NanoRNP overcomes tumor heterogeneity in cancer treatment

Q Liu, J Cai, Y Zheng, Y Tan, Y Wang, Z Zhang… - Nano Letters, 2019 - ACS Publications
Tumor heterogeneity has been one of the most important factors leading to the failure of
conventional cancer therapies due to the accumulation of genetically distinct tumor-cell …

[HTML][HTML] Identification of a novel cancer stem cell subpopulation that promotes progression of human fatal renal cell carcinoma by single-cell RNA-seq analysis

X Pan, H Zhang, D Xu, J Chen, W Chen… - … journal of biological …, 2020 - ncbi.nlm.nih.gov
Background: Cancer stem cells (CSCs) are biologically characterized by self-renewal, multi-
directional differentiation and infinite proliferation, inducing anti-tumor drug resistance and …

Masking effect of anti-androgens on androgenic activity in European river sediment unveiled by effect-directed analysis

JM Weiss, T Hamers, KV Thomas… - Analytical and …, 2009 - Springer
This study shows that the androgen receptor agonistic potency is clearly concealed by the
effects of androgen receptor antagonists in a total sediment extract, demonstrating that …

Biologically relevant heterogeneity: metrics and practical insights

A Gough, AM Stern, J Maier, T Lezon… - … Life Sciences R&D, 2017 - journals.sagepub.com
Heterogeneity is a fundamental property of biological systems at all scales that must be
addressed in a wide range of biomedical applications, including basic biomedical research …

Towards rapid prediction of drug-resistant cancer cell phenotypes: single cell mass spectrometry combined with machine learning

R Liu, G Zhang, Z Yang - Chemical communications, 2019 - pubs.rsc.org
Combined single cell mass spectrometry and machine learning methods is demonstrated for
the first time to achieve rapid and reliable prediction of the phenotype of unknown single …

Primary and acquired resistance to EGFR-targeted therapies in colorectal cancer: impact on future treatment strategies

SM Leto, L Trusolino - Journal of Molecular Medicine, 2014 - Springer
Only approximately 10% of genetically unselected patients with chemorefractory metastatic
colorectal cancer experience tumor regression when treated with the anti-epidermal growth …

Neuronal signatures in cancer

E Jung, J Alfonso, H Monyer, W Wick… - International journal of …, 2020 - Wiley Online Library
Despite advances in the treatment of solid tumors, the prognosis of patients with many
cancers remains poor, particularly of those with primary and metastatic brain tumors. In the …

A streamlined search technology for identification of synergistic drug combinations

A Weiss, RH Berndsen, X Ding, CM Ho, PJ Dyson… - Scientific reports, 2015 - nature.com
A major key to improvement of cancer therapy is the combination of drugs. Mixing drugs that
already exist on the market may offer an attractive alternative. Here we report on a new …

Drug combinations: mathematical modeling and networking methods

V Vakil, W Trappe - Pharmaceutics, 2019 - mdpi.com
Treatments consisting of mixtures of pharmacological agents have been shown to have
superior effects to treatments involving single compounds. Given the vast amount of possible …

Understanding the genetic mechanisms of cancer drug resistance using genomic approaches

X Hu, Z Zhang - Trends in Genetics, 2016 - cell.com
A major obstacle in precision cancer medicine is the inevitable resistance to targeted
therapies. Tremendous effort and progress has been made over the past few years to …