Sorry for late reply.
Yes it is possible to use GANs for predictions. You can use it for regression by using conditional GANs where you condition the input of generator and discriminator on your input features, You generate your regression prediction using the generator network and discriminator network distinguishes between real prediction and generated prediction. Although it is possible I think this should be only used for very complex dataset where other methods are failing because GANs are inherently unstable and have mode collapse problem.
I hope that helps.