The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Profiling Tumor Infiltrating Immune Cells with CIBERSORT
Open accessAbstract
Tumor infiltrating leukocytes (TILs) are an integral component of the tumor microenvironment and have been found to correlate with prognosis and response to therapy. Methods to enumerate immune subsets such as immunohistochemistry or flow cytometry suffer from limitations in phenotypic markers and can be challenging to practically implement and standardize. An alternative approach is to acquire aggregative high dimensional data from cellular mixtures and to subsequently infer the cellular components computationally. We recently described CIBERSORT, a versatile computational method for quantifying cell fractions from bulk tissue gene expression profiles (GEPs). Combining support vector regression with prior knowledge of expression profiles from purified leukocyte subsets, CIBERSORT can accurately estimate the immune composition of a tumor biopsy. In this chapter, we provide a primer on the CIBERSORT method and illustrate its use for characterizing TILs in tumor samples profiled by microarray or RNA-Seq.
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Cites
Inferring tumour purity and stromal and immune cell admixture from expression data
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The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups
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Predictive correlates of response to the anti-PD-L1 antibody MPDL3280A in cancer patients
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Cited by
Baccin, C., Al-Sabah, J., Velten, L., Helbling, P. M., Grünschläger, F., Hernández-Malmierca, P., Nombela-Arrieta, C., Steinmetz, L. M., Trumpp, A., & Haas, S. (2020) · Nature Cell Biology · doi:10.1038/s41556-019-0439-6 · Cited by 904
An integrated cell atlas of the lung in health and disease
Sikkema, L., Ramírez-Suástegui, C., Strobl, D. C., Gillett, T. E., Zappia, L., Madissoon, E., Markov, N. S., Zaragosi, L.-E., Ji, Y., Ansari, M., et al. (2023) · Nature Medicine · doi:10.1038/s41591-023-02327-2 · Cited by 854
Swanson, K., Wu, E., Zhang, A., Alizadeh, A. A., & Zou, J. (2023) · Cell · doi:10.1016/j.cell.2023.01.035 · Cited by 597
Self-citationNeutrophil profiling illuminates anti-tumor antigen-presenting potency
Wu, Y., Ma, J., Yang, X., Nan, F., Zhang, T., Ji, S., Rao, D., Feng, H., Gao, K., Gu, X., et al. (2024) · Cell · doi:10.1016/j.cell.2024.02.005 · Cited by 435
Ahmad, A., Imran, M., & Ahsan, H. (2023) · Pharmaceutics · doi:10.3390/pharmaceutics15061630 · Cited by 386
Metadata
- Authors
- Chen, B., Khodadoust, M. S., Liu, C. L., Newman, A. M., & Alizadeh, A. A.
- Venue
- Methods in Molecular Biology
- Publisher
- Springer New York
- Published
- 2018
- Volume
- 1711
- Pages
- 243-259
- ISSN
- 1064-3745 (ISSN-L)
- 1940-6029
- OpenAlex
- W2788142646
- Cited by
- 3,874
- References
- 6
- FWCI
- 222.05
- Type
- book chapter
- Language
- en
- Open access
- green
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- Chen, B., Khodadoust, M. S., Liu, C. L., Newman, A. M., & Alizadeh, A. A. (2018). Profiling Tumor Infiltrating Immune Cells with CIBERSORT. Methods in Molecular Biology. https://doi.org/10.1007/978-1-4939-7493-1_12
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