Article
Biochemistry & Molecular Biology
Gyongyi Munkacsy, Libero Santarpia, Balazs Gyorffy
Summary: For patients with early-stage hormone receptor-positive, HER2-negative breast cancer, adjuvant systemic therapy depends on clinical and pathological factors, as well as gene expression profiling tests to predict the risk of disease recurrence and estimate the potential benefit of chemotherapy. The value of tumor-infiltrating lymphocytes is also being recognized.
Review
Psychology, Multidisciplinary
Chengqi Shi, Fan Zhang, Peiyao Zhu, Qinlu Shi
Summary: This paper explores the formation, determinants, and measurement of knowledge power in innovation networks, highlighting the importance of activated knowledge at different levels and providing a comprehensive perspective and multiple research angles for future studies in this field.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Multidisciplinary Sciences
Xinsong Chen, Emmanouil G. Sifakis, Stephanie Robertson, Shi Yong Neo, Seong-Hwan Jun, Le Tong, Apple Tay Hui Min, John Lovrot, Roxanna Hellgren, Sara Margolin, Jonas Bergh, Theodoros Foukakis, Jens Lagergren, Andreas Lundqvist, Ran Ma, Johan Hartman
Summary: Breast cancer is a complex disease with multiple subtypes, and personalized therapy is needed due to patient-to-patient variability in drug response. This study establishes a whole-tumor cell culture (WTC) ex vivo model from breast tumors, which can accurately predict drug response and has potential for individualized therapy. The WTC model can also help stratify patients for clinical trials and validate biomarkers during drug development.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2023)
Article
Biochemistry & Molecular Biology
Judith Buentzel, Henry Gerd Klemp, Ralph Kraetzner, Matthias Schulz, Gry Helene Dihazi, Frank Streit, Annalen Bleckmann, Kerstin Menck, Darius Wlochowitz, Claudia Binder
Summary: The study found significant differences in the metabolome of microvesicles in the blood of breast cancer patients compared to controls, especially in the abundance of certain metabolites. Using targeted and untargeted mass spectrometry, specific metabolites were identified that distinguished between breast cancer and controls, as well as predicted overall survival in breast cancer patients. This suggests that these metabolites could serve as promising biomarkers and potentially play a role in tumor progression.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)
Article
Oncology
Abdel-Rahman N. Zekri, Abeer Bahnassy, Magda Mourad, Ibrahim Malash, Ola Ahmed, Mona S. Abdellateif
Summary: This study characterized breast cancer stem cells (BCSCs) through genetic profiling, revealing specific molecular profiles that differ according to their phenotypes. These profiles could potentially impact patients' prognosis and outcome.
CANCER CELL INTERNATIONAL
(2022)
Article
Multidisciplinary Sciences
Marian Kalocsay, Matthew J. Berberich, Robert A. Everley, Maulik K. Nariya, Mirra Chung, Benjamin Gaudio, Chiara Victor, Gary A. Bradshaw, Robyn J. Eisert, Marc Hafner, Peter K. Sorger, Caitlin E. Mills, Kartik Subramanian
Summary: Quantitative proteomics was performed on 60 human-derived breast cancer cell line models, resulting in the identification and characterization of subtypes of breast cancer. The datasets were found to conform to known transcriptional subtypes and are freely available for public use. These datasets can be used in combination with other measurements to predict drug response, provide context in signaling pathway models, and identify markers of sensitivity or resistance to therapeutics.
Article
Oncology
Argun Akcakanat, Xiaofeng Zheng, Christian X. Cruz Pico, Tae-Beom Kim, Ken Chen, Anil Korkut, Aysegul Sahin, Vijaykumar Holla, Emily Tarco, Gopal Singh, Senthil Damodaran, Gordon B. Mills, Ana Maria Gonzalez-Angulo, Funda Meric-Bernstam
Summary: Molecular profiling in metastatic breast cancer patients revealed common and less frequent but potentially actionable alterations, demonstrating intertumoral heterogeneity and potential evolution of actionable targets with tumor progression. Further optimization of testing and integrated analysis for treatment selection is needed.
