Results 131 to 140 of about 778,717 (328)

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

Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics

The World Journal of Men's Health
Artificial intelligence (AI) in medicine has gained a lot of momentum in the last decades and has been applied to various fields of medicine. Advances in computer science, medical informatics, robotics, and the need for personalized medicine have ...
Ramy Abou Ghayda, Rossella Cannarella, Aldo E. Calogero, Rupin Shah, Amarnath Rambhatla, Wael Zohdy, Parviz Kavoussi, Tomer Avidor-Reiss, Florence Boitrelle, Taymour Mostafa, Ramadan Saleh, Tuncay Toprak, Ponco Birowo, Gianmaria Salvio, Gokhan Calik, Shinnosuke Kuroda, Raneen Sawaid Kaiyal, Imad Ziouziou, Andrea Crafa, Nguyen Ho Vinh Phuoc, Giorgio I. Russo, Damayanthi Durairajanayagam, Manaf Al-Hashimi, Taha Abo-Almagd Abdel-Meguid Hamoda, Germar-Michael Pinggera, Ricky Adriansjah, Israel Maldonado Rosas, Mohamed Arafa, Eric Chung, Widi Atmoko, Lucia Rocco, Haocheng Lin, Eric Huyghe, Priyank Kothari, Jesus Fernando Solorzano Vazquez, Fotios Dimitriadis, Nicolas Garrido, Sheryl Homa, Marco Falcone, Marjan Sabbaghian, Hussein Kandil, Edmund Ko, Marlon Martinez, Quang Nguyen, Ahmed M. Harraz, Ege Can Serefoglu, Vilvapathy Senguttuvan Karthikeyan, Dung Mai Ba Tien, Sunil Jindal, Sava Micic, Marina Bellavia, Hamed Alali, Nazim Gherabi, Sheena Lewis, Hyun Jun Park, Mara Simopoulou, Hassan Sallam, Liliana Ramirez, Giovanni Colpi, Ashok Agarwal   +59 more
doaj   +1 more source

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

Response to neoadjuvant chemotherapy in early breast cancers is associated with epithelial–mesenchymal transition and tumor‐infiltrating lymphocytes

Molecular Oncology, EarlyView.
Epithelial–mesenchymal transition (EMT) and tumor‐infiltrating lymphocytes (TILs) are associated with early breast cancer response to neoadjuvant chemotherapy (NAC). This study evaluated EMT and TIL shifts, with immunofluorescence and RNA sequencing, at diagnosis and in residual tumors as potential biomarkers associated with treatment response.
Françoise Derouane, Jérôme Ambroise, Cédric van Marcke, Mieke Van Bockstal, Martine Berlière, Christine Galant, Hélène Dano, Médina Lougué, Elena Benidovskaya, Guy Jerusalem, Vincent Bours, Claire Josse, Jérôme Thiry, Aurélie Daumerie, Caroline Bouzin, Cyril Corbet, François P. Duhoux   +16 more
wiley   +1 more source

KNIME workflows for applications in medicinal and computational chemistry

Artificial Intelligence Chemistry
Artificial intelligence (AI) has huge potential to accelerate drug discovery, but challenges remain in implementing AI algorithms that can be used by the broad scientific community. Identification of molecular features and their subsequent use in training of machine learning models may permit prediction of new molecules with enhanced properties ...
Ruchira Joshi, Zipeng Zheng, Palak Agarwal, Ma’mon M. Hatmal, Xinmin Chang, Paul Seidler, Ian S. Haworth   +6 more
openaire   +2 more sources

Molecular and functional profiling unravels targetable vulnerabilities in colorectal cancer

Molecular Oncology, EarlyView.
We used whole exome and RNA‐sequencing to profile divergent genomic and transcriptomic landscapes of microsatellite stable (MSS) and microsatellite instable (MSI) colorectal cancer. Alterations were classified using a computational score for integrative cancer variant annotation and prioritization.
Efstathios‐Iason Vlachavas, Konstantinos Voutetakis, Vivian Kosmidou, Spyridon Tsikalakis, Spyridon Roditis, Konstantinos Pateas, Ryangguk Kim, Kymberleigh Pagel, Stephan Wolf, Gregor Warsow, Antonia Dimitrakopoulou‐Strauss, Georgios N. Zografos, Alexander Pintzas, Johannes Betge, Olga Papadodima, Stefan Wiemann   +15 more
wiley   +1 more source

Peripheral blood proteome biomarkers distinguish immunosuppressive features of cancer progression

Molecular Oncology, EarlyView.
Immune status significantly influences cancer progression. This study used plasma proteomics to analyze benign 67NR and malignant 4T1 breast tumor models at early and late tumor stages. Immune‐related proteins–osteopontin (Spp1), lactotransferrin (Ltf), calreticulin (Calr) and peroxiredoxin 2 (Prdx2)–were associated with systemic myeloid‐derived ...
Yeon Ji Park, Jae Won Oh, Hyewon Chung, Jung Won Kwon, Yi Rang Na, Kwang Pyo Kim, Seung Hyeok Seok   +6 more
wiley   +1 more source

Stochastic variation in the FOXM1 transcription program mediates replication stress tolerance

Molecular Oncology, EarlyView.
Cellular heterogeneity is a major cause of drug resistance in cancer. Segeren et al. used single‐cell transcriptomics to investigate gene expression events that correlate with sensitivity to the DNA‐damaging drugs gemcitabine and prexasertib. They show that dampened expression of transcription factor FOXM1 and its target genes protected cells against ...
Hendrika A. Segeren, Kathryn A. Wierenga, Frank M. Riemers, Elsbeth A. van Liere, Bart Westendorp   +4 more
wiley   +1 more source

Classification of acute myeloid leukemia based on multi‐omics and prognosis prediction value

Molecular Oncology, EarlyView.
The Unsupervised AML Multi‐Omics Classification System (UAMOCS) integrates genomic, methylation, and transcriptomic data to categorize AML patients into three subtypes (UAMOCS1‐3). This classification reveals clinical relevance, highlighting immune and chromosomal characteristics, prognosis, and therapeutic vulnerabilities.
Yang Song, Zhe Wang, Guangji Zhang, Jiangxue Hou, Kaiqi Liu, Shuning Wei, Yan Li, Chunlin Zhou, Dong Lin, Min Wang, Hui Wei, Jianxiang Wang, Tao Cheng, Yingchang Mi   +13 more
wiley   +1 more source

113. Computer Applications in Disaster Medicine: E-Mail Link With Besieged Sarajevo [PDF]

, 1995
Ernesto A. Pretto, Mirsada Begovič, Nermin Zukic   +2 more
openalex   +1 more source