Results 31 to 40 of about 180,353 (259)

Surfaceome: a new era in the discovery of immune evasion mechanisms of circulating tumor cells

Molecular Oncology, EarlyView.
In the era of immunotherapies, many patients either do not respond or eventually develop resistance. We propose to pave the way for proteomic analysis of surface‐expressed proteins called surfaceome, of circulating tumor cells. This approach seeks to identify immune evasion mechanisms and discover potential therapeutic targets. Circulating tumor cells (
Doryan Masmoudi, Jérome Vialaret, Christophe Hirtz, Catherine Alix‐Panabières   +3 more
wiley   +1 more source

A multi-view approach to cDNA micro-array analysis [PDF]

, 2010
The official published version can be obtained from the link below.Microarray has emerged as a powerful technology that enables biologists to study thousands of genes simultaneously, therefore, to obtain a better understanding of the gene interaction and
Du, M, Li, Y, Liu, X, Shi, Y, Wang, Z, Zineddin, B   +5 more
core   +1 more source

Cell‐free and extracellular vesicle microRNAs with clinical utility for solid tumors

Molecular Oncology, EarlyView.
Cell‐free microRNAs (cfmiRs) are small‐RNA circulating molecules detectable in almost all body biofluids. Innovative technologies have improved the application of cfmiRs to oncology, with a focus on clinical needs for different solid tumors, but with emphasis on diagnosis, prognosis, cancer recurrence, as well as treatment monitoring.
Yoshinori Hayashi, Janelle‐Cheri Millen, Romela Irene Ramos, Jennifer A. Linehan, Timothy G. Wilson, Dave S. B. Hoon, Matias A. Bustos   +6 more
wiley   +1 more source

Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon

Molecular Oncology, EarlyView.
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran, Clarence Yapp, Gregory J. Baker, Johanna Beyer, Young Hwan Chang, Allison L. Creason, Robert Krueger, Jeremy Muhlich, Nathan Heath Patterson, Kevin Sidak, Damir Sudar, Adam J. Taylor, Luke Ternes, Jakob Troidl, Xie Yubin, Artem Sokolov, Darren R. Tyson   +16 more
wiley   +1 more source

Web-based Tools for the Analysis of DNA Microarrays [PDF]

, 2008
End of project reportDNA microarrays are widely used for gene expression profiling. Raw data resulting from microarray experiments, however, tends to be very noisy and there are many sources of technical variation and bias.
Geeleher, P., Golden, A., Hinde, J., Morris, Dermot G.   +3 more
core  

Comparability of Microarray Data between Amplified and Non Amplified RNA in Colorectal Carcinoma [PDF]

, 2009
Microarray analysis reaches increasing popularity during the investigation of prognostic gene clusters in oncology. The standardisation of technical procedures will be essential to compare various datasets produced by different research groups.
Brueckl, WM, Croner, RS, Dimmler, A, Hahn, EG, Hohenberger, W, Lausen, B, Papadopoulos, T, Schellerer, V, Schildberg, C, Wein, A, Zeittraeger, I   +10 more
core   +4 more sources

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

Multiplex single‐cell profiling of putative cancer stem cell markers ALDH1, SOX9, SOX2, CD44, CD133 and CD15 in endometrial cancer

Molecular Oncology, EarlyView.
Cancer stem cells are associated with aggressive disease, but a deep characterization of such markers is lacking in endometrial cancer. This study uses imaging mass cytometry to explore putative cancer stem cell markers in endometrial tumors and corresponding organoid models.
Hilde E. Lien, Marta E. Hjelmeland, Hege F. Berg, Rose M. Gold, Kathrine Woie, Lars A. Akslen, Ingfrid S. Haldorsen, Camilla Krakstad   +7 more
wiley   +1 more source

Microarray sub-grid detection: A novel algorithm [PDF]

, 2007
This is the post print version of the article. The official published version can be obtained from the link below - Copyright 2007 Taylor & Francis LtdA novel algorithm for detecting microarray subgrids is proposed. The only input to the algorithm is the
Antoniol G., Bajcsy P., Blekas K., Daniel Morris, Fabbri R., Li Q., Morris D., Xiaohui Liu, Zidong Wang   +8 more
core   +1 more source

Performance Analysis of Dimensionality Reduction Techniques in Cancer Detection using Microarray Data

ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY, 2021
Cancer is one of the major causes of deaths worldwide. This disease is more ghastly as it doesn’t announce itself until it reaches in an advance stage. Still, mortality rate for cancer can be decreased if we diagnose & provide treatment at earliest. Though there are traditional clinical trials to predict a cancer there does not a single test which can ...
Swati B. Bhonde, Jayashree R. Prasad
openaire   +2 more sources