNA and protein expression in breast cancer samples. It was observed that patients presented higher CXCR4 mRNA relative expression (5.7-fold) than normal mammary gland, but this expression was not correlated with patients clinicopathological features (nuclear grade, nodal status, ER status, PR status, p53 staining, Ki67 index, and HER-2 status). …”
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Predicting breast cancer recurrence using deep learning by Deepa Kumari, Mutyala Venkata Sai Subhash Naidu, Subhrakanta Panda, Jabez Christopher

Subjects: “…Breast cancer recurrence…”
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Nanoparticles Modulating the Immune Microenvironment in Breast Cancer Treatment by Guo LJ, Wu J, Lu W, Li J, Wang Y, Yang H, Wang TZ

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Natural products as part of triple negative breast cancer by Yozlem Kobakova, Maria Moneva-Sakelarieva, Spiro Konstantinov, Georgi Momekov, Stefka Achkova Ivanova, Ventseslava Atanasova, Maria Chaneva, Radoslav Tododrov, Nikolay Bashev, Petar Atanasov

“…Triple negative breast cancer (TNBC) continues to be the breast cancer subtype with the highest recurrence and mortality rates. …”
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Risk Factors of Lymph Edema in Breast Cancer Patients by Haghighat Shahpar, Akbari Atieh, Ansari Maryam, Homaei Shandiz Fatemeh, Najafi Massoome, Ebrahimi Mandana, Yunesian Masud, Mirzaei Hamid Reza, Akbari Mohammad Esmaeil

“…International Journal of Breast Cancer…”
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Electrocardiographic Characteristics of Breast Cancer Patients Treated with Chemotherapy by Xufei Liang, Yueying Wang, Xi Yin, Xiaohong Gong, Shuo Pan, Ziliang Chen, Xuhong Geng

“…Patients receiving chemotherapy for breast cancer may be at risk of developing cardiac dysfunction and electrophysiological abnormalities. …”
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Modulating Factors of Resilience in Patients Diagnosed with Breast Cancer by Lizandra García Monzón, Víctor René Navarro Machado

“…It included all patients diagnosed with breast cancer, with one, three and five years of survival. …”
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Clinical Impact of Sphingosine-1-Phosphate in Breast Cancer by Junko Tsuchida, Masayuki Nagahashi, Kazuaki Takabe, Toshifumi Wakai

“…Breast cancer metastasizes to lymph nodes or other organs, which determine the prognosis of patients. …”
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Investigation of survival and prognostic factors in triple negative molecular subtype male breast cancer patients: A population-based study by Ahmet Necati Sanli, Bilal Turan

Subjects: “…breast cancer…”
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Early-Stage Luminal B-like Breast Cancer Exhibits a More Immunosuppressive Tumor Microenvironment than Luminal A-like Breast Cancer by Tânia Moura, Olga Caramelo, Isabel Silva, Sandra Silva, Manuela Gonçalo, Maria Antónia Portilha, João N. Moreira, Ana M. Gil, Paula Laranjeira, Artur Paiva

Subjects: “…breast cancer…”
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Long-term trends in the incidence of male breast cancer and nomogram for predicting survival in male breast cancer patients: a population-based epidemiologic study by Aimin Huang, Daning Li, Zhe Fan, Jingfang Chen, Weidong Zhang, Wentao Wu

Subjects: “…Male breast cancer…”
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Molecular docking of phytosterols in Stenochlaena palustris as anti-breast cancer by Dona Marisa, Lisda Hayatie, Siti Juliati, Eko Suhartono, Noer Komari

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Prioritizing breast cancer surgeries: insights from the KRONOS SCORE by Lucía Navarro, Lucía Navarro, Lucía Navarro, Luis Perez-Bartivas, Luis Perez-Bartivas, Luis Perez-Bartivas, David Ponferrada, David Ponferrada, David Ponferrada, Javier Cejas, Javier Cejas, Javier Cejas, Juan Adrián Camús, Juan Adrián Camús, Juan Adrián Camús, Natalia Rangel, Natalia Rangel, Natalia Rangel, Maria Porras, Cristina Morales Estevez, Cristina Morales Estevez, Cristina Morales Estevez, Amalia Palacios Eito, Amalia Palacios Eito, Amalia Palacios Eito, Pilar Rioja, Pilar Rioja, Pilar Rioja, Marina Alvarez, Marina Alvarez, Marina Alvarez, Enrique Aranda, Enrique Aranda, Enrique Aranda, Juan De La Haba-Rodríguez, Juan De La Haba-Rodríguez, Juan De La Haba-Rodríguez

Subjects: “…breast cancer…”
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Appropriate Contrast Enhancement Measures for Brain and Breast Cancer Images by Suneet Gupta, Rabins Porwal

“…This paper suggests the most appropriate measures for two of the medical images, namely, brain cancer images and breast cancer images.…”
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Risk prediction models for breast cancer: a systematic review by Jiang Li, He Li, Jie He, Ni Li, Yadi Zheng, Zheng Wu, Maomao Cao

“…Objectives To systematically review and critically appraise published studies of risk prediction models for breast cancer in the general population without breast cancer, and provide evidence for future research in the field.Design Systematic review using the Prediction model study Risk Of Bias Assessment Tool (PROBAST) framework.Data sources PubMed, the Cochrane Library and Embase were searched from inception to 16 December 2021.Eligibility criteria We included studies reporting multivariable models to estimate the individualised risk of developing female breast cancer among different ethnic groups. …”
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