Article
Health Care Sciences & Services
Rassanee Bissanum, Sitthichok Chaichulee, Rawikant Kamolphiwong, Raphatphorn Navakanitworakul, Kanyanatt Kanokwiroon
Summary: TNBC lacks well-defined molecular targets and is highly heterogeneous, making treatment challenging. This study attempted to define gene signatures for each TNBC subtype and develop a classification method using machine learning. SVM algorithm achieved the highest accuracy in classifying TNBC into four subtypes, but some samples could not be classified.
JOURNAL OF PERSONALIZED MEDICINE
(2021)
Article
Oncology
Anastasia Constantinidou, Yiola Marcou, Michael S. Toss, Timothy Simmons, Ryan Bernhisel, Elisha Hughes, Braden Probst, Stephanie Meek, Eleni Kakouri, Georgios Georgiou, Ioanna Zouvani, Gabriella Savvidou, Vanessa Kuhl, Jennifer Doedt, Susanne Wagner, Alexander Gutin, Thomas P. Slavin, Jerry S. Lanchbury, Ralf Kronenwett, Ian O. Ellas, Emad A. Rakha
Summary: This study evaluated the performance of EndoPredict in premenopausal women with breast cancer, and found that the EP molecular score and EPclin score are associated with distant recurrence-free survival in breast cancer patients.
CLINICAL CANCER RESEARCH
(2022)
Article
Oncology
Emilio Ugalde-Morales, Felix Grassmann, Keith Humphreys, Jingmei Li, Mikael Eriksson, Nicholas P. Tobin, Ake Borg, Johan Vallon-Christersson, Per Hall, Kamila Czene
Summary: The study revealed an inverse association between higher TC and more aggressive tumor characteristics, potentially influenced by gene expression.
INTERNATIONAL JOURNAL OF CANCER
(2021)
Review
Oncology
Marina K. Ibragimova, Matvey M. Tsyganov, Nikolai V. Litviakov
Summary: Breast cancer is a genetically heterogeneous disease with different molecular biological and clinical characteristics, impacting drug treatment and prognosis. Understanding the genetic phenotype of breast cancer allows for personalized treatment and prognostic prediction.
Article
Biochemistry & Molecular Biology
Lavinia-Lorena Pruteanu, Cornelia Braicu, Dezso Modos, Maria-Ancuta Jurj, Lajos-Zsolt Raduly, Oana Zanoaga, Lorand Magdo, Roxana Cojocneanu, Sergiu Pasca, Cristian Moldovan, Alin Iulian Moldovan, Adrian Bogdan Tigu, Eugen Gurzau, Lorentz Jantschi, Andreas Bender, Ioana Berindan-Neagoe
Summary: This study evaluated the effect of arsenate on triple negative breast cancer (TNBC) cells and found that arsenate induced cytoskeletal alteration, autophagy, and apoptosis. TNBC cells showed a more prominent response to arsenate compared to other cell lines.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Multidisciplinary Sciences
Soo Youn Cho, Jeong Hoon Lee, Jai Min Ryu, Jeong Eon Lee, Eun Yoon Cho, Chang Ho Ahn, Kyunghyun Paeng, Inwan Yoo, Chan-Young Ock, Sang Yong Song
Summary: A deep-learning algorithm utilizing HE images can predict the benefits of adjuvant chemotherapy in cancer patients and assess the risk of cancer recurrence. The predictive analysis highlights the importance of genes related to cell cycle, nuclear division, and cell division in assessing cancer recurrence risk.
SCIENTIFIC REPORTS
(2021)
Article
Medicine, General & Internal
Yaqin Shi, Meng Shen, Mengdan Xu, Min Tao, Kai Chen, Qingqing Zhu
Summary: This study found that RAD51 and XRCC3 may be potential targets for precision therapy in breast cancer, while the RAD51B/RAD51C/RAD51D/XRCC2 genes have significant values for breast cancer prognosis.
INTERNATIONAL JOURNAL OF GENERAL MEDICINE
(2022)
Article
Genetics & Heredity
Saeideh Jafarinejad-Farsangi, Maryam Moazzam-Jazi, Zari Naderi Ghale-noie, Nahid Askari, Zahra Miri Karam, Samaneh Mollazadeh, Morteza Hadizadeh
Summary: This study combines multiple microarray studies to identify genes and pathways specific to each subtype of breast cancer. Through the analysis of differentially expressed genes (DEGs), critical genes and pathways associated with BC subtypes were identified. The results were validated using an independent breast cancer RNA-sequencing dataset, showing high concordance in specific genes related to certain subtypes.
