Tumor microenvironment: barrier or opportunity towards effective cancer therapy

A Tiwari, R Trivedi, SY Lin - Journal of biomedical science, 2022 - Springer
Tumor microenvironment (TME) is a specialized ecosystem of host components, designed
by tumor cells for successful development and metastasis of tumor. With the advent of 3D …

Therapeutic implications of tumor microenvironment in lung cancer: focus on immune checkpoint blockade

C Genova, C Dellepiane, P Carrega… - Frontiers in …, 2022 - frontiersin.org
In the last decade, the treatment of non-small cell lung cancer (NSCLC) has been
revolutionized by the introduction of immune checkpoint inhibitors (ICI) directed against …

GEPIA2021: integrating multiple deconvolution-based analysis into GEPIA

C Li, Z Tang, W Zhang, Z Ye, F Liu - Nucleic Acids Research, 2021 - academic.oup.com
In 2017, we released GEPIA (Gene Expression Profiling Interactive Analysis) webserver to
facilitate the widely used analyses based on the bulk gene expression datasets in the TCGA …

TIMER2. 0 for analysis of tumor-infiltrating immune cells

T Li, J Fu, Z Zeng, D Cohen, J Li, Q Chen… - Nucleic acids …, 2020 - academic.oup.com
Tumor progression and the efficacy of immunotherapy are strongly influenced by the
composition and abundance of immune cells in the tumor microenvironment. Due to the …

Benchmarking of cell type deconvolution pipelines for transcriptomics data

F Avila Cobos, J Alquicira-Hernandez… - Nature …, 2020 - nature.com
Many computational methods have been developed to infer cell type proportions from bulk
transcriptomics data. However, an evaluation of the impact of data transformation, pre …

IOBR: multi-omics immuno-oncology biological research to decode tumor microenvironment and signatures

D Zeng, Z Ye, R Shen, G Yu, J Wu, Y Xiong… - Frontiers in …, 2021 - frontiersin.org
Recent advances in next-generation sequencing (NGS) technologies have triggered the
rapid accumulation of publicly available multi-omics datasets. The application of integrated …

Hiplot: a comprehensive and easy-to-use web service for boosting publication-ready biomedical data visualization

J Li, B Miao, S Wang, W Dong, H Xu, C Si… - Briefings in …, 2022 - academic.oup.com
Complex biomedical data generated during clinical, omics and mechanism-based
experiments have increasingly been exploited through cloud-and visualization-based data …

[HTML][HTML] Siglec15 shapes a non-inflamed tumor microenvironment and predicts the molecular subtype in bladder cancer

J Hu, A Yu, B Othmane, D Qiu, H Li, C Li, P Liu… - Theranostics, 2021 - ncbi.nlm.nih.gov
Rationale: Siglec15 is an emerging target for normalization cancer immunotherapy.
However, pan-cancer anti-Siglec15 treatment is not yet validated and the potential role of …

Comprehensive evaluation of transcriptome-based cell-type quantification methods for immuno-oncology

G Sturm, F Finotello, F Petitprez, JD Zhang… - …, 2019 - academic.oup.com
Motivation The composition and density of immune cells in the tumor microenvironment
(TME) profoundly influence tumor progression and success of anti-cancer therapies. Flow …

Crosstalk between 5-methylcytosine and N6-methyladenosine machinery defines disease progression, therapeutic response and pharmacogenomic landscape in …

Y Tian, H Xiao, Y Yang, P Zhang, J Yuan, W Zhang… - Molecular cancer, 2023 - Springer
Background Accumulated evidence highlights the significance of the crosstalk between
epigenetic and epitranscriptomic mechanisms, notably 5-methylcytosine (5mC) and N6 …