This a simple consequence of Itô formula in stochastic calculus. I'll explain the one dimensional formula, the d-dimensional is similar.

First of all to answer the questions of Stefan and Wilie, $W_t$ is a Brownian motion process which takes the value $x$ at $t=0$ so the dependence of $x$ is implicit here, most of the references will consider $W_t$ a standard Brownian motion which means it takes the value $0$ at $t=0$ and in the above formula you'll have $x+W_t$ instead. $\Delta_s$ here means the sum of all the mixed derivatives.

Itô formula states that $$du(s,W_s)=\frac{\partial u}{\partial s}(s,W_s)ds+\frac{\partial u}{\partial x}(s,W_s)dW_s+\frac{\partial^2 u}{\partial s^2}(s,W_s)ds $$

Integrating this equation between $0$ and $t$ gives

$$u(t,W_t)=u(0,W_0)+\int_0^t\frac{\partial u}{\partial s}(s,W_s)ds+\int_0^t\frac{\partial u}{\partial x}(s,W_s)dW_s+\int_0^t\frac{\partial^2 u}{\partial s^2}(s,W_s)ds $$

now taking the expactation $E^x$ which means the conditional expactation knowing that $W_0=x$ we get the results as we have $$ E^x[\int_0^t\frac{\partial u}{\partial x}(s,W_s)dW_s]=0$$

by the way, you have a typo in your formula where you wrote $y$ instead of $t$.

All the conditions about the polynomial growth are made just to make the expectations converge. Hope this is clear.

This a simple consequence of Itô formula in stochastic calculus. I'll explain the one dimensional formula, the d-dimensional is similar.

First of all to answer the questions of Stefan and Wilie, $W_t$ is a Brownian motion process which takes the value $x$ at $t=0$ so the dependence of $x$ is implicit here, most of the references will consider $W_t$ a standard Brownian motion which means it takes the value $0$ at $t=0$ and in the above formula you'll have $x+W_t$ instead. $\Delta_s$ here means the sum of all the mixed derivatives.

Itô formula states that $$du(s,W_s)=\frac{\partial u}{\partial s}(s,W_s)ds+\frac{\partial u}{\partial x}(s,W_s)dW_s+\frac 12\frac{\partial^2 u}{\partial s^2}(s,W_s)ds $$

Integrating this equation between $0$ and $t$ gives

$$u(t,W_t)=u(0,W_0)+\int_0^t\frac{\partial u}{\partial s}(s,W_s)ds+\int_0^t\frac{\partial u}{\partial x}(s,W_s)dW_s+\int_0^t\frac12\frac{\partial^2 u}{\partial s^2}(s,W_s)ds $$

now taking the expactation $E^x$ which means the conditional expactation knowing that $W_0=x$ we get the results as we have $$ E^x[\int_0^t\frac{\partial u}{\partial x}(s,W_s)dW_s]=0$$

by the way, you have a typo in your formula where you wrote $y$ instead of $t$.

All the conditions about the polynomial growth are made just to make the expectations converge. Hope this is clear.