  We show that a weak concentration property for quadratic forms of isotropic
random vectors ${\bf x}$ is necessary and sufficient for the validity of the
Marchenko-Pastur theorem for sample covariance matrices of random vectors
having the form $C{\bf x}$, where $C$ is any rectangular matrix with
orthonormal rows. We also obtain some general conditions guaranteeing the weak
concentration property.
