Bioinformatics Method Was Used to Analyze the Highly Expressed Gene FAM83A of Breast Cancer in Young Women by Yongzhe Tang, Hao Wang, Qi He, Yuanyuan Chen, Jie Wang

“…Preliminary analysis of breast cancer related to unknown functional gene FAM83A through bioinformatics knowledge to inform further experimental studies. …”
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Antitumor Effect of Demethylzeylasteral (T-96) on Triple-Negative Breast Cancer via LSD1-Mediate Epigenetic Mechanisms by Zhengjie Shen, Yongjuan Gu, Ruiyang Jiang, Heya Qian, Siyuan Li, Lixian Xu, Wenzhe Gu, Yun Zuo

“…Background and Purpose. Breast cancer ranks first in the incidence of female tumors. …”
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Association between Single Nucleotide Polymorphisms rs3757318 and Vitamin D Deficiency in Iraqi Breast Cancer Patients by Istikrar M. Hade, Ahmed S. K. Al-Khafaji, Fadhel M. Lafta, Yasir B. Qaddoori

Subjects: “…breast cancer…”
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Gene Expression of ERβ Isoforms in Laser Microdissected Human Breast Cancers: Implications for Gene Expression Analyses by Michele Cummings, James Iremonger, Caroline A. Green, Abeer M. Shaaban, Valerie Speirs

“…Background: Despite many published studies on ERβ, progress towards understanding its role in breast cancer remains slow. This is largely due to discordant data between mRNA and protein studies as well as failure to take into account the biologically distinct ERβ isoforms and their heterogeneous expression profile.…”
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Characterizing safety, toxicity, and breast cancer risk reduction using a long-term fulvestrant eluting implant by Scott Thomas, Elysia Roche, Pujan Desai, Nela Pawlowska, Diana Bauer, David Gingrich, Emily Hsu, Amelia N. Deitchman, Fran Aweeka, Pamela N. Munster

“…To this end, we demonstrate that when placed adjacent to mammary tissue in the 7,12-dimethylbenz[a]anthracene-induced rat breast cancer model a fulvestrant-eluting implant delays breast cancer with minimal systemic exposure. …”
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Precise HER2 Protein Degradation via Peptide‐Conjugated Photodynamic Therapy for Enhanced Breast Cancer Immunotherapy by Changyong Guo, Fei Gao, Guoyuan Wu, Jinqiu Li, Chunquan Sheng, Shipeng He, Honggang Hu

Subjects: “…breast cancer…”
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Rapamycin inhibits tamoxifen-induced endometrial proliferation in vitro as a pilot approach for endometrial protection in breast cancer by Akiko Nakamura, Yuji Tanaka, Tsukuru Amano, Akie Takebayashi, Akimasa Takahashi, Tetsuro Hanada, Yutaka Yoneoka, Shunichiro Tsuji, Takashi Murakami

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Crosstalk between Tumor-Infiltrating Immune Cells and Cancer-Associated Fibroblasts in Tumor Growth and Immunosuppression of Breast Cancer by Jarupa Soongsathitanon, Pranisa Jamjuntra, Nuttavut Sumransub, Supaporn Yangngam, Marjorie De la Fuente, Glauben Landskron, Peti Thuwajit, Marcela A. Hermoso, Chanitra Thuwajit

“…Chronic inflammation and the infiltration of immune cells in breast cancer (BC) have been strongly associated with early carcinogenic events and a switch to a more immunosuppressive response. …”
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Biological embodiment of educational attainment and future risk of breast cancer: findings from a French prospective cohort by Cyrille Delpierre, Raphaële Castagné, Eloïse Berger, Gianluca Severi, Marie-Christine Boutron-Ruault, Laura Baglietto, Laure Dossus, Amandine Gelot, Richard Dudouet

“…Background Women with higher educational attainment have a higher risk of developing breast cancer (BC). Despite the acknowledged impact of reproductive and lifestyle factors, some excess risks remain unexplained. …”
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An Investigation into Psychological Aspects of Patients Diagnosed with Breast Cancer: A Review Study of Postgraduate Theses Prepared in Turkey by Umut Çıvgın

Subjects: “…breast cancer…”
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Mechanistic insights into pachymic acid’s action on triple-negative breast Cancer through TOP2A targeting by Ming Liu, Li Zheng, Yang Zhang, Jinhui Tian

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Copy number amplification of FLAD1 promotes the progression of triple-negative breast cancer through lipid metabolism by Xiao-Qing Song, Tian-Jian Yu, Yang Ou-Yang, Jia-Han Ding, Yi-Zhou Jiang, Zhi-Ming Shao, Yi Xiao

“…Abstract Triple-negative breast cancer (TNBC) is known for frequent copy number alterations (CNAs) and metabolic reprogramming. …”
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Comprehensive Analysis of Breast Cancer Cell Lines: Genome-wide Insights from ChIP-seq Analysis by Tanishq Sahu, Ruchi Yadav

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Automatic image generation and stage prediction of breast cancer immunobiological through a proposed IHC-GAN model by Afaf Saad, Noha Ghatwary, Safa M. Gasser, Mohamed S. ElMahallawy

Subjects: “…Breast cancer…”
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Genetic variants of the XRCC3 DNA repair gene: risk implications in breast cancer among Iraqi patients by Zainab Sabah AL-Khalidi, Rand Muhammed Abdul-Hussein Al-Husseini

Subjects: “…breast cancer…”
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Assessment of Morphological Changes in Breast Cancer Cells Following X-Ray Radiation Utilizing Digital Holographic Microscopy by Zeinab Hormozi-Moghaddam, Seyedeh Mona Taheri, Reza Paydar, Ali Neshasteh-Riz, Vahideh Farzam Rad, Mohadeseh Shaghaghi

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Stable Isotope-Resolved Metabolomic Differences between Hormone-Responsive and Triple-Negative Breast Cancer Cell Lines by Jason H. Winnike, Delisha A. Stewart, Wimal W. Pathmasiri, Susan L. McRitchie, Susan J. Sumner

“…International Journal of Breast Cancer…”
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DNA Ligase IV Prevents Replication Fork Stalling and Promotes Cellular Proliferation in Triple Negative Breast Cancer by Rashmi R. Joshi, Sk Imran Ali, Amanda K. Ashley

“…Our investigations focused on triple negative breast cancer cells, as, compared to nonbasal breast cancer, LIG4 is frequently amplified, and an increased gene dose is associated with higher Lig4 expression. …”
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Breast Cancer Survivors’ Diet and Physical Activity Preferences and Barriers: How COVID-19 Changed the Intervention Landscape by Xin Chen, Chungyi Chiu, Helen Hoi Ting Cheung, Sylvia L Crowder, Xi Chen, Linda Trinh, Anna E Arthur

Subjects: “…breast cancer…”
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Analysis of cervical and breast cancer screening behavior and its influencing factors among urban and rural women in Beijing. by Yanqing Gao, Guoxin Liang, Chun Chang, Feng Pan, Fumin Huang, Litong Gong, Liyu Huang

“…<h4>Methods</h4>This study used a multi-stage stratified random sampling method to select 4, 000 women in urban and rural areas of Beijing to analyze their behavior, basic situation, and influencing factors regarding cervical and breast cancer screening.<h4>Results</h4>The sample size of the final included valid analysis was 3861 people, and the screening rate was 27.25% for cervical cancer, 20.64% for breast cancer, 30.46% for at least one screening and 17.43% for both cervical cancer and breast cancer screening. …”
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