Article
Biochemistry & Molecular Biology
Yao-Shun Yang, Xi-Zheng Jia, Qian-Yun Lu, Sun-Li Cai, Xue-Ting Huang, Shu-Hua Yang, Chris Wood, Yue-Hong Wang, Jiao-Jiao Zhou, Yi-Ding Chen, Jin-Shu Yang, Wei-Jun Yang
Summary: This study identified and isolated chemoradiotherapy-resistant CSCs in quiescent state with high capacity of tumor-initiation and tumorsphere formation from three types of breast tumors in mice. Experiments revealed DEK as essential for CSC activation, and exogenous DEK was used to trigger quiescence exit of CSCs. The study provides insights into the mechanism of quiescent CSC activation and may offer new clinical opportunities for removal of quiescence-linked therapy resistance.
Article
Biotechnology & Applied Microbiology
Gang Chen, Mingwei Yu, Jianqiao Cao, Huishan Zhao, Yuanping Dai, Yizi Cong, Guangdong Qiao
Summary: This study identified 11 key genes as potential prognosis biomarkers for breast cancer through bioinformatics analysis, which are mainly related to cell cycle and cell proliferation, significantly influencing the prognosis of breast cancer patients.
Article
Oncology
Zheng Fang, Hong-yu Shen, Qi Xu, Hong-lei Zhou, Lei Li, Si-Yuan Yang, Zhen Zhu, Jin-hai Tang
Summary: Breast cancer patients with high expression of PUS1 have poor prognosis and shorter survival time. Knockdown of PUS1 suppresses the proliferation, colony formation, and invasion abilities of breast cancer cells. PUS1 may serve as a promising biomarker and treatment target for breast cancer.
FRONTIERS IN ONCOLOGY
(2022)
Article
Oncology
Annelie Johansson, Nancy Y. Yu, Adina Iftimi, Nicholas P. Tobin, Laura 't Veer, Bo Nordenskjold, Christopher C. Benz, Tommy Fornander, Gizeh Perez-Tenorio, Olle Stal, Laura J. Esserman, Christina Yau, Linda S. Lindstrom
Summary: ER-positive ultralow risk breast cancers have distinct clinical and molecular characteristics compared to other ER-positive tumors, including smaller tumor size, lower grade, positive expression of progesterone receptor, negative expression of HER2, and low Ki-67 levels. The gene expression patterns in ultralow risk tumors also differ, with lower expression of genes involved in immune response and proliferation, and higher expression of genes associated with PIK3CA mutation.
INTERNATIONAL JOURNAL OF CANCER
(2022)
Article
Oncology
Junhao Liu, Zexuan Liu, Yangying Zhou, Manting Zeng, Sanshui Pan, Huan Liu, Qiong Liu, Hong Zhu
Summary: Transcription factors (TFs) play a crucial role in cancer progression, with their influence on breast cancer still unknown. This study utilized comprehensive bioinformatics analysis to identify nine co-expression modules related to TFs and construct a risk model using four TFs to predict progression free interval (PFI) in breast cancer patients. The findings suggest that the TF-related signature can independently predict patient prognosis and provide insights into the potential biological mechanisms of TFs in breast cancer.
FRONTIERS IN ONCOLOGY
(2021)
Article
Biochemical Research Methods
Shuhui Liu, Yupei Zhang, Xuequn Shang
Summary: Breast cancer is a heterogeneous disease caused by various alterations in the genome or transcriptome, and identifying useful biomarkers is crucial for understanding the underlying biological mechanisms and guiding clinical decisions. In this study, we propose GLassonet, a feature selection method that uses a neural network and graph enhancement to identify discriminative biomarkers from transcriptome-wide expression profiles. Experimental results show that GLassonet effectively selects discriminative genes and improves cancer subtype classification performance, providing potential biomarkers for personalized therapy.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
(2023)
Article
Oncology
Paulina Karin Grillo, Balazs Gyorffy, Martin Goette
Summary: High GPC3 levels are associated with a better prognosis in overall breast cancer patients. Stratified by hormone receptor status, low GPC1 levels correlate with longer relapse-free survival in worse prognosis subtypes, while low GPC6 is associated with longer survival in more favorable subtypes.
JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY
(2021)