Results 191 to 200 of about 1,583,856 (340)

Etoposide‐induced cancer cell death: roles of mitochondrial VDAC1 and calpain, and resistance mechanisms

Molecular Oncology, EarlyView.
The complex mode of action of the topoisomerase II inhibitor etoposide in triggering apoptosis involves several mechanisms: overexpression of the mitochondrial protein VDAC1, leading to its oligomerization and formation of a large channel that mediates the release of pro‐apoptotic protein; and overexpression of the apoptosis regulators p53, Bax, and ...
Aditya Karunanithi Nivedita, Varda Shoshan‐Barmatz   +1 more
wiley   +1 more source

1P275 Comprehension of T cells as small error detection system and its meanings to avoid cancer mass production(Mathematical biology, biological rythms, and non-equilibrium phenomena,Poster Presentations)

, 2007
Michiko Takase, Mitsuo Takase
openalex   +2 more sources

Atlas of Cancer Signalling Network: a systems biology resource for integrative analysis of cancer data with Google Maps [PDF]

, 2015
Inna Kuperstein, Eric Bonnet, Ha Nam Nguyen, David Cohen, Eric Viara, Luca Grieco, Simon Fourquet, Laurence Calzone, Claudio Russo, Maria Kondratova, Marie Dutreix, Emmanuel Barillot, Andreï Zinovyev   +12 more
openalex   +1 more source

Respiratory complex I‐mediated NAD+ regeneration regulates cancer cell proliferation through the transcriptional and translational control of p21Cip1 expression by SIRT3 and SIRT7

Molecular Oncology, EarlyView.
NAD+ regeneration by mitochondrial complex I NADH dehydrogenase is important for cancer cell proliferation. Specifically, NAD+ is necessary for the activities of NAD+‐dependent deacetylases SIRT3 and SIRT7, which suppress the expression of p21Cip1 cyclin‐dependent kinase inhibitor, an antiproliferative molecule, at the translational and transcriptional
Masato Higurashi, Kazunori Mori, Hidetsugu Nakagawa, Momoko Uchida, Fumihiro Ishikawa, Motoko Shibanuma   +5 more
wiley   +1 more source

CRA toolbox: software package for conditional robustness analysis of cancer systems biology models in MATLAB. [PDF]

BMC Bioinformatics, 2019
Bianconi F, Antonini C, Tomassoni L, Valigi P.   +3 more
europepmc   +1 more source

Peripheral blood leukocyte signatures as biomarkers in relapsed ovarian cancer patients receiving combined anti‐CD73/anti‐PD‐L1 immunotherapy in arm A of the NSGO‐OV‐UMB1/ENGOT‐OV30 trial

Molecular Oncology, EarlyView.
Using mass cytometry, we analyzed serial blood samples from patients with relapsed epithelial ovarian cancer (EOC) treated with oleclumab–durvalumab combination immunotherapy in the NSGO‐OV‐UMB1/ENGOT‐OV30 trial. Our analysis identified potential predictive, monitoring, and response biomarkers detectable through liquid biopsy. These findings facilitate
Luka Tandaric, Annika Auranen, Katrin Kleinmanns, René DePont Christensen, Liv Cecilie Vestrheim Thomsen, Cara Ellen Wogsland, Emmet McCormack, Johanna Mäenpää, Kristine Madsen, Karen Stampe Petersson, Mansoor Raza Mirza, Line Bjørge   +11 more
wiley   +1 more source

Cancermorphic Computing Toward Multilevel Machine Intelligence [PDF]

arXiv
Despite their potential to address crucial bottlenecks in computing architectures and contribute to the pool of biological inspiration for engineering, pathological biological mechanisms remain absent from computational theory. We hereby introduce the concept of cancer-inspired computing as a paradigm drawing from the adaptive, resilient, and ...
arxiv  

Analysis of comprehensive genomic profiling of solid tumors with a novel assay for broad analysis in clinical diagnostics

Molecular Oncology, EarlyView.
In molecular cancer diagnostics, comprehensive genomic profiling (CGP) is going to replace the small NGS panels since it provides all clinically relevant somatic variants as well as genomic biomarkers with clinical value. Here, we compared two CGP assays and demonstrate that the choice for diagnostic implementation will depend on the specific ...
Guy Froyen, Pieter‐Jan Volders, Ellen Geerdens, Severine Berden, Joni Van der Meulen, Aaron De Cock, Stefanie Vermeire, Jacques Van Huysse, Marie de Barsy, Gabriela Beniuga, Wendy W. J. de Leng, Anne M. L. Jansen, Imke Demers, Zeliha Ozgur, Hendrikus Jan Dubbink, Ernst‐Jan M. Speel, Wilfred F. J. van IJcken, Brigitte Maes   +17 more
wiley   +1 more source

Integrative analysis and machine learning on cancer genomics data using the Cancer Systems Biology Database (CancerSysDB). [PDF]

BMC Bioinformatics, 2018
Krempel R, Kulkarni P, Yim A, Lang U, Habermann B, Frommolt P.   +5 more
europepmc   +1 more source

Author Correction: A census of pathway maps in cancer systems biology [PDF]

, 2021
Brent M. Kuenzi, Trey Ideker
openalex   +1 more source