Running clusterprofiler GSEA in R wit the following command.

GSEA(geneList = gl, TERM2GENE = sig, pvalueCutoff = 1) where sig s a data frame containing three different gene sets and associated genes (75 each) in two columns and gl is a vector of logFC with gene symbol.

GSEA however only return gene sets that are significant regardless of pvaluecutoff values. Any ideas?

R version 4.0.3 (2020-10-10)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Catalina 10.15.7

Matrix products: default
BLAS:   /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRlapack.dylib

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

attached base packages:
 [1] parallel  stats4    grid      stats     graphics 
 [6] grDevices utils     datasets  methods   base     

other attached packages:
 [1] tidyr_1.1.2                
 [2] wesanderson_0.3.6          
 [3] edgeR_3.32.1               
 [4] variancePartition_1.20.0   
 [5] scales_1.1.1               
 [6] BiocParallel_1.24.1        
 [7] limma_3.46.0               
 [8] GSVA_1.38.1                
 [9] org.Hs.eg.db_3.12.0        
[10] AnnotationDbi_1.52.0       
[11] msigdbr_7.2.1              
[12] stringr_1.4.0              
[13] clusterProfiler_3.18.0     
[14] EnhancedVolcano_1.8.0      
[15] ggrepel_0.9.1              
[16] DESeq2_1.30.0              
[17] SummarizedExperiment_1.20.0
[18] Biobase_2.50.0             
[19] MatrixGenerics_1.2.1       
[20] matrixStats_0.58.0         
[21] GenomicRanges_1.42.0       
[22] GenomeInfoDb_1.26.2        
[23] IRanges_2.24.1             
[24] S4Vectors_0.28.1           
[25] BiocGenerics_0.36.0        
[26] VennDiagram_1.6.20         
[27] futile.logger_1.4.3        
[28] pheatmap_1.0.12            
[29] RColorBrewer_1.1-2         
[30] dplyr_1.0.4                
[31] tibble_3.0.6               
[32] gridExtra_2.3              
[33] ggplot2_3.3.3