Circulating miRNA analysis for cancer diagnostics and therapy

L Valihrach, P Androvic, M Kubista - Molecular Aspects of Medicine, 2020 - Elsevier
Successful treatment of cancer depends on early diagnosis and effective monitoring of
patients' response to therapy. Traditional tools based on tumor biopsies lack the sensitivity …

Multi-omics analysis reveals contextual tumor suppressive and oncogenic gene modules within the acute hypoxic response

Z Andrysik, H Bender, MD Galbraith… - Nature …, 2021 - nature.com
Cellular adaptation to hypoxia is a hallmark of cancer, but the relative contribution of hypoxia-
inducible factors (HIFs) versus other oxygen sensors to tumorigenesis is unclear. We employ …

The shape of gene expression distributions matter: how incorporating distribution shape improves the interpretation of cancer transcriptomic data

L De Torrenté, S Zimmerman, M Suzuki… - BMC …, 2020 - Springer
Background In genomics, we often assume that continuous data, such as gene expression,
follow a specific kind of distribution. However we rarely stop to question the validity of this …

Exploring additional valuable information from single-cell RNA-seq data

Y Li, Q Xu, D Wu, G Chen - Frontiers in Cell and Developmental …, 2020 - frontiersin.org
Single-cell RNA-seq (scRNA-seq) technologies are broadly applied to dissect the cellular
heterogeneity and expression dynamics, providing unprecedented insights into single-cell …

Spatially-resolved transcriptomics reveal macrophage heterogeneity and prognostic significance in diffuse large B-cell lymphoma

M Liu, G Bertolazzi, S Sridhar, RX Lee… - Nature …, 2024 - nature.com
Macrophages are abundant immune cells in the microenvironment of diffuse large B-cell
lymphoma (DLBCL). Macrophage estimation by immunohistochemistry shows varying …

Mutual-assistance learning for standalone mono-modality survival analysis of human cancers

Z Ning, Z Zhao, Q Feng, W Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Current survival analysis of cancers confronts two key issues. While comprehensive
perspectives provided by data from multiple modalities often promote the performance of …

Influence of tumor-infiltrating immune cells on local control rate, distant metastasis, and survival in patients with soft tissue sarcoma

MA Smolle, L Herbsthofer, M Goda, B Granegger… - …, 2021 - Taylor & Francis
Soft tissue sarcomas (STS) are considered non-immunogenic, although distinct entities
respond to anti-tumor agents targeting the tumor microenvironment. This study's aims were …

[HTML][HTML] Biomarkers in acute myeloid leukemia: From state of the art in risk classification to future challenges of RNA editing as disease predictor and therapy target

A Quattrocchi, LV Cappelli, G De Simone… - Aspects of Molecular …, 2023 - Elsevier
Abstract Acute Myeloid Leukemia (AML) is currently diagnosed based on morphological
assessment of myeloid cells' features, immunophenotypic characterization of specific cell …

Unveiling the hub genes in the SIGLECs family in colon adenocarcinoma with machine learning

T Li, J Yao - Frontiers in Genetics, 2024 - frontiersin.org
Background Despite the recognized roles of Sialic acid-binding Ig-like lectins (SIGLECs) in
endocytosis and immune regulation across cancers, their molecular intricacies in colon …

[BUKU][B] Artificial intelligence and high-performance computing for accelerating structure-based drug discovery

AR Clyde - 2022 - search.proquest.com
Traditional techniques for discovering novel drugs are too slow for 21st challenges, from
precision oncology to emerging global pandemics. The COVID-19 Pandemic demonstrated …