Results 31 to 40 of about 25,337,422 (423)

Super‐Multiplex Nonlinear Optical Imaging Unscrambles the Statistical Complexity of Cancer Subtypes and Tumor Microenvironment

Advanced Science, 2022
Label‐free nonlinear optical imaging (NLOI) has made tremendous inroads toward unscrambling the microcosmic complexity of cancers. However, harmonic and Raman microscopy offers throughput without redox information to reveal metabolic differentiation, and
Yanping Li, Binglin Shen, Gengjin Zou, Rui Hu, Ying Pan, Junle Qu, Liwei Liu   +6 more
doaj   +1 more source

Women in contemporary cancer research [PDF]

, 2020
Despite recent advances, gender inequality persists in many scientific fields, including medicine. Thus far, no study has extensively analyzed the gender composition of contemporary researchers in the oncology field.
AACR—Women in Cancer Research (WICR), Association of American Medical Colleges, Persson OD, Roskovensky LB, United Nations Educational, Scientific and Cultural Organization (UNESCO), Vogel G   +5 more
core   +1 more source

Cancer models in preclinical research: A chronicle review of advancement in effective cancer research

Animal Models and Experimental Medicine, 2021
Cancer is a major stress for public well‐being and is the most dreadful disease. The models used in the discovery of cancer treatment are continuously changing and extending toward advanced preclinical studies. Cancer models are either naturally existing
Humna Sajjad, Saiqa Imtiaz, Tayyaba Noor, Y. Siddiqui, Anila Sajjad, M. Zia   +5 more
semanticscholar   +1 more source

Tumorbank@uza: A Collection of Tissue, Fluid Samples and Associated Data of Oncology Patients for the Use in Translational Research

Open Journal of Bioresources, 2018
Tumorbank@UZA is an academic hospital integrated biobank that collects tissue, blood and urine samples from oncology patients. We work according to a quality management system and have established SOPs for all work procedures in the biobank.
Sofie Goethals, Annemieke De Wilde, Katrien Lesage, Elke Smits, Patrick Pauwels, Marc Peeters   +5 more
doaj   +1 more source

Rosalind and Morris Goodman Cancer Research Centre Annual Symposium | May 6-7, 2021

McGill Journal of Medicine, 2021
n ...
The Rosalind and Morris Goodman Cancer Research Centre (GCRC)
doaj  

Application of High-Throughput Imaging Mass Cytometry Hyperion in Cancer Research

Frontiers in Immunology, 2022
Imaging mass cytometry (IMC) enables the in situ analysis of in-depth-phenotyped cells in their native microenvironment within the preserved architecture of a single tissue section.
Marion Le Rochais, Marion Le Rochais, Patrice Hemon, Jacques-Olivier Pers, Arnaud Uguen, Arnaud Uguen   +5 more
doaj   +1 more source

RNA sequencing: new technologies and applications in cancer research

Journal of Hematology & Oncology, 2020
Over the past few decades, RNA sequencing has significantly progressed, becoming a paramount approach for transcriptome profiling. The revolution from bulk RNA sequencing to single-molecular, single-cell and spatial transcriptome approaches has enabled ...
Mingye Hong, Shuang Tao, Ling Zhang, Li-Ting Diao, Xuanmei Huang, Shaohui Huang, Shu-juan Xie, Zhen-Dong Xiao, Hua Zhang   +8 more
semanticscholar   +1 more source

Progressing Towards a Human-Centric Approach in Cancer Research

Frontiers in Oncology, 2022
Despite the advancement in research methodologies and technologies for cancer research, there is a high rate of anti-cancer drug attrition. In this review, we discuss different conventional and modern approaches in cancer research and how human-centric ...
Aditya Parekh, Aditya Parekh, Subhayan Das, Chandan K. Das, Mahitosh Mandal   +4 more
doaj   +1 more source

Cancer Research [PDF]

Science, 1912
n ...
openaire   +2 more sources

Establishing guidelines to harmonize tumor mutational burden (TMB): in silico assessment of variation in TMB quantification across diagnostic platforms: phase I of the Friends of Cancer Research TMB Harmonization Project

Journal for ImmunoTherapy of Cancer, 2020
Background Tumor mutational burden (TMB), defined as the number of somatic mutations per megabase of interrogated genomic sequence, demonstrates predictive biomarker potential for the identification of patients with cancer most likely to respond to ...
Diana M Merino, L. McShane, D. Fabrizio, V. Funari, Shu-Jen Chen, J. White, P. Wenz, J. Baden, J. Barrett, R. Chaudhary, Li Chen, W. Chen, J. Cheng, D. Cyanam, J. Dickey, Vikas Gupta, M. Hellmann, E. Helman, Yali Li, J. Maas, Arnaud Papin, R. Patidar, K. Quinn, N. Rizvi, H. Tae, Christine Ward, Mingchao Xie, A. Zehir, Chen Zhao, M. Dietel, A. Stenzinger, M. Stewart, J. Allen   +32 more
semanticscholar   +1 more source