CLINICAL CANCER RESEARCH
(2021)
Article
Pharmacology & Pharmacy
Pukar Khanal, Vishal S. Patil, Vishwambhar V. Bhandare, Priyanka P. Patil, B. M. Patil, Prarambh S. R. Dwivedi, Kunal Bhattacharya, Darasaguppe R. Harish, Subarna Roy
Summary: The aim of this study was to investigate the mechanism of action of diosgenin against breast cancer using system biology tools and experimental validation. Diosgenin-regulated domains associated with breast cancer were identified and diosgenin-protein-pathway associations were established. Molecular docking and dynamics simulations confirmed the binding affinity of diosgenin with key proteins, and functional assays validated its effects on cell proliferation, cytotoxicity, and the Warburg effect.
FRONTIERS IN PHARMACOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Alexander Binder, Michael Bockmayr, Miriam Hagele, Stephan Wienert, Daniel Heim, Katharina Hellweg, Masaru Ishii, Albrecht Stenzinger, Andreas Hocke, Carsten Denkert, Klaus-Robert Mueller, Frederick Klauschen
Summary: The study introduces an explainable machine-learning approach for integrated profiling of morphological, molecular, and clinical features from breast cancer histology. By detecting cancer cells, predicting molecular features, and assessing the link between morphological and molecular properties, the approach aims to promote basic cancer research and precision medicine.
NATURE MACHINE INTELLIGENCE
(2021)
Article
Multidisciplinary Sciences
Hao Huang, Jianyang Hu, Alishba Maryam, Qinghua Huang, Yuchen Zhang, Saravanan Ramakrishnan, Jingyu Li, Haiying Ma, Victor W. S. Ma, Wah Cheuk, Grace Y. K. So, Wei Wang, William C. S. Cho, Liang Zhang, Kui Ming Chan, Xin Wang, Y. Rebecca Chin
Summary: Triple-negative breast cancer (TNBC) is an aggressive subtype with poor prognosis. This study characterizes super-enhancer heterogeneity and identifies genes specifically regulated by TNBC-specific super-enhancers, including FOXC1, MET, and ANLN.
NATURE COMMUNICATIONS
(2021)
Article
Cell Biology
Irina Gromova, Jaime A. Espinoza, Morten Grauslund, Eric Santoni-Rugiu, Maj-Lis Moller Talman, Jan van Oostrum, Jose M. A. Moreira
Summary: Triple-negative breast cancer (TNBC) is a subtype of breast cancer characterized by the absence of estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 expression, often requiring conventional chemotherapy for treatment. Analysis of protein activation state revealed heterogenous pathway activation, with PI3 K/AKT/mTOR signaling being the most common event. Individualized therapeutic possibilities, such as targeting oncogenic KIT in association with specific protein markers, may have clinical value.
Article
Oncology
Patrick Lebok, Hannah Bonte, Martina Kluth, Christina Moller-Koop, Isabell Witzel, Linn Wolber, Peter Paluchowski, Christian Wilke, Uwe Heilenkotter, Volkmar Muller, Barbara Schmalfeldt, Ronald Simon, Guido Sauter, Luigi Terracciano, Rainer Horst Krech, Albert von der Assen, Eike Burandt
Summary: The study revealed that 6q15 deletion is a common event in breast cancer, statistically associated with unfavorable tumor phenotype and features of genomic instability, but unrelated to patient survival.
Article
Oncology
Sang Hee Ahn, EunSook Kim, Chankyu Kim, Wonjoong Cheon, Myeongsoo Kim, Se Byeong Lee, Young Kyung Lim, Haksoo Kim, Dongho Shin, Dae Yong Kim, Jong Hwi Jeong
Summary: In this study, a patient-specific dose prediction model using deep learning was developed for left-sided breast cancer patients and compared with conventional knowledge-based planning. Multiple quantitative evaluations, including 3D dose distribution, were used to compare the accuracy and efficiency of dose prediction, showing superior results for the deep learning model over RapidPlan.
