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Cited by 1,250

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

IOBR: Multi-Omics Immuno-Oncology Biological Research to Decode Tumor Microenvironment and Signatures

Open access
Zeng, Dongqiang, Ye, Zilan, Shen, Rongfang, Yu, Guangchuang, Wu, Jiani, Xiong, Yi, Zhou, Rui, Qiu, Wenjun, Huang, Na, Sun, Li, Li, Xuejun, Bin, Jianping, Liao, Yulin, Shi, Min, Liao, Wangjun·2021·Frontiers in Immunology

Abstract

Recent advances in next-generation sequencing (NGS) technologies have triggered the rapid accumulation of publicly available multi-omics datasets. The application of integrated omics to explore robust signatures for clinical translation is increasingly emphasized, and this is attributed to the clinical success of immune checkpoint blockades in diverse malignancies. However, effective tools for comprehensively interpreting multi-omics data are still warranted to provide increased granularity into the intrinsic mechanism of oncogenesis and immunotherapeutic sensitivity. Therefore, we developed a computational tool for effective Immuno-Oncology Biological Research (IOBR), providing a comprehensive investigation of the estimation of reported or user-built signatures, TME deconvolution, and signature construction based on multi-omics data. Notably, IOBR offers batch analyses of these signatures and their correlations with clinical phenotypes, long non-coding RNA (lncRNA) profiling, genomic characteristics, and signatures generated from single-cell RNA sequencing (scRNA-seq) data in different cancer settings. Additionally, IOBR integrates multiple existing microenvironmental deconvolution methodologies and signature construction tools for convenient comparison and selection. Collectively, IOBR is a user-friendly tool for leveraging multi-omics data to facilitate immuno-oncology exploration and to unveil tumor-immune interactions and accelerating precision immunotherapy.

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Metadata

Authors
Zeng, D., Ye, Z., Shen, R., Yu, G., Wu, J., Xiong, Y., Zhou, R., Qiu, W., Huang, N., Sun, L., Li, X., Bin, J., Liao, Y., Shi, M., & Liao, W.
Venue
Frontiers in Immunology
Published
2021-07-02
Volume
12
Pages
687975-687975
ISSN
1664-3224 (ISSN-L)
OpenAlex
W3185587603
Cited by
1,250
References
23
FWCI
63.84
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: IOBR: Multi-Omics Immuno-Oncology Biological Research to Decode Tumor Microenvironment and Signatures. https://app.cochat.ai/papers/10.3389/fimmu.2021.687975
The paper
Zeng, D., Ye, Z., Shen, R., Yu, G., Wu, J., Xiong, Y., Zhou, R., Qiu, W., Huang, N., Sun, L., Li, X., Bin, J., Liao, Y., Shi, M., & Liao, W. (2021). IOBR: Multi-Omics Immuno-Oncology Biological Research to Decode Tumor Microenvironment and Signatures. Frontiers in Immunology. https://doi.org/10.3389/fimmu.2021.687975

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.