[This is a repetition of user21467's answer above]
Ref: "Introduction to Mathematical Statistics" by Hogg, McKean, Craig.
Note the proof of Taylor's theorem using integration by parts. Link to the Stackexchange post: Link.
Note that setting ${ a = (-x), }$ ${ b = 0 , }$
$${ f(0) = \sum _{k = 0} ^{n} \frac{f ^{(k)} (-x)}{k!} x ^k + (-1) ^n \int _{-x} ^{0} \frac{f ^{(n+1)} (t)}{n!} t ^n \, dt . }$$
Hence setting ${ t = - u , }$
$${ f(0) = \sum _{k = 0} ^{n} \frac{f ^{(k)} (-x)}{k!} x ^k + (-1) ^n \int _{x} ^{0} \frac{f ^{(n+1)} (-u)}{n!} (-u) ^n \, (- du) . }$$
Hence
$${ \boxed{f(0) = \sum _{k = 0} ^{n} \frac{f ^{(k)} (-x)}{k!} x ^k + \int _{0} ^{x} \frac{f ^{(n+1)} (-u)}{n!} u ^n \, du } . }$$
We can consider some special cases of this duality.
[Poisson and Gamma CDFs]
Set ${ f }$ such that ${ f ^{(n+1)} (-u) = e ^{-u} . }$
Set ${ f }$ such that ${ f ^{(n+1)} (u) = e ^u . }$
Set
$${ f(u) := e ^u . }$$
Hence
$${ 1 = \sum _{k = 0} ^n \frac{e ^{-x} }{k!} x ^k + \int _0 ^x \frac{e ^{-u}}{n!} u ^n \, du . }$$
Hence equivalently,
$${\boxed{ 1 = \mathbb{P}(\text{Poi}(x) \leq n) + \mathbb{P}(\text{Gamma}(n+1, 1) \leq x ) } }$$
as needed.
[Binomial and Beta CDFs]
Set ${ f }$ such that ${ f ^{(n+1)} (-u) = (1-u) ^{m} . }$
Set ${ f }$ such that ${ f ^{(n+1)} (u) = (1 + u) ^{m} . }$
Set
$${ f(u) := \frac{1}{(m+1)(m+2) \ldots (m + n + 1)} (1 + u) ^{m + n + 1} . }$$
Note that
$${ f ^{(k)} (u) = \frac{1}{(m+1) (m +2) \ldots (m + n + 1 - k)} (1 + u) ^{m + n + 1 - k } . }$$
Hence
$${ \frac{m!}{(m + n + 1)!} = \sum _{k = 0} ^{n} \frac{1}{k!} \frac{m!}{(m + n + 1 - k)!} (1 - x) ^{m + n + 1 - k} x ^k + \int _0 ^x \frac{(1-u) ^m}{n!} u ^n \, du . }$$
Hence
$${ 1 = \sum _{k = 0} ^{n} \frac{1}{k!} \frac{(m + n + 1)!}{(m + n + 1 - k)!} (1 - x) ^{m + n + 1 - k} x ^k + \frac{(m + n + 1)!}{m! n !} \int _0 ^x (1 - u) ^m u ^n \, du . }$$
Hence equivalently,
$${ \boxed{1 = \mathbb{P}(\text{Bin}(m + n + 1, x) \leq n) + \mathbb{P}(\text{Beta}(m + 1, n + 1) \leq x) } }$$
as needed.