Cancer stem cells: current status and evolving complexities.

By Jane E. Visvader, G. Lindeman. Cell Stem Cell, 2012

1,280 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Molecular Biology, Oncology

View Paper: https://www.semanticscholar.org/paper/84e6404cfb35de30287cd27ef2d46a849c187d65

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. S. Piccolo
2. Richard A. Young
3. R. Weinberg
4. S. Dupont

In Molecular Biology

1. R. Weinberg
2. S. Piccolo
3. M. Cordenonsi
4. Olivier Gevaert
5. Gianpiero di Leva
6. Carlo Maria Croce
7. Peter W. Laird
8. George W. Bell

In Oncology

1. R. Weinberg
2. Christine L. Chaffer
3. S. Piccolo
4. M. Cordenonsi
5. Ferenc Reinhardt
6. Carlo Maria Croce
7. John N. Weinstein
8. Peter W. Laird

Citations in the corpus

• Reconstructing and reprogramming the tumor propagating potential of glioblastoma stem-like cells (2014, neutral): “The extent to which unidirectional differentiation hierarchies underlie tumor heterogeneity remains controversial (Visvader and Lindeman, 2012).”
• microRNAs in cancer (2013, background): “CSCs are a highly tumorigenic cell type present as a minority population in developmentally diverse tumors and cell lines (123).”
• The biology of YAP/TAZ: hippo signaling and beyond. (2014, background): “The growth of solid tumors has been also proposed to rely on cells with properties of stem cells, called cancer stem cells (CSCs) (213).”
• Targeting cancer stem cell pathways for cancer therapy (2020, background): “10 The Notch signaling pathway plays an important role in the maintenance of CSCs 565,566 and can induce CSC differentiation.”
• Poised chromatin at the ZEB1 promoter enables cell plasticity and enhances tumorigenicity (2013, positive): “Among these antigens, it is widely accepted that breast CSCs are contained exclusively in the CD44hi cell compartment (Al-Hajj et al., 2003; Fillmore and Kuperwasser, 2008; Mani et al., 2008; Visvader and Lindeman, 2012).”
• Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation (2018, background): “…more likely to result in cancer cell spread to distant organs, causing disease progression and poor prognosis, particularly because metastases are usually resistant to available therapies (Friedmann-Morvinski and Verma, 2014; Ge et al., 2017; Shibue and Weinberg, 2017; Visvader and Lindeman, 2012).”