I’m presuming, since you did not add sufficient detail to the question, that you’re asking us to discuss “average lifespan [not ‘age’] for American men and women”, and not “all men and women in the world”.
And it is actually heart disease, not breast cancer – or all cancers combined – that is the leading cause of premature death among mature women in the USA. But that’s beside the point.
“Average” lifespan depends upon many things, including the handling of child-bearing women during pregnancy and delivery, which have always been elevators of risk among female populations, and improvement in treating childhood disease and causes of infant mortality, which have been problems for both sexes. When infant mortality statistics improve with the survival of more and more newborns, and as childhood infectious disease (and accidental) deaths are prevented, then the “average lifespan” for the population can increase pretty dramatically, even if the oldest people in the society don’t live longer, and in fact, even if they don’t live as long as they used to.
In addition to that, “average” lifespan is a number that is arrived at by simply adding up all of the ages of the people whose lives have already ended by a certain point and then dividing by the number of people whose lifespans went into that calculation. It’s a certain “measure of central tendency”, but it’s not the only one, and not always the best one. The other common measures are “median” (what is the age of the person in the exact center of a list of “all people in the population who have already died) and “mode” (what is the most common age of death of the population in question). (There are other measures of “central tendency”, but I’m sure that I’ve lost most readers already.)
And all of this is completely different from predictions of potential lifespans for people who are already alive, which depend on how old they already are, and then makes predictions for how much longer they might still be shuffling around in this mortal coil.
So it’s important to know what measures you’re looking at. The actuarial tables for a person of my age, for example, may predict that I could expect to live longer than “average” ... because I have already lived so much of that average. That is, I am no longer a candidate for “infant mortality” or “childhood illness”, and I never was a candidate for the complications of pregnancy or childbirth.
But I suspect that you don’t care about this kind of nuance in a response, and it’s all must pedantry to you. Mostly, I find myself writing to @LuckyGuy with replies such as this, so I hope he enjoys it.