HoltR.A.Immunogenomics: a foundation for intelligent immune design. Genome Medicine, 7: 116. (2015).
2.
GronauerR., MadersbacherL., Monfort-LanzasP., et al.Integrated immunogenomic analyses of high-grade serous ovarian cancer reveal vulnerability to combination immunotherapy. medRxiv. (2024). www.doi.org/10.1101/2024.01.09.24301038
3.
OvRSeq. ovrseq.icbi.at
4.
SiegelD.A., KingJ.B., LupoP.L., et al.Counts, incidence rates, and trends of pediatric cancer in the United States, 2003-2019. Journal of the National Cancer Institute, 115(11):1337–1354. (2023).
5.
LauL.M.S., Khuong-QuangD-A., MayohCh.et al.Precision-guided treatment in high-risk pediatric cancers. Nature Medicine (online ahead of print). (2024). www.nature.com/articles/s41591-024-03044-0
6.
TerryR.L., MeyranD., ZieglerD.S., et al.Immune profiling of pediatric solid tumors. Journal of Clinical Investigation, 130(7):3391–3402. (2020).
7.
PaceA., TanzilliA., BenincasaD.Prognostication in brain tumors. Handbook of Clinical Neurology, 190:149–161. (2022).
8.
Álvarez-PradoA.F., MaasR.R., SoukupK., et al.Immunogenomic analysis of human brain metastases reveals diverse immune landscapes across genetically distinct tumors. Cell Reports Medicine, 4(1): 100900. (2023).
9.
Mendoza-ValderreyA., DettmannE., HanesD., et al.Immunogenomics and spatial proteomic mapping highlight distinct neuro-immune architectures in melanoma vs. non-melanoma-derived brain metastasis. BJC Reports, 2: 38. (2024).
10.
NabbiA., BeckP., DelaidelliA., et al.Transcriptional immunogenomic analysis reveals distinct immunological clusters in paediatric nervous system tumours. Genome Medicine, 15: 67. (2023).
11.
Leonard-MuraliS., BhaskarlaC., YadavG.S., at al. Uveal melanoma immunogenomics predict immunotherapy resistance and susceptibility. Nature Communications, 15: 2863. (2024).
12.
TianS., LuoM., LiaoX., et al.Integrated immunogenomic analysis of single-cell and bulk profiling reveals novel tumor antigens and subtype-specific therapeutic agents in lung adenocarcinoma. Computational and Structural Biotechnology Journal, 23:1897–1911. (2024).
13.
AddalaV., NewellF., PearsonJ.V., et al.Computational immunogenomic approaches to predict response to cancer immunotherapies. Nature Reviews Clinical Oncology, 21:28–46. (2024).
14.
MayM.Massive attack: can biotechnology turn a bonanza of data into a boon?. GEN Biotechnology, 3(3):107–110. (2024).