TGI: Tumor growth inhibition (TGI) rate caculating

In SCBIT-YYLab/DRAP: Drug Response Analysis Tailored for Drug Testing on Patient-Derived Tumor Models

Description

Caculate tumor growth inhibition (TGI) rate of each Arms based on negative control arm.

Usage

TGI(data, neg.control, pattern = c('oneAN','TAN'), method = c('deltaV','RCV','AUC'))

Arguments

data	a data frame of measured tumor volume data.
neg.control	the negative control arm.
pattern	the pattern of PDX trial design, "oneAN" or "TAN".
method	the method used to caculate TGI.

Value

The TGI value of each experimental arm.

Note

Tumor growth inhibition (TGI) is one of the most widely used indicators to mesure the effect of tumor growth inhibition of treatment. Even though many forms of caculating TGI have been apllied in publications and the field of drug R&D, the basic form is following: TGI = (1 - F(VT)/F(VC)). F(VT) and F(VC) mean the calculating ways for the treatment arm and control arm respectively. DRAP provides three types of F( ) function to calculate TGI: (1) F=Vt-V0; (2) F=Vt/V0; (3) F = area under the curve of tumor volume. Vt and V0 represent the mean tumor volume at the time t and time 0 respectively.

Examples

### oenAN pattern
data(oneAN.volume.data)
oneAN.tgi <- TGI(data = oneAN.volume.data,
                 neg.control = 'Control',
                 method = 'AUC',
                 pattern = 'oneAN')


###TAN pattern
data(TAN.volume.data)
TAN.tgi <- TGI(TAN.volume.data,
               neg.control = 'Control',
               pattern = 'TAN',
               method = 'AUC')

SCBIT-YYLab/DRAP documentation built on April 7, 2020, 2:03 a.m.