#install.packages('survival') library(survival) coxPfilter=0.05 kmPfilter=1 setwd("D:\\biowolf\\RBP\\21.uniCox") rt=read.table("tcgaExpTime.txt",header=T,sep="\t",check.names=F,row.names=1) rt$futime=rt$futime/365 outTab=data.frame() sigGenes=c("futime","fustat") for(i in colnames(rt[,3:ncol(rt)])){ cox <- coxph(Surv(futime, fustat) ~ rt[,i], data = rt) coxSummary = summary(cox) coxP=coxSummary$coefficients[,"Pr(>|z|)"] group=ifelse(rt[,i]>median(rt[,i]),"high","low") diff=survdiff(Surv(futime, fustat) ~group,data = rt) pValue=1-pchisq(diff$chisq,df=1) if((coxP|z|)"]) ) } } write.table(outTab,file="tcgaUniCox.txt",sep="\t",row.names=F,quote=F) uniSigExp=rt[,sigGenes] uniSigExp=cbind(id=row.names(uniSigExp),uniSigExp) write.table(uniSigExp,file="tcgaUniSigExp.txt",sep="\t",row.names=F,quote=F) rt <- read.table("tcgaUniCox.txt",header=T,sep="\t",row.names=1,check.names=F) gene <- rownames(rt) hr <- sprintf("%.3f",rt$"HR") hrLow <- sprintf("%.3f",rt$"HR.95L") hrHigh <- sprintf("%.3f",rt$"HR.95H") Hazard.ratio <- paste0(hr,"(",hrLow,"-",hrHigh,")") pVal <- ifelse(rt$pvalue<0.001, "<0.001", sprintf("%.3f", rt$pvalue)) pdf(file="forest.pdf", width = 6,height = 4.5) n <- nrow(rt) nRow <- n+1 ylim <- c(1,nRow) layout(matrix(c(1,2),nc=2),width=c(3,2)) xlim = c(0,3) par(mar=c(4,2.5,2,1)) plot(1,xlim=xlim,ylim=ylim,type="n",axes=F,xlab="",ylab="") text.cex=0.8 text(0,n:1,gene,adj=0,cex=text.cex) text(1.5-0.5*0.2,n:1,pVal,adj=1,cex=text.cex);text(1.5-0.5*0.2,n+1,'pvalue',cex=text.cex,font=2,adj=1) text(3,n:1,Hazard.ratio,adj=1,cex=text.cex);text(3,n+1,'Hazard ratio',cex=text.cex,font=2,adj=1,) par(mar=c(4,1,2,1),mgp=c(2,0.5,0)) xlim = c(0,max(as.numeric(hrLow),as.numeric(hrHigh))) plot(1,xlim=xlim,ylim=ylim,type="n",axes=F,ylab="",xaxs="i",xlab="Hazard ratio") arrows(as.numeric(hrLow),n:1,as.numeric(hrHigh),n:1,angle=90,code=3,length=0.05,col="darkblue",lwd=2.5) abline(v=1,col="black",lty=2,lwd=2) boxcolor = ifelse(as.numeric(hr) > 1, 'red', 'green') points(as.numeric(hr), n:1, pch = 15, col = boxcolor, cex=1.3) axis(1) dev.off()