Construction of Immune Infiltration-Related LncRNA Signatures Based on Machine Learning for the Prognosis in Colon Cancer-Reference-Cited by-同舟云学术

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Construction of Immune Infiltration-Related LncRNA Signatures Based on Machine Learning for the Prognosis in Colon Cancer

Published:2023-10-04 Issue: Volume: Page:
ISSN:0006-2928
Container-title:Biochemical Genetics
language:en
Short-container-title:Biochem Genet

Author:

Liu Zhe,Petinrin Olutomilayo Olayemi,Toseef Muhammad,Chen Nanjun,Wong Ka-Chun

Funder

National Natural Science Foundation of China

Food and Health Bureau

Strategic Interdisciplinary Research Grant of the City University of Hong Kong

City University of Hong Kong

Publisher

Springer Science and Business Media LLC

Subject

Genetics,Molecular Biology,General Medicine,Ecology, Evolution, Behavior and Systematics,Biochemistry

Link

https://link.springer.com/content/pdf/10.1007/s10528-023-10516-4.pdf

Reference69 articles.

1. Barnes TA, Amir E (2018) HYPE or HOPE: the prognostic value of infiltrating immune cells in cancer. Br J Cancer 118:e5. https://doi.org/10.1038/bjc.2017.417

2. Barrett T, Wilhite SE, Ledoux P et al (2013) NCBI GEO: archive for functional genomics data sets–update. Nucleic Acids Res 41:D991–D995. https://doi.org/10.1093/nar/gks1193

3. Bense RD, Sotiriou C, Piccart-Gebhart MJ et al (2017) Relevance of tumor-infiltrating immune cell composition and functionality for disease outcome in breast cancer. J Natl Cancer Inst. https://doi.org/10.1093/jnci/djw192

4. Chai H, Zhou X, Zhang Z et al (2021) Integrating multi-omics data through deep learning for accurate cancer prognosis prediction. Comput Biol Med 134:104481. https://doi.org/10.1016/j.compbiomed.2021.104481

5. Charoentong P, Finotello F, Angelova M et al (2017) Pan-cancer immunogenomic analyses reveal genotype-immunophenotype relationships and predictors of response to checkpoint blockade. Cell Rep 18:248–262. https://doi.org/10.1016/j.celrep.2016.12.019

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