Reporting results that are significant even with correction, without losing my unadjusted ones? I have a study in which I have several promising variables, all concurring with previous literature and significant at alpha=0.05.

However, I have this one variable that is of special interest and this variable is significant even with the conservative bonferroni correction.

How do I go by slipping in my manuscript like "Hey by the way look at this guy, this guy is definitely not a coincidence"? Because I don't want to set a new alpha and lose all the other good and informative variables.
First of all, I'd say this question is off-topic here, because it relates more to statistics than academia as a whole. 

In any case the answer by Janosch is accurate, when doing a statistical test, an observation is either significant or not.

Sometimes people use stars to annotate the level of significance a particular result would be able to clear, for example:


* for p &lt; 0.05
** for p &lt; 0.01
*** for p &lt; 0.001


Here's another example from an R tutorial article: