A bird’s eye view of fibroblast heterogeneity: A pan‐disease, pan‐cancer perspective

2021 ◽  
Author(s):  
Rachana N. Pradhan ◽  
Akshay T. Krishnamurty ◽  
Anne L. Fletcher ◽  
Shannon J. Turley ◽  
Sören Müller
Keyword(s):  
Pan Cancer ◽  
Fibroblast Heterogeneity

A Time-Resolved Proteotranscriptomic Atlas of the Human Placenta Reveals Pan-Cancer Immunomodulators

2019 ◽  
Author(s):  
Na Ding ◽  
Botao Zhang ◽  
Wantao Ying ◽  
Jie Song ◽  
Zhenghong Chang ◽  
...  
Keyword(s):  
Human Placenta ◽  
Time Resolved ◽  
Pan Cancer

Pan-Cancer Analysis of Expression, Mutation and Prognosis for Hypoxia-Inducible Factors (HIFs) and Their Regulators

2020 ◽  
Author(s):  
Jingwei Liu ◽  
Hao Li ◽  
Min Guo ◽  
Jun-ling Ren ◽  
Ling Ren ◽  
...  
Keyword(s):  
Hypoxia Inducible Factors ◽  
Pan Cancer

A Pan-Cancer Review of ALK Mutations: Implications for Carcinogenesis and Therapy

2015 ◽  
Vol 15 (4) ◽  
pp. 327-336 ◽  
Author(s):  
Nick Ming Yau ◽  
Andrew Fong ◽  
Hiu Leung ◽  
Krista Verhoeft ◽  
Qin Lim ◽  
...  
Keyword(s):  
Cancer Review ◽  
Pan Cancer

A pan-cancer analysis of the human tumor coagulome and its link to the tumor immune microenvironment

2020 ◽  
Author(s):  
Zuzana Saidak ◽  
Simon Soudet ◽  
Marine Lottin ◽  
Valéry Salle ◽  
Marie-Antoinette Sevestre ◽  
...  
Keyword(s):  
Human Tumor ◽  
Immune Microenvironment ◽  
Tumor Immune Microenvironment ◽  
Pan Cancer

scholarly journals Characterization of the Survival Influential Genes in Carcinogenesis

2021 ◽  
Vol 22 (9) ◽  
pp. 4384
Author(s):  
Divya Sahu ◽  
Yu-Lin Chang ◽  
Yin-Chen Lin ◽  
Chen-Ching Lin
Keyword(s):  
Cell Cycle ◽  
Cox Regression ◽  
Monte Carlo Algorithm ◽  
Functional Modules ◽  
Protective Genes ◽  
Cancer Types ◽  
Underlying Mechanisms ◽  
Patient Prognosis ◽  
Pan Cancer

The genes influencing cancer patient mortality have been studied by survival analysis for many years. However, most studies utilized them only to support their findings associated with patient prognosis: their roles in carcinogenesis have not yet been revealed. Herein, we applied an in silico approach, integrating the Cox regression model with effect size estimated by the Monte Carlo algorithm, to screen survival-influential genes in more than 6000 tumor samples across 16 cancer types. We observed that the survival-influential genes had cancer-dependent properties. Moreover, the functional modules formed by the harmful genes were consistently associated with cell cycle in 12 out of the 16 cancer types and pan-cancer, showing that dysregulation of the cell cycle could harm patient prognosis in cancer. The functional modules formed by the protective genes are more diverse in cancers; the most prevalent functions are relevant for immune response, implying that patients with different cancer types might develop different mechanisms against carcinogenesis. We also identified a harmful set of 10 genes, with potential as prognostic biomarkers in pan-cancer. Briefly, our results demonstrated that the survival-influential genes could reveal underlying mechanisms in carcinogenesis and might provide clues for developing therapeutic targets for cancers.

scholarly journals The effect of TGFβRI inhibition on fibroblast heterogeneity in hypertrophic scar 2D in vitro models

Burns ◽  
2021 ◽  
Author(s):  
Rajiv S. Raktoe ◽  
Marion H. Rietveld ◽  
Jacoba J. Out-Luiting ◽  
Marianna Kruithof-de Julio ◽  
Paul P.M. van Zuijlen ◽  
...  
Keyword(s):  
Hypertrophic Scar ◽  
In Vitro Models ◽  
Fibroblast Heterogeneity
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