RADIATION ONCOLOGY
(2021)
Article
Multidisciplinary Sciences
Shunhua Zhang, Hairuo Wang, Binhao Liu, Jianwei Yu, Yizheng Gao
Summary: This study examined the role of socioeconomic status (SES) in female breast cancer screening practices in Eastern China using a composite SES index. The results showed that SES significantly influenced breast cancer screening patronage, and the composite SES index was positively associated with screening practices. The study also found interactions between the SES index and patient characteristics, as well as a positive effect of SES on breast cancer-related knowledge. The findings highlight the negative impacts of socioeconomic inequities on female breast cancer screening utilization and suggest the need for targeted interventions and outreach activities to reduce inequalities.
Article
Biochemistry & Molecular Biology
Chitra Thakur, Nicholas J. Carruthers, Qian Zhang, Liping Xu, Yao Fu, Zhuoyue Bi, Yiran Qiu, Wenxuan Zhang, Priya Wadgaonkar, Bandar Almutairy, Chunna Guo, Paul M. Stemmer, Fei Chen
Summary: This study comprehensively analyzed the role of mdig in triple-negative breast cancer through proteomic analysis. The results revealed that mdig knockout significantly altered the expression of proteins and pathways associated with breast cancer, highlighting its importance in tumorigenicity and invasiveness.
Article
Biochemistry & Molecular Biology
Rebecca Kirk, Heike Laman, Phillip P. Knowles, Judith Murray-Rust, Mikhail Lomonosov, El Kahina Meziane, Neil Q. McDonald
JOURNAL OF BIOLOGICAL CHEMISTRY
(2008)
Editorial Material
Oncology
Lisa Hutchinson, Rebecca Kirk
NATURE REVIEWS CLINICAL ONCOLOGY
(2011)
Editorial Material
Oncology
Lisa Hutchinson, Rebecca Kirk
NATURE REVIEWS CLINICAL ONCOLOGY
(2011)
Editorial Material
Oncology
Rebecca Kirk, Lisa Hutchinson
NATURE REVIEWS CLINICAL ONCOLOGY
(2012)
Editorial Material
Oncology
Rebecca Kirk
NATURE REVIEWS CLINICAL ONCOLOGY
(2013)
Article
Biochemistry & Molecular Biology
Juliane Kley, Bastian Schmidt, Boril Boyanov, Peggy C. Stolt-Bergner, Rebecca Kirk, Michael Ehrmann, Ronit R. Knopf, Leah Naveh, Zach Adam, Tim Clausen
NATURE STRUCTURAL & MOLECULAR BIOLOGY
(2011)
Editorial Material
Biochemical Research Methods
Lauren Cadwallader, Jason A. Papin, Feilim Mac Gabhann, Rebecca Kirk
PLOS COMPUTATIONAL BIOLOGY
(2021)
Article
Information Science & Library Science
Rebecca Kirk, Susan J. J. Harris, Chhavi Chauhan
Summary: Awards serve as an important mechanism for recognition and can influence careers by signifying inclusivity or exclusivity. Despite a predominantly women-employed workforce, more women were selected by publishing organizations for awards but were underrecognized. Award programs exhibited a preference for US-based awardees despite global representation of individuals' localities. To promote equity, organizations are encouraged to appoint diverse committees, increase transparency, and publicize awards in historically excluded communities.
LEARNED PUBLISHING
(2023)
Article
Cell Biology
Hanna Hasselblatt, Robert Kurzbauer, Corinna Wilken, Tobias Krojer, Justyna Sawa, Juliane Kurt, Rebecca Kirk, Sonja Hasenbein, Michael Ehrmann, Tim Clausen
GENES & DEVELOPMENT
(2007)
