Immunophenoscores (IPS) for LUAD were acquired from the Cancer Immunome Atlas (TCIA) database (http://tcia.at/home)30. The Cancer Drug Sensitivity Genomics of Cancer Cell Lines (GDSC) database (https://www.ancerrxgene.org/) were applied for assessment of potential clinical application of...
To evaluate the distribution of macrophages in the TME, we firstly utilized gene set enrichment analysis (GSEA) via the cancer immunome database (TCIA)16. The results of the characterization of macrophages showed the heterogeneity across 19 solid cancers, and macrophages were enriched in stomach ad...
BMC Bioinformatics (2023) 24:238 Page 6 of 21 Prediction of therapeutic response The immune checkpoint inhibitor immunophenoscore (IPS) profile of LUSC patients was downloaded from the Cancer Immunome Database (TCIA, https://tcia.at/home) [28]. The IPS is a good predictor of...
The IPS of cervical cancer patients were collected from the Cancer Immunome Atlas (TCIA, https://tcia.at/home) database. Moreover, the IMvigor210 dataset with anti-PD-L1 therapy was implemented to assess the immunotherapy value of the risk score using the “IMvigor210CoreBiologies” R ...
Additionally, we integrated data from the Cancer Immunome Atlas (TCIA) for ccRCC immunotherapy insights and leveraged the Genomics of Drug Sensitivity in Cancer (GDSC) database to assess drug sensitivity models. We complemented our findings with single-cell sequencing data and empl...
Tumor mutational load (TMB), a potential biomarker of immunotherapy response, was calculated based on somatic non-synonymous mutations. Tumor immunophenotype scores (IPS) were obtained from The Cancer Immunome Atlas (TCIA) and analyzed. Predictions of immunotherapy efficacy were validated using risk mod...
By using TIDE and The Cancer Immunome Atlas (TCIA) platforms (https://tcia.at/home, accessed on 18 March 2024), the Immunophenoscore (IPS) (https://tcia.at/tools/toolsMain, accessed on 18 March 2024) and exclusion scores were provided. Better responsiveness to immunotherapeutic agents is ...