2021
DOI: 10.1038/s41416-021-01488-6
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Fibroblast growth factor receptor 3 alterations and response to immune checkpoint inhibition in metastatic urothelial cancer: a real world experience

Abstract: BACKGROUND: FGFR3-altered urothelial cancer (UC) correlates with a non-T cell-inflamed phenotype and has therefore been postulated to be less responsive to immune checkpoint blockade (ICB). Preclinical work suggests FGFR3 signalling may suppress pathways such as interferon signalling that alter immune microenvironment composition. However, correlative studies examining clinical trials have been conflicting as to whether FGFR altered tumours have equivalent response and survival to ICB in patients with metastat… Show more

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Cited by 95 publications
(94 citation statements)
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“…To investigate the predictive efficacy of PRGScore on patient response to immunotherapy, we included processed gene expression of a metastatic urothelial cancer (mUC) cohort (EGAS00001002556) that received atezolizumab treatment via the R package IMvigor210CoreBiologies ( ) ( 14 ). In addition, we obtained a mUC cohort (GSE176307) ( 38 ) that received immune checkpoint blockade (ICB) from GEO. We also obtained processed RNA-seq data in a transcripts per million (TPM) matrix of patients treated with anti-PD1 ICB from a large melanoma genome sequencing project (MGSP) ( 39 ).…”
Section: Methodsmentioning
confidence: 99%
“…To investigate the predictive efficacy of PRGScore on patient response to immunotherapy, we included processed gene expression of a metastatic urothelial cancer (mUC) cohort (EGAS00001002556) that received atezolizumab treatment via the R package IMvigor210CoreBiologies ( ) ( 14 ). In addition, we obtained a mUC cohort (GSE176307) ( 38 ) that received immune checkpoint blockade (ICB) from GEO. We also obtained processed RNA-seq data in a transcripts per million (TPM) matrix of patients treated with anti-PD1 ICB from a large melanoma genome sequencing project (MGSP) ( 39 ).…”
Section: Methodsmentioning
confidence: 99%
“…12 Immune checkpoint blockade immunotherapeutic (ICB) cohorts with FPKM or CPM transcriptomic were collected from the public database, included 8 melanoma datasets (Ulloa et al (2013, MAGE A3,Melanoma [ 22 ]);Gide et al (2019, anti-PD1 or anti-PD1 + CTLA4, Melanoma [ 23 ]); Nathanson (2017 CTLA4, Melanoma [ 24 ]); Hugo et al (2016, anti-PD1, Met Melanoma [ 25 ]); Lauss et al (2017, ACT, Melanoma [ 26 ]); Liu et al (2019, anti-PD1, Met Melanoma [ 27 ]); Riaz et al (2017, anti-PD1, Melanoma [ 28 ]); VanAllen (2016, CTLA4, MetMelanoma [ 29 ])), and other 4 non-melanoma cohorts (IMvigor210 (2018, anti-PDL1,Urothelial Cancer [ 30 ]); Braun et al (2020, anti-PD1, CCRCC [ 31 ]); JaeWon et al (2020, anti-PD1, NSCLC [ 32 ]);and Rose et al (2021, ICB, Bladder Cancer [ 33 ])). All patients had the immune response in these cohorts.…”
Section: Methodsmentioning
confidence: 99%
“…To verify the predictive ability of the MHC-II signature on the efficacy of immunotherapy, we collected the transcription and survival data of two additional cohorts treated with immunotherapy from the GEO. These cohorts contained the following: GSE19423, patients with bladder cancer (n = 48) treated with BCG immunotherapy (Kim et al, 2010); GSE176307, patients with bladder cancer (n = 87) treated with anti-PD-L1 drugs (Rose et al, 2021). RNA-seq count data were converted into Transcripts Per Million (TPM) (Wagner et al, 2012) in order to calculate gene signature scores.…”
Section: Data Collection and Preprocessingmentioning
confidence: